Interactive Book Reading to Accelerate Word Learning by Kindergarten Children with Specific Language Impairment: Identifying Adequate Progress and Successful Learning Patterns

ERIC Educational Resources Information Center

Storkel, Holly L.; Komesidou, Rouzana; Fleming, Kandace K.; Romine, Rebecca Swinburne

2017-01-01

Purpose: The goal of this study was to provide guidance to clinicians on early benchmarks of successful word learning in an interactive book reading treatment and to examine how encoding and memory evolution during treatment contribute to word learning outcomes by kindergarten children with specific language impairment (SLI). Method: Twenty-seven…

Interactive Book Reading to Accelerate Word Learning by Kindergarten Children with Specific Language Impairment: Identifying an Adequate Intensity and Variation in Treatment Response

ERIC Educational Resources Information Center

Storkel, Holly L.; Voelmle, Krista; Fierro, Veronica; Flake, Kelsey; Fleming, Kandace K.; Romine, Rebecca Swinburne

2017-01-01

Purpose: This study sought to identify an adequate intensity of interactive book reading for new word learning by children with specific language impairment (SLI) and to examine variability in treatment response. Method: An escalation design adapted from nontoxic drug trials (Hunsberger, Rubinstein, Dancey, & Korn, 2005) was used in this Phase…

Experiences of Elementary Music Teachers in a Subject-Specific Professional Learning Community

ERIC Educational Resources Information Center

Anderson, Amy K.

2013-01-01

The purpose of this qualitative case study was to identify ways in which teachers' participation in a subject-specific music professional learning community (PLC) impacts instruction and assessment of musical skills. Previous studies have provided evidence of PLCs' impact on teaching and student learning in many subject areas, but little has been…

Context Fear Learning Specifically Activates Distinct Populations of Neurons in Amygdala and Hypothalamus

ERIC Educational Resources Information Center

Trogrlic, Lidia; Wilson, Yvette M.; Newman, Andrew G.; Murphy, Mark

2011-01-01

The identity and distribution of neurons that are involved in any learning or memory event is not known. In previous studies, we identified a discrete population of neurons in the lateral amygdala that show learning-specific activation of a c-"fos"-regulated transgene following context fear conditioning. Here, we have extended these studies to…

Credit for Lifelong Learning. Fourth Edition.

ERIC Educational Resources Information Center

Mann, Carolyn M.

This guide to developing a prior learning portfolio was prepared to assist students in the Credit for Lifelong Learning Program (CLLP) at Sinclair Community College (SCC) in Dayton, Ohio, through the process of identifying college-level prior learning, matching their learning to specific courses, and articulating and documenting their learning.…

The Future of Personalized Learning for Students with Disabilities

ERIC Educational Resources Information Center

Worthen, Maria

2016-01-01

Personalized learning models can give each student differentiated learning experiences based on their needs, interests, and strengths, including students with disabilities. Personalized learning can pinpoint specific gaps in student learning, identify where a student is on his or her learning pathway, and provide the appropriate interventions to…

Identifying and Supporting English Learner Students with Learning Disabilities: Key Issues in the Literature and State Practice. REL 2015-086

ERIC Educational Resources Information Center

Burr, Elizabeth; Haas, Eric; Ferriere, Karen

2015-01-01

While the literature on learning disabilities and on second-language acquisition is relatively extensive within the field of education, less is known about the specific characteristics and representation of English learner students with learning disabilities. Because there are no definitive resources and processes for identifying and determining…

Quality specifications in postgraduate medical e-learning: an integrative literature review leading to a postgraduate medical e-learning model.

PubMed

De Leeuw, R A; Westerman, Michiel; Nelson, E; Ket, J C F; Scheele, F

2016-07-08

E-learning is driving major shifts in medical education. Prioritizing learning theories and quality models improves the success of e-learning programs. Although many e-learning quality standards are available, few are focused on postgraduate medical education. We conducted an integrative review of the current postgraduate medical e-learning literature to identify quality specifications. The literature was thematically organized into a working model. Unique quality specifications (n = 72) were consolidated and re-organized into a six-domain model that we called the Postgraduate Medical E-learning Model (Postgraduate ME Model). This model was partially based on the ISO-19796 standard, and drew on cognitive load multimedia principles. The domains of the model are preparation, software design and system specifications, communication, content, assessment, and maintenance. This review clarified the current state of postgraduate medical e-learning standards and specifications. It also synthesized these specifications into a single working model. To validate our findings, the next-steps include testing the Postgraduate ME Model in controlled e-learning settings.

Confucian States and Learning Life: Making Scholar-Officials and Social Learning a Political Contestation

ERIC Educational Resources Information Center

Han, SoongHee

2013-01-01

This paper describes how the way the concept of learning is identified and managed in a societal context can provide a crucial clue to explaining how a form of culture as a complex mental organism is constructed and interwoven. Specifically, I argue the point by illustrating that the discourse of Confucianism has fabricated a specific form of…

Using c-Jun to identify fear extinction learning-specific patterns of neural activity that are affected by single prolonged stress.

PubMed

Knox, Dayan; Stanfield, Briana R; Staib, Jennifer M; David, Nina P; DePietro, Thomas; Chamness, Marisa; Schneider, Elizabeth K; Keller, Samantha M; Lawless, Caroline

2018-04-02

Neural circuits via which stress leads to disruptions in fear extinction is often explored in animal stress models. Using the single prolonged stress (SPS) model of post traumatic stress disorder and the immediate early gene (IEG) c-Fos as a measure of neural activity, we previously identified patterns of neural activity through which SPS disrupts extinction retention. However, none of these stress effects were specific to fear or extinction learning and memory. C-Jun is another IEG that is sometimes regulated in a different manner to c-Fos and could be used to identify emotional learning/memory specific patterns of neural activity that are sensitive to SPS. Animals were either fear conditioned (CS-fear) or presented with CSs only (CS-only) then subjected to extinction training and testing. C-Jun was then assayed within neural substrates critical for extinction memory. Inhibited c-Jun levels in the hippocampus (Hipp) and enhanced functional connectivity between the ventromedial prefrontal cortex (vmPFC) and basolateral amygdala (BLA) during extinction training was disrupted by SPS in the CS-fear group only. As a result, these effects were specific to emotional learning/memory. SPS also disrupted inhibited Hipp c-Jun levels, enhanced BLA c-Jun levels, and altered functional connectivity among the vmPFC, BLA, and Hipp during extinction testing in SPS rats in the CS-fear and CS-only groups. As a result, these effects were not specific to emotional learning/memory. Our findings suggest that SPS disrupts neural activity specific to extinction memory, but may also disrupt the retention of fear extinction by mechanisms that do not involve emotional learning/memory. Copyright © 2017 Elsevier B.V. All rights reserved.

Designing Interactive Multimedia Instruction to Address Soldiers’ Learning Needs

DTIC Science & Technology

2014-12-01

A point of need design seeks to identify and meet specific learning needs. It does so by focusing on the learning needs of an identified group ...instructional design and tailored training techniques to address the Army Learning Model (ALM) point of need concept. The point of need concept focuses both on ...developing six IMI exemplars focused on point of need training, including three variations of needs-focused designs : familiarization, core, and tailored

The Impact of Assessment for Learning on Students' Achievement in English for Specific Purposes: A Case Study of Pre-Medical Students at Khartoum University: Sudan

ERIC Educational Resources Information Center

Al-Tayib Umar, Abdul Majeed

2018-01-01

This study tries to identify the effect of assessment for learning on a group of Sudanese pre-medical students' performance in English for Specific Purposes (ESP). The study also attempts to identify students' perception and attitudes towards this type of assessment. The sample of the study is composed of 53 subjects from the Pre-medical students…

Families Are Learning in Science Museums.

ERIC Educational Resources Information Center

Borun, Minda; And Others

1996-01-01

Reports on a study designed to identify and measure family learning in science museums. Findings indicate that families do learn from exhibits and the level of learning is related to specific observed behaviors. Grouping these behaviors as performance indicators provides a useful measure of exhibit learning. Appendixes include a demographic…

Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports.

PubMed

Maldonado, Ramon; Goodwin, Travis R; Harabagiu, Sanda M

2018-01-01

The automatic identification of relations between medical concepts in a large corpus of Electroencephalography (EEG) reports is an important step in the development of an EEG-specific patient cohort retrieval system as well as in the acquisition of EEG-specific knowledge from this corpus. EEG-specific relations involve medical concepts that are not typically mentioned in the same sentence or even the same section of a report, thus requiring extraction techniques that can handle such long-distance dependencies. To address this challenge, we present a novel frame work which combines the advantages of a deep learning framework employing Dynamic Relational Memory (DRM) with active learning. While DRM enables the prediction of long-distance relations, active learning provides a mechanism for accurately identifying relations with minimal training data, obtaining an 5-fold cross validationF1 score of 0.7475 on a set of 140 EEG reports selected with active learning. The results obtained with our novel framework show great promise.

Estimating learning outcomes from pre- and posttest student self-assessments: a longitudinal study.

PubMed

Schiekirka, Sarah; Reinhardt, Deborah; Beißbarth, Tim; Anders, Sven; Pukrop, Tobias; Raupach, Tobias

2013-03-01

Learning outcome is an important measure for overall teaching quality and should be addressed by comprehensive evaluation tools. The authors evaluated the validity of a novel evaluation tool based on student self-assessments, which may help identify specific strengths and weaknesses of a particular course. In 2011, the authors asked 145 fourth-year students at Göttingen Medical School to self-assess their knowledge on 33 specific learning objectives in a pretest and posttest as part of a cardiorespiratory module. The authors compared performance gain calculated from self-assessments with performance gain derived from formative examinations that were closely matched to these 33 learning objectives. Eighty-three students (57.2%) completed the assessment. There was good agreement between performance gain derived from subjective data and performance gain derived from objective examinations (Pearson r=0.78; P<.0001) on the group level. The association between the two measures was much weaker when data were analyzed on the individual level. Further analysis determined a quality cutoff for performance gain derived from aggregated student self-assessments. When using this cutoff, the evaluation tool was highly sensitive in identifying specific learning objectives with favorable or suboptimal objective performance gains. The tool is easy to implement, takes initial performance levels into account, and does not require extensive pre-post testing. By providing valid estimates of actual performance gain obtained during a teaching module, it may assist medical teachers in identifying strengths and weaknesses of a particular course on the level of specific learning objectives.

The Use of Neuro-Linguistic Programming Model for Learning Success.

ERIC Educational Resources Information Center

Woerner, Janet J.; Stonehouse, Harold B.

1988-01-01

This model is useful in identifying specific learning problems and in providing techniques for the teacher to motivate and teach students at all levels. What it is and how it can be used are discussed, illustrated by specific strategies for geometry and science. (MNS)

Identifying Specific Learning Disabilities: Legislation, Regulation, and Court Decisions

ERIC Educational Resources Information Center

Zumeta, Rebecca O.; Zirkel, Perry A.; Danielson, Louis

2014-01-01

Specific learning disability (SLD) identification and eligibility practices are evolving and sometimes contentious. This article describes the historical context and current status of the SLD definition, legislation, regulation, and case law related to the identification of students eligible for special education services. The first part traces…

Developing Teachers as the Learning Profession: Findings from the State of Educators' Professional Learning in Canada Study

ERIC Educational Resources Information Center

Campbell, Carol; Osmond-Johnson, Pamela; Faubert, Brenton

2016-01-01

Teachers' professional development and learning is of high interest in educational reform internationally. We present findings from the "State of Educators' Professional Learning in Canada" study. We identify ten features proposed for effective professional learning: evidence-informed subject specific and pedagogical content knowledge a…

Dimensional Integration of Assessment Outcomes with Intervention Services for Children with Specific Learning Disabilities

ERIC Educational Resources Information Center

Decker, Scott

2012-01-01

This article reviews critical issues with integrating different procedures for identifying children with specific learning disabilities permitted in the federal regulations of the 2004 Individual With Disabilities Education Act 2004. Theoretical differences between behavioral approaches that focus on recording behavioral responses based on…

Defining the Undefinable: Operationalization of Methods to Identify Specific Learning Disabilities among Practicing School Psychologists

ERIC Educational Resources Information Center

Cottrell, Joseph M.; Barrett, Courtenay A.

2016-01-01

Accurate and consistent identification of students with specific learning disabilities (SLDs) is crucial; however, state and district guidelines regarding identification methods lack operationalization and are inconsistent throughout the United States. In the current study, the authors surveyed 471 school psychologists about "school" SLD…

CARE: Creating Augmented Reality in Education

ERIC Educational Resources Information Center

Latif, Farzana

2012-01-01

This paper explores how Augmented Reality using mobile phones can enhance teaching and learning in education. It specifically examines its application in two cases, where it is identified that the agility of mobile devices and the ability to overlay context specific resources offers opportunities to enhance learning that would not otherwise exist.…

Going off Script: Structure and Agency in Individualized Education Program Meetings

ERIC Educational Resources Information Center

Bray, Laura E.; Russell, Jennifer Lin

2016-01-01

In this comparative case study, we draw from neoinstitutional and structuration theory to examine the individualized education program (IEP) meetings for five high school students identified with specific learning disabilities. Specifically, we examine how participants interacted during the IEP meetings and how learning, instruction, and…

Legal Issues in Experiential Education. PANEL Resource Paper #3.

ERIC Educational Resources Information Center

Goldstein, Michael B.

Legal issues relevant to experiential learning are identified to help program administrators know when to seek expert assistance and advice. Much of the law of experiential learning is based on specific statutory provisions and decisions. The student involved in experiential learning may assume certain learning outcomes very different from those…

Learning Together and Working Apart: Routines for Organizational Learning in Virtual Teams

ERIC Educational Resources Information Center

Dixon, Nancy

2017-01-01

Purpose: Research suggests that teaming routines facilitate learning in teams. This paper identifies and details how specific teaming routines, implemented in a virtual team, support its continual learning. The study's focus was to generate authentic and descriptive accounts of the interviewees' experiences with virtual teaming routines.…

Tracking the fear memory engram: discrete populations of neurons within amygdala, hypothalamus, and lateral septum are specifically activated by auditory fear conditioning

PubMed Central

Wilson, Yvette M.; Gunnersen, Jenny M.; Murphy, Mark

2015-01-01

Memory formation is thought to occur via enhanced synaptic connectivity between populations of neurons in the brain. However, it has been difficult to localize and identify the neurons that are directly involved in the formation of any specific memory. We have previously used fos-tau-lacZ (FTL) transgenic mice to identify discrete populations of neurons in amygdala and hypothalamus, which were specifically activated by fear conditioning to a context. Here we have examined neuronal activation due to fear conditioning to a more specific auditory cue. Discrete populations of learning-specific neurons were identified in only a small number of locations in the brain, including those previously found to be activated in amygdala and hypothalamus by context fear conditioning. These populations, each containing only a relatively small number of neurons, may be directly involved in fear learning and memory. PMID:26179231

Using the Contextual Model of Learning to Understand Visitor Learning from a Science Center Exhibition

ERIC Educational Resources Information Center

Falk, John; Storksdieck, Martin

2005-01-01

Falk and Dierking's Contextual Model of Learning was used as a theoretical construct for investigating learning within a free-choice setting. A review of previous research identified key variables fundamental to free-choice science learning. The study sought to answer two questions: (1) How do specific independent variables individually contribute…

Pieces of the Learning Puzzle: Aligned Goals Shape Learning for One and All

ERIC Educational Resources Information Center

Crow, Tracy

2015-01-01

Educators are demanding learning specific to their needs, and there are more options than ever for school systems to personalize learning. Sometimes these personalized learning options go hand-in-hand with teacher effectiveness systems that districts use to identify areas for educator growth. At the same time, schools and teams set collective…

The Challenge of Evaluating Action Learning

ERIC Educational Resources Information Center

Edmonstone, John

2015-01-01

The paper examines the benefits claimed for action learning at individual, organisational and inter-organisational levels. It goes on to identify both generic difficulties in evaluating development programmes and action learning specifically. The distinction between formative and summative evaluation is considered and a summative evaluation…

Training School Psychologists to Identify Specific Learning Disabilities: A Content Analysis of Syllabi

ERIC Educational Resources Information Center

Barrett, Courtenay A.; Cottrell, Joseph M.; Newman, Daniel S.; Pierce, Benjamin G.; Anderson, Alisha

2015-01-01

Approximately 2.4 million children receive special education services for specific learning disabilities (SLDs), and school psychologists are key contributors to the SLD eligibility decision-making process. The Individuals with Disabilities Education Act (2004) enabled local education agencies to use response to intervention (RTI) instead of the…

Leadership for Learning: Lessons from 40 Years of Empirical Research

ERIC Educational Resources Information Center

Hallinger, Philip

2011-01-01

Purpose: This paper aims to present a research-based model of leadership for learning. It argues that the field has made substantial progress over the past 40 years in identifying ways in which leadership contributes to learning and school improvement. Four specific dimensions of leading for learning are presented: values and beliefs, leadership…

Gender differences in developmental dyscalculia depend on diagnostic criteria.

PubMed

Devine, Amy; Soltész, Fruzsina; Nobes, Alison; Goswami, Usha; Szűcs, Dénes

2013-10-01

Developmental dyscalculia (DD) is a learning difficulty specific to mathematics learning. The prevalence of DD may be equivalent to that of dyslexia, posing an important challenge for effective educational provision. Nevertheless, there is no agreed definition of DD and there are controversies surrounding cutoff decisions, specificity and gender differences. In the current study, 1004 British primary school children completed mathematics and reading assessments. The prevalence of DD and gender ratio were estimated in this sample using different criteria. When using absolute thresholds, the prevalence of DD was the same for both genders regardless of the cutoff criteria applied, however gender differences emerged when using a mathematics-reading discrepancy definition. Correlations between mathematics performance and the control measures selected to identify a specific learning difficulty affect both prevalence estimates and whether a gender difference is in fact identified. Educational implications are discussed.

Learning by Doing: Concepts and Models for Service-Learning in Accounting. AAHE's Series on Service-Learning in the Disciplines.

ERIC Educational Resources Information Center

Rama, D. V., Ed.

This volume is part of a series of 18 monographs on service learning and the academic disciplines. It is designed to (1) develop a theoretical framework for service learning in accounting consistent with the goals identified by accounting educators and the recent efforts toward curriculum reform, and (2) describe specific active learning…

Successful Web Learning Environments: New Design Guidelines.

ERIC Educational Resources Information Center

Martinez, Margaret

The Web offers the perfect technology and environment for precision learning because learners can be uniquely identified, relevant content can be specifically personalized, and subsequent response and progress can be monitored, supported, and assessed. Technologically, researchers are making rapid progress realizing the personalized learning dream…

Screening and Diagnostic Procedure for Identification of Adult Learning Problems. 309 Demonstration Project.

ERIC Educational Resources Information Center

International Labour Office, Islamabad (Pakistan). Asian and Pacific Skill Development Programme.

This screening and diagnostic procedure is intended to identify Level 1 adults with specific learning problems. The adults not meeting criteria on the assessments for visual and auditory functions should be referred to proper medical services for full evaluations. A prescriptive teaching program should be specifically designed to meet needs of…

The Legal Meaning of Specific Learning Disability for IDEA Eligibility: The Latest Case Law

ERIC Educational Resources Information Center

Zirkel, Perry A.

2013-01-01

Specific learning disability (SLD), although moderately declining in recent years, continues to be the largest of the eligibility classifications under the Individuals with Disabilities Education Act (IDEA; NCES, 2012). The recognition of response to intervention (RTI) in the 2004 amendments of the IDEA as an approach for identifying students with…

Effect of Neuroscience-Based Cognitive Skill Training on Growth of Cognitive Deficits Associated with Learning Disabilities in Children Grades 2-4

ERIC Educational Resources Information Center

Avtzon, Sarah Abitbol

2012-01-01

Working memory, executive functions, and cognitive processes associated with specific academic areas, are empirically identified as being the core underlying cognitive deficits in students with specific learning disabilities. Using Hebb's theory of neuroplasticity and the principle of automaticity as theoretical bases, this experimental study…

Evaluation of the Technical Adequacy of Three Methods for Identifying Specific Learning Disabilities Based on Cognitive Discrepancies

ERIC Educational Resources Information Center

Stuebing, Karla K.; Fletcher, Jack M.; Branum-Martin, Lee; Francis, David J.

2012-01-01

This study used simulation techniques to evaluate the technical adequacy of three methods for the identification of specific learning disabilities via patterns of strengths and weaknesses in cognitive processing. Latent and observed data were generated and the decision-making process of each method was applied to assess concordance in…

Classification Agreement Analysis of Cross-Battery Assessment in the Identification of Specific Learning Disorders in Children and Youth

ERIC Educational Resources Information Center

Kranzler, John H.; Floyd, Randy G.; Benson, Nicholas; Zaboski, Brian; Thibodaux, Lia

2016-01-01

The Cross-Battery Assessment (XBA) approach to identifying a specific learning disorder (SLD) is based on the postulate that deficits in cognitive abilities in the presence of otherwise average general intelligence are causally related to academic achievement weaknesses. To examine this postulate, we conducted a classification agreement analysis…

Response to Intervention for Specific Learning Disabilities Identification: The Impact of Graduate Preparation and Experience on Identification Consistency

ERIC Educational Resources Information Center

Maki, Kathrin E.

2018-01-01

Response to intervention (RTI) is increasingly being implemented in schools as a means to identify students with specific learning disabilities (SLD). Despite its wide use, there is limited research regarding school psychologists' graduate preparation in and familiarity with RTI for SLD identification. This study examined how school psychologists'…

Educators Adopting M-Learning: Is It Sustainable in Higher Education?

ERIC Educational Resources Information Center

Sanderson, Nicole; Hanbidge, Alice Schmidt

2017-01-01

Effectively integrating m-learning into higher education necessitates consideration for both student and educator adoption factors. Data collected from 309 Canadian university participants in a Mobile Information Literacy (MIL) research study identified specific student m-learning adoption factors and substantiated those in the literature (Navarro…

Authentic early experience in Medical Education: a socio-cultural analysis identifying important variables in learning interactions within workplaces.

PubMed

Yardley, Sarah; Brosnan, Caragh; Richardson, Jane; Hays, Richard

2013-12-01

This paper addresses the question 'what are the variables influencing social interactions and learning during Authentic Early Experience (AEE)?' AEE is a complex educational intervention for new medical students. Following critique of the existing literature, multiple qualitative methods were used to create a study framework conceptually orientated to a socio-cultural perspective. Study participants were recruited from three groups at one UK medical school: students, workplace supervisors, and medical school faculty. A series of intersecting spectra identified in the data describe dyadic variables that make explicit the parameters within which social interactions are conducted in this setting. Four of the spectra describe social processes related to being in workplaces and developing the ability to manage interactions during authentic early experiences. These are: (1) legitimacy expressed through invited participation or exclusion; (2) finding a role-a spectrum from student identity to doctor mindset; (3) personal perspectives and discomfort in transition from lay to medical; and, (4) taking responsibility for 'risk'-moving from aversion to management through graded progression of responsibility. Four further spectra describe educational consequences of social interactions. These spectra identify how the reality of learning is shaped through social interactions and are (1) generic-specific objectives, (2) parallel-integrated-learning, (3) context specific-transferable learning and (4) performing or simulating-reality. Attention to these variables is important if educators are to maximise constructive learning from AEE. Application of each of the spectra could assist workplace supervisors to maximise the positive learning potential of specific workplaces.

Learning Characteristics of Small Business Managers: Principles for Training

ERIC Educational Resources Information Center

Jeffrey, Lynn M.; Hide, Sophie; Legg, Stephen

2010-01-01

Purpose: This paper aims to report on the second half of a two-part study that identified relevant content for safety audit training in small businesses. The specific aim of the paper is to determine the preferred learning styles and approaches of managers in these businesses in order to identify some principles which could be used to tailor…

Doing Dissections Differently: A Structured, Peer-Assisted Learning Approach to Maximizing Learning in Dissections

ERIC Educational Resources Information Center

Hall, Emma R.; Davis, Rachel C.; Weller, Renate; Powney, Sonya; Williams, Sarah B.

2013-01-01

Areas of difficulty faced by our veterinary medicine students, with respect to their learning in dissection classes, were identified. These challenges were both general adult-learning related and specific to the discipline of anatomy. Our aim was to design, implement, and evaluate a modified reciprocal peer-assisted/team-based learning…

Service Learning: Opportunities for Legal Studies in Business

ERIC Educational Resources Information Center

Burke, Debra D.

2007-01-01

Service learning is a form of experiential learning designed to engage students, faculty, and community partners in a mutually beneficial experience. Specifically, it "is a credit-bearing, educational experience in which students participate in an organized service activity that meets identified community needs and reflects on the service activity…

Exploring Culture-Specific Learning Styles in Accounting Education

ERIC Educational Resources Information Center

Sikkema, Seth E.; Sauerwein, Joshua A.

2015-01-01

Purpose: The purpose of this paper is to review whether culture affects accounting students' learning processes to identify practical guidance for accounting educators facing a culturally diverse classroom. In spite of a significant literature thread in accounting education on student learning, relatively, little emphasis has been placed on…

Tracking the fear memory engram: discrete populations of neurons within amygdala, hypothalamus, and lateral septum are specifically activated by auditory fear conditioning.

PubMed

Butler, Christopher W; Wilson, Yvette M; Gunnersen, Jenny M; Murphy, Mark

2015-08-01

Memory formation is thought to occur via enhanced synaptic connectivity between populations of neurons in the brain. However, it has been difficult to localize and identify the neurons that are directly involved in the formation of any specific memory. We have previously used fos-tau-lacZ (FTL) transgenic mice to identify discrete populations of neurons in amygdala and hypothalamus, which were specifically activated by fear conditioning to a context. Here we have examined neuronal activation due to fear conditioning to a more specific auditory cue. Discrete populations of learning-specific neurons were identified in only a small number of locations in the brain, including those previously found to be activated in amygdala and hypothalamus by context fear conditioning. These populations, each containing only a relatively small number of neurons, may be directly involved in fear learning and memory. © 2015 Butler et al.; Published by Cold Spring Harbor Laboratory Press.

Gender differences in developmental dyscalculia depend on diagnostic criteria

PubMed Central

Devine, Amy; Soltész, Fruzsina; Nobes, Alison; Goswami, Usha; Szűcs, Dénes

2013-01-01

Developmental dyscalculia (DD) is a learning difficulty specific to mathematics learning. The prevalence of DD may be equivalent to that of dyslexia, posing an important challenge for effective educational provision. Nevertheless, there is no agreed definition of DD and there are controversies surrounding cutoff decisions, specificity and gender differences. In the current study, 1004 British primary school children completed mathematics and reading assessments. The prevalence of DD and gender ratio were estimated in this sample using different criteria. When using absolute thresholds, the prevalence of DD was the same for both genders regardless of the cutoff criteria applied, however gender differences emerged when using a mathematics-reading discrepancy definition. Correlations between mathematics performance and the control measures selected to identify a specific learning difficulty affect both prevalence estimates and whether a gender difference is in fact identified. Educational implications are discussed. PMID:27667904

Succeeding against the Odds: Observations on Coping by Three Intellectually Very Able University Students with Specific Learning Difficulties in Hong Kong

ERIC Educational Resources Information Center

Lo, Cecilia C.; Yuen, Mantak

2017-01-01

This small-scale exploratory study identified strategies used by three intellectually very able university students with specific learning difficulties for maintaining motivation on their path to achievement. All three participants were located in Hong Kong. The research questions were: (a) What coping strategies are used by intellectually very…

Differentiating Second Language Acquisition from Specific Learning Disability: An Observational Tool Assessing Dual Language Learners' Pragmatic Competence

ERIC Educational Resources Information Center

Farnsworth, Megan

2018-01-01

Overrepresentation of Dual Language Learners (DLLs) in special education remains a problem even after 40 years of inquiry. One factor is that the U.S. federal government has neither clearly explained the definition of Specific Learning Disability (SLD) nor operationally defined it to identify children for special education services. This lack of…

Construct and Predictive Validity of the Core Phonics Survey: A Diagnostic Assessment for Students with Specific Learning Disabilities

ERIC Educational Resources Information Center

Park, Yujeong; Benedict, Amber E.; Brownell, Mary T.

2014-01-01

The factor structure of the CORE Phonics Survey was analyzed using a sample of 165 students in upper elementary school with specific learning disabilities. Confirmatory factor analysis was used to identify the hypothesized constructs of the CORE Phonics Survey and predictive validity of the CORE Phonics Survey to predict students' success in word…

Beyond "Brown": Empirical Research on Diverse Learners with or At-Risk for Specific Learning Disabilities from 1994-2012

ERIC Educational Resources Information Center

Trent, Stanley C.; Drivers, Melissa; Rodriguez, Diane; Oh, Kevin; Stewart, Shavon; Kea, Cathy; Artiles, Alfredo; Hull, Michael

2014-01-01

We conducted a literature review to determine the presence of culturally and linguistically diverse (CLD) learners in research on specific learning disabilities (SLD) from 1994-2012. We believed that disaggregation of results by category might identify nuances that will guide future policies, research, and practice. We deemed it logical to begin…

Learning Styles Inequity for Small to Micro Firms (SMFs): Social Exclusion through Work-Based E-Learning Practice in Europe

ERIC Educational Resources Information Center

Hardaker, Glenn; Dockery, Richard; Sabki, Aishah

2007-01-01

Purpose: The elearn2work study of learning styles in the context of small to micro firms' (SMFs) and their perceived satisfaction has identified some important finding specific to e-learning content design, delivery and international standards development. Design/methodology/approach: The method of research adopts a deductive rather than an…

Unequal Chances to Participate in Adult Learning: International Perspectives. Fundamentals of Educational Planning 83

ERIC Educational Resources Information Center

Desjardins, Richard; Rubenson, Kjell; Milana, Marcella

2006-01-01

The purpose of this booklet is to document cross-national patterns of adult learning, and in particular the unequal chances to participate in adult learning. In so doing, an effort is made to identify important motivating factors for participating in adult learning. The specific objectives of the booklet are to: (1) make available the…

Prevalence and Patterns of Learning Disabilities in School Children.

PubMed

Padhy, Susanta Kumar; Goel, Sonu; Das, Shyam Sinder; Sarkar, Siddharth; Sharma, Vijaylaxmi; Panigrahi, Mahima

2016-04-01

To assess the prevalence and patterns of learning disabilities (LD) in school going children in a northern city of India. The present cross-sectional study comprised of three-staged screening procedure for assessing learning disabilities of 3rd and 4th grade students studying in government schools. The first stage comprised of the teacher identifying at-risk student. In the second stage, teachers assessed at-risk students using Specific Learning Disability-Screening Questionnaire (SLD-SQ). The third stage comprised of assessment of the screen positive students using Brigance Diagnostic Inventory (BDI) part of NIMHANS Index of Specific Learning Disabilities for identifying the cases of LD. A total of 1211 (33.6%) children out of the total screened (n = 3600) were identified as at-risk by the teachers at the first stage. Of them, 360 were found to screen positive on the second stage using SLD-SQ. The most common deficits were missing out words or sentences while reading, misplacing letters or words while reading or writing, and making frequent mistake in spelling while writing or reading. Of these, 108 children were confirmed to have learning disability on the third stage using BDI, which represented 3.08% of the total population. Learning disability is an important concern in young school aged children. Early identification of such students can help in early institution of intervention and suitable modifications in teaching techniques.

Characteristic behaviors of students with LD who have teacher-identified math weaknesses.

PubMed

Bryant, D P; Bryant, B R; Hammill, D D

2000-01-01

Mathematics learning disabilities (LD) have gained increased attention over the last decade from both researchers and practitioners. A large percentage of students receiving learning disability services experience difficulties with mathematics, but little research has examined the specific mathematics behaviors of students with LD who have teacher-identified math weaknesses. This study examines the literature on mathematics LD and identifies specific behaviors from that body of research for the purpose of determining the extent to which those behaviors are observed in students with LD. Data are presented from observations of 391 special education professionals on 1724 students with LD, 870 of whom had identified math weaknesses and 854 of whom did not. Our results validate the existing literature and provide implications for teachers, researchers, and others interested in studying mathematics LD.

Reconsidering Learning Difficulties and Misconceptions in Chemistry: Emergence in Chemistry and Its Implications for Chemical Education

ERIC Educational Resources Information Center

Tümay, Halil

2016-01-01

Identifying students' misconceptions and learning difficulties and finding effective ways of addressing them has been one of the major concerns in chemistry education. However, the chemistry education community has paid little attention to determining discipline-specific aspects of chemistry that can lead to learning difficulties and…

Green School Grounds as Sites for Outdoor Learning: Barriers and Opportunities

ERIC Educational Resources Information Center

Dyment, Janet E.

2005-01-01

In their review of evidence-based research entitled "A Review of Research on Outdoor Learning," Rickinson "et al." (2004) identify five key constraints that limit the amount of outdoor learning. This paper explores whether green school grounds might be a location where these constraints could be minimised. Specifically, it…

The Culture of Learning Continuum: Promoting Internal Values in Higher Education

ERIC Educational Resources Information Center

Sagy, Ornit; Kali, Yael; Tsaushu, Masha; Tal, Tali

2018-01-01

This study endeavors to identify ways to promote a productive learning culture in higher education. Specifically, we sought to encourage development of internal values in students' culture of learning and examine how this can promote their understanding of scientific content. Set in a high enrollment undergraduate biology course, we designed a…

Where Are We Now? Learning Progressions and Formative Assessment

ERIC Educational Resources Information Center

Gotwals, Amelia Wenk

2018-01-01

In this commentary, I consider the three empirical studies in this special issue based on two main aspects: (a) the nature of the learning progressions and (b) what formative assessment practice(s) were investigated. Specifically, I describe differences among the learning progressions in terms of scope and grain size. I also identify three…

The Luria-Nebraska Neuropsychological Battery and the WAIS-R in Assessment of Adults with Specific Learning Disabilities.

ERIC Educational Resources Information Center

Katz, Lynda; Goldstein, Gerald

1993-01-01

Compared intellectual (Wechsler Adult Intelligence Scale for Adults-Revised) and neuropsychological (Luria-Nebraska Neuropsychological Battery) assessment as valid methods of identifying learning disabilities in adults. Findings from 155 subjects revealed that both instruments were able to distinguish adults with and without learning disabilities.…

Foreign Language Classroom Anxiety.

ERIC Educational Resources Information Center

Horwitz, Elaine K.; And Others

1986-01-01

Identifies foreign language anxiety as a conceptually distinct variable in foreign language learning and interprets it with the context of existing theoretical and empirical work on specific anxiety reactions. Discusses the effects of this anxiety on language learning and its pedagogical implications. (SED)

Using Discrete Trial Training to Identify Specific Learning Impairments in Boys with Fragile X Syndrome

ERIC Educational Resources Information Center

Hall, Scott S.; Hustyi, Kristin M.; Hammond, Jennifer L.; Hirt, Melissa; Reiss, Allan L.

2014-01-01

We examined whether "discrete trial training" (DTT) could be used to identify learning impairments in mathematical reasoning in boys with fragile X syndrome (FXS). Boys with FXS, aged 10-23 years, and age and IQ-matched controls, were trained to match fractions to pie-charts and pie-charts to decimals either on a computer or with a…

Students' perceptions of effective learning experiences in dental school: a qualitative study using a critical incident technique.

PubMed

Victoroff, Kristin Zakariasen; Hogan, Sarah

2006-02-01

Students' views of their educational experience can be an important source of information for curriculum assessment. Although quantitative methods, particularly surveys, are frequently used to gather such data, fewer studies have employed qualitative methods to examine students' dental education experiences. The purpose of this study is to explore characteristics of effective learning experiences in dental school using a qualitative method. All third-year (seventy) and fourth-year (seventy) dental students enrolled in one midwestern dental school were invited to participate. Fifty-three dental students (thirty-five male and eighteen female; thirty-two third-year and twenty-one fourth-year) were interviewed using a critical incident interview technique. Each student was asked to describe a specific, particularly effective learning incident that he or she had experienced in dental school and a specific, particularly ineffective learning incident, for comparison. Each interview was audiotaped. Students were assured that only the interviewer and one additional researcher would have access to the tapes. Data analysis resulted in identification of key themes in the data describing characteristics of effective learning experiences. The following characteristics of effective learning experiences were identified: 1) instructor characteristics (personal qualities, "checking-in" with students, and an interactive style); 2) characteristics of the learning process (focus on the "big picture," modeling and demonstrations, opportunities to apply new knowledge, high-quality feedback, focus, specificity and relevance, and peer interactions); and 3) learning environment (culture of the learning environment, technology). Common themes emerged across a wide variety of learning incidents. Although additional research is needed, the characteristics of effective learning experiences identified in this study may have implications for individual course design and for the dental school curriculum as a whole.

34 CFR 300.308 - Additional group members.

Code of Federal Regulations, 2010 CFR

2010-07-01

... CHILDREN WITH DISABILITIES Evaluations, Eligibility Determinations, Individualized Education Programs, and Educational Placements Additional Procedures for Identifying Children with Specific Learning Disabilities... learning disability is a child with a disability as defined in § 300.8, must be made by the child's parents...

A formative evaluation of problem-based learning as an instructional strategy in a medical laboratory technician course

NASA Astrophysics Data System (ADS)

Nelson, Diane Patricia

2002-09-01

This study is a formative evaluation of problem-based learning as an effective course delivery strategy in a second year introductory Medical Laboratory Technician discipline-specific hematology course. This strategy can serve two purposes in this type of course: discipline specific content knowledge and process skills learning. A needs study identified that students required additional workplace skills as they entered the clinical internship. Students tested well on the national registry examinations, discipline-specific content knowledge, but group process skills needed improvement in the areas of collaboration, communication, and critical reasoning. Problem-based learning was identified as an change intervention to help provide these skills. A search of the literature revealed that the Baker College cultural and physical environment would support this intervention. Twelve cases were written, situated in a clinical laboratory environment, addressing learning issues identified in a modified Delphi survey of laboratory personnel e.g. fiscal responsibility, turn-around time, invasiveness of laboratory techniques, and holistic view of healthcare environment. A hematology class of 13 students received the intervention. The cases were structured to proceed from instructor-centered (guided) learning issues to learner-centered learning issues. Observations of the in-group collaboration processes were documented, as well as oral presentations and critical reasoning, with students given periodic feedback on these skills. Student surveys provided data about satisfaction, attitude to PBL process, and self-efficacy. Multiple choice discipline-specific content examinations were given and compared with classes from the previous four years. The study found that students receiving the PBL treatment scored as well as or better than students from previous years on traditional multiple choice exams. Recall questions showed positive significance and application/analysis questions showed no significance from previous years. Clinical correlations end-of-case evaluations addressing the issues of thoroughness of investigation, supporting evidence, accuracy of information, order and clarity of thought showed positive improvement across the intervention, as did the PBL processes of in-group collaboration skills, teamwork skills, and presentation skills. By the end of the intervention, students expressed preference for student-centered learning issues.

Functioning at the Edge of Knowledge: A Study of Learning Processes in New Product Development

ERIC Educational Resources Information Center

Doos, Marianne; Wilhelmson, Lena; Backlund, Thomas; Dixon, Nancy

2005-01-01

Purpose: In the telecommunication industry, companies gain a competitive edge through the competence of their employees, making issues of learning critical. The study aims to identify specific learning processes necessary when working at the edge both of one's own knowledge and of that of the branch. Design/methodology/approach: This research…

Structure and Strategies in Children's Educational Television: The Roles of Program Type and Learning Strategies in Children's Learning

ERIC Educational Resources Information Center

Linebarger, Deborah L.; Piotrowski, Jessica Taylor

2010-01-01

Educational TV has been consistently linked to children's learning. In this research, educational TV characteristics were identified, coded, and tested for their influence on children's program-specific comprehension and vocabulary outcomes. Study 1 details a content analysis of TV features including a program's macrostructure (i.e., narrative or…

MMOGs as Learning Environments: An Ecological Journey into "Quest Atlantis" and "The Sims Online"

ERIC Educational Resources Information Center

Young, Michael; Schrader, P. G.; Zheng, Dongping

2006-01-01

Michael Young, P. G. Schrader, and Dongping Zheng use the concepts of ecological psychology to examine how massively multiplayer online games (MMOGs) promote specific learning processes in their players. In their analysis they identify and define nine principles of learning that allow such games to have valuable potential as tools for educators:…

Evaluation of a Mobile Learning Organiser for University Students

ERIC Educational Resources Information Center

Corlett, Dan; Sharples, Mike; Bull, Susan; Chan, Tony

2005-01-01

This paper describes a 10-month trial of a mobile learning organiser, developed for use by university students. Implemented on a wireless-enabled Pocket PC hand-held computer, the organiser makes use of existing mobile applications as well as tools designed specifically for students to manage their learning. The trial set out to identify the…

Autonomous Pluralistic Learning Strategies among Mexican Indigenous and Minority University Students Learning English

ERIC Educational Resources Information Center

Despagne, Colette

2015-01-01

This critical ethnographic case study draws on Indigenous and minority students' process of learning English as a Foreign Language (EFL) in Mexico. The study specifically focuses on students who enrolled in a program called "A Wager with the Future." The aim of the study is to identify and understand contributing factors in these…

Using Biology Education Research and Qualitative Inquiry to Inform Genomic Nursing Education.

PubMed

Ward, Linda D

Decades of research in biology education show that learning genetics is difficult and reveals specific sources of learning difficulty. Little is known about how nursing students learn in this domain, although they likely encounter similar difficulties as nonnursing students. Using qualitative approaches, this study investigated challenges to learning genetics among nursing students. Findings indicate that nursing students face learning difficulties already identified among biology students, suggesting that nurse educators might benefit from biology education research.

Contribution of Race, Primary Language, Family Structure and Pre-Kindergarten Attendance to the Odds of Being Classified as Having a Specific Learning Disability by the Third Grade

ERIC Educational Resources Information Center

Roring, Catherine Mary

2013-01-01

Many risk factors have been identified for children entering Kindergarten. Many at-risk children eventually get classified as having a Specific Learning disability. Some of these risk factors include having a primary home language other than English (Hosp & Reschly, 2004), having non-intact families (Pong, 1997), being of minority status…

Teacher Perceptions of Response to Intervention Implementation in Light of IDEA Goals

ERIC Educational Resources Information Center

Jenkins, J. Kevin; Sekayi, Dia

2016-01-01

Traditionally, school systems have identified students with specific learning disabilities (SLD) by a measured gap between achievement and ability in a specific area. Recent amendments to the IDEA allowed for the use of alternative methods of identifying students with a SLD. Some states have responded by using Response to Intervention (RTI). This…

Processes and Challenges in Identifying Learning Disabilities among Students Who Are English Language Learners in Three New York State Districts. Issues & Answers. REL 2010-No. 085

ERIC Educational Resources Information Center

Sanchez, Maria Teresa; Parker, Caroline; Akbayin, Bercem; McTigue, Anna

2010-01-01

Using interviews with district and school personnel and documents from state and district web sites in three districts in New York State, the study examines practices for identifying learning disabilities among students who are English language learners and the challenges that arise. Specifically, two research questions guided the project: (1)…

Ombudsman for a day: a job rotation opportunity at the University Health Network.

PubMed

Rogers, Sharon; Bakas, Vasiliki

2007-01-01

When staff at a major Canadian teaching hospital were asked what they found meaningful and important in the working environment, they responded by identifying four specific areas: recognition, communication, workload management and learning environment. One area that was identified as a particularly good example of a successful "learning environment" strategy was the opportunity to participate in a job rotation in a department other than their own.

In-situ trainable intrusion detection system

DOE Office of Scientific and Technical Information (OSTI.GOV)

Symons, Christopher T.; Beaver, Justin M.; Gillen, Rob

A computer implemented method detects intrusions using a computer by analyzing network traffic. The method includes a semi-supervised learning module connected to a network node. The learning module uses labeled and unlabeled data to train a semi-supervised machine learning sensor. The method records events that include a feature set made up of unauthorized intrusions and benign computer requests. The method identifies at least some of the benign computer requests that occur during the recording of the events while treating the remainder of the data as unlabeled. The method trains the semi-supervised learning module at the network node in-situ, such thatmore » the semi-supervised learning modules may identify malicious traffic without relying on specific rules, signatures, or anomaly detection.« less

Moving Evolution Education Forward: A Systematic Analysis of Literature to Identify Gaps in Collective Knowledge for Teaching

ERIC Educational Resources Information Center

Ziadie, M. A.; Andrews, T. C.

2018-01-01

Evolution is a unifying theory in biology and is challenging for undergraduates to learn. An instructor's ability to help students learn is influenced by pedagogical content knowledge (PCK), which is topic-specific knowledge of teaching and learning. Instructors need PCK for every topic they teach, which is a tremendous body of knowledge to…

An Independent Investigation of the Utility of the Learning Disability Screening Questionnaire (LDSQ) within a Community Learning Disability Team

ERIC Educational Resources Information Center

Stirk, Steven; Field, Bryony; Black, Jessica

2018-01-01

Background: The Learning Disability Screening Questionnaire (LDSQ) has been shown to have high sensitivity and specificity to identify those who are likely to meet intellectual disability diagnostic criteria (McKenzie, et al. [McKenzie K., 2015]). However, there is no independent research to date to support these findings. Materials and Methods:…

The Influence of the Openness of an E-Learning Situation on Adult Students' Self-Regulation

ERIC Educational Resources Information Center

Jezegou, Annie

2013-01-01

This article presents empirical research conducted with French speaking adults studying for a diploma. Their training took place mainly in e-learning. The goal of this research was to identify and explain the processes of influence existing between two specific dimensions: the degree of openness of the components of the e-learning situation and…

Leading Online: An Autoethnography Focused on Leading an Instructional Focus on Student Learning in an Online School

ERIC Educational Resources Information Center

Lancaster, Sally Ann

2012-01-01

The purpose in writing this autoethnography was to describe, analyze and interpret one leader's experience in leading a group of online teachers. I specifically wanted to identify the characteristics of an online learning environment that triggered teachers to focus on management issues rather than instructional learning issues; that is what…

Learning Disabilities: Current Policy and Directions for Community Involvement among the Arab Community in Israel

ERIC Educational Resources Information Center

Jabareen-Taha, Samaher; Taha, Haitham

2016-01-01

This article seeks to identify and review the basic characteristics of learning disability which are specifically mentioned in the literature. In addition, the article intends to conduct a brief analysis on learning disability policy in Israel and the differentiation problems at the level of awareness among the Arab society in Israel. Despite the…

The Spacing Effect and Metacognitive Control

ERIC Educational Resources Information Center

Mulligan, Neil W.; Peterson, Daniel J.

2014-01-01

Research suggests that spaced learning, compared with massed learning, results in superior long-term retention (the spacing effect). Son (2010) identified a potentially important moderator of the spacing effect: metacognitive control. Specifically, when participants chose massed restudy but were instead forced to space the restudy, the spacing…

Care, Communication, Learner Support: Designing Meaningful Online Collaborative Learning

ERIC Educational Resources Information Center

Robinson, Heather A.; Kilgore, Whitney; Warren, Scott J.

2017-01-01

The purpose of this study was to identify emergent themes regarding higher education instructors' perceptions concerning the provision of collaborative learning activities and opportunities in their online classroom. Through semi-structured interviews, instructors described their teaching experiences and reported specifically about the online…

Medical students’ perceptions and understanding of their specific learning difficulties

PubMed Central

Abbott, Stephen; Bevere, Grazia; Roberts, Christopher M.

2013-01-01

Objectives The purpose of this study is to explore how medical students with Specific Learning Difficulties perceive and understand their Specific Learning Difficulty and how it has impacted on their experience of medical training. Method A purposive sample of fifteen students from one medical school was interviewed. Framework Analysis was used to identify and organise themes emerging from the data. An interpretation of the data was made capturing the essence of what had been learned. The concept of ‘reframing’ was then used to re-analyse and organise the data. Results Students reported having found ways to cope with their Specific Leaning Difficulty in the past, some of which proved inadequate to deal with the pressures of medical school. Diagnosis was a mixed experience: many felt relieved to understand their difficulties better, but some feared discrimination. Practical support was available in university but not in placement. Students focused on the impact of their Specific Learning Difficulty on their ability to pass undergraduate exams. Most did not contemplate difficulties post-qualification. Conclusions The rigours of the undergraduate medical course may reveal undisclosed Specific Learning Difficulties. Students need help to cope with such challenges, psychologically and practically in both classroom and clinical practice. University services for students with Specific Learning Difficulties should become familiar with the challenges of clinical placements, and ensure that academic staff has access to information about the needs of these students and how these can be met.

Understanding the challenges to facilitating active learning in the resident conferences: a qualitative study of internal medicine faculty and resident perspectives.

PubMed

Sawatsky, Adam P; Zickmund, Susan L; Berlacher, Kathryn; Lesky, Dan; Granieri, Rosanne

2015-01-01

In the Next Accreditation System, the Accreditation Council for Graduate Medical Education outlines milestones for medical knowledge and requires regular didactic sessions in residency training. There are many challenges to facilitating active learning in resident conferences, and we need to better understand resident learning preferences and faculty perspectives on facilitating active learning. The goal of this study was to identify challenges to facilitating active learning in resident conferences, both through identifying specific implementation barriers and identifying differences in perspective between faculty and residents on effective teaching and learning strategies. The investigators invited core residency faculty to participate in focus groups. The investigators used a semistructured guide to facilitate discussion about learning preferences and teaching perspectives in the conference setting and used an 'editing approach' within a grounded theory framework to qualitative analysis to code the transcripts and analyze the results. Data were compared to previously collected data from seven resident focus groups. Three focus groups with 20 core faculty were conducted. We identified three domains pertaining to facilitating active learning in resident conferences: barriers to facilitating active learning formats, similarities and differences in faculty and resident learning preferences, and divergence between faculty and resident opinions about effective teaching strategies. Faculty identified several setting, faculty, and resident barriers to facilitating active learning in resident conferences. When compared to residents, faculty expressed similar learning preferences; the main differences were in motivations for conference attendance and type of content. Resident preferences and faculty perspectives differed on the amount of information appropriate for lecture and the role of active participation in resident conferences. This study highlights several challenges to facilitating active learning in resident conferences and provides insights for residency faculty who seek to transform the conference learning environment within their residency program.

Findings from a Clinical Learning Needs Survey at Ireland's first children's hospice.

PubMed

Quinn, Claire; Hillis, Rowan

2015-12-01

Caring for children with life-limiting conditions places exceptional demands on health professionals. Staff require the optimal skills and expertise necessary to provide the highest quality of care and to achieve this it is essential to understand their learning requirements. The aim is to share the main findings from a Clinical Learning Needs Survey conducted at LauraLynn, currently Ireland's only children's hospice. To date no other Irish service has conducted a formal identification of professional learning and development needs specific to the Irish context. The findings from the study assist workforce planning by providing a glimpse into the immediate study needs of staff working in a children's palliative care setting. The study had two main aims: a) Assist clinical staff within one organisation to identify their own professional learning priorities in children's palliative care and b) Inform the design and delivery of a responsive suite of workshops, programmes and study sessions for children's palliative care. The study identified the key learning needs as end-of-life care, palliative emergencies, communication skill development and bereavement support. These findings are similar to those found internationally and demonstrate the commitment of a new organisation to ensure that specific employee learning requirements are met if the organisation and wider specialty of Irish children's palliative care is to continue its evolution.

Vicarious Neural Processing of Outcomes during Observational Learning

PubMed Central

Monfardini, Elisabetta; Gazzola, Valeria; Boussaoud, Driss

2013-01-01

Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others’ incorrect outcomes during learning in the posterior medial frontal cortex (pMFC), the anterior insula and the posterior superior temporal sulcus (pSTS). PMID:24040104

Get up and Move!

ERIC Educational Resources Information Center

Spicer, Sally

2012-01-01

Assessing children's learning is a key part of teaching. In all curriculum areas it is used for informing planning of future learning experiences and assessing pupil progress. Specifically in science, it identifies knowledge and understanding of scientific concepts, reasoning, and practical skill development. There are various ways to assess,…

Getting Behind the Newspaper.

ERIC Educational Resources Information Center

Nebraska State Dept. of Education, Lincoln.

A number of learning center activities designed to help elementary school students learn to read a newspaper intelligently are presented in this guide. Specific activities deal with newspaper vocabulary, using an index, identifying the five "W's" in a news article, editorials, characteristics of various kinds of newspaper cartoons (advertising,…

77 FR 26265 - Applications for New Awards; Model Demonstration Projects on Reentry of Students With...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-03

... specific learning disabilities; and 9.7 percent with intellectual disabilities (Quinn et al., 2005). Each... are identified as having disabilities, most of whom have learning disabilities or emotional... Students With Disabilities From Juvenile Justice Facilities Into Education, Employment, and Community...

Adaptivity and Autonomy Development in a Learning Personalization Process

ERIC Educational Resources Information Center

Verpoorten, D.

2009-01-01

Within the iClass (Integrated Project 507922) and Enhanced Learning Experience and Knowledge Transfer (ELEKTRA; Specific Targeted Research or Innovation Project 027986) European projects, the author was requested to harness his pedagogical knowledge to the production of educational adaptive systems. The article identifies and documents the…

Clinical skills-related learning goals of senior medical students after performance feedback.

PubMed

Chang, Anna; Chou, Calvin L; Teherani, Arianne; Hauer, Karen E

2011-09-01

Lifelong learning is essential for doctors to maintain competence in clinical skills. With performance feedback, learners should be able to formulate specific and achievable learning goals in areas of need. We aimed to determine: (i) the type and specificity of medical student learning goals after a required clinical performance examination; (ii) differences in goal setting among low, average and high performers, and (iii) whether low performers articulate learning goals that are concordant with their learning needs. We conducted a single-site, multi-year, descriptive comparison study. Senior medical students were given performance benchmarks, individual feedback and guidelines on learning goals; each student was subsequently instructed to write two clinical skills learning goals. Investigators coded the learning goals for specificity, categorised the goals, and performed statistical analyses to determine their concordance with student performance level (low, average or high) in data gathering (history taking and physical examination) or communication skills. All 208 students each wrote two learning goals and most (n=200, 96%) wrote two specific learning goals. Nearly two-thirds of low performers in data gathering wrote at least one learning goal that referred to history taking or physical examination; one-third wrote learning goals pertaining to the organisation of the encounter. High performers in data gathering wrote significantly more patient education goals and significantly fewer history-taking goals than average or low performers. Only 50% of low performers in communication wrote learning goals related to communication skills. Low performers in communication were significantly more likely than average or high performers to identify learning goals related to improving performance in future examinations. The provision of performance benchmarking, individual feedback and brief written guidelines helped most senior medical students in our study to write specific clinical skills learning goals. Many low-performing students did not write learning goals concordant with their areas of weakness. Future work might focus on enhancing low performers' continued learning in areas of performance deficits. © Blackwell Publishing Ltd 2011.

Assessing the Impact of Lesson Study on the Teaching Practice of Middle School Science Teachers

NASA Astrophysics Data System (ADS)

Grove, Michael C.

Despite wave after wave of educational reform in the United States our students continue to lag behind their peers in other industrialized countries on virtually all measures of academic achievement. Effective professional development (PD) is seen as a key to improving instructional practice and therefore student learning, but traditional forms of PD have been wholly unsuccessful in changing teaching practice. Over the last two decades an emerging body of research has identified some key features of effective PD that seem to create meaningful change and improvement in instructional practice. Some of this research highlights the promise of adapting Japanese lesson study (LS) to the American context as a means of incrementally improving instruction. Much of the existing research around LS is descriptive in nature and offers little insight into if and how participation in LS impacts subsequent instructional practice. This study utilized case study methodology to examine the instructional practice of one group of four middle school science teachers before, during, and after participation in LS. The study attempted to identify specific learning outcomes of a LS process, to identify influences on teacher learning during LS, and to identify subsequent changes in the instructional practice of participants resulting from participation in LS. Key findings from the study include significant teacher learning derived from the LS process, the identification of influences that enhanced or inhibited teacher learning, and clear evidence that participants successfully integrated learning from the LS into subsequent instructional practice. Learning outcomes included deepening of subject matter knowledge, increased understanding of student thinking and abilities, clarity of expectations for student performance, recognition of the ineffectiveness of past instructional practice, specific instructional strategies, shared student learning goals, and an increased commitment to future development of student learning. Influences supporting teacher learning were trust and honest dialogue among participants, focused collaboration, examination of student work, and the opportunity to watch other teachers deliver instruction. Influences inhibiting teacher learning related to failure to adhere to key features of the LS protocol. The study offers initial evidence confirming the promise of LS as a model of effective PD.

Identifying Learning Patterns of Children at Risk for Specific Reading Disability

PubMed Central

Barbot, Baptiste; Krivulskaya, Suzanna; Hein, Sascha; Reich, Jodi; Thuma, Philip E.; Grigorenko, Elena L.

2016-01-01

Differences in learning patterns of vocabulary acquisition in children at risk (+SRD) and not at risk (SRD) for Specific Reading Disability (SRD) were examined using a microdevelopmental paradigm applied to the multi-trial Foreign Language Learning Task (FLLT; Baddeley et al., 1995). The FLLT was administered to 905 children from rural Chitonga-speaking Zambia. A multi-group Latent Growth Curve Model (LGCM) was implemented to study interindividual differences in intraindividual change across trials. Results showed that the +SRD group recalled fewer words correctly in the first trial, learned at a slower rate during the subsequent trials, and demonstrated a more linear learning pattern compared to the SRD group. This study illustrates the promise of LGCM applied to multi-trial learning tasks, by isolating three components of the learning process (initial recall, rate of learning, and functional pattern of learning). Implications of this microdevelopmental approach to SRD research in low-to-middle income countries are discussed. PMID:26037654

Identifying learning patterns of children at risk for Specific Reading Disability.

PubMed

Barbot, Baptiste; Krivulskaya, Suzanna; Hein, Sascha; Reich, Jodi; Thuma, Philip E; Grigorenko, Elena L

2016-05-01

Differences in learning patterns of vocabulary acquisition in children at risk (+SRD) and not at risk (-SRD) for Specific Reading Disability (SRD) were examined using a microdevelopmental paradigm applied to the multi-trial Foreign Language Learning Task (FLLT; Baddeley et al., 1995). The FLLT was administered to 905 children from rural Chitonga-speaking Zambia. A multi-group Latent Growth Curve Model (LGCM) was implemented to study interindividual differences in intraindividual change across trials. Results showed that the +SRD group recalled fewer words correctly in the first trial, learned at a slower rate during the subsequent trials, and demonstrated a more linear learning pattern compared to the -SRD group. This study illustrates the promise of LGCM applied to multi-trial learning tasks, by isolating three components of the learning process (initial recall, rate of learning, and functional pattern of learning). Implications of this microdevelopmental approach to SRD research in low-to-middle income countries are discussed. © 2015 John Wiley & Sons Ltd.

Specific Cognitive Predictors of Early Math Problem Solving

ERIC Educational Resources Information Center

Decker, Scott L.; Roberts, Alycia M.

2015-01-01

Development of early math skill depends on a prerequisite level of cognitive development. Identification of specific cognitive skills that are important for math development may not only inform instructional approaches but also inform assessment approaches to identifying children with specific learning problems in math. This study investigated the…

Ingredients of a Successful Summer Learning Program: A Case Study of the Building Educated Leaders for Life (BELL) Accelerated Learning Summer Program

ERIC Educational Resources Information Center

Capizzano, Jeffrey; Bischoff, Kendra; Woodroffe, Nicola; Chaplin, Duncan

2007-01-01

Based on positive results from a previous evaluation of a summer learning intervention, the current report describes the specific elements of the successful program so it can be replicated, and investigates potential barriers to implementation and replication. The study estimated impacts of the program overall; the authors could not identify which…

Instructional Technology and Learning Resource Center-Based Community Education.

ERIC Educational Resources Information Center

Brown, James W.

A survey of nonformal community education activities was conducted to determine specific use of media for identified educational and informational purposes. The results presented in this report are intended to provide resource information to professionals and paraprofessionals who ultimately may be employed in Learning Resource Center-Based…

Intersectional Computer-Supported Collaboration in Business Writing: Learning through Challenged Performance

ERIC Educational Resources Information Center

Remley, Dirk

2009-01-01

Carter (2007) identifies four meta-genres associated with writing activities that can help students learn discipline-specific writing skills relative to standards within a given field: these include problem solving, empirical approaches to analysis, selection of sources to use within research, and production of materials that meet accepted…

Identifying Key Components of Teaching and Learning in a STEM School

ERIC Educational Resources Information Center

Morrison, Judith; Roth McDuffie, Amy; French, Brian

2015-01-01

This study was conducted at an innovative science, technology, engineering, and mathematics high school, providing a rich contextual description of the teaching and learning at the school, specifically focusing on problem solving and inquiry approaches, and students' motivation, social interactions, and collaborative work. Data were collected…

Blended Delivery and Online Assessment: Scaffolding Student Reflections in Work-Integrated Learning

ERIC Educational Resources Information Center

Larkin, Ingrid; Beatson, Amanda

2014-01-01

This paper documents a teaching innovation addressing the challenges of embedding and assessing reflective practice in work-integrated learning, specifically marketing internships. We identify four issues relating to this problem: lack of knowledge or skill for reflection, limitations of physical journals, facilitation of different forms of…

STEM Learning in Afterschool: An Analysis of Impact and Outcomes

ERIC Educational Resources Information Center

Afterschool Alliance, 2011

2011-01-01

This document summarizes evaluation reports from afterschool science, technology, engineering and math (STEM) programs across the United States and identifies common trends and strengths that afterschool learning brings to STEM education. Like many programs nationwide, several of the programs highlighted in this paper were designed specifically to…

Psychological Perspectives in Assessing Mathematics Learning Needs

ERIC Educational Resources Information Center

Augustyniak, Kristine; Murphy, Jacqueline; Phillips, Donna Kester

2005-01-01

While the definition of learning disabilities has been the subject of controversy for decades, the current federal classification system identifies three specific areas of deficit: reading, written language, and mathematics and maintains the presumption that the disabilities are a result of a central nervous system dysfunction. In contrast to the…

Discipline-specific competency-based curricula for leadership learning in medical specialty training.

PubMed

Turner, Sandra; Chan, Ming-Ka; McKimm, Judy; Dickson, Graham; Shaw, Timothy

2018-05-08

Purpose Doctors play a central role in leading improvements to healthcare systems. Leadership knowledge and skills are not inherent, however, and need to be learned. General frameworks for medical leadership guide curriculum development in this area. Explicit discipline-linked competency sets and programmes provide context for learning and likely enhance specialty trainees' capability for leadership at all levels. The aim of this review was to summarise the scholarly literature available around medical specialty-specific competency-based curricula for leadership in the post-graduate training space. Design/methodology/approach A systematic literature search method was applied using the Medline, EMBASE and ERIC (education) online databases. Documents were reviewed for a complete match to the research question. Partial matches to the study topic were noted for comparison. Findings In this study, 39 articles were retrieved in full text for detailed examination, of which 32 did not comply with the full inclusion criteria. Seven articles defining discipline-linked competencies/curricula specific to medical leadership training were identified. These related to the areas of emergency medicine, general practice, maternal and child health, obstetrics and gynaecology, pathology, radiology and radiation oncology. Leadership interventions were critiqued in relation to key features of their design, development and content, with reference to modern leadership concepts. Practical implications There is limited discipline-specific guidance for the learning and teaching of leadership within medical specialty training programmes. The competency sets identified through this review may aid the development of learning interventions and tools for other medical disciplines. Originality/value The findings of this study provide a baseline for the further development, implementation and evaluation work required to embed leadership learning across all medical specialty training programmes.

Cognitive Clusters in Specific Learning Disorder.

PubMed

Poletti, Michele; Carretta, Elisa; Bonvicini, Laura; Giorgi-Rossi, Paolo

The heterogeneity among children with learning disabilities still represents a barrier and a challenge in their conceptualization. Although a dimensional approach has been gaining support, the categorical approach is still the most adopted, as in the recent fifth edition of the Diagnostic and Statistical Manual of Mental Disorders. The introduction of the single overarching diagnostic category of specific learning disorder (SLD) could underemphasize interindividual clinical differences regarding intracategory cognitive functioning and learning proficiency, according to current models of multiple cognitive deficits at the basis of neurodevelopmental disorders. The characterization of specific cognitive profiles associated with an already manifest SLD could help identify possible early cognitive markers of SLD risk and distinct trajectories of atypical cognitive development leading to SLD. In this perspective, we applied a cluster analysis to identify groups of children with a Diagnostic and Statistical Manual-based diagnosis of SLD with similar cognitive profiles and to describe the association between clusters and SLD subtypes. A sample of 205 children with a diagnosis of SLD were enrolled. Cluster analyses (agglomerative hierarchical and nonhierarchical iterative clustering technique) were used successively on 10 core subtests of the Wechsler Intelligence Scale for Children-Fourth Edition. The 4-cluster solution was adopted, and external validation found differences in terms of SLD subtype frequencies and learning proficiency among clusters. Clinical implications of these findings are discussed, tracing directions for further studies.

IDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platform.

PubMed

Hepler, N Lance; Scheffler, Konrad; Weaver, Steven; Murrell, Ben; Richman, Douglas D; Burton, Dennis R; Poignard, Pascal; Smith, Davey M; Kosakovsky Pond, Sergei L

2014-09-01

Since its identification in 1983, HIV-1 has been the focus of a research effort unprecedented in scope and difficulty, whose ultimate goals--a cure and a vaccine--remain elusive. One of the fundamental challenges in accomplishing these goals is the tremendous genetic variability of the virus, with some genes differing at as many as 40% of nucleotide positions among circulating strains. Because of this, the genetic bases of many viral phenotypes, most notably the susceptibility to neutralization by a particular antibody, are difficult to identify computationally. Drawing upon open-source general-purpose machine learning algorithms and libraries, we have developed a software package IDEPI (IDentify EPItopes) for learning genotype-to-phenotype predictive models from sequences with known phenotypes. IDEPI can apply learned models to classify sequences of unknown phenotypes, and also identify specific sequence features which contribute to a particular phenotype. We demonstrate that IDEPI achieves performance similar to or better than that of previously published approaches on four well-studied problems: finding the epitopes of broadly neutralizing antibodies (bNab), determining coreceptor tropism of the virus, identifying compartment-specific genetic signatures of the virus, and deducing drug-resistance associated mutations. The cross-platform Python source code (released under the GPL 3.0 license), documentation, issue tracking, and a pre-configured virtual machine for IDEPI can be found at https://github.com/veg/idepi.

Mathematics and online learning experiences: a gateway site for engineering students

NASA Astrophysics Data System (ADS)

Masouros, Spyridon D.; Alpay, Esat

2010-03-01

This paper focuses on the preliminary design of a multifaceted computer-based mathematics resource for undergraduate and pre-entry engineering students. Online maths resources, while attractive in their flexibility of delivery, have seen variable interest from students and teachers alike. Through student surveys and wide consultations, guidelines have been developed for effectively collating and integrating learning, support, application and diagnostic tools to produce an Engineer's Mathematics Gateway. Specific recommendations include: the development of a shared database of engineering discipline-specific problems and examples; the identification of, and resource development for, troublesome mathematics topics which encompass ideas of threshold concepts and mastery components; the use of motivational and promotional material to raise student interest in learning mathematics in an engineering context; the use of general and lecture-specific concept maps and matrices to identify the needs and relevance of mathematics to engineering topics; and further exploration of the facilitation of peer-based learning through online resources.

Deep Learning in Medical Image Analysis

PubMed Central

Shen, Dinggang; Wu, Guorong; Suk, Heung-Il

2016-01-01

The computer-assisted analysis for better interpreting images have been longstanding issues in the medical imaging field. On the image-understanding front, recent advances in machine learning, especially, in the way of deep learning, have made a big leap to help identify, classify, and quantify patterns in medical images. Specifically, exploiting hierarchical feature representations learned solely from data, instead of handcrafted features mostly designed based on domain-specific knowledge, lies at the core of the advances. In that way, deep learning is rapidly proving to be the state-of-the-art foundation, achieving enhanced performances in various medical applications. In this article, we introduce the fundamentals of deep learning methods; review their successes to image registration, anatomical/cell structures detection, tissue segmentation, computer-aided disease diagnosis or prognosis, and so on. We conclude by raising research issues and suggesting future directions for further improvements. PMID:28301734

Fear conditioning leads to alteration in specific genes expression in cortical and thalamic neurons that project to the lateral amygdala.

PubMed

Katz, Ira K; Lamprecht, Raphael

2015-02-01

RNA transcription is needed for memory formation. However, the ability to identify genes whose expression is altered by learning is greatly impaired because of methodological difficulties in profiling gene expression in specific neurons involved in memory formation. Here, we report a novel approach to monitor the expression of genes after learning in neurons in specific brain pathways needed for memory formation. In this study, we aimed to monitor gene expression after fear learning. We retrogradely labeled discrete thalamic neurons that project to the lateral amygdala (LA) of rats. The labeled neurons were dissected, using laser microdissection microscopy, after fear conditioning learning or unpaired training. The RNAs from the dissected neurons were subjected to microarray analysis. The levels of selected RNAs detected by the microarray analysis to be altered by fear conditioning were also assessed by nanostring analysis. We observed that the expression of genes involved in the regulation of translation, maturation and degradation of proteins was increased 6 h after fear conditioning compared to unpaired or naïve trained rats. These genes were not expressed 24 h after training or in cortical neurons that project to the LA. The expression of genes involved in transcription regulation and neuronal development was altered after fear conditioning learning in the cortical-LA pathway. The present study provides key information on the identity of genes expressed in discrete thalamic and cortical neurons that project to the LA after fear conditioning. Such an approach could also serve to identify gene products as targets for the development of a new generation of therapeutic agents that could be aimed to functionally identified brain circuits to treat memory-related disorders. © 2014 International Society for Neurochemistry.

The Impact of 1:1 Laptops on Teaching and Learning: How Seven Secondary Educators Perceive Technology Having Enhanced Their Teaching and Their Students' Learning

ERIC Educational Resources Information Center

Stephens, Andrew G.

2017-01-01

The purpose of this qualitative study is to investigate how teachers who have been identified as high level integrators of technology (specifically laptop technology) perceive their journey to integration, the impact of it on their teaching pedagogy, and the impact of it on student learning. Constructivist Theory informed the interpretations of…

The barriers and motivators to learning infection control in clinical placements: interviews with midwifery students.

PubMed

Ward, Deborah J

2013-05-01

To investigate the barriers to and motivators for learning infection prevention and control as identified by midwifery students. Semi-structured interviews were undertaken with 15 undergraduate midwifery students within one large university. Data were analysed using Framework Analysis. Barriers to good clinical practice were identified by students which were concordant with previous literature related to reasons for non-compliance with infection control precautions. Issues such as competing demands specific to midwifery were also identified. Factors which act as barriers to learning good practice in placements included conflicting information and practices from different staff and placement areas and staff attitudes towards students who tried to comply with precautions. Motivators to good practice included the perceived vulnerability of infants to infection, the role modelling of good practice to new mothers and the monitoring of practice. This study demonstrated that midwifery students perceive barriers and motivators to learning infection prevention and control in their clinical placements. Many of the barriers identified are related to the attitudes and practices of qualified staff. Some of the motivators are related specifically to midwifery practice. Midwives need to be aware of the effects of what is observed in practice on midwifery students and how their practices and attitudes can influence learning both positively and negatively. As healthcare-associated infection and poor compliance with precautions are a global problem, this research should be of benefit to midwives and midwifery educators worldwide in terms of addressing barriers and ensuring better clinical education. Copyright © 2012 Elsevier Ltd. All rights reserved.

Identification of tissue-specific targeting peptide

NASA Astrophysics Data System (ADS)

Jung, Eunkyoung; Lee, Nam Kyung; Kang, Sang-Kee; Choi, Seung-Hoon; Kim, Daejin; Park, Kisoo; Choi, Kihang; Choi, Yun-Jaie; Jung, Dong Hyun

2012-11-01

Using phage display technique, we identified tissue-targeting peptide sets that recognize specific tissues (bone-marrow dendritic cell, kidney, liver, lung, spleen and visceral adipose tissue). In order to rapidly evaluate tissue-specific targeting peptides, we performed machine learning studies for predicting the tissue-specific targeting activity of peptides on the basis of peptide sequence information using four machine learning models and isolated the groups of peptides capable of mediating selective targeting to specific tissues. As a representative liver-specific targeting sequence, the peptide "DKNLQLH" was selected by the sequence similarity analysis. This peptide has a high degree of homology with protein ligands which can interact with corresponding membrane counterparts. We anticipate that our models will be applicable to the prediction of tissue-specific targeting peptides which can recognize the endothelial markers of target tissues.

The operating theatre as classroom: a qualitative study of learning and teaching surgical competencies.

PubMed

Kieu, Violet; Stroud, Leanne; Huang, Paul; Smith, Mitchell; Spychal, Robert; Hunter-Smith, David; Nestel, Debra

2015-01-01

There has been a worldwide movement toward competency-based medical education and training. However, this is the first qualitative study to analyze the perceptions of surgical trainees and surgeons toward competency-based education in the operating theatre. We aim to examine views toward the specific learning and teaching of the nine competencies of the Royal Australasian College of Surgeons (RACS) and to explore perceived ideal conditions and challenges for learning and teaching these competencies in the operating theatre. Individual semi-structured interviews with surgical trainees and surgeons in the specialty of General Surgery. Ten surgical trainees and surgeons who worked together were purposively sampled, for maximum variation, from an outer metropolitan public hospital in Melbourne, Australia, to identify emergent themes relating to learning and teaching surgical competencies in the operating theatre. Five themes were identified as: (1) Learning and teaching specific surgical competencies is through relationship based mentoring and experiential learning; (2) Ideal conditions and challenges in the operating theatre are availability of time and personal attitude; (3) Level of pre-operative briefing was variable; (4) Intra-operative teaching is perceived as structured; and, (5) Post-operative debriefing is recognized as ideal but not consistently performed. Professional relationships are important to both surgical trainees and surgeons in the process of learning and teaching competencies. Ad hoc apprenticeship style learning is perceived to remain prominent in the operating theatre. Sufficient time for training is valued by both groups. The surgical competencies are inherently different to each other. Some appear more difficult to learn and teach in the operating theatre, with technical expertise most readily identified and health advocacy least so. Elements of guided discovery learning and other educational models are described. Further emphasis on structured competency-based teaching methods may be beneficial for surgical trainees, surgeons and other specialties, both in Australia and worldwide.

Dual Outcomes of Psychology Assignments: Perceived Learning and Feelings of Prideful Accomplishment

ERIC Educational Resources Information Center

Pines, Harvey A.; Larkin, Judith E.; Murray, Molly P.

2016-01-01

Two studies explored properties of psychology assignments from an atypical perspective: students' own perceptions of what they learned and their emotional reactions to the assignments, specifically feelings of pride in their work. Study 1 showed that assignments vary in their likelihood of generating prideful accomplishment and identified three…

GED Preparation through Distance Learning in Rural Pennsylvania

ERIC Educational Resources Information Center

Prins, Esther; Drayton, Brendaly; Gungor, Ramazan; Kassab, Cathy

2011-01-01

This study investigated the types, use, and effectiveness of distance learning (DL) for General Education Development (GED) candidates in rural Pennsylvania. The research goal was to provide information for enhancing DL GED study options. Specifically, the study, which was conducted in 2009-2010, sought to: identify the types and use of GED…

34 CFR 300.308 - Additional group members.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Educational Placements Additional Procedures for Identifying Children with Specific Learning Disabilities... learning disability is a child with a disability as defined in § 300.8, must be made by the child's parents... of his or her age; or (3) For a child of less than school age, an individual qualified by the SEA to...

Teaching Environmental Education through PBL: Evaluation of a Teaching Intervention Program

ERIC Educational Resources Information Center

Vasconcelos, Clara

2012-01-01

If our chosen aim in science education is to be inclusive and to improve students' learning achievements, then we must identify teaching methodologies that are appropriate for teaching and learning specific knowledge. Karagiorgi and Symeo (2005) remind us that instructional designers are thus challenged to translate the philosophy of…

Subtypes of Attachment Security in School-Age Children with Learning Disabilities

ERIC Educational Resources Information Center

Al-Yagon, Michal

2012-01-01

This study explored children's secure attachment with both parents versus one parent, as well as the unique role of children's patterns of close relationships with father and mother, for a deeper understanding of maladjustment problems among children with learning disabilities (LD). Specifically, this study identified subgroups of children with…

Towards Next Generation Activity-Based Learning Systems

ERIC Educational Resources Information Center

Sampson, Demetrios G.; Karampiperis, Pythagoras

2006-01-01

The need for e-learning systems that support a diverse set of pedagogical requirements has been identified as an important issue in web-based education. Until now, significant research and development effort has been devoted to aiming towards web-based educational systems tailored to specific pedagogical approaches. The most advanced of them are…

"Plays Nice with Others": Social-Emotional Learning and Academic Success

ERIC Educational Resources Information Center

Denham, Susanne A.; Brown, Chavaughn

2010-01-01

Research Findings: Social-emotional learning (SEL) is increasingly becoming an area of focus for determining children's school readiness and predicting their academic success. Practice or Policy: The current article outlines a model of SEL, identifies specific SEL skills, and discusses how such skills contribute and relate to academic success.…

The Relation between Comprehensive Assessment Procedures and Diagnostic Stability in School-Aged Children Identified with Learning Disabilities

ERIC Educational Resources Information Center

Rosenblum, Yonatan; Larochette, Anne-Claire; Harrison, Allyson G.; Armstrong, Irene

2010-01-01

Learning Disabilities (LDs) affect a significant number of students in elementary and secondary school. In order for these students, along with parents and teachers, to understand the nature of their specific difficulties, and have equal opportunity in academic settings, a comprehensive psychological report containing properly informed…

"LearningPad" Conundrum: The Perils of Using Third-Party Software and Student Privacy

ERIC Educational Resources Information Center

O'Brien, Jason; Roller, Sarah; Lampley, Sandra

2017-01-01

This case focuses on the potential problems associated with sharing personally identifiable information (PII) when students are required to use third-party software. Specifically, third-grade students were required to complete "LearningPad" activities as a component of their homework grade in math, spelling, and language arts. As…

Factors Affecting the Adoption of an E-Assessment System

ERIC Educational Resources Information Center

McCann, Ann L.

2010-01-01

A case study was conducted in 2006-07 to explore how one US campus implemented a centralised e-assessment system. The study specifically measured the extent of adoption by faculty members, identified their reasons for adoption and evaluated the impact on teaching and learning. The purposes of the system, entitled researching learning (REAL, a…

Understanding the challenges to facilitating active learning in the resident conferences: a qualitative study of internal medicine faculty and resident perspectives

PubMed Central

Sawatsky, Adam P.; Zickmund, Susan L.; Berlacher, Kathryn; Lesky, Dan; Granieri, Rosanne

2015-01-01

Background In the Next Accreditation System, the Accreditation Council for Graduate Medical Education outlines milestones for medical knowledge and requires regular didactic sessions in residency training. There are many challenges to facilitating active learning in resident conferences, and we need to better understand resident learning preferences and faculty perspectives on facilitating active learning. The goal of this study was to identify challenges to facilitating active learning in resident conferences, both through identifying specific implementation barriers and identifying differences in perspective between faculty and residents on effective teaching and learning strategies. Methods The investigators invited core residency faculty to participate in focus groups. The investigators used a semistructured guide to facilitate discussion about learning preferences and teaching perspectives in the conference setting and used an ‘editing approach’ within a grounded theory framework to qualitative analysis to code the transcripts and analyze the results. Data were compared to previously collected data from seven resident focus groups. Results Three focus groups with 20 core faculty were conducted. We identified three domains pertaining to facilitating active learning in resident conferences: barriers to facilitating active learning formats, similarities and differences in faculty and resident learning preferences, and divergence between faculty and resident opinions about effective teaching strategies. Faculty identified several setting, faculty, and resident barriers to facilitating active learning in resident conferences. When compared to residents, faculty expressed similar learning preferences; the main differences were in motivations for conference attendance and type of content. Resident preferences and faculty perspectives differed on the amount of information appropriate for lecture and the role of active participation in resident conferences. Conclusion This study highlights several challenges to facilitating active learning in resident conferences and provides insights for residency faculty who seek to transform the conference learning environment within their residency program. PMID:26160805

Understanding the challenges to facilitating active learning in the resident conferences: a qualitative study of internal medicine faculty and resident perspectives.

PubMed

Sawatsky, Adam P; Zickmund, Susan L; Berlacher, Kathryn; Lesky, Dan; Granieri, Rosanne

2015-01-01

Background In the Next Accreditation System, the Accreditation Council for Graduate Medical Education outlines milestones for medical knowledge and requires regular didactic sessions in residency training. There are many challenges to facilitating active learning in resident conferences, and we need to better understand resident learning preferences and faculty perspectives on facilitating active learning. The goal of this study was to identify challenges to facilitating active learning in resident conferences, both through identifying specific implementation barriers and identifying differences in perspective between faculty and residents on effective teaching and learning strategies. Methods The investigators invited core residency faculty to participate in focus groups. The investigators used a semistructured guide to facilitate discussion about learning preferences and teaching perspectives in the conference setting and used an 'editing approach' within a grounded theory framework to qualitative analysis to code the transcripts and analyze the results. Data were compared to previously collected data from seven resident focus groups. Results Three focus groups with 20 core faculty were conducted. We identified three domains pertaining to facilitating active learning in resident conferences: barriers to facilitating active learning formats, similarities and differences in faculty and resident learning preferences, and divergence between faculty and resident opinions about effective teaching strategies. Faculty identified several setting, faculty, and resident barriers to facilitating active learning in resident conferences. When compared to residents, faculty expressed similar learning preferences; the main differences were in motivations for conference attendance and type of content. Resident preferences and faculty perspectives differed on the amount of information appropriate for lecture and the role of active participation in resident conferences. Conclusion This study highlights several challenges to facilitating active learning in resident conferences and provides insights for residency faculty who seek to transform the conference learning environment within their residency program.

Success in baccalaureate nursing programs: a matter of accommodation?

PubMed

Haislett, J; Hughes, R B; Atkinson, G; Williams, C L

1993-02-01

This article explores student learning styles as an important variable in four-year baccalaureate nursing programs. Student learning styles were assessed by Kolb's Learning Style Inventory-1985 (LSI-1985), which identifies the accommodator, diverger, assimilator, and converger learning styles. The authors examined the relationship between learning style and academic performance as measured by grade-point ratio (GPR) and studied behaviors and attitudes as measured by Brown and Holtzman's (1964) Survey of Study Habits and Attitudes. Analysis indicated that this sample (N = 100) included mainly assimilators and divergers, making reflective observation the most common mode of learning. Compared to the accommodator/converger group, the assimilator/diverger group earned a significantly higher GPR, significantly better scores on the study habits variable of Work Methods (WM), and moderately better scores on the study attitude variable of Educational Acceptance (EA). Accommodators were identified as the most at-risk learning style group, and specific interventions were suggested to assist accommodators in adapting to the academic rigors of a nursing curriculum.

Gamification and Multimedia for Medical Education: A Landscape Review.

PubMed

McCoy, Lise; Lewis, Joy H; Dalton, David

2016-01-01

Medical education is rapidly evolving. Students enter medical school with a high level of technological literacy and an expectation for instructional variety in the curriculum. In response, many medical schools now incorporate technology-enhanced active learning and multimedia education applications. Education games, medical mobile applications, and virtual patient simulations are together termed gamified training platforms. To review available literature for the benefits of using gamified training platforms for medical education (both preclinical and clinical) and training. Also, to identify platforms suitable for these purposes with links to multimedia content. Peer-reviewed literature, commercially published media, and grey literature were searched to compile an archive of recently published scientific evaluations of gamified training platforms for medical education. Specific educational games, mobile applications, and virtual simulations useful for preclinical and clinical training were identified and categorized. Available evidence was summarized as it related to potential educational advantages of the identified platforms for medical education. Overall, improved learning outcomes have been demonstrated with virtual patient simulations. Games have the potential to promote learning, increase engagement, allow for real-word application, and enhance collaboration. They can also provide opportunities for risk-free clinical decision making, distance training, learning analytics, and swift feedback. A total of 5 electronic games and 4 mobile applications were identified for preclinical training, and 5 electronic games, 10 mobile applications, and 12 virtual patient simulation tools were identified for clinical training. Nine additional gamified, virtual environment training tools not commercially available were also identified. Many published studies suggest possible benefits from using gamified media in medical curriculum. This is a rapidly growing field. More research is required to rigorously evaluate the specific educational benefits of these interventions. This archive of hyperlinked tools can be used as a resource for all levels of medical trainees, providers, and educators.

Student experiences across multiple flipped courses in a single curriculum.

PubMed

Khanova, Julia; Roth, Mary T; Rodgers, Jo Ellen; McLaughlin, Jacqueline E

2015-10-01

The flipped classroom approach has garnered significant attention in health professions education, which has resulted in calls for curriculum-wide implementations of the model. However, research to support the development of evidence-based guidelines for large-scale flipped classroom implementations is lacking. This study was designed to examine how students experience the flipped classroom model of learning in multiple courses within a single curriculum, as well as to identify specific elements of flipped learning that students perceive as beneficial or challenging. A qualitative analysis of students' comments (n = 6010) from mid-course and end-of-course evaluations of 10 flipped courses (in 2012-2014) was conducted. Common and recurring themes were identified through systematic iterative coding and sorting using the constant comparison method. Multiple coders, agreement through consensus and member checking were utilised to ensure the trustworthiness of findings. Several themes emerged from the analysis: (i) the perceived advantages of flipped learning coupled with concerns about implementation; (ii) the benefits of pre-class learning and factors that negatively affect these benefits, such as quality and quantity of learning materials, as well as overall increase in workload, especially in the context of multiple concurrent flipped courses; (iii) the role of the instructor in the flipped learning environment, particularly in engaging students in active learning and ensuring instructional alignment, and (iv) the need for assessments that emphasise the application of knowledge and critical thinking skills. Analysis of data from 10 flipped courses provided insight into common patterns of student learning experiences specific to the flipped learning model within a single curriculum. The study points to the challenges associated with scaling the implementation of the flipped classroom across multiple courses. Several core elements critical to the effective design and implementation of the flipped classroom model are identified. © 2015 John Wiley & Sons Ltd.

Faculty experiences with providing online courses. Thorns among the roses.

PubMed

Cravener, P A

1999-01-01

This article presents a review of the literature summarizing faculty reports of their experiences with computer-mediated distance education compared with their traditional face-to-face teaching experiences. Both challenges and benefits of distance learning programs contrasted with classroom-based teaching are revealed. Specific difficulties and advantages identified by online faculty were categorized into four broad areas of impact on the teaching/learning experience: (a) faculty workload, (b) access to education, (c) adapting to technology, and (d) instructional quality. Challenges appear to be related predominantly to faculty workloads, new technologies, and online course management. Benefits identified by online educators indicate that computer-mediated distance education has high potential for expanding student access to educational resources, for providing individualized instruction, and for promoting active learning among geographically separated members of learning groups.

The learning curve of laparoscopic holecystectomy in general surgery resident training: old age of the patient may be a risk factor?

PubMed

Ferrarese, Alessia; Gentile, Valentina; Bindi, Marco; Rivelli, Matteo; Cumbo, Jacopo; Solej, Mario; Enrico, Stefano; Martino, Valter

2016-01-01

A well-designed learning curve is essential for the acquisition of laparoscopic skills: but, are there risk factors that can derail the surgical method? From a review of the current literature on the learning curve in laparoscopic surgery, we identified learning curve components in video laparoscopic cholecystectomy; we suggest a learning curve model that can be applied to assess the progress of general surgical residents as they learn and master the stages of video laparoscopic cholecystectomy regardless of type of patient. Electronic databases were interrogated to better define the terms "surgeon", "specialized surgeon", and "specialist surgeon"; we surveyed the literature on surgical residency programs outside Italy to identify learning curve components, influential factors, the importance of tutoring, and the role of reference centers in residency education in surgery. From the definition of acceptable error, self-efficacy, and error classification, we devised a learning curve model that may be applied to training surgical residents in video laparoscopic cholecystectomy. Based on the criteria culled from the literature, the three surgeon categories (general, specialized, and specialist) are distinguished by years of experience, case volume, and error rate; the patients were distinguished for years and characteristics. The training model was constructed as a series of key learning steps in video laparoscopic cholecystectomy. Potential errors were identified and the difficulty of each step was graded using operation-specific characteristics. On completion of each procedure, error checklist scores on procedure-specific performance are tallied to track the learning curve and obtain performance indices of measurement that chart the trainee's progress. The concept of the learning curve in general surgery is disputed. The use of learning steps may enable the resident surgical trainee to acquire video laparoscopic cholecystectomy skills proportional to the instructor's ability, the trainee's own skills, and the safety of the surgical environment. There were no patient characteristics that can derail the methods. With this training scheme, resident trainees may be provided the opportunity to develop their intrinsic capabilities without the loss of basic technical skills.

Surgical education to improve the quality of patient care: the role of practice-based learning and improvement.

PubMed

Sachdeva, Ajit K

2007-11-01

Health care is going through immense change, and concerns regarding the quality of patient care and patient safety continue to be expressed in many national forums. A variety of stakeholders are demanding greater accountability from the health care profession. Education is key to supporting surgeons' efforts to provide high-quality patient care during these challenging times. Educational programs for surgeons should be founded on principles of continuous professional development (CPD) and practice-based learning and improvement (PBLI). CPD focuses on the specific needs of individual surgeons and involves lifelong learning throughout a surgeon's career. It needs to form the basis of PBLI efforts. PBLI involves a cycle of four steps--identifying areas for improvement, engaging in learning, applying new knowledge and skills to practice, and checking for improvement. Ongoing involvement in PBLI activities to address specific learning needs should positively impact a surgeon's practice and improve outcomes of surgical care.

State Policy and Guidance for Identifying Learning Disabilities in Culturally and Linguistically Diverse Students

ERIC Educational Resources Information Center

Scott, Amy N.; Boynton Hauerwas, Laura; Brown, Rachel D.

2014-01-01

This study investigates how state Departments of Education address the needs of culturally and linguistically diverse (CLD) students as they relate to the identification of students with a specific learning disability (SLD). A qualitative research design of directed content analysis was used to examine each state's regulatory criteria for SLD, as…

Complex Problem Solving in Radiologic Technology: Understanding the Roles of Experience, Reflective Judgment, and Workplace Culture

ERIC Educational Resources Information Center

Yates, Jennifer L.

2011-01-01

The purpose of this research study was to explore the process of learning and development of problem solving skills in radiologic technologists. The researcher sought to understand the nature of difficult problems encountered in clinical practice, to identify specific learning practices leading to the development of professional expertise, and to…

Collaborativeness as the Core of Professional Learning Communities beyond Culture and Context: Evidence from Canada, Finland, and Israel

ERIC Educational Resources Information Center

Jäppinen, Aini-Kristiina; Leclerc, Martine; Tubin, Dorit

2016-01-01

Professional learning communities (PLC) have been widely accepted as effective with respect to good atmosphere, adequate leadership practices, and functional working practices. However, the outcomes for school improvement depend on case-specific issues. To identify less culturally and contextually bound issues in 3 PLC settings in Canada, Finland,…

Issues and Challenges Identified in the Development of a Broad Multidisciplinary Work Integrated Learning Package

ERIC Educational Resources Information Center

Sutherland, Karen; Symmons, Mark

2013-01-01

Work integrated learning (WIL) units can be discipline specific and constructed for majors or degrees with a strong vocational orientation. This paper describes an undergraduate unit with its genesis in a public relations internship. The original unit enjoyed strong support from industry partners and was instrumental in many graduates securing…

Digital and Online Learning in Vocational Education and Training in Serbia: A Case Study

ERIC Educational Resources Information Center

Brolpito, Alessandro; Lightfoot, Michael; Radišic, Jelena; Šcepanovic, Danijela

2016-01-01

This case study aims to identify relevant policies and practices for digital and online learning (DOL) in vocational education and training (VET) in Serbia, with a focus on initial VET (IVET). The study was commissioned by the European Training Foundation (ETF) with the following specific objectives: (1) gather information and analyse DOL…

Closing the Theory-Practice Gap: Physical Education Students' Use of Jigsaw Learning in a Secondary School

ERIC Educational Resources Information Center

O'Leary, Nick; Wattison, Nicole; Edwards, Toni; Bryan, Kate

2015-01-01

Recognising that the theory-practice gap remains problematic in the preparation of physical education (PE) teachers, this study sought to explore three undergraduate students use of jigsaw learning teaching gymnastics during a secondary school placement. Specifically, the research attempted to identify those issues that arose using this learning…

Teacher Empowerment in the Implementation of Response to Intervention: A Case Study

ERIC Educational Resources Information Center

Barge, Evie Taff

2012-01-01

Response to Intervention (RtI) is a data-driven process that supports the academic needs of students through targeted interventions to address specific identified areas of weakness. When implemented effectively, RtI aids students at the onset of learning concerns and can remediate learning problems which have, in the past, led to students being…

The Gamer Generation Teaches School: The Gaming Practices and Attitudes towards Technology of Pre-Service Teachers

ERIC Educational Resources Information Center

Hayes, Elisabeth; Ohrnberger, Maryellen

2013-01-01

The purpose of this study was to identify the gaming practices of freshmen undergraduate teacher education students. We also investigated how students who play games compared to non-gamers in their interest in using specific technologies for learning, their beliefs about how technology affects their learning, their orientation towards using new…

Learning Organizations: Diagnosis and Measurement in a Developing Country Context--The Case of Lebanon

ERIC Educational Resources Information Center

Jamali, Dima; Sidani, Yusuf

2008-01-01

Purpose: The purpose of this paper is to assess the performance of a sample of Lebanese organizations vis-a-vis some of the core learning organization dimensions identified in the literature, focusing specifically on those dimensions that are considered most salient and relevant in the Lebanese context. Design/methodology/approach: The paper…

Identifying Affordances of 3D Printed Tangible Models for Understanding Core Biological Concepts

ERIC Educational Resources Information Center

Davenport, Jodi L.; Silberglitt, Matt; Boxerman, Jonathan; Olson, Arthur

2014-01-01

3D models derived from actual molecular structures have the potential to transform student learning in biology. We share findings related to our research questions: 1) what types of interactions with a protein folding kit promote specific learning objectives?, and 2) what features of the instructional environment (e.g., peer interactions, teacher…

Shifting Challenges in Teacher-Education Research and Accreditation: Lessons Learned from Limitations on Studying Program Impact

ERIC Educational Resources Information Center

Contopidis, Ellen; DaBoll-Lavoie, Kathleen; Dunn, Kerry; Darling, Deana; Wieczorek, Kim

2017-01-01

A critical issue in educator preparation is how to ascertain if program graduates are sufficiently prepared to be effective through the acquisition of meaningful evidence of graduates' impact on their students. Challenges to proving specific impact of educator-preparation programs on student learning include identifying and following program…

Identifying Facets of Technology Satisfaction: Measure Development and Application

ERIC Educational Resources Information Center

Njoroge, Joyce; Norman, Andrew; Reed, Diana; Suh, Inchul

2012-01-01

As institutions of higher learning, universities must devote significant resources in developing intellectual capital in the use of educational technology to sustain their viability. To better understand satisfaction in technology used in classrooms, a psychometric instrument was developed to identify and measure the specific factors of…

Learning contextual gene set interaction networks of cancer with condition specificity

PubMed Central

2013-01-01

Background Identifying similarities and differences in the molecular constitutions of various types of cancer is one of the key challenges in cancer research. The appearances of a cancer depend on complex molecular interactions, including gene regulatory networks and gene-environment interactions. This complexity makes it challenging to decipher the molecular origin of the cancer. In recent years, many studies reported methods to uncover heterogeneous depictions of complex cancers, which are often categorized into different subtypes. The challenge is to identify diverse molecular contexts within a cancer, to relate them to different subtypes, and to learn underlying molecular interactions specific to molecular contexts so that we can recommend context-specific treatment to patients. Results In this study, we describe a novel method to discern molecular interactions specific to certain molecular contexts. Unlike conventional approaches to build modular networks of individual genes, our focus is to identify cancer-generic and subtype-specific interactions between contextual gene sets, of which each gene set share coherent transcriptional patterns across a subset of samples, termed contextual gene set. We then apply a novel formulation for quantitating the effect of the samples from each subtype on the calculated strength of interactions observed. Two cancer data sets were analyzed to support the validity of condition-specificity of identified interactions. When compared to an existing approach, the proposed method was much more sensitive in identifying condition-specific interactions even in heterogeneous data set. The results also revealed that network components specific to different types of cancer are related to different biological functions than cancer-generic network components. We found not only the results that are consistent with previous studies, but also new hypotheses on the biological mechanisms specific to certain cancer types that warrant further investigations. Conclusions The analysis on the contextual gene sets and characterization of networks of interaction composed of these sets discovered distinct functional differences underlying various types of cancer. The results show that our method successfully reveals many subtype-specific regions in the identified maps of biological contexts, which well represent biological functions that can be connected to specific subtypes. PMID:23418942

Distinct hippocampal versus frontoparietal-network contributions to retrieval and memory-guided exploration

PubMed Central

Bridge, Donna J.; Cohen, Neal J.; Voss, Joel L.

2017-01-01

Memory can profoundly influence new learning, presumably because memory optimizes exploration of to-be-learned material. Although hippocampus and frontoparietal networks have been implicated in memory-guided exploration, their specific and interactive roles have not been identified. We examined eye movements during fMRI scanning to identify neural correlates of the influences of memory retrieval on exploration and learning. Following retrieval of one object in a multi-object array, viewing was strategically directed away from the retrieved object toward non-retrieved objects, such that exploration was directed towards to-be-learned content. Retrieved objects later served as optimal reminder cues, indicating that exploration caused memory to become structured around the retrieved content. Hippocampal activity was associated with memory retrieval whereas frontoparietal activity varied with strategic viewing patterns deployed following retrieval, thus providing spatiotemporal dissociation of memory retrieval from memory-guided learning strategies. Time-lagged fMRI connectivity analyses indicated that hippocampal activity predicted frontoparietal activity to a greater extent for a condition in which retrieval guided exploration than for a passive control condition in which exploration was not influenced by retrieval. This demonstrates network-level interaction effects specific to influences of memory on strategic exploration. These findings show how memory guides behavior during learning and demonstrate distinct yet interactive hippocampal-frontoparietal roles in implementing strategic exploration behaviors that determine the fate of evolving memory representations. PMID:28471729

Distinct Hippocampal versus Frontoparietal Network Contributions to Retrieval and Memory-guided Exploration.

PubMed

Bridge, Donna J; Cohen, Neal J; Voss, Joel L

2017-08-01

Memory can profoundly influence new learning, presumably because memory optimizes exploration of to-be-learned material. Although hippocampus and frontoparietal networks have been implicated in memory-guided exploration, their specific and interactive roles have not been identified. We examined eye movements during fMRI scanning to identify neural correlates of the influences of memory retrieval on exploration and learning. After retrieval of one object in a multiobject array, viewing was strategically directed away from the retrieved object toward nonretrieved objects, such that exploration was directed toward to-be-learned content. Retrieved objects later served as optimal reminder cues, indicating that exploration caused memory to become structured around the retrieved content. Hippocampal activity was associated with memory retrieval, whereas frontoparietal activity varied with strategic viewing patterns deployed after retrieval, thus providing spatiotemporal dissociation of memory retrieval from memory-guided learning strategies. Time-lagged fMRI connectivity analyses indicated that hippocampal activity predicted frontoparietal activity to a greater extent for a condition in which retrieval guided exploration occurred than for a passive control condition in which exploration was not influenced by retrieval. This demonstrates network-level interaction effects specific to influences of memory on strategic exploration. These findings show how memory guides behavior during learning and demonstrate distinct yet interactive hippocampal-frontoparietal roles in implementing strategic exploration behaviors that determine the fate of evolving memory representations.

The Challenges of Nursing Students in the Clinical Learning Environment: A Qualitative Study

PubMed Central

Jamshidi, Nahid; Molazem, Zahra; Sharif, Farkhondeh; Torabizadeh, Camellia; Najafi Kalyani, Majid

2016-01-01

Background/Aim. Clinical learning is a main part of nursing education. Students' exposure to clinical learning environment is one of the most important factors affecting the teaching-learning process in clinical settings. Identifying challenges of nursing students in the clinical learning environment could improve training and enhance the quality of its planning and promotion of the students. We aimed to explore Iranian nursing students' challenges in the clinical learning environment. Materials and Methods. This is a qualitative study using the content analysis approach. The participants consisted of seventeen nursing students and three nursing instructors. The participants were selected through purposive sampling method and attended semistructured interviews and focus groups. Results. Three themes emerged after data analysis, including ineffective communications, inadequate readiness, and emotional reactions. Conclusion. Nursing students in Iran are faced with many challenges in the clinical learning environment. All challenges identified in this study affected the students' learning in clinical setting. Therefore, we recommend that the instructors prepare students with a specific focus on their communication and psychological needs. PMID:27366787

Identification of Learning Mechanisms in a Wild Meerkat Population

PubMed Central

Hoppitt, Will; Samson, Jamie; Laland, Kevin N.; Thornton, Alex

2012-01-01

Vigorous debates as to the evolutionary origins of culture remain unresolved due to an absence of methods for identifying learning mechanisms in natural populations. While laboratory experiments on captive animals have revealed evidence for a number of mechanisms, these may not necessarily reflect the processes typically operating in nature. We developed a novel method that allows social and asocial learning mechanisms to be determined in animal groups from the patterns of interaction with, and solving of, a task. We deployed it to analyse learning in groups of wild meerkats (Suricata suricatta) presented with a novel foraging apparatus. We identify nine separate learning processes underlying the meerkats’ foraging behaviour, in each case precisely quantifying their strength and duration, including local enhancement, emulation, and a hitherto unrecognized form of social learning, which we term ‘observational perseverance’. Our analysis suggests a key factor underlying the stability of behavioural traditions is a high ratio of specific to generalized social learning effects. The approach has widespread potential as an ecologically valid tool to investigate learning mechanisms in natural groups of animals, including humans. PMID:22905113

Race to the Top. Maryland Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Maryland's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. Maryland's Year 2 accomplishments included implementing…

Blogs for Specific Purposes: Expressivist or Socio-Cognitivist Approach?

ERIC Educational Resources Information Center

Murray, Liam; Hourigan, Triona

2008-01-01

This paper represents an earnest attempt to identify specific pedagogical roles for blogs in language learning. After briefly describing various types of blogs and defining their purposes (Herring "et al.", 2005) we attempt to accommodate their position and application within language teaching (Thorne & Scott Payne, 2005), relating evidence from…

PORTAAL: A Classroom Observation Tool Assessing Evidence-Based Teaching Practices for Active Learning in Large Science, Technology, Engineering, and Mathematics Classes

PubMed Central

Eddy, Sarah L.; Converse, Mercedes; Wenderoth, Mary Pat

2015-01-01

There is extensive evidence that active learning works better than a completely passive lecture. Despite this evidence, adoption of these evidence-based teaching practices remains low. In this paper, we offer one tool to help faculty members implement active learning. This tool identifies 21 readily implemented elements that have been shown to increase student outcomes related to achievement, logic development, or other relevant learning goals with college-age students. Thus, this tool both clarifies the research-supported elements of best practices for instructor implementation of active learning in the classroom setting and measures instructors’ alignment with these practices. We describe how we reviewed the discipline-based education research literature to identify best practices in active learning for adult learners in the classroom and used these results to develop an observation tool (Practical Observation Rubric To Assess Active Learning, or PORTAAL) that documents the extent to which instructors incorporate these practices into their classrooms. We then use PORTAAL to explore the classroom practices of 25 introductory biology instructors who employ some form of active learning. Overall, PORTAAL documents how well aligned classrooms are with research-supported best practices for active learning and provides specific feedback and guidance to instructors to allow them to identify what they do well and what could be improved. PMID:26033871

The influence of the learning climate on learning outcomes from Marte Meo counselling in dementia care.

PubMed

Alnes, Rigmor Einang; Kirkevold, Marit; Skovdahl, Kirsti

2013-01-01

  To identify factors that affected the learning outcomes from Marte Meo counselling (MMC).   Although MMC has shown promising results regarding learning outcomes for staff working in dementia-specific care units, the outcomes differ.   Twelve individual interviews and four focus group interviews with staff who had participated in MMC were analysed through a qualitative content analysis.   The learning climate has considerable significance for the experienced benefit of MMC and indicate that this learning climate depends on three conditions: establishing a common understanding of the content and form of MMC, ensuring staff's willingness to participate and the opportunity to do so, and securing an arena in the unit for discussion and interactions.   Learning outcomes from MMC in dementia-specific care units appear to depend on the learning climate in the unit. Implication for nursing management  The learning climate needs attention from the nursing management when establishing Marte Meo intervention in nursing homes. The learning climate can be facilitated through building common understandings in the units regarding why and how this intervention should take place, and by ensuring clarity in the relationship between the intervention and the organization's objectives. © 2012 Blackwell Publishing Ltd.

Learning curve for intracranial angioplasty and stenting in single center.

PubMed

Cai, Qiankun; Li, Yongkun; Xu, Gelin; Sun, Wen; Xiong, Yunyun; Sun, Wenshan; Bao, Yuanfei; Huang, Xianjun; Zhang, Yao; Zhou, Lulu; Zhu, Wusheng; Liu, Xinfeng

2014-01-01

To identify the specific caseload to overcome learning curve effect based on data from consecutive patients treated with Intracranial Angioplasty and Stenting (IAS) in our center. The Stenting and Aggressive Medical Management for Preventing Recurrent Stroke and Intracranial Stenosis trial was prematurely terminated owing to the high rate of periprocedural complications in the endovascular arm. To date, there are no data available for determining the essential caseload sufficient to overcome the learning effect and perform IAS with an acceptable level of complications. Between March 2004 and May 2012, 188 consecutive patients with 194 lesions who underwent IAS were analyzed retrospectively. The outcome variables used to assess the learning curve were periprocedural complications (included transient ischemic attack, ischemic stroke, vessel rupture, cerebral hyperperfusion syndrome, and vessel perforation). Multivariable logistic regression analysis was employed to illustrate the existence of learning curve effect on IAS. A risk-adjusted cumulative sum chart was performed to identify the specific caseload to overcome learning curve effect. The overall rate of 30-days periprocedural complications was 12.4% (24/194). After adjusting for case-mix, multivariate logistic regression analysis showed that operator experience was an independent predictor for periprocedural complications. The learning curve of IAS to overcome complications in a risk-adjusted manner was 21 cases. Operator's level of experience significantly affected the outcome of IAS. Moreover, we observed that the amount of experience sufficient for performing IAS in our center was 21 cases. Copyright © 2013 Wiley Periodicals, Inc.

Evidence-based Frameworks for Teaching and Learning in Classical Singing Training: A Systematic Review.

PubMed

Crocco, Laura; Madill, Catherine J; McCabe, Patricia

2017-01-01

The study systematically reviews evidence-based frameworks for teaching and learning of classical singing training. This is a systematic review. A systematic literature search of 15 electronic databases following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines was conducted. Eligibility criteria included type of publication, participant characteristics, intervention, and report of outcomes. Quality rating scales were applied to support assessment of the included literature. Data analysis was conducted using meta-aggregation. Nine papers met the inclusion criteria. No complete evidence-based teaching and learning framework was found. Thematic content analysis showed that studies either (1) identified teaching practices in one-to-one lessons, (2) identified student learning strategies in one-to-one lessons or personal practice sessions, and (3) implemented a tool to enhance one specific area of teaching and learning in lessons. The included studies showed that research in music education is not always specific to musical genre or instrumental group, with four of the nine studies including participant teachers and students of classical voice training only. The overall methodological quality ratings were low. Research in classical singing training has not yet developed an evidence-based framework for classical singing training. This review has found that introductory information on teaching and learning practices has been provided, and tools have been suggested for use in the evaluation of the teaching-learning process. High-quality methodological research designs are needed. Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Identification of Gifted Children among the American Indian Population: An Inservice Model.

ERIC Educational Resources Information Center

Florey, Janice E.; And Others

An inservice training program designed to help teachers identify culturally different gifted students is described in this report, which provides specific information about identifying gifted Native Americans. Introductory material summarizes some research on the learning and behavioral characteristics of Native Americans as they differ from the…

Novel Breast Imaging and Machine Learning: Predicting Breast Lesion Malignancy at Cone-Beam CT Using Machine Learning Techniques.

PubMed

Uhlig, Johannes; Uhlig, Annemarie; Kunze, Meike; Beissbarth, Tim; Fischer, Uwe; Lotz, Joachim; Wienbeck, Susanne

2018-05-24

The purpose of this study is to evaluate the diagnostic performance of machine learning techniques for malignancy prediction at breast cone-beam CT (CBCT) and to compare them to human readers. Five machine learning techniques, including random forests, back propagation neural networks (BPN), extreme learning machines, support vector machines, and K-nearest neighbors, were used to train diagnostic models on a clinical breast CBCT dataset with internal validation by repeated 10-fold cross-validation. Two independent blinded human readers with profound experience in breast imaging and breast CBCT analyzed the same CBCT dataset. Diagnostic performance was compared using AUC, sensitivity, and specificity. The clinical dataset comprised 35 patients (American College of Radiology density type C and D breasts) with 81 suspicious breast lesions examined with contrast-enhanced breast CBCT. Forty-five lesions were histopathologically proven to be malignant. Among the machine learning techniques, BPNs provided the best diagnostic performance, with AUC of 0.91, sensitivity of 0.85, and specificity of 0.82. The diagnostic performance of the human readers was AUC of 0.84, sensitivity of 0.89, and specificity of 0.72 for reader 1 and AUC of 0.72, sensitivity of 0.71, and specificity of 0.67 for reader 2. AUC was significantly higher for BPN when compared with both reader 1 (p = 0.01) and reader 2 (p < 0.001). Machine learning techniques provide a high and robust diagnostic performance in the prediction of malignancy in breast lesions identified at CBCT. BPNs showed the best diagnostic performance, surpassing human readers in terms of AUC and specificity.

Domain-Specificity of Self-Concept and Parent Expectation Influences on Short-Term and Long-Term Learning of Physics

ERIC Educational Resources Information Center

Yeung, Alexander Seeshing; Kuppan, Loganantham; Foong, See Kit; Wong, Darren Jon Sien; Kadir, Munirah Shaik; Lee, Paul Choon Keat; Yau, Che Ming

2010-01-01

Background: Students' academic self-concepts are known to be domain specific. Researchers have also identified two related components of self-concept:cognitive (how competent students feel about a subject domain) and affective (their interest in the subject). This paper examines whether both components are domain specific. Research has also shown…

Computer Card Games in Computer Science Education: A 10-Year Review

ERIC Educational Resources Information Center

Kordaki, Maria; Gousiou, Anthi

2016-01-01

This paper presents a 10-year review study that focuses on the investigation of the use of computer card games (CCGs) as learning tools in Computer Science (CS) Education. Specific search terms keyed into 10 large scientific electronic databases identified 24 papers referring to the use of CCGs for the learning of CS matters during the last…

American and Chinese Students' Profiles Based on Spanish-Learning Strategies: A Transcultural Comparison

ERIC Educational Resources Information Center

Bernardo, Aránzazu; Amérigo, María; García, Juan A.

2017-01-01

This paper presents a study on the use of learning strategies in foreign languages, and more specifically Spanish. The study was conducted with 376 Chinese and American students who were studying Spanish in their countries of origin. The results obtained from a latent class cluster analysis identified five groups of participants based on the…

Designing After-School Learning Using the Massively Multiplayer Online Role-Playing Game

ERIC Educational Resources Information Center

King, Elizabeth M.

2015-01-01

Digital games have become popular for engaging students in a range of learning goals, both in the classroom and the after-school space. In this article, I discuss a specific genre of video game, the massively multiplayer online role-playing game (MMO), which has been identified as a dynamic environment for encountering 21st-century workplace…

The Exploration of Models Regarding E-Learning Readiness: Reference Model Suggestions

ERIC Educational Resources Information Center

Demir, Ömer; Yurdugül, Halil

2015-01-01

Many studies have been conducted about readiness for e-learning, yet it is quite hard to decide which work of research from the literature to use in a specific context. Therefore, the aim of this study is to identify of which components models consist and for which stakeholders they were developed by investigating the most comprehensive and…

Requirement of Dopamine Signaling in the Amygdala and Striatum for Learning and Maintenance of a Conditioned Avoidance Response

ERIC Educational Resources Information Center

Darvas, Martin; Fadok, Jonathan P.; Palmiter, Richard D.

2011-01-01

Two-way active avoidance (2WAA) involves learning Pavlovian (association of a sound cue with a foot shock) and instrumental (shock avoidance) contingencies. To identify regions where dopamine (DA) is involved in mediating 2WAA, we restored DA signaling in specific brain areas of dopamine-deficient (DD) mice by local reactivation of conditionally…

Application of Matrix Outcome Mapping to Constructively Align Program Outcomes and Course Outcomes in Higher Education

ERIC Educational Resources Information Center

Mazouz, Abdelkader; Crane, Keenan

2013-01-01

Establishing a link between Course Learning Outcomes (LOs) and Program Outcomes (POs) while assessing the course contents and delivery are among the most challenging issues in Higher Education. In the present study two forms were generated based on specific Course Learning Outcomes identified in the syllabus at the beginning of the teaching term:…

The use of interprofessional learning and simulation in undergraduate nursing programs to address interprofessional communication and collaboration: An integrative review of the literature.

PubMed

Granheim, Benedikte M; Shaw, Julie M; Mansah, Martha

2018-03-01

To identify how simulation and interprofessional learning are used together in undergraduate nursing programs and undertaken in schools of nursing to address interprofessional communication and collaboration. An integrative literature review. The databases CINAHL, ProQuest, PubMed, Scopus, PsycInfo and Science Direct were searched to identify articles from 2006 to 2016 that reported on the use of IPL and simulation together in undergraduate nursing education. Whittemore and Knafl's five step process was used to guide the integrative review of quantitative and qualitative literature. Only peer reviewed articles written in English that addressed undergraduate nursing studies, were included in the review. Articles that did not aim to improve communication and collaboration were excluded. All articles selected were examined to determine their contribution to interprofessional learning and simulation in undergraduate nursing knowledge. The faculties of nursing used interprofessional learning and simulation in undergraduate nursing programs that in some cases were connected to a specific course. A total of nine articles, eight research papers and one narrative report, that focused on collaboration and communication were selected for this review. Studies predominantly used nursing and medical student participants. None of the included studies identified prior student experience with interprofessional learning and simulation. Four key themes were identified: communication, collaboration/teamwork, learning in practice and understanding of roles, and communication. This review highlights the identified research relating to the combined teaching strategy of interprofessional learning and simulation that addressed communication and collaboration in undergraduate nursing programs. Further research into the implementation of interprofessional learning and simulation may benefit the emergent challenges. Information drawn from this review can be used in informing education and educational development in the future. Copyright © 2017 Elsevier Ltd. All rights reserved.

IntelliCages and automated assessment of learning in group-housed mice

NASA Astrophysics Data System (ADS)

Puścian, Alicja; Knapska, Ewelina

2014-11-01

IntelliCage is a fully automated, computer controlled system, which can be used for long-term monitoring of behavior of group-housed mice. Using standardized experimental protocols we can assess cognitive abilities and behavioral flexibility in appetitively and aversively motivated tasks, as well as measure social influences on learning of the subjects. We have also identified groups of neurons specifically activated by appetitively and aversively motivated learning within the amygdala, function of which we are going to investigate optogenetically in the future.

Exploring informal workplace learning in primary healthcare for continuous professional development.

PubMed

Joynes, Viktoria; Kerr, Micky; Treasure-Jones, Tamsin

2017-07-01

All health and social care professionals learn on the job through both formal and informal learning processes, which contributes to continuous professional development (CPD). This study explored workplace learning in General Practices, specifically looking at the role of informal learning and the workplace practices that appear to support or restrict that learning, as well as how technology was integrated into these learning processes. Three focus groups with general practitioners, practice nurses, managerial and administrative staff were conducted followed by twelve individual semi-structured interviews with participants drawn from the focus groups. Three observations of multi-disciplinary team meetings were used to establish potential team-based learning activities. Triggers for informal workplace learning included patients presenting challenging or unusual conditions; exposure to others' professional practice; and policy driven changes through revised guidance and protocols. By exploring how these triggers were acted upon, we identified mechanisms through which the primary care workplace supports or restricts informal learning through working practices, existing technologies and inter-professional structures. Informal workplace learning was identified as arising from both opportunistic encounters and more planned activities, which are both supported and restricted through a variety of mechanisms. Maximising informal learning opportunities and removing barriers to doing so should be a priority for primary care practitioners, managers and educators.

Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence

PubMed Central

Ahn, Woo-Young; Vassileva, Jasmin

2016-01-01

Background Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however, our understanding of the common and specific effects of these two classes of drugs remains limited due to the high rates of polysubstance-dependence among drug users. Methods The goal of the current study was to identify multivariate substance-specific markers classifying heroin dependence (HD) and amphetamine dependence (AD), by using machine-learning approaches. Participants included 39 amphetamine mono-dependent, 44 heroin mono-dependent, 58 polysubstance dependent, and 81 non-substance dependent individuals. The majority of substance dependent participants were in protracted abstinence. We used demographic, personality (trait impulsivity, trait psychopathy, aggression, sensation seeking), psychiatric (attention deficit hyperactivity disorder, conduct disorder, antisocial personality disorder, psychopathy, anxiety, depression), and neurocognitive impulsivity measures (Delay Discounting, Go/No-Go, Stop Signal, Immediate Memory, Balloon Analogue Risk, Cambridge Gambling, and Iowa Gambling tasks) as predictors in a machine-learning algorithm. Results The machine-learning approach revealed substance-specific multivariate profiles that classified HD and AD in new samples with high degree of accuracy. Out of 54 predictors, psychopathy was the only classifier common to both types of addiction. Important dissociations emerged between factors classifying HD and AD, which often showed opposite patterns among individuals with HD and AD. Conclusions These results suggest that different mechanisms may underlie HD and AD, challenging the unitary account of drug addiction. This line of work may shed light on the development of standardized and cost-efficient clinical diagnostic tests and facilitate the development of individualized prevention and intervention programs for HD and AD. PMID:26905209

Correlating students' educational background, study habits, and resource usage with learning success in medical histology.

PubMed

Selvig, Daniel; Holaday, Louisa W; Purkiss, Joel; Hortsch, Michael

2015-01-01

Histology is a traditional core basic science component of most medical and dental education programs and presents a didactic challenge for many students. Identifying students that are likely to struggle with histology would allow for early intervention to support and encourage their learning success. To identify student characteristics that are associated with learning success in histology, three first-year medical school classes at the University of Michigan (>440 students) were surveyed about their educational background, attitudes toward learning histology, and their use of histology learning strategies and resources. These characteristics were linked with the students' quiz and examination results in histology. Students who reported previous experience in histology or pathology and hold science or biomedical science college degrees usually did well in histology. Learning success in histology was also positively associated with students' perception that histology is important for their professional career. Other positive indicators were in-person participation in teacher-guided learning experiences, specifically lecture and laboratory sessions. In contrast, students who relied on watching histology lectures by video rather than going to lectures in-person performed significantly worse. These characteristics and learning strategies of students who did well in this very visual and challenging study subject should be of help for identifying and advising students early, who might be at risk of failing a histology course or component. © 2014 American Association of Anatomists.

Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

PubMed

Tan, W Katherine; Hassanpour, Saeed; Heagerty, Patrick J; Rundell, Sean D; Suri, Pradeep; Huhdanpaa, Hannu T; James, Kathryn; Carrell, David S; Langlotz, Curtis P; Organ, Nancy L; Meier, Eric N; Sherman, Karen J; Kallmes, David F; Luetmer, Patrick H; Griffith, Brent; Nerenz, David R; Jarvik, Jeffrey G

2018-03-28

To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four health systems. We used a limited data set (de-identified except for dates) sampled from lumbar spine imaging reports of a prospectively assembled cohort of adults. From N = 178,333 reports, we randomly selected N = 871 to form a reference-standard dataset, consisting of N = 413 x-ray reports and N = 458 MR reports. Using standardized criteria, four spine experts annotated the presence of 26 findings, where 71 reports were annotated by all four experts and 800 were each annotated by two experts. We calculated inter-rater agreement and finding prevalence from annotated data. We randomly split the annotated data into development (80%) and testing (20%) sets. We developed an NLP system from both rule-based and machine-learned models. We validated the system using accuracy metrics such as sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). The multirater annotated dataset achieved inter-rater agreement of Cohen's kappa > 0.60 (substantial agreement) for 25 of 26 findings, with finding prevalence ranging from 3% to 89%. In the testing sample, rule-based and machine-learned predictions both had comparable average specificity (0.97 and 0.95, respectively). The machine-learned approach had a higher average sensitivity (0.94, compared to 0.83 for rules-based), and a higher overall AUC (0.98, compared to 0.90 for rules-based). Our NLP system performed well in identifying the 26 lumbar spine findings, as benchmarked by reference-standard annotation by medical experts. Machine-learned models provided substantial gains in model sensitivity with slight loss of specificity, and overall higher AUC. Copyright © 2018 The Association of University Radiologists. All rights reserved.

Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data

PubMed Central

2013-01-01

Background Understanding how genes are expressed specifically in particular tissues is a fundamental question in developmental biology. Many tissue-specific genes are involved in the pathogenesis of complex human diseases. However, experimental identification of tissue-specific genes is time consuming and difficult. The accurate predictions of tissue-specific gene targets could provide useful information for biomarker development and drug target identification. Results In this study, we have developed a machine learning approach for predicting the human tissue-specific genes using microarray expression data. The lists of known tissue-specific genes for different tissues were collected from UniProt database, and the expression data retrieved from the previously compiled dataset according to the lists were used for input vector encoding. Random Forests (RFs) and Support Vector Machines (SVMs) were used to construct accurate classifiers. The RF classifiers were found to outperform SVM models for tissue-specific gene prediction. The results suggest that the candidate genes for brain or liver specific expression can provide valuable information for further experimental studies. Our approach was also applied for identifying tissue-selective gene targets for different types of tissues. Conclusions A machine learning approach has been developed for accurately identifying the candidate genes for tissue specific/selective expression. The approach provides an efficient way to select some interesting genes for developing new biomedical markers and improve our knowledge of tissue-specific expression. PMID:23369200

Polyunsaturated fatty acids (PUFAs) for children with specific learning disorders.

PubMed

Tan, May Loong; Ho, Jacqueline J; Teh, Keng Hwang

2016-09-28

About 5% of school children have a specific learning disorder, defined as unexpected failure to acquire adequate abilities in reading, writing or mathematics that is not a result of reduced intellectual ability, inadequate teaching or social deprivation. Of these events, 80% are reading disorders. Polyunsaturated fatty acids (PUFAs), in particular, omega-3 and omega-6 fatty acids, which normally are abundant in the brain and in the retina, are important for learning. Some children with specific learning disorders have been found to be deficient in these PUFAs, and it is argued that supplementation of PUFAs may help these children improve their learning abilities. 1. To assess effects on learning outcomes of supplementation of polyunsaturated fatty acids (PUFAs) for children with specific learning disorders.2. To determine whether adverse effects of supplementation of PUFAs are reported in these children. In November 2015, we searched CENTRAL, Ovid MEDLINE, Embase, PsycINFO, 10 other databases and two trials registers. We also searched the reference lists of relevant articles. Randomised controlled trials (RCTs) or quasi-RCTs comparing PUFAs with placebo or no treatment in children younger than 18 years with specific learning disabilities, as diagnosed in accordance with the fifth (or earlier) edition of theDiagnostic and Statistical Manual of Mental Disorders (DSM-5), or the 10th (or earlier) revision of the International Classification of Diseases (ICD-10) or equivalent criteria. We included children with coexisting developmental disorders such as attention deficit hyperactivity disorder (ADHD) or autism. Two review authors (MLT and KHT) independently screened the titles and abstracts of articles identified by the search and eliminated all studies that did not meet the inclusion criteria. We contacted study authors to ask for missing information and clarification, when needed. We used the GRADE approach to assess the quality of evidence. Two small studies involving 116 children, mainly boys between 10 and 18 years of age, met the inclusion criteria. One study was conducted in a school setting, the other at a specialised clinic. Both studies used three months of a combination of omega-3 and omega-6 supplements as the intervention compared with placebo. Although both studies had generally low risk of bias, we judged the risk of reporting bias as unclear in one study, and as high in the other study. In addition, one of the studies was funded by industry and reported active company involvement in the study.None of the studies reported data on the primary outcomes of reading, writing, spelling and mathematics scores, as assessed by standardised tests.Evidence of low quality indicates that supplementation of PUFAs did not increase the risk of gastrointestinal disturbances (risk ratio 1.43, 95% confidence interval 0.25 to 8.15; two studies, 116 children). Investigators reported no other adverse effects.Both studies reported attention deficit hyperactivity disorder (ADHD)-related behaviour outcomes. We were unable to combine the results in a meta-analysis because one study reported findings as a continuous outcome, and the other as a dichotomous outcome. No other secondary outcomes were reported.We excluded one study because it used a cointervention (carnosine), and five other studies because they did not provide a robust diagnosis of a specific learning disorder. We identified one ongoing study and found three studies awaiting classification. Evidence is insufficient to permit any conclusions about the effect of PUFAs on the learning abilities of children with specific learning disorders. Well-designed RCTs with clearly defined populations of children with specific learning disorders who have been diagnosed by standardised diagnostic criteria are needed.

Race to the Top. Delaware Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Delaware's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. Despite some implementation challenges and delays during the…

Race to the Top. Georgia Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Georgia's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. During Year 2, Georgia had a range of accomplishments across…

Race to the Top. Florida Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of Florida's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Some highlights of…

Race to the Top. Georgia Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of Georgia's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. To support implementation…

Systematic Design of a Learning Environment for Domain-Specific and Domain-General Critical Thinking Skills

ERIC Educational Resources Information Center

Tiruneh, Dawit Tibebu; Weldeslassie, Ataklti G.; Kassa, Abrham; Tefera, Zinaye; De Cock, Mieke; Elen, Jan

2016-01-01

Identifying effective instructional approaches that stimulate students' critical thinking (CT) has been the focus of a large body of empirical research. However, there is little agreement on the instructional principles and procedures that are theoretically sound and empirically valid to developing both domain-specific and domain-general CT…

Race to the Top. Hawaii Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of Hawaii's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. This past year, Hawaii significantly improved collaboration among the Governor's Office, the HIDOE (Hawaii…

Race to the Top. Maryland Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of Maryland's Year 4 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from the implementation process from approximately September 2013 through September 2014. During Year 4, Maryland supported educators as…

Race to the Top. Massachusetts Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

The State-specific summary report serves as an assessment of Massachusetts' Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. In Year 2, Massachusetts continued to implement strong…

Task Analysis - Its Relation to Content Analysis.

ERIC Educational Resources Information Center

Gagne, Robert M.

Task analysis is a procedure having the purpose of identifying different kinds of performances which are outcomes of learning, in order to make possible the specification of optimal instructional conditions for each kind of outcome. Task analysis may be related to content analysis in two different ways: (1) it may be used to identify the probably…

Differentiating Instruction: As Easy as One, Two, Three

ERIC Educational Resources Information Center

Shepherd, Carol; Acosta-Tello, Enid

2015-01-01

Using the "Three Phase Lesson" model, teachers identify prior knowledge that the student must possess in order to be successful in learning the new concepts. Teachers then delineate specific components inherent in the concepts that need to be mastered and identify tasks which will enable the student to practice these new concepts.

Identifying Twice-Exceptional Children and Three Gifted Styles in the Japanese Primary Science Classroom

ERIC Educational Resources Information Center

Sumida, Manabu

2010-01-01

Children with mild developmental disorders sometimes show giftedness. In this study, an original checklist was developed to identify gifted characteristics specific to science learning among twice-exceptional primary school children in Japan. The checklist consisted of 60 items on Attitudes, Thinking, Skills, and Knowledge/Understanding. A total…

Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics.

PubMed

Ding, Michael Q; Chen, Lujia; Cooper, Gregory F; Young, Jonathan D; Lu, Xinghua

2018-02-01

Precision oncology involves identifying drugs that will effectively treat a tumor and then prescribing an optimal clinical treatment regimen. However, most first-line chemotherapy drugs do not have biomarkers to guide their application. For molecularly targeted drugs, using the genomic status of a drug target as a therapeutic indicator has limitations. In this study, machine learning methods (e.g., deep learning) were used to identify informative features from genome-scale omics data and to train classifiers for predicting the effectiveness of drugs in cancer cell lines. The methodology introduced here can accurately predict the efficacy of drugs, regardless of whether they are molecularly targeted or nonspecific chemotherapy drugs. This approach, on a per-drug basis, can identify sensitive cancer cells with an average sensitivity of 0.82 and specificity of 0.82; on a per-cell line basis, it can identify effective drugs with an average sensitivity of 0.80 and specificity of 0.82. This report describes a data-driven precision medicine approach that is not only generalizable but also optimizes therapeutic efficacy. The framework detailed herein, when successfully translated to clinical environments, could significantly broaden the scope of precision oncology beyond targeted therapies, benefiting an expanded proportion of cancer patients. Mol Cancer Res; 16(2); 269-78. ©2017 AACR . ©2017 American Association for Cancer Research.

The role of context in preschool learning: a multilevel examination of the contribution of context-specific problem behaviors and classroom process quality to low-income children's approaches to learning.

PubMed

Domínguez, Ximena; Vitiello, Virginia E; Fuccillo, Janna M; Greenfield, Daryl B; Bulotsky-Shearer, Rebecca J

2011-04-01

Research suggests that promoting adaptive approaches to learning early in childhood may help close the gap between advantaged and disadvantaged children. Recent research has identified specific child-level and classroom-level variables that are significantly associated with preschoolers' approaches to learning. However, further research is needed to understand the interactive effects of these variables and determine whether classroom-level variables buffer the detrimental effects of child-level risk variables. Using a largely urban and minority sample (N=275) of preschool children, the present study examined the additive and interactive effects of children's context-specific problem behaviors and classroom process quality dimensions on children's approaches to learning. Teachers rated children's problem behavior and approaches to learning and independent assessors conducted classroom observations to assess process quality. Problem behaviors in structured learning situations and in peer and teacher interactions were found to negatively predict variance in approaches to learning. Classroom process quality domains did not independently predict variance in approaches to learning. Nonetheless, classroom process quality played an important role in these associations; high emotional support buffered the detrimental effects of problem behavior, whereas high instructional support exacerbated them. The findings of this study have important implications for classroom practices aimed at helping children who exhibit problem behaviors. Copyright © 2010 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Assessing host-specificity of Escherichia coli using a supervised learning logic-regression-based analysis of single nucleotide polymorphisms in intergenic regions.

PubMed

Zhi, Shuai; Li, Qiaozhi; Yasui, Yutaka; Edge, Thomas; Topp, Edward; Neumann, Norman F

2015-11-01

Host specificity in E. coli is widely debated. Herein, we used supervised learning logic-regression-based analysis of intergenic DNA sequence variability in E. coli in an attempt to identify single nucleotide polymorphism (SNP) biomarkers of E. coli that are associated with natural selection and evolution toward host specificity. Seven-hundred and eighty strains of E. coli were isolated from 15 different animal hosts. We utilized logic regression for analyzing DNA sequence data of three intergenic regions (flanked by the genes uspC-flhDC, csgBAC-csgDEFG, and asnS-ompF) to identify genetic biomarkers that could potentially discriminate E. coli based on host sources. Across 15 different animal hosts, logic regression successfully discriminated E. coli based on animal host source with relatively high specificity (i.e., among the samples of the non-target animal host, the proportion that correctly did not have the host-specific marker pattern) and sensitivity (i.e., among the samples from a given animal host, the proportion that correctly had the host-specific marker pattern), even after fivefold cross validation. Permutation tests confirmed that for most animals, host specific intergenic biomarkers identified by logic regression in E. coli were significantly associated with animal host source. The highest level of biomarker sensitivity was observed in deer isolates, with 82% of all deer E. coli isolates displaying a unique SNP pattern that was 98% specific to deer. Fifty-three percent of human isolates displayed a unique biomarker pattern that was 98% specific to humans. Twenty-nine percent of cattle isolates displayed a unique biomarker that was 97% specific to cattle. Interestingly, even within a related host group (i.e., Family: Canidae [domestic dogs and coyotes]), highly specific SNP biomarkers (98% and 99% specificity for dog and coyotes, respectively) were observed, with 21% of dog E. coli isolates displaying a unique dog biomarker and 61% of coyote isolates displaying a unique coyote biomarker. Application of a supervised learning method, such as logic regression, to DNA sequence analysis at certain intergenic regions demonstrates that some E. coli strains may evolve to become host-specific. Copyright © 2015 Elsevier Inc. All rights reserved.

The Desired Learning Outcomes of School-Based Nutrition/Physical Activity Health Education: A Health Literacy Constructed Delphi Survey of Finnish Experts

ERIC Educational Resources Information Center

Ormshaw, Michael James; Kokko, Sami Petteri; Villberg, Jari; Kannas, Lasse

2016-01-01

Purpose: The purpose of this paper is to utilise the collective opinion of a group of Finnish experts to identify the most important learning outcomes of secondary-level school-based health education, in the specific domains of physical activity and nutrition. Design/ Methodology/ Approach: The study uses a Delphi survey technique to collect the…

Two-stage perceptual learning to break visual crowding.

PubMed

Zhu, Ziyun; Fan, Zhenzhi; Fang, Fang

2016-01-01

When a target is presented with nearby flankers in the peripheral visual field, it becomes harder to identify, which is referred to as crowding. Crowding sets a fundamental limit of object recognition in peripheral vision, preventing us from fully appreciating cluttered visual scenes. We trained adult human subjects on a crowded orientation discrimination task and investigated whether crowding could be completely eliminated by training. We discovered a two-stage learning process with this training task. In the early stage, when the target and flankers were separated beyond a certain distance, subjects acquired a relatively general ability to break crowding, as evidenced by the fact that the breaking of crowding could transfer to another crowded orientation, even a crowded motion stimulus, although the transfer to the opposite visual hemi-field was weak. In the late stage, like many classical perceptual learning effects, subjects' performance gradually improved and showed specificity to the trained orientation. We also found that, when the target and flankers were spaced too finely, training could only reduce, rather than completely eliminate, the crowding effect. This two-stage learning process illustrates a learning strategy for our brain to deal with the notoriously difficult problem of identifying peripheral objects in clutter. The brain first learned to solve the "easy and general" part of the problem (i.e., improving the processing resolution and segmenting the target and flankers) and then tackle the "difficult and specific" part (i.e., refining the representation of the target).

Long-term memory: A review and meta-analysis of studies of declarative and procedural memory in specific language impairment

PubMed Central

Lum, Jarrad A. G.; Conti-Ramsden, Gina

2014-01-01

This review examined the status of long-term memory systems in specific language impairment (SLI), in particular declarative memory and aspects of procedural memory. Studies included in the review were identified following a systematic search of the literature and findings combined using meta-analysis. This review showed individuals with SLI are poorer than age matched controls in the learning and retrieval of verbal information from the declarative memory. However, there is evidence to suggest that the problems with declarative learning and memory for verbal information in SLI might be due to difficulties with verbal working memory and language. The learning and retrieval of non-verbal information from declarative memory appears relatively intact. In relation to procedural learning and memory, evidence indicates poor implicit learning of verbal information. Findings pertaining to nonverbal information have been mixed. This review of the literature indicates there are now substantial grounds for suspecting that multiple memory systems may be implicated in the impairment. PMID:24748707

Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

PubMed Central

Feng, Mary; Valdes, Gilmer; Dixit, Nayha; Solberg, Timothy D.

2018-01-01

Machine learning (ML) has the potential to revolutionize the field of radiation oncology, but there is much work to be done. In this article, we approach the radiotherapy process from a workflow perspective, identifying specific areas where a data-centric approach using ML could improve the quality and efficiency of patient care. We highlight areas where ML has already been used, and identify areas where we should invest additional resources. We believe that this article can serve as a guide for both clinicians and researchers to start discussing issues that must be addressed in a timely manner. PMID:29719815

Investigating the Language of Engineering Education

NASA Astrophysics Data System (ADS)

Variawa, Chirag

A significant part of professional communication development in engineering is the ability to learn and understand technical vocabulary. Mastering such vocabulary is often a desired learning outcome of engineering education. In promoting this goal, this research investigates the development of a tool that creates wordlists of characteristic discipline-specific vocabulary for a given course. These wordlists explicitly highlight requisite vocabulary learning and, when used as a teaching aid, can promote greater accessibility in the learning environment. Literature, including work in higher education, diversity and language learning, suggest that designing accessible learning environments can increase the quality of instruction and learning for all students. Studying the student/instructor interface using the framework of Universal Instructional Design identified vocabulary learning as an invisible barrier in engineering education. A preliminary investigation of this barrier suggested that students have difficulty assessing their understanding of technical vocabulary. Subsequently, computing word frequency on engineering course material was investigated as an approach for characterizing this barrier. However, it was concluded that a more nuanced method was necessary. This research program was built on previous work in the fields of linguistics and computer science, and lead to the design of an algorithm. The developed algorithm is based on a statistical technique called, Term Frequency-Inverse Document Frequency. Comparator sets of documents are used to hierarchically identify characteristic terms on a target document, such as course materials from a previous term of study. The approach draws on a standardized artifact of the engineering learning environment as its dataset; a repository of 2254 engineering final exams from the University of Toronto, to process the target material. After producing wordlists for ten courses, with the goal of highlighting characteristic discipline-specific terms, the effectiveness of the approach was evaluated by comparing the computed results to the judgment of subject-matter experts. The overall data show a good correlation between the program and the subject-matter experts. The results indicated a balance between accuracy and feasibility, and suggested that this approach could mimic subject-matter expertise to create a list discipline-specific vocabulary from course materials.

Genomics analysis of potassium channel genes in songbirds reveals molecular specializations of brain circuits for the maintenance and production of learned vocalizations

PubMed Central

2013-01-01

Background A fundamental question in molecular neurobiology is how genes that determine basic neuronal properties shape the functional organization of brain circuits underlying complex learned behaviors. Given the growing availability of complete vertebrate genomes, comparative genomics represents a promising approach to address this question. Here we used genomics and molecular approaches to study how ion channel genes influence the properties of the brain circuitry that regulates birdsong, a learned vocal behavior with important similarities to human speech acquisition. We focused on potassium (K-)Channels, which are major determinants of neuronal cell excitability. Starting with the human gene set of K-Channels, we used cross-species mRNA/protein alignments, and syntenic analysis to define the full complement of orthologs, paralogs, allelic variants, as well as novel loci not previously predicted in the genome of zebra finch (Taeniopygia guttata). We also compared protein coding domains in chicken and zebra finch orthologs to identify genes under positive selective pressure, and those that contained lineage-specific insertions/deletions in functional domains. Finally, we conducted comprehensive in situ hybridizations to determine the extent of brain expression, and identify K-Channel gene enrichments in nuclei of the avian song system. Results We identified 107 K-Channel finch genes, including 6 novel genes common to non-mammalian vertebrate lineages. Twenty human genes are absent in songbirds, birds, or sauropsids, or unique to mammals, suggesting K-Channel properties may be lineage-specific. We also identified specific family members with insertions/deletions and/or high dN/dS ratios compared to chicken, a non-vocal learner. In situ hybridization revealed that while most K-Channel genes are broadly expressed in the brain, a subset is selectively expressed in song nuclei, representing molecular specializations of the vocal circuitry. Conclusions Together, these findings shed new light on genes that may regulate biophysical and excitable properties of the song circuitry, identify potential targets for the manipulation of the song system, and reveal genomic specializations that may relate to the emergence of vocal learning and associated brain areas in birds. PMID:23845108

[Problem-based learning, a strategy to employ it].

PubMed

Guillamet Lloveras, Ana; Celma Vicente, Matilde; González Carrión, Pilar; Cano-Caballero Gálvez, Ma Dolores; Pérez Ramírez, Francisca

2009-02-01

The Virgen de las Nieves University School of Nursing has adopted the methodology of Problem-Based Learning (ABP in Spanish acronym) as a supplementary method to gain specific transversal competencies. In so doing, all basic required/obligatory subjects necessary for a degree have been partially affected. With the objective of identifying and administering all the structural and cultural barriers which could impede the success or effectiveness of its adoption, a strategic analysis at the School was carried out. This technique was based on a) knowing the strong and weak points the School has for adopting the Problem-Based Learning methodology; b) describing the structural problems and necessities to carry out this teaching innovation; c) to discover the needs professors have regarding knowledge and skills related to Problem-Based Learning; d) to prepare students by informing them about the characteristics of Problem-Based Learning; e) to evaluate the results obtained by means of professor and student opinions, f) to adopt the improvements identified. The stages followed were: strategic analysis, preparation, pilot program, adoption and evaluation.

Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology

PubMed Central

Swan, Anna Louise; Mobasheri, Ali; Allaway, David; Liddell, Susan

2013-01-01

Abstract Mass spectrometry is an analytical technique for the characterization of biological samples and is increasingly used in omics studies because of its targeted, nontargeted, and high throughput abilities. However, due to the large datasets generated, it requires informatics approaches such as machine learning techniques to analyze and interpret relevant data. Machine learning can be applied to MS-derived proteomics data in two ways. First, directly to mass spectral peaks and second, to proteins identified by sequence database searching, although relative protein quantification is required for the latter. Machine learning has been applied to mass spectrometry data from different biological disciplines, particularly for various cancers. The aims of such investigations have been to identify biomarkers and to aid in diagnosis, prognosis, and treatment of specific diseases. This review describes how machine learning has been applied to proteomics tandem mass spectrometry data. This includes how it can be used to identify proteins suitable for use as biomarkers of disease and for classification of samples into disease or treatment groups, which may be applicable for diagnostics. It also includes the challenges faced by such investigations, such as prediction of proteins present, protein quantification, planning for the use of machine learning, and small sample sizes. PMID:24116388

Identifying key areas for active interprofessional learning partnerships: A facilitated dialogue.

PubMed

Steven, Kathryn; Angus, Allyson; Breckenridge, Jenna; Davey, Peter; Tully, Vicki; Muir, Fiona

2016-11-01

Student and service user involvement is recognised as an important factor in creating interprofessional education (IPE) opportunities. We used a team-based learning approach to bring together undergraduate health professional students, early career professionals (ECPs), public partners, volunteers, and carers to explore learning partnerships. Influenced by evaluative inquiry, this qualitative study used a free text response to allow participants to give their own opinion. A total of 153 participants (50 public partners and 103 students and professionals representing 11 healthcare professions) took part. Participants were divided into mixed groups of six (n = 25) and asked to identify areas where students, professionals, and public could work together to improve health professional education. Each group documented their discussions by summarising agreed areas and next steps. Responses were collected and transcribed for inductive content analysis. Seven key themes (areas for joint working) were identified: communication, public as partners, standards of conduct, IPE, quality improvement, education, and learning environments. The team-based learning format enabled undergraduate and postgraduate health professionals to achieve consensus with public partners on areas for IPE and collaboration. Some of our results may be context-specific but the approach is generalisable to other areas.

Developing models to predict 8th grade students' achievement levels on timss science based on opportunity-to-learn variables

NASA Astrophysics Data System (ADS)

Whitford, Melinda M.

Science educational reforms have placed major emphasis on improving science classroom instruction and it is therefore vital to study opportunity-to-learn (OTL) variables related to student science learning experiences and teacher teaching practices. This study will identify relationships between OTL and student science achievement and will identify OTL predictors of students' attainment at various distinct achievement levels (low/intermediate/high/advanced). Specifically, the study (a) address limitations of previous studies by examining a large number of independent and control variables that may impact students' science achievement and (b) it will test hypotheses of structural relations to how the identified predictors and mediating factors impact on student achievement levels. The study will follow a multi-stage and integrated bottom-up and top-down approach to identify predictors of students' achievement levels on standardized tests using TIMSS 2011 dataset. Data mining or pattern recognition, a bottom-up approach will identify the most prevalent association patterns between different student achievement levels and variables related to student science learning experiences, teacher teaching practices and home and school environments. The second stage is a top-down approach, testing structural equation models of relations between the significant predictors and students' achievement levels according.

How Residents Learn From Patient Feedback: A Multi-Institutional Qualitative Study of Pediatrics Residents' Perspectives.

PubMed

Bogetz, Alyssa L; Orlov, Nicola; Blankenburg, Rebecca; Bhavaraju, Vasudha; McQueen, Alisa; Rassbach, Caroline

2018-04-01

Residents may view feedback from patients and their families with greater skepticism than feedback from supervisors and peers. While discussing patient and family feedback with faculty may improve residents' acceptance of feedback and learning, specific strategies have not been identified. We explored pediatrics residents' perspectives of patient feedback and identified strategies that promote residents' reflection on and learning from feedback. In this multi-institutional, qualitative study conducted in June and July 2016, we conducted focus groups with a purposive sample of pediatrics residents after their participation in a randomized controlled trial in which they received written patient feedback and either discussed it with faculty or reviewed it independently. Focus group transcripts were audiorecorded, transcribed, and analyzed for themes using the constant comparative approach associated with grounded theory. Thirty-six of 92 (39%) residents participated in 7 focus groups. Four themes emerged: (1) residents valued patient feedback but felt it may lack the specificity they desire; (2) discussing feedback with a trusted faculty member was helpful for self-reflection; (3) residents identified 5 strategies faculty used to facilitate their openness to and acceptance of patient feedback (eg, help resident overcome emotional responses to feedback and situate feedback in the context of lifelong learning); and (4) residents' perceptions of feedback credibility improved when faculty observed patient encounters and solicited feedback on the resident's behalf prior to discussions. Discussing patient feedback with faculty provided important scaffolding to enhance residents' openness to and reflection on patient feedback.

Avoid, Control, Succumb, or Balance: Engineering Students' Approaches to a Wicked Sustainability Problem

NASA Astrophysics Data System (ADS)

Lönngren, Johanna; Ingerman, Åke; Svanström, Magdalena

2017-08-01

Wicked sustainability problems (WSPs) are an important and particularly challenging type of problem. Science and engineering education can play an important role in preparing students to deal with such problems, but current educational practice may not adequately prepare students to do so. We address this gap by providing insights related to students' abilities to address WSPs. Specifically, we aim to (I) describe key constituents of engineering students' approaches to a WSP, (II) evaluate these approaches in relation to the normative context of education for sustainable development (ESD), and (III) identify relevant aspects of learning related to WSPs. Aim I is addressed through a phenomenographic study, while aims II and III are addressed by relating the results to research literature about human problem solving, sustainable development, and ESD. We describe four qualitatively different ways of approaching a specific WSP, as the outcome of the phenomenographic study: A. Simplify and avoid, B. Divide and control, C. Isolate and succumb, and D. Integrate and balance. We identify approach D as the most appropriate approach in the context of ESD, while A and C are not. On this basis, we identify three learning objectives related to students' abilities to address WSPs: learn to use a fully integrative approach, distinguish WSPs from tame and well-structured problems, and understand and consider the normative context of SD. Finally, we provide recommendations for how these learning objectives can be used to guide the design of science and engineering educational activities.

Associative learning and regional white matter deficits in mild cognitive impairment.

PubMed

Boespflug, Erin L; Eliassen, James; Welge, Jeffrey; Krikorian, Robert

2014-01-01

While diagnostic criteria for Alzheimer's disease (AD) include neuroimaging biomarkers, there remains no definitive biomarker of mild cognitive impairment (MCI). MCI is a risk factor for AD that may be amenable to early intervention. Early decline in white matter (WM) integrity identified by diffusion tensor imaging (DTI) is a predictor of future progression of neurodegeneration. Identify regionally specific WM differences between individuals with MCI and those with age-associated memory impairment (AAMI) and relationships with specific memory decrements. DTI and neuropsychological data were acquired from 38 participants (23 MCI and 15 AAMI). A region of interest approach was used to evaluate regional differences between groups and correlative relationships with performance on memory tasks. Fornix WM had higher mean (MD), radial (DR), and axial (DA) diffusivity in MCI participants relative to AAMI. Temporal stem (TS) WM had higher MD and DR in MCI than in AAMI. In MCI, TS MD and DR varied, while fornix MD and DR was uniformly high, and in AAMI, TS MD and DR were uniformly low and fornix MD and DR varied. In MCI, TS MD and DA were inversely associated with associative learning but not list learning. In addition to supporting prior evidence implicating the fornix in early AD pathology, these data implicate a profile of neurodegeneration associated with early MCI. Further, they suggest that associative learning tasks are more sensitive to early neurodegeneration and may be useful in identifying individuals at risk for AD.

Deep Learning in Medical Image Analysis.

PubMed

Shen, Dinggang; Wu, Guorong; Suk, Heung-Il

2017-06-21

This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images. At the core of these advances is the ability to exploit hierarchical feature representations learned solely from data, instead of features designed by hand according to domain-specific knowledge. Deep learning is rapidly becoming the state of the art, leading to enhanced performance in various medical applications. We introduce the fundamentals of deep learning methods and review their successes in image registration, detection of anatomical and cellular structures, tissue segmentation, computer-aided disease diagnosis and prognosis, and so on. We conclude by discussing research issues and suggesting future directions for further improvement.

Interactive Book Reading to Accelerate Word Learning by Kindergarten Children With Specific Language Impairment: Identifying an Adequate Intensity and Variation in Treatment Response.

PubMed

Storkel, Holly L; Voelmle, Krista; Fierro, Veronica; Flake, Kelsey; Fleming, Kandace K; Romine, Rebecca Swinburne

2017-01-01

This study sought to identify an adequate intensity of interactive book reading for new word learning by children with specific language impairment (SLI) and to examine variability in treatment response. An escalation design adapted from nontoxic drug trials (Hunsberger, Rubinstein, Dancey, & Korn, 2005) was used in this Phase I/II preliminary clinical trial. A total of 27 kindergarten children with SLI were randomized to 1 of 4 intensities of interactive book reading: 12, 24, 36, or 48 exposures. Word learning was monitored through a definition task and a naming task. An intensity response curve was examined to identify the adequate intensity. Correlations and classification accuracy were used to examine variation in response to treatment relative to pretreatment and early treatment measures. Response to treatment improved as intensity increased from 12 to 24 to 36 exposures, and then no further improvements were observed as intensity increased to 48 exposures. There was variability in treatment response: Children with poor phonological awareness, low vocabulary, and/or poor nonword repetition were less likely to respond to treatment. The adequate intensity for this version of interactive book reading was 36 exposures, but further development of the treatment is needed to increase the benefit for children with SLI.

Interactive Book Reading to Accelerate Word Learning by Kindergarten Children With Specific Language Impairment: Identifying an Adequate Intensity and Variation in Treatment Response

PubMed Central

Voelmle, Krista; Fierro, Veronica; Flake, Kelsey; Fleming, Kandace K.; Romine, Rebecca Swinburne

2017-01-01

Purpose This study sought to identify an adequate intensity of interactive book reading for new word learning by children with specific language impairment (SLI) and to examine variability in treatment response. Method An escalation design adapted from nontoxic drug trials (Hunsberger, Rubinstein, Dancey, & Korn, 2005) was used in this Phase I/II preliminary clinical trial. A total of 27 kindergarten children with SLI were randomized to 1 of 4 intensities of interactive book reading: 12, 24, 36, or 48 exposures. Word learning was monitored through a definition task and a naming task. An intensity response curve was examined to identify the adequate intensity. Correlations and classification accuracy were used to examine variation in response to treatment relative to pretreatment and early treatment measures. Results Response to treatment improved as intensity increased from 12 to 24 to 36 exposures, and then no further improvements were observed as intensity increased to 48 exposures. There was variability in treatment response: Children with poor phonological awareness, low vocabulary, and/or poor nonword repetition were less likely to respond to treatment. Conclusion The adequate intensity for this version of interactive book reading was 36 exposures, but further development of the treatment is needed to increase the benefit for children with SLI. PMID:28036410

Matching student personality types and learning preferences to teaching methodologies.

PubMed

Jessee, Stephen A; O'Neill, Paula N; Dosch, Robert O

2006-06-01

The purpose of this study was to identify teaching styles that complement the learning preferences of undergraduate dental students while enhancing the quality of patient care. A formidable challenge to reform in dental education has been overcoming the resistance by faculty and administration to recommended changes. The organizational structure of dental institutions, with their independent departments, makes obtaining consensus on educational issues difficult. For beneficial change to occur, clear evidence of the benefits to all within the organization must be presented. The objectives of the study were to 1) identify the most common personality types among first- and second-year undergraduate dental students at the University of Texas Dental Branch at Houston using the Myers-Briggs Type Indicator (MBTI); 2) identify the learning preferences of these personality types; and 3) determine a more effective approach to teaching clinical dentistry based upon student personality types and learning preferences. Four common personality types were identified among respondents: ISTJ, ESFJ, ESTJ, and ISFJ, with a predisposition for Sensing (S) (desire for facts, use of senses) over Intuition (N) (look for possibilities, relationships) and Judging (J) (prefers decisiveness, closure) over Perceiving (P) (desire flexibility, spontaneity). The most common occurring personality type, ISTJ, represents an Introverted, Sensing, Thinking, Judging individual. Specific clinical curricular techniques that would appeal to these common personality types are identified, and an explanation of their benefit is provided. Results of this study demonstrate the importance of faculty understanding and acknowledging different student personality types and related learning preferences as a way to initiate improvement of undergraduate dental education, promote student motivation, and allow for an expression of learning style preference.

Measuring and filtering reactive inhibition is essential for assessing serial decision making and learning.

PubMed

Török, Balázs; Janacsek, Karolina; Nagy, Dávid G; Orbán, Gergő; Nemeth, Dezso

2017-04-01

Learning complex structures from stimuli requires extended exposure and often repeated observation of the same stimuli. Learning induces stimulus-dependent changes in specific performance measures. The same performance measures, however, can also be affected by processes that arise because of extended training (e.g., fatigue) but are otherwise independent from learning. Thus, a thorough assessment of the properties of learning can only be achieved by identifying and accounting for the effects of such processes. Reactive inhibition is a process that modulates behavioral performance measures on a wide range of time scales and often has opposite effects than learning. Here we develop a tool to disentangle the effects of reactive inhibition from learning in the context of an implicit learning task, the alternating serial reaction time (ASRT) task. Our method highlights that the magnitude of the effect of reactive inhibition on measured performance is larger than that of the acquisition of statistical structure from stimuli. We show that the effect of reactive inhibition can be identified not only in population measures but also at the level of performance of individuals, revealing varying degrees of contribution of reactive inhibition. Finally, we demonstrate that a higher proportion of behavioral variance can be explained by learning once the effects of reactive inhibition are eliminated. These results demonstrate that reactive inhibition has a fundamental effect on the behavioral performance that can be identified in individual participants and can be separated from other cognitive processes like learning. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Race to the Top. New York Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of New York's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. In Year 4, New York…

Race to the Top. North Carolina Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of North Carolina's second year of Race to the Top implementation. The report highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2011 through September 2012. In Year 2, North Carolina continued the…

Race to the Top. Georgia Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of Georgia's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Georgia's first-year accomplishments include awarding the State's first five Race to the Top Innovation Fund…

Race to the Top. Massachusetts Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of Massachusetts' Year 3 Race to the Top implementation. The Year 3 report for Phase 1 and Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2012 through September 2013. In School…

Race to the Top. District of Columbia Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of the District of Columbia's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. The Office of the State Superintendent of Education (OSSE) manages the District of Columbia…

Race to the Top. Florida Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Florida's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. In Year 2, the State made progress in executing contracts and…

Race to the Top. Rhode Island Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of Rhode Island's Year 3 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2013 through September 2014. Building upon the successes of Years 1 through 3, in Year…

Race to the Top. Maryland Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of Maryland's Year 3 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from the implementation process. During Year 3 Maryland continued to prepare educators to fully implement the Common Core State Standards…

Race to the Top. Rhode Island Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Rhode Island's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. In Year 2, Rhode Island Department of Education (RIDE)…

Race to the Top. District of Columbia Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of the District of Columbia's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. Despite the delays, the Office of the State…

Race to the Top. Ohio Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Ohio's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. During Year 2, Ohio built on its Year 1 successes. In its…

Race to the Top. Rhode Island Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of Rhode Island's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. According to the State, in Year 1, Rhode Island greatly increased statewide capacity to begin…

Race to the Top. District of Columbia Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of the District of Columbia's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Given that…

Race to the Top. Delaware Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of Delaware's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Delaware created new structures at the State level to support both State and LEA (local education agency) Race…

Race to the Top. North Carolina. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of North Carolina's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Delaware created new structures at the State level to support both State and LEA (local education…

Race to the Top. Tennessee Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

The State-specific summary report serves as an assessment of Tennessee's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Given that Delaware and…

Race to the Top. Rhode Island Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of Rhode Island's Year 3 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2012 through September 2013. In Year 3, many initiatives that were in the development…

Race to the Top. North Carolina Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

This State-specific summary report serves as an assessment of North Carolina's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. In year 4, North…

Race to the Top. Delaware Report. Year 4: School Year 2013-2014. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2015

2015-01-01

The State-specific summary report serves as an assessment of Delaware's annual Race to the Top implementation. The Year 4 report for Phase 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2013 through September 2014. Given that Delaware and…

Race to the Top. New York Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of New York's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. New York significantly increased its capacity to provide support to its local educational agencies (LEAs). At…

Race to the Top. Hawaii Report. Year 2: School Year 2011-2012. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2013

2013-01-01

This State-specific summary report serves as an assessment of Hawaii's Year 2 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation from approximately September 2011 through September 2012. During Year 2, Hawaii worked to revise its Race to the Top plan…

Identification of Specific Language Impairment in Bilingual Children: I. Assessment in English

ERIC Educational Resources Information Center

Gillam, Ronald B.; Peña, Elizabeth D.; Bedore, Lisa M.; Bohman, Thomas M.; Mendez-Perez, Anita

2013-01-01

Purpose: This study was designed to derive cut scores for English testing for use in identifying specific language impairment (SLI) in bilingual children who were learning English as a second language. Method: In a 1-gate design, 167 children received comprehensive language assessments in English and Spanish during their first-grade year. The…

Race to the Top. Delaware Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

The State-specific summary report serves as an assessment of Delaware's annual Race to the Top implementation. The Year 3 report for Phase 1 and 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2012 through September 2013. Delaware made…

Two Processes in Early Bimanual Motor Skill Learning

PubMed Central

Yeganeh Doost, Maral; Orban de Xivry, Jean-Jacques; Bihin, Benoît; Vandermeeren, Yves

2017-01-01

Most daily activities are bimanual and their efficient performance requires learning and retention of bimanual coordination. Despite in-depth knowledge of the various stages of motor skill learning in general, how new bimanual coordination control policies are established is still unclear. We designed a new cooperative bimanual task in which subjects had to move a cursor across a complex path (a circuit) as fast and as accurately as possible through coordinated bimanual movements. By looking at the transfer of the skill between different circuits and by looking at training with varying circuits, we identified two processes in early bimanual motor learning. Loss of performance due to the switch in circuit after 15 min of training amounted to 20%, which suggests that a significant portion of improvements in bimanual performance is specific to the used circuit (circuit-specific skill). In contrast, the loss of performance due to the switch in circuit was 5% after 4 min of training. This suggests that learning the new bimanual coordination control policy dominates early in the training and is independent of the used circuit. Finally, switching between two circuits throughout training did not affect the early stage of learning (i.e., the first few minutes), but did affect the later stage. Together, these results suggest that early bimanual motor skill learning includes two different processes. Learning the new bimanual coordination control policy predominates in the first minutes whereas circuit-specific skill improvements unfold later in parallel with further improvements in the bimanual coordination control policy. PMID:29326573

How to Identify Your Pest

Science.gov Websites

Pest Pest-specific Information (by name) Pest Control Tips Integrated Pest Management (IPM) Fact Sheets National Pesticide Information Center 1.800.858.7378 npic@ace.orst.edu We're open from 8:00AM to 12 Plants Pest Control Identify Your Pest Learn About Your Pest Control Your Pest Integrated Pest Management

Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence.

PubMed

Ahn, Woo-Young; Vassileva, Jasmin

2016-04-01

Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however, our understanding of the common and specific effects of these two classes of drugs remains limited due to the high rates of polysubstance-dependence among drug users. The goal of the current study was to identify multivariate substance-specific markers classifying heroin dependence (HD) and amphetamine dependence (AD), by using machine-learning approaches. Participants included 39 amphetamine mono-dependent, 44 heroin mono-dependent, 58 polysubstance dependent, and 81 non-substance dependent individuals. The majority of substance dependent participants were in protracted abstinence. We used demographic, personality (trait impulsivity, trait psychopathy, aggression, sensation seeking), psychiatric (attention deficit hyperactivity disorder, conduct disorder, antisocial personality disorder, psychopathy, anxiety, depression), and neurocognitive impulsivity measures (Delay Discounting, Go/No-Go, Stop Signal, Immediate Memory, Balloon Analogue Risk, Cambridge Gambling, and Iowa Gambling tasks) as predictors in a machine-learning algorithm. The machine-learning approach revealed substance-specific multivariate profiles that classified HD and AD in new samples with high degree of accuracy. Out of 54 predictors, psychopathy was the only classifier common to both types of addiction. Important dissociations emerged between factors classifying HD and AD, which often showed opposite patterns among individuals with HD and AD. These results suggest that different mechanisms may underlie HD and AD, challenging the unitary account of drug addiction. This line of work may shed light on the development of standardized and cost-efficient clinical diagnostic tests and facilitate the development of individualized prevention and intervention programs for HD and AD. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Innovation in pediatric clinical education: application of the essential competencies.

PubMed

Kenyon, Lisa K; Birkmeier, Marisa; Anderson, Deborah K; Martin, Kathy

2015-01-01

At the Section on Pediatrics Education Summit in July 2012, consensus was achieved on 5 essential core competencies (ECCs) that represent a knowledge base essential to all graduates of professional physical therapist education programs. This article offers suggestions for how clinical instructors (CIs) might use the ECCs to identify student needs and guide student learning during a pediatric clinical education experience. Pediatric CIs potentially might choose to use the ECCs as a reference tool in clinical education to help (1) organize and develop general, clinic-specific clinical education objectives, (2) develop and plan individualized student learning experiences, (3) identify student needs, and (4) show progression of student learning from beginner to intermediate to entry level. The ECCs may offer CIs insights into the role of pediatric clinical education in professional physical therapist education.

Informal science education at Science City

NASA Astrophysics Data System (ADS)

French, April Nicole

The presentation of chemistry within informal learning environments, specifically science museums and science centers is very sparse. This work examines learning in Kansas City's Science City's Astronaut Training Center in order to identify specific behaviors associated with visitors' perception of learning and their attitudes toward space and science to develop an effective chemistry exhibit. Grounded in social-constructivism and the Contextual Model of Learning, this work approaches learning in informal environments as resulting from social interactions constructed over time from interaction between visitors. Visitors to the Astronaut Training Center were surveyed both during their visit and a year after the visit to establish their perceptions of behavior within the exhibit and attitudes toward space and science. Observations of visitor behavior and a survey of the Science City staff were used to corroborate visitor responses. Eighty-six percent of visitors to Science City indicated they had learned from their experiences in the Astronaut Training Center. No correlation was found between this perception of learning and visitor's interactions with exhibit stations. Visitor attitudes were generally positive toward learning in informal settings and space science as it was presented in the exhibit. Visitors also felt positively toward using video game technology as learning tools. This opens opportunities to developing chemistry exhibits using video technology to lessen the waste stream produced by a full scale chemistry exhibit.

Understanding the Factors That Support the Use of Active Learning Teaching in STEM Undergraduate Courses: Case Studies in the Field of Geoscience

ERIC Educational Resources Information Center

Iverson, Ellen A. Roscoe

2016-01-01

The purpose of this study was to understand the factors that support the adoption of active learning teaching strategies in undergraduate courses by faculty members, specifically in the STEM disciplines related to geoscience. The focus of the study centered on the context of the department which was identified as a gap in evaluation and…

What Does Evidence-Based Instruction in Social and Emotional Learning Actually Look Like in Practice? A Brief on Findings from CASEL's Program Reviews

ERIC Educational Resources Information Center

Dusenbury, Linda; Calin, Sophia; Domitrovich, Celene; Weissberg, Roger P.

2015-01-01

In this brief we use the CASEL reviews of evidence-based programs to answer the question, "What do teachers and other adults actually need to do in the classroom and school to help students achieve the goals laid out in social and emotional learning (SEL) standards?" Specifically, we identify and describe four approaches that have been…

Movement Issues Identified in Movement ABC2 Checklist Parent Ratings for Students with Persisting Dysgraphia, Dyslexia, and OWL LD and Typical Literacy Learners

ERIC Educational Resources Information Center

Nielsen, Kathleen; Henderson, Sheila; Barnett, Anna L.; Abbott, Robert D.; Berninger, Virginia

2018-01-01

Movement, which draws on motor skills and executive functions for managing them, plays an important role in literacy learning (e.g., movement of mouth during oral reading and movement of hand and fingers during writing); but relatively little research has focused on movement skills in students with specific learning disabilities as the current…

Analysis of a Physics Teacher's Pedagogical "Micro-Actions" That Support 17-Year-Olds' Learning of Free Body Diagrams via a Modelling Approach

ERIC Educational Resources Information Center

Tay, Su Lynn; Yeo, Jennifer

2018-01-01

Great teaching is characterised by the specific actions a teacher takes in the classroom to bring about learning. In the context of model-based teaching (MBT), teachers' difficulty in working with students' models that are not scientifically consistent is troubling. To address this problem, the aim of this study is to identify the pedagogical…

Migration and Validation of Non-Formal and Informal Learning in Europe: Inclusion, Exclusion or Polarisation in the Recognition of Skills?

ERIC Educational Resources Information Center

Souto-Otero, Manuel; Villalba-Garcia, Ernesto

2015-01-01

This article explores (1) the degree to which immigrants can be considered dominant groups in the area of validation of non-formal and informal learning and are subject to specific validation measures in 33 European countries; (2) whether country clusters can be identified within Europe with regard to the dominance of immigrants in the area of…

Utilising database-driven interactive software to enhance independent home-study in a flipped classroom setting: going beyond visualising engineering concepts to ensuring formative assessment

NASA Astrophysics Data System (ADS)

Comerford, Liam; Mannis, Adam; DeAngelis, Marco; Kougioumtzoglou, Ioannis A.; Beer, Michael

2018-07-01

The concept of formative assessment is considered by many to play an important role in enhancing teaching in higher engineering education. In this paper, the concept of the flipped classroom as part of a blended learning curriculum is highlighted as an ideal medium through which formative assessment practices arise. Whilst the advantages of greater interaction between students and lecturers in classes are numerous, there are often clear disadvantages associated with the independent home-study component that complements timetabled sessions in a flipped classroom setting, specifically, the popular method of replacing traditional classroom teaching with video lectures. This leads to a clear lack of assurances that the cited benefits of a flipped classroom approach are echoed in the home-study arena. Over the past three years, the authors have sought to address identified deficiencies in this area of blended learning through the development of database-driven e-learning software with the capability of introducing formative assessment practices to independent home-study. This paper maps out aspects of two specific evolving practices at separate institutions, from which guiding principles of incorporating formative assessment aspects into e-learning software are identified and highlighted in the context of independent home-study as part of a flipped classroom approach.

Learning to identify contrast-defined letters in peripheral vision

PubMed Central

Chung, Susana T.L.; Levi, Dennis M.; Li, Roger W.

2009-01-01

Performance for identifying luminance-defined letters in peripheral vision improves with training. The purpose of the present study was to examine whether performance for identifying contrast-defined letters also improves with training in peripheral vision, and whether any improvement transfers to luminance-defined letters. Eight observers were trained to identify contrast-defined letters presented singly at 10° eccentricity in the inferior visual field. Before and after training, we measured observers’ thresholds for identifying luminance-defined and contrast-defined letters, embedded within a field of white luminance noise (maximum luminance contrast = 0, 0.25, and 0.5), at the same eccentric location. Each training session consisted of 10 blocks (100 trials per block) of identifying contrast-defined letters at a background noise contrast of 0.5. Letters (x-height = 4.2°) were the 26 lowercase letters of the Times-Roman alphabet. Luminance-defined letters were generated by introducing a luminance difference between the stimulus letter and its mid-gray background. The background noise covered both the letter and its background. Contrast-defined letters were generated by introducing a differential noise contrast between the group of pixels that made up the stimulus letter and the group of pixels that made up the background. Following training, observers showed a significant reduction in threshold for identifying contrast-defined letters (p < 0.0001). Averaged across observers and background noise contrasts, the reduction was 25.8%, with the greatest reduction (32%) occurring at the trained background noise contrast. There was virtually no transfer of improvement to luminance-defined letters, or to an untrained letter size (2× original), or an untrained retinal location (10° superior field). In contrast, learning transferred completely to the untrained contralateral eye. Our results show that training improves performance for identifying contrast-defined letters in peripheral vision. This perceptual learning effect seems to be stimulus-specific, as it shows no transfer to the identification of luminance-defined letters. The complete interocular transfer, and the retinotopic (retinal location) and size specificity of the learning effect are consistent with the properties of neurons in early visual area V2. PMID:16337252

Cognitive profiles in bilingual children born to immigrant parents and Italian monolingual native children with specific learning disorders.

PubMed

Riva, Anna; Nacinovich, Renata; Bertuletti, Nadia; Montrasi, Valentina; Marchetti, Sara; Neri, Francesca; Bomba, Monica

2017-01-01

The aim of this study is to compare the Wechsler Intelligence Scale for Children ® - fourth edition IV (WISC IV) intellectual profile of two groups of children with specific learning disorder, a group of bilingual children and a group of monolingual Italian children, in order to identify possible significant differences between them. A group of 48 bilingual children and a group of 48 Italian monolingual children were included in this study. A preliminary comparison showed the homogeneity of the two groups regarding learning disorder typology and sociodemographic characteristics (age at WISC IV assessment, sex and years of education in Italy) with the exception of socioeconomic status. Socioeconomic status was then used as a covariate in the analysis. Even if the two groups were comparable in specific learning disorder severity and, in particular, in the text comprehension performance, our findings showed that the WISC IV performances of the bilingual group were significantly worse than the Italian group in Full Scale Intelligence Quotient ( P =0.03), in General Ability Index ( P =0.03), in Working Memory Index ( P =0.009) and in some subtests and clusters requiring advanced linguistic abilities. These results support the hypothesis of a weakness in metalinguistic abilities in bilingual children with specific learning disorders than monolinguals. If confirmed, this result must be considered in the rehabilitation treatment.

Visual Place Learning in Drosophila melanogaster

PubMed Central

Ofstad, Tyler A.; Zuker, Charles S.; Reiser, Michael B.

2011-01-01

The ability of insects to learn and navigate to specific locations in the environment has fascinated naturalists for decades. While the impressive navigation abilities of ants, bees, wasps, and other insects clearly demonstrate that insects are capable of visual place learning1–4, little is known about the underlying neural circuits that mediate these behaviors. Drosophila melanogaster is a powerful model organism for dissecting the neural circuitry underlying complex behaviors, from sensory perception to learning and memory. Flies can identify and remember visual features such as size, color, and contour orientation5, 6. However, the extent to which they use vision to recall specific locations remains unclear. Here we describe a visual place-learning platform and demonstrate that Drosophila are capable of forming and retaining visual place memories to guide selective navigation. By targeted genetic silencing of small subsets of cells in the Drosophila brain we show that neurons in the ellipsoid body, but not in the mushroom bodies, are necessary for visual place learning. Together, these studies reveal distinct neuroanatomical substrates for spatial versus non-spatial learning, and substantiate Drosophila as a powerful model for the study of spatial memories. PMID:21654803

Applications for the MATILDA robotic platform

NASA Astrophysics Data System (ADS)

Munkeby, Steve H.; Jones, Don; Bugg, George; Smith, Kathryn

2002-07-01

Most robotic platforms have, up to this point, been designed with emphasis placed on improving mobility technologies. Minimal emphasis has been placed on payloads and mission execution. Using a top-down approach, Mesa Associates, Inc. identified specific UGV mission applications and structured its MATILDA platform using these applications for vehicle mobility and motion control requirements. Specific applications identified for the MATILDA platform include: Target surveillance, explosive device neutralization, material pickup and transport, weapon transport and firing, and law enforcement. Current performance results, lessons-learned, technical hurdles, and future applications are examined.

GeoSegmenter: A statistically learned Chinese word segmenter for the geoscience domain

NASA Astrophysics Data System (ADS)

Huang, Lan; Du, Youfu; Chen, Gongyang

2015-03-01

Unlike English, the Chinese language has no space between words. Segmenting texts into words, known as the Chinese word segmentation (CWS) problem, thus becomes a fundamental issue for processing Chinese documents and the first step in many text mining applications, including information retrieval, machine translation and knowledge acquisition. However, for the geoscience subject domain, the CWS problem remains unsolved. Although a generic segmenter can be applied to process geoscience documents, they lack the domain specific knowledge and consequently their segmentation accuracy drops dramatically. This motivated us to develop a segmenter specifically for the geoscience subject domain: the GeoSegmenter. We first proposed a generic two-step framework for domain specific CWS. Following this framework, we built GeoSegmenter using conditional random fields, a principled statistical framework for sequence learning. Specifically, GeoSegmenter first identifies general terms by using a generic baseline segmenter. Then it recognises geoscience terms by learning and applying a model that can transform the initial segmentation into the goal segmentation. Empirical experimental results on geoscience documents and benchmark datasets showed that GeoSegmenter could effectively recognise both geoscience terms and general terms.

Predicting High Imaging Utilization Based on Initial Radiology Reports: A Feasibility Study of Machine Learning.

PubMed

Hassanpour, Saeed; Langlotz, Curtis P

2016-01-01

Imaging utilization has significantly increased over the last two decades, and is only recently showing signs of moderating. To help healthcare providers identify patients at risk for high imaging utilization, we developed a prediction model to recognize high imaging utilizers based on their initial imaging reports. The prediction model uses a machine learning text classification framework. In this study, we used radiology reports from 18,384 patients with at least one abdomen computed tomography study in their imaging record at Stanford Health Care as the training set. We modeled the radiology reports in a vector space and trained a support vector machine classifier for this prediction task. We evaluated our model on a separate test set of 4791 patients. In addition to high prediction accuracy, in our method, we aimed at achieving high specificity to identify patients at high risk for high imaging utilization. Our results (accuracy: 94.0%, sensitivity: 74.4%, specificity: 97.9%, positive predictive value: 87.3%, negative predictive value: 95.1%) show that a prediction model can enable healthcare providers to identify in advance patients who are likely to be high utilizers of imaging services. Machine learning classifiers developed from narrative radiology reports are feasible methods to predict imaging utilization. Such systems can be used to identify high utilizers, inform future image ordering behavior, and encourage judicious use of imaging. Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Undergraduate allergy teaching in a UK medical school: comparison of the described and delivered curriculum.

PubMed

Shehata, Yasser; Ross, Michael; Sheikh, Aziz

2007-02-01

Concerns have been raised about the adequacy of allergy teaching in UK undergraduate medical curricula. Our previous work, which involved undertaking a systematic analysis of the documented curricular learning objectives relating to allergy teaching in a UK medical school, found references to allergy teaching in each of the five years of study but also identified some apparent omissions in allergy teaching. These may represent actual gaps in relation to allergy training, or alternatively may reflect dissonance between the described and delivered curricula. To compare the described and delivered undergraduate curricula on allergy and allergy-related topics in a UK medical school. We identified and e-mailed the individuals responsible for each of the 43 modules in the five-year undergraduate medical programme at the University of Edinburgh, enquiring about the delivery of allergy-related teaching within their modules. We then compared these responses with the results of the previous study mapping allergy-related teaching across the undergraduate curriculum. Fifty-one individuals were identified as being responsible for leading the 43 modules in the curriculum. Forty-nine (96%) of these module organisers responded to our enquiry; these individuals represented 41 of the 43 modules (95%). Module organisers reported that allergy-related teaching and learning was delivered in 14 modules (33%), was absent in 13 (30%) modules, and may occur to varying degrees within a further 10 (23%) modules. Module organisers' responses about the delivered curriculum on allergy were consistent with the findings from documented learning objectives in 21 (49%) modules. They also reported allergy teaching and learning in modules which had not been identified by examination of the learning objectives; however, there were still important gaps in the allergy-related curriculum. Information gathered from teaching staff confirms that specific teaching and learning on allergic disorders is currently being delivered in all five years of the undergraduate curriculum. However, comparison between the described and delivered curricula on allergy revealed discrepancies highlighting the complex nature of the undergraduate curriculum and the difficulties involved in mapping specific teaching themes within them. This assessment has revealed gaps in allergy training which need to be addressed.

Can active learning principles be applied to the bioscience assessments of nursing students? A review of the literature.

PubMed

Bakon, Shannon; Craft, Judy; Christensen, Martin; Wirihana, Lisa

2016-02-01

To explore if active learning principles be applied to nursing bioscience assessments and will this influence student perception of confidence in applying theory to practice? A review of the literature utilising searches of various databases including CINAHL, PUBMED, Google Scholar and Mosby's Journal Index. The literature search identified research from twenty-six original articles, two electronic books, one published book and one conference proceedings paper. Bioscience has been identified as an area that nurses struggle to learn in tertiary institutions and then apply to clinical practice. A number of problems have been identified and explored that may contribute to this poor understanding and retention. University academics need to be knowledgeable of innovative teaching and assessing modalities that focus on enhancing student learning and address the integration issues associated with the theory practice gap. Increased bioscience education is associated with improved patient outcomes therefore by addressing this "bioscience problem" and improving the integration of bioscience in clinical practice there will subsequently be an improvement in health care outcomes. From the literature several themes were identified. First there are many problems with teaching nursing students bioscience education. These include class sizes, motivation, concentration, delivery mode, lecturer perspectives, student's previous knowledge, anxiety, and a lack of confidence. Among these influences the type of assessment employed by the educator has not been explored or identified as a contributor to student learning specifically in nursing bioscience instruction. Second that educating could be achieved more effectively if active learning principles were applied and the needs and expectations of the student were met. Lastly, assessment influences student retention and the student experience and as such assessment should be congruent with the subject content, align with the learning objectives and be used as a stimulus tool for learning. Copyright © 2015 Elsevier Ltd. All rights reserved.

The effect of emotion regulation training in decreasing emotion failures and self-injurious behaviors among students suffering from specific learning disorder (SLD).

PubMed

Habibzadeh, Abbas; Pourabdol, Saeed; Saravani, Shahzad

2015-01-01

A great deal of attention has been given to the study of learning disorders. Hence, the aim of this research was to study the effect of emotion regulation training in decreasing emotion failures and self-injurious behaviors among students suffering from specific learning disorder. This was an experimental study with the pre-test, post-test and a control group. Research population included all 5th grade male students suffering from specific learning disorder (case study: 5th grade students in Ardabil in 2015). Research sample included 40 male students suffering from specific learning disorder (SLD) who were selected through multi-step cluster sampling and classified into two groups: Experimental group (n= 20) and control group (n= 20). The following tools were used for data collection: Kay Math mathematic Test, Raven Intelligence Test, Reading Test of Shafiei et al, Falahchay Writing Expression, Emotion Failures Scale, Self-Injurious Behavior Questionnaire and Diagnostic Interview based on DSM-5. Data were analyzed by multivariate of variance analysis (MANOVA) model in the SPSS software version 22. The results of MANOVA revealed that emotion regulation training was effective in decreasing emotion failures in all parameters (difficulty in describing feelings, difficulty in identifying feelings, and externally oriented thinking style) and self-injurious behaviors in students suffering from specific learning disorder (p< 0.001). In this study, it was found that since emotion regulation training can have a remarkable effect on reducing negative emotions and increasing the positive ones; this treatment can play an eminent role in decreasing emotion failures and self-injurious behaviors in such students.

Consequences, Characteristics, and Causes of Mathematical Learning Disabilities and Persistent Low Achievement in Mathematics

PubMed Central

Geary, David C.

2011-01-01

Objective The goals of the review are threefold; a) to highlight the educational and employment consequences of poorly developed mathematical competencies; b) overview the characteristics of the children with persistently low achievement in mathematics; and c) provide a primer on cognitive science research that is aimed at identifying the cognitive mechanisms underlying these learning disabilities and associated cognitive interventions. Method Literatures on the educational and economic consequences of poor mathematics achievement were reviewed and integrated with reviews of epidemiological, behavioral genetic, and cognitive science studies of poor mathematics achievement. Results Poor mathematical competencies are common among adults and result in employment difficulties and difficulties in many common day-to-day activities. Among students, about 7% of children and adolescents have a mathematical learning disability (MLD) and another 10% show persistent low achievement (LA) in mathematics despite average abilities in most other areas. Children with MLD and their LA peers have deficits in understanding and representing numerical magnitude, difficulties retrieving basic arithmetic facts from long-term memory, and delays in learning mathematical procedures. These deficits and delays cannot be attributed to intelligence, but are related to working memory deficits for children with MLD, but not LA children. Interventions that target these cognitive deficits are in development and preliminary results are promising. Conclusion Mathematical learning disabilities and learning difficulties associated with persistent low achievement in mathematics are common and not attributable to intelligence. These individuals have identifiable number and memory delays and deficits that appear to be specific to mathematics learning. The most promising interventions are those that target these specific deficits and, in addition, for children with MLD interventions that target their low working memory capacity. PMID:21285895

Pedagogical principles underpinning undergraduate Nurse Education in the UK: A review.

PubMed

Mackintosh-Franklin, Carolyn

2016-05-01

This review provides a contextual report of the current use of pedagogy in undergraduate nursing programmes run by Higher Education Institutes (HEIs) in the United Kingdom (UK). Pedagogy provides the framework for educators to add shape and structure to the educational process, and to support student learning and programme development. Traditionally nurse education has used a behaviourist approach focusing on learning outcomes and competency based education, although there is also increasing support for the cognitive/student learning focused pedagogic approach. The keywords andragogy, pedagogy and student centred learning were used in a systematic stepwise descriptive content analysis of the programme specifications and programme handbooks of 40 current undergraduate programme documents, leading to an undergraduate award and professional registration as a nurse. 42% (17) of documents contained reference to the words, pedagogy and student centred learning, whilst no documents used the word andragogy. Where identified, pedagogy was used in a superficial manner, with only three documents identifying a specific pedagogical philosophy: one HEI citing a value based curriculum and two HEIs referencing social constructionism. Nine HEIs made reference to student centred learning but with no additional pedagogic information. A review of teaching, learning and assessment strategies indicated no difference between the documented strategies used by HEIs when comparing those with an espoused pedagogy and those without. Although educational literature supports the use of pedagogic principles in curriculum design, this is not explicit in undergraduate nursing programme documentation, and suggests that nurse educators do not view pedagogy as important to their programmes. Instead programmes appear to be developed based on operational and functional requirements with a focus on acquisition of knowledge and skills, and the fitness to practice of graduates entering the nursing workforce. Copyright © 2016 Elsevier Ltd. All rights reserved.

Convergent transcriptional specializations in the brains of humans and song-learning birds

PubMed Central

Pfenning, Andreas R.; Hara, Erina; Whitney, Osceola; Rivas, Miriam V.; Wang, Rui; Roulhac, Petra L.; Howard, Jason T.; Wirthlin, Morgan; Lovell, Peter V.; Ganapathy, Ganeshkumar; Mouncastle, Jacquelyn; Moseley, M. Arthur; Thompson, J. Will; Soderblom, Erik J.; Iriki, Atsushi; Kato, Masaki; Gilbert, M. Thomas P.; Zhang, Guojie; Bakken, Trygve; Bongaarts, Angie; Bernard, Amy; Lein, Ed; Mello, Claudio V.; Hartemink, Alexander J.; Jarvis, Erich D.

2015-01-01

Song-learning birds and humans share independently evolved similarities in brain pathways for vocal learning that are essential for song and speech and are not found in most other species. Comparisons of brain transcriptomes of song-learning birds and humans relative to vocal nonlearners identified convergent gene expression specializations in specific song and speech brain regions of avian vocal learners and humans. The strongest shared profiles relate bird motor and striatal song-learning nuclei, respectively, with human laryngeal motor cortex and parts of the striatum that control speech production and learning. Most of the associated genes function in motor control and brain connectivity. Thus, convergent behavior and neural connectivity for a complex trait are associated with convergent specialized expression of multiple genes. PMID:25504733

Race to the Top. Ohio Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of Ohio's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Prior to the first year of its Race to the Top grant, Ohio revised some Ohio Department of Education (ODE) job…

Race to the Top. North Carolina Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of North Carolina's annual Race to the Top implementation. The Year 3 report for Phase 1 and 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2012 through September 2013. In Year 3,…

Race to the Top. New York Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of the New York's annual Race to the Top implementation. The Year 3 report for Phase 1 and 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2012 through September 2013. In Year 3, the…

Race to the Top. Florida Report. Year 1: School Year 2010-2011. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2012

2012-01-01

This State-specific summary report serves as an assessment of Florida's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Florida received a Race to the Top award in September 2010 as part of Phase 2 of the Race to the Top…

Race to the Top. District of Columbia Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of the District of Columbia's annual Race to the Top implementation. The Year 3 report for Phase 1 and 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2012 through September 2013. In…

Race to the Top. Hawaii Report. Year 3: School Year 2012-2013. [State-Specific Summary Report

ERIC Educational Resources Information Center

US Department of Education, 2014

2014-01-01

This State-specific summary report serves as an assessment of Hawaii's Year 3 Race to the Top implementation. The Year 3 report for Phase 1 and 2 grantees highlights successes and accomplishments, identifies challenges, and provides lessons learned from implementation from approximately September 2012 through September 2013; the Year 2 report for…

Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective

PubMed Central

Botvinick, Matthew M.; Niv, Yael; Barto, Andrew C.

2009-01-01

Research on human and animal behavior has long emphasized its hierarchical structure — the divisibility of ongoing behavior into discrete tasks, which are comprised of subtask sequences, which in turn are built of simple actions. The hierarchical structure of behavior has also been of enduring interest within neuroscience, where it has been widely considered to reflect prefrontal cortical functions. In this paper, we reexamine behavioral hierarchy and its neural substrates from the point of view of recent developments in computational reinforcement learning. Specifically, we consider a set of approaches known collectively as hierarchical reinforcement learning, which extend the reinforcement learning paradigm by allowing the learning agent to aggregate actions into reusable subroutines or skills. A close look at the components of hierarchical reinforcement learning suggests how they might map onto neural structures, in particular regions within the dorsolateral and orbital prefrontal cortex. It also suggests specific ways in which hierarchical reinforcement learning might provide a complement to existing psychological models of hierarchically structured behavior. A particularly important question that hierarchical reinforcement learning brings to the fore is that of how learning identifies new action routines that are likely to provide useful building blocks in solving a wide range of future problems. Here and at many other points, hierarchical reinforcement learning offers an appealing framework for investigating the computational and neural underpinnings of hierarchically structured behavior. PMID:18926527

Interactive Book Reading to Accelerate Word Learning by Kindergarten Children With Specific Language Impairment: Identifying Adequate Progress and Successful Learning Patterns.

PubMed

Storkel, Holly L; Komesidou, Rouzana; Fleming, Kandace K; Romine, Rebecca Swinburne

2017-04-20

The goal of this study was to provide guidance to clinicians on early benchmarks of successful word learning in an interactive book reading treatment and to examine how encoding and memory evolution during treatment contribute to word learning outcomes by kindergarten children with specific language impairment (SLI). Twenty-seven kindergarten children with SLI participated in a preliminary clinical trial using interactive book reading to teach 30 new words. Word learning was assessed at 4 points during treatment through a picture naming test. The results indicate that the following performance during treatment was cause for concern, indicating a need to modify the treatment: naming 0-1 treated words correctly at Naming Test 1; naming 0-2 treated words correctly at Naming Test 2; naming 0-3 treated words correctly at Naming Test 3. In addition, the results showed that encoding was the primary limiting factor in word learning, but rmemory evolution also contributed (albeit to a lesser degree) to word learning success. Case illustrations demonstrate how a clinician's understanding of a child's word learning strengths and weaknesses develop over the course of treatment, substantiating the importance of regular data collection and clinical decision-making to ensure the best possible outcomes for each individual child.

"Decisions, decisions, decisions": transfer and specificity of decision-making skill between sports.

PubMed

Causer, Joe; Ford, Paul R

2014-08-01

The concept of transfer of learning holds that previous practice or experience in one task or domain will enable successful performance in another related task or domain. In contrast, specificity of learning holds that previous practice or experience in one task or domain does not transfer to other related tasks or domains. The aim of the current study is to examine whether decision-making skill transfers between sports that share similar elements, or whether it is specific to a sport. Participants (n = 205) completed a video-based temporal occlusion decision-making test in which they were required to decide on which action to execute across a series of 4 versus 4 soccer game situations. A sport engagement questionnaire was used to identify 106 soccer players, 43 other invasion sport players and 58 other sport players. Positive transfer of decision-making skill occurred between soccer and other invasion sports, which are related and have similar elements, but not from volleyball, supporting the concept of transfer of learning.

Quantitative Predictive Models for Systemic Toxicity (SOT)

EPA Science Inventory

Models to identify systemic and specific target organ toxicity were developed to help transition the field of toxicology towards computational models. By leveraging multiple data sources to incorporate read-across and machine learning approaches, a quantitative model of systemic ...

An Introduction to Job Analysis

ERIC Educational Resources Information Center

Boydell, T. H.

1970-01-01

Job training involves preparing a job description and specification, and, if necessary, further analyses of skills, knowledge, and attitudes in order to identify areas of difficulty which will affect the choice of what must be learned and appropriate training techniques. (DM)

New Learning Technologies and Media in Quebec: Profile and Positioning of the Main Stakeholders = Portrait et positionnement des intervenants en nouvelles technologies et nouveaux medias d'apprentissage au Quebec.

ERIC Educational Resources Information Center

Human Resources Development Canada, Hull (Quebec). Office of Learning Technologies.

This document is the product of a study that was conducted to identify the target audience of Canada's Office of Learning Technologies (OLT), determine which stakeholders should be involved in developing the OLT's action program; and recommend specific actions for the OLT to take. Chapter 1 provides an overview of the study methodology, which…

Evaluation of Machine Learning and Rules-Based Approaches for Predicting Antimicrobial Resistance Profiles in Gram-negative Bacilli from Whole Genome Sequence Data.

PubMed

Pesesky, Mitchell W; Hussain, Tahir; Wallace, Meghan; Patel, Sanket; Andleeb, Saadia; Burnham, Carey-Ann D; Dantas, Gautam

2016-01-01

The time-to-result for culture-based microorganism recovery and phenotypic antimicrobial susceptibility testing necessitates initial use of empiric (frequently broad-spectrum) antimicrobial therapy. If the empiric therapy is not optimal, this can lead to adverse patient outcomes and contribute to increasing antibiotic resistance in pathogens. New, more rapid technologies are emerging to meet this need. Many of these are based on identifying resistance genes, rather than directly assaying resistance phenotypes, and thus require interpretation to translate the genotype into treatment recommendations. These interpretations, like other parts of clinical diagnostic workflows, are likely to be increasingly automated in the future. We set out to evaluate the two major approaches that could be amenable to automation pipelines: rules-based methods and machine learning methods. The rules-based algorithm makes predictions based upon current, curated knowledge of Enterobacteriaceae resistance genes. The machine-learning algorithm predicts resistance and susceptibility based on a model built from a training set of variably resistant isolates. As our test set, we used whole genome sequence data from 78 clinical Enterobacteriaceae isolates, previously identified to represent a variety of phenotypes, from fully-susceptible to pan-resistant strains for the antibiotics tested. We tested three antibiotic resistance determinant databases for their utility in identifying the complete resistome for each isolate. The predictions of the rules-based and machine learning algorithms for these isolates were compared to results of phenotype-based diagnostics. The rules based and machine-learning predictions achieved agreement with standard-of-care phenotypic diagnostics of 89.0 and 90.3%, respectively, across twelve antibiotic agents from six major antibiotic classes. Several sources of disagreement between the algorithms were identified. Novel variants of known resistance factors and incomplete genome assembly confounded the rules-based algorithm, resulting in predictions based on gene family, rather than on knowledge of the specific variant found. Low-frequency resistance caused errors in the machine-learning algorithm because those genes were not seen or seen infrequently in the test set. We also identified an example of variability in the phenotype-based results that led to disagreement with both genotype-based methods. Genotype-based antimicrobial susceptibility testing shows great promise as a diagnostic tool, and we outline specific research goals to further refine this methodology.

Using targeted active-learning exercises and diagnostic question clusters to improve students' understanding of carbon cycling in ecosystems.

PubMed

Maskiewicz, April Cordero; Griscom, Heather Peckham; Welch, Nicole Turrill

2012-01-01

In this study, we used targeted active-learning activities to help students improve their ways of reasoning about carbon flow in ecosystems. The results of a validated ecology conceptual inventory (diagnostic question clusters [DQCs]) provided us with information about students' understanding of and reasoning about transformation of inorganic and organic carbon-containing compounds in biological systems. These results helped us identify specific active-learning exercises that would be responsive to students' existing knowledge. The effects of the active-learning interventions were then examined through analysis of students' pre- and postinstruction responses on the DQCs. The biology and non-biology majors participating in this study attended a range of institutions and the instructors varied in their use of active learning; one lecture-only comparison class was included. Changes in pre- to postinstruction scores on the DQCs showed that an instructor's teaching method had a highly significant effect on student reasoning following course instruction, especially for questions pertaining to cellular-level, carbon-transforming processes. We conclude that using targeted in-class activities had a beneficial effect on student learning regardless of major or class size, and argue that using diagnostic questions to identify effective learning activities is a valuable strategy for promoting learning, as gains from lecture-only classes were minimal.

Extrinsic feedback and upper limb motor skill learning in typically-developing children and children with cerebral palsy: Review.

PubMed

Robert, Maxime T; Sambasivan, Krithika; Levin, Mindy F

2017-01-01

Improvment of upper limb motor skills occurs through motor learning that can be enhanced by providing extrinsic feedback. Different types and frequencies of feedback are discussed but specific guidelines for use of feedback for motor learning in typically-developing (TD) children and children with Cerebral Palsy (CP) are not available. Identify the most effective modalities and frequencies of feedback for improving upper limb motor skills in TD children and children with CP. Ovid MEDLINE, Cochrane, PEDro and PubMed-NCBI were searched from 1950 to December 2015 to identify English-language articles addressing the role of extrinsic feedback on upper limb motor learning in TD children and children with CP. Nine studies were selected with a total of 243 TD children and 102 children with CP. Study quality was evaluated using the Downs and Black scale and levels of evidence were determined with Sackett's quality ratings. There was a lack of consistency in the modalities and frequencies of feedback delivery used to improve motor learning in TD children and in children with CP. Moreover, the complexity of the task to be learned influenced the degree of motor learning achieved. A better understanding of the influence of feedback on motor learning is needed to optimize motor skill acquisition in children with CP.

Using Targeted Active-Learning Exercises and Diagnostic Question Clusters to Improve Students' Understanding of Carbon Cycling in Ecosystems

PubMed Central

Maskiewicz, April Cordero; Griscom, Heather Peckham; Welch, Nicole Turrill

2012-01-01

In this study, we used targeted active-learning activities to help students improve their ways of reasoning about carbon flow in ecosystems. The results of a validated ecology conceptual inventory (diagnostic question clusters [DQCs]) provided us with information about students' understanding of and reasoning about transformation of inorganic and organic carbon-containing compounds in biological systems. These results helped us identify specific active-learning exercises that would be responsive to students' existing knowledge. The effects of the active-learning interventions were then examined through analysis of students' pre- and postinstruction responses on the DQCs. The biology and non–biology majors participating in this study attended a range of institutions and the instructors varied in their use of active learning; one lecture-only comparison class was included. Changes in pre- to postinstruction scores on the DQCs showed that an instructor's teaching method had a highly significant effect on student reasoning following course instruction, especially for questions pertaining to cellular-level, carbon-transforming processes. We conclude that using targeted in-class activities had a beneficial effect on student learning regardless of major or class size, and argue that using diagnostic questions to identify effective learning activities is a valuable strategy for promoting learning, as gains from lecture-only classes were minimal. PMID:22383618

Preoperative learning goals set by surgical residents and faculty.

PubMed

Pernar, Luise I M; Breen, Elizabeth; Ashley, Stanley W; Peyre, Sarah E

2011-09-01

The operating room (OR) remains the main teaching venue for surgical trainees. The OR is considered a pure-discovery learning environment; the downsides of this can be putatively overcome when faculty and trainee arrive at a shared understanding of learning. This study aimed to better understand preoperative learning goals to identify areas of commonalities and potential barrier to intraoperative teaching. Brief, structured preoperative interviews were conducted outside the OR with the resident and faculty member who were scheduled to operate together. Answers were analyzed and grouped using grounded theory. Twenty-seven resident-faculty pairs were interviewed. Nine residents (33.3%) were junior (PGY 1 and 2) and 18 (66.7%) were senior (PGY 3 through 5). Learning goal categories that emerged from the response analysis were anatomy, basic and advanced surgical skills, general and specific procedural tasks, technical autonomy, and pre-, intra-, and postoperative considerations. Residents articulated fewer learning goals than faculty (1.5 versus 2.4; P = 0.024). The most frequently identified learning goal by both groups was one classifiable under general procedural tasks; the greatest divergence was seen regarding perioperative considerations, which were identified frequently by faculty members but rarely by residents. Faculty articulate significantly more learning goals for the residents they will operate with than residents articulate for themselves. Our data suggest that residents and faculty align on some learning goals for the OR but residents tend to be more limited, focusing predominantly on technical aspects of the operation. Faculty members tend to hold a broader view of the learning potential of the OR. These discrepancies may present barriers to effective intraoperative teaching. Copyright © 2011 Elsevier Inc. All rights reserved.

Student-Valued Measurable Teaching Behaviors of Award-Winning Pharmacy Preceptors.

PubMed

O'Sullivan, Teresa A; Lau, Carmen; Patel, Mitul; Mac, Chi; Krueger, Janelle; Danielson, Jennifer; Weber, Stanley S

2015-12-25

To identify specific preceptor teaching-coaching, role modeling, and facilitating behaviors valued by pharmacy students and to develop measures of those behaviors that can be used for an experiential education quality assurance program. Using a qualitative research approach, we conducted a thematic analysis of student comments about excellent preceptors to identify behaviors exhibited by those preceptors. Identified behaviors were sorted according to the preceptor's role as role model, teacher/coach, or learning facilitator; measurable descriptors for each behavior were then developed. Data analysis resulted in identification of 15 measurable behavior themes, the most frequent being: having an interest in student learning and success, making time for students, and displaying a positive preceptor attitude. Measureable descriptors were developed for 5 role-modeling behaviors, 6 teaching-coaching behaviors, and 4 facilitating behaviors. Preceptors may need to be evaluated in their separate roles as teacher-coach, role model, and learning facilitator. The developed measures in this report could be used in site quality evaluation.

Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning.

PubMed

Jolles, Dietsje; Wassermann, Demian; Chokhani, Ritika; Richardson, Jennifer; Tenison, Caitlin; Bammer, Roland; Fuchs, Lynn; Supekar, Kaustubh; Menon, Vinod

2016-04-01

Plasticity of white matter tracts is thought to be essential for cognitive development and academic skill acquisition in children. However, a dearth of high-quality diffusion tensor imaging (DTI) data measuring longitudinal changes with learning, as well as methodological difficulties in multi-time point tract identification have limited our ability to investigate plasticity of specific white matter tracts. Here, we examine learning-related changes of white matter tracts innervating inferior parietal, prefrontal and temporal regions following an intense 2-month math tutoring program. DTI data were acquired from 18 third grade children, both before and after tutoring. A novel fiber tracking algorithm based on a White Matter Query Language (WMQL) was used to identify three sections of the superior longitudinal fasciculus (SLF) linking frontal and parietal (SLF-FP), parietal and temporal (SLF-PT) and frontal and temporal (SLF-FT) cortices, from which we created child-specific probabilistic maps. The SLF-FP, SLF-FT, and SLF-PT tracts identified with the WMQL method were highly reliable across the two time points and showed close correspondence to tracts previously described in adults. Notably, individual differences in behavioral gains after 2 months of tutoring were specifically correlated with plasticity in the left SLF-FT tract. Our results extend previous findings of individual differences in white matter integrity, and provide important new insights into white matter plasticity related to math learning in childhood. More generally, our quantitative approach will be useful for future studies examining longitudinal changes in white matter integrity associated with cognitive skill development.

Arc expression identifies the lateral amygdala fear memory trace

PubMed Central

Gouty-Colomer, L A; Hosseini, B; Marcelo, I M; Schreiber, J; Slump, D E; Yamaguchi, S; Houweling, A R; Jaarsma, D; Elgersma, Y; Kushner, S A

2016-01-01

Memories are encoded within sparsely distributed neuronal ensembles. However, the defining cellular properties of neurons within a memory trace remain incompletely understood. Using a fluorescence-based Arc reporter, we were able to visually identify the distinct subset of lateral amygdala (LA) neurons activated during auditory fear conditioning. We found that Arc-expressing neurons have enhanced intrinsic excitability and are preferentially recruited into newly encoded memory traces. Furthermore, synaptic potentiation of thalamic inputs to the LA during fear conditioning is learning-specific, postsynaptically mediated and highly localized to Arc-expressing neurons. Taken together, our findings validate the immediate-early gene Arc as a molecular marker for the LA neuronal ensemble recruited during fear learning. Moreover, these results establish a model of fear memory formation in which intrinsic excitability determines neuronal selection, whereas learning-related encoding is governed by synaptic plasticity. PMID:25802982

Conscious motor processing and movement self-consciousness: two dimensions of personality that influence laparoscopic training.

PubMed

Malhotra, Neha; Poolton, Jamie M; Wilson, Mark R; Fan, Joe K M; Masters, Rich S W

2014-01-01

Identifying personality factors that account for individual differences in surgical training and performance has practical implications for surgical education. Movement-specific reinvestment is a potentially relevant personality factor that has a moderating effect on laparoscopic performance under time pressure. Movement-specific reinvestment has 2 dimensions, which represent an individual's propensity to consciously control movements (conscious motor processing) or to consciously monitor their 'style' of movement (movement self-consciousness). This study aimed at investigating the moderating effects of the 2 dimensions of movement-specific reinvestment in the learning and updating (cross-handed technique) of laparoscopic skills. Medical students completed the Movement-Specific Reinvestment Scale, a psychometric assessment tool that evaluates the conscious motor processing and movement self-consciousness dimensions of movement-specific reinvestment. They were then trained to a criterion level of proficiency on a fundamental laparoscopic skills task and were tested on a novel cross-handed technique. Completion times were recorded for early-learning, late-learning, and cross-handed trials. Propensity for movement self-consciousness but not conscious motor processing was a significant predictor of task completion times both early (p = 0.036) and late (p = 0.002) in learning, but completion times during the cross-handed trials were predicted by the propensity for conscious motor processing (p = 0.04) rather than movement self-consciousness (p = 0.21). Higher propensity for movement self-consciousness is associated with slower performance times on novel and well-practiced laparoscopic tasks. For complex surgical techniques, however, conscious motor processing plays a more influential role in performance than movement self-consciousness. The findings imply that these 2 dimensions of movement-specific reinvestment have a differential influence in the learning and updating of laparoscopic skills. Copyright © 2014 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

PubMed Central

O’Connell, Grant C; Petrone, Ashley B; Treadway, Madison B; Tennant, Connie S; Lucke-Wold, Noelle; Chantler, Paul D; Barr, Taura L

2016-01-01

Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene expression in peripheral blood that could potentially be optimised to expedite the diagnosis of acute ischaemic stroke (AIS). A discovery cohort was recruited consisting of 39 AIS patients and 24 neurologically asymptomatic controls. Peripheral blood was sampled at emergency department admission, and genome-wide expression profiling was performed via microarray. A machine-learning technique known as genetic algorithm k-nearest neighbours (GA/kNN) was then used to identify a pattern of gene expression that could optimally discriminate between groups. This pattern of expression was then assessed via qRT-PCR in an independent validation cohort, where it was evaluated for its ability to discriminate between an additional 39 AIS patients and 30 neurologically asymptomatic controls, as well as 20 acute stroke mimics. GA/kNN identified 10 genes (ANTXR2, STK3, PDK4, CD163, MAL, GRAP, ID3, CTSZ, KIF1B and PLXDC2) whose coordinate pattern of expression was able to identify 98.4% of discovery cohort subjects correctly (97.4% sensitive, 100% specific). In the validation cohort, the expression levels of the same 10 genes were able to identify 95.6% of subjects correctly when comparing AIS patients to asymptomatic controls (92.3% sensitive, 100% specific), and 94.9% of subjects correctly when comparing AIS patients with stroke mimics (97.4% sensitive, 90.0% specific). The transcriptional pattern identified in this study shows strong diagnostic potential, and warrants further evaluation to determine its true clinical efficacy. PMID:29263821

Evaluating PLATO: postgraduate teaching and learning online.

PubMed

Brown, Menna; Bullock, Alison

2014-02-01

  The use of the Internet as a teaching medium has increased rapidly over the last decade. PLATO (postgraduate learning and teaching online) was launched in 2008 by the e-learning unit (ELU) of Wales Deanery. Located within Learning@NHSWales, a Moodle virtual learning environment (VLE), it hosts a wide range of freely available courses and resources tailored to support the education, training and continuing professional development (CPD) needs of health care professionals working across the National Health Service (NHS) Wales. The evaluation aimed to identify the costs and benefits of PLATO, report its value as attributed by users, identify potential cost savings and make recommendations.   Five courses (case studies) were selected, representing the range of available e-learning resources: e-induction; fetal heart monitoring; cervical screening; GP prospective trainers; and tools for trainers. Mixed methods were used: one-to-one qualitative interviews, focus group discussions and surveys explored user views, and identified individual and organisational value.   Qualitative findings identified six key areas of value for users: ELU support and guidance; avoidance of duplication and standardisation; central reference; local control; flexibility for learners; and specific features. Survey results (n=72) indicated 72 per cent of consultants reported that PLATO was easy to access and user friendly. E-learning was rated as 'very/important' for CPD by 79 per cent of respondents. Key challenges were: access, navigation, user concerns, awareness and support.   PLATO supports education and helps deliver UK General Medical Council standards. Future plans should address the suggested recommendations to realise cost savings for NHS Wales and the Wales Deanery. The findings have wider applicability to others developing or using VLEs. © 2014 John Wiley & Sons Ltd.

Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

PubMed

Ogunyemi, Omolola; Kermah, Dulcie

2015-01-01

Annual eye examinations are recommended for diabetic patients in order to detect diabetic retinopathy and other eye conditions that arise from diabetes. Medically underserved urban communities in the US have annual screening rates that are much lower than the national average and could benefit from informatics approaches to identify unscreened patients most at risk of developing retinopathy. Using clinical data from urban safety net clinics as well as public health data from the CDC's National Health and Nutrition Examination Survey, we examined different machine learning approaches for predicting retinopathy from clinical or public health data. All datasets utilized exhibited a class imbalance. Classifiers learned on the clinical data were modestly predictive of retinopathy with the best model having an AUC of 0.72, sensitivity of 69.2% and specificity of 55.9%. Classifiers learned on public health data were not predictive of retinopathy. Successful approaches to detecting latent retinopathy using machine learning could help safety net and other clinics identify unscreened patients who are most at risk of developing retinopathy and the use of ensemble classifiers on clinical data shows promise for this purpose.

A general framework to learn surrogate relevance criterion for atlas based image segmentation

NASA Astrophysics Data System (ADS)

Zhao, Tingting; Ruan, Dan

2016-09-01

Multi-atlas based image segmentation sees great opportunities in the big data era but also faces unprecedented challenges in identifying positive contributors from extensive heterogeneous data. To assess data relevance, image similarity criteria based on various image features widely serve as surrogates for the inaccessible geometric agreement criteria. This paper proposes a general framework to learn image based surrogate relevance criteria to better mimic the behaviors of segmentation based oracle geometric relevance. The validity of its general rationale is verified in the specific context of fusion set selection for image segmentation. More specifically, we first present a unified formulation for surrogate relevance criteria and model the neighborhood relationship among atlases based on the oracle relevance knowledge. Surrogates are then trained to be small for geometrically relevant neighbors and large for irrelevant remotes to the given targets. The proposed surrogate learning framework is verified in corpus callosum segmentation. The learned surrogates demonstrate superiority in inferring the underlying oracle value and selecting relevant fusion set, compared to benchmark surrogates.

Clinical Growth: An Evolutionary Concept Analysis.

PubMed

Barkimer, Jessica

2016-01-01

Clinical growth is an essential component of nursing education, although challenging to evaluate. Considering the paradigm shift toward constructivism and student-centered learning, clinical growth requires an examination within contemporary practices. A concept analysis of clinical growth in nursing education produced defining attributes, antecedents, and consequences. Attributes included higher-level thinking, socialization, skill development, self-reflection, self-investment, interpersonal communication, and linking theory to practice. Identification of critical attributes allows educators to adapt to student-centered learning in the clinical environment. These findings allow educators to determine significant research questions, develop situation-specific theories, and identify strategies to enhance student learning in the clinical environment.

34 CFR 300.306 - Determination of eligibility.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 61307, Oct. 30, 2007] Additional Procedures for Identifying Children With Specific Learning Disabilities ... CHILDREN WITH DISABILITIES Evaluations, Eligibility Determinations, Individualized Education Programs, and... professionals and the parent of the child determines whether the child is a child with a disability, as defined...

34 CFR 300.306 - Determination of eligibility.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 61307, Oct. 30, 2007] Additional Procedures for Identifying Children With Specific Learning Disabilities ... CHILDREN WITH DISABILITIES Evaluations, Eligibility Determinations, Individualized Education Programs, and... professionals and the parent of the child determines whether the child is a child with a disability, as defined...

34 CFR 300.306 - Determination of eligibility.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 61307, Oct. 30, 2007] Additional Procedures for Identifying Children With Specific Learning Disabilities ... CHILDREN WITH DISABILITIES Evaluations, Eligibility Determinations, Individualized Education Programs, and... professionals and the parent of the child determines whether the child is a child with a disability, as defined...

34 CFR 300.306 - Determination of eligibility.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 61307, Oct. 30, 2007] Additional Procedures for Identifying Children With Specific Learning Disabilities ... CHILDREN WITH DISABILITIES Evaluations, Eligibility Determinations, Individualized Education Programs, and... professionals and the parent of the child determines whether the child is a child with a disability, as defined...

Machine Learning Analysis Identifies Drosophila Grunge/Atrophin as an Important Learning and Memory Gene Required for Memory Retention and Social Learning.

PubMed

Kacsoh, Balint Z; Greene, Casey S; Bosco, Giovanni

2017-11-06

High-throughput experiments are becoming increasingly common, and scientists must balance hypothesis-driven experiments with genome-wide data acquisition. We sought to predict novel genes involved in Drosophila learning and long-term memory from existing public high-throughput data. We performed an analysis using PILGRM, which analyzes public gene expression compendia using machine learning. We evaluated the top prediction alongside genes involved in learning and memory in IMP, an interface for functional relationship networks. We identified Grunge/Atrophin ( Gug/Atro ), a transcriptional repressor, histone deacetylase, as our top candidate. We find, through multiple, distinct assays, that Gug has an active role as a modulator of memory retention in the fly and its function is required in the adult mushroom body. Depletion of Gug specifically in neurons of the adult mushroom body, after cell division and neuronal development is complete, suggests that Gug function is important for memory retention through regulation of neuronal activity, and not by altering neurodevelopment. Our study provides a previously uncharacterized role for Gug as a possible regulator of neuronal plasticity at the interface of memory retention and memory extinction. Copyright © 2017 Kacsoh et al.

Computer-based teaching module design: principles derived from learning theories.

PubMed

Lau, K H Vincent

2014-03-01

The computer-based teaching module (CBTM), which has recently gained prominence in medical education, is a teaching format in which a multimedia program serves as a single source for knowledge acquisition rather than playing an adjunctive role as it does in computer-assisted learning (CAL). Despite empirical validation in the past decade, there is limited research into the optimisation of CBTM design. This review aims to summarise research in classic and modern multimedia-specific learning theories applied to computer learning, and to collapse the findings into a set of design principles to guide the development of CBTMs. Scopus was searched for: (i) studies of classic cognitivism, constructivism and behaviourism theories (search terms: 'cognitive theory' OR 'constructivism theory' OR 'behaviourism theory' AND 'e-learning' OR 'web-based learning') and their sub-theories applied to computer learning, and (ii) recent studies of modern learning theories applied to computer learning (search terms: 'learning theory' AND 'e-learning' OR 'web-based learning') for articles published between 1990 and 2012. The first search identified 29 studies, dominated in topic by the cognitive load, elaboration and scaffolding theories. The second search identified 139 studies, with diverse topics in connectivism, discovery and technical scaffolding. Based on their relative representation in the literature, the applications of these theories were collapsed into a list of CBTM design principles. Ten principles were identified and categorised into three levels of design: the global level (managing objectives, framing, minimising technical load); the rhetoric level (optimising modality, making modality explicit, scaffolding, elaboration, spaced repeating), and the detail level (managing text, managing devices). This review examined the literature in the application of learning theories to CAL to develop a set of principles that guide CBTM design. Further research will enable educators to take advantage of this unique teaching format as it gains increasing importance in medical education. © 2014 John Wiley & Sons Ltd.

The surprisingly high human efficiency at learning to recognize faces

PubMed Central

Peterson, Matthew F.; Abbey, Craig K.; Eckstein, Miguel P.

2009-01-01

We investigated the ability of humans to optimize face recognition performance through rapid learning of individual relevant features. We created artificial faces with discriminating visual information heavily concentrated in single features (nose, eyes, chin or mouth). In each of 2500 learning blocks a feature was randomly selected and retained over the course of four trials, during which observers identified randomly sampled, noisy face images. Observers learned the discriminating feature through indirect feedback, leading to large performance gains. Performance was compared to a learning Bayesian ideal observer, resulting in unexpectedly high learning compared to previous studies with simpler stimuli. We explore various explanations and conclude that the higher learning measured with faces cannot be driven by adaptive eye movement strategies but can be mostly accounted for by suboptimalities in human face discrimination when observers are uncertain about the discriminating feature. We show that an initial bias of humans to use specific features to perform the task even though they are informed that each of four features is equally likely to be the discriminatory feature would lead to seemingly supra-optimal learning. We also examine the possibility of inefficient human integration of visual information across the spatially distributed facial features. Together, the results suggest that humans can show large performance improvement effects in discriminating faces as they learn to identify the feature containing the discriminatory information. PMID:19000918

Applying an alternative mathematics pedagogy for students with weak mathematics: meta-analysis of alternative pedagogies

NASA Astrophysics Data System (ADS)

Lake, Warren; Wallin, Margie; Woolcott, Geoff; Boyd, Wendy; Foster, Alan; Markopoulos, Christos; Boyd, William

2017-02-01

Student mathematics performance and the need for work-ready graduates to be mathematics-competent is a core issue for many universities. While both student and teacher are responsible for learning outcomes, there is a need to explicitly acknowledge the weak mathematics foundation of many university students. A systematic literature review was undertaken of identified innovations and/or interventions that may lead to improvement in student outcomes for university mathematics-based units of study. The review revealed the importance of understanding the foundations of student performance in higher education mathematics learning, especially in first year. Pre-university mathematics skills were identified as significant in student retention and mathematics success at university, and a specific focus on student pre-university mathematics skill level was found to be more effective in providing help, rather than simply focusing on a particular at-risk group. Diagnostics tools were found to be important in identifying (1) student background and (2) appropriate intervention. The studies highlighted the importance of appropriate and validated interventions in mathematics teaching and learning, and the need to improve the learning model for mathematics-based subjects, communication and technology innovations.

Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.

PubMed

Liu, Wenbo; Li, Ming; Yi, Li

2016-08-01

The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repeatedly discovered by previous research. The present study examined whether their face scanning patterns could be potentially useful to identify children with ASD by adopting the machine learning algorithm for the classification purpose. Particularly, we applied the machine learning method to analyze an eye movement dataset from a face recognition task [Yi et al., 2016], to classify children with and without ASD. We evaluated the performance of our model in terms of its accuracy, sensitivity, and specificity of classifying ASD. Results indicated promising evidence for applying the machine learning algorithm based on the face scanning patterns to identify children with ASD, with a maximum classification accuracy of 88.51%. Nevertheless, our study is still preliminary with some constraints that may apply in the clinical practice. Future research should shed light on further valuation of our method and contribute to the development of a multitask and multimodel approach to aid the process of early detection and diagnosis of ASD. Autism Res 2016, 9: 888-898. © 2016 International Society for Autism Research, Wiley Periodicals, Inc. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.

PORTAAL: A Classroom Observation Tool Assessing Evidence-Based Teaching Practices for Active Learning in Large Science, Technology, Engineering, and Mathematics Classes.

PubMed

Eddy, Sarah L; Converse, Mercedes; Wenderoth, Mary Pat

2015-01-01

There is extensive evidence that active learning works better than a completely passive lecture. Despite this evidence, adoption of these evidence-based teaching practices remains low. In this paper, we offer one tool to help faculty members implement active learning. This tool identifies 21 readily implemented elements that have been shown to increase student outcomes related to achievement, logic development, or other relevant learning goals with college-age students. Thus, this tool both clarifies the research-supported elements of best practices for instructor implementation of active learning in the classroom setting and measures instructors' alignment with these practices. We describe how we reviewed the discipline-based education research literature to identify best practices in active learning for adult learners in the classroom and used these results to develop an observation tool (Practical Observation Rubric To Assess Active Learning, or PORTAAL) that documents the extent to which instructors incorporate these practices into their classrooms. We then use PORTAAL to explore the classroom practices of 25 introductory biology instructors who employ some form of active learning. Overall, PORTAAL documents how well aligned classrooms are with research-supported best practices for active learning and provides specific feedback and guidance to instructors to allow them to identify what they do well and what could be improved. © 2015 S. L. Eddy et al. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Thermosensory Perceptual Learning Is Associated with Structural Brain Changes in Parietal–Opercular (SII) Cortex

PubMed Central

Mano, Hiroaki; Kawato, Mitsuo

2017-01-01

The location of a sensory cortex for temperature perception remains a topic of substantial debate. Both the parietal–opercular (SII) and posterior insula have been consistently implicated in thermosensory processing, but neither region has yet been identified as the locus of fine temperature discrimination. Using a perceptual learning paradigm in male and female humans, we show improvement in discrimination accuracy for subdegree changes in both warmth and cool detection over 5 d of repetitive training. We found that increases in discriminative accuracy were specific to the temperature (cold or warm) being trained. Using structural imaging to look for plastic changes associated with perceptual learning, we identified symmetrical increases in gray matter volume in the SII cortex. Furthermore, we observed distinct, adjacent regions for cold and warm discrimination, with cold discrimination having a more anterior locus than warm. The results suggest that thermosensory discrimination is supported by functionally and anatomically distinct temperature-specific modules in the SII cortex. SIGNIFICANCE STATEMENT We provide behavioral and neuroanatomical evidence that perceptual learning is possible within the temperature system. We show that structural plasticity localizes to parietal–opercular (SII), and not posterior insula, providing the best evidence to date resolving a longstanding debate about the location of putative “temperature cortex.” Furthermore, we show that cold and warm pathways are behaviorally and anatomically dissociable, suggesting that the temperature system has distinct temperature-dependent processing modules. PMID:28847806

Challenging clinical learning environments: experiences of undergraduate nursing students.

PubMed

O'Mara, Linda; McDonald, Jane; Gillespie, Mary; Brown, Helen; Miles, Lynn

2014-03-01

Clinical learning is an essential component of becoming a nurse. However at times, students report experiencing challenging clinical learning environments (CCLE), raising questions regarding the nature of a challenging clinical learning environment, its impact on students' learning and how students might respond within a CCLE. Using an Interpretive Descriptive study design, researchers held focus groups with 54 students from two Canadian sites, who self-identified as having experienced a CCLE. Students defined a CCLE as affected by relationships in the clinical area and by the context of their learning experiences. CCLE decreased students' learning opportunities and impacted on them as persons. As students determined which relationships were challenging, they tapped other resources and they used strategies to rebuilt, reframe, redirect and/or retreat relative to the specific challenge. Relationships also acted as buffers to unsupportive practice cultures. Implications for practice and research are addressed. Copyright © 2013 Elsevier Ltd. All rights reserved.

Trajectories of the home learning environment across the first 5 years: associations with children's vocabulary and literacy skills at prekindergarten.

PubMed

Rodriguez, Eileen T; Tamis-LeMonda, Catherine S

2011-01-01

Children's home learning environments were examined in a low-income sample of 1,852 children and families when children were 15, 25, 37, and 63 months. During home visits, children's participation in literacy activities, the quality of mothers' engagements with their children, and the availability of learning materials were assessed, yielding a total learning environment score at each age. At 63 months, children's vocabulary and literacy skills were assessed. Six learning environment trajectories were identified, including environments that were consistently low, environments that were consistently high, and environments characterized by varying patterns of change. The skills of children at the extremes of learning environment trajectories differed by more than 1 SD and the timing of learning experiences related to specific emerging skills. © 2011 The Authors. Child Development © 2011 Society for Research in Child Development, Inc.

Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.

PubMed

Hornbrook, Mark C; Goshen, Ran; Choman, Eran; O'Keeffe-Rosetti, Maureen; Kinar, Yaron; Liles, Elizabeth G; Rust, Kristal C

2017-10-01

Machine learning tools identify patients with blood counts indicating greater likelihood of colorectal cancer and warranting colonoscopy referral. To validate a machine learning colorectal cancer detection model on a US community-based insured adult population. Eligible colorectal cancer cases (439 females, 461 males) with complete blood counts before diagnosis were identified from Kaiser Permanente Northwest Region's Tumor Registry. Control patients (n = 9108) were randomly selected from KPNW's population who had no cancers, received at ≥1 blood count, had continuous enrollment from 180 days prior to the blood count through 24 months after the count, and were aged 40-89. For each control, one blood count was randomly selected as the pseudo-colorectal cancer diagnosis date for matching to cases, and assigned a "calendar year" based on the count date. For each calendar year, 18 controls were randomly selected to match the general enrollment's 10-year age groups and lengths of continuous enrollment. Prediction performance was evaluated by area under the curve, specificity, and odds ratios. Area under the receiver operating characteristics curve for detecting colorectal cancer was 0.80 ± 0.01. At 99% specificity, the odds ratio for association of a high-risk detection score with colorectal cancer was 34.7 (95% CI 28.9-40.4). The detection model had the highest accuracy in identifying right-sided colorectal cancers. ColonFlag ® identifies individuals with tenfold higher risk of undiagnosed colorectal cancer at curable stages (0/I/II), flags colorectal tumors 180-360 days prior to usual clinical diagnosis, and is more accurate at identifying right-sided (compared to left-sided) colorectal cancers.

Learning curve for laparoscopic Heller myotomy and Dor fundoplication for achalasia

PubMed Central

Omura, Nobuo; Tsuboi, Kazuto; Hoshino, Masato; Yamamoto, Seryung; Akimoto, Shunsuke; Masuda, Takahiro; Kashiwagi, Hideyuki; Yanaga, Katsuhiko

2017-01-01

Purpose Although laparoscopic Heller myotomy and Dor fundoplication (LHD) is widely performed to address achalasia, little is known about the learning curve for this technique. We assessed the learning curve for performing LHD. Methods Of the 514 cases with LHD performed between August 1994 and March 2016, the surgical outcomes of 463 cases were evaluated after excluding 50 cases with reduced port surgery and one case with the simultaneous performance of laparoscopic distal partial gastrectomy. A receiver operating characteristic (ROC) curve analysis was used to identify the cut-off value for the number of surgical experiences necessary to become proficient with LHD, which was defined as the completion of the learning curve. Results We defined the completion of the learning curve when the following 3 conditions were satisfied. 1) The operation time was less than 165 minutes. 2) There was no blood loss. 3) There was no intraoperative complication. In order to establish the appropriate number of surgical experiences required to complete the learning curve, the cut-off value was evaluated by using a ROC curve (AUC 0.717, p < 0.001). Finally, we identified the cut-off value as 16 surgical cases (sensitivity 0.706, specificity 0.646). Conclusion Learning curve seems to complete after performing 16 cases. PMID:28686640

What is the impact of professional learning on physical activity interventions among preschool children? A systematic review.

PubMed

Peden, M E; Okely, A D; Eady, M J; Jones, R A

2018-05-31

The purpose of this systematic review was to investigate professional learning models (length, mode, content) offered as part of objectively measured physical childcare-based interventions. A systematic review of eight electronic databases was conducted to June 2017. Only English, peer-reviewed studies that evaluated childcare-based physical activity interventions, incorporated professional learning and reported objectively measured physical activity were included. Study designs included randomized controlled trails, cluster randomized trials, experimental or pilot studies. The search identified 11 studies. Ten studies objectively measured physical activity using accelerometers; five studies used both accelerometer and direct observation tools and one study measured physical activity using direct observation only. Seven of these studies reported statistically significant intervention effects. Only six studies described all components of professional learning, but only two studies reported specific professional learning outcomes and physical activity outcomes. No patterns were identified between the length, mode and content of professional learning and children's physical activity outcomes in childcare settings. Educators play a critical role in modifying children's levels of physical activity in childcare settings. The findings of this review suggest that professional learning offered as part of a physical activity intervention that potentially impacts on children's physical activity outcomes remains under-reported. © 2018 World Obesity Federation.

Learning curve for laparoscopic Heller myotomy and Dor fundoplication for achalasia.

PubMed

Yano, Fumiaki; Omura, Nobuo; Tsuboi, Kazuto; Hoshino, Masato; Yamamoto, Seryung; Akimoto, Shunsuke; Masuda, Takahiro; Kashiwagi, Hideyuki; Yanaga, Katsuhiko

2017-01-01

Although laparoscopic Heller myotomy and Dor fundoplication (LHD) is widely performed to address achalasia, little is known about the learning curve for this technique. We assessed the learning curve for performing LHD. Of the 514 cases with LHD performed between August 1994 and March 2016, the surgical outcomes of 463 cases were evaluated after excluding 50 cases with reduced port surgery and one case with the simultaneous performance of laparoscopic distal partial gastrectomy. A receiver operating characteristic (ROC) curve analysis was used to identify the cut-off value for the number of surgical experiences necessary to become proficient with LHD, which was defined as the completion of the learning curve. We defined the completion of the learning curve when the following 3 conditions were satisfied. 1) The operation time was less than 165 minutes. 2) There was no blood loss. 3) There was no intraoperative complication. In order to establish the appropriate number of surgical experiences required to complete the learning curve, the cut-off value was evaluated by using a ROC curve (AUC 0.717, p < 0.001). Finally, we identified the cut-off value as 16 surgical cases (sensitivity 0.706, specificity 0.646). Learning curve seems to complete after performing 16 cases.

Filipino, Indonesian and Thai Listening Test Errors

ERIC Educational Resources Information Center

Castro, C. S.; And Others

1975-01-01

This article reports on a study to identify listening, and aural comprehension difficulties experienced by students of English, specifically RELC (Regional English Language Centre in Singapore) course members. The most critical errors are discussed and conclusions about foreign language learning are drawn. (CLK)

Technological Change and HRD. Symposium.

ERIC Educational Resources Information Center

2002

This document contains three papers from a symposium on technological change and human resource development. "New Technologies, Cognitive Demands, and the Implications for Learning Theory" (Richard J. Torraco) identifies four specific characteristics of the tasks involved in using new technologies (contingent versus deterministic tasks,…

Construction of teacher knowledge in context: Preparing elementary teachers to teach mathematics and science

NASA Astrophysics Data System (ADS)

Lowery, Maye Norene Vail

1998-12-01

The purposes of this study were to further the understanding of how preservice teacher construct teacher knowledge and pedagogical content knowledge of elementary mathematics and science and to determine the extent of that knowledge in a school-based setting. Preservice teachers, university instructors, inservice teachers, and other school personnel were involved in this context-specific study. Evidence of the preservice teachers' knowledge construction (its acquisition, its dimensions, and the social context) was collected through the use of a qualitative methodology. Collected data included individual and group interviews, course documents, artifacts, and preservice teaching portfolios. Innovative aspects of this integrated mathematics and science elementary methods course included standards-based instruction with immediate access to field experiences. Grade-level teams of preservice and inservice teachers planned and implemented lessons in mathematics and science for elementary students. An on-site, portable classroom building served as a mathematics and science teaching and learning laboratory. A four-stage analysis was performed, revealing significant patterns of learning. An ecosystem of learning within a constructivist learning environment was identified to contain three systems: the university system; the school system; and the cohort of learners system. A mega system for the construction of teacher knowledge was revealed in the final analysis. Learning venues were discovered to be the conduits of learning in a situated learning context. Analysis and synthesis of data revealed an extensive acquisition of teacher knowledge and pedagogical content knowledge through identified learning components. Patience, flexibility, and communication were identified as necessities for successful teaching. Learning components included: collaboration with inservice teachers; implementation of discovery learning and hands-on/minds-on learning; small groupwork; lesson planning; classroom management; and application of standards-based instruction. Prolonged, extensive classroom involvement provided familiarity with the ability levels of elementary students. Gains in positive attitudes and confidence in teaching mathematics and science were identified as direct results of this experience. This may be attributed to the immersion in the school-based setting (hands-on) and the standards-based approach (minds-on) methods course. The results are written in case study form using thick description with an emphasis on preservice teachers.

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

PubMed Central

Kai, Joe; Garibaldi, Jonathan M.; Qureshi, Nadeem

2017-01-01

Background Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploiting complex interactions between risk factors. We assessed whether machine-learning can improve cardiovascular risk prediction. Methods Prospective cohort study using routine clinical data of 378,256 patients from UK family practices, free from cardiovascular disease at outset. Four machine-learning algorithms (random forest, logistic regression, gradient boosting machines, neural networks) were compared to an established algorithm (American College of Cardiology guidelines) to predict first cardiovascular event over 10-years. Predictive accuracy was assessed by area under the ‘receiver operating curve’ (AUC); and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) to predict 7.5% cardiovascular risk (threshold for initiating statins). Findings 24,970 incident cardiovascular events (6.6%) occurred. Compared to the established risk prediction algorithm (AUC 0.728, 95% CI 0.723–0.735), machine-learning algorithms improved prediction: random forest +1.7% (AUC 0.745, 95% CI 0.739–0.750), logistic regression +3.2% (AUC 0.760, 95% CI 0.755–0.766), gradient boosting +3.3% (AUC 0.761, 95% CI 0.755–0.766), neural networks +3.6% (AUC 0.764, 95% CI 0.759–0.769). The highest achieving (neural networks) algorithm predicted 4,998/7,404 cases (sensitivity 67.5%, PPV 18.4%) and 53,458/75,585 non-cases (specificity 70.7%, NPV 95.7%), correctly predicting 355 (+7.6%) more patients who developed cardiovascular disease compared to the established algorithm. Conclusions Machine-learning significantly improves accuracy of cardiovascular risk prediction, increasing the number of patients identified who could benefit from preventive treatment, while avoiding unnecessary treatment of others. PMID:28376093

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

PubMed

Weng, Stephen F; Reps, Jenna; Kai, Joe; Garibaldi, Jonathan M; Qureshi, Nadeem

2017-01-01

Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. Machine-learning offers opportunity to improve accuracy by exploiting complex interactions between risk factors. We assessed whether machine-learning can improve cardiovascular risk prediction. Prospective cohort study using routine clinical data of 378,256 patients from UK family practices, free from cardiovascular disease at outset. Four machine-learning algorithms (random forest, logistic regression, gradient boosting machines, neural networks) were compared to an established algorithm (American College of Cardiology guidelines) to predict first cardiovascular event over 10-years. Predictive accuracy was assessed by area under the 'receiver operating curve' (AUC); and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) to predict 7.5% cardiovascular risk (threshold for initiating statins). 24,970 incident cardiovascular events (6.6%) occurred. Compared to the established risk prediction algorithm (AUC 0.728, 95% CI 0.723-0.735), machine-learning algorithms improved prediction: random forest +1.7% (AUC 0.745, 95% CI 0.739-0.750), logistic regression +3.2% (AUC 0.760, 95% CI 0.755-0.766), gradient boosting +3.3% (AUC 0.761, 95% CI 0.755-0.766), neural networks +3.6% (AUC 0.764, 95% CI 0.759-0.769). The highest achieving (neural networks) algorithm predicted 4,998/7,404 cases (sensitivity 67.5%, PPV 18.4%) and 53,458/75,585 non-cases (specificity 70.7%, NPV 95.7%), correctly predicting 355 (+7.6%) more patients who developed cardiovascular disease compared to the established algorithm. Machine-learning significantly improves accuracy of cardiovascular risk prediction, increasing the number of patients identified who could benefit from preventive treatment, while avoiding unnecessary treatment of others.

Folded concave penalized learning in identifying multimodal MRI marker for Parkinson’s disease

PubMed Central

Liu, Hongcheng; Du, Guangwei; Zhang, Lijun; Lewis, Mechelle M.; Wang, Xue; Yao, Tao; Li, Runze; Huang, Xuemei

2016-01-01

Background Brain MRI holds promise to gauge different aspects of Parkinson’s disease (PD)-related pathological changes. Its analysis, however, is hindered by the high-dimensional nature of the data. New method This study introduces folded concave penalized (FCP) sparse logistic regression to identify biomarkers for PD from a large number of potential factors. The proposed statistical procedures target the challenges of high-dimensionality with limited data samples acquired. The maximization problem associated with the sparse logistic regression model is solved by local linear approximation. The proposed procedures then are applied to the empirical analysis of multimodal MRI data. Results From 45 features, the proposed approach identified 15 MRI markers and the UPSIT, which are known to be clinically relevant to PD. By combining the MRI and clinical markers, we can enhance substantially the specificity and sensitivity of the model, as indicated by the ROC curves. Comparison to existing methods We compare the folded concave penalized learning scheme with both the Lasso penalized scheme and the principle component analysis-based feature selection (PCA) in the Parkinson’s biomarker identification problem that takes into account both the clinical features and MRI markers. The folded concave penalty method demonstrates a substantially better clinical potential than both the Lasso and PCA in terms of specificity and sensitivity. Conclusions For the first time, we applied the FCP learning method to MRI biomarker discovery in PD. The proposed approach successfully identified MRI markers that are clinically relevant. Combining these biomarkers with clinical features can substantially enhance performance. PMID:27102045

The Rey Auditory Verbal Learning Test forced-choice recognition task: Base-rate data and norms.

PubMed

Poreh, Amir; Bezdicek, Ondrej; Korobkova, Irina; Levin, Jennifer B; Dines, Philipp

2016-01-01

The present study describes a novel Forced-Choice Response (FCR) index for detecting poor effort on the Rey Auditory Verbal Learning Test (RAVLT). This retrospective study analyzes the performance of 4 groups on the new index: clinically referred patients with suspected dementia, forensic patients identified as not exhibiting adequate effort on other measures of response bias, students who simulated poor effort, and a large normative sample collected in the Gulf State of Oman. Using sensitivity and specificity analyses, the study shows that much like the California Verbal Learning Test-Second Edition FCR index, the RAVLT FCR index misses a proportion of individuals with inadequate effort (low sensitivity), but those who fail this measure are highly likely to be exhibiting poor effort (high specificity). The limitations and benefits of utilizing the RAVLT FCR index in clinical practice are discussed.

Movement Issues Identified in Movement ABC2 Checklist Parent Ratings for Students with Persisting Dysgraphia, Dyslexia, and OWL LD and Typical Literacy Learners.

PubMed

Nielsen, Kathleen; Henderson, Sheila; Barnett, Anna L; Abbott, Robert D; Berninger, Virginia

2018-01-01

Movement, which draws on motor skills and executive functions for managing them, plays an important role in literacy learning (e.g., movement of mouth during oral reading and movement of hand and fingers during writing); but relatively little research has focused on movement skills in students with specific learning disabilities as the current study did. Parents completed normed Movement Assessment Battery for Children Checklist, 2nd edition (ABC-2), ratings and their children in grades 4 to 9 ( M = 11 years, 11 months; 94 boys, 61 girls) completed diagnostic assessment used to assign them to diagnostic groups: control typical language learning ( N = 42), dysgraphia (impaired handwriting) ( N = 29), dyslexia (impaired word decoding/reading and spelling) ( N = 65), or oral and written language learning disability (OWL LD) (impaired syntax in oral and written language) ( N = 19). The research aims were to (a) correlate the Movement ABC-2 parent ratings for Scale A Static/Predictable Environment (15 items) and Scale B Dynamic/Unpredictable Environment (15 items) with reading and writing achievement in total sample varying within and across different skills; and (b) compare each specific learning disability group with the control group on Movement ABC-2 parent ratings for Scale A, Scale B, and Scale C Movement-Related (Non-Motor Executive Functions, or Self-Efficacy, or Affect) (13 items). At least one Movement ABC-2 parent rating was correlated with each assessed literacy achievement skill. Each of three specific learning disability groups differed from the control group on two Scale A (static/predictable environment) items (fastens buttons and forms letters with pencil or pen) and on three Scale C items (distractibility, overactive, and underestimates own ability); but only OWL LD differed from control on Scale B (dynamic/unpredictable environment) items. Applications of findings to assessment and instruction for students ascertained for and diagnosed with persisting specific learning disabilities in literacy learning, and future research directions are discussed.

Mathematical Learning Disabilities in Special Populations: Phenotypic Variation and Cross-Disorder Comparisons

PubMed Central

Dennis, Maureen; Berch, Daniel B.; Mazzocco, Michèle M.M.

2011-01-01

What is mathematical learning disability (MLD)? The reviews in this special issue adopt different approaches to defining the construct of MLD. Collectively, they demonstrate the current status of efforts to establish a consensus definition and the challenges faced in this endeavor. In this commentary, we reflect upon the proposed pathways to mathematical learning difficulties and disabilities presented across the reviews. Specifically we consider how each of the reviews contributes to identifying the MLD phenotype by specifying the range of assets and deficits in mathematics, identifying sources of individual variation, and characterizing the natural progression of MLD over the life course. We show how principled comparisons across disorders address issues about the cognitive and behavioral co-morbidities of MLD, and whether commonalities in brain dysmorphology are associated with common mathematics performance profiles. We project the status of MLD research ten years hence with respect to theoretical gains, advances in methodology, and principled intervention studies. PMID:19213019

Embedded sparse representation of fMRI data via group-wise dictionary optimization

NASA Astrophysics Data System (ADS)

Zhu, Dajiang; Lin, Binbin; Faskowitz, Joshua; Ye, Jieping; Thompson, Paul M.

2016-03-01

Sparse learning enables dimension reduction and efficient modeling of high dimensional signals and images, but it may need to be tailored to best suit specific applications and datasets. Here we used sparse learning to efficiently represent functional magnetic resonance imaging (fMRI) data from the human brain. We propose a novel embedded sparse representation (ESR), to identify the most consistent dictionary atoms across different brain datasets via an iterative group-wise dictionary optimization procedure. In this framework, we introduced additional criteria to make the learned dictionary atoms more consistent across different subjects. We successfully identified four common dictionary atoms that follow the external task stimuli with very high accuracy. After projecting the corresponding coefficient vectors back into the 3-D brain volume space, the spatial patterns are also consistent with traditional fMRI analysis results. Our framework reveals common features of brain activation in a population, as a new, efficient fMRI analysis method.

Interactive Book Reading to Accelerate Word Learning by Kindergarten Children With Specific Language Impairment: Identifying Adequate Progress and Successful Learning Patterns

PubMed Central

Komesidou, Rouzana; Fleming, Kandace K.; Romine, Rebecca Swinburne

2017-01-01

Purpose The goal of this study was to provide guidance to clinicians on early benchmarks of successful word learning in an interactive book reading treatment and to examine how encoding and memory evolution during treatment contribute to word learning outcomes by kindergarten children with specific language impairment (SLI). Method Twenty-seven kindergarten children with SLI participated in a preliminary clinical trial using interactive book reading to teach 30 new words. Word learning was assessed at 4 points during treatment through a picture naming test. Results The results indicate that the following performance during treatment was cause for concern, indicating a need to modify the treatment: naming 0–1 treated words correctly at Naming Test 1; naming 0–2 treated words correctly at Naming Test 2; naming 0–3 treated words correctly at Naming Test 3. In addition, the results showed that encoding was the primary limiting factor in word learning, but rmemory evolution also contributed (albeit to a lesser degree) to word learning success. Conclusion Case illustrations demonstrate how a clinician's understanding of a child's word learning strengths and weaknesses develop over the course of treatment, substantiating the importance of regular data collection and clinical decision-making to ensure the best possible outcomes for each individual child. PMID:28419188

Genetic neuroscience of mammalian learning and memory.

PubMed Central

Tonegawa, Susumu; Nakazawa, Kazu; Wilson, Matthew A

2003-01-01

Our primary research interest is to understand the molecular and cellular mechanisms on neuronal circuitry underlying the acquisition, consolidation and retrieval of hippocampus-dependent memory in rodents. We study these problems by producing genetically engineered (i.e. spatially targeted and/or temporally restricted) mice and analysing these mice by multifaceted methods including molecular and cellular biology, in vitro and in vivo physiology and behavioural studies. We attempt to identify deficits at each of the multiple levels of complexity in specific brain areas or cell types and deduce those deficits that underlie specific learning or memory. We will review our recent studies on the acquisition, consolidation and recall of memories that have been conducted with mouse strains in which genetic manipulations were targeted to specific types of cells in the hippocampus or forebrain of young adult mice. PMID:12740125

Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS) Severity

PubMed Central

Bosch-Bayard, Jorge; Galán-García, Lídice; Fernandez, Thalia; Lirio, Rolando B.; Bringas-Vega, Maria L.; Roca-Stappung, Milene; Ricardo-Garcell, Josefina; Harmony, Thalía; Valdes-Sosa, Pedro A.

2018-01-01

In this paper, we present a novel methodology to solve the classification problem, based on sparse (data-driven) regressions, combined with techniques for ensuring stability, especially useful for high-dimensional datasets and small samples number. The sensitivity and specificity of the classifiers are assessed by a stable ROC procedure, which uses a non-parametric algorithm for estimating the area under the ROC curve. This method allows assessing the performance of the classification by the ROC technique, when more than two groups are involved in the classification problem, i.e., when the gold standard is not binary. We apply this methodology to the EEG spectral signatures to find biomarkers that allow discriminating between (and predicting pertinence to) different subgroups of children diagnosed as Not Otherwise Specified Learning Disabilities (LD-NOS) disorder. Children with LD-NOS have notable learning difficulties, which affect education but are not able to be put into some specific category as reading (Dyslexia), Mathematics (Dyscalculia), or Writing (Dysgraphia). By using the EEG spectra, we aim to identify EEG patterns that may be related to specific learning disabilities in an individual case. This could be useful to develop subject-based methods of therapy, based on information provided by the EEG. Here we study 85 LD-NOS children, divided in three subgroups previously selected by a clustering technique over the scores of cognitive tests. The classification equation produced stable marginal areas under the ROC of 0.71 for discrimination between Group 1 vs. Group 2; 0.91 for Group 1 vs. Group 3; and 0.75 for Group 2 vs. Group1. A discussion of the EEG characteristics of each group related to the cognitive scores is also presented. PMID:29379411

Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS) Severity.

PubMed

Bosch-Bayard, Jorge; Galán-García, Lídice; Fernandez, Thalia; Lirio, Rolando B; Bringas-Vega, Maria L; Roca-Stappung, Milene; Ricardo-Garcell, Josefina; Harmony, Thalía; Valdes-Sosa, Pedro A

2017-01-01

In this paper, we present a novel methodology to solve the classification problem, based on sparse (data-driven) regressions, combined with techniques for ensuring stability, especially useful for high-dimensional datasets and small samples number. The sensitivity and specificity of the classifiers are assessed by a stable ROC procedure, which uses a non-parametric algorithm for estimating the area under the ROC curve. This method allows assessing the performance of the classification by the ROC technique, when more than two groups are involved in the classification problem, i.e., when the gold standard is not binary. We apply this methodology to the EEG spectral signatures to find biomarkers that allow discriminating between (and predicting pertinence to) different subgroups of children diagnosed as Not Otherwise Specified Learning Disabilities (LD-NOS) disorder. Children with LD-NOS have notable learning difficulties, which affect education but are not able to be put into some specific category as reading (Dyslexia), Mathematics (Dyscalculia), or Writing (Dysgraphia). By using the EEG spectra, we aim to identify EEG patterns that may be related to specific learning disabilities in an individual case. This could be useful to develop subject-based methods of therapy, based on information provided by the EEG. Here we study 85 LD-NOS children, divided in three subgroups previously selected by a clustering technique over the scores of cognitive tests. The classification equation produced stable marginal areas under the ROC of 0.71 for discrimination between Group 1 vs. Group 2; 0.91 for Group 1 vs. Group 3; and 0.75 for Group 2 vs. Group1. A discussion of the EEG characteristics of each group related to the cognitive scores is also presented.

Pharmacists' perceptions of facilitators and barriers to lifelong learning.

PubMed

Hanson, Alan L; Bruskiewitz, Ruth H; Demuth, James E

2007-08-15

To reevaluate facilitators of and barriers to pharmacists' participation in lifelong learning previously examined in a 1990 study. A survey instrument was mailed to 274 pharmacists who volunteered to participate based on a prior random sample survey. Data based on perceptions of facilitators and barriers to lifelong learning, as well as self-perception as a lifelong learner, were analyzed and compared to a similar 1990 survey. The response rate for the survey was 88%. The top 3 facilitators and barriers to lifelong learning from the 2003 and the 1990 samples were: (1) personal desire to learn; (2) requirement to maintain professional licensure; and (3) enjoyment/relaxation provided by learning as change of pace from the "routine." The top 3 barriers were: (1) job constraints; (2) scheduling (location, distance, time) of group learning activities; and (3) family constraints (eg, spouse, children, personal). Respondents' broad self-perception as lifelong learners continued to be highly positive overall, but remained less positive relative to more specific lifelong learning skills such as the ability to identify learning objectives as well as to evaluate learning outcomes. Little has changed in the last decade relative to how pharmacists view themselves as lifelong learners, as well as what they perceive as facilitators and barriers to lifelong learning. To address factors identified as facilitators and barriers, continuing education (CE) providers should focus on pharmacists' time constraints, whether due to employment, family responsibilities, or time invested in the educational activity itself, and pharmacists' internal motivations to learn (personal desire, enjoyment), as well as external forces such as mandatory CE for relicensure.

Pharmacists' Perceptions of Facilitators and Barriers to Lifelong Learning

PubMed Central

Bruskiewitz, Ruth H.; DeMuth, James E.

2007-01-01

Objectives To reevaluate facilitators of and barriers to pharmacists' participation in lifelong learning previously examined in a 1990 study. Methods A survey instrument was mailed to 274 pharmacists who volunteered to participate based on a prior random sample survey. Data based on perceptions of facilitators and barriers to lifelong learning, as well as self-perception as a lifelong learner, were analyzed and compared to a similar 1990 survey. Results The response rate for the survey was 88%. The top 3 facilitators and barriers to lifelong learning from the 2003 and the 1990 samples were: (1) personal desire to learn; (2) requirement to maintain professional licensure; and (3) enjoyment/relaxation provided by learning as change of pace from the “routine.” The top 3 barriers were: (1) job constraints; (2) scheduling (location, distance, time) of group learning activities; and (3) family constraints (eg, spouse, children, personal). Respondents' broad self-perception as lifelong learners continued to be highly positive overall, but remained less positive relative to more specific lifelong learning skills such as the ability to identify learning objectives as well as to evaluate learning outcomes. Conclusions Little has changed in the last decade relative to how pharmacists view themselves as lifelong learners, as well as what they perceive as facilitators and barriers to lifelong learning. To address factors identified as facilitators and barriers, continuing education (CE) providers should focus on pharmacists' time constraints, whether due to employment, family responsibilities, or time invested in the educational activity itself, and pharmacists' internal motivations to learn (personal desire, enjoyment), as well as external forces such as mandatory CE for relicensure. PMID:17786254

A Bridge to Active Learning: A Summer Bridge Program Helps Students Maximize Their Active-Learning Experiences and the Active-Learning Experiences of Others

PubMed Central

Cooper, Katelyn M.; Ashley, Michael; Brownell, Sara E.

2017-01-01

National calls to improve student academic success in college have sparked the development of bridge programs designed to help students transition from high school to college. We designed a 2-week Summer Bridge program that taught introductory biology content in an active-learning way. Through a set of exploratory interviews, we unexpectedly identified that Bridge students had developed sophisticated views of active learning, even though this was not an explicit goal of the program. We conducted an additional set of semistructured interviews that focused on active learning and compared the interviews of Bridge students with those from non-Bridge students who had been eligible for but did not participate in the program. We used the constant comparative method to identify themes from the interviews. We found that Bridge students perceived that, because they knew how to approach active learning and viewed it as important, they benefited more from active learning in introductory biology than non-Bridge students. Specifically, Bridge students seemed to be more aware of their own learning gains from participating in active learning. Compared with the majority of non-Bridge students, the majority of Bridge students described using a greater variety of strategies to maximize their experiences in active learning. Finally, in contrast to non-Bridge students, Bridge students indicated that they take an equitable approach to group work. These findings suggest that we may be able to prime students to maximize their own and other’s experiences in active learning. PMID:28232588

Learning from Top-Performing Managers.

ERIC Educational Resources Information Center

Brown, Paul L.

2000-01-01

Illustrates five criteria that can be used to identify the "best" managers in any organization: business results, employee attitudes, peer confirmation, upper-level manager appraisal, and customer satisfaction. Examines what top-performing managers say and do, and concludes that their thinking processes and their specific sets of skills…

A Perceptuo-Cognitive-Motor Approach to the Special Child.

ERIC Educational Resources Information Center

Kornblum, Rena Beth

A movement therapist reviews ways in which a perceptuo-cognitive approach can help handicapped children in learning and in social adjustment. She identifies specific auditory problems (hearing loss, sound-ground confusion, auditory discrimination, auditory localization, auditory memory, auditory sequencing), visual problems (visual acuity,…

6 CFR 15.3 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-01-01

... specific learning disabilities. The term physical or mental impairment includes, but is not limited to... DISABILITY IN PROGRAMS OR ACTIVITIES CONDUCTED BY THE DEPARTMENT OF HOMELAND SECURITY § 15.3 Definitions. For... disabilities shall also identify (where possible) the alleged victims of discrimination. (c) Facility means all...

An intra-amygdala circuit specifically regulates social fear learning

PubMed Central

Twining, Robert C.; Vantrease, Jaime E.; Love, Skyelar; Padival, Mallika; Rosenkranz, J. Amiel

2016-01-01

Adaptive social behavior requires transmission and reception of salient social information. Impairment of this reciprocity is a cardinal symptom of autism. The amygdala is a critical mediator of social behavior and is implicated in social symptoms of autism. Here we found that a specific amygdala circuit, from the lateral nucleus to the medial nucleus (LA-MeA), is required for using social cues to learn about environmental cues that signal imminent threats. Disruption of the LA-MeA circuit impaired valuation of these environmental cues and subsequent ability to use this cue to guide behavior. Rats with impaired social guidance of behavior due to knockout of Nrxn1, an analog to autism-associated genes (NRXN), exhibited marked LA-MeA deficits. Chemogenetic activation of this circuit reversed these impaired social behaviors. These findings identify an amygdala circuit required to guide emotional responses to socially significant cues and identify a novel exploratory target for disorders associated with social impairments. PMID:28114293

Educational audit on drug dose calculation learning in a Tanzanian school of nursing.

PubMed

Savage, Angela Ruth

2015-06-01

Patient safety is a key concern for nurses; ability to calculate drug doses correctly is an essential skill to prevent and reduce medication errors. Literature suggests that nurses' drug calculation skills should be monitored. The aim of the study was to conduct an educational audit on drug dose calculation learning in a Tanzanian school of nursing. Specific objectives were to assess learning from targeted teaching, to identify problem areas in performance and to identify ways in which these problem areas might be addressed. A total of 268 registered nurses and nursing students in two year groups of a nursing degree programme were the subjects for the audit; they were given a pretest, then four hours of teaching, a post-test after two weeks and a second post-test after eight weeks. There was a statistically significant improvement in correct answers in the first post-test, but none between the first and second post-tests. Particular problems with drug calculations were identified by the nurses / students, and the teacher; these identified problems were not congruent. Further studies in different settings using different methods of teaching, planned continuing education for all qualified nurses, and appropriate pass marks for students in critical skills are recommended.

Alignment achieved? The learning landscape and curricula in health profession education.

PubMed

Nordquist, Jonas

2016-01-01

The overall aim of this review is to map the area around the topic of the relationship between physical space and learning and to then draw further potential implications from this for the specific area of health profession education. The nature of the review is a scoping review following a 5-step-model by Arksey & O'Malley. The charting of the data has been conducted with the help of the networked learning landscape framework from Nordquist and Laing. The majority of the research studies on classroom-scale level have focused on how technology may enable active learning. There are no identified research studies on the building-scale level. Hence, the alignment of curricula and physical learning spaces has scarcely been addressed in research from other sectors. In order to 'create a field', conclusions from both case studies and research in related areas must be identified and taken into account to provide insights into health profession education. Four areas have been identified as having potential for future development in health profession education: (i) active involvement of faculty members in the early stages of physical space development; (ii) further development of the assessment strategies for evaluating how physical space impacts learning; (iii) exploration of how informal spaces are being developed in other sectors; and (iv) initiating research projects in HPE to study how informal spaces impact on students' learning. Potentially, the results of this scoping review will result in better future research questions and better-designed studies in this new and upcoming academic field of aligning physical learning spaces and curricula in health profession education. © 2015 John Wiley & Sons Ltd.

Providing Community Education: Lessons Learned from Native Patient Navigators

PubMed Central

Burhansstipanov, Linda; Krebs, Linda U.; Harjo, Lisa; Watanabe-Galloway, Shinobu; Pingatore, Noel; Isham, Debra; Duran, Florence Tinka; Denny, Loretta; Lindstrom, Denise; Crawford, Kim

2014-01-01

Native Navigators and the Cancer Continuum (NNACC) was a community-based participatory research study among five American Indian organizations. The intervention required lay Native Patient Navigators (NPNs) to implement and evaluate community education workshops in their local settings. Community education was a new role for the NPNs and resulted in many lessons learned. NPNs met quarterly from 2008 through 2013 and shared lessons learned with one another and with the administrative team. In July 2012, the NPNs prioritized lessons learned throughout the study that were specific to implementing the education intervention. These were shared to help other navigators who may be including community education within their scope of work. The NPNs identified eight lessons learned that can be divided into three categories: NPN education and training, workshop content and presentation, and workshop logistics and problem-solving. A ninth overarching lesson for the entire NNACC study identified meeting community needs as an avenue for success. This project was successful due to the diligence of the NPNs in understanding their communities’ needs and striving to meet them through education workshops. Nine lessons were identified by the NPNs who provided community education through the NNACC project. Most are relevant to all patient navigators, regardless of patient population, who are incorporating public education into navigation services. Due to their intervention and budget implications, many of these lessons also are relevant to those who are developing navigation research. PMID:25087698

The Benefits and Future of Standards: Metadata and Beyond

NASA Astrophysics Data System (ADS)

Stracke, Christian M.

This article discusses the benefits and future of standards and presents the generic multi-dimensional Reference Model. First the importance and the tasks of interoperability as well as quality development and their relationship are analyzed. Especially in e-Learning their connection and interdependence is evident: Interoperability is one basic requirement for quality development. In this paper, it is shown how standards and specifications are supporting these crucial issues. The upcoming ISO metadata standard MLR (Metadata for Learning Resource) will be introduced and used as example for identifying the requirements and needs for future standardization. In conclusion a vision of the challenges and potentials for e-Learning standardization is outlined.

IRB Process Improvements: A Machine Learning Analysis.

PubMed

Shoenbill, Kimberly; Song, Yiqiang; Cobb, Nichelle L; Drezner, Marc K; Mendonca, Eneida A

2017-06-01

Clinical research involving humans is critically important, but it is a lengthy and expensive process. Most studies require institutional review board (IRB) approval. Our objective is to identify predictors of delays or accelerations in the IRB review process and apply this knowledge to inform process change in an effort to improve IRB efficiency, transparency, consistency and communication. We analyzed timelines of protocol submissions to determine protocol or IRB characteristics associated with different processing times. Our evaluation included single variable analysis to identify significant predictors of IRB processing time and machine learning methods to predict processing times through the IRB review system. Based on initial identified predictors, changes to IRB workflow and staffing procedures were instituted and we repeated our analysis. Our analysis identified several predictors of delays in the IRB review process including type of IRB review to be conducted, whether a protocol falls under Veteran's Administration purview and specific staff in charge of a protocol's review. We have identified several predictors of delays in IRB protocol review processing times using statistical and machine learning methods. Application of this knowledge to process improvement efforts in two IRBs has led to increased efficiency in protocol review. The workflow and system enhancements that are being made support our four-part goal of improving IRB efficiency, consistency, transparency, and communication.

Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes

NASA Astrophysics Data System (ADS)

Oh, Jung Hun; Kerns, Sarah; Ostrer, Harry; Powell, Simon N.; Rosenstein, Barry; Deasy, Joseph O.

2017-02-01

The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide association studies (GWAS) would identify groups of patients of differing complication risk, and furthermore could be used to identify key biological sources of variability. We developed a novel learning algorithm, called pre-conditioned random forest regression (PRFR), to construct polygenic risk models using hundreds of SNPs, thereby capturing genomic features that confer small differential risk. Predictive models were trained and validated on a cohort of 368 prostate cancer patients for two post-radiotherapy clinical endpoints: late rectal bleeding and erectile dysfunction. The proposed method results in better predictive performance compared with existing computational methods. Gene ontology enrichment analysis and protein-protein interaction network analysis are used to identify key biological processes and proteins that were plausible based on other published studies. In conclusion, we confirm that novel machine learning methods can produce large predictive models (hundreds of SNPs), yielding clinically useful risk stratification models, as well as identifying important underlying biological processes in the radiation damage and tissue repair process. The methods are generally applicable to GWAS data and are not specific to radiotherapy endpoints.

How GPs learn.

PubMed

MacLeod, Sheona

2009-07-01

As the requirements for the revalidation of general practitioners (GPs) unfold, there is an increasing emphasis on demonstrating effective continued medical education (CME) based on identified learning needs. This qualitative study aimed to promote understanding of how GPs currently approach their learning. The behaviour of one group of GPs was studied to explore how they assessed and met individual learning needs. The GPs studied showed a pragmatic approach, valuing learning that gave them practical advice and instant access to information for patient-specific problems. The main driver for the GPs' learning was discomfort during their daily work if a possible lack of knowledge or skills was perceived. However, some learning benchmarked current good practice or ensured continued expertise. Learning purely for interest was also described. The GPs in this study all demonstrated a commitment to personal learning, although they were not yet thinking about demonstrating the effectiveness of this for revalidation. The GPs prioritised their learning needs and were beginning to use some objective assessment methods to do this and the GP appraisal process was found to have a mainly positive effect on learning.

Neural priming in human frontal cortex: multiple forms of learning reduce demands on the prefrontal executive system.

PubMed

Race, Elizabeth A; Shanker, Shanti; Wagner, Anthony D

2009-09-01

Past experience is hypothesized to reduce computational demands in PFC by providing bottom-up predictive information that informs subsequent stimulus-action mapping. The present fMRI study measured cortical activity reductions ("neural priming"/"repetition suppression") during repeated stimulus classification to investigate the mechanisms through which learning from the past decreases demands on the prefrontal executive system. Manipulation of learning at three levels of representation-stimulus, decision, and response-revealed dissociable neural priming effects in distinct frontotemporal regions, supporting a multiprocess model of neural priming. Critically, three distinct patterns of neural priming were identified in lateral frontal cortex, indicating that frontal computational demands are reduced by three forms of learning: (a) cortical tuning of stimulus-specific representations, (b) retrieval of learned stimulus-decision mappings, and (c) retrieval of learned stimulus-response mappings. The topographic distribution of these neural priming effects suggests a rostrocaudal organization of executive function in lateral frontal cortex.

FoxP2 in song-learning birds and vocal-learning mammals.

PubMed

Webb, D M; Zhang, J

2005-01-01

FoxP2 is the first identified gene that is specifically involved in speech and language development in humans. Population genetic studies of FoxP2 revealed a selective sweep in recent human history associated with two amino acid substitutions in exon 7. Avian song learning and human language acquisition share many behavioral and neurological similarities. To determine whether FoxP2 plays a similar role in song-learning birds, we sequenced exon 7 of FoxP2 in multiple song-learning and nonlearning birds. We show extreme conservation of FoxP2 sequences in birds, including unusually low rates of synonymous substitutions. However, no amino acid substitutions are shared between the song-learning birds and humans. Furthermore, sequences from vocal-learning whales, dolphins, and bats do not share the human-unique substitutions. While FoxP2 appears to be under strong functional constraints in mammals and birds, we find no evidence for its role during the evolution of vocal learning in nonhuman animals as in humans.

Learning in Artificial Neural Systems

NASA Technical Reports Server (NTRS)

Matheus, Christopher J.; Hohensee, William E.

1987-01-01

This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

The nursing educator's role in e-learning: a literature review.

PubMed

Koch, Lee F

2014-11-01

e-Learning is becoming more commonplace in nursing and healthcare professional education. Research has shown that e-learning can be just as effective at helping students achieve cognitive learning objectives as traditional face-to-face courses, provided that certain quality criteria are met. However, the decentralized, asynchronous nature of e-learning precludes spontaneous, personal interaction between the instructor and the learner. In addition to this, learning objectives in nursing and other healthcare professions are not only within the cognitive, but also within the affective and psychomotor domains. This article seeks to answer the following question: How does e-learning transform the role of nurse educators? Narrative literature review. A comprehensive database search was conducted using the English and German key words "teacher," "educator," "role," "e-learning," and "nursing" to identify literature that examined the role of (nurse) educators in e-learning. The search strategy resulted in the inclusion of 40 sources. The majority of the literature is expert opinion and examines the educator's role in e-learning from a theoretical point of view (n=30). There is a paucity of empirical research pertaining directly to the educator's role (n=10). Only four sources deal specifically with the nurse educator's role. The literature agrees on the need for a new role definition in light of e-learning. This role is more complex than the educator's traditional role. The literature does not provide any indication of how the educator's role can be adapted to the specific needs of online nurse education. There is a need for more empirical research on this subject. Copyright © 2014 Elsevier Ltd. All rights reserved.

RNA sequencing from neural ensembles activated during fear conditioning in the mouse temporal association cortex

PubMed Central

Cho, Jin-Hyung; Huang, Ben S.; Gray, Jesse M.

2016-01-01

The stable formation of remote fear memories is thought to require neuronal gene induction in cortical ensembles that are activated during learning. However, the set of genes expressed specifically in these activated ensembles is not known; knowledge of such transcriptional profiles may offer insights into the molecular program underlying stable memory formation. Here we use RNA-Seq to identify genes whose expression is enriched in activated cortical ensembles labeled during associative fear learning. We first establish that mouse temporal association cortex (TeA) is required for remote recall of auditory fear memories. We then perform RNA-Seq in TeA neurons that are labeled by the activity reporter Arc-dVenus during learning. We identify 944 genes with enriched expression in Arc-dVenus+ neurons. These genes include markers of L2/3, L5b, and L6 excitatory neurons but not glial or inhibitory markers, confirming Arc-dVenus to be an excitatory neuron-specific but non-layer-specific activity reporter. Cross comparisons to other transcriptional profiles show that 125 of the enriched genes are also activity-regulated in vitro or induced by visual stimulus in the visual cortex, suggesting that they may be induced generally in the cortex in an experience-dependent fashion. Prominent among the enriched genes are those encoding potassium channels that down-regulate neuronal activity, suggesting the possibility that part of the molecular program induced by fear conditioning may initiate homeostatic plasticity. PMID:27557751

NASA Space Mechanisms Handbook: Lessons Learned Documented

NASA Technical Reports Server (NTRS)

Fusaro, Robert L.

1999-01-01

The need to improve space mechanism reliability is underscored by a long history of flight failures and anomalies caused by malfunctioning mechanisms on spacecraft and launch vehicles. Some examples of these failures are listed in a table. Because much experience has been gained over the years, many specialized design practices have evolved and many unsatisfactory design approaches have been identified.NASA and the NASA Lewis Research Center conducted a Lessons Learned Study (refs. 1 and 2) and wrote a handbook to document what has been learned in the past. The primary goals of the handbook were to identify desirable and undesirable design practices for space mechanisms and to reduce the number of failures caused by the repetition of past design errors. Another goal was to identify a variety of design approaches for specific applications and to provide the associated considerations and caveats for each approach in an effort to help designers choose the approach most suitable for each application. This technical summary outlines the goals and objectives of the handbook and study as well as the contents of the handbook.

MasterOnline Periodontology and Implant Therapy-revisited after seven years: A case study of the structures and outcomes in a blended learning CPD.

PubMed

Ratka-Krüger, P; Wölber, J P; Blank, J; Holst, K; Hörmeyer, I; Vögele, E

2018-02-01

There is a great need for postgraduate training and continuing professional development (CPD), specifically in the field of periodontology. Despite the plenty of periodontal CPDs, there is a lack of information about the performance of CPDs in a blended learning setting. This study is a case study of the structures and outcomes in a blended learning CPD programme in periodontology, the MasterOnline Periodontology and Implant Therapy hosted by the University of Freiburg's Dental School. The structures of the blended learning CPD were analysed with the aims to (i) make explicit how various innovative educational methods and ICT tools can be successfully applied to a Web-supported postgraduate periodontology training programme, (ii) identify the programme's impact on learning transfer in students' dental practices and (iii) identify other outcomes, synergies and any changes required during the existence. Using qualitative interviewing, the various types of learning transfer and elements of the study programme that foster transfer could be exemplified. A period of 7 years was analysed. In this duration, 50 students successfully graduated to a master of science. Qualitative interviews were performed with six students and four teachers affirming the learning transfer in a blended learning setting. This case study shows that blended learning can be a successful approach for CPD in dentistry. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Regulators of Long-Term Memory Revealed by Mushroom Body-Specific Gene Expression Profiling in Drosophila melanogaster.

PubMed

Widmer, Yves F; Bilican, Adem; Bruggmann, Rémy; Sprecher, Simon G

2018-06-20

Memory formation is achieved by genetically tightly controlled molecular pathways that result in a change of synaptic strength and synapse organization. While for short-term memory traces rapidly acting biochemical pathways are in place, the formation of long-lasting memories requires changes in the transcriptional program of a cell. Although many genes involved in learning and memory formation have been identified, little is known about the genetic mechanisms required for changing the transcriptional program during different phases of long-term memory formation. With Drosophila melanogaster as a model system we profiled transcriptomic changes in the mushroom body, a memory center in the fly brain, at distinct time intervals during appetitive olfactory long-term memory formation using the targeted DamID technique. We describe the gene expression profiles during these phases and tested 33 selected candidate genes for deficits in long-term memory formation using RNAi knockdown. We identified 10 genes that enhance or decrease memory when knocked-down in the mushroom body. For vajk-1 and hacd1 , the two strongest hits, we gained further support for their crucial role in appetitive learning and forgetting. These findings show that profiling gene expression changes in specific cell-types harboring memory traces provides a powerful entry point to identify new genes involved in learning and memory. The presented transcriptomic data may further be used as resource to study genes acting at different memory phases. Copyright © 2018, Genetics.

Online Learning for Classification of Alzheimer Disease based on Cortical Thickness and Hippocampal Shape Analysis.

PubMed

Lee, Ga-Young; Kim, Jeonghun; Kim, Ju Han; Kim, Kiwoong; Seong, Joon-Kyung

2014-01-01

Mobile healthcare applications are becoming a growing trend. Also, the prevalence of dementia in modern society is showing a steady growing trend. Among degenerative brain diseases that cause dementia, Alzheimer disease (AD) is the most common. The purpose of this study was to identify AD patients using magnetic resonance imaging in the mobile environment. We propose an incremental classification for mobile healthcare systems. Our classification method is based on incremental learning for AD diagnosis and AD prediction using the cortical thickness data and hippocampus shape. We constructed a classifier based on principal component analysis and linear discriminant analysis. We performed initial learning and mobile subject classification. Initial learning is the group learning part in our server. Our smartphone agent implements the mobile classification and shows various results. With use of cortical thickness data analysis alone, the discrimination accuracy was 87.33% (sensitivity 96.49% and specificity 64.33%). When cortical thickness data and hippocampal shape were analyzed together, the achieved accuracy was 87.52% (sensitivity 96.79% and specificity 63.24%). In this paper, we presented a classification method based on online learning for AD diagnosis by employing both cortical thickness data and hippocampal shape analysis data. Our method was implemented on smartphone devices and discriminated AD patients for normal group.

The local enhancement conundrum: in search of the adaptive value of a social learning mechanism.

PubMed

Arbilly, Michal; Laland, Kevin N

2014-02-01

Social learning mechanisms are widely thought to vary in their degree of complexity as well as in their prevalence in the natural world. While learning the properties of a stimulus that generalize to similar stimuli at other locations (stimulus enhancement) prima facie appears more useful to an animal than learning about a specific stimulus at a specific location (local enhancement), empirical evidence suggests that the latter is much more widespread in nature. Simulating populations engaged in a producer-scrounger game, we sought to deploy mathematical models to identify the adaptive benefits of reliance on local enhancement and/or stimulus enhancement, and the alternative conditions favoring their evolution. Surprisingly, we found that while stimulus enhancement readily evolves, local enhancement is advantageous only under highly restricted conditions: when generalization of information was made unreliable or when error in social learning was high. Our results generate a conundrum over how seemingly conflicting empirical and theoretical findings can be reconciled. Perhaps the prevalence of local enhancement in nature is due to stimulus enhancement costs independent of the learning task itself (e.g. predation risk), perhaps natural habitats are often characterized by unreliable yet highly rewarding payoffs, or perhaps local enhancement occurs less frequently, and stimulus enhancement more frequently, than widely believed. Copyright © 2013 Elsevier Inc. All rights reserved.

Technology: Educational Media and Materials for the Handicapped Program. Final Report.

ERIC Educational Resources Information Center

Johns Hopkins Univ., Laurel, MD. Applied Physics Lab.

Results are presented of a project that developed 12 social studies (specifically, directionality and geography) and critical thinking computerized instructional modules using multimedia instruction for students with learning disabilities at the upper elementary and lower intermediate school levels. Seven overarching principles were identified as…

Student Conceptions of International Experience in the Study Abroad Context

ERIC Educational Resources Information Center

Streitwieser, Bernhard T.; Light, Gregory J.

2018-01-01

While much of recent study abroad research has focused on identifying and measuring different learning outcomes in terms of specific skills, competencies, perspectives and attributes acquired during study abroad opportunities, less research has considered how students' deeper conceptions and understandings of international experience may change…

Stepfamily Education: Benefits of a Group-Formatted Intervention

ERIC Educational Resources Information Center

Skogrand, Linda; Torres, Eliza; Higginbotham, Brian J.

2010-01-01

This program evaluation was conducted by interviewing 40 low-income participants in a relationship education (RE) program for stepfamilies to determine specific benefits of a group-formatted intervention. The benefits that were most often identified were learning from others and having personal stepfamily challenges normalized. Participants also…

"Cultural Responsiveness": A Framework for Re-Thinking Students' Interculturality through Study Abroad

ERIC Educational Resources Information Center

Giovanangeli, Angela; Oguro, Susan

2016-01-01

While intercultural competence is commonly a goal of university study abroad programmes, debates around criteria for assessing this competence have highlighted the challenges in appropriately identifying students' intercultural learning in relation to specific university programmes. To overcome these issues, this research moves beyond…

V-TECS Guide for Farm Equipment Mechanic.

ERIC Educational Resources Information Center

McClimon, Hugh P.; And Others

This curriculum guide for a vocational agriculture course in farm equipment mechanics addresses the three domains of learning (psychomotor, cognitive, and affective) while providing job-relevant tasks and suggestions for specific classroom activities for each identified task. This guide provides performance objectives for the following 13 tasks:…

Participant Interaction in Asynchronous Learning Environments: Evaluating Interaction Analysis Methods

ERIC Educational Resources Information Center

Blanchette, Judith

2012-01-01

The purpose of this empirical study was to determine the extent to which three different objective analytical methods--sequence analysis, surface cohesion analysis, and lexical cohesion analysis--can most accurately identify specific characteristics of online interaction. Statistically significant differences were found in all points of…

Response to Intervention: Is the Sky Falling?

ERIC Educational Resources Information Center

Dougherty Stahl, Katherine A.

2016-01-01

Response to Intervention (RTI) is a multiple tiered system of instructional interventions that may also serve to identify children with Specific Learning Disabilities (particularly in reading and spelling). This article summarizes the findings of Evaluation of Response to Intervention Practices for Elementary School Reading (Balu, Zhu, Doolittle,…

Biomarkers for Musculoskeletal Pain Conditions: Use of Brain Imaging and Machine Learning.

PubMed

Boissoneault, Jeff; Sevel, Landrew; Letzen, Janelle; Robinson, Michael; Staud, Roland

2017-01-01

Chronic musculoskeletal pain condition often shows poor correlations between tissue abnormalities and clinical pain. Therefore, classification of pain conditions like chronic low back pain, osteoarthritis, and fibromyalgia depends mostly on self report and less on objective findings like X-ray or magnetic resonance imaging (MRI) changes. However, recent advances in structural and functional brain imaging have identified brain abnormalities in chronic pain conditions that can be used for illness classification. Because the analysis of complex and multivariate brain imaging data is challenging, machine learning techniques have been increasingly utilized for this purpose. The goal of machine learning is to train specific classifiers to best identify variables of interest on brain MRIs (i.e., biomarkers). This report describes classification techniques capable of separating MRI-based brain biomarkers of chronic pain patients from healthy controls with high accuracy (70-92%) using machine learning, as well as critical scientific, practical, and ethical considerations related to their potential clinical application. Although self-report remains the gold standard for pain assessment, machine learning may aid in the classification of chronic pain disorders like chronic back pain and fibromyalgia as well as provide mechanistic information regarding their neural correlates.

Teaching nursing research to undergraduates: a text analysis of instructors' intentions.

PubMed

Porter, Eileen J; Mansour, Tamam B

2003-04-01

Reviews of teaching strategies for undergraduate nursing research have been organized according to (a) the type of learning to be achieved, such as learning by doing, or (b) the specific teaching strategy, such as a poster session. For this text analysis, a new tack was taken to reveal the intentions of undergraduate nursing research instructors for student learning. Giorgi's (1985) descriptive phenomenological method was used to analyze 77 narrative reports of instructors about research teaching strategies. Seven intentions were identified, including desensitizing negative perceptions about research and stimulating collaborative learning about research. The intentions were contrasted in scope and relevance to frameworks organized according to learning goals or teaching techniques. The relevance of the intentions was considered in relation to critical trends influencing nursing education. Copyright 2003 Wiley Periodicals, Inc. Res Nurs Health 26:128-142, 2003

The Ontogeny of Cultural Learning.

PubMed

Legare, Cristine H; Harris, Paul L

2016-05-01

Developmental research has the potential to address some of the critical gaps in our scientific understanding of the role played by cultural learning in ontogenetic outcomes. The goal of this special section was to gather together leading examples of research on cultural learning across a variety of social contexts and caregiving settings. Although the field of developmental psychology continues to struggle with the persistent problem of oversampling U.S. and Western European populations, we argue that the articles in this special section add to the growing evidence that children everywhere draw on a repertoire of cultural learning strategies that optimize their acquisition of the specific practices, beliefs, and values of their communities. We also identify future directions and outline best practices for the conduct of research on cultural learning. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

A Neural Basis of Facial Action Recognition in Humans

PubMed Central

Srinivasan, Ramprakash; Golomb, Julie D.

2016-01-01

By combining different facial muscle actions, called action units, humans can produce an extraordinarily large number of facial expressions. Computational models and studies in cognitive science and social psychology have long hypothesized that the brain needs to visually interpret these action units to understand other people's actions and intentions. Surprisingly, no studies have identified the neural basis of the visual recognition of these action units. Here, using functional magnetic resonance imaging and an innovative machine learning analysis approach, we identify a consistent and differential coding of action units in the brain. Crucially, in a brain region thought to be responsible for the processing of changeable aspects of the face, multivoxel pattern analysis could decode the presence of specific action units in an image. This coding was found to be consistent across people, facilitating the estimation of the perceived action units on participants not used to train the multivoxel decoder. Furthermore, this coding of action units was identified when participants attended to the emotion category of the facial expression, suggesting an interaction between the visual analysis of action units and emotion categorization as predicted by the computational models mentioned above. These results provide the first evidence for a representation of action units in the brain and suggest a mechanism for the analysis of large numbers of facial actions and a loss of this capacity in psychopathologies. SIGNIFICANCE STATEMENT Computational models and studies in cognitive and social psychology propound that visual recognition of facial expressions requires an intermediate step to identify visible facial changes caused by the movement of specific facial muscles. Because facial expressions are indeed created by moving one's facial muscles, it is logical to assume that our visual system solves this inverse problem. Here, using an innovative machine learning method and neuroimaging data, we identify for the first time a brain region responsible for the recognition of actions associated with specific facial muscles. Furthermore, this representation is preserved across subjects. Our machine learning analysis does not require mapping the data to a standard brain and may serve as an alternative to hyperalignment. PMID:27098688

Osteoporosis risk prediction using machine learning and conventional methods.

PubMed

Kim, Sung Kean; Yoo, Tae Keun; Oh, Ein; Kim, Deok Won

2013-01-01

A number of clinical decision tools for osteoporosis risk assessment have been developed to select postmenopausal women for the measurement of bone mineral density. We developed and validated machine learning models with the aim of more accurately identifying the risk of osteoporosis in postmenopausal women, and compared with the ability of a conventional clinical decision tool, osteoporosis self-assessment tool (OST). We collected medical records from Korean postmenopausal women based on the Korea National Health and Nutrition Surveys (KNHANES V-1). The training data set was used to construct models based on popular machine learning algorithms such as support vector machines (SVM), random forests (RF), artificial neural networks (ANN), and logistic regression (LR) based on various predictors associated with low bone density. The learning models were compared with OST. SVM had significantly better area under the curve (AUC) of the receiver operating characteristic (ROC) than ANN, LR, and OST. Validation on the test set showed that SVM predicted osteoporosis risk with an AUC of 0.827, accuracy of 76.7%, sensitivity of 77.8%, and specificity of 76.0%. We were the first to perform comparisons of the performance of osteoporosis prediction between the machine learning and conventional methods using population-based epidemiological data. The machine learning methods may be effective tools for identifying postmenopausal women at high risk for osteoporosis.

Not-so-social learning strategies.

PubMed

Heyes, Cecilia; Pearce, John M

2015-03-07

Social learning strategies (SLSs) are rules specifying the conditions in which it would be adaptive for animals to copy the behaviour of others rather than to persist with a previously established behaviour or to acquire a new behaviour through asocial learning. In behavioural ecology, cultural evolutionary theory and economics, SLSs are studied using a 'phenotypic gambit'-from a purely functional perspective, without reference to their underlying psychological mechanisms. However, SLSs are described in these fields as if they were implemented by complex, domain-specific, genetically inherited mechanisms of decision-making. In this article, we suggest that it is time to begin investigating the psychology of SLSs, and we initiate this process by examining recent experimental work relating to three groups of strategies: copy when alternative unsuccessful, copy when model successful and copy the majority. In each case, we argue that the reported behaviour could have been mediated by domain-general and taxonomically general psychological mechanisms; specifically, by mechanisms, identified through conditioning experiments, that make associative learning selective. We also suggest experimental manipulations that could be used in future research to resolve more fully the question whether, in non-human animals, SLSs are mediated by domain-general or domain-specific psychological mechanisms. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Audience response technology: engaging and empowering non-medical prescribing students in pharmacology learning.

PubMed

Lymn, Joanne S; Mostyn, Alison

2010-10-27

Non-medical prescribing (NMP) is a six month course for nurses and certain allied health professionals. It is critical that these students develop a good understanding of pharmacology; however, many students are mature learners with little or no formal biological science knowledge and struggle with the pharmacology component. The implications for patient safety are profound, therefore we encourage students not just to memorise enough pharmacology to pass the exam but to be able to integrate it into clinical practice. Audience response technology (ART), such as the KeePad system (KS) has been shown to promote an active approach to learning and provide instant formative feedback. The aim of this project, therefore, was to incorporate and evaluate the use the KS in promoting pharmacology understanding in NMP students. Questions were incorporated into eight pharmacology lectures, comprising a mix of basic and clinical pharmacology, using TurningPoint software. Student (n = 33) responses to questions were recorded using the KS software and the percentage of students getting the question incorrect and correct was made immediately available in the lecture in graphical form. Survey data collected from these students investigated student perceptions on the use of the system generally and specifically as a learning tool. More in depth discussion of the usefulness of the KS was derived from a focus group comprising 5 students. 100% of students enjoyed using the KS and felt it promoted their understanding of key concepts; 92% stated that it helped identify their learning needs and 87% agreed that the technology was useful in promoting integration of concepts. The most prevalent theme within feedback was that of identifying their own learning needs. Analysis of data from the focus group generated similar themes, with the addition of improving teaching. Repeated questioning produced a significant increase (p < 0.05) in student knowledge of specific pharmacological concepts. The use of ART enhanced non-medical prescribing students' experience of pharmacology teaching. Student perceptions were that this system increased their ability to identify learning needs and promoted understanding and integration of concepts. Students also reported that the technology aided exam revision and reduced associated anxiety.

Audience response technology: Engaging and empowering non-medical prescribing students in pharmacology learning

PubMed Central

2010-01-01

Background Non-medical prescribing (NMP) is a six month course for nurses and certain allied health professionals. It is critical that these students develop a good understanding of pharmacology; however, many students are mature learners with little or no formal biological science knowledge and struggle with the pharmacology component. The implications for patient safety are profound, therefore we encourage students not just to memorise enough pharmacology to pass the exam but to be able to integrate it into clinical practice. Audience response technology (ART), such as the KeePad system (KS) has been shown to promote an active approach to learning and provide instant formative feedback. The aim of this project, therefore, was to incorporate and evaluate the use the KS in promoting pharmacology understanding in NMP students. Methods Questions were incorporated into eight pharmacology lectures, comprising a mix of basic and clinical pharmacology, using TurningPoint software. Student (n = 33) responses to questions were recorded using the KS software and the percentage of students getting the question incorrect and correct was made immediately available in the lecture in graphical form. Survey data collected from these students investigated student perceptions on the use of the system generally and specifically as a learning tool. More in depth discussion of the usefulness of the KS was derived from a focus group comprising 5 students. Results 100% of students enjoyed using the KS and felt it promoted their understanding of key concepts; 92% stated that it helped identify their learning needs and 87% agreed that the technology was useful in promoting integration of concepts. The most prevalent theme within feedback was that of identifying their own learning needs. Analysis of data from the focus group generated similar themes, with the addition of improving teaching. Repeated questioning produced a significant increase (p < 0.05) in student knowledge of specific pharmacological concepts. Conclusions The use of ART enhanced non-medical prescribing students' experience of pharmacology teaching. Student perceptions were that this system increased their ability to identify learning needs and promoted understanding and integration of concepts. Students also reported that the technology aided exam revision and reduced associated anxiety. PMID:20979620

Ethical learning on international medical electives: a case-based analysis of medical student learning experiences.

PubMed

Bowsher, Gemma; Parry-Billings, Laura; Georgeson, Anna; Baraitser, Paula

2018-04-11

Students on international medical electives face complex ethical issues when undertaking clinical work. The variety of elective destinations and the culturally specific nature of clinical ethical issues suggest that pre-elective preparation could be supplemented by in-elective support. An online, asynchronous, case-based discussion was piloted to support ethical learning on medical student electives. We developed six scenarios from elective diaries to stimulate peer-facilitated discussions during electives. We evaluated the transcripts to assess whether transformative, experiential learning took place, assessing specifically for indications that 1) critical reflection, 2) reflective action and 3) reflective learning were taking place. We also completed a qualitative thematic content analysis of the discussions. Of forty-one extended comments, nine responses showed evidence of transformative learning (Mezirow stage three). The thematic analysis identified five themes: adopting a position on ethical issues without overt analysis; presenting issues in terms of their effects on students' ability to complete tasks; describing local contexts and colleagues as "other"; difficulty navigating between individual and structural issues, and overestimation of the impact of individual action on structures and processes. Results suggest a need to: frame ethical learning on elective so that it builds on earlier ethical programmes in the curriculum, and encourages students to adopt structured approaches to complex ethical issues including cross-cultural negotiation and to enhance global health training within the curriculum.

Musical learning in children and adults with Williams syndrome.

PubMed

Lense, M; Dykens, E

2013-09-01

There is recent interest in using music making as an empirically supported intervention for various neurodevelopmental disorders due to music's engagement of perceptual-motor mapping processes. However, little is known about music learning in populations with developmental disabilities. Williams syndrome (WS) is a neurodevelopmental genetic disorder whose characteristic auditory strengths and visual-spatial weaknesses map onto the processes used to learn to play a musical instrument. We identified correlates of novel musical instrument learning in WS by teaching 46 children and adults (7-49 years) with WS to play the Appalachian dulcimer. Obtained dulcimer skill was associated with prior musical abilities (r = 0.634, P < 0.001) and visual-motor integration abilities (r = 0.487, P = 0.001), but not age, gender, IQ, handedness, auditory sensitivities or musical interest/emotionality. Use of auditory learning strategies, but not visual or instructional strategies, predicted greater dulcimer skill beyond individual musical and visual-motor integration abilities (β = 0.285, sr(2) = 0.06, P = 0.019). These findings map onto behavioural and emerging neural evidence for greater auditory-motor mapping processes in WS. Results suggest that explicit awareness of task-specific learning approaches is important when learning a new skill. Implications for using music with populations with syndrome-specific strengths and weakness will be discussed. © 2012 The Authors. Journal of Intellectual Disability Research © 2012 John Wiley & Sons Ltd, MENCAP & IASSID.

The effects of age on the neural correlates of episodic encoding.

PubMed

Grady, C L; McIntosh, A R; Rajah, M N; Beig, S; Craik, F I

1999-12-01

Young and old adults underwent positron emission tomographic scans while encoding pictures of objects and words using three encoding strategies: deep processing (a semantic living/nonliving judgement), shallow processing (size judgement) and intentional learning. Picture memory exceeded word memory in both young and old groups, and there was an age-related decrement only in word recognition. During the encoding tasks three brain activity patterns were found that differentiated stimulus type and the different encoding strategies. The stimulus-specific pattern was characterized by greater activity in extrastriate and medial temporal cortices during picture encoding, and greater activity in left prefrontal and temporal cortices during encoding of words. The older adults showed this pattern to a significantly lesser degree. A pattern distinguishing deep processing from intentional learning of words and pictures was identified, characterized mainly by differences in prefrontal cortex, and this pattern also was of significantly lesser magnitude in the old group. A final pattern identified areas with increased activity during deep processing and intentional learning of pictures, including left prefrontal and bilateral medial temporal regions. There was no group difference in this pattern. These results indicate age-related dysfunction in several encoding networks, with sparing of one specifically involved in more elaborate encoding of pictures. These age-related changes appear to affect verbal memory more than picture memory.

Continuing Veterinary Medical Education Needs Assessment of Small Animal Practitioners in South Korea.

PubMed

Chun, Myung-Sun; Hwang, Cheol-Yong

2015-01-01

This first survey of small animal veterinarians in Korea explores demographic patterns, previous learning experiences, and program preferences for continuing veterinary medical education (CVME). Data were analyzed to identify and describe learning needs and preferences. Respondents' average CVME hours (38.4 hours/year) exceeded the mandatory 10 hours per year. Almost all respondents recognized the importance of CVME. Lack of time and travel distance were identified as significant barriers to CVME participation. CVME courses scheduled after 9 p.m. on weekdays with a registration fee of up to $50 US per hour were preferred. Respondents clearly defined the educational quality criteria of preferred CVME programs: delivery in a series of interventions in a small seminar format, with lectures on theory combined with practical skill-building wet labs taught by experienced veterinarians and board-certified specialists. Small animal veterinarians in Korea are enthusiastic life-long learners who are strongly motivated to select CVME learning activities based on self-identified needs. The changing environment of veterinary medicine in Korea demands an evolution of CVME quality criteria, such as clear program goals reflecting veterinarians' educational needs and desirable competencies, and specific measurable learning objectives. Moreover, the current accreditation system, which does not encourage hands-on skill development formats, needs urgent improvement.

Perceptual Learning of Object Shape

PubMed Central

Golcu, Doruk; Gilbert, Charles D.

2009-01-01

Recognition of objects is accomplished through the use of cues that depend on internal representations of familiar shapes. We used a paradigm of perceptual learning during visual search to explore what features human observers use to identify objects. Human subjects were trained to search for a target object embedded in an array of distractors, until their performance improved from near-chance levels to over 80% of trials in an object specific manner. We determined the role of specific object components in the recognition of the object as a whole by measuring the transfer of learning from the trained object to other objects sharing components with it. Depending on the geometric relationship of the trained object with untrained objects, transfer to untrained objects was observed. Novel objects that shared a component with the trained object were identified at much higher levels than those that did not, and this could be used as an indicator of which features of the object were important for recognition. Training on an object also transferred to the components of the object when these components were embedded in an array of distractors of similar complexity. These results suggest that objects are not represented in a holistic manner during learning, but that their individual components are encoded. Transfer between objects was not complete, and occurred for more than one component, regardless of how well they distinguish the object from distractors. This suggests that a joint involvement of multiple components was necessary for full performance. PMID:19864574

Quality Assurance Systems in Education and Training in Europe

NASA Astrophysics Data System (ADS)

Voinia, Claudiu Sorin; Tuşa, Ana; Simion, Carmen

2014-11-01

Member States have a duty to compare and learn more about the national education and professional training. The objectives of this paper were to identify specific characteristics, developments and highlighting key priorities in coordinating the development of specific quality assurance processes in the European Union. The aim of this work was to present the quality assurance systems in vocational education and training systems in the Member States of the European Union. The results were to identify the extent to which national initiatives of EU member States show interest in the quality of education. Data from research can be useful in developing strategic sector development programs, and local schools

Due Process Hearing Case Study

ERIC Educational Resources Information Center

Bateman, David F.

2009-01-01

"Chuck" is a 10-year-old student residing in an unnamed District ("the District"), identified as eligible for specially designed instruction because of a specific learning disability. His parents' due process complaint (filed in December 2008) requested compensatory education for the period September 2006 to June 2008. They believed that Chuck,…

Due Process Hearing Case Study

ERIC Educational Resources Information Center

Bateman, David F.

2008-01-01

Greg is 13 years old, and currently in seventh grade; he entered an unnamed District ("the District") school in fourth grade as a student with a specific learning disability; he had been identified as eligible for special education programming and services during second grade. During fifth and sixth grade Greg was provided services…

Internationalizing Career Counseling: Emptying Our Cups and Learning from Each Other

ERIC Educational Resources Information Center

Hartung, Paul J.

2005-01-01

The symposium International Perspectives on Career Development included a plenary session that addressed career counseling in a world of limited resources. Panelists representing diverse areas of the world shared their perspectives on career counseling in their countries and the specific problems they faced. They identified common concerns and…

Automated Network Anomaly Detection with Learning, Control and Mitigation

ERIC Educational Resources Information Center

Ippoliti, Dennis

2014-01-01

Anomaly detection is a challenging problem that has been researched within a variety of application domains. In network intrusion detection, anomaly based techniques are particularly attractive because of their ability to identify previously unknown attacks without the need to be programmed with the specific signatures of every possible attack.…

Feedback in a Multiethnic Classroom Discussion: A Case Study

ERIC Educational Resources Information Center

Strandberg, Max; Lindberg, Viveca

2012-01-01

This article focuses on teaching "about" and "for" cultural diversity. More specifically, we look at the manner in which different types of teacher feedback either support or hinder student interaction and student learning. We identified seven types of feedback that were used in classroom discussions with 14-15-year-old…

Teaching Reading to Struggling Learners

ERIC Educational Resources Information Center

Minskoff, Esther

2005-01-01

Identifying the best way to help students who struggle with reading--whether they have learning disabilities, are English language learners, or just need extra support--is a challenge for any teacher. Schools can make that task easier with this indispensable resource, a complete guide to addressing each student's specific instructional needs and…

U.S. Public Administration Programs: Increasing Academic Achievement by Identifying and Utilizing Student Learning Styles

ERIC Educational Resources Information Center

Naylor, Lorenda A; Wooldridge, Blue; Lyles, Alan

2014-01-01

Global economic shifts are forcing universities to become more competitive and operationally efficient. As a result, universities emphasize access, affordability, and achievement. More specifically, U.S. universities have responded by emphasizing course assessment, retention rates, and graduation rates. Both university administrators and faculty…

A Senior Medical Student Seminar Designed to Promote Problem-Solving.

ERIC Educational Resources Information Center

Donohue, James F.; Shumway, James M.

1983-01-01

A seminar was developed to increase students' learning opportunities in respiratory disease and to identify common problem areas in hospital medical care. It provided practice in clinical diagnosis and patient management by promoting dialog, faculty feedback, and self-evaluation. Specific case studies are used for discussion. (MSE)

Factors That Influence the Difficulty of Science Words

ERIC Educational Resources Information Center

Cervetti, Gina N.; Hiebert, Elfrieda H.; Pearson, P. David; McClung, Nicola A.

2015-01-01

This study examines, within the domain of science, the characteristics of words that predict word knowledge and word learning. The authors identified a set of word characteristics--length, part of speech, polysemy, frequency, morphological frequency, domain specificity, and concreteness--that, based on earlier research, were prime candidates to…

Writing Characteristics of Students with Attention Deficit Hyperactive Disorder: A Meta-Analysis

ERIC Educational Resources Information Center

Graham, Steve; Fishman, Evan J.; Reid, Robert; Hebert, Michael

2016-01-01

Students with Attention Deficit Hyperactivity Disorders (ADHD) frequently experience significant difficulty mastering basic academic skills. This meta-analysis focuses on one specific potential area of learning difficulties for these students: namely, writing. To identify the extent and depth of the potential writing challenges faced by students…

Teaching Historical Analysis through Creative Writing Assignments

ERIC Educational Resources Information Center

Peterson, Janine Larmon; Graham, Lea

2015-01-01

Incorporating creative writing exercises in history courses can heighten students' critical reading and analytical skills in an active learning model. We identify and define two types of possible assignments that use model texts as their locus: centripetal, which focuses on specific context and disciplinary terms, and centrifugal, which address…

The Experience of Adult Learners in Academic Service Learning Courses

ERIC Educational Resources Information Center

Finley, Amy E.

2017-01-01

Adult learners represent a significant, and growing, portion of enrollment at higher education institutions. Despite their growing enrollment, adult learners are not retained at nearly the rate of their "traditional" peers, leaving colleges and universities with the need to identify programs and services that specifically address the…

Activity Specificity, Physical and Psychosocial Dimensions.

ERIC Educational Resources Information Center

Hatfield, Frederick C.

The position is taken that the physical parameters of one's involvement in activity learning depend in large measure upon the objectives of the participant. General comments regarding the physical parameters of most activity classes are made. Underlying commonalities existing among these parameters are identified as: (1) freedom from disease; (2)…

Job Satisfaction among Practicing School Psychologists: The Impact of SLD Identification

ERIC Educational Resources Information Center

Cottrell, Joseph M.; Barrett, Courtenay A.

2016-01-01

Research has documented high levels of job satisfaction among school psychologists. Given that school psychologists spend much of their time in special education decision making and identifying students with specific learning disabilities (SLDs), it is important to understand how assessment practices relate to job satisfaction. This study surveyed…

Role of Social Performance in Predicting Learning Problems: Prediction of Risk Using Logistic Regression Analysis

ERIC Educational Resources Information Center

Del Prette, Zilda Aparecida Pereira; Prette, Almir Del; De Oliveira, Lael Almeida; Gresham, Frank M.; Vance, Michael J.

2012-01-01

Social skills are specific behaviors that individuals exhibit in order to successfully complete social tasks whereas social competence represents judgments by significant others that these social tasks have been successfully accomplished. The present investigation identified the best sociobehavioral predictors obtained from different raters…

Online Dictionaries and the Teaching/Learning of English in the Expanding Circle

ERIC Educational Resources Information Center

Fuertes-Olivera, Pedro A.; Cabello de Alba, Beatriz Perez

2012-01-01

This article follows current research on English for Specific Business Purposes, which focuses on the analysis of contextualized business genres and on identifying the strategies that can be associated with effective business communication (Nickerson, 2005). It explores whether free internet dictionaries can be used for promoting effective…

Play, Creativity and Digital Cultures. Routledge Research in Education

ERIC Educational Resources Information Center

Willett, Rebekah, Ed.; Robinson, Muriel, Ed.; Marsh, Jackie, Ed.

2011-01-01

Recent work on children's digital cultures has identified a range of literacies emerging through children's engagement with new media technologies. This edited collection focuses on children's digital cultures, specifically examining the role of play and creativity in learning with these new technologies. The chapters in this book were contributed…

Participatory Model of Mental Health Programming: Lessons Learned from Work in a Developing Country.

ERIC Educational Resources Information Center

Nastasi, Bonnie K.; Varjas, Kristen; Sarkar, Sreeroopa; Jayasena, Asoka

1998-01-01

Describes application of participatory model for creating school-based mental health services in a developing country. Describes process of identifying individual and cultural factors relevant to mental health. Discusses importance of formative research and collaboration with stakeholders to ensure cultural specificity of interventions, and the…

Norepinephrine and Dopamine as Learning Signals

PubMed Central

Harley, Carolyn W.

2004-01-01

The present review focuses on the hypothesis that norepinephrine (NE) and dopamine (DA) act as learning signals. Both NE and DA are broadly distributed in areas concerned with the representation of the world and with the conjunction of sensory inputs and motor outputs. Both are released at times of novelty and uncertainty, providing plausible signal events for updating representations and associations. These catecholamines activate intracellular machinery postulated to serve as a memory-formation cascade. Yet, despite the plausibility of an NE and DA role in vertebrate learning and memory, most evidence that they provide a learning signal is circumstantial. The major weakness of the data available is the lack of a specific description of how the neural circuit modulated by NE or DA participates in the learning being analyzed. Identifying a conditioned stimuli (CS) representation would facilitate the identification of a learning signal role for NE or DA. Describing how the CS representation comes to relate to learned behavior, either through sensory-sensory associations, in which the CS acquires the motivational significance of reward or punishment, thus driving appropriate behavior, or through direct sensory-motor associations is necessary to identify how NE and DA participate in memory creation. As described here, evidence consistent with a direct learning signal role for NE and DA is seen in the changing of sensory circuits in odor preference learning (NE), defensive conditioning (NE), and auditory cortex remodeling in adult rats (DA). Evidence that NE and DA contribute to normal learning through unspecified mechanisms is extensive, but the details of that support role are lacking. PMID:15656268

The role of learning environment on high school chemistry students' motivation and self-regulatory processes

NASA Astrophysics Data System (ADS)

Judd, Jeffrey S.

Changes to the global workforce and technological advancements require graduating high school students to be more autonomous, self-directed, and critical in their thinking. To reflect societal changes, current educational reform has focused on developing more problem-based, collaborative, and student-centered classrooms to promote effective self-regulatory learning strategies, with the goal of helping students adapt to future learning situations and become life-long learners. This study identifies key features that may characterize these "powerful learning environments", which I term "high self-regulating learning environments" for ease of discussion, and examine the environment's role on students' motivation and self-regulatory processes. Using direct observation, surveys, and formal and informal interviews, I identified perceptions, motivations, and self-regulatory strategies of 67 students in my high school chemistry classes as they completed academic tasks in both high and low self-regulating learning environments. With social cognitive theory as a theoretical framework, I then examined how students' beliefs and processes changed after they moved from low to a high self-regulating learning environment. Analyses revealed that key features such as task meaning, utility, complexity, and control appeared to play a role in promoting positive changes in students' motivation and self-regulation. As embedded cases, I also included four students identified as high self-regulating, and four students identified as low self-regulating to examine whether the key features of high and low self-regulating learning environments played a similar role in both groups. Analysis of findings indicates that key features did play a significant role in promoting positive changes in both groups, with high self-regulating students' motivation and self-regulatory strategies generally remaining higher than the low self-regulating students; this was the case in both environments. Findings suggest that classroom learning environments and instruction can be modified using variations of these key features to promote specific or various levels of motivation and self-regulatory skill. In this way, educators may tailor their lessons or design their classrooms to better match and develop students' current level of motivation and self-regulation in order to maximize engagement in an academic task.

Dynamic reconfiguration of human brain functional networks through neurofeedback.

PubMed

Haller, Sven; Kopel, Rotem; Jhooti, Permi; Haas, Tanja; Scharnowski, Frank; Lovblad, Karl-Olof; Scheffler, Klaus; Van De Ville, Dimitri

2013-11-01

Recent fMRI studies demonstrated that functional connectivity is altered following cognitive tasks (e.g., learning) or due to various neurological disorders. We tested whether real-time fMRI-based neurofeedback can be a tool to voluntarily reconfigure brain network interactions. To disentangle learning-related from regulation-related effects, we first trained participants to voluntarily regulate activity in the auditory cortex (training phase) and subsequently asked participants to exert learned voluntary self-regulation in the absence of feedback (transfer phase without learning). Using independent component analysis (ICA), we found network reconfigurations (increases in functional network connectivity) during the neurofeedback training phase between the auditory target region and (1) the auditory pathway; (2) visual regions related to visual feedback processing; (3) insula related to introspection and self-regulation and (4) working memory and high-level visual attention areas related to cognitive effort. Interestingly, the auditory target region was identified as the hub of the reconfigured functional networks without a-priori assumptions. During the transfer phase, we again found specific functional connectivity reconfiguration between auditory and attention network confirming the specific effect of self-regulation on functional connectivity. Functional connectivity to working memory related networks was no longer altered consistent with the absent demand on working memory. We demonstrate that neurofeedback learning is mediated by widespread changes in functional connectivity. In contrast, applying learned self-regulation involves more limited and specific network changes in an auditory setup intended as a model for tinnitus. Hence, neurofeedback training might be used to promote recovery from neurological disorders that are linked to abnormal patterns of brain connectivity. Copyright © 2013 Elsevier Inc. All rights reserved.

Learning novel words: detail and vulnerability of initial representations for children with specific language impairment and typically developing peers.

PubMed

Alt, Mary; Suddarth, Rachael

2012-01-01

This study examines the phonological representations that children with specific language impairment (SLI) and typically developing peers (TD) have during the initial process of word learning. The goals of this study were to determine if children with SLI attended to different components of words than peers, and whether they were more vulnerable to interference than peers. Forty 7- and 8-year-old children, half with SLI, took part in a fast mapping, word learning task. In addition to producing the word, there was a mispronunciation detection task that included mispronunciations of the target word in the initial position, final position or that modified the word's syllable structure. Children with SLI showed a different learning profile than peers, demonstrating stronger representations of the word-initial phonemes, but less information about word-final phonemes. They were more prone to interference overall, but especially from word-final foils. Children with SLI did not demonstrate less-defined phonological representations, but did attend to different features than TD children, perhaps in an attempt to compensate for problems learning longer words. The greatest weakness of children with SLI appears to be their susceptibility to interference, particularly for word-final information. Readers will be able to: (1) explain what children attend to when learning new words; (2) state the pattern of recognition and production performance for both children with SLI and their typical language peers; and (3) identify specific parts of novel words that are most susceptible to interference in children with SLI. © 2011 Elsevier Inc. All rights reserved.

Identifying key components for an effective case report poster: an observational study.

PubMed

Willett, Lisa L; Paranjape, Anuradha; Estrada, Carlos

2009-03-01

Residents demonstrate scholarly activity by presenting posters at academic meetings. Although recommendations from national organizations are available, evidence identifying which components are most important is not. To develop and test an evaluation tool to measure the quality of case report posters and identify the specific components most in need of improvement. Faculty evaluators reviewed case report posters and provided on-site feedback to presenters at poster sessions of four annual academic general internal medicine meetings. A newly developed ten-item evaluation form measured poster quality for specific components of content, discussion, and format (5-point Likert scale, 1 = lowest, 5 = highest). Evaluation tool performance, including Cronbach alpha and inter-rater reliability, overall poster scores, differences across meetings and evaluators and specific components of the posters most in need of improvement. Forty-five evaluators from 20 medical institutions reviewed 347 posters. Cronbach's alpha of the evaluation form was 0.84 and inter-rater reliability, Spearman's rho 0.49 (p < 0.001). The median score was 4.1 (Q1 -Q3, 3.7-4.6)(Q1 = 25th, Q3 = 75th percentile). The national meeting median score was higher than the regional meetings (4.4 vs, 4.0, P < 0.001). We found no difference in faculty scores. The following areas were identified as most needing improvement: clearly state learning objectives, tie conclusions to learning objectives, and use appropriate amount of words. Our evaluation tool provides empirical data to guide trainees as they prepare posters for presentation which may improve poster quality and enhance their scholarly productivity.

Polyunsaturated fatty acids (PUFAs) for children with specific learning disorders.

PubMed

Tan, May Loong; Ho, Jacqueline J; Teh, Keng Hwang

2012-12-12

About 5% of schoolchildren have a specific learning disorder, defined as an unexpected failure to acquire adequate abilities in reading, writing or mathematic skills not as a result of reduced intellectual ability, inadequate teaching or social deprivation. Of these, 80% are reading disorders. Polyunsaturated fatty acids (PUFAs), in particular omega-3 and omega-6 fatty acids, which are found abundantly in the brain and retina are important for learning. Some children with specific learning disorders have been found to be deficient in these PUFAs, and it is argued that supplementation of PUFAs may help these children improve their learning abilities. To assess the effects of polyunsaturated fatty acids (PUFAs) supplementation for children with specific learning disorders, on learning outcomes. We searched the following databases in April 2012: CENTRAL (2012, Issue 4), MEDLINE (1948 to April Week 2 2012), EMBASE (1980 to 2012 Week 16), PsycINFO (1806 to April 2012), ERIC (1966 to April 2012), Science Citation Index (1970 to 20 April 2012), Social Science Citation Index (1970 to 20 April 2012), Conference Proceedings Citation Index-Science (1970 to 20 April 2012), Conference Proceedings Citation Index-Social Sciences and Humanites (1970 to 20 April 2012), Cochrane Database of Systematic Reviews (2012, Issue 4), DARE (2012, Issue 2) , ZETOC (24 April 2012) and WorldCat (24 April 2012). We searched the WHO International Clinical Trials Registry Platform and ClinicalTrials.gov on 24 April 2012. We also searched the reference lists of relevant articles identified by the searches. Randomised or quasi-randomised controlled trials comparing polyunsaturated fatty acids (PUFAs) with placebo or no treatment in children aged below 18 years with specific learning disabilities diagnosed using DSM-IV, ICD-10 or equivalent criteria. We intended to include participants with co-existing developmental disorders such as attention deficit hyperactivity disorder (ADHD) or autism. Two authors (ML and KH) independently screened the titles and abstracts of the search results and eliminated all studies that did not meet the inclusion criteria. Authors were contacted for missing information and clarifications when needed. We did not find any studies suitable for inclusion in the review. One study is awaiting classification as we were unable to get any information from the study author. There is insufficient evidence to draw any conclusion about the use of PUFAs for children with specific learning disorders. There is a need for well designed randomised studies to support or refute the use of PUFAs in this group of children.

The dynamic programming high-order Dynamic Bayesian Networks learning for identifying effective connectivity in human brain from fMRI.

PubMed

Dang, Shilpa; Chaudhury, Santanu; Lall, Brejesh; Roy, Prasun Kumar

2017-06-15

Determination of effective connectivity (EC) among brain regions using fMRI is helpful in understanding the underlying neural mechanisms. Dynamic Bayesian Networks (DBNs) are an appropriate class of probabilistic graphical temporal-models that have been used in past to model EC from fMRI, specifically order-one. High-order DBNs (HO-DBNs) have still not been explored for fMRI data. A fundamental problem faced in the structure-learning of HO-DBN is high computational-burden and low accuracy by the existing heuristic search techniques used for EC detection from fMRI. In this paper, we propose using dynamic programming (DP) principle along with integration of properties of scoring-function in a way to reduce search space for structure-learning of HO-DBNs and finally, for identifying EC from fMRI which has not been done yet to the best of our knowledge. The proposed exact search-&-score learning approach HO-DBN-DP is an extension of the technique which was originally devised for learning a BN's structure from static data (Singh and Moore, 2005). The effectiveness in structure-learning is shown on synthetic fMRI dataset. The algorithm reaches globally-optimal solution in appreciably reduced time-complexity than the static counterpart due to integration of properties. The proof of optimality is provided. The results demonstrate that HO-DBN-DP is comparably more accurate and faster than currently used structure-learning algorithms used for identifying EC from fMRI. The real data EC from HO-DBN-DP shows consistency with previous literature than the classical Granger Causality method. Hence, the DP algorithm can be employed for reliable EC estimates from experimental fMRI data. Copyright © 2017 Elsevier B.V. All rights reserved.

34 CFR 300.309 - Determining the existence of a specific learning disability.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Specific Learning Disabilities § 300.309 Determining the existence of a specific learning disability. (a) The group described in § 300.306 may determine that a child has a specific learning disability, as... the identification of a specific learning disability, using appropriate assessments, consistent with...

Dopamine neurons modulate pheromone responses in Drosophila courtship learning.

PubMed

Keleman, Krystyna; Vrontou, Eleftheria; Krüttner, Sebastian; Yu, Jai Y; Kurtovic-Kozaric, Amina; Dickson, Barry J

2012-09-06

Learning through trial-and-error interactions allows animals to adapt innate behavioural ‘rules of thumb’ to the local environment, improving their prospects for survival and reproduction. Naive Drosophila melanogaster males, for example, court both virgin and mated females, but learn through experience to selectively suppress futile courtship towards females that have already mated. Here we show that courtship learning reflects an enhanced response to the male pheromone cis-vaccenyl acetate (cVA), which is deposited on females during mating and thus distinguishes mated females from virgins. Dissociation experiments suggest a simple learning rule in which unsuccessful courtship enhances sensitivity to cVA. The learning experience can be mimicked by artificial activation of dopaminergic neurons, and we identify a specific class of dopaminergic neuron that is critical for courtship learning. These neurons provide input to the mushroom body (MB) γ lobe, and the DopR1 dopamine receptor is required in MBγ neurons for both natural and artificial courtship learning. Our work thus reveals critical behavioural, cellular and molecular components of the learning rule by which Drosophila adjusts its innate mating strategy according to experience.

Community-Academic Partnerships: Developing a Service-Learning Framework.

PubMed

Voss, Heather C; Mathews, Launa Rae; Fossen, Traci; Scott, Ginger; Schaefer, Michele

2015-01-01

Academic partnerships with hospitals and health care agencies for authentic clinical learning have become a major focus of schools of nursing and professional nursing organizations. Formal academic partnerships in community settings are less common despite evolving models of care delivery outside of inpatient settings. Community-Academic partnerships are commonly developed as a means to engage nursing students in service-learning experiences with an emphasis on student outcomes. The benefit of service-learning projects on community partners and populations receiving the service is largely unknown primarily due to the lack of structure for identifying and measuring outcomes specific to service-learning. Nursing students and their faculty engaged in service-learning have a unique opportunity to collaborate with community partners to evaluate benefits of service-learning projects on those receiving the service. This article describes the development of a service-learning framework as a first step toward successful measurement of the benefits of undergraduate nursing students' service-learning projects on community agencies and the people they serve through a collaborative community-academic partnership. Copyright © 2015 Elsevier Inc. All rights reserved.

TU-C-12A-12: Differentiating Bone Lesions and Degenerative Joint Disease in NaF PET/CT Scans Using Machine Learning

DOE Office of Scientific and Technical Information (OSTI.GOV)

Perk, T; Bradshaw, T; Muzahir, S

2014-06-15

Purpose: [F-18]NaF PET can be used to image bone metastases; however, tracer uptake in degenerative joint disease (DJD) often appears similar to metastases. This study aims to develop and compare different machine learning algorithms to automatically identify regions of [F-18]NaF scans that correspond to DJD. Methods: 10 metastatic prostate cancer patients received whole body [F-18]NaF PET/CT scans prior to treatment. Image segmentation resulted in 852 ROIs, 69 of which were identified by a nuclear medicine physician as DJD. For all ROIs, various PET and CT textural features were computed. ROIs were divided into training and testing sets used to trainmore » eight different machine learning classifiers. Classifiers were evaluated based on receiver operating characteristics area under the curve (AUC), sensitivity, specificity, and positive predictive value (PPV). We also assessed the added value of including CT features in addition to PET features for training classifiers. Results: The training set consisted of 37 DJD ROIs with 475 non-DJD ROIs, and the testing set consisted of 32 DJD ROIs with 308 non-DJD ROIs. Of all classifiers, generalized linear models (GLM), decision forests (DF), and support vector machines (SVM) had the best performance. AUCs of GLM (0.929), DF (0.921), and SVM (0.889) were significantly higher than the other models (p<0.001). GLM and DF, overall, had the best sensitivity, specificity, and PPV, and gave a significantly better performance (p<0.01) than all other models. PET/CT GLM classifiers had higher AUC than just PET or just CT. GLMs built using PET/CT information had superior or comparable sensitivities, specificities and PPVs to just PET or just CT. Conclusion: Machine learning algorithms trained with PET/CT features were able to identify some cases of DJD. GLM outperformed the other classification algorithms. Using PET and CT information together was shown to be superior to using PET or CT features alone. Research supported by the Prostate Cancer Foundation.« less

Effect of 7,8-Dihydroxyflavone, a Small-Molecule TrkB Agonist, on Emotional Learning

PubMed Central

Andero, Raul; Heldt, Scott A.; Ye, Keqiang; Liu, Xia; Armario, Antonio; Ressler, Kerry J.

2013-01-01

Objective Despite increasing awareness of the many important roles played by brain-derived neurotrophic factor (BDNF) activation of TrkB, a fuller understanding of this system and the use of potential TrkB-acting therapeutic agents has been limited by the lack of any identified small-molecule TrkB agonists that fully mimic the actions of BDNF at brain TrkB receptors in vivo. However, 7,8-dihydroxyflavone (7,8-DHF) has recently been identified as a specific TrkB agonist that crosses the blood-brain barrier after oral or intra-peritoneal administration. The authors combined pharmacological, biochemical, and behavioral approaches in a preclinical study examining the role of 7,8-DHF in modulating emotional memory in mice. Method The authors first examined the ability of systemic 7,8-DHF to activate TrkB receptors in the amygdala. They then examined the effects of systemic 7,8-DHF on acquisition and extinction of conditioned fear, using specific and well-characterized BDNF-dependent learning paradigms in several models using naive mice and mice with prior traumatic stress exposure. Results Amygdala TrkB receptors, which have previously been shown to be required for emotional learning, were activated by systemic 7,8-DHF (at 5 mg/kg i.p.). 7,8-DHF enhanced both the acquisition of fear and its extinction. It also appeared to rescue an extinction deficit in mice with a history of immobilization stress. Conclusions These data suggest that 7,8-DHF may be an excellent agent for use in understanding the effects of TrkB activation in learning and memory paradigms and may be attractive for use in reversing learning and extinction deficits associated with psychopathology. PMID:21123312

Evaluation of an advanced physical diagnosis course using consumer preferences methods: the nominal group technique.

PubMed

Coker, Joshua; Castiglioni, Analia; Kraemer, Ryan R; Massie, F Stanford; Morris, Jason L; Rodriguez, Martin; Russell, Stephen W; Shaneyfelt, Terrance; Willett, Lisa L; Estrada, Carlos A

2014-03-01

Current evaluation tools of medical school courses are limited by the scope of questions asked and may not fully engage the student to think on areas to improve. The authors sought to explore whether a technique to study consumer preferences would elicit specific and prioritized information for course evaluation from medical students. Using the nominal group technique (4 sessions), 12 senior medical students prioritized and weighed expectations and topics learned in a 100-hour advanced physical diagnosis course (4-week course; February 2012). Students weighted their top 3 responses (top = 3, middle = 2 and bottom = 1). Before the course, 12 students identified 23 topics they expected to learn; the top 3 were review sensitivity/specificity and high-yield techniques (percentage of total weight, 18.5%), improving diagnosis (13.8%) and reinforce usual and less well-known techniques (13.8%). After the course, students generated 22 topics learned; the top 3 were practice and reinforce advanced maneuvers (25.4%), gaining confidence (22.5%) and learn the evidence (16.9%). The authors observed no differences in the priority of responses before and after the course (P = 0.07). In a physical diagnosis course, medical students elicited specific and prioritized information using the nominal group technique. The course met student expectations regarding education of the evidence-based physical examination, building skills and confidence on the proper techniques and maneuvers and experiential learning. The novel use for curriculum evaluation may be used to evaluate other courses-especially comprehensive and multicomponent courses.

Indicators of undergraduate nursing students' satisfaction with their learning journey: An integrative review.

PubMed

Walker, Sandra; Rossi, Dolene; Anastasi, Jennifer; Gray-Ganter, Gillian; Tennent, Rebeka

2016-08-01

In Australia Bachelor of Nursing programmes are delivered via both internal and distance modes yet there is little knowledge of the indicators of undergraduate nursing students' satisfaction with the learning journey. This integrative review was undertaken to uncover the indicators of undergraduate nursing students' satisfaction with their learning journey. Integrative review. A review of key papers was undertaken. Only peer-reviewed papers published in scholarly journals from 2008 onwards were included in this integrative review. Pubmed, CINAHL, Google Scholar, Cochrane, Wiley Online and ProQuest Central databases were searched for relevant papers. 49 papers were appraised, by a minimum of two team members. CASP tools were used when evaluating qualitative research, systematic and integrated reviews while survey research was evaluated using a tool specifically developed for this purpose by the research team. All tools used to assess the quality of the research studies contained comprehensive checklists and questions relevant for the particular type of study. Data related to these checklists was extracted and the research team appraised the quality of each article based on its relevance to the topic, internal and external validity, appropriateness of data analysis technique(s), and whether ethical considerations were addressed. Seventeen papers were included in the final analysis. Data analysis involved a systematic approach using content analysis techniques. This integrative review sought to identify indicators of nursing students' satisfaction with their learning journey. Authentic learning, motivation, resilience, support, and collaborative learning were identified by this integrative review as being key to nursing students' satisfaction with their learning journey. Sub themes were identified within each of these themes that assist in explaining nursing students' views of their learning journey. The findings showed that higher satisfaction levels are attained when nursing students feel included and supported during their learning journey. Copyright © 2016 Elsevier Ltd. All rights reserved.

Using Web 2.0 for health promotion and social marketing efforts: lessons learned from Web 2.0 experts.

PubMed

Dooley, Jennifer Allyson; Jones, Sandra C; Iverson, Don

2014-01-01

Web 2.0 experts working in social marketing participated in qualitative in-depth interviews. The research aimed to document the current state of Web 2.0 practice. Perceived strengths (such as the viral nature of Web 2.0) and weaknesses (such as the time consuming effort it took to learn new Web 2.0 platforms) existed when using Web 2.0 platforms for campaigns. Lessons learned were identified--namely, suggestions for engaging in specific types of content creation strategies (such as plain language and transparent communication practices). Findings present originality and value to practitioners working in social marketing who want to effectively use Web 2.0.

Seizure Forecasting and the Preictal State in Canine Epilepsy.

PubMed

Varatharajah, Yogatheesan; Iyer, Ravishankar K; Berry, Brent M; Worrell, Gregory A; Brinkmann, Benjamin H

2017-02-01

The ability to predict seizures may enable patients with epilepsy to better manage their medications and activities, potentially reducing side effects and improving quality of life. Forecasting epileptic seizures remains a challenging problem, but machine learning methods using intracranial electroencephalographic (iEEG) measures have shown promise. A machine-learning-based pipeline was developed to process iEEG recordings and generate seizure warnings. Results support the ability to forecast seizures at rates greater than a Poisson random predictor for all feature sets and machine learning algorithms tested. In addition, subject-specific neurophysiological changes in multiple features are reported preceding lead seizures, providing evidence supporting the existence of a distinct and identifiable preictal state.

SEIZURE FORECASTING AND THE PREICTAL STATE IN CANINE EPILEPSY

PubMed Central

Varatharajah, Yogatheesan; Iyer, Ravishankar K.; Berry, Brent M.; Worrell, Gregory A.; Brinkmann, Benjamin H.

2017-01-01

The ability to predict seizures may enable patients with epilepsy to better manage their medications and activities, potentially reducing side effects and improving quality of life. Forecasting epileptic seizures remains a challenging problem, but machine learning methods using intracranial electroencephalographic (iEEG) measures have shown promise. A machine-learning-based pipeline was developed to process iEEG recordings and generate seizure warnings. Results support the ability to forecast seizures at rates greater than a Poisson random predictor for all feature sets and machine learning algorithms tested. In addition, subject-specific neurophysiological changes in multiple features are reported preceding lead seizures, providing evidence supporting the existence of a distinct and identifiable preictal state. PMID:27464854

34 CFR 300.309 - Determining the existence of a specific learning disability.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 34 Education 2 2011-07-01 2010-07-01 true Determining the existence of a specific learning... Specific Learning Disabilities § 300.309 Determining the existence of a specific learning disability. (a) The group described in § 300.306 may determine that a child has a specific learning disability, as...

Pediatric cognitive rehabilitation: effective treatments in a school-based environment.

PubMed

Shaw, Dorothy R

2014-01-01

Many studies have investigated the impact of pediatric Cognitive Rehabilitation Therapy (CRT) upon intellectual functioning after traumatic brain injury; however, relatively few have identified efficacious treatment in a school setting. The purpose is to present a variety of CRT strategies that would be useful to a teacher or therapist working with students who are learning disabled or who have who have had a traumatic brain injury (TBI). This article investigates the particular challenges in learning which result from impaired cognition, and suggests techniques for improving memory and executive functioning. Students who are learning disabled or who have TBI face social and emotional issues that impact their learning. Special therapeutic interventions are necessary to assist with orienting to their setting, integrating with peers, and coping with distressing emotions. Students with TBI can adapt and flourish in a school based setting provided that therapies and learned strategies are targeted to their specific needs.

A neural circuit mechanism for regulating vocal variability during song learning in zebra finches.

PubMed

Garst-Orozco, Jonathan; Babadi, Baktash; Ölveczky, Bence P

2014-12-15

Motor skill learning is characterized by improved performance and reduced motor variability. The neural mechanisms that couple skill level and variability, however, are not known. The zebra finch, a songbird, presents a unique opportunity to address this question because production of learned song and induction of vocal variability are instantiated in distinct circuits that converge on a motor cortex analogue controlling vocal output. To probe the interplay between learning and variability, we made intracellular recordings from neurons in this area, characterizing how their inputs from the functionally distinct pathways change throughout song development. We found that inputs that drive stereotyped song-patterns are strengthened and pruned, while inputs that induce variability remain unchanged. A simple network model showed that strengthening and pruning of action-specific connections reduces the sensitivity of motor control circuits to variable input and neural 'noise'. This identifies a simple and general mechanism for learning-related regulation of motor variability.

Use of Inverse Reinforcement Learning for Identity Prediction

NASA Technical Reports Server (NTRS)

Hayes, Roy; Bao, Jonathan; Beling, Peter; Horowitz, Barry

2011-01-01

We adopt Markov Decision Processes (MDP) to model sequential decision problems, which have the characteristic that the current decision made by a human decision maker has an uncertain impact on future opportunity. We hypothesize that the individuality of decision makers can be modeled as differences in the reward function under a common MDP model. A machine learning technique, Inverse Reinforcement Learning (IRL), was used to learn an individual's reward function based on limited observation of his or her decision choices. This work serves as an initial investigation for using IRL to analyze decision making, conducted through a human experiment in a cyber shopping environment. Specifically, the ability to determine the demographic identity of users is conducted through prediction analysis and supervised learning. The results show that IRL can be used to correctly identify participants, at a rate of 68% for gender and 66% for one of three college major categories.

Structure and strategies in children's educational television: the roles of program type and learning strategies in children's learning.

PubMed

Linebarger, Deborah L; Piotrowski, Jessica Taylor

2010-01-01

Educational TV has been consistently linked to children's learning. In this research, educational TV characteristics were identified, coded, and tested for their influence on children's program-specific comprehension and vocabulary outcomes. Study 1 details a content analysis of TV features including a program's macrostructure (i.e., narrative or expository) and learning strategies embedded in the macrostructure that support learning in print-based contexts. In Study 2, regression analyses were used to predict outcomes involving 71 second and third graders (average age=7.63 years). Strategies were categorized as organizing, rehearsing, elaborating, or affective in function. Outcomes were uniformly higher for narrative macrostructures. Strategies used in narratives predicted relatively homogenous relations across outcomes, whereas strategies in expositories predicted quite heterogeneous relations across outcomes. © 2010 The Authors. Child Development © 2010 Society for Research in Child Development, Inc.

Socio-material perspectives on interprofessional team and collaborative learning.

PubMed

McMurtry, Angus; Rohse, Shanta; Kilgour, Kelly N

2016-02-01

Interprofessional teamwork and collaboration have become important parts of health care practice and education. Most of the literature on interprofessional learning, however, assumes that learning is something acquired by individuals and readily transferred to other contexts. This assumption severely limits the ways in which interprofessional educators and researchers can conceptualise and support learning related to collaborative interprofessional health care. Socio-material theories provide an alternative to individualistic, acquisition-oriented notions by reconceiving learning in terms of collective dynamics, participation in social communities and active engagement with material contexts. Socio-material literature and theories were reviewed to identify concepts relevant to interprofessional learning. After briefly summarising the origins and key principles of socio-material approaches, the authors draw upon specific socio-material theories--including complexity theory, cultural-historical activity theory and actor-network theory--in order to reconceive how learning happens in interprofessional contexts. This reframing of interprofessional learning focuses less on individuals and more on collective dynamics and the actual social and material relations involved in practice. The paper proposes five ways in which learning may be enacted in interprofessional teamwork and collaboration from a socio-material perspective: (i) diverse contributions; (ii) social interactions and relationships; (iii) synthesis of professional ideas; (iv) integration of material elements, and (v) connections to large-scale organisations. For each of these categories, the paper provides practical illustrations to assist educators and researchers who wish to identify and assess this learning. Although more exploratory than comprehensive, this paper articulates many key aspects of socio-material learning theories and offers practical guidance for those who wish to employ and assess them in interprofessional contexts. © 2016 John Wiley & Sons Ltd.

Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework.

PubMed

Zhu, Egui; Lilienthal, Anneliese; Shluzas, Lauren Aquino; Masiello, Italo; Zary, Nabil

2015-09-18

Augmented reality (AR) is increasingly used across a range of subject areas in health care education as health care settings partner to bridge the gap between knowledge and practice. As the first contact with patients, general practitioners (GPs) are important in the battle against a global health threat, the spread of antibiotic resistance. AR has potential as a practical tool for GPs to combine learning and practice in the rational use of antibiotics. This paper was driven by learning theory to develop a mobile augmented reality education (MARE) design framework. The primary goal of the framework is to guide the development of AR educational apps. This study focuses on (1) identifying suitable learning theories for guiding the design of AR education apps, (2) integrating learning outcomes and learning theories to support health care education through AR, and (3) applying the design framework in the context of improving GPs' rational use of antibiotics. The design framework was first constructed with the conceptual framework analysis method. Data were collected from multidisciplinary publications and reference materials and were analyzed with directed content analysis to identify key concepts and their relationships. Then the design framework was applied to a health care educational challenge. The proposed MARE framework consists of three hierarchical layers: the foundation, function, and outcome layers. Three learning theories-situated, experiential, and transformative learning-provide foundational support based on differing views of the relationships among learning, practice, and the environment. The function layer depends upon the learners' personal paradigms and indicates how health care learning could be achieved with MARE. The outcome layer analyzes different learning abilities, from knowledge to the practice level, to clarify learning objectives and expectations and to avoid teaching pitched at the wrong level. Suggestions for learning activities and the requirements of the learning environment form the foundation for AR to fill the gap between learning outcomes and medical learners' personal paradigms. With the design framework, the expected rational use of antibiotics by GPs is described and is easy to execute and evaluate. The comparison of specific expected abilities with the GP personal paradigm helps solidify the GP practical learning objectives and helps design the learning environment and activities. The learning environment and activities were supported by learning theories. This paper describes a framework for guiding the design, development, and application of mobile AR for medical education in the health care setting. The framework is theory driven with an understanding of the characteristics of AR and specific medical disciplines toward helping medical education improve professional development from knowledge to practice. Future research will use the framework as a guide for developing AR apps in practice to validate and improve the design framework.

Medical Student Perceptions of the Learning Environment at the End of the First Year: A 28-Medical School Collaborative.

PubMed

Skochelak, Susan E; Stansfield, R Brent; Dunham, Lisette; Dekhtyar, Michael; Gruppen, Larry D; Christianson, Charles; Filstead, William; Quirk, Mark

2016-09-01

Accreditation and professional organizations have recognized the importance of measuring medical students' perceptions of the learning environment, which influences well-being and professional competency development, to optimize professional development. This study was conducted to explore interactions between students' perceptions of the medical school learning environment, student demographic variables, and students' professional attributes of empathy, coping, tolerance of ambiguity, and patient-centeredness to provide ideas for improving the learning environment. Twenty-eight medical schools at 38 campuses recruited 4,664 entering medical students to participate in the two-cohort longitudinal study (2010-2014 or 2011-2015). The authors employed chi-square tests and analysis of variance to examine the relationship between Medical School Learning Environment Survey (MSLES) scores and student characteristics. The authors used mixed-effects models with random school and campus effects to test the overall variances accounted for in MSLES scores at the end of the first year of medical school. Student attributes and demographic characteristics differed significantly across schools but accounted for only 2.2% of the total variance in MSLES scores. Medical school campus explained 15.6% of the variance in MSLES scores. At year's end, students' perceptions toward the learning environment, as reported on the MSLES, differed significantly according to the medical school campus where they trained. Further studies are needed to identify specific factors, such as grading policies, administrative support, and existence of learning communities, which may influence perceptions of the learning environment at various schools. Identifying such variables would assist schools in developing a positive learning environment.

A framework to develop a clinical learning culture in health facilities: ideas from the literature.

PubMed

Henderson, A; Briggs, J; Schoonbeek, S; Paterson, K

2011-06-01

Internationally, there is an increase in demand to educate nurses within the clinical practice environment. Clinical practice settings that encourage teaching and learning during episodes of care delivery can be powerful in educating both the existing nursing workforce and nursing students. This paper presents a framework, informed by the literature, that identifies the key factors that are needed to encourage the interactions fundamental to learning in clinical practice. Learning occurs when nurses demonstrate good practice, share their knowledge through conversations and discussions, and also provide feedback to learners, such as students and novices. These types of interactions occur when positive leadership practices encourage trust and openness between staff; when the management team provides sessions for staff to learn how to interact with learners, and also when partnerships provide support and guidance around learning in the workplace. APPLICATION OF CONCEPTS: This framework presents how the concepts of leadership, management and partnership interact to create and sustain learning environments. The feedback from proposed measurement tools can provide valuable information about the positive and negative aspects of these concepts in the clinical learning environment. Analysis of the subscales can assist in identifying appropriate recommended strategies outlined in the framework to guide nurses in improving the recognized deficits in the relationship between the concepts. Leadership, management and partnerships are pivotal for the creation and maintenance of positive learning environments. Diagnostic measurement tools can provide specific information about weaknesses across these areas. This knowledge can guide future initiatives. © 2011 The Authors. International Nursing Review © 2011 International Council of Nurses.

A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

PubMed Central

Anderson, Sarah J.; Hecker, Kent G.; Krigolson, Olave E.; Jamniczky, Heather A.

2018-01-01

In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise. PMID:29467638

A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention-A Neuroeducation Study.

PubMed

Anderson, Sarah J; Hecker, Kent G; Krigolson, Olave E; Jamniczky, Heather A

2018-01-01

In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

PubMed

Choi, Ickwon; Chung, Amy W; Suscovich, Todd J; Rerks-Ngarm, Supachai; Pitisuttithum, Punnee; Nitayaphan, Sorachai; Kaewkungwal, Jaranit; O'Connell, Robert J; Francis, Donald; Robb, Merlin L; Michael, Nelson L; Kim, Jerome H; Alter, Galit; Ackerman, Margaret E; Bailey-Kellogg, Chris

2015-04-01

The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and model associations between antibody features (IgG subclass and antigen specificity) and effector function activities (antibody dependent cellular phagocytosis, cellular cytotoxicity, and cytokine release). We demonstrate via cross-validation that classification and regression approaches can effectively use the antibody features to robustly predict qualitative and quantitative functional outcomes. This integration of antibody feature and function data within a machine learning framework provides a new, objective approach to discovering and assessing multivariate immune correlates.

Machine Learning Methods Enable Predictive Modeling of Antibody Feature:Function Relationships in RV144 Vaccinees

PubMed Central

Choi, Ickwon; Chung, Amy W.; Suscovich, Todd J.; Rerks-Ngarm, Supachai; Pitisuttithum, Punnee; Nitayaphan, Sorachai; Kaewkungwal, Jaranit; O'Connell, Robert J.; Francis, Donald; Robb, Merlin L.; Michael, Nelson L.; Kim, Jerome H.; Alter, Galit; Ackerman, Margaret E.; Bailey-Kellogg, Chris

2015-01-01

The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and model associations between antibody features (IgG subclass and antigen specificity) and effector function activities (antibody dependent cellular phagocytosis, cellular cytotoxicity, and cytokine release). We demonstrate via cross-validation that classification and regression approaches can effectively use the antibody features to robustly predict qualitative and quantitative functional outcomes. This integration of antibody feature and function data within a machine learning framework provides a new, objective approach to discovering and assessing multivariate immune correlates. PMID:25874406

Minorities are Disproportionately Underrepresented in Special Education: Longitudinal Evidence Across Five Disability Conditions

PubMed Central

Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M.; Mattison, Richard; Maczuga, Steve; Li, Hui; Cook, Michael

2016-01-01

We investigated whether and to what extent minority children attending elementary and middle schools in the U.S. are over- or under-identified as disabled and so disproportionately represented in special education. To address existing limitations in the field's knowledge base, we (a) analyzed multi-year longitudinal data, (b) used hazard modeling to estimate over-time dynamics of disability identification across five specific conditions, and (c) extensively corrected for child-, family-, and school-level potential confounding variables (e.g., child-level academic achievement and behavior, family-level socioeconomic status, school-level state location). Despite long-standing and on-going federal legislative and policy efforts to reduce minority over-representation in special education, our analyses indicated that this has not been occurring in the U.S. Instead, minority children are less likely than otherwise similar White, English-speaking children to be identified as disabled and so receive special education services. From kindergarten entry to at least the end of middle school, racial and ethnic minority children are less likely than otherwise similar White children to be identified as having (a) learning disabilities, (b) speech or language impairments, (c) intellectual disabilities, (d) health impairments, or (d) emotional disturbances. Language minority children are less likely to be identified as having (a) specific learning disabilities or (b) speech or language impairments. PMID:27445414

Objective detection of apoptosis in rat renal tissue sections using light microscopy and free image analysis software with subsequent machine learning: Detection of apoptosis in renal tissue.

PubMed

Macedo, Nayana Damiani; Buzin, Aline Rodrigues; de Araujo, Isabela Bastos Binotti Abreu; Nogueira, Breno Valentim; de Andrade, Tadeu Uggere; Endringer, Denise Coutinho; Lenz, Dominik

2017-02-01

The current study proposes an automated machine learning approach for the quantification of cells in cell death pathways according to DNA fragmentation. A total of 17 images of kidney histological slide samples from male Wistar rats were used. The slides were photographed using an Axio Zeiss Vert.A1 microscope with a 40x objective lens coupled with an Axio Cam MRC Zeiss camera and Zen 2012 software. The images were analyzed using CellProfiler (version 2.1.1) and CellProfiler Analyst open-source software. Out of the 10,378 objects, 4970 (47,9%) were identified as TUNEL positive, and 5408 (52,1%) were identified as TUNEL negative. On average, the sensitivity and specificity values of the machine learning approach were 0.80 and 0.77, respectively. Image cytometry provides a quantitative analytical alternative to the more traditional qualitative methods more commonly used in studies. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Process for Curricular Improvement Based on Evaluation of Student Performance on Milestone Examinations

PubMed Central

Hylton, Ann C.; Justice, Michael

2016-01-01

Objective. To identify and address areas for curricular improvement by evaluating student achievement of expected learning outcomes and competencies on annual milestone examinations. Design. Students were tested each professional year with a comprehensive milestone examination designed to evaluate student achievement of learning outcomes and professional competencies using a combination of multiple-choice questions, standardized patient assessments (SPAs), and objective structured clinical examination (OSCE) questions. Assessment. Based on student performance on milestone examinations, curricular changes were instituted, including an increased emphasis on graded comprehensive cases, OSCE skills days, and use of patient simulation in lecture and laboratory courses. After making these changes, significant improvements were observed in second and third-year pharmacy students’ grades for the therapeutic case and physician interaction/errors and omissions components of the milestone examinations. Conclusion. Results from milestone examinations can be used to identify specific areas in which curricular improvements are needed to foster student achievement of learning outcomes and professional competencies. PMID:28090108

[Cooperative learning for improving healthy housing conditions in Bogota: a case study].

PubMed

Torres-Parra, Camilo A; García-Ubaque, Juan C; García-Ubaque, César A

2014-01-01

This was a community-based effort at constructing an educational proposal orientated towards self-empowerment aimed at improving the target population's sanitary, housing and living conditions through cooperative learning. A constructivist approach was adopted based on a programme called "Habitat community manger". The project involved working with fifteen families living in the Mochuelo Bajo barrio in Ciudad Bolívar in Bogotá, Colombia, for identifying the most relevant sanitary aspects for improving their homes and proposing a methodology and organisation for an educational proposal. Twenty-one poor housing-related epidemiological indicators were identified which formed the basis for defining specific problems and establishing a methodology for designing an educational proposal. The course which emerged from the cooperative learning experience was designed to promote the community's skills and education regarding health aimed at improving households' living conditions and ensuring a healthy environment which would allow them to develop an immediate habitat ensuring their own welfare and dignity.

Cognitive learning during surgical residency. A model for curriculum evaluation.

PubMed

Rhodes, R S; Wile, M Z; Persons, M L; Shuck, J M

1987-02-01

The program summary of the American Board of Surgery In-Service Training Exam (ABSITE) can be used to quantitate cognitive learning during a surgical residency and to identify areas of curricular weakness in a residency program. Knowledge on each question is categorized as high (known) or low (unknown) depending on the percentage of residents who answered correctly. Knowledge of Level 1 (entry) residents is then compared with Level 5 (exit) residents. Each ABSITE question can thus be categorized on entry versus exit as known-known, unknown-unknown, unknown-known, and known-unknown. Only about half of unknown knowledge on entry appears to become known on exit. Very little knowledge known on entry becomes unknown on exit. Weaknesses in specific subject areas can be readily identified by ranking questions according to the number of exiting residents who answer incorrectly. Use of this technique to quantitate cognitive learning in a residency program may allow objective assessment of changes in curriculum.

Specialization and Universals in the Development of Reading Skill: How Chinese Research Informs a Universal Science of Reading

PubMed Central

Perfetti, Charles; Cao, Fan; Booth, James

2014-01-01

Understanding Chinese reading is important for identifying the universal aspects of reading, separated from those aspects that are specific to alphabetic writing or to English in particular. Chinese and alphabetic writing make different demands on reading and learning to read, despite reading procedures and their supporting brain networks that are partly universal. Learning to read accommodates the demands of a writing system through the specialization of brain networks that support word identification. This specialization increases with reading development, leading to differences in the brain networks for alphabetic and Chinese reading. We suggest that beyond reading procedures that are partly universal and partly writing-system specific, functional reading universals arise across writing systems in their adaptation to human cognitive abilities. PMID:24744605

The role of emotion in the learning and transfer of clinical skills and knowledge.

PubMed

McConnell, Meghan M; Eva, Kevin W

2012-10-01

Medical school and residency are emotional experiences for trainees. Most research examining emotion in medicine has focused on negative moods associated with physician burnout and poor quality of life. However, positive emotional states also may have important influences on student learning and performance. The authors present a review of the literature on the influence of emotion on cognition, specifically how individuals learn complex skills and knowledge and how they transfer that information to new scenarios. From September 2011 to February 2012, the authors searched Medline, PsycInfo, GoogleScholar, ERIC, and Web of Science, as well as the reference lists of relevant articles, for research on the interaction between emotion, learning, and knowledge transfer. They extracted representative themes and noted particularly relevant empirical findings. The authors found articles that show that emotion influences various cognitive processes that are involved in the acquisition and transfer of knowledge and skills. More specifically, emotion influences how individuals identify and perceive information, how they interpret it, and how they act on the information available in learning and practice situations. There are many ways in which emotions may influence medical education. Researchers must further explore the implications of these findings to ensure that learning is not treated simply as a rational, mechanistic process but that trainees are effectively prepared to perform under a wide range of emotional conditions.

Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework

PubMed Central

Lilienthal, Anneliese; Shluzas, Lauren Aquino; Masiello, Italo; Zary, Nabil

2015-01-01

Background Augmented reality (AR) is increasingly used across a range of subject areas in health care education as health care settings partner to bridge the gap between knowledge and practice. As the first contact with patients, general practitioners (GPs) are important in the battle against a global health threat, the spread of antibiotic resistance. AR has potential as a practical tool for GPs to combine learning and practice in the rational use of antibiotics. Objective This paper was driven by learning theory to develop a mobile augmented reality education (MARE) design framework. The primary goal of the framework is to guide the development of AR educational apps. This study focuses on (1) identifying suitable learning theories for guiding the design of AR education apps, (2) integrating learning outcomes and learning theories to support health care education through AR, and (3) applying the design framework in the context of improving GPs’ rational use of antibiotics. Methods The design framework was first constructed with the conceptual framework analysis method. Data were collected from multidisciplinary publications and reference materials and were analyzed with directed content analysis to identify key concepts and their relationships. Then the design framework was applied to a health care educational challenge. Results The proposed MARE framework consists of three hierarchical layers: the foundation, function, and outcome layers. Three learning theories—situated, experiential, and transformative learning—provide foundational support based on differing views of the relationships among learning, practice, and the environment. The function layer depends upon the learners’ personal paradigms and indicates how health care learning could be achieved with MARE. The outcome layer analyzes different learning abilities, from knowledge to the practice level, to clarify learning objectives and expectations and to avoid teaching pitched at the wrong level. Suggestions for learning activities and the requirements of the learning environment form the foundation for AR to fill the gap between learning outcomes and medical learners’ personal paradigms. With the design framework, the expected rational use of antibiotics by GPs is described and is easy to execute and evaluate. The comparison of specific expected abilities with the GP personal paradigm helps solidify the GP practical learning objectives and helps design the learning environment and activities. The learning environment and activities were supported by learning theories. Conclusions This paper describes a framework for guiding the design, development, and application of mobile AR for medical education in the health care setting. The framework is theory driven with an understanding of the characteristics of AR and specific medical disciplines toward helping medical education improve professional development from knowledge to practice. Future research will use the framework as a guide for developing AR apps in practice to validate and improve the design framework. PMID:27731839

On Scaffolding Adaptive Teaching Prompts within Virtual Labs

ERIC Educational Resources Information Center

Najjar, Mehdi

2008-01-01

Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…

Phoenix's roadway closure and restriction system : lessons learned from the Metropolitan Model Deployment Initiative : providing enhanced traffic information to the public

DOT National Transportation Integrated Search

1998-01-01

The purpose of the ITS Planning Handbook is to provide a tool to assist in meeting current challenges. Specifically, the purposes of the Handbook are to: (1) Identify and describe ways that ITS should be integrated with the mainstream transportation ...

Education Business Plan 2008-11: Ministry Business Plan

ERIC Educational Resources Information Center

Alberta Education, 2008

2008-01-01

The Ministry of Education has identified one core business that is an ongoing key responsibility. It is called "Core Business One: Lead and Support the Education System So That All Students Are Successful at Learning." The core business includes three goals with specific outcomes that describe the end results the Ministry wants to…

The Relative Importance of Specific Self-Efficacy Sources in Pretraining Self-Efficacy Beliefs

ERIC Educational Resources Information Center

Howardson, Garett N.; Behrend, Tara S.

2015-01-01

Self-efficacy is clearly important for learning. Research identifying the most important sources of self-efficacy beliefs, however, has been somewhat limited to date in that different disciplines focus largely on different sources of self-efficacy. Whereas education researchers focus on Bandura's original sources of "enactive mastery,"…

Using Social Media to Improve Student-Instructor Communication in an Online Learning Environment

ERIC Educational Resources Information Center

Guo, Rong; Shen, Yide; Li, Lei

2018-01-01

The lack of effective faculty-student interaction has been identified as a main contributor to the high dropout rate in online education. For this paper, the authors conducted an empirical study using a social networking tool, specifically Facebook, to improve student-instructor communication and student performance in an online learning…

Students, Learning, and Race-Based Public Policy: A Look at Diversity Curriculum and Co-Curriculum.

ERIC Educational Resources Information Center

DeAngelo, Linda

This study is an attempt to bring together research examining diversity initiatives in curriculum and co-curriculum with research on race-based policies, specifically the policy of affirmative action in college admissions. The study attempted to identify and confirm unique background characteristics, beliefs, and predispositions that students…

Of Mental Models, Assumptions and Heuristics: The Case of Acids and Acid Strength

ERIC Educational Resources Information Center

McClary, LaKeisha Michelle

2010-01-01

This study explored what cognitive resources (i.e., units of knowledge necessary to learn) first-semester organic chemistry students used to make decisions about acid strength and how those resources guided the prediction, explanation and justification of trends in acid strength. We were specifically interested in the identifying and…

Vocational Career Guide for Connecticut. Revised Edition--1975.

ERIC Educational Resources Information Center

University Research Inst. of Connecticut, Inc., Wallingford.

A guide to career training programs below the baccalaureate level in Connecticut was compiled from a survey of all schools offering identifiable programs of formal education for careers. Intended as a tool to assist students and guidance counselors in learning about the schools and programs, the guide does not recommend any specific schools or…

Healing Classrooms: Therapeutic Possibilities in Academic Writing

ERIC Educational Resources Information Center

Batzer, Benjamin

2016-01-01

This article asks us to consider what the process of healing and composition pedagogy have to learn from each other. More specifically, it identifies how the therapeutic potential of writing, which has been largely neglected in the academy in recent years, can influence the ways we teach transferable writing skills. The article considers how…

Teacher Quality and Student Achievement: Making the Most of Recent Research. TQ Research & Policy Brief

ERIC Educational Resources Information Center

Goe, Laura; Stickler, Leslie M.

2008-01-01

While many studies attest that some teachers contribute more to their students' academic growth than other teachers, research has not been very successful at identifying the specific teacher qualifications, characteristics, and classroom practices that are most likely to improve student learning. Unfortunately, this is just the information that…

Preparing Teachers to Support Struggling First-Grade Readers

ERIC Educational Resources Information Center

Baker, Bettina

2007-01-01

The purpose of this report is to provide education professors teaching early literacy methods courses with information for beginning teachers to support struggling first-grade readers. This analysis identifies the specific word structures children are expected to know by the end of first grade, and shows the actual learning rates of these…

Theories in Developing Oral Communication for Specific Learner Group

ERIC Educational Resources Information Center

Hadi, Marham Jupri

2016-01-01

The current article presents some key theories most relevant to the development of oral communication skills in an Indonesian senior high school. Critical analysis on the learners' background is employed to figure out their strengths and weaknesses. The brief overview of the learning context and learners' characteristic are used to identify which…

Frequency-Specific, Binaural Stimulation of Students with Reading and Spelling Difficulties.

ERIC Educational Resources Information Center

Johansen, Kjeld

A study examined the hearing of learning disabled students (such as dyslexics) in an attempt to classify, identify, and design auditory stimulation procedures. Subjects, 40 students from seventh-grade classes and 40 volunteers (ages 9 to 23) with reading and spelling difficulties, were given listening tests. Results indicated that many of the…

Lessons Learned from a Disabilities Accessible Study Abroad Trip

ERIC Educational Resources Information Center

Twill, Sarah E.; Guzzo, Gaetano R.

2012-01-01

In the summer of 2009, a two-week study abroad program was specifically designed and executed to include students with disabilities. Recruitment efforts resulted in 11 student participants, six of who were identified as having a disability by the University's Office of Disability Services. Students participated in a two-course academic program;…

Effectiveness of an Enhanced Peer Assessment Program: Introducing Education into Regulatory Assessment

ERIC Educational Resources Information Center

Wenghofer, Elizabeth F.; Way, Daniel; Moxam, Raquel Shaw; Wu, Henry; Faulkner, Daniel; Klass, Daniel J.

2006-01-01

Introduction: The College of Physicians and Surgeons of Ontario developed an enhanced peer assessment (EPA), the goal of which was to provide participating physicians educational value by helping them identify specific learning needs and aligning the assessment process with the principles of continuing education and professional development. In…

Component Theories for Human Resource Development in China: A Proposition

ERIC Educational Resources Information Center

Schmidtke, Carsten; Chen, Peng

2016-01-01

Chinese scholars have not yet achieved consensus on the specific theories that should be part of a Chinese HRD theory base. A review of the Chinese HRD literature has identified four theory domains frequently mentioned as a possible foundation for the discipline: management, economics, sociology, and psychology/learning. Considering Swanson and…

Young Children's Preferences: What Stimulates Children's Cognitive Play in Outdoor Preschools?

ERIC Educational Resources Information Center

Zamani, Zahra

2017-01-01

A number of studies have identified childcare environments as significant resources for children's development, learning through play, and contact with nature. However, there is a lack of knowledge about how, from a child's perspective, specific outdoor physical environments in preschools stimulate children's cognitive play. Emphasizing on the…

An Ethnographic Approach to Syllabus Design: A Case Study of the Indian Institute of Science, Bangalore.

ERIC Educational Resources Information Center

Ramani, Esther; And Others

1988-01-01

Argues for an ethnographic reorientation to needs analysis and syllabus design in English for specific purposes in advanced postgraduate centers of science and technology. The seven-stage framework (specify learners, analyze needs, specify enabling objectives, select materials, identify teaching/learning activities, evaluate, and revise) used to…

Locating the Problem Within: Race, Learning Disabilities, and Science

ERIC Educational Resources Information Center

Freedman, Justin E.; Ferri, Beth A.

2017-01-01

Background/Context: In this paper we draw on an intersectional critical framework to analyze and account for the simultaneous interworkings of race and dis/ability. Specifically, we draw on this framework to examine two aims of modern science: (a) to identify distinct biological markers of race and (b) to locate biological and neurological origins…

Science literacy and academic identity formulation

NASA Astrophysics Data System (ADS)

Reveles, John M.; Cordova, Ralph; Kelly, Gregory J.

2004-12-01

The purpose of this article is to report findings from an ethnographic study that focused on the co-development of science literacy and academic identity formulation within a third-grade classroom. Our theoretical framework draws from sociocultural theory and studies of scientific literacy. Through analysis of classroom discourse, we identified opportunities afforded students to learn specific scientific knowledge and practices during a series of science investigations. The results of this study suggest that the collective practice of the scientific conversations and activities that took place within this classroom enabled students to engage in the construction of communal science knowledge through multiple textual forms. By examining the ways in which students contributed to the construction of scientific understanding, and then by examining their performances within and across events, we present evidence of the co-development of students' academic identities and scientific literacy. Students' communication and participation in science during the investigations enabled them to learn the structure of the discipline by identifying and engaging in scientific activities. The intersection of academic identities with the development of scientific literacy provides a basis for considering specific ways to achieve scientific literacy for all students.

Classifying Structures in the ISM with Machine Learning Techniques

NASA Astrophysics Data System (ADS)

Beaumont, Christopher; Goodman, A. A.; Williams, J. P.

2011-01-01

The processes which govern molecular cloud evolution and star formation often sculpt structures in the ISM: filaments, pillars, shells, outflows, etc. Because of their morphological complexity, these objects are often identified manually. Manual classification has several disadvantages; the process is subjective, not easily reproducible, and does not scale well to handle increasingly large datasets. We have explored to what extent machine learning algorithms can be trained to autonomously identify specific morphological features in molecular cloud datasets. We show that the Support Vector Machine algorithm can successfully locate filaments and outflows blended with other emission structures. When the objects of interest are morphologically distinct from the surrounding emission, this autonomous classification achieves >90% accuracy. We have developed a set of IDL-based tools to apply this technique to other datasets.

Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration.

PubMed

Matsuba, Shinji; Tabuchi, Hitoshi; Ohsugi, Hideharu; Enno, Hiroki; Ishitobi, Naofumi; Masumoto, Hiroki; Kiuchi, Yoshiaki

2018-05-09

To predict exudative age-related macular degeneration (AMD), we combined a deep convolutional neural network (DCNN), a machine-learning algorithm, with Optos, an ultra-wide-field fundus imaging system. First, to evaluate the diagnostic accuracy of DCNN, 364 photographic images (AMD: 137) were amplified and the area under the curve (AUC), sensitivity and specificity were examined. Furthermore, in order to compare the diagnostic abilities between DCNN and six ophthalmologists, we prepared yield 84 sheets comprising 50% of normal and wet-AMD data each, and calculated the correct answer rate, specificity, sensitivity, and response times. DCNN exhibited 100% sensitivity and 97.31% specificity for wet-AMD images, with an average AUC of 99.76%. Moreover, comparing the diagnostic abilities of DCNN versus six ophthalmologists, the average accuracy of the DCNN was 100%. On the other hand, the accuracy of ophthalmologists, determined only by Optos images without a fundus examination, was 81.9%. A combination of DCNN with Optos images is not better than a medical examination; however, it can identify exudative AMD with a high level of accuracy. Our system is considered useful for screening and telemedicine.

Coming Out in Class: Challenges and Benefits of Active Learning in a Biology Classroom for LGBTQIA Students

PubMed Central

Cooper, Katelyn M.; Brownell, Sara E.

2016-01-01

As we transition our undergraduate biology classrooms from traditional lectures to active learning, the dynamics among students become more important. These dynamics can be influenced by student social identities. One social identity that has been unexamined in the context of undergraduate biology is the spectrum of lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQIA) identities. In this exploratory interview study, we probed the experiences and perceptions of seven students who identify as part of the LGBTQIA community. We found that students do not always experience the undergraduate biology classroom to be a welcoming or accepting place for their identities. In contrast to traditional lectures, active-learning classes increase the relevance of their LGBTQIA identities due to the increased interactions among students during group work. Finally, working with other students in active-learning classrooms can present challenges and opportunities for students considering their LGBTQIA identity. These findings indicate that these students’ LGBTQIA identities are affecting their experience in the classroom and that there may be specific instructional practices that can mitigate some of the possible obstacles. We hope that this work can stimulate discussions about how to broadly make our active-learning biology classes more inclusive of this specific population of students. PMID:27543636

What Is Learned when Concept Learning Fails?--A Theory of Restricted-Domain Relational Learning

ERIC Educational Resources Information Center

Wright, Anthony A.; Lickteig, Mark T.

2010-01-01

Two matching-to-sample (MTS) and four same/different (S/D) experiments employed tests to distinguish between item-specific learning and relational learning. One MTS experiment showed item-specific learning when concept learning failed (i.e., no novel-stimulus transfer). Another MTS experiment showed item-specific learning when pigeons'…

An exploration of the relationship between academic and experiential learning approaches in vocational education.

PubMed

de Jong, Jan A Stavenga; Wierstra, Ronny F A; Hermanussen, José

2006-03-01

Research on individual learning approaches (or learning styles) is split in two traditions, one of which is biased towards academic learning, and the other towards learning from direct experience. In the reported study, the two traditions are linked by investigating the relationships between school-based (academic) and work-based (experiential) learning approaches of students in vocational education programs. Participants were 899 students of a Dutch school for secondary vocational education; 758 provided data on school-based learning, and 407 provided data on work-based learning, resulting in an overlap of 266 students from whom data were obtained on learning in both settings. Learning approaches in school and work settings were measured with questionnaires. Using factor analysis and cluster analysis, items and students were grouped, both with respect to school- and work-based learning. The study identified two academic learning dimensions (constructive learning and reproductive learning), and three experiential learning dimensions (analysis, initiative, and immersion). Construction and analysis were correlated positively, and reproduction and initiative negatively. Cluster analysis resulted in the identification of three school-based learning orientations and three work-based learning orientations. The relation between the two types of learning orientations, expressed in Cramér's V, appeared to be weak. It is concluded that learning approaches are relatively context specific, which implies that neither theoretical tradition can claim general applicability.

Attenuating GABAA Receptor Signaling in Dopamine Neurons Selectively Enhances Reward Learning and Alters Risk Preference in Mice

PubMed Central

Parker, Jones G.; Wanat, Matthew J.; Soden, Marta E.; Ahmad, Kinza; Zweifel, Larry S.; Bamford, Nigel S.; Palmiter, Richard D.

2011-01-01

Phasic dopamine transmission encodes the value of reward-predictive stimuli and influences both learning and decision-making. Altered dopamine signaling is associated with psychiatric conditions characterized by risky choices such as pathological gambling. These observations highlight the importance of understanding how dopamine neuron activity is modulated. While excitatory drive onto dopamine neurons is critical for generating phasic dopamine responses, emerging evidence suggests that inhibitory signaling also modulates these responses. To address the functional importance of inhibitory signaling in dopamine neurons, we generated mice lacking the β3 subunit of the GABAA receptor specifically in dopamine neurons (β3-KO mice) and examined their behavior in tasks that assessed appetitive learning, aversive learning, and risk preference. Dopamine neurons in midbrain slices from β3-KO mice exhibited attenuated GABA-evoked inhibitory post-synaptic currents. Furthermore, electrical stimulation of excitatory afferents to dopamine neurons elicited more dopamine release in the nucleus accumbens of β3-KO mice as measured by fast-scan cyclic voltammetry. β3-KO mice were more active than controls when given morphine, which correlated with potential compensatory upregulation of GABAergic tone onto dopamine neurons. β3-KO mice learned faster in two food-reinforced learning paradigms, but extinguished their learned behavior normally. Enhanced learning was specific for appetitive tasks, as aversive learning was unaffected in β3-KO mice. Finally, we found that β3-KO mice had enhanced risk preference in a probabilistic selection task that required mice to choose between a small certain reward and a larger uncertain reward. Collectively, these findings identify a selective role for GABAA signaling in dopamine neurons in appetitive learning and decision-making. PMID:22114279

A matter of timing: harm reduction in learned helplessness.

PubMed

Richter, Sophie Helene; Sartorius, Alexander; Gass, Peter; Vollmayr, Barbara

2014-11-03

Learned helplessness has excellent validity as an animal model for depression, but problems in reproducibility limit its use and the high degree of stress involved in the paradigm raises ethical concerns. We therefore aimed to identify which and how many trials of the learned helplessness paradigm are necessary to distinguish between helpless and non-helpless rats. A trial-by-trial reanalysis of tests from 163 rats with congenital learned helplessness or congenital non-learned helplessness and comparison of 82 rats exposed to inescapable shock with 38 shock-controls revealed that neither the first test trials, when rats showed unspecific hyperlocomotion, nor trials of the last third of the test, when almost all animals responded quickly to the stressor, contributed to sensitivity and specificity of the test. Considering only trials 3-10 improved the classification of helpless and non-helpless rats. The refined analysis allows abbreviation of the test for learned helplessness from 15 trials to 10 trials thereby reducing pain and stress of the experimental animals without losing statistical power.

[Influence of learning styles of nursing students on teaching strategies choice].

PubMed

Vacas Pérez, Juan Crisostomo; Mérida Serrano, Rosario; Molina Recio, Guillermo; Mesa Blanco, María del Pilar

2012-12-01

The objective of this research focuses on the framework of teaching strategies, by acknowledging learning styles as first determination and, in relation to the changes that these are going through, identifying the teaching strategies best rated and preferred by the students. This is a prospective open cohort study with the students of Nursing Diploma 2007/2010 of the Universidad de Córdoba. Once the population was identified in the first year (first analysis), annual measurings were undertaken every year during their training. In order to study the learning styles, the questionnaire CHAEA was administered and a scale from 1 to 10 (1 = highest, 10 = lowest) was used to determine the preferences for learning strategies. The results show the variability of the learner (up to 11 styles). However, the dominant style is the reflective, followed by the theoretical and the pragmatic. The least developed was the active style. As the years of training go by, a tendency towards a dual style (reflective-theoretical) can be observed. In relation to teaching strategies, the preferred ones were those set in professional areas, workshops and debates. Relevant changes were also seen as they advanced in their training. The results establish a specific significant relationship between learning styles and teaching strategies.

Determining the barriers and facilitators to adopting best practices in the management of poststroke unilateral spatial neglect: results of a qualitative study.

PubMed

Petzold, Anita; Korner-Bitensky, Nicol; Salbach, Nancy M; Ahmed, Sara; Menon, Anita; Ogourtsova, Tatiana

2014-01-01

A gap exists between best and actual management of poststroke unilateral spatial neglect (USN). Given the negative impact of USN on poststroke recovery, knowledge translation efforts are needed to optimize USN management. To date, no study has investigated the specific barriers and facilitators affecting USN management during the acute care process. To identify the facilitators and barriers that affect evidence-based practice use by occupational therapists (the primary discipline managing USN) when treating individuals with acute poststroke USN. Focus group methodology elicited information from 9 acute care occupational therapists. Key barriers identified included lack of basic evidence-based practice skills specific to USN treatment and personal motivation to change current practices and engrained habits. Key facilitators included the presence of a multidisciplinary stroke team, recent graduation, and an environment with access to learning time and resources. Synthesized Web-based learning was also seen as important to uptake of best practices. It is estimated that upwards of 40% of patients experience poststroke USN in the acute phase, and we have evidence of poor early management. This study identified several modifiable factors that prepare the ground for the creation and testing of a multimodal knowledge translation intervention aimed at improving clinicians' best practice management of poststroke USN.

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System.

PubMed

Friedman, Charles; Rubin, Joshua; Brown, Jeffrey; Buntin, Melinda; Corn, Milton; Etheredge, Lynn; Gunter, Carl; Musen, Mark; Platt, Richard; Stead, William; Sullivan, Kevin; Van Houweling, Douglas

2015-01-01

The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale--marrying technology, process, and policy--is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges. The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11-12 April 2013. The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges. The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a 'new science of learning systems', create an important agenda for informatics and related disciplines. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Assessing Teachers' Science Content Knowledge: A Strategy for Assessing Depth of Understanding

NASA Astrophysics Data System (ADS)

McConnell, Tom J.; Parker, Joyce M.; Eberhardt, Jan

2013-06-01

One of the characteristics of effective science teachers is a deep understanding of science concepts. The ability to identify, explain and apply concepts is critical in designing, delivering and assessing instruction. Because some teachers have not completed extensive courses in some areas of science, especially in middle and elementary grades, many professional development programs attempt to strengthen teachers' content knowledge. Assessing this content knowledge is challenging. Concept inventories are reliable and efficient, but do not reveal depth of knowledge. Interviews and observations are time-consuming. The Problem Based Learning Project for Teachers implemented a strategy that includes pre-post instruments in eight content strands that permits blind coding of responses and comparison across teachers and groups of teachers. The instruments include two types of open-ended questions that assess both general knowledge and the ability to apply Big Ideas related to specific science topics. The coding scheme is useful in revealing patterns in prior knowledge and learning, and identifying ideas that are challenging or not addressed by learning activities. The strengths and limitations of the scoring scheme are identified through comparison of the findings to case studies of four participating teachers from middle and elementary schools. The cases include examples of coded pre- and post-test responses to illustrate some of the themes seen in teacher learning. The findings raise questions for future investigation that can be conducted using analyses of the coded responses.

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

PubMed Central

Friedman, Charles; Rubin, Joshua; Brown, Jeffrey; Buntin, Melinda; Corn, Milton; Etheredge, Lynn; Gunter, Carl; Musen, Mark; Platt, Richard; Stead, William; Sullivan, Kevin; Van Houweling, Douglas

2015-01-01

Objective The capability to share data, and harness its potential to generate knowledge rapidly and inform decisions, can have transformative effects that improve health. The infrastructure to achieve this goal at scale—marrying technology, process, and policy—is commonly referred to as the Learning Health System (LHS). Achieving an LHS raises numerous scientific challenges. Materials and methods The National Science Foundation convened an invitational workshop to identify the fundamental scientific and engineering research challenges to achieving a national-scale LHS. The workshop was planned by a 12-member committee and ultimately engaged 45 prominent researchers spanning multiple disciplines over 2 days in Washington, DC on 11–12 April 2013. Results The workshop participants collectively identified 106 research questions organized around four system-level requirements that a high-functioning LHS must satisfy. The workshop participants also identified a new cross-disciplinary integrative science of cyber-social ecosystems that will be required to address these challenges. Conclusions The intellectual merit and potential broad impacts of the innovations that will be driven by investments in an LHS are of great potential significance. The specific research questions that emerged from the workshop, alongside the potential for diverse communities to assemble to address them through a ‘new science of learning systems’, create an important agenda for informatics and related disciplines. PMID:25342177

An integrated multi-sensor fusion-based deep feature learning approach for rotating machinery diagnosis

NASA Astrophysics Data System (ADS)

Liu, Jie; Hu, Youmin; Wang, Yan; Wu, Bo; Fan, Jikai; Hu, Zhongxu

2018-05-01

The diagnosis of complicated fault severity problems in rotating machinery systems is an important issue that affects the productivity and quality of manufacturing processes and industrial applications. However, it usually suffers from several deficiencies. (1) A considerable degree of prior knowledge and expertise is required to not only extract and select specific features from raw sensor signals, and but also choose a suitable fusion for sensor information. (2) Traditional artificial neural networks with shallow architectures are usually adopted and they have a limited ability to learn the complex and variable operating conditions. In multi-sensor-based diagnosis applications in particular, massive high-dimensional and high-volume raw sensor signals need to be processed. In this paper, an integrated multi-sensor fusion-based deep feature learning (IMSFDFL) approach is developed to identify the fault severity in rotating machinery processes. First, traditional statistics and energy spectrum features are extracted from multiple sensors with multiple channels and combined. Then, a fused feature vector is constructed from all of the acquisition channels. Further, deep feature learning with stacked auto-encoders is used to obtain the deep features. Finally, the traditional softmax model is applied to identify the fault severity. The effectiveness of the proposed IMSFDFL approach is primarily verified by a one-stage gearbox experimental platform that uses several accelerometers under different operating conditions. This approach can identify fault severity more effectively than the traditional approaches.

Implementing the community health worker model within diabetes management: challenges and lessons learned from programs across the United States.

PubMed

Cherrington, Andrea; Ayala, Guadalupe X; Amick, Halle; Allison, Jeroan; Corbie-Smith, Giselle; Scarinci, Isabel

2008-01-01

The purpose of this qualitative study was to examine methods of implementation of the community health worker (CHW) model within diabetes programs, as well as related challenges and lessons learned. Semi-structured interviews were conducted with program managers. Four databases (PubMed, CINAHL, ISI Web of Knowledge, PsycInfo), the CDC's 1998 directory of CHW programs, and Google Search Engine were used to identify CHW programs. Criteria for inclusion were: DM program; used CHW strategy; occurred in United States. Two independent reviewers performed content analyses to identify major themes and findings. Sixteen programs were assessed, all but 3 focused on minority populations. Most CHWs were recruited informally; 6 programs required CHWs to have diabetes. CHW roles and responsibilities varied across programs; educator was the most commonly identified role. Training also varied in terms of both content and intensity. All programs gave CHWs remuneration for their work. Common challenges included difficulties with CHW retention, intervention fidelity and issues related to sustainability. Cultural and gender issues also emerged. Examples of lessons learned included the need for community buy-in and the need to anticipate nondiabetes related issues. Lessons learned from these programs may be useful to others as they apply the CHW model to diabetes management within their own communities. Further research is needed to elucidate the specific features of this model necessary to positively impact health outcomes.

Goal orientation, perceived task outcome and task demands in mathematics tasks: effects on students' attitude in actual task settings.

PubMed

Seegers, Gerard; van Putten, Cornelis M; de Brabander, Cornelis J

2002-09-01

In earlier studies, it has been found that students' domain-specific cognitions and personal learning goals (goal orientation) influence task-specific appraisals of actual learning tasks. The relations between domain-specific and task-specific variables have been specified in the model of adaptive learning. In this study, additional influences, i.e., perceived task outcome on a former occasion and variations in task demands, were investigated. The purpose of this study was to identify personality and situational variables that mediate students' attitude when confronted with a mathematics task. Students worked on a mathematics task in two subsequent sessions. Effects of perceived task outcome at the first session on students' attitude at the second session were investigated. In addition, we investigated how differences in task demands influenced students' attitude. Variations in task demands were provoked by different conditions in task-instruction. In one condition, students were told that the result on the test would add to their mark on mathematics. This outcome orienting condition was contrasted with a task-orienting condition where students were told that the results on the test would not be used to give individual grades. Participants were sixth grade students (N = 345; aged 11-12 years) from 14 primary schools. Multivariate and univariate analyses of (co)variance were applied to the data. Independent variables were goal orientation, task demands, and perceived task outcome, with task-specific variables (estimated competence for the task, task attraction, task relevance, and willingness to invest effort) as the dependent variables. The results showed that previous perceived task outcome had a substantial impact on students' attitude. Additional but smaller effects were found for variation in task demands. Furthermore, effects of previous perceived task outcome and task demands were related to goal orientation. The resulting pattern confirmed that, in general, performance-oriented learning goals emphasised the negative impact of failure experiences, whereas task-oriented learning goals had a strengthening effect on how success experiences influenced students' attitude.

A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins.

PubMed

Liu, Yu-Cheng; Yang, Meng-Han; Lin, Win-Li; Huang, Chien-Kang; Oyang, Yen-Jen

2009-12-03

Proteins are dynamic macromolecules which may undergo conformational transitions upon changes in environment. As it has been observed in laboratories that protein flexibility is correlated to essential biological functions, scientists have been designing various types of predictors for identifying structurally flexible regions in proteins. In this respect, there are two major categories of predictors. One category of predictors attempts to identify conformationally flexible regions through analysis of protein tertiary structures. Another category of predictors works completely based on analysis of the polypeptide sequences. As the availability of protein tertiary structures is generally limited, the design of predictors that work completely based on sequence information is crucial for advances of molecular biology research. In this article, we propose a novel approach to design a sequence-based predictor for identifying conformationally ambivalent regions in proteins. The novelty in the design stems from incorporating two classifiers based on two distinctive supervised learning algorithms that provide complementary prediction powers. Experimental results show that the overall performance delivered by the hybrid predictor proposed in this article is superior to the performance delivered by the existing predictors. Furthermore, the case study presented in this article demonstrates that the proposed hybrid predictor is capable of providing the biologists with valuable clues about the functional sites in a protein chain. The proposed hybrid predictor provides the users with two optional modes, namely, the high-sensitivity mode and the high-specificity mode. The experimental results with an independent testing data set show that the proposed hybrid predictor is capable of delivering sensitivity of 0.710 and specificity of 0.608 under the high-sensitivity mode, while delivering sensitivity of 0.451 and specificity of 0.787 under the high-specificity mode. Though experimental results show that the hybrid approach designed to exploit the complementary prediction powers of distinctive supervised learning algorithms works more effectively than conventional approaches, there exists a large room for further improvement with respect to the achieved performance. In this respect, it is of interest to investigate the effects of exploiting additional physiochemical properties that are related to conformational ambivalence. Furthermore, it is of interest to investigate the effects of incorporating lately-developed machine learning approaches, e.g. the random forest design and the multi-stage design. As conformational transition plays a key role in carrying out several essential types of biological functions, the design of more advanced predictors for identifying conformationally ambivalent regions in proteins deserves our continuous attention.

Exploring the use of student-led simulated practice learning in pre-registration nursing programmes.

PubMed

Brown, Jo; Collins, Guy; Gratton, Olivia

2017-09-20

Simulated practice learning is used in pre-registration nursing programmes to replicate situations that nursing students are likely to encounter in clinical practice, but in a safe and protected academic environment. However, lecturer-led simulated practice learning has been perceived as detached from contemporary nursing practice by some nursing students. Therefore, a pilot project was implemented in the authors' university to explore the use of student-led simulated practice learning and its potential benefits for nursing students. To evaluate the effectiveness of student-led simulated practice learning in pre-registration nursing programmes. The authors specifically wanted to: enhance the students' skills; improve their critical thinking and reflective strategies; and develop their leadership and management techniques. A literature review was undertaken to examine the evidence supporting student-led simulated practice learning. A skills gap analysis was then conducted with 35 third-year nursing students to identify their learning needs, from which suitable simulated practice learning scenarios and sessions were developed and undertaken. These sessions were evaluated using debriefs following each of the sessions, as well as informal discussions with the nursing students. The pilot project identified that student-led simulated learning: developed nursing students' ability to plan and facilitate colleagues' practice learning; enabled nursing students to develop their mentoring skills; reinforced the nursing students' self-awareness, which contributed to their personal development; and demonstrated the importance of peer feedback and support through the debriefs. Challenges included overcoming some students' resistance to the project and that some lecturers were initially concerned that nursing students may not have the clinical expertise to lead the simulated practice learning sessions effectively. This pilot project has demonstrated how student-led simulated practice learning sessions could be used to engage nursing students as partners in their learning, enhance their knowledge and skills, and promote self-directed learning. ©2012 RCN Publishing Company Ltd. All rights reserved. Not to be copied, transmitted or recorded in any way, in whole or part, without prior permission of the publishers.

Cdk5 Contributes to Huntington's Disease Learning and Memory Deficits via Modulation of Brain Region-Specific Substrates.

PubMed

Alvarez-Periel, Elena; Puigdellívol, Mar; Brito, Verónica; Plattner, Florian; Bibb, James A; Alberch, Jordi; Ginés, Silvia

2017-12-29

Cognitive deficits are a major hallmark of Huntington's disease (HD) with a great impact on the quality of patient's life. Gaining a better understanding of the molecular mechanisms underlying learning and memory impairments in HD is, therefore, of critical importance. Cdk5 is a proline-directed Ser/Thr kinase involved in the regulation of synaptic plasticity and memory processes that has been associated with several neurodegenerative disorders. In this study, we aim to investigate the role of Cdk5 in learning and memory impairments in HD using a novel animal model that expresses mutant huntingtin (mHtt) and has genetically reduced Cdk5 levels. Genetic reduction of Cdk5 in mHtt knock-in mice attenuated both corticostriatal learning deficits as well as hippocampal-dependent memory decline. Moreover, the molecular mechanisms by which Cdk5 counteracts the mHtt-induced learning and memory impairments appeared to be differentially regulated in a brain region-specific manner. While the corticostriatal learning deficits are attenuated through compensatory regulation of NR2B surface levels, the rescue of hippocampal-dependent memory was likely due to restoration of hippocampal dendritic spine density along with an increase in Rac1 activity. This work identifies Cdk5 as a critical contributor to mHtt-induced learning and memory deficits. Furthermore, we show that the Cdk5 downstream targets involved in memory and learning decline differ depending on the brain region analyzed suggesting that distinct Cdk5 effectors could be involved in cognitive impairments in HD.

Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson's Disease.

PubMed

Gao, Chao; Sun, Hanbo; Wang, Tuo; Tang, Ming; Bohnen, Nicolaas I; Müller, Martijn L T M; Herman, Talia; Giladi, Nir; Kalinin, Alexandr; Spino, Cathie; Dauer, William; Hausdorff, Jeffrey M; Dinov, Ivo D

2018-05-08

In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan and Tel Aviv Sourasky Medical Center). Using machine learning techniques, we construct predictive models to discriminate fallers and non-fallers. Through controlled feature selection, we identified the most salient predictors of patient falls including gait speed, Hoehn and Yahr stage, postural instability and gait difficulty-related measurements. The model-based and model-free analytical methods we employed included logistic regression, random forests, support vector machines, and XGboost. The reliability of the forecasts was assessed by internal statistical (5-fold) cross validation as well as by external out-of-bag validation. Four specific challenges were addressed in the study: Challenge 1, develop a protocol for harmonizing and aggregating complex, multisource, and multi-site Parkinson's disease data; Challenge 2, identify salient predictive features associated with specific clinical traits, e.g., patient falls; Challenge 3, forecast patient falls and evaluate the classification performance; and Challenge 4, predict tremor dominance (TD) vs. posture instability and gait difficulty (PIGD). Our findings suggest that, compared to other approaches, model-free machine learning based techniques provide a more reliable clinical outcome forecasting of falls in Parkinson's patients, for example, with a classification accuracy of about 70-80%.

Proteome labelling and protein identification in specific tissues and at specific developmental stages in an animal

PubMed Central

Elliott, Thomas S.; Townsley, Fiona M.; Bianco, Ambra; Ernst, Russell J.; Sachdeva, Amit; Elsässer, Simon J.; Davis, Lloyd; Lang, Kathrin; Pisa, Rudolf; Greiss, Sebastian.; Lilley, Kathryn S.; Chin, Jason W.

2014-01-01

Identifying the proteins synthesized in defined cells at specific times in an animal will facilitate the study of cellular functions and dynamic processes. Here we introduce stochastic orthogonal recoding of translation with chemoselective modification (SORT-M) to address this challenge. SORT-M involves modifying cells to express an orthogonal aminoacyl-tRNA synthetase/tRNA pair to enable the incorporation of chemically modifiable analogs of amino acids at diverse sense codons in cells in rich media. We apply SORT-M to Drosophila melanogaster fed standard food to label and image proteins in specific tissues at precise developmental stages with diverse chemistries, including cyclopropene-tetrazine inverse electron demand Diels-Alder cycloaddition reactions. We also use SORT-M to identify proteins synthesized in germ cells of the fly ovary without dissection. SORT-M will facilitate the definition of proteins synthesized in specific sets of cells to study development, and learning and memory in flies, and may be extended to other animals. PMID:24727715

Identifying functional cancer-specific miRNA-mRNA interactions in testicular germ cell tumor.

PubMed

Sedaghat, Nafiseh; Fathy, Mahmood; Modarressi, Mohammad Hossein; Shojaie, Ali

2016-09-07

Testicular cancer is the most common cancer in men aged between 15 and 35 and more than 90% of testicular neoplasms are originated at germ cells. Recent research has shown the impact of microRNAs (miRNAs) in different types of cancer, including testicular germ cell tumor (TGCT). MicroRNAs are small non-coding RNAs which affect the development and progression of cancer cells by binding to mRNAs and regulating their expressions. The identification of functional miRNA-mRNA interactions in cancers, i.e. those that alter the expression of genes in cancer cells, can help delineate post-regulatory mechanisms and may lead to new treatments to control the progression of cancer. A number of sequence-based methods have been developed to predict miRNA-mRNA interactions based on the complementarity of sequences. While necessary, sequence complementarity is, however, not sufficient for presence of functional interactions. Alternative methods have thus been developed to refine the sequence-based interactions using concurrent expression profiles of miRNAs and mRNAs. This study aims to find functional cancer-specific miRNA-mRNA interactions in TGCT. To this end, the sequence-based predicted interactions are first refined using an ensemble learning method, based on two well-known methods of learning miRNA-mRNA interactions, namely, TaLasso and GenMiR++. Additional functional analyses were then used to identify a subset of interactions to be most likely functional and specific to TGCT. The final list of 13 miRNA-mRNA interactions can be potential targets for identifying TGCT-specific interactions and future laboratory experiments to develop new therapies. Copyright © 2016 Elsevier Ltd. All rights reserved.

Identifying Key Components for an Effective Case Report Poster: An Observational Study

PubMed Central

Paranjape, Anuradha; Estrada, Carlos

2008-01-01

BACKGROUND Residents demonstrate scholarly activity by presenting posters at academic meetings. Although recommendations from national organizations are available, evidence identifying which components are most important is not. OBJECTIVE To develop and test an evaluation tool to measure the quality of case report posters and identify the specific components most in need of improvement. DESIGN Faculty evaluators reviewed case report posters and provided on-site feedback to presenters at poster sessions of four annual academic general internal medicine meetings. A newly developed ten-item evaluation form measured poster quality for specific components of content, discussion, and format (5-point Likert scale, 1 = lowest, 5 = highest). Main outcome measure(s): Evaluation tool performance, including Cronbach alpha and inter-rater reliability, overall poster scores, differences across meetings and evaluators and specific components of the posters most in need of improvement. RESULTS Forty-five evaluators from 20 medical institutions reviewed 347 posters. Cronbach’s alpha of the evaluation form was 0.84 and inter-rater reliability, Spearman’s rho 0.49 ( < 0.001). The median score was 4.1 (Q1 -Q3, 3.7-4.6)(Q1 = 25th, Q3 = 75th percentile). The national meeting median score was higher than the regional meetings (4.4 vs, 4.0,  < 0.001). We found no difference in faculty scores. The following areas were identified as most needing improvement: clearly state learning objectives, tie conclusions to learning objectives, and use appropriate amount of words. CONCLUSIONS Our evaluation tool provides empirical data to guide trainees as they prepare posters for presentation which may improve poster quality and enhance their scholarly productivity. PMID:19089510

Self-regulated learning processes of medical students during an academic learning task.

PubMed

Gandomkar, Roghayeh; Mirzazadeh, Azim; Jalili, Mohammad; Yazdani, Kamran; Fata, Ladan; Sandars, John

2016-10-01

This study was designed to identify the self-regulated learning (SRL) processes of medical students during a biomedical science learning task and to examine the associations of the SRL processes with previous performance in biomedical science examinations and subsequent performance on a learning task. A sample of 76 Year 1 medical students were recruited based on their performance in biomedical science examinations and stratified into previous high and low performers. Participants were asked to complete a biomedical science learning task. Participants' SRL processes were assessed before (self-efficacy, goal setting and strategic planning), during (metacognitive monitoring) and after (causal attributions and adaptive inferences) their completion of the task using an SRL microanalytic interview. Descriptive statistics were used to analyse the means and frequencies of SRL processes. Univariate and multiple logistic regression analyses were conducted to examine the associations of SRL processes with previous examination performance and the learning task performance. Most participants (from 88.2% to 43.4%) reported task-specific processes for SRL measures. Students who exhibited higher self-efficacy (odds ratio [OR] 1.44, 95% confidence interval [CI] 1.09-1.90) and reported task-specific processes for metacognitive monitoring (OR 6.61, 95% CI 1.68-25.93) and causal attributions (OR 6.75, 95% CI 2.05-22.25) measures were more likely to be high previous performers. Multiple analysis revealed that similar SRL measures were associated with previous performance. The use of task-specific processes for causal attributions (OR 23.00, 95% CI 4.57-115.76) and adaptive inferences (OR 27.00, 95% CI 3.39-214.95) measures were associated with being a high learning task performer. In multiple analysis, only the causal attributions measure was associated with high learning task performance. Self-efficacy, metacognitive monitoring and causal attributions measures were associated positively with previous performance. Causal attributions and adaptive inferences measures were associated positively with learning task performance. These findings may inform remediation interventions in the early years of medical school training. © 2016 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Automated recognition of stratigraphic marker shales from geophysical logs in iron ore deposits

NASA Astrophysics Data System (ADS)

Silversides, Katherine; Melkumyan, Arman; Wyman, Derek; Hatherly, Peter

2015-04-01

The mining of stratiform ore deposits requires a means of determining the location of stratigraphic boundaries. A variety of geophysical logs may provide the required data but, in the case of banded iron formation hosted iron ore deposits in the Hamersley Ranges of Western Australia, only one geophysical log type (natural gamma) is collected for this purpose. The information from these logs is currently processed by slow manual interpretation. In this paper we present an alternative method of automatically identifying recurring stratigraphic markers in natural gamma logs from multiple drill holes. Our approach is demonstrated using natural gamma geophysical logs that contain features corresponding to the presence of stratigraphically important marker shales. The host stratigraphic sequence is highly consistent throughout the Hamersley and the marker shales can therefore be used to identify the stratigraphic location of the banded iron formation (BIF) or BIF hosted ore. The marker shales are identified using Gaussian Processes (GP) trained by either manual or active learning methods and the results are compared to the existing geological interpretation. The manual method involves the user selecting the signatures for improving the library, whereas the active learning method uses the measure of uncertainty provided by the GP to select specific examples for the user to consider for addition. The results demonstrate that both GP methods can identify a feature, but the active learning approach has several benefits over the manual method. These benefits include greater accuracy in the identified signatures, faster library building, and an objective approach for selecting signatures that includes the full range of signatures across a deposit in the library. When using the active learning method, it was found that the current manual interpretation could be replaced in 78.4% of the holes with an accuracy of 95.7%.

Challenges in nourishing the intrauterine growth-restricted foetus - Lessons learned from studies in the intrauterine growth-restricted foetal sheep.

PubMed

Hay, William W; Brown, Laura D; Rozance, Paul J; Wesolowski, Stephanie R; Limesand, Sean W

2016-08-01

Previous attempts to improve growth and development of the intrauterine growth-restricted (IUGR) foetus during pregnancy have not worked or caused harm. Our research identifies tissue-specific mechanisms underlying foetal growth restriction and then tests strategies to improve growth and ameliorate many of the metabolic problems before the infant is born. The goal of our studies is to reduce the impact of foetal growth restriction at critical stages of development on the lifelong complications of IUGR offspring. Defining specific mechanisms that cause growth restriction in the foetus might identify specific nutrients and hormones that could be given to the mother to improve foetal growth and reduce metabolic complications, using strategies first tested in our IUGR animal model. ©2016 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.

Cortical regions recruited for complex active-learning strategies and action planning exhibit rapid reactivation during memory retrieval.

PubMed

Voss, Joel L; Galvan, Ashley; Gonsalves, Brian D

2011-12-01

Memory retrieval can involve activity in the same sensory cortical regions involved in perception of the original event, and this neural "reactivation" has been suggested as an important mechanism of memory retrieval. However, it is still unclear if fragments of experience other than sensory information are retained and later reactivated during retrieval. For example, learning in non-laboratory settings generally involves active exploration of memoranda, thus requiring the generation of action plans for behavior and the use of strategies deployed to improve subsequent memory performance. Is information pertaining to action planning and strategic processing retained and reactivated during retrieval? To address this question, we compared ERP correlates of memory retrieval for objects that had been studied in an active manner involving action planning and strategic processing to those for objects that had been studied passively. Memory performance was superior for actively studied objects, and unique ERP retrieval correlates for these objects were identified when subjects remembered the specific spatial locations at which objects were studied. Early-onset frontal shifts in ERP correlates of retrieval were noted for these objects, which parallel the recruitment of frontal cortex during learning object locations previously identified using fMRI with the same paradigm. Notably, ERPs during recall for items studied with a specific viewing strategy localized to the same supplementary motor cortex region previously identified with fMRI when this strategy was implemented during study, suggesting rapid reactivation of regions directly involved in strategic action planning. Collectively, these results implicate neural populations involved in learning in important retrieval functions, even for those populations involved in strategic control and action planning. Notably, these episodic features are not generally reported during recollective experiences, suggesting that reactivation is a more general property of memory retrieval that extends beyond those fragments of perceptual information that might be needed to re-live the past. Copyright © 2011 Elsevier Ltd. All rights reserved.

Behavioural phenotypes associated with specific genetic disorders: evidence from a population-based study of people with Prader-Willi syndrome.

PubMed

Holland, A J; Whittington, J E; Butler, J; Webb, T; Boer, H; Clarke, D

2003-01-01

Prader-Willi syndrome (PWS) is a genetic disorder resulting in obesity, short stature, cryptorchidism, learning disabilities (mental retardation) and severe neonatal hypotonia. Associated with the syndrome are a number of behaviours that are sufficiently distinctive that the syndrome is considered to have a specific 'behavioural phenotype'. Through multiple sources we attempted to identify all people with PWS living in one region in the U K. This cohort was augmented by people with PWS from other regions, and a contrast group of people with learning disabilities of varied aetiologies. The main carers were interviewed, using structured and semi-structured interview schedules, to establish the presence and severity of specific behaviours, and PWS diagnostic criteria. The intellectual functioning and attainments of all were determined. Blood samples were obtained for genetic diagnosis from all consenting participants. Although excessive eating was recognized as a potentially severe problem in those with PWS, it was almost universally controlled by food restriction, and therefore not seen as a 'problem behaviour'. Those with PWS differed from a learning disabled group of other aetiologies in the prevalence rates of skin picking, temper tantrums, compulsive behaviours and mood fluctuations, and also in the profile of their adaptive behaviours. The study confirms the distinct behavioural phenotype of PWS. Specific behaviours occurred significantly more frequently in PWS, compared with an age and BMI matched learning disabled comparison group. A factor analysis of the behaviours involved resulted in three factors that we hypothesized to be independent, and to arise from different mechanisms.

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

PubMed Central

Gao, Yaozong; Zhan, Yiqiang

2015-01-01

Image-guided radiotherapy (IGRT) requires fast and accurate localization of the prostate in 3-D treatment-guided radiotherapy, which is challenging due to low tissue contrast and large anatomical variation across patients. On the other hand, the IGRT workflow involves collecting a series of computed tomography (CT) images from the same patient under treatment. These images contain valuable patient-specific information yet are often neglected by previous works. In this paper, we propose a novel learning framework, namely incremental learning with selective memory (ILSM), to effectively learn the patient-specific appearance characteristics from these patient-specific images. Specifically, starting with a population-based discriminative appearance model, ILSM aims to “personalize” the model to fit patient-specific appearance characteristics. The model is personalized with two steps: backward pruning that discards obsolete population-based knowledge and forward learning that incorporates patient-specific characteristics. By effectively combining the patient-specific characteristics with the general population statistics, the incrementally learned appearance model can localize the prostate of a specific patient much more accurately. This work has three contributions: 1) the proposed incremental learning framework can capture patient-specific characteristics more effectively, compared to traditional learning schemes, such as pure patient-specific learning, population-based learning, and mixture learning with patient-specific and population data; 2) this learning framework does not have any parametric model assumption, hence, allowing the adoption of any discriminative classifier; and 3) using ILSM, we can localize the prostate in treatment CTs accurately (DSC ∼0.89) and fast (∼4 s), which satisfies the real-world clinical requirements of IGRT. PMID:24495983

Assessment of Surgical Learning Curves in Transoral Robotic Surgery for Squamous Cell Carcinoma of the Oropharynx

PubMed Central

Albergotti, William G.; Gooding, William E.; Kubik, Mark W.; Geltzeiler, Mathew; Kim, Seungwon; Duvvuri, Umamaheswar; Ferris, Robert L.

2017-01-01

IMPORTANCE Transoral robotic surgery (TORS) is increasingly employed as a treatment option for squamous cell carcinoma of the oropharynx (OPSCC). Measures of surgical learning curves are needed particularly as clinical trials using this technology continue to evolve. OBJECTIVE To assess learning curves for the oncologic TORS surgeon and to identify the number of cases needed to identify the learning phase. DESIGN, SETTING, AND PARTICIPANTS A retrospective review of all patients who underwent TORS for OPSCC at the University of Pittsburgh Medical Center between March 2010 and March 2016. Cases were excluded for involvement of a subsite outside of the oropharynx, for nonmalignant abnormality or nonsquamous histology, unknown primary, no tumor in the main specimen, free flap reconstruction, and for an inability to define margin status. EXPOSURES Transoral robotic surgery for OPSCC. MAIN OUTCOMES AND MEASURES Primary learning measures defined by the authors include the initial and final margin status and time to resection of main surgical specimen. A cumulative sum learning curve was developed for each surgeon for each of the study variables. The inflection point of each surgeon’s curve was considered to be the point signaling the completion of the learning phase. RESULTS There were 382 transoral robotic procedures identified. Of 382 cases, 160 met our inclusion criteria: 68 for surgeon A, 37 for surgeon B, and 55 for surgeon C. Of the 160 included patients, 125 were men and 35 were women. The mean (SD) age of participants was 59.4 (9.5) years. Mean (SD) time to resection including robot set-up was 79 (36) minutes. The inflection points for the final margin status learning curves were 27 cases (surgeon A) and 25 cases (surgeon C). There was no inflection point for surgeon B for final margin status. Inflection points for mean time to resection were: 39 cases (surgeon A), 30 cases (surgeon B), and 27 cases (surgeon C). CONCLUSIONS AND RELEVANCE Using metrics of positive margin rate and time to resection of the main surgical specimen, the learning curve for TORS for OPSCC is surgeon-specific. Inflection points for most learning curves peak between 20 and 30 cases. PMID:28196200

How can students contribute? A qualitative study of active student involvement in development of technological learning material for clinical skills training.

PubMed

Haraldseid, Cecilie; Friberg, Febe; Aase, Karina

2016-01-01

Policy initiatives and an increasing amount of the literature within higher education both call for students to become more involved in creating their own learning. However, there is a lack of studies in undergraduate nursing education that actively involve students in developing such learning material with descriptions of the students' roles in these interactive processes. Explorative qualitative study, using data from focus group interviews, field notes and student notes. The data has been subjected to qualitative content analysis. Active student involvement through an iterative process identified five different learning needs that are especially important to the students: clarification of learning expectations, help to recognize the bigger picture, stimulation of interaction, creation of structure, and receiving context- specific content. The iterative process involvement of students during the development of new technological learning material will enhance the identification of important learning needs for students. The use of student and teacher knowledge through an adapted co-design process is the most optimal level of that involvement.

Healthcare students' experiences when integrating e-learning and flipped classroom instructional approaches.

PubMed

Telford, Mark; Senior, Emma

2017-06-08

This article describes the experiences of undergraduate healthcare students taking a module adopting a 'flipped classroom' approach. Evidence suggests that flipped classroom as a pedagogical tool has the potential to enhance student learning and to improve healthcare practice. This innovative approach was implemented within a healthcare curriculum and in a module looking at public health delivered at the beginning of year two of a 3-year programme. The focus of the evaluation study was on the e-learning resources used in the module and the student experiences of these; with a specific aim to evaluate this element of the flipped classroom approach. A mixed-methods approach was adopted and data collected using questionnaires, which were distributed across a whole cohort, and a focus group involving ten participants. Statistical analysis of the data showed the positive student experience of engaging with e-learning. The thematic analysis identified two key themes; factors influencing a positive learning experience and the challenges when developing e-learning within a flipped classroom approach. The study provides guidance for further developments and improvements when developing e-learning as part of the flipped classroom approach.

Association of Amine-Receptor DNA Sequence Variants with Associative Learning in the Honeybee.

PubMed

Lagisz, Malgorzata; Mercer, Alison R; de Mouzon, Charlotte; Santos, Luana L S; Nakagawa, Shinichi

2016-03-01

Octopamine- and dopamine-based neuromodulatory systems play a critical role in learning and learning-related behaviour in insects. To further our understanding of these systems and resulting phenotypes, we quantified DNA sequence variations at six loci coding octopamine-and dopamine-receptors and their association with aversive and appetitive learning traits in a population of honeybees. We identified 79 polymorphic sequence markers (mostly SNPs and a few insertions/deletions) located within or close to six candidate genes. Intriguingly, we found that levels of sequence variation in the protein-coding regions studied were low, indicating that sequence variation in the coding regions of receptor genes critical to learning and memory is strongly selected against. Non-coding and upstream regions of the same genes, however, were less conserved and sequence variations in these regions were weakly associated with between-individual differences in learning-related traits. While these associations do not directly imply a specific molecular mechanism, they suggest that the cross-talk between dopamine and octopamine signalling pathways may influence olfactory learning and memory in the honeybee.

Augmented reality in medical education?

PubMed

Kamphuis, Carolien; Barsom, Esther; Schijven, Marlies; Christoph, Noor

2014-09-01

Learning in the medical domain is to a large extent workplace learning and involves mastery of complex skills that require performance up to professional standards in the work environment. Since training in this real-life context is not always possible for reasons of safety, costs, or didactics, alternative ways are needed to achieve clinical excellence. Educational technology and more specifically augmented reality (AR) has the potential to offer a highly realistic situated learning experience supportive of complex medical learning and transfer. AR is a technology that adds virtual content to the physical real world, thereby augmenting the perception of reality. Three examples of dedicated AR learning environments for the medical domain are described. Five types of research questions are identified that may guide empirical research into the effects of these learning environments. Up to now, empirical research mainly appears to focus on the development, usability and initial implementation of AR for learning. Limited review results reflect the motivational value of AR, its potential for training psychomotor skills and the capacity to visualize the invisible, possibly leading to enhanced conceptual understanding of complex causality.

Generalized query-based active learning to identify differentially methylated regions in DNA.

PubMed

Haque, Md Muksitul; Holder, Lawrence B; Skinner, Michael K; Cook, Diane J

2013-01-01

Active learning is a supervised learning technique that reduces the number of examples required for building a successful classifier, because it can choose the data it learns from. This technique holds promise for many biological domains in which classified examples are expensive and time-consuming to obtain. Most traditional active learning methods ask very specific queries to the Oracle (e.g., a human expert) to label an unlabeled example. The example may consist of numerous features, many of which are irrelevant. Removing such features will create a shorter query with only relevant features, and it will be easier for the Oracle to answer. We propose a generalized query-based active learning (GQAL) approach that constructs generalized queries based on multiple instances. By constructing appropriately generalized queries, we can achieve higher accuracy compared to traditional active learning methods. We apply our active learning method to find differentially DNA methylated regions (DMRs). DMRs are DNA locations in the genome that are known to be involved in tissue differentiation, epigenetic regulation, and disease. We also apply our method on 13 other data sets and show that our method is better than another popular active learning technique.

Reinforcement Learning and Dopamine in Schizophrenia: Dimensions of Symptoms or Specific Features of a Disease Group?

PubMed Central

Deserno, Lorenz; Boehme, Rebecca; Heinz, Andreas; Schlagenhauf, Florian

2013-01-01

Abnormalities in reinforcement learning are a key finding in schizophrenia and have been proposed to be linked to elevated levels of dopamine neurotransmission. Behavioral deficits in reinforcement learning and their neural correlates may contribute to the formation of clinical characteristics of schizophrenia. The ability to form predictions about future outcomes is fundamental for environmental interactions and depends on neuronal teaching signals, like reward prediction errors. While aberrant prediction errors, that encode non-salient events as surprising, have been proposed to contribute to the formation of positive symptoms, a failure to build neural representations of decision values may result in negative symptoms. Here, we review behavioral and neuroimaging research in schizophrenia and focus on studies that implemented reinforcement learning models. In addition, we discuss studies that combined reinforcement learning with measures of dopamine. Thereby, we suggest how reinforcement learning abnormalities in schizophrenia may contribute to the formation of psychotic symptoms and may interact with cognitive deficits. These ideas point toward an interplay of more rigid versus flexible control over reinforcement learning. Pronounced deficits in the flexible or model-based domain may allow for a detailed characterization of well-established cognitive deficits in schizophrenia patients based on computational models of learning. Finally, we propose a framework based on the potentially crucial contribution of dopamine to dysfunctional reinforcement learning on the level of neural networks. Future research may strongly benefit from computational modeling but also requires further methodological improvement for clinical group studies. These research tools may help to improve our understanding of disease-specific mechanisms and may help to identify clinically relevant subgroups of the heterogeneous entity schizophrenia. PMID:24391603

Nursing and midwifery students' perception of learning enablers and gains in the first semester of their BSc programmes: A cross sectional study.

PubMed

Redmond, Catherine; Davies, Carmel; Halligan, Phil; Joye, Regina; Carroll, Lorraine; Frawley, Timothy

2018-06-01

The student experience in the first year of university is fundamental to successful adaption to the higher education environment and shapes student engagement with their chosen degree. Students' feedback on this experience is essential when designing or reviewing curricula. The aim of this study was to explore students' perceptions of their learning gains to identify factors that support student learning and identify elements that need improvement if specific learning needs are to be met. A cross sectional descriptive study. A large urban university in Ireland that provides undergraduate nursing and midwifery degree programmes. The study was conducted using the Student Assessment of Learning Gains (SALG) questionnaire. This instrument consists of a series of closed questions which explore perceived student gains in skills, cognitions and attitudes. The questionnaire was adapted for a semester rather than a module evaluation. The tool also includes a series of open questions inviting students to comment in each section. Students (n = 206) positively evaluated teaching and learning approaches used. The greatest enablers of learning were clinical skills laboratory small group teaching and support followed by online learning materials and multiple choice formative assessment questions. They reported gains in knowledge, generic skills development and an increase in confidence and enthusiasm for their chosen career. The feedback gained in this study provides valuable knowledge about the elements that support nursing and midwifery students learning and highlights areas that require attention. This is particularly useful for faculty who are involved in curriculum review and enhancement and in student engagement and retention. Copyright © 2018 Elsevier Ltd. All rights reserved.

Basic practical skills teaching and learning in undergraduate medical education - a review on methodological evidence.

PubMed

Vogel, Daniela; Harendza, Sigrid

2016-01-01

Practical skills are an essential part of physicians' daily routine. Nevertheless, medical graduates' performance of basic skills is often below the expected level. This review aims to identify and summarize teaching approaches of basic practical skills in undergraduate medical education which provide evidence with respect to effective students' learning of these skills. Basic practical skills were defined as basic physical examination skills, routine skills which get better with practice, and skills which are also performed by nurses. We searched PubMed with different terms describing these basic practical skills. In total, 3467 identified publications were screened and 205 articles were eventually reviewed for eligibility. 43 studies that included at least one basic practical skill, a comparison of two groups of undergraduate medical students and effects on students' performance were analyzed. Seven basic practical skills and 15 different teaching methods could be identified. The most consistent results with respect to effective teaching and acquisition of basic practical skills were found for structured skills training, feedback, and self-directed learning. Simulation was effective with specific teaching methods and in several studies no differences in teaching effects were detected between expert or peer instructors. Multimedia instruction, when used in the right setting, also showed beneficial effects for basic practical skills learning. A combination of voluntary or obligatory self-study with multimedia applications like video clips in combination with a structured program including the possibility for individual exercise with personal feedback by peers or teachers might provide a good learning opportunity for basic practical skills.

Basic practical skills teaching and learning in undergraduate medical education – a review on methodological evidence

PubMed Central

Vogel, Daniela; Harendza, Sigrid

2016-01-01

Objective: Practical skills are an essential part of physicians’ daily routine. Nevertheless, medical graduates’ performance of basic skills is often below the expected level. This review aims to identify and summarize teaching approaches of basic practical skills in undergraduate medical education which provide evidence with respect to effective students’ learning of these skills. Methods: Basic practical skills were defined as basic physical examination skills, routine skills which get better with practice, and skills which are also performed by nurses. We searched PubMed with different terms describing these basic practical skills. In total, 3467 identified publications were screened and 205 articles were eventually reviewed for eligibility. Results: 43 studies that included at least one basic practical skill, a comparison of two groups of undergraduate medical students and effects on students’ performance were analyzed. Seven basic practical skills and 15 different teaching methods could be identified. The most consistent results with respect to effective teaching and acquisition of basic practical skills were found for structured skills training, feedback, and self-directed learning. Simulation was effective with specific teaching methods and in several studies no differences in teaching effects were detected between expert or peer instructors. Multimedia instruction, when used in the right setting, also showed beneficial effects for basic practical skills learning. Conclusion: A combination of voluntary or obligatory self-study with multimedia applications like video clips in combination with a structured program including the possibility for individual exercise with personal feedback by peers or teachers might provide a good learning opportunity for basic practical skills. PMID:27579364

Neurobiology of Dyslexia

PubMed Central

Norton, Elizabeth S.; Beach, Sara D.; Gabrieli, John D. E.

2014-01-01

Dyslexia is one of the most common learning disabilities, yet its brain basis and core causes are not yet fully understood. Neuroimaging methods, including structural and functional magnetic resonance imaging, diffusion tensor imaging, and electrophysiology, have significantly contributed to knowledge about the neurobiology of dyslexia. Recent studies have discovered brain differences prior to formal instruction that likely encourage or discourage learning to read effectively, distinguished between brain differences that likely reflect the etiology of dyslexia versus brain differences that are the consequences of variation in reading experience, and identified distinct neural networks associated with specific psychological factors that are associated with dyslexia. PMID:25290881

Entering Freshmen Hindered by Functional Illiteracy.

ERIC Educational Resources Information Center

Sainz, JoAnn; Biggins, Catherine M.

Research has specifically linked dropping out of school to reading disabilities and related problems. Research on reading as a cognitive task has focused on reading as an active process with three questions of concern: (1) How does the learner learn to identify the printed word?; (2) How does he or she discriminate one word from another word?; and…

SLD Identification: A Survey of Methods Used by School Psychologists

ERIC Educational Resources Information Center

Watson, Michael D., Jr.; Simon, Joan B.; Nunnley, Lenora

2016-01-01

IDEA 2004 opened the door for states, and in some cases districts, to choose among three different methods for identifying children with Specific Learning Disabilities (SLDs). This study provides an in-depth look at SLD identification practices in a state that allows school psychologists to use any of the three methods. Eighty-four school…

Urban Forest Health Needs Assessment Survey: Results and Recommendations

Treesearch

Jill D. Pokorny

1998-01-01

The survey was designed to query urban forestry professionals in the 20 northeastern and Midwest States and the District of Columbia, which are served by the Northeastern Area, to learn about their attitudes toward the general issue of urban forest health, identify specific training and information needs in the area of urban tree health management, and discover...

Education Business Plan 2010-13. Budget 2010: Striking the Right Balance

ERIC Educational Resources Information Center

Alberta Education, 2010

2010-01-01

The ministry has identified one core business that is an ongoing key responsibility. It is called "Core Business One: Lead and Support the Education System So That All Students Are Successful at Learning." The core business includes four goals with specific outcomes that describe the end results the ministry wants to achieve in…

Consumer Education Resources Catalog. 16mm Films, Multi Media Kits, Video Cassettes, Simulations & Games, Printed Material.

ERIC Educational Resources Information Center

Jones, Sandra; Bannister, Rosella

This catalog lists teaching-learning resources available for preview at the Michigan Consumer Education Center. A subject index to multi-media identifies titles of films, video casettes, multi-media kits, and games under seven specific subjects. These are (1) Factors Affecting Consumer Behavior, (2) Money Management and Credit, (3) Buying and…

Development of a Laboratory Project to Determine Human ABO Genotypes--Limitations Lead to Further Student Explorations

ERIC Educational Resources Information Center

Salerno, Theresa A.

2009-01-01

A multiplex allele-specific PCR analysis was developed to identify six "common" genotypes: AA, AO, BB, BO, OO, and AB. This project included a pre-laboratory exercise that provided active learning experiences and developed critical thinking skills. This laboratory resulted in many successful analyses, which were verified by student knowledge of…

What Makes Great Teaching? Review of the Underpinning Research

ERIC Educational Resources Information Center

Coe, Robert; Aloisi, Cesare; Higgins, Steve; Major, Lee Elliot

2014-01-01

This report reviews over 200 pieces of research to identify the elements of teaching with the strongest evidence of improving attainment. It finds some common practices can be harmful to learning and have no grounding in research. Specific practices which are supported by good evidence of their effectiveness are also examined and six key factors…

Teaching about the Epistemology of Science in Upper Secondary Schools: An Analysis of Teachers' Classroom Talk

ERIC Educational Resources Information Center

Ryder, Jim; Leach, John

2008-01-01

We begin by drawing upon the available literature to identify four characteristics of teacher talk likely to support student learning about the epistemology of science: making appropriate statements about the epistemology of science in the classroom, linking the epistemology of science with specific science concepts, stating and justifying…

Student Stalking of Faculty: Potential Gaps in Campus Faculty Development Efforts

ERIC Educational Resources Information Center

Morgan, Robin K.; Hunter, Sarah; Bertrand, Abigail

2013-01-01

Centers for teaching and learning (CTLs) provide much of the faculty development in universities across the nation. Many of these centers developed out of a need for enhanced faculty development in technology areas. Fifty CTLs provided data in the current study. Types of programs offered by each center were identified, with specific attention…

Response to Intervention: A Study of Practices, Beliefs, and Procedural Changes in One School District

ERIC Educational Resources Information Center

Cutler, Miriam

2009-01-01

The rising numbers of special education referrals have resulted in national debate and subsequent new legislation regarding the methods school districts have traditionally used to identify specific learning disabilities. The 2004 reauthorization of the Individuals with Disabilities in Education Act (IDEA) now allows the use of a student's response…

Student Information-Age Mindset: A Key to Success in Distance Learning Courses

ERIC Educational Resources Information Center

Madrigal, Osiel; Schreiber, Deborah

2011-01-01

This study provides empirical evidence that an information-age mindset exists; it is not necessarily age-specific; and it appears to be related to both the student's interaction with a digital environment over time, and the success or failure while online. Eight of ten identified information-age mindset attributes are significant, and represent…

Student Experiences of Neurodiversity in Higher Education: Insights from the BRAINHE Project

ERIC Educational Resources Information Center

Griffin, Edward; Pollak, David

2009-01-01

The number of students with identified learning differences (LDs) of all kinds is increasing in higher education. This qualitative study explored the experiences of 27 current and previous students with a range of specific LDs by means of semi-structured interviews, using a thematic approach. The findings revealed that participants shared many…

How to Identify a Domain-General Learning Mechanism when You See One

ERIC Educational Resources Information Center

Rakison, David H.; Yermolayeva, Yevdokiya

2011-01-01

A longstanding and fundamental debate in developmental science is whether knowledge is acquired through domain-specific or domain-general mechanisms. To date, there exists no tool to determine whether experimental data support one theoretical approach or the other. In this article, we argue that the U- and N-shaped curves found in a number of…

Academic Interventions and Academic Achievement in the Middle School Grades

ERIC Educational Resources Information Center

Kite, Toby G.

2015-01-01

After the passing of the Individuals with Disabilities Act of 2004, many schools began to use a Response to Intervention (RtI) model instead of the discrepancy model when identifying students with specific learning disabilities (National Center on Response to Intervention, 2011). When elementary schools adopted the RtI model, it was shown to be…