Systems-Oriented Workplace Learning Experiences for Early Learners: Three Models.

PubMed

O'Brien, Bridget C; Bachhuber, Melissa R; Teherani, Arianne; Iker, Theresa M; Batt, Joanne; O'Sullivan, Patricia S

2017-05-01

Early workplace learning experiences may be effective for learning systems-based practice. This study explores systems-oriented workplace learning experiences (SOWLEs) for early learners to suggest a framework for their development. The authors used a two-phase qualitative case study design. In Phase 1 (spring 2014), they prepared case write-ups based on transcribed interviews from 10 SOWLE leaders at the authors' institution and, through comparative analysis of cases, identified three SOWLE models. In Phase 2 (summer 2014), studying seven 8-week SOWLE pilots, the authors used interview and observational data collected from the seven participating medical students, two pharmacy students, and site leaders to construct case write-ups of each pilot and to verify and elaborate the models. In Model 1, students performed specific patient care activities that addressed a system gap. Some site leaders helped students connect the activities to larger systems problems and potential improvements. In Model 2, students participated in predetermined systems improvement (SI) projects, gaining experience in the improvement process. Site leaders had experience in SI and often had significant roles in the projects. In Model 3, students worked with key stakeholders to develop a project and conduct a small test of change. They experienced most elements of an improvement cycle. Site leaders often had experience with SI and knew how to guide and support students' learning. Each model could offer systems-oriented learning opportunities provided that key elements are in place including site leaders facile in SI concepts and able to guide students in SOWLE activities.

Scientific thinking in young children: theoretical advances, empirical research, and policy implications.

PubMed

Gopnik, Alison

2012-09-28

New theoretical ideas and empirical research show that very young children's learning and thinking are strikingly similar to much learning and thinking in science. Preschoolers test hypotheses against data and make causal inferences; they learn from statistics and informal experimentation, and from watching and listening to others. The mathematical framework of probabilistic models and Bayesian inference can describe this learning in precise ways. These discoveries have implications for early childhood education and policy. In particular, they suggest both that early childhood experience is extremely important and that the trend toward more structured and academic early childhood programs is misguided.

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.

PubMed

Cheng, Bo; Liu, Mingxia; Shen, Dinggang; Li, Zuoyong; Zhang, Daoqiang

2017-04-01

Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer's Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD. Specifically, the proposed MDTL framework consists of two key components: 1) a multi-domain transfer feature selection (MDTFS) model that selects the most informative feature subset from multi-domain data, and 2) a multi-domain transfer classification (MDTC) model that can identify disease status for early AD detection. We evaluate our method on 807 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data. The experimental results show that the proposed MDTL method can effectively utilize multi-auxiliary domain data for improving the learning performance in the target domain, compared with several state-of-the-art methods.

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

PubMed Central

Cheng, Bo; Liu, Mingxia; Li, Zuoyong

2017-01-01

Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer’s Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD. Specifically, the proposed MDTL framework consists of two key components: 1) a multi-domain transfer feature selection (MDTFS) model that selects the most informative feature subset from multi-domain data, and 2) a multidomain transfer classification (MDTC) model that can identify disease status for early AD detection. We evaluate our method on 807 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data. The experimental results show that the proposed MDTL method can effectively utilize multi-auxiliary domain data for improving the learning performance in the target domain, compared with several state-of-the-art methods. PMID:27928657

A Comparison of Student Knowledge between Traditional and Blended Instruction in a Physical Education in Early Childhood Course

ERIC Educational Resources Information Center

Giannousi, Maria; Vernadakis, Nikolaos; Derri, Vassiliki; Antoniou, Panagiotis; Kioumourtzoglou, Efthimis

2014-01-01

Blended learning model combines different advantages of face to face education and e-learning to ensure an effective learning environment for students. The purpose of this study was to investigate the impact of traditional and blended instruction, in students' knowledge in a Physical Education in Early Childhood course. For the purpose of this…

Increasing Accountability Measures for Early Childhood Teachers Using Evaluation Models: Observation, Feedback, and Self-Assessment

ERIC Educational Resources Information Center

Reinking, Anna Krummel

2015-01-01

President Barack Obama and U.S. Secretary of Education Arne Duncan are promoting an early learning initiative focusing on the agenda of every four year old having equal access to high-quality early learning environments (Administration for Children and Families, 2013). One way the Federal government is supporting this proposal is through a grant;…

A neurocomputational account of taxonomic responding and fast mapping in early word learning.

PubMed

Mayor, Julien; Plunkett, Kim

2010-01-01

We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to the quality of prelexical, categorical representations in the model. We show how synaptogenesis supports coherent generalization of word-object associations and show that later synaptic pruning minimizes metabolic costs without being detrimental to word learning. The role played by joint-attentional activities is identified in the model, both at the level of selecting efficient cross-modal synapses and at the behavioral level, by accelerating and refining overall vocabulary acquisition. The model can account for the qualitative shift in the way infants use words, from an associative to a referential-like use, for the pattern of overextension errors in production and comprehension observed during early childhood and typicality effects observed in lexical development. Interesting by-products of the model include a potential explanation of the shift from prototype to exemplar-based effects reported for adult category formation, an account of mispronunciation effects in early lexical development, and extendability to include accounts of individual differences in lexical development and specific disorders such as Williams syndrome. The model demonstrates how an established constraint on lexical learning, which has often been regarded as domain-specific, can emerge from domain-general learning principles that are simultaneously biologically, psychologically, and socially plausible.

Cohorts, Communities of Inquiry, and Course Delivery Methods: UTC Best Practices in Learning--The Hybrid Learning Community Model

ERIC Educational Resources Information Center

Rausch, David W.; Crawford, Elizabeth K.

2012-01-01

From the early 1990s to present, the practice of cohort-based learning has been on the rise in colleges, universities, organizations, and even some K-12 programs across the nation. This type of learning model uses the power of the interpersonal relationships to enhance the learning process and provide additional support to the cohort members as…

Family Support or School Readiness? Contrasting Models of Public Spending on Children's Early Care and Learning. Evidence Speaks Reports, Vol 1, #16

ERIC Educational Resources Information Center

Whitehurst, Grover J.

2016-01-01

In the United States, public policy and expenditure intended to improve the prospects of children from low-income families have focused on better preparing children for school through Head Start and universal pre-K. This school readiness approach differs from the dominant model of public support for early care and learning in Northern Europe,…

Can Service Learning Reinforce Social and Cultural Bias? Exploring a Popular Model of Family Involvement for Early Childhood Teacher Candidates

ERIC Educational Resources Information Center

Dunn-Kenney, Maylan

2010-01-01

Service learning is often used in teacher education as a way to challenge social bias and provide teacher candidates with skills needed to work in partnership with diverse families. Although some literature suggests that service learning could reinforce cultural bias, there is little documentation. In a study of 21 early childhood teacher…

Educating Young Children: Active Learning Practices for Preschool and Child Care Programs [and] A Study Guide to Educating Young Children: Exercises for Adult Learners. Second Edition.

ERIC Educational Resources Information Center

Hohmann, Mary; Weikart, David P.

High/Scope preschool curriculum is a model for developing high-quality early childhood programs that encourage and support children's initiatives and active learning experiences. This revised manual for early childhood practitioners and students presents essential strategies adults can use to make active learning a reality in their programs. The…

Home and Preschool Learning Environments and Their Relations to the Development of Early Numeracy Skills

ERIC Educational Resources Information Center

Anders, Yvonne; Rossbach, Hans-Gunther; Weinert, Sabine; Ebert, Susanne; Kuger, Susanne; Lehrl, Simone; von Maurice, Jutta

2012-01-01

This study examined the influence of the quality of home and preschool learning environments on the development of early numeracy skills in Germany, drawing on a sample of 532 children in 97 preschools. Latent growth curve models were used to investigate early numeracy skills and their development from the first (average age: 3 years) to the third…

Learning representations for the early detection of sepsis with deep neural networks.

PubMed

Kam, Hye Jin; Kim, Ha Young

2017-10-01

Sepsis is one of the leading causes of death in intensive care unit patients. Early detection of sepsis is vital because mortality increases as the sepsis stage worsens. This study aimed to develop detection models for the early stage of sepsis using deep learning methodologies, and to compare the feasibility and performance of the new deep learning methodology with those of the regression method with conventional temporal feature extraction. Study group selection adhered to the InSight model. The results of the deep learning-based models and the InSight model were compared. With deep feedforward networks, the area under the ROC curve (AUC) of the models were 0.887 and 0.915 for the InSight and the new feature sets, respectively. For the model with the combined feature set, the AUC was the same as that of the basic feature set (0.915). For the long short-term memory model, only the basic feature set was applied and the AUC improved to 0.929 compared with the existing 0.887 of the InSight model. The contributions of this paper can be summarized in three ways: (i) improved performance without feature extraction using domain knowledge, (ii) verification of feature extraction capability of deep neural networks through comparison with reference features, and (iii) improved performance with feedforward neural networks using long short-term memory, a neural network architecture that can learn sequential patterns. Copyright © 2017 Elsevier Ltd. All rights reserved.

Early Childhood Teachers' Professional Learning in Early Algebraic Thinking: A Model that Supports New Knowledge and Pedagogy

ERIC Educational Resources Information Center

Warren, Elizabeth

2009-01-01

The implementation of a new mathematics syllabus in the elementary context is problematic, especially if it contains a new content area. A professional development model, Transformative Teaching in the Early Years Mathematics (TTEYM) was specifically developed to support the implementation of the new Patterns and Algebra strand. The model was…

Dorsolateral Striatum Engagement Interferes with Early Discrimination Learning.

PubMed

Bergstrom, Hadley C; Lipkin, Anna M; Lieberman, Abby G; Pinard, Courtney R; Gunduz-Cinar, Ozge; Brockway, Emma T; Taylor, William W; Nonaka, Mio; Bukalo, Olena; Wills, Tiffany A; Rubio, F Javier; Li, Xuan; Pickens, Charles L; Winder, Danny G; Holmes, Andrew

2018-05-22

In current models, learning the relationship between environmental stimuli and the outcomes of actions involves both stimulus-driven and goal-directed systems, mediated in part by the DLS and DMS, respectively. However, though these models emphasize the importance of the DLS in governing actions after extensive experience has accumulated, there is growing evidence of DLS engagement from the onset of training. Here, we used in vivo photosilencing to reveal that DLS recruitment interferes with early touchscreen discrimination learning. We also show that the direct output pathway of the DLS is preferentially recruited and causally involved in early learning and find that silencing the normal contribution of the DLS produces plasticity-related alterations in a PL-DMS circuit. These data provide further evidence suggesting that the DLS is recruited in the construction of stimulus-elicited actions that ultimately automate behavior and liberate cognitive resources for other demands, but with a cost to performance at the outset of learning. Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Expeditionary Learning Approach in Integrated Teacher Education: Model Effectiveness and Dilemma.

ERIC Educational Resources Information Center

Hyun, Eunsook

This paper introduces an integrated teacher education model based on the Expeditionary Learning Outward Bound Project model. It integrates early childhood, elementary, and special education and uses inquiry-oriented and social constructive approaches. It models a team approach, with all teachers unified in their mutually shared philosophy of…

Selective Cooperation in Early Childhood – How to Choose Models and Partners

PubMed Central

Hermes, Jonas; Behne, Tanya; Studte, Kristin; Zeyen, Anna-Maria; Gräfenhain, Maria; Rakoczy, Hannes

2016-01-01

Cooperation is essential for human society, and children engage in cooperation from early on. It is unclear, however, how children select their partners for cooperation. We know that children choose selectively whom to learn from (e.g. preferring reliable over unreliable models) on a rational basis. The present study investigated whether children (and adults) also choose their cooperative partners selectively and what model characteristics they regard as important for cooperative partners and for informants about novel words. Three- and four-year-old children (N = 64) and adults (N = 14) saw contrasting pairs of models differing either in physical strength or in accuracy (in labeling known objects). Participants then performed different tasks (cooperative problem solving and word learning) requiring the choice of a partner or informant. Both children and adults chose their cooperative partners selectively. Moreover they showed the same pattern of selective model choice, regarding a wide range of model characteristics as important for cooperation (preferring both the strong and the accurate model for a strength-requiring cooperation tasks), but only prior knowledge as important for word learning (preferring the knowledgeable but not the strong model for word learning tasks). Young children’s selective model choice thus reveals an early rational competence: They infer characteristics from past behavior and flexibly consider what characteristics are relevant for certain tasks. PMID:27505043

Community-Based Learning to Support South African Early Group Care

ERIC Educational Resources Information Center

Casper, Virginia; Lamb-Parker, Faith

2012-01-01

The Developing Families Project-South Africa (DFP-SA) is a community-based model of education and training for the care, support and education of vulnerable children birth-to-three and their caregivers, guardians and families in rural and peri-urban townships. The approach fosters interactive learning among community members about early care and…

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning.

PubMed

Wang, Jinhua; Yang, Xi; Cai, Hongmin; Tan, Wanchang; Jin, Cangzheng; Li, Li

2016-06-07

Microcalcification is an effective indicator of early breast cancer. To improve the diagnostic accuracy of microcalcifications, this study evaluates the performance of deep learning-based models on large datasets for its discrimination. A semi-automated segmentation method was used to characterize all microcalcifications. A discrimination classifier model was constructed to assess the accuracies of microcalcifications and breast masses, either in isolation or combination, for classifying breast lesions. Performances were compared to benchmark models. Our deep learning model achieved a discriminative accuracy of 87.3% if microcalcifications were characterized alone, compared to 85.8% with a support vector machine. The accuracies were 61.3% for both methods with masses alone and improved to 89.7% and 85.8% after the combined analysis with microcalcifications. Image segmentation with our deep learning model yielded 15, 26 and 41 features for the three scenarios, respectively. Overall, deep learning based on large datasets was superior to standard methods for the discrimination of microcalcifications. Accuracy was increased by adopting a combinatorial approach to detect microcalcifications and masses simultaneously. This may have clinical value for early detection and treatment of breast cancer.

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

PubMed Central

Wang, Jinhua; Yang, Xi; Cai, Hongmin; Tan, Wanchang; Jin, Cangzheng; Li, Li

2016-01-01

Microcalcification is an effective indicator of early breast cancer. To improve the diagnostic accuracy of microcalcifications, this study evaluates the performance of deep learning-based models on large datasets for its discrimination. A semi-automated segmentation method was used to characterize all microcalcifications. A discrimination classifier model was constructed to assess the accuracies of microcalcifications and breast masses, either in isolation or combination, for classifying breast lesions. Performances were compared to benchmark models. Our deep learning model achieved a discriminative accuracy of 87.3% if microcalcifications were characterized alone, compared to 85.8% with a support vector machine. The accuracies were 61.3% for both methods with masses alone and improved to 89.7% and 85.8% after the combined analysis with microcalcifications. Image segmentation with our deep learning model yielded 15, 26 and 41 features for the three scenarios, respectively. Overall, deep learning based on large datasets was superior to standard methods for the discrimination of microcalcifications. Accuracy was increased by adopting a combinatorial approach to detect microcalcifications and masses simultaneously. This may have clinical value for early detection and treatment of breast cancer. PMID:27273294

Determinants of political trust: a lifetime learning model.

PubMed

Schoon, Ingrid; Cheng, Helen

2011-05-01

This article addresses questions regarding the origins of individual variations in political trust. Using 2 prospective longitudinal studies, we examine the associations between family background, general cognitive ability (g) and school motivation at early age, educational and occupational attainment in adulthood, and political trust measured in early and mid-adulthood in 2 large representative samples of the British population born in 1958 (N = 8,804) and in 1970 (N = 7,194). A lifetime learning model of political trust is tested using structural equation modeling to map the pathways linking early experiences to adult outcomes. Results show that political trust is shaped by both early and later experiences with institutions in society. Individuals who have accumulated more socioeconomic, educational, and motivational resources throughout their life course express higher levels of political trust than do those with fewer resources. (c) 2011 APA, all rights reserved.

Integrated Case Learning: Teaching Clinical Reasoning

ERIC Educational Resources Information Center

Radomski, Natalie; Russell, John

2010-01-01

Learning how to "think like doctors" can be difficult for undergraduate medical students in their early clinical years. Our model of collaborative Integrated Case Learning (ICL) and simulated clinical reasoning aims to address these issues. Taking a socio-cultural perspective, this study investigates the reflective learning interactions…

Unpacking socio-economic risks for reading and academic self-concept in primary school: Differential effects and the role of the preschool home learning environment.

PubMed

Crampton, Alexandria; Hall, James

2017-09-01

Uncertainty remains concerning how children's reading and academic self-concept are related and how these are differentially affected by social disadvantage and home learning environments. To contrast the impacts of early socio-economic risks and preschool home learning environments upon British children's reading abilities and academic self-concept between 7 and 10 years. n = 3,172 British children aged 3-10 years and their families. A secondary analysis of the nationally representative UK EPPE database. Multilevel structural equation modelling calculated the direct, indirect, and total impacts of early socio-economic risks (0-3 years) and preschool home learning environments (3-5 years) upon children's reading ability and academic self-concept between 7 and 10 years. Early socio-economic risk had different effects upon children's reading ability and academic self-concept. Early socio-economic risks affected children's reading at ages 7 and 10 both directly and indirectly via effects upon preschool home learning environments. By contrast, early socio-economic risks had only indirect effects upon children's academic self-concept via less stimulating home learning environments in the preschool period and by limiting reading abilities early on in primary school. Although the impacts of early socio-economic risks are larger and more easily observed upon reading than upon academic self-concept, they can impact both by making it less likely that children will experience enriching home learning environments during the preschool period. This has implications for social policymakers, early educators, and interventionists. Intervening early and improving preschool home learning environments can do more than raise children's reading abilities; secondary benefits may also be achievable upon children's self-concept. © 2017 The British Psychological Society.

An Early Childhood Movement Laboratory Model: Kindergym

ERIC Educational Resources Information Center

Marston, Rip

2004-01-01

Early childhood motor activity programs at institutions of higher learning can operate within the tripartite mission of the university while serving a vital function in providing leadership and guidance to educators. This article describes the University of Northern Iowa's Kindergym model. Within this model, curricular areas of games/sports,…

Using a Wiki in a Scientist-Teacher Professional Learning Community: Impact on Teacher Perception Changes

ERIC Educational Resources Information Center

Kim, Hye Jeong; Miller, Heather R.; Herbert, Bruce; Pedersen, Susan; Loving, Cathy

2012-01-01

In this study, a wiki was integrated into a professional development model that systemically addresses early-career teachers' needs. This study was conducted to examine the impact of wiki-based professional development activities in a scientist-teacher professional learning community and focused on early-career teachers' perceptions of the role of…

Early Disparities in Mathematics Gains among Poor and Non-Poor Children: Examining the Role of Behavioral Engagement in Learning

ERIC Educational Resources Information Center

Robinson, Keith

2013-01-01

Multilevel modeling was used to investigate the relationship between poverty status, mathematics achievement gains, and behavioral engagement in learning over kindergarten. Data included information on 11,680 poor, low-income, and non-poor kindergartners from the Early Childhood Longitudinal Study-Kindergarten Cohort of 1998-1999 (ECLS-K). Results…

The Dynamics of Perceptual Learning: An Incremental Reweighting Model

ERIC Educational Resources Information Center

Petrov, Alexander A.; Dosher, Barbara Anne; Lu, Zhong-Lin

2005-01-01

The mechanisms of perceptual learning are analyzed theoretically, probed in an orientation-discrimination experiment involving a novel nonstationary context manipulation, and instantiated in a detailed computational model. Two hypotheses are examined: modification of early cortical representations versus task-specific selective reweighting.…

Paradoxical Neurobehavioral Rescue by Memories of Early-Life Abuse: The Safety Signal Value of Odors Learned during Abusive Attachment

PubMed Central

Raineki, Charlis; Sarro, Emma; Rincón-Cortés, Millie; Perry, Rosemarie; Boggs, Joy; Holman, Colin J; Wilson, Donald A; Sullivan, Regina M

2015-01-01

Caregiver-associated cues, including those learned in abusive attachment, provide a sense of safety and security to the child. Here, we explore how cues associated with abusive attachment, such as maternal odor, can modify the enduring neurobehavioral effects of early-life abuse. Two early-life abuse models were used: a naturalistic paradigm, where rat pups were reared by an abusive mother; and a more controlled paradigm, where pups underwent peppermint odor-shock conditioning that produces an artificial maternal odor through engagement of the attachment circuit. Animals were tested for maternal odor preference in infancy, forced swim test (FST), social behavior, and sexual motivation in adulthood—in the presence or absence of maternal odors (natural or peppermint). Amygdala odor-evoked local field potentials (LFPs) via wireless electrodes were also examined in response to the maternal odors in adulthood. Both early-life abuse models induced preference for the maternal odors in infancy. In adulthood, these early-life abuse models produced FST deficits and decreased social behavior, but did not change sexual motivation. Presentation of the maternal odors rescued FST and social behavior deficits induced by early-life abuse and enhanced sexual motivation in all animals. In addition, amygdala LFPs from both abuse animal models showed unique activation within the gamma frequency (70–90 Hz) bands in response to the specific maternal odor present during early-life abuse. These results suggest that attachment-related cues learned during infancy have a profound ability to rescue neurobehavioral dysregulation caused by early-life abuse. Paradoxically, abuse-associated cues seem to acquire powerful and enduring antidepressive properties and alter amygdala modulation. PMID:25284320

Paradoxical neurobehavioral rescue by memories of early-life abuse: the safety signal value of odors learned during abusive attachment.

PubMed

Raineki, Charlis; Sarro, Emma; Rincón-Cortés, Millie; Perry, Rosemarie; Boggs, Joy; Holman, Colin J; Wilson, Donald A; Sullivan, Regina M

2015-03-01

Caregiver-associated cues, including those learned in abusive attachment, provide a sense of safety and security to the child. Here, we explore how cues associated with abusive attachment, such as maternal odor, can modify the enduring neurobehavioral effects of early-life abuse. Two early-life abuse models were used: a naturalistic paradigm, where rat pups were reared by an abusive mother; and a more controlled paradigm, where pups underwent peppermint odor-shock conditioning that produces an artificial maternal odor through engagement of the attachment circuit. Animals were tested for maternal odor preference in infancy, forced swim test (FST), social behavior, and sexual motivation in adulthood-in the presence or absence of maternal odors (natural or peppermint). Amygdala odor-evoked local field potentials (LFPs) via wireless electrodes were also examined in response to the maternal odors in adulthood. Both early-life abuse models induced preference for the maternal odors in infancy. In adulthood, these early-life abuse models produced FST deficits and decreased social behavior, but did not change sexual motivation. Presentation of the maternal odors rescued FST and social behavior deficits induced by early-life abuse and enhanced sexual motivation in all animals. In addition, amygdala LFPs from both abuse animal models showed unique activation within the gamma frequency (70-90 Hz) bands in response to the specific maternal odor present during early-life abuse. These results suggest that attachment-related cues learned during infancy have a profound ability to rescue neurobehavioral dysregulation caused by early-life abuse. Paradoxically, abuse-associated cues seem to acquire powerful and enduring antidepressive properties and alter amygdala modulation.

Perceptual learning as improved probabilistic inference in early sensory areas.

PubMed

Bejjanki, Vikranth R; Beck, Jeffrey M; Lu, Zhong-Lin; Pouget, Alexandre

2011-05-01

Extensive training on simple tasks such as fine orientation discrimination results in large improvements in performance, a form of learning known as perceptual learning. Previous models have argued that perceptual learning is due to either sharpening and amplification of tuning curves in early visual areas or to improved probabilistic inference in later visual areas (at the decision stage). However, early theories are inconsistent with the conclusions of psychophysical experiments manipulating external noise, whereas late theories cannot explain the changes in neural responses that have been reported in cortical areas V1 and V4. Here we show that we can capture both the neurophysiological and behavioral aspects of perceptual learning by altering only the feedforward connectivity in a recurrent network of spiking neurons so as to improve probabilistic inference in early visual areas. The resulting network shows modest changes in tuning curves, in line with neurophysiological reports, along with a marked reduction in the amplitude of pairwise noise correlations.

The Social Experience of Early Childhood for Children with Learning Disabilities: Inclusion, Competence and Agency

ERIC Educational Resources Information Center

Nind, Melanie; Flewitt, Rosie; Payler, Jane

2010-01-01

This paper tells of the social experiences of three four-year-old children with learning disabilities as they negotiate their daily lives in their homes and early education settings in England. We apply a social model of childhood disability to the relatively unexplored territory of young children and use vignettes drawn from video observation to…

Learning Together: A Study of Six B.A. Completion Cohort Programs in Early Care and Education--Year 4

ERIC Educational Resources Information Center

Kipnis, F.; Whitebook, M.; Almaraz, M.; Sakai, L.; Austin, L. J. E.

2012-01-01

The Learning Together longitudinal study focuses on four counties' efforts to expand bachelor's degree opportunities in early care and education (ECE) for adults currently working in the field. The "student cohort" model--in which small groups of ECE students with similar interests and characteristics pursue a bachelor's degree together,…

A Neurocomputational Account of Taxonomic Responding and Fast Mapping in Early Word Learning

ERIC Educational Resources Information Center

Mayor, Julien; Plunkett, Kim

2010-01-01

We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…

A Small Group Model for Early Intervention in Literacy: Group Size and Program Effects.

ERIC Educational Resources Information Center

Homan, Susan; King, James R.; Hogarty, Kris

Over the last 2 years, Accelerated Literacy Learning (ALL) has experimented with the small group model in early literacy intervention, with success comparable to that in one-to-one intervention. There can be little doubt that intervention provided to struggling readers is most effectively initiated at an early stage. The ALL program was conceived…

Perceptions of the Impact of Online Learning as a Distance-Based Learning Model on the Professional Practices of Working Nurses in Northern Ontario

ERIC Educational Resources Information Center

Carter, Lorraine; Hanna, Mary; Warry, Wayne

2016-01-01

Nurses in Canada face diverse challenges to their ongoing educational pursuits. As a result, they have been early adopters of courses and programs based on distance education principles and, in particular, online learning models. In the study described in this paper, nurses studying at two northern universities, in programs involving online…

Transgenerational latent early-life associated regulation unites environment and genetics across generations

PubMed Central

Lahiri, Debomoy K; Maloney, Bryan; Bayon, Baindu L; Chopra, Nipun; White, Fletcher A; Greig, Nigel H; Nurnberger, John I

2016-01-01

The origin of idiopathic diseases is still poorly understood. The latent early-life associated regulation (LEARn) model unites environmental exposures and gene expression while providing a mechanistic underpinning for later-occurring disorders. We propose that this process can occur across generations via transgenerational LEARn (tLEARn). In tLEARn, each person is a ‘unit’ accumulating preclinical or subclinical ‘hits’ as in the original LEARn model. These changes can then be epigenomically passed along to offspring. Transgenerational accumulation of ‘hits’ determines a sporadic disease state. Few significant transgenerational hits would accompany conception or gestation of most people, but these may suffice to ‘prime’ someone to respond to later-life hits. Hits need not produce symptoms or microphenotypes to have a transgenerational effect. Testing tLEARn requires longitudinal approaches. A recently proposed longitudinal epigenome/envirome-wide association study would unite genetic sequence, epigenomic markers, environmental exposures, patient personal history taken at multiple time points and family history. PMID:26950428

Using a logic model to evaluate the Kids Together early education inclusion program for children with disabilities and additional needs.

PubMed

Clapham, Kathleen; Manning, Claire; Williams, Kathryn; O'Brien, Ginger; Sutherland, Margaret

2017-04-01

Despite clear evidence that learning and social opportunities for children with disabilities and special needs are more effective in inclusive not segregated settings, there are few known effective inclusion programs available to children with disabilities, their families or teachers in the early years within Australia. The Kids Together program was developed to support children with disabilities/additional needs aged 0-8 years attending mainstream early learning environments. Using a key worker transdisciplinary team model, the program aligns with the individualised package approach of the National Disability Insurance Scheme (NDIS). This paper reports on the use of a logic model to underpin the process, outcomes and impact evaluation of the Kids Together program. The research team worked across 15 Early Childhood Education and Care (ECEC) centres and in home and community settings. A realist evaluation using mixed methods was undertaken to understand what works, for whom and in what contexts. The development of a logic model provided a structured way to explore how the program was implemented and achieved short, medium and long term outcomes within a complex community setting. Kids Together was shown to be a highly effective and innovative model for supporting the inclusion of children with disabilities/additional needs in a range of environments central for early childhood learning and development. The use of a logic model provided a visual representation of the Kids Together model and its component parts and enabled a theory of change to be inferred, showing how a coordinated and collaborative approached can work across multiple environments. Copyright © 2016 Elsevier Ltd. All rights reserved.

Supporting Early Adolescent Learning and Social Strengths: Promoting Productive Contexts for Students At-Risk for EBD during the Transition to Middle School

ERIC Educational Resources Information Center

Farmer, Thomas W.; Hamm, Jill V.; Petrin, Robert A.; Robertson, Dylan; Murray, Robert A.; Meece, Judith L.; Brooks, Debbie Sprott

2010-01-01

This study involved a pilot examination of the impact of the Supporting Early Adolescent Learning and Social Strengths (SEALS) model on the 6th grade academic and social context following the transition to middle school. Two middle schools from a high poverty Appalachian school district were randomly assigned to the intervention and control…

Indentifying Latent Classes and Testing Their Determinants in Early Adolescents' Use of Computers and Internet for Learning

ERIC Educational Resources Information Center

Heo, Gyun

2013-01-01

The purpose of the present study was to identify latent classes resting on early adolescents' change trajectory patterns in using computers and the Internet for learning and to test the effects of gender, self-control, self-esteem, and game use in South Korea. Latent growth mixture modeling (LGMM) was used to identify subpopulations in the Korea…

Auditory Processing in Noise: A Preschool Biomarker for Literacy.

PubMed

White-Schwoch, Travis; Woodruff Carr, Kali; Thompson, Elaine C; Anderson, Samira; Nicol, Trent; Bradlow, Ann R; Zecker, Steven G; Kraus, Nina

2015-07-01

Learning to read is a fundamental developmental milestone, and achieving reading competency has lifelong consequences. Although literacy development proceeds smoothly for many children, a subset struggle with this learning process, creating a need to identify reliable biomarkers of a child's future literacy that could facilitate early diagnosis and access to crucial early interventions. Neural markers of reading skills have been identified in school-aged children and adults; many pertain to the precision of information processing in noise, but it is unknown whether these markers are present in pre-reading children. Here, in a series of experiments in 112 children (ages 3-14 y), we show brain-behavior relationships between the integrity of the neural coding of speech in noise and phonology. We harness these findings into a predictive model of preliteracy, revealing that a 30-min neurophysiological assessment predicts performance on multiple pre-reading tests and, one year later, predicts preschoolers' performance across multiple domains of emergent literacy. This same neural coding model predicts literacy and diagnosis of a learning disability in school-aged children. These findings offer new insight into the biological constraints on preliteracy during early childhood, suggesting that neural processing of consonants in noise is fundamental for language and reading development. Pragmatically, these findings open doors to early identification of children at risk for language learning problems; this early identification may in turn facilitate access to early interventions that could prevent a life spent struggling to read.

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

PubMed

Jochems, Arthur; El-Naqa, Issam; Kessler, Marc; Mayo, Charles S; Jolly, Shruti; Matuszak, Martha; Faivre-Finn, Corinne; Price, Gareth; Holloway, Lois; Vinod, Shalini; Field, Matthew; Barakat, Mohamed Samir; Thwaites, David; de Ruysscher, Dirk; Dekker, Andre; Lambin, Philippe

2018-02-01

Early death after a treatment can be seen as a therapeutic failure. Accurate prediction of patients at risk for early mortality is crucial to avoid unnecessary harm and reducing costs. The goal of our work is two-fold: first, to evaluate the performance of a previously published model for early death in our cohorts. Second, to develop a prognostic model for early death prediction following radiotherapy. Patients with NSCLC treated with chemoradiotherapy or radiotherapy alone were included in this study. Four different cohorts from different countries were available for this work (N = 1540). The previous model used age, gender, performance status, tumor stage, income deprivation, no previous treatment given (yes/no) and body mass index to make predictions. A random forest model was developed by learning on the Maastro cohort (N = 698). The new model used performance status, age, gender, T and N stage, total tumor volume (cc), total tumor dose (Gy) and chemotherapy timing (none, sequential, concurrent) to make predictions. Death within 4 months of receiving the first radiotherapy fraction was used as the outcome. Early death rates ranged from 6 to 11% within the four cohorts. The previous model performed with AUC values ranging from 0.54 to 0.64 on the validation cohorts. Our newly developed model had improved AUC values ranging from 0.62 to 0.71 on the validation cohorts. Using advanced machine learning methods and informative variables, prognostic models for early mortality can be developed. Development of accurate prognostic tools for early mortality is important to inform patients about treatment options and optimize care.

Early Start Denver Model for Young Children with Autism: Promoting Language, Learning, and Engagement

ERIC Educational Resources Information Center

Rogers, Sally J.; Dawson, Geraldine

2009-01-01

From leading authorities, this state-of-the-art manual presents the Early Start Denver Model (ESDM), the first comprehensive, empirically tested intervention specifically designed for toddlers and preschoolers with autism. Supported by the principles of developmental psychology and applied behavior analysis, ESDM's intensive teaching interventions…

A Qualitative Approach to Portfolios: The Early Assessment for Exceptional Potential Model.

ERIC Educational Resources Information Center

Shaklee, Beverly D.; Viechnicki, Karen J.

1995-01-01

The Early Assessment for Exceptional Potential portfolio assessment model assesses children as exceptional learners, users, generators, and pursuers of knowledge. It is based on use of authentic learning opportunities; interaction of assessment, curriculum, and instruction; multiple criteria derived from multiple sources; and systematic teacher…

Immigration and the Interplay of Parenting, Preschool Enrollment, and Young Children's Academic Skills

PubMed Central

Ansari, Arya; Crosnoe, Robert

2015-01-01

This study tested a conceptual model of the reciprocal relations among parents’ support for early learning and children's academic skills and preschool enrollment. Structural equation modeling of data from 6,250 children (ages 2-5) and parents in the nationally representative Early Childhood Longitudinal Study-Birth Cohort (ECLS-B) revealed that parental support for early learning was associated with gains in children's academic skills, which, in turn, were associated with their likelihood of preschool attendance. Preschool experience then was associated with further gains in children's early academic competencies, which were then associated with increased parental support. These patterns varied by parents' nativity status. Specifically, foreign-born parents' support for early learning was directly linked with preschool enrollment and the association between the academic skills of children and parental support was also stronger for foreign-born parents. These immigration-related patterns were primarily driven by immigrant families who originated from Latin America, rather than Asia and did not vary by immigrants’ socioeconomic circumstances. Together, these results underscore the value of considering the synergistic relations between the home and school systems as well as “child effects” and population diversity in developmental research. PMID:25938712

Networks of Learning

NASA Astrophysics Data System (ADS)

Bettencourt, Luis; Kaiser, David

2004-03-01

Based on an a historically documented example of scientific discovery - Feynman diagrams as the main calculational tool of theoretical high energy Physics - we map the time evolution of the social network of early adopters through in the US, UK, Japan and the USSR. The spread of the technique for total number of users in each region is then modelled in terms of epidemic models, highlighting parallel and divergent aspects of this analogy. We also show that transient social arrangements develop as the idea is introduced and learned, which later disappear as the technique becomes common knowledge. Such early transient is characterized by abnormally low connectivity distribution powers and by high clustering. This interesting early non-equilibrium stage of network evolution is captured by a new dynamical model for network evolution, which coincides in its long time limit with familiar preferential aggregation dynamics.

Medical Students' Emotional Development in Early Clinical Experience: A Model

ERIC Educational Resources Information Center

Helmich, Esther; Bolhuis, Sanneke; Laan, Roland; Dornan, Tim; Koopmans, Raymond

2014-01-01

Dealing with emotions is a critical feature of professional behaviour. There are no comprehensive theoretical models, however, explaining how medical students learn about emotions. We aimed to explore factors affecting their emotions and how they learn to deal with emotions in themselves and others. During a first-year nursing attachment in…

Critical Learning Periods and Programs of Early Intervention.

ERIC Educational Resources Information Center

Magill, Richard A.

In an effort to clarify understanding of the concept of critical learning periods, this paper discusses problems that people concerned with the motor development of children have had determining relationships between critical periods and learning, and a "readiness model" is offered as a solution that could enhance understanding of critical…

Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models

ERIC Educational Resources Information Center

Sabourin, Jennifer L.; Mott, Bradford W.; Lester, James C.

2012-01-01

Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing interest. Unfortunately, monitoring these behaviors in real-time has proven…

Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.

PubMed

Narula, Sukrit; Shameer, Khader; Salem Omar, Alaa Mabrouk; Dudley, Joel T; Sengupta, Partho P

2016-11-29

Machine-learning models may aid cardiac phenotypic recognition by using features of cardiac tissue deformation. This study investigated the diagnostic value of a machine-learning framework that incorporates speckle-tracking echocardiographic data for automated discrimination of hypertrophic cardiomyopathy (HCM) from physiological hypertrophy seen in athletes (ATH). Expert-annotated speckle-tracking echocardiographic datasets obtained from 77 ATH and 62 HCM patients were used for developing an automated system. An ensemble machine-learning model with 3 different machine-learning algorithms (support vector machines, random forests, and artificial neural networks) was developed and a majority voting method was used for conclusive predictions with further K-fold cross-validation. Feature selection using an information gain (IG) algorithm revealed that volume was the best predictor for differentiating between HCM ands. ATH (IG = 0.24) followed by mid-left ventricular segmental (IG = 0.134) and average longitudinal strain (IG = 0.131). The ensemble machine-learning model showed increased sensitivity and specificity compared with early-to-late diastolic transmitral velocity ratio (p < 0.01), average early diastolic tissue velocity (e') (p < 0.01), and strain (p = 0.04). Because ATH were younger, adjusted analysis was undertaken in younger HCM patients and compared with ATH with left ventricular wall thickness >13 mm. In this subgroup analysis, the automated model continued to show equal sensitivity, but increased specificity relative to early-to-late diastolic transmitral velocity ratio, e', and strain. Our results suggested that machine-learning algorithms can assist in the discrimination of physiological versus pathological patterns of hypertrophic remodeling. This effort represents a step toward the development of a real-time, machine-learning-based system for automated interpretation of echocardiographic images, which may help novice readers with limited experience. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Illinois' Early Childhood Innovation Zones: A New Model for State Policy? IERC 2017-1. Research Highlights

ERIC Educational Resources Information Center

White, Bradford R.; Colaninno, Carol E.; Doll, Mimi; Lewandowski, Holly

2017-01-01

The Early Childhood Innovation Zones initiative was established by Illinois Action for Children (IAFC), with guidance from the Illinois Governor's Office for Early Childhood Development. Funded by a Race to the Top--Early Learning Challenge grant, this initiative supported capacity building efforts for organizations working with young children in…

The Designing of CALM (Computer Anxiety and Learning Measure): Validation of a Multidimensional Measure of Anxiety and Cognitions Relating to Adult Learning of Computing Skills Using Structural Equation Modeling.

ERIC Educational Resources Information Center

McInerney, Valentina; Marsh, Herbert W.; McInerney, Dennis M.

This paper discusses the process through which a powerful multidimensional measure of affect and cognition in relation to adult learning of computing skills was derived from its early theoretical stages to its validation using structural equation modeling. The discussion emphasizes the importance of ensuring a strong substantive base from which to…

The international society for developmental psychobiology Sackler symposium: early adversity and the maturation of emotion circuits--a cross-species analysis.

PubMed

Callaghan, Bridget L; Sullivan, Regina M; Howell, Brittany; Tottenham, Nim

2014-12-01

Early-life caregiving shapes the architecture and function of the developing brain. The fact that the infant-caregiver relationship is critically important for infant functioning across all altricial species, and that the anatomical circuits supporting emotional functioning are highly preserved across different species, suggests that the results of studies examining the role of early adversity and emotional functioning should be translatable across species. Here we present findings from four different research laboratories, using three different species, which have converged on a similar finding: adversity accelerates the developmental trajectory of amygdala-prefrontal cortex (PFC) development and modifies emotional behaviors. First, a rodent model of attachment learning associated with adversity is presented showing precocial disruption of attachment learning and emergence of heightened fear learning and emotionality. Second, a model of infant-mother separation is presented in which early adversity is shown to accelerate the developmental emergence of adult-like fear retention and extinction. Third, a model of early life adversity in Rhesus monkeys is presented in which a naturally occurring variation in maternal-care (abuse) is shown to alter the functioning of emotion circuits. Finally, a human model of maternal deprivation is presented in which children born into orphanages and then adopted abroad exhibit aberrant development of emotion circuits. The convergence of these cross-species studies on early life adversity suggests that adversity targets the amygdala and PFC and has immediate impact on infant behavior with the caregiver, and emotional reactions to the world. These results provide insight into mechanisms responsible for caregiver induced mental health trajectory alterations. © 2014 Wiley Periodicals, Inc.

Using Generalizability Theory to Examine the Dependability of Scores from the Learning Target Rating Scale

ERIC Educational Resources Information Center

McLaughlin, Tara W.; Snyder, Patricia A.; Algina, James

2017-01-01

The Learning Target Rating Scale (LTRS) is a measure designed to evaluate the quality of teacher-developed learning targets for embedded instruction for early learning. In the present study, we examined the measurement dependability of LTRS scores by conducting a generalizability study (G-study). We used a partially nested, three-facet model to…

iNACOL Blended Learning Teacher Competency Framework

ERIC Educational Resources Information Center

Powell, Allison; Rabbitt, Beth; Kennedy, Kathryn

2014-01-01

In recent years there has been a dramatic rise in interest and early adoption of blended learning to improve the educational experiences of students. A great amount of work has been done to codify approaches, with tools and resources emphasizing the structural components of new models, such as the configuration of physical learning space, use of…

Beginning to Learn.

ERIC Educational Resources Information Center

Atkinson, Christine

1982-01-01

Discusses theories on the acquisition of early learning. The author suggests that an infant's innate physiological reflexes cause him or her to respond to adults in a way that stimulates the adults to model and reinforce socially acceptable behavior and communication patterns. (AM)

Exploiting ensemble learning for automatic cataract detection and grading.

PubMed

Yang, Ji-Jiang; Li, Jianqiang; Shen, Ruifang; Zeng, Yang; He, Jian; Bi, Jing; Li, Yong; Zhang, Qinyan; Peng, Lihui; Wang, Qing

2016-02-01

Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one of the most common causes of visual impairment worldwide. Early diagnosis demands the expertise of trained healthcare professionals, which may present a barrier to early intervention due to underlying costs. To date, studies reported in the literature utilize a single learning model for retinal image classification in grading cataract severity. We present an ensemble learning based approach as a means to improving diagnostic accuracy. Three independent feature sets, i.e., wavelet-, sketch-, and texture-based features, are extracted from each fundus image. For each feature set, two base learning models, i.e., Support Vector Machine and Back Propagation Neural Network, are built. Then, the ensemble methods, majority voting and stacking, are investigated to combine the multiple base learning models for final fundus image classification. Empirical experiments are conducted for cataract detection (two-class task, i.e., cataract or non-cataractous) and cataract grading (four-class task, i.e., non-cataractous, mild, moderate or severe) tasks. The best performance of the ensemble classifier is 93.2% and 84.5% in terms of the correct classification rates for cataract detection and grading tasks, respectively. The results demonstrate that the ensemble classifier outperforms the single learning model significantly, which also illustrates the effectiveness of the proposed approach. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Locomotor function after long-duration space flight: effects and motor learning during recovery.

PubMed

Mulavara, Ajitkumar P; Feiveson, Alan H; Fiedler, James; Cohen, Helen; Peters, Brian T; Miller, Chris; Brady, Rachel; Bloomberg, Jacob J

2010-05-01

Astronauts returning from space flight and performing Earth-bound activities must rapidly transition from the microgravity-adapted sensorimotor state to that of Earth's gravity. The goal of the current study was to assess locomotor dysfunction and recovery of function after long-duration space flight using a test of functional mobility. Eighteen International Space Station crewmembers experiencing an average flight duration of 185 days performed the functional mobility test (FMT) pre-flight and post-flight. To perform the FMT, subjects walked at a self selected pace through an obstacle course consisting of several pylons and obstacles set up on a base of 10-cm-thick, medium-density foam for a total of six trials per test session. The primary outcome measure was the time to complete the course (TCC, in seconds). To assess the long-term recovery trend of locomotor function after return from space flight, a multilevel exponential recovery model was fitted to the log-transformed TCC data. All crewmembers exhibited altered locomotor function after space flight, with a median 48% increase in the TCC. From the fitted model we calculated that a typical subject would recover to 95% of his/her pre-flight level at approximately 15 days post-flight. In addition, to assess the early motor learning responses after returning from space flight, we modeled performance over the six trials during the first post-flight session by a similar multilevel exponential relation. We found a significant positive correlation between measures of long-term recovery and early motor learning (P < 0.001) obtained from the respective models. We concluded that two types of recovery processes influence an astronaut's ability to re-adapt to Earth's gravity environment. Early motor learning helps astronauts make rapid modifications in their motor control strategies during the first hours after landing. Further, this early motor learning appears to reinforce the adaptive realignment, facilitating re-adaptation to Earth's 1-g environment on return from space flight.

A neurocomputational theory of how explicit learning bootstraps early procedural learning.

PubMed

Paul, Erick J; Ashby, F Gregory

2013-01-01

It is widely accepted that human learning and memory is mediated by multiple memory systems that are each best suited to different requirements and demands. Within the domain of categorization, at least two systems are thought to facilitate learning: an explicit (declarative) system depending largely on the prefrontal cortex, and a procedural (non-declarative) system depending on the basal ganglia. Substantial evidence suggests that each system is optimally suited to learn particular categorization tasks. However, it remains unknown precisely how these systems interact to produce optimal learning and behavior. In order to investigate this issue, the present research evaluated the progression of learning through simulation of categorization tasks using COVIS, a well-known model of human category learning that includes both explicit and procedural learning systems. Specifically, the model's parameter space was thoroughly explored in procedurally learned categorization tasks across a variety of conditions and architectures to identify plausible interaction architectures. The simulation results support the hypothesis that one-way interaction between the systems occurs such that the explicit system "bootstraps" learning early on in the procedural system. Thus, the procedural system initially learns a suboptimal strategy employed by the explicit system and later refines its strategy. This bootstrapping could be from cortical-striatal projections that originate in premotor or motor regions of cortex, or possibly by the explicit system's control of motor responses through basal ganglia-mediated loops.

Early Childhood Teacher Preparation: A Tale of Authors and Multimedia, A Model of Technology Integration Described.

ERIC Educational Resources Information Center

Wetzel, Keith; McLean, S. V.

1997-01-01

Describes collaboration of two teacher educators, one in early childhood language arts and one in computers in education. Discusses advantages and disadvantages and extensions of this model, including how a college-wide survey revealed that students in teamed courses are better prepared to teach and learn with technology. (DR)

Striatal dysfunction during reversal learning in unmedicated schizophrenia patients☆

PubMed Central

Schlagenhauf, Florian; Huys, Quentin J.M.; Deserno, Lorenz; Rapp, Michael A.; Beck, Anne; Heinze, Hans-Joachim; Dolan, Ray; Heinz, Andreas

2014-01-01

Subjects with schizophrenia are impaired at reinforcement-driven reversal learning from as early as their first episode. The neurobiological basis of this deficit is unknown. We obtained behavioral and fMRI data in 24 unmedicated, primarily first episode, schizophrenia patients and 24 age-, IQ- and gender-matched healthy controls during a reversal learning task. We supplemented our fMRI analysis, focusing on learning from prediction errors, with detailed computational modeling to probe task solving strategy including an ability to deploy an internal goal directed model of the task. Patients displayed reduced functional activation in the ventral striatum (VS) elicited by prediction errors. However, modeling task performance revealed that a subgroup did not adjust their behavior according to an accurate internal model of the task structure, and these were also the more severely psychotic patients. In patients who could adapt their behavior, as well as in controls, task solving was best described by cognitive strategies according to a Hidden Markov Model. When we compared patients and controls who acted according to this strategy, patients still displayed a significant reduction in VS activation elicited by informative errors that precede salient changes of behavior (reversals). Thus, our study shows that VS dysfunction in schizophrenia patients during reward-related reversal learning remains a core deficit even when controlling for task solving strategies. This result highlights VS dysfunction is tightly linked to a reward-related reversal learning deficit in early, unmedicated schizophrenia patients. PMID:24291614

Using speakers' referential intentions to model early cross-situational word learning.

PubMed

Frank, Michael C; Goodman, Noah D; Tenenbaum, Joshua B

2009-05-01

Word learning is a "chicken and egg" problem. If a child could understand speakers' utterances, it would be easy to learn the meanings of individual words, and once a child knows what many words mean, it is easy to infer speakers' intended meanings. To the beginning learner, however, both individual word meanings and speakers' intentions are unknown. We describe a computational model of word learning that solves these two inference problems in parallel, rather than relying exclusively on either the inferred meanings of utterances or cross-situational word-meaning associations. We tested our model using annotated corpus data and found that it inferred pairings between words and object concepts with higher precision than comparison models. Moreover, as the result of making probabilistic inferences about speakers' intentions, our model explains a variety of behavioral phenomena described in the word-learning literature. These phenomena include mutual exclusivity, one-trial learning, cross-situational learning, the role of words in object individuation, and the use of inferred intentions to disambiguate reference.

Supporting Teachers' Professional Learning at a Distance: A Model for Change in At-Risk Contexts

ERIC Educational Resources Information Center

Warren, Elizabeth A.; Quine, Janine; DeVries, Eva

2012-01-01

This paper examines the effectiveness of a professional learning model developed to support early years teachers in rural and remote communities in Queensland as they began to implement the Australian Curriculum in Mathematics. The data are drawn from 35 teachers at the initial stage of a large, four year longitudinal study RoleM (Representations,…

Summer Camp: Language Learning beyond the Walls--A Grassroots Model for Summer Immersion Camp

ERIC Educational Resources Information Center

Seewald, Amanda

2012-01-01

In efforts to improve, expand and inspire language learning to become a basic and essential component of the landscape of the educational system, one must reach out beyond the walls of the classroom to engage learners early. Real-world learning and energized, playful, interactive language experiences that inspire can drastically change the…

Facilitating Participation: From the EML Web Site to the Learning Network for Learning Design

ERIC Educational Resources Information Center

Hummel, Hans G. K.; Tattersall, Colin; Burgos, Daniel; Brouns, Francis; Kurvers, Hub; Koper, Rob

2005-01-01

This article investigates conditions for increasing active participation in on-line communities. As a case study, we use three generations of facilities designed to promote learning in the area of Educational Modelling Languages. Following a description of early experience with a conventional web site and with a community site offering facilities…

Blending toward Competency. Early Patterns of Blended Learning and Competency-Based Education in New Hampshire

ERIC Educational Resources Information Center

Freeland, Julia

2014-01-01

As the education field strives to differentiate and personalize learning to cater to each student, two related movements are gaining attention: competency-based education and blended learning. In competency-based models, students advance on the basis of mastery, rather than according to the traditional methods of counting progress in terms of time…

A Conceptual Model and Set of Instruments for Measuring Student Engagement in Learning

ERIC Educational Resources Information Center

Goldspink, Christopher; Foster, Margot

2013-01-01

This work has its origins with research into the effects of pedagogy on student engagement and learning outcomes. It summarises the development of self-report and observation instruments for measuring student engagement suitable for early years to senior secondary. The measures are sensitive to the context and experience of learning rather than,…

Clinical Models of Learning Disability in a Study of Intact Groups of Six-Year-Olds.

ERIC Educational Resources Information Center

Hagin, Rosa A.; And Others

This paper discusses the definition of learning disability through the concept of early identification of vulnerable children, based on a study of 650 inner-city preschool children. While the study's first step, scanning, identified the children who were vulnerable to learning disability, the second step, diagnosis, attempted to find the reasons…

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

PubMed

Awad, Aya; Bader-El-Den, Mohamed; McNicholas, James; Briggs, Jim

2017-12-01

Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By contrast, early mortality prediction for intensive care unit patients remains an open challenge. Most research has focused on severity of illness scoring systems or data mining (DM) models designed for risk estimation at least 24 or 48h after ICU admission. This study highlights the main data challenges in early mortality prediction in ICU patients and introduces a new machine learning based framework for Early Mortality Prediction for Intensive Care Unit patients (EMPICU). The proposed method is evaluated on the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II) database. Mortality prediction models are developed for patients at the age of 16 or above in Medical ICU (MICU), Surgical ICU (SICU) or Cardiac Surgery Recovery Unit (CSRU). We employ the ensemble learning Random Forest (RF), the predictive Decision Trees (DT), the probabilistic Naive Bayes (NB) and the rule-based Projective Adaptive Resonance Theory (PART) models. The primary outcome was hospital mortality. The explanatory variables included demographic, physiological, vital signs and laboratory test variables. Performance measures were calculated using cross-validated area under the receiver operating characteristic curve (AUROC) to minimize bias. 11,722 patients with single ICU stays are considered. Only patients at the age of 16 years old and above in Medical ICU (MICU), Surgical ICU (SICU) or Cardiac Surgery Recovery Unit (CSRU) are considered in this study. The proposed EMPICU framework outperformed standard scoring systems (SOFA, SAPS-I, APACHE-II, NEWS and qSOFA) in terms of AUROC and time (i.e. at 6h compared to 48h or more after admission). The results show that although there are many values missing in the first few hour of ICU admission, there is enough signal to effectively predict mortality during the first 6h of admission. The proposed framework, in particular the one that uses the ensemble learning approach - EMPICU Random Forest (EMPICU-RF) offers a base to construct an effective and novel mortality prediction model in the early hours of an ICU patient admission, with an improved performance profile. Copyright © 2017 Elsevier B.V. All rights reserved.

Early experience shapes vocal neural coding and perception in songbirds

PubMed Central

Woolley, Sarah M. N.

2012-01-01

Songbirds, like humans, are highly accomplished vocal learners. The many parallels between speech and birdsong and conserved features of mammalian and avian auditory systems have led to the emergence of the songbird as a model system for studying the perceptual mechanisms of vocal communication. Laboratory research on songbirds allows the careful control of early life experience and high-resolution analysis of brain function during vocal learning, production and perception. Here, I review what songbird studies have revealed about the role of early experience in the development of vocal behavior, auditory perception and the processing of learned vocalizations by auditory neurons. The findings of these studies suggest general principles for how exposure to vocalizations during development and into adulthood influences the perception of learned vocal signals. PMID:22711657

"This Is My Family outside of My Family": Care-Based Relating in a Model Early College High School

ERIC Educational Resources Information Center

Ari, Omer; Fisher-Ari, Teresa R.; Killacky, Jim; Angel, Roma

2017-01-01

Early college (EC) is a novel educational model in the US that combines high school and college in an effort to increase underrepresented students' access to higher education by providing engaging, hands-on instruction in a supportive learning environment. For this phenomenological inquiry, we sought to understand the role of care-based relating…

Brief Report: Predictors of Outcomes in the Early Start Denver Model Delivered in a Group Setting

ERIC Educational Resources Information Center

Vivanti, Giacomo; Dissanayake, Cheryl; Zierhut, Cynthia; Rogers, Sally J.

2013-01-01

There is a paucity of studies that have looked at factors associated with responsiveness to interventions in preschoolers with autism spectrum disorder (ASD). We investigated learning profiles associated with response to the Early Start Denver Model delivered in a group setting. Our preliminary results from 21 preschool children with an ASD aged…

The Impact of Communities of Practice in Support of Early-Career Academics

ERIC Educational Resources Information Center

Cox, Milton D.

2013-01-01

This paper traces the history and impact of communities of practice (CoPs) in supporting early-career academics, although the primary focus here in the United States is on the faculty learning community (FLC) model, a special type of CoP in higher education. The initial development of this model, beginning in 1979, takes place over two decades at…

Building professionalism and employability skills: embedding employer engagement within first-year computing modules

NASA Astrophysics Data System (ADS)

Hanna, Philip; Allen, Angela; Kane, Russell; Anderson, Neil; McGowan, Aidan; Collins, Matthew; Hutchison, Malcolm

2015-07-01

This paper outlines a means of improving the employability skills of first-year university students through a closely integrated model of employer engagement within computer science modules. The outlined approach illustrates how employability skills, including communication, teamwork and time management skills, can be contextualised in a manner that directly relates to student learning but can still be linked forward into employment. The paper tests the premise that developing employability skills early within the curriculum will result in improved student engagement and learning within later modules. The paper concludes that embedding employer participation within first-year models can help relate a distant notion of employability into something of more immediate relevance in terms of how students can best approach learning. Further, by enhancing employability skills early within the curriculum, it becomes possible to improve academic attainment within later modules.

Early prediction of student goals and affect in narrative-centered learning environments

NASA Astrophysics Data System (ADS)

Lee, Sunyoung

Recent years have seen a growing recognition of the role of goal and affect recognition in intelligent tutoring systems. Goal recognition is the task of inferring users' goals from a sequence of observations of their actions. Because of the uncertainty inherent in every facet of human computer interaction, goal recognition is challenging, particularly in contexts in which users can perform many actions in any order, as is the case with intelligent tutoring systems. Affect recognition is the task of identifying the emotional state of a user from a variety of physical cues, which are produced in response to affective changes in the individual. Accurately recognizing student goals and affect states could contribute to more effective and motivating interactions in intelligent tutoring systems. By exploiting knowledge of student goals and affect states, intelligent tutoring systems can dynamically modify their behavior to better support individual students. To create effective interactions in intelligent tutoring systems, goal and affect recognition models should satisfy two key requirements. First, because incorrectly predicted goals and affect states could significantly diminish the effectiveness of interactive systems, goal and affect recognition models should provide accurate predictions of user goals and affect states. When observations of users' activities become available, recognizers should make accurate early" predictions. Second, goal and affect recognition models should be highly efficient so they can operate in real time. To address key issues, we present an inductive approach to recognizing student goals and affect states in intelligent tutoring systems by learning goals and affect recognition models. Our work focuses on goal and affect recognition in an important new class of intelligent tutoring systems, narrative-centered learning environments. We report the results of empirical studies of induced recognition models from observations of students' interactions in narrative-centered learning environments. Experimental results suggest that induced models can make accurate early predictions of student goals and affect states, and they are sufficiently efficient to meet the real-time performance requirements of interactive learning environments.

Big data analytics for early detection of breast cancer based on machine learning

NASA Astrophysics Data System (ADS)

Ivanova, Desislava

2017-12-01

This paper presents the concept and the modern advances in personalized medicine that rely on technology and review the existing tools for early detection of breast cancer. The breast cancer types and distribution worldwide is discussed. It is spent time to explain the importance of identifying the normality and to specify the main classes in breast cancer, benign or malignant. The main purpose of the paper is to propose a conceptual model for early detection of breast cancer based on machine learning for processing and analysis of medical big dataand further knowledge discovery for personalized treatment. The proposed conceptual model is realized by using Naive Bayes classifier. The software is written in python programming language and for the experiments the Wisconsin breast cancer database is used. Finally, the experimental results are presented and discussed.

Accuracy of deep learning, a machine-learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment.

PubMed

Ohsugi, Hideharu; Tabuchi, Hitoshi; Enno, Hiroki; Ishitobi, Naofumi

2017-08-25

Rhegmatogenous retinal detachment (RRD) is a serious condition that can lead to blindness; however, it is highly treatable with timely and appropriate treatment. Thus, early diagnosis and treatment of RRD is crucial. In this study, we applied deep learning, a machine-learning technology, to detect RRD using ultra-wide-field fundus images and investigated its performance. In total, 411 images (329 for training and 82 for grading) from 407 RRD patients and 420 images (336 for training and 84 for grading) from 238 non-RRD patients were used in this study. The deep learning model demonstrated a high sensitivity of 97.6% [95% confidence interval (CI), 94.2-100%] and a high specificity of 96.5% (95% CI, 90.2-100%), and the area under the curve was 0.988 (95% CI, 0.981-0.995). This model can improve medical care in remote areas where eye clinics are not available by using ultra-wide-field fundus ophthalmoscopy for the accurate diagnosis of RRD. Early diagnosis of RRD can prevent blindness.

Probabilistic learning and inference in schizophrenia

PubMed Central

Averbeck, Bruno B.; Evans, Simon; Chouhan, Viraj; Bristow, Eleanor; Shergill, Sukhwinder S.

2010-01-01

Patients with schizophrenia make decisions on the basis of less evidence when required to collect information to make an inference, a behavior often called jumping to conclusions. The underlying basis for this behaviour remains controversial. We examined the cognitive processes underpinning this finding by testing subjects on the beads task, which has been used previously to elicit jumping to conclusions behaviour, and a stochastic sequence learning task, with a similar decision theoretic structure. During the sequence learning task, subjects had to learn a sequence of button presses, while receiving noisy feedback on their choices. We fit a Bayesian decision making model to the sequence task and compared model parameters to the choice behavior in the beads task in both patients and healthy subjects. We found that patients did show a jumping to conclusions style; and those who picked early in the beads task tended to learn less from positive feedback in the sequence task. This favours the likelihood of patients selecting early because they have a low threshold for making decisions, and that they make choices on the basis of relatively little evidence. PMID:20810252

Probabilistic learning and inference in schizophrenia.

PubMed

Averbeck, Bruno B; Evans, Simon; Chouhan, Viraj; Bristow, Eleanor; Shergill, Sukhwinder S

2011-04-01

Patients with schizophrenia make decisions on the basis of less evidence when required to collect information to make an inference, a behavior often called jumping to conclusions. The underlying basis for this behavior remains controversial. We examined the cognitive processes underpinning this finding by testing subjects on the beads task, which has been used previously to elicit jumping to conclusions behavior, and a stochastic sequence learning task, with a similar decision theoretic structure. During the sequence learning task, subjects had to learn a sequence of button presses, while receiving a noisy feedback on their choices. We fit a Bayesian decision making model to the sequence task and compared model parameters to the choice behavior in the beads task in both patients and healthy subjects. We found that patients did show a jumping to conclusions style; and those who picked early in the beads task tended to learn less from positive feedback in the sequence task. This favours the likelihood of patients selecting early because they have a low threshold for making decisions, and that they make choices on the basis of relatively little evidence. Published by Elsevier B.V.

Shifting workplace behavior to inspire learning: a journey to building a learning culture.

PubMed

Schoonbeek, Sue; Henderson, Amanda

2011-01-01

This article discusses the process of building a learning culture. It began with establishing acceptance and connection with the nurse unit manager and the ward team. In the early phases of developing rapport, bullying became apparent. Because bullying undermines sharing and trust, the hallmarks of learning environments, the early intervention work assisted staff to recognize and counteract bullying behaviors. When predominantly positive relationships were restored, interactions that facilitated open communication, including asking questions and providing feedback-behaviors commensurate with learning in the workplace-were developed during regular in-service sessions. Staff participated in role-play and role modeling desired behaviors. Once staff became knowledgeable about positive learning interactions, reward and recognition strategies began to reinforce attitudes and behaviors that align with learning. Through rewards, all nurses had the opportunity to be recognized for their contribution. Nurses who excelled were invited to become champions to continue engaging the key stakeholders to further build the learning environment. Copyright 2011, SLACK Incorporated.

What shapes 7-year-olds' subjective well-being? Prospective analysis of early childhood and parenting using the Growing Up in Scotland study.

PubMed

Parkes, Alison; Sweeting, Helen; Wight, Daniel

2016-10-01

Research on predictors of young children's psychosocial well-being currently relies on adult-reported outcomes. This study investigated whether early family circumstances and parenting predict 7-year-olds' subjective well-being. Information on supportive friendships, liking school and life satisfaction was obtained from 7-year-olds in one Growing Up in Scotland birth cohort in 2012-2013 (N = 2869). Mothers provided information on early childhood factors from 10 to 34 months, parenting (dysfunctional parenting, home learning and protectiveness) from 46 to 70 months, and 7-year-olds' adjustment. Multivariable path models explored associations between early childhood factors, parenting and 7-year-olds' subjective well-being. Supplementary analyses compared findings with those for mother-reported adjustment. In a model of early childhood factors, maternal distress predicted less supportive friendships and lower life satisfaction (coefficients -0.12), poverty predicted less supportive friendships (-0.09) and remote location predicted all outcomes (-0.20 to -0.27). In a model with parenting added, dysfunctional parenting predicted all outcomes (-10 to -0.16), home learning predicted liking school (0.11) and life satisfaction (0.08), and protectiveness predicted life satisfaction (0.08). Effects of maternal distress were fully mediated, largely via dysfunctional parenting, while home learning mediated negative effects of low maternal education. Direct effects of poverty and remote location remained. Findings for mother-reported child adjustment were broadly similar. Unique prospective data show parenting and early childhood impact 7-year-olds' subjective well-being. They underline the benefits for children of targeting parental mental health and dysfunctional parenting, and helping parents develop skills to support children at home and school.

Hebbian learning in a model with dynamic rate-coded neurons: an alternative to the generative model approach for learning receptive fields from natural scenes.

PubMed

Hamker, Fred H; Wiltschut, Jan

2007-09-01

Most computational models of coding are based on a generative model according to which the feedback signal aims to reconstruct the visual scene as close as possible. We here explore an alternative model of feedback. It is derived from studies of attention and thus, probably more flexible with respect to attentive processing in higher brain areas. According to this model, feedback implements a gain increase of the feedforward signal. We use a dynamic model with presynaptic inhibition and Hebbian learning to simultaneously learn feedforward and feedback weights. The weights converge to localized, oriented, and bandpass filters similar as the ones found in V1. Due to presynaptic inhibition the model predicts the organization of receptive fields within the feedforward pathway, whereas feedback primarily serves to tune early visual processing according to the needs of the task.

Electronic Learning Systems in Hong Kong Business Organizations: A Study of Early and Late Adopters

ERIC Educational Resources Information Center

Chan, Simon C. H.; Ngai, Eric W. T.

2012-01-01

Based on the diffusion of innovation theory (E. M. Rogers, 1983, 1995), the authors examined the antecedents of the adoption of electronic learning (e-learning) systems by using a time-based assessment model (R. C. Beatty, J. P. Shim, & M. C. Jones, 2001), which classified adopters into categories upon point in time when adopting e-learning…

Learning to Be: The Modelling of Art and Design Practice in University Art and Design Teaching

ERIC Educational Resources Information Center

Budge, Kylie

2016-01-01

Learning to be an artist or designer is a complex process of becoming. Much of the early phase of "learning to be" occurs during the time emerging artists and designers are students in university art/design programmes, both undergraduate and postgraduate. Recent research reveals that a critical role in assisting students in their…

Toward a Theoretical Model of Text Complexity for the Early Grades: Learning from the Past, Anticipating the Future

ERIC Educational Resources Information Center

Mesmer, Heidi Anne; Cunningham, James W.; Hiebert, Elfrieda H.

2012-01-01

In this conceptual essay, we offer rationales and evidence for critical components of a working model of text complexity for the early grades. In the first three sections of the article, we examine word-level, syntax-level, and discourse-level features of text, posing questions for future research. In the fourth section, we address elements of…

Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models

PubMed Central

Najnin, Shamima; Banerjee, Bonny

2018-01-01

Cross-situational learning and social pragmatic theories are prominent mechanisms for learning word meanings (i.e., word-object pairs). In this paper, the role of reinforcement is investigated for early word-learning by an artificial agent. When exposed to a group of speakers, the agent comes to understand an initial set of vocabulary items belonging to the language used by the group. Both cross-situational learning and social pragmatic theory are taken into account. As social cues, joint attention and prosodic cues in caregiver's speech are considered. During agent-caregiver interaction, the agent selects a word from the caregiver's utterance and learns the relations between that word and the objects in its visual environment. The “novel words to novel objects” language-specific constraint is assumed for computing rewards. The models are learned by maximizing the expected reward using reinforcement learning algorithms [i.e., table-based algorithms: Q-learning, SARSA, SARSA-λ, and neural network-based algorithms: Q-learning for neural network (Q-NN), neural-fitted Q-network (NFQ), and deep Q-network (DQN)]. Neural network-based reinforcement learning models are chosen over table-based models for better generalization and quicker convergence. Simulations are carried out using mother-infant interaction CHILDES dataset for learning word-object pairings. Reinforcement is modeled in two cross-situational learning cases: (1) with joint attention (Attentional models), and (2) with joint attention and prosodic cues (Attentional-prosodic models). Attentional-prosodic models manifest superior performance to Attentional ones for the task of word-learning. The Attentional-prosodic DQN outperforms existing word-learning models for the same task. PMID:29441027

Modeling the Development of Audiovisual Cue Integration in Speech Perception

PubMed Central

Getz, Laura M.; Nordeen, Elke R.; Vrabic, Sarah C.; Toscano, Joseph C.

2017-01-01

Adult speech perception is generally enhanced when information is provided from multiple modalities. In contrast, infants do not appear to benefit from combining auditory and visual speech information early in development. This is true despite the fact that both modalities are important to speech comprehension even at early stages of language acquisition. How then do listeners learn how to process auditory and visual information as part of a unified signal? In the auditory domain, statistical learning processes provide an excellent mechanism for acquiring phonological categories. Is this also true for the more complex problem of acquiring audiovisual correspondences, which require the learner to integrate information from multiple modalities? In this paper, we present simulations using Gaussian mixture models (GMMs) that learn cue weights and combine cues on the basis of their distributional statistics. First, we simulate the developmental process of acquiring phonological categories from auditory and visual cues, asking whether simple statistical learning approaches are sufficient for learning multi-modal representations. Second, we use this time course information to explain audiovisual speech perception in adult perceivers, including cases where auditory and visual input are mismatched. Overall, we find that domain-general statistical learning techniques allow us to model the developmental trajectory of audiovisual cue integration in speech, and in turn, allow us to better understand the mechanisms that give rise to unified percepts based on multiple cues. PMID:28335558

Modeling the Development of Audiovisual Cue Integration in Speech Perception.

PubMed

Getz, Laura M; Nordeen, Elke R; Vrabic, Sarah C; Toscano, Joseph C

2017-03-21

Adult speech perception is generally enhanced when information is provided from multiple modalities. In contrast, infants do not appear to benefit from combining auditory and visual speech information early in development. This is true despite the fact that both modalities are important to speech comprehension even at early stages of language acquisition. How then do listeners learn how to process auditory and visual information as part of a unified signal? In the auditory domain, statistical learning processes provide an excellent mechanism for acquiring phonological categories. Is this also true for the more complex problem of acquiring audiovisual correspondences, which require the learner to integrate information from multiple modalities? In this paper, we present simulations using Gaussian mixture models (GMMs) that learn cue weights and combine cues on the basis of their distributional statistics. First, we simulate the developmental process of acquiring phonological categories from auditory and visual cues, asking whether simple statistical learning approaches are sufficient for learning multi-modal representations. Second, we use this time course information to explain audiovisual speech perception in adult perceivers, including cases where auditory and visual input are mismatched. Overall, we find that domain-general statistical learning techniques allow us to model the developmental trajectory of audiovisual cue integration in speech, and in turn, allow us to better understand the mechanisms that give rise to unified percepts based on multiple cues.

Does Visuomotor Adaptation Proceed in Stages? An Examination of the Learning Model by Chein and Schneider (2012).

PubMed

Simon, Anja; Bock, Otmar

2015-01-01

A new 3-stage model based on neuroimaging evidence is proposed by Chein and Schneider (2012). Each stage is associated with different brain regions, and draws on cognitive abilities: the first stage on creativity, the second on selective attention, and the third on automatic processing. The purpose of the present study was to scrutinize the validity of this model for 1 popular learning paradigm, visuomotor adaptation. Participants completed tests for creativity, selective attention and automated processing before attending in a pointing task with adaptation to a 60° rotation of visual feedback. To examine the relationship between cognitive abilities and motor learning at different times of practice, associations between cognitive and adaptation scores were calculated repeatedly throughout adaptation. The authors found no benefit of high creativity for adaptive performance. High levels of selective attention were positively associated with early adaptation, but hardly with late adaptation and de-adaptation. High levels of automated execution were beneficial for late adaptation, but hardly for early and de-adaptation. From this we conclude that Chein and Schneider's first learning stage is difficult to confirm by research on visuomotor adaptation, and that the other 2 learning stages rather relate to workaround strategies than to actual adaptive recalibration.

The Effect of Concept Attainment Model on Mathematically Critical Thinking Ability of The University Students

NASA Astrophysics Data System (ADS)

Angraini, L. M.; Kartasasmita, B.; Dasari, D.

2017-02-01

This study examined the university students’ mathematically critical thinking ability through Concept Attainment Model learning. The Kolmogorov-Smirnov test, Levene test, t test, ANOVA one and two ways were used to analyse the data. The results of this study showed that (1) there is no difference grade on the student’s mathematical critical thinking ability between experimental group and conventional group as a whole, (2) there is no difference on the students’ mathematical critical thinking ability of experimental classes based on their mathematical early ability (3) there is no interaction between the learning that is used with the students’ mathematical early ability on the students’ mathematical critical thinking ability.

Shifting Views: Exploring the Potential for Technology Integration in Early Childhood Education Programs

ERIC Educational Resources Information Center

Dietze, Beverlie; Kashin, Diane

2013-01-01

Using technology with children in play-based early learning programs creates questions for some within the Early Childhood Education (ECE) community. This paper presents how two faculty who teach in ECE-related degree programs integrated educational technology into their teaching pedagogy as a way to model to their students how it can be used to…

American Early Education Reform: Adaptation Not Adoption from Reggio Emilia, Italy.

ERIC Educational Resources Information Center

Firlik, Russell J.

The Reggio Emilia preschools in Italy have much to offer U.S. early education practitioners. If adapted, based on an understanding of American culture and of how American children learn, four components of the Reggio Emilia model can be useful in American early childhood settings. First, projects based on the interests of children can be used to…

Transition and protective agency of early childhood learning behaviors as portents of later school attendance and adjustment.

PubMed

McDermott, Paul A; Rikoon, Samuel H; Fantuzzo, John W

2016-02-01

This article reports on the study of differential change trajectories for early childhood learning behaviors as they relate to future classroom adjustment and school attendance. A large sample (N=2152) of Head Start children was followed through prekindergarten, kindergarten, and 1st grade. Classroom learning behaviors were assessed twice each year by teachers who observed gradual declines in Competence Motivation and Attentional Persistence as children transitioned through schooling. Cross-classified multilevel growth models revealed distinct transitional pathways for future adjustment versus maladjustment and sporadic versus chronic absenteeism. Generalized multilevel logistic modeling and receiver operating characteristic curve analyses showed that teachers' earliest assessments were substantially predictive of eventual good classroom adjustment and school attendance, with increasing accuracy for prediction of future sociobehavioral adjustment as time progressed. Copyright © 2015 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Language Delays and Child Depressive Symptoms: the Role of Early Stimulation in the Home.

PubMed

Herman, Keith C; Cohen, Daniel; Owens, Sarah; Latimore, Tracey; Reinke, Wendy M; Burrell, Lori; McFarlane, Elizabeth; Duggan, Anne

2016-07-01

The present study investigated the role of early stimulation in the home and child language delays in the emergence of depressive symptoms. Data were from a longitudinal study of at-risk children in Hawaii (n = 587). Low learning stimulation in the home at age 3 and language delays in first grade both significantly increased risk for child depressive symptoms in third grade. Structural equation modeling supported the hypothesized path models from home learning environment at age 3 to depressive symptoms in third grade controlling for a host of correlated constructs (maternal depression, child temperament, and child internalizing symptoms). Total language skills in the first grade mediated the effect of home learning environment on depressive symptoms. The study and findings fit well with a nurturing environment perspective. Implications for understanding the etiology of child depression and for designing interventions and prevention strategies are discussed.

Modellus: Learning Physics with Mathematical Modelling

NASA Astrophysics Data System (ADS)

Teodoro, Vitor

Computers are now a major tool in research and development in almost all scientific and technological fields. Despite recent developments, this is far from true for learning environments in schools and most undergraduate studies. This thesis proposes a framework for designing curricula where computers, and computer modelling in particular, are a major tool for learning. The framework, based on research on learning science and mathematics and on computer user interface, assumes that: 1) learning is an active process of creating meaning from representations; 2) learning takes place in a community of practice where students learn both from their own effort and from external guidance; 3) learning is a process of becoming familiar with concepts, with links between concepts, and with representations; 4) direct manipulation user interfaces allow students to explore concrete-abstract objects such as those of physics and can be used by students with minimal computer knowledge. Physics is the science of constructing models and explanations about the physical world. And mathematical models are an important type of models that are difficult for many students. These difficulties can be rooted in the fact that most students do not have an environment where they can explore functions, differential equations and iterations as primary objects that model physical phenomena--as objects-to-think-with, reifying the formal objects of physics. The framework proposes that students should be introduced to modelling in a very early stage of learning physics and mathematics, two scientific areas that must be taught in very closely related way, as they were developed since Galileo and Newton until the beginning of our century, before the rise of overspecialisation in science. At an early stage, functions are the main type of objects used to model real phenomena, such as motions. At a later stage, rates of change and equations with rates of change play an important role. This type of equations--differential equations--are the most important mathematical objects used for modelling Natural phenomena. In traditional approaches, they are introduced only at advanced level, because it takes a long time for students to be introduced to the fundamental principles of Calculus. With the new proposed approach, rates of change can be introduced also at early stages on learning if teachers stress semi-quantitative reasoning and use adequate computer tools. In this thesis, there is also presented Modellus, a computer tool for modelling and experimentation. This computer tool has a user interface that allows students to start doing meaningful conceptual and empirical experiments without the need to learn new syntax, as is usual with established tools. The different steps in the process of constructing and exploring models can be done with Modellus, both from physical points of view and from mathematical points of view. Modellus activities show how mathematics and physics have a unity that is very difficult to see with traditional approaches. Mathematical models are treated as concrete-abstract objects: concrete in the sense that they can be manipulated directly with a computer and abstract in the sense that they are representations of relations between variables. Data gathered from two case studies, one with secondary school students and another with first year undergraduate students support the main ideas of the thesis. Also data gathered from teachers (from college and secondary schools), mainly through an email structured questionnaire, shows that teachers agree on the potential of modelling in the learning of physics (and mathematics) and of the most important aspects of the proposed framework to integrate modelling as an essential component of the curriculum. Schools, as all institutions, change at a very slow rate. There are a multitude of reasons for this. And traditional curricula, where the emphasis is on rote learning of facts, can only be changed if schools have access to new and powerful views of learning and to new tools, that support meaningful conceptual learning and are as common and easy to use as pencil and paper.

Cultural sensitivity or professional acculturation in early clinical experience?

PubMed

Whitford, David L; Hubail, Amal Redha

2014-11-01

This study aimed to explore the early clinical experience of medical students following the adaptation of an Early Patient Contact curriculum from a European culture in Ireland to an Arab culture in Bahrain. Medical students in Bahrain took part in an Early Patient Contact module modelled on a similar module from a partner medical school in Ireland. We used a qualitative approach employing thematic analysis of 54 student reflective logbooks. Particular attention was placed on reflections of cultural influences of experience in the course. Medical students undergoing this module received reported documented benefits of early clinical experience. However, students in Bahrain were exposed to cultural norms of the local Arab society including gender values, visiting the homes of strangers, language barriers and generous hospitality that led to additional challenges and learning for the medical students in acculturating to norms of the medical profession. Modules intended for curriculum adaptation between two cultures would be best served by a group of "core" learning outcomes with "secondary" outcomes culturally appropriate to each site. Within the context of the Arab culture, early clinical experience has the added benefit of allowing students to learn about both local and professional cultural norms, thereby facilitating integration of these two cultures.

Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats

PubMed Central

Lloyd, Kevin; Becker, Nadine; Jones, Matthew W.; Bogacz, Rafal

2012-01-01

Learning to form appropriate, task-relevant working memory representations is a complex process central to cognition. Gating models frame working memory as a collection of past observations and use reinforcement learning (RL) to solve the problem of when to update these observations. Investigation of how gating models relate to brain and behavior remains, however, at an early stage. The current study sought to explore the ability of simple RL gating models to replicate rule learning behavior in rats. Rats were trained in a maze-based spatial learning task that required animals to make trial-by-trial choices contingent upon their previous experience. Using an abstract version of this task, we tested the ability of two gating algorithms, one based on the Actor-Critic and the other on the State-Action-Reward-State-Action (SARSA) algorithm, to generate behavior consistent with the rats'. Both models produced rule-acquisition behavior consistent with the experimental data, though only the SARSA gating model mirrored faster learning following rule reversal. We also found that both gating models learned multiple strategies in solving the initial task, a property which highlights the multi-agent nature of such models and which is of importance in considering the neural basis of individual differences in behavior. PMID:23115551

How Do Young Deaf Children Learn to Read? A Proposed Model of Deaf Children's Emergent Reading Behaviors. Technical Report No. 329.

ERIC Educational Resources Information Center

Andrews, Jean F.; Mason, Jana M.

Evidence from a nine-month longitudinal study of deaf children's early attempts at learning to read provides the construct for an instructional model that stresses that even though the children may have, at the least, a meager expressive sign language vocabulary, they can be lead successfully through the holophrastic or one-word stage of reading…

The Role of Age of Acquisition on Past Tense Generation in Spanish-English Bilinguals: An fMRI Study

ERIC Educational Resources Information Center

Waldron, Eric J.; Hernandez, Arturo E.

2013-01-01

At its most basic sense, the sensorimotor/emergentist (S/E) model suggests that early second language (L2) learning is preferentially reliant upon sensory and motor processes, while later L2 learning is accomplished by greater reliance on executive abilities. To investigate the S/E model using fMRI, neural correlates of L2 age of acquisition were…

Facilitation and Practice in Verb Acquisition

ERIC Educational Resources Information Center

Keren-Portnoy, Tamar

2006-01-01

This paper presents a model of syntax acquisition, whose main points are as follows: Syntax is acquired in an item-based manner; early learning facilitates subsequent learning--as evidenced by the accelerating rate of new verbs entering a given structure; and mastery of syntactic knowledge is typically achieved through practice--as evidenced by…

Learning Disabilities at Twenty-Five: The Early Adulthood of a Maturing Concept.

ERIC Educational Resources Information Center

Levine, Melvin D.

1989-01-01

The keynote speech identifies six categories of problem areas for children with learning disabilities: (1) synchronization, (2) consistency, (3) methodology, (4) cohesion, (5) saliency determination, and (6) tempo. A model of neurodevelopmental functions and performance elements to guide researchers and practitioners is offered. (DB)

The Role of Assessment in a Prevention Science Framework

ERIC Educational Resources Information Center

Herman, Keith C.; Riley-Tillman, T. Chris; Reinke, Wendy M.

2012-01-01

The articles in this Special Topic issue present a range of assessment models and challenges for improving the identification and early intervention of students in need of additional supports. Although each article targets a unique aspect of student learning (learning behaviors, math skills, reading comprehension, behavioral functioning, and…

Beyond naïve cue combination: salience and social cues in early word learning.

PubMed

Yurovsky, Daniel; Frank, Michael C

2017-03-01

Children learn their earliest words through social interaction, but it is unknown how much they rely on social information. Some theories argue that word learning is fundamentally social from its outset, with even the youngest infants understanding intentions and using them to infer a social partner's target of reference. In contrast, other theories argue that early word learning is largely a perceptual process in which young children map words onto salient objects. One way of unifying these accounts is to model word learning as weighted cue combination, in which children attend to many potential cues to reference, but only gradually learn the correct weight to assign each cue. We tested four predictions of this kind of naïve cue combination account, using an eye-tracking paradigm that combines social word teaching and two-alternative forced-choice testing. None of the predictions were supported. We thus propose an alternative unifying account: children are sensitive to social information early, but their ability to gather and deploy this information is constrained by domain-general cognitive processes. Developmental changes in children's use of social cues emerge not from learning the predictive power of social cues, but from the gradual development of attention, memory, and speed of information processing. © 2015 John Wiley & Sons Ltd.

Beyond Naïve Cue Combination: Salience and Social Cues in Early Word Learning

PubMed Central

Yurovsky, Daniel

2015-01-01

Children learn their earliest words through social interaction, but it is unknown how much they rely on social information. Some theories argue that word learning is fundamentally social from its outset, with even the youngest infants understanding intentions and using them to infer a social partner’s target of reference. In contrast, other theories argue that early word learning is largely a perceptual process in which young children map words onto salient objects. One way of unifying these accounts is to model word learning as weighted cue-combination, in which children attend to many potential cues to reference, but only gradually learn the correct weight to assign each cue. We tested four predictions of this kind of naïve cue-combination account, using an eye-tracking paradigm that combines social word-teaching and two-alternative forced-choice testing. None of the predictions were supported. We thus propose an alternative unifying account: children are sensitive to social information early, but their ability to gather and deploy this information is constrained by domain-general cognitive processes. Developmental changes in children’s use of social cues emerge not from learning the predictive power of social cues, but from the gradual development of attention, memory, and speed of information processing. PMID:26575408

Association of Polar Early Career Scientists: a model for experiential learning in professional development for students and early career researchers

NASA Astrophysics Data System (ADS)

Bradley, A. C.; Hindshaw, R. S.; Fugmann, G.; Mariash, H.

2016-12-01

The Association of Polar Early Career Scientists was established by early career researchers during the 2007-2008 International Polar Year as an organization for early career researchers in the polar and cryospheric sciences. APECS works to promote early career researchers through soft-skills training in both research and outreach activities, through advocating for including early career researchers in all levels of the scientific process and scientific management, and through supporting a world-wide network of researchers in varied fields. APECS is lead by early career researchers; this self-driven model has proved to be an effective means for developing the leadership, management, and communication skills that are essential in the sciences, and has shown to be sustainable even in a community where frequent turn-over is inherent to the members. Since its inception, APECS has reached over 5,500 members in more than 80 countries, and we have placed more than 50 early career researchers on working groups and steering committees with organizations around the world in the last two years alone. The close partnerships that APECS has with national and international organizations exposes members to both academic and alternative career paths, including those at the science-policy interface. This paper describes APECS's approach to experiential learning in professional development and the best practices identified over our nearly ten years as an organization.

Primacy Versus Recency in a Quantitative Model: Activity Is the Critical Distinction

PubMed Central

Greene, Anthony J.; Prepscius, Colin; Levy, William B.

2000-01-01

Behavioral and neurobiological evidence shows that primacy and recency are subserved by memory systems for intermediate- and short-term memory, respectively. A widely accepted explanation of recency is that in short-term memory, new learning overwrites old learning. Primacy is not as well understood, but many hypotheses contend that initial items are better encoded into long-term memory because they have had more opportunity to be rehearsed. A simple, biologically motivated neural network model supports an alternative hypothesis of the distinct processing requirements for primacy and recency given single-trial learning without rehearsal. Simulations of the model exhibit either primacy or recency, but not both simultaneously. The incompatibility of primacy and recency clarifies possible reasons for two neurologically distinct systems. Inhibition, and its control of activity, determines those list items that are acquired and retained. Activity levels that are too low do not provide sufficient connections for learning to occur, while higher activity diminishes capacity. High recurrent inhibition, and progressively diminishing activity, allows acquisition and retention of early items, while later items are never acquired. Conversely, low recurrent inhibition, and the resulting high activity, allows continuous acquisition such that acquisition of later items eventually interferes with the retention of early items. PMID:10706602

Illinois Early Learning Project Tip Sheets: Parenting and Family Life.

ERIC Educational Resources Information Center

2003

The Illinois Early Learning Project (IEL) is funded by the Illinois State Board of Education to provide information resources on early learning and training related to implementing the Illinois Early Learning Standards for parents and for early childhood personnel in all settings. The IEL tip sheets offer suggestions to parents and early childhood…

Illinois Early Learning Project Tip Sheets: Physical Development and Health.

ERIC Educational Resources Information Center

2003

The Illinois Early Learning Project (IEL) is funded by the Illinois State Board of Education to provide information resources on early learning and training related to implementing the Illinois Early Learning Standards for parents and for early childhood personnel in all settings. The IEL tip sheets offer suggestions to parents and early childhood…

Deficits in hippocampal-dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis.

PubMed

Montgomery, Karienn S; Edwards, George; Levites, Yona; Kumar, Ashok; Myers, Catherine E; Gluck, Mark A; Setlow, Barry; Bizon, Jennifer L

2016-04-01

Elevated β-amyloid and impaired synaptic function in hippocampus are among the earliest manifestations of Alzheimer's disease (AD). Most cognitive assessments employed in both humans and animal models, however, are insensitive to this early disease pathology. One critical aspect of hippocampal function is its role in episodic memory, which involves the binding of temporally coincident sensory information (e.g., sights, smells, and sounds) to create a representation of a specific learning epoch. Flexible associations can be formed among these distinct sensory stimuli that enable the "transfer" of new learning across a wide variety of contexts. The current studies employed a mouse analog of an associative "transfer learning" task that has previously been used to identify risk for prodromal AD in humans. The rodent version of the task assesses the transfer of learning about stimulus features relevant to a food reward across a series of compound discrimination problems. The relevant feature that predicts the food reward is unchanged across problems, but an irrelevant feature (i.e., the context) is altered. Experiment 1 demonstrated that C57BL6/J mice with bilateral ibotenic acid lesions of hippocampus were able to discriminate between two stimuli on par with control mice; however, lesioned mice were unable to transfer or apply this learning to new problem configurations. Experiment 2 used the APPswe PS1 mouse model of amyloidosis to show that robust impairments in transfer learning are evident in mice with subtle β-amyloid-induced synaptic deficits in the hippocampus. Finally, Experiment 3 confirmed that the same transfer learning impairments observed in APPswePS1 mice were also evident in the Tg-SwDI mouse, a second model of amyloidosis. Together, these data show that the ability to generalize learned associations to new contexts is disrupted even in the presence of subtle hippocampal dysfunction and suggest that, across species, this aspect of hippocampal-dependent learning may be useful for early identification of AD-like pathology. © 2015 Wiley Periodicals, Inc.

The Importance of Music in Early Childhood.

ERIC Educational Resources Information Center

Levinowitz, Lili M.

1998-01-01

Surveys some of the research in music education that validates the inclusion of music for its own sake in models for early childhood learning. Focuses on topics that include, but are not limited to, child and vocal development, the importance of movement for children, and adult involvement in music education. (CMK)

A Bootstrapping Model of Frequency and Context Effects in Word Learning.

PubMed

Kachergis, George; Yu, Chen; Shiffrin, Richard M

2017-04-01

Prior research has shown that people can learn many nouns (i.e., word-object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing some word-referent pairs to appear more frequently than others, as is true in real-world learning environments. Surprisingly, high-frequency pairs are not always learned better, but can also boost learning of other pairs. Using a recent associative model (Kachergis, Yu, & Shiffrin, 2012), we explain how mixing pairs of different frequencies can bootstrap late learning of the low-frequency pairs based on early learning of higher frequency pairs. We also manipulate contextual diversity, the number of pairs a given pair appears with across training, since it is naturalistically confounded with frequency. The associative model has competing familiarity and uncertainty biases, and their interaction is able to capture the individual and combined effects of frequency and contextual diversity on human learning. Two other recent word-learning models do not account for the behavioral findings. Copyright © 2016 Cognitive Science Society, Inc.

Expanding Opportunities to Learn to Support Inclusive Education through Drama-Enhanced Literacy Practices

ERIC Educational Resources Information Center

Kilinc, Sultan; Farrand, Kathleen; Chapman, Kathryn; Kelley, Michael; Millinger, Jenny; Adams, Korbi

2017-01-01

This study examines how the Early Years Educators at Play (EYEPlay) professional development (PD) programme supported inclusive learning settings for all children, including English language learners and students with disabilities. The EYEPlay PD model is a year-long programme that integrates drama strategies into literacy practices within…

Second Home: A Day in the Life of a Model Early Childhood Program

ERIC Educational Resources Information Center

Bainer, Claire Copenhagen; Hale, Liisa

2007-01-01

Learn how to replicate a thoughtfully designed, developmentally appropriate learning environment--one in which young children are engaged in responsive, nurturing relationships with caregivers and peers. This book offers an intimate account of a typical day in such a setting. Age-specific chapters describe children's interactions with teachers…

Patterns of Reasoning about Ecological Systemic Reasoning for Early Elementary Students

ERIC Educational Resources Information Center

Hokayem, H.

2016-01-01

Systems and system models are recognized as a crosscutting concept in the newly released framework for K-12 science education (NRC [National Research Council], 2012). In previous work, I developed a learning progression for systemic reasoning in ecology at the elementary level. The learning progression captured five levels of students' reasoning…

Rapid eye movement sleep does not seem to unbind memories from their emotional context.

PubMed

Deliens, Gaétane; Neu, Daniel; Peigneux, Philippe

2013-12-01

Sleep unbinds memories from their emotional learning context, protecting them from emotional interference due to a change of mood between learning and recall. According to the 'sleep to forget and sleep to remember' model, emotional unbinding takes place during rapid eye movement sleep. To test this hypothesis, we investigated emotional contextual interference effects after early versus late post-learning sleep periods, in which slow wave and rapid eye movement sleep, respectively, predominate. Participants learned a list of neutral word pairs after induction of a happy or a sad mood, then slept immediately afterwards for 3 h of early or late sleep under polysomnographic recording, in a within-subject counterbalanced design. They slept for 3 h before learning in the late sleep condition. Polysomnographic data confirmed more rapid eye movement sleep in the late than in the early sleep condition. After awakening, half the list was recalled after induction of a similar mood than during the encoding session (non-interference condition), and the other half of the list was recalled after induction of a different mood (interference condition). The results disclosed an emotional interference effect on recall both in the early and late sleep conditions, which does not corroborate the hypothesis of a rapid eye movement sleep-related protection of recent memories from emotional contextual interference. Alternatively, the contextual demodulation process initiated during the first post-learning night might need several consecutive nights of sleep to be achieved. © 2013 European Sleep Research Society.

Deficits in hippocampal-dependent transfer generalization learning accompany synaptic dysfunction in a mouse model of amyloidosis

PubMed Central

Montgomery, Karienn S.; Edwards, George; Levites, Yona; Kumar, Ashok; Myers, Catherine E.; Gluck, Mark A.; Setlow, Barry; Bizon, Jennifer L.

2015-01-01

Elevated β-amyloid and impaired synaptic function in hippocampus are among the earliest manifestations of Alzheimer’s disease (AD). Most cognitive assessments employed in both humans and animal models, however, are insensitive to this early disease pathology. One critical aspect of hippocampal function is its role in episodic memory, which involves the binding of temporally coincident sensory information (e.g., sights, smells, and sounds) to create a representation of a specific learning epoch. Flexible associations can be formed among these distinct sensory stimuli that enable the “transfer” of new learning across a wide variety of contexts. The current studies employed a mouse analog of an associative “transfer learning” task that has previously been used to identify risk for prodromal AD in humans. The rodent version of the task assesses the transfer of learning about stimulus features relevant to a food reward across a series of compound discrimination problems. The relevant feature that predicts the food reward is unchanged across problems, but an irrelevant feature (i.e., the context) is altered. Experiment 1 demonstrated that C57BL6/J mice with bilateral ibotenic acid lesions of hippocampus were able to discriminate between two stimuli on par with control mice; however, lesioned mice were unable to transfer or apply this learning to new problem configurations. Experiment 2 used the APPswePS1 mouse model of amyloidosis to show that robust impairments in transfer learning are evident in mice with subtle β amyloid-induced synaptic deficits in the hippocampus. Finally, Experiment 3 confirmed that the same transfer learning impairments observed in APPswePS1 mice were also evident in the Tg-SwDI mouse, a second model of amyloidosis. Together, these data show that the ability to generalize learned associations to new contexts is disrupted even in the presence of subtle hippocampal dysfunction and suggest that, across species, this aspect of hippocampal-dependent learning may be useful for early identification of AD-like pathology. PMID:26418152

The Renaissance. Grade 7 Model Lesson for Standard 7.8. World History and Geography: Medieval and Early Modern Times. California History-Social Science Course Models.

ERIC Educational Resources Information Center

Zachlod, Michelle, Ed.

California State Standard 7.8 is delineated in the following manner: "Students analyze the origins, accomplishments, and diffusion of the Renaissance," in terms of the way in which the revival of classical learning and the arts affected a new interest in humanism; the importance of Florence in the early stages of the Renaissance and the…

Functional asymmetries in early learning during right, left, and bimanual performance in right-handed subjects.

PubMed

Aznárez-Sanado, Maite; Fernández-Seara, Maria A; Loayza, Francis R; Pastor, Maria A

2013-03-01

To elucidate differences in activity and connectivity during early learning due to the performing hand. Twenty right-handed subjects were recruited. The neural correlates of explicit visuospatial learning executed with the right, the left hand, and bimanually were investigated using functional magnetic resonance imaging. Connectivity analyses were carried out using the psychophysiological interactions model, considering right and left anterior putamen as index regions. A common neural network was found for the three tasks during learning. Main activity increases were located in posterior cingulate cortex, supplementary motor area, parietal cortex, anterior putamen, and cerebellum (IV-V), whereas activity decrements were observed in prefrontal regions. However, the left hand task showed a greater recruitment of left hippocampal areas when compared with the other tasks. In addition, enhanced connectivity between the right anterior putamen and motor cortical and cerebellar regions was found for the left hand when compared with the right hand task. An additional recruitment of brain regions and increased striato-cortical and striato-cerebellar functional connections is needed when early learning is performed with the nondominant hand. In addition, access to brain resources during learning may be directed by the dominant hand in the bimanual task. Copyright © 2012 Wiley Periodicals, Inc.

Supporting Learning to Teach in Early Field Experiences: The UTE Model

ERIC Educational Resources Information Center

Bieda, Kristen N.; Dillman, Brittany; Gundlach, Michael; Voogt, Kevin

2017-01-01

Most teacher preparation programs require prospective teachers (PTs) to engage in early field experiences (EFEs) prior to completing required coursework. These EFEs, however, may lack meaningful connections to course content and provide limited opportunities to experience the demands of classroom teaching. In this paper, we share evidence from the…

Pre-Primary Education: Needs, Alternatives and Costs, 1971-1980.

ERIC Educational Resources Information Center

Colmen, Joseph G.; Sandoval, Corazon

The rationale for a national investment in early childhood learning, the needs to be met, and the costs are discussed. A number of current program models, diagnostic service centers, programs for parent education, and preparent programs at the secondary and college levels are described. Research studies and findings about different early childhood…

Building on Living Traditions: Early Childhood Education and Culture in Solomon Islands

ERIC Educational Resources Information Center

Burton, Lindsay J.

2012-01-01

The Solomon Islands, a small developing nation in the South Pacific, demonstrates an emerging community-based kindergarten model with the potential to promote context and culture relevant early learning and development, despite deeply embedded foundations in colonial legacies. Based on the Kahua region of Makira-Ulawa Province, this collaborative,…

Professional Development in Teaching and Learning for Early Career Academic Geographers: Contexts, Practices and Tensions

ERIC Educational Resources Information Center

Vajoczki, Susan; Biegas, Tamara C.; Crenshaw, Melody; Healey, Ruth L.; Osayomi, Tolulope; Bradford, Michael; Monk, Janice

2011-01-01

This paper provides a review of the practices and tensions informing approaches to professional development for early career academic geographers who are teaching in higher education. We offer examples from Britain, Canada, Nigeria and the USA. The tensions include: institutional and departmental cultures; models that offer generic and…

The Impact of Pictorial Display on Operator Learning and Performance. M.S. Thesis

NASA Technical Reports Server (NTRS)

Miller, R. A.; Messing, L. J.; Jagacinski, R. J.

1984-01-01

The effects of pictorially displayed information on human learning and performance of a simple control task were investigated. The controlled system was a harmonic oscillator and the system response was displayed to subjects as either an animated pendulum or a horizontally moving dot. Results indicated that the pendulum display did not effect performance scores but did significantly effect the learning processes of individual operators. The subjects with the pendulum display demonstrated more vertical internal models early in the experiment and the manner in which their internal models were tuned with practice showed increased variability between subjects.

Neural Correlates of Motor Learning, Transfer of Learning, and Learning to Learn

PubMed Central

Seidler, Rachael D.

2009-01-01

Recent studies on the neural bases of sensorimotor adaptation demonstrate that the cerebellar and striatal thalamocortical pathways contribute to early learning. Transfer of learning involves a reduction in the contribution of early learning networks, and increased reliance on the cerebellum. The neural correlates of learning to learn remain to be determined, but likely involve enhanced functioning of general aspects of early learning. PMID:20016293

Machine learning models in breast cancer survival prediction.

PubMed

Montazeri, Mitra; Montazeri, Mohadeseh; Montazeri, Mahdieh; Beigzadeh, Amin

2016-01-01

Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary for the early diagnosis of this cancer. The proposed model is the combination of rules and different machine learning techniques. Machine learning models can help physicians to reduce the number of false decisions. They try to exploit patterns and relationships among a large number of cases and predict the outcome of a disease using historical cases stored in datasets. The objective of this study is to propose a rule-based classification method with machine learning techniques for the prediction of different types of Breast cancer survival. We use a dataset with eight attributes that include the records of 900 patients in which 876 patients (97.3%) and 24 (2.7%) patients were females and males respectively. Naive Bayes (NB), Trees Random Forest (TRF), 1-Nearest Neighbor (1NN), AdaBoost (AD), Support Vector Machine (SVM), RBF Network (RBFN), and Multilayer Perceptron (MLP) machine learning techniques with 10-cross fold technique were used with the proposed model for the prediction of breast cancer survival. The performance of machine learning techniques were evaluated with accuracy, precision, sensitivity, specificity, and area under ROC curve. Out of 900 patients, 803 patients and 97 patients were alive and dead, respectively. In this study, Trees Random Forest (TRF) technique showed better results in comparison to other techniques (NB, 1NN, AD, SVM and RBFN, MLP). The accuracy, sensitivity and the area under ROC curve of TRF are 96%, 96%, 93%, respectively. However, 1NN machine learning technique provided poor performance (accuracy 91%, sensitivity 91% and area under ROC curve 78%). This study demonstrates that Trees Random Forest model (TRF) which is a rule-based classification model was the best model with the highest level of accuracy. Therefore, this model is recommended as a useful tool for breast cancer survival prediction as well as medical decision making.

Strategies, Systems and Services: A Northern Ireland Early Years Policy Perspective

ERIC Educational Resources Information Center

McMillan, Dorothy J.; McConnell, Barbara

2015-01-01

Following a lengthy consultation process across Northern Ireland (NI), 2013 saw the publication of Learning to Learn: A Framework for Early Years Education and Learning [DE (Department of Education). 2013. "Learning to Learn: A Framework for Early Years Education and Learning." Accessed July 15, 2014.…

Potentiation in young infants: The origin of the prior knowledge effect?

PubMed Central

Barr, Rachel; Rovee-Collier, Carolyn; Learmonth, Amy

2011-01-01

In two experiments with 6-month-old infants, we found that prior learning of an operant task (remembered for 2 weeks) mediated new learning of a modeling event (remembered for only 1 day) and increased its recall. Infants first learned to associate lever pressing with moving a toy train housed in a large box. One or 2 weeks later, three target actions were modeled on a hand puppet while the train box (a retrieval cue) was in view. Merely retrieving the train memory strengthened it, and simultaneously pairing its retrieved memory with the modeled actions potentiated their learning and recall. When paired 1 week later, deferred imitation increased from 1 day to 4 weeks; when paired 2 weeks later, it increased from 1 day to 6 weeks. The striking parallels between potentiated learning in infants and the prior knowledge effect in adults suggests that the prior knowledge effect originates in early infancy. PMID:21264602

Promoting healthy food preferences from the start: a narrative review of food preference learning from the prenatal period through early childhood.

PubMed

Anzman-Frasca, S; Ventura, A K; Ehrenberg, S; Myers, K P

2018-04-01

The palatable, energy-dense foods that characterize modern environments can promote unhealthy eating habits, along with humans' predispositions to accept sweet tastes and reject those that are sour or bitter. Yet food preferences are malleable, and examining food preference learning during early life can highlight ways to promote acceptance of healthier foods. This narrative review describes research from the past 10 years focused on food preference learning from the prenatal period through early childhood (ages 2-5 years). Exposure to a variety of healthy foods from the start, including during the prenatal period, early milk-feeding and the introduction to complementary foods and beverages, can support subsequent acceptance of those foods. Yet development is plastic, and healthier food preferences can still be promoted after infancy. In early childhood, research supports starting with the simplest strategies, such as repeated exposure and modelling, reserving other strategies for use when needed to motivate the initial tasting necessary for repeated exposure effects to begin. This review can help caregivers and practitioners to promote the development of healthy food preferences early in life. Specific implementation recommendations, the role of individual differences and next steps for research in this area are also discussed. © 2017 World Obesity Federation.

Accounting Early for Life Long Learning: The AcE Project.

ERIC Educational Resources Information Center

University Coll. Worcester (England). Centre for Research in Early Childhood Education.

Building upon the work of the Effective Early Learning (EEL) Project in raising the quality of early learning for young children in the United Kingdom, the 3-year Accounting Early for Life Long Learning Project (AcE Project) focuses on enhancing in 3- to 6-year-olds those attitudes and dispositions that are important to life-long learning. This…

Response to Intervention and the Pyramid Model

ERIC Educational Resources Information Center

Fox, Lise; Carta, Judith; Strain, Phil; Dunlap, Glen; Hemmeter, Mary Louise

2009-01-01

Response to Intervention (RtI) offers a comprehensive model for the prevention of delays in learning and behavior. While this problem-solving framework was initially designed for application within Kindergarten to 12th grade programs, there is substantial research that supports the value of the model for application within early childhood…

Modeling the Distinct Phases of Skill Acquisition

ERIC Educational Resources Information Center

Tenison, Caitlin; Anderson, John R.

2016-01-01

A focus of early mathematics education is to build fluency through practice. Several models of skill acquisition have sought to explain the increase in fluency because of practice by modeling both the learning mechanisms driving this speedup and the changes in cognitive processes involved in executing the skill (such as transitioning from…

Partial dopaminergic denervation-induced impairment in stimulus discrimination acquisition in parkinsonian rats: a model for early Parkinson's disease.

PubMed

Eagle, Andrew L; Olumolade, Oluyemi O; Otani, Hajime

2015-03-01

Parkinson's disease (PD) produces progressive nigrostriatal dopamine (DA) denervation resulting in cognitive and motor impairment. However, it is unknown whether cognitive impairments, such as instrumental learning deficits, are associated with the early stage PD-induced mild DA denervation. The current study sought to model early PD-induced instrumental learning impairments by assessing the effects of low dose (5.5μg), bilateral 6OHDA-induced striatal DA denervation on acquisition of instrumental stimulus discrimination in rats. 6OHDA (n=20) or sham (n=10) lesioned rats were tested for stimulus discrimination acquisition either 1 or 2 weeks post surgical lesion. Stimulus discrimination acquisition across 10 daily sessions was used to assess discriminative accuracy, or a probability measure of the shift toward reinforced responding under one stimulus condition (Sd) away from extinction, when reinforcement was withheld, under another (S(d) phase). Striatal DA denervation was assayed by tyrosine hydroxylase (TH) staining intensity. Results indicated that 6OHDA lesions produced significant loss of dorsal striatal TH staining intensity and marked impairment in discrimination acquisition, without inducing akinetic motor deficits. Rather 6OHDA-induced impairment was associated with perseveration during extinction (S(Δ) phase). These findings suggest that partial, bilateral striatal DA denervation produces instrumental learning deficits, prior to the onset of gross motor impairment, and suggest that the current model is useful for investigating mild nigrostriatal DA denervation associated with early stage clinical PD. Copyright © 2014 Elsevier Ireland Ltd and the Japan Neuroscience Society. All rights reserved.

Learned helplessness and social avoidance in the Wistar-Kyoto rat

PubMed Central

Nam, Hyungwoo; Clinton, Sarah M.; Jackson, Nateka L.; Kerman, Ilan A.

2014-01-01

The Wistar-Kyoto (WKY) rat is an established depression model characterized by elevated anxiety- and depression-like behavior across a variety of tests. Here we further characterized specific behavioral and functional domains relevant to depression that are altered in WKY rats. Moreover, since early-life experience potently shapes emotional behavior, we also determined whether aspects of WKYs' phenotype were modifiable by early-life factors using neonatal handling or maternal separation. We first compared WKYs' behavior to that of Sprague–Dawley (SD), Wistar, and Spontaneously Hypertensive (SHR) rats in: the open field test, elevated plus maze, novelty-suppressed feeding test, a social interaction test, and the forced swim test (FST). WKYs exhibited high baseline immobility in the FST and were the only strain to show increased immobility on FST Day 2 vs. Day 1 (an indicator of learned helplessness). WKYs also showed greater social avoidance, along with enlarged adrenal glands and hearts relative to other strains. We next tested whether neonatal handling or early-life maternal separation stress influenced WKYs' behavior. Neither manipulation affected their anxiety- and depressive-like behaviors, likely due to a strong genetic underpinning of their phenotype. Our findings indicate that WKY rats are a useful model that captures specific functional domains relevant to clinical depression including: psychomotor retardation, behavioral inhibition, learned helplessness, social withdrawal, and physiological dysfunction. WKY rats appear to be resistant to early-life manipulations (i.e., neonatal handling) that are therapeutic in other strains, and may be a useful model for the development of personalized anti-depressant therapies for treatment resistant depression. PMID:24744709

Learned helplessness and social avoidance in the Wistar-Kyoto rat.

PubMed

Nam, Hyungwoo; Clinton, Sarah M; Jackson, Nateka L; Kerman, Ilan A

2014-01-01

The Wistar-Kyoto (WKY) rat is an established depression model characterized by elevated anxiety- and depression-like behavior across a variety of tests. Here we further characterized specific behavioral and functional domains relevant to depression that are altered in WKY rats. Moreover, since early-life experience potently shapes emotional behavior, we also determined whether aspects of WKYs' phenotype were modifiable by early-life factors using neonatal handling or maternal separation. We first compared WKYs' behavior to that of Sprague-Dawley (SD), Wistar, and Spontaneously Hypertensive (SHR) rats in: the open field test, elevated plus maze, novelty-suppressed feeding test, a social interaction test, and the forced swim test (FST). WKYs exhibited high baseline immobility in the FST and were the only strain to show increased immobility on FST Day 2 vs. Day 1 (an indicator of learned helplessness). WKYs also showed greater social avoidance, along with enlarged adrenal glands and hearts relative to other strains. We next tested whether neonatal handling or early-life maternal separation stress influenced WKYs' behavior. Neither manipulation affected their anxiety- and depressive-like behaviors, likely due to a strong genetic underpinning of their phenotype. Our findings indicate that WKY rats are a useful model that captures specific functional domains relevant to clinical depression including: psychomotor retardation, behavioral inhibition, learned helplessness, social withdrawal, and physiological dysfunction. WKY rats appear to be resistant to early-life manipulations (i.e., neonatal handling) that are therapeutic in other strains, and may be a useful model for the development of personalized anti-depressant therapies for treatment resistant depression.

All Rigor and No Play Is No Way to Improve Learning

ERIC Educational Resources Information Center

Wohlwend, Karen; Peppler, Kylie

2015-01-01

The authors propose and discuss their Playshop curricular model, which they developed with teachers. Their studies suggest a playful approach supports even more rigor than the Common Core State Standards require for preschool and early grade children. Children keep their attention longer when learning comes in the form of something they can play…

A Sense of Balance: District Aligns Personalized Learning with School and System Goals

ERIC Educational Resources Information Center

Donsky, Debbie; Witherow, Kathy

2015-01-01

This article addresses the challenge of personalizing learning while also ensuring alignment with system and school improvement plans. Leaders of the York Region District School Board in Ontario knew that what took their high-performing school district from good to great would not take it from great to excellent. The district's early model of…

What has been learned from mouse models of the Fragile X Premutation and Fragile X-associated tremor/ataxia syndrome?

PubMed

Foote, Molly M; Careaga, Milo; Berman, Robert F

2016-08-01

To describe in this review how research using mouse models developed to study the Fragile X premutation (PM) and Fragile X-associated tremor/ataxia syndrome (FXTAS) have contributed to understanding these disorders. PM carriers bear an expanded CGG trinucleotide repeat on the Fragile X Mental Retardation 1 (FMR1) gene, and are at risk for developing the late onset neurodegenerative disorder FXTAS. Much has been learned about these genetic disorders from the development and study of mouse models. This includes new insights into the early cellular and molecular events that occur in PM carriers and in FXTAS, the presence of multiorgan pathology beyond the CNS, immunological dysregulation, unexpected synthesis of a potentially toxic peptide in FXTAS (i.e., FMRpolyG), and evidence that the disease process may be halted or reversed by appropriate molecular therapies given early in the course of disease.

Early brain connectivity alterations and cognitive impairment in a rat model of Alzheimer's disease.

PubMed

Muñoz-Moreno, Emma; Tudela, Raúl; López-Gil, Xavier; Soria, Guadalupe

2018-02-07

Animal models of Alzheimer's disease (AD) are essential to understanding the disease progression and to development of early biomarkers. Because AD has been described as a disconnection syndrome, magnetic resonance imaging (MRI)-based connectomics provides a highly translational approach to characterizing the disruption in connectivity associated with the disease. In this study, a transgenic rat model of AD (TgF344-AD) was analyzed to describe both cognitive performance and brain connectivity at an early stage (5 months of age) before a significant concentration of β-amyloid plaques is present. Cognitive abilities were assessed by a delayed nonmatch-to-sample (DNMS) task preceded by a training phase where the animals learned the task. The number of training sessions required to achieve a learning criterion was recorded and evaluated. After DNMS, MRI acquisition was performed, including diffusion-weighted MRI and resting-state functional MRI, which were processed to obtain the structural and functional connectomes, respectively. Global and regional graph metrics were computed to evaluate network organization in both transgenic and control rats. The results pointed to a delay in learning the working memory-related task in the AD rats, which also completed a lower number of trials in the DNMS task. Regarding connectivity properties, less efficient organization of the structural brain networks of the transgenic rats with respect to controls was observed. Specific regional differences in connectivity were identified in both structural and functional networks. In addition, a strong correlation was observed between cognitive performance and brain networks, including whole-brain structural connectivity as well as functional and structural network metrics of regions related to memory and reward processes. In this study, connectivity and neurocognitive impairments were identified in TgF344-AD rats at a very early stage of the disease when most of the pathological hallmarks have not yet been detected. Structural and functional network metrics of regions related to reward, memory, and sensory performance were strongly correlated with the cognitive outcome. The use of animal models is essential for the early identification of these alterations and can contribute to the development of early biomarkers of the disease based on MRI connectomics.

Preliminary development of POEAW in enhancing K-11 students’ understanding level on impulse and momentum

NASA Astrophysics Data System (ADS)

Luthfiani, T. A.; Sinaga, P.; Samsudin, A.

2018-05-01

We have been analyzed that there were limited research about Predict-Observe- Explain which use writing process with conceptual change text strategy. This study aims to develop a learning model namely Predict-Observe-Explain-Apply-Writing (POEAW) which is able to enhance students’ understanding level. The research method utilized the 4D model (Defining, Designing, Developing and Disseminating) that is formally limited to Developing Stage. There are four experts who judge the learning component (syntax, lesson plan, teaching material and student worksheet) and matter component (learning quality and content component). The result of this study are obtained expert validity test score average of 87% for learning content and 89% for matter component that means the POEAW is valid and can be tested in classroom learning. This research producing POEAW learning model that has five main steps, Predict, Observe, Explain, Apply and Write. To sum up, we have early developed POEAW in enhancing K-11 students’ understanding levels on impulse and momentum.

Early Formulation Model-centric Engineering on Nasa's Europa Mission Concept Study

NASA Technical Reports Server (NTRS)

Bayer, Todd; Chung, Seung; Cole, Bjorn; Cooke, Brian; Dekens, Frank; Delp, Chris; Gontijo, I.; Lewis, Kari; Moshir, Mehrdad; Rasmussen, Robert;

Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis.

PubMed

Wang, Zi; Wang, Dali; Li, Chengcheng; Xu, Yichi; Li, Husheng; Bao, Zhirong

2018-04-25

Cell movement in the early phase of C. elegans development is regulated by a highly complex process in which a set of rules and connections are formulated at distinct scales. Previous efforts have demonstrated that agent-based, multi-scale modeling systems can integrate physical and biological rules and provide new avenues to study developmental systems. However, the application of these systems to model cell movement is still challenging and requires a comprehensive understanding of regulatory networks at the right scales. Recent developments in deep learning and reinforcement learning provide an unprecedented opportunity to explore cell movement using 3D time-lapse microscopy images. We present a deep reinforcement learning approach within an agent-based modeling system to characterize cell movement in the embryonic development of C. elegans. Our modeling system captures the complexity of cell movement patterns in the embryo and overcomes the local optimization problem encountered by traditional rule-based, agent-based modeling that uses greedy algorithms. We tested our model with two real developmental processes: the anterior movement of the Cpaaa cell via intercalation and the rearrangement of the superficial left-right asymmetry. In the first case, the model results suggested that Cpaaa's intercalation is an active directional cell movement caused by the continuous effects from a longer distance (farther than the length of two adjacent cells), as opposed to a passive movement caused by neighbor cell movements. In the second case, a leader-follower mechanism well explained the collective cell movement pattern in the asymmetry rearrangement. These results showed that our approach to introduce deep reinforcement learning into agent-based modeling can test regulatory mechanisms by exploring cell migration paths in a reverse engineering perspective. This model opens new doors to explore the large datasets generated by live imaging. Source code is available at https://github.com/zwang84/drl4cellmovement. dwang7@utk.edu, baoz@mskcc.org. Supplementary data are available at Bioinformatics online.

Worksheet: Federal Funding and Other Funding Sources for Early Childhood. State TA Resources

ERIC Educational Resources Information Center

Early Learning Challenge Technical Assistance, 2017

2017-01-01

This tool was prepared for the Early Learning Challenge (ELC) States that attended the Peer Learning Exchange, "Financing and Sustaining Quality Programs and Systems," in October 2017. This Peer Learning Exchange was a collaborative effort by Early Learning Challenge Technical Assistance (ELC TA,) Center on Enhancing Early Learning…

"Build Me a Male Role Model!" A Critical Exploration of the Perceived Qualities/Characteristics of Men in the Early Years (0-8) in England

ERIC Educational Resources Information Center

Brownhill, Simon

2014-01-01

Young boys' "underachievement" and their disaffection with learning continue to dominate education agendas [Francis, B. 2006. "Stop That Sex Drive." "Times Educational Supplement" 30; Peeters, J. 2007. "Including Men in Early Childhood Education: Insights from the European Experience." "NZ Research in…

Learning "with" Immigrant Children, Families and Communities: The Imperative of Early Childhood Teacher Education

ERIC Educational Resources Information Center

da Silva Iddings, Ana Christina; Reyes, Iliana

2017-01-01

This article reports on a longitudinal study spanning over 5 years, involving the design and implementation of an early childhood teacher education program model that engages a critical-ecological theoretical approach, a funds of knowledge perspective, and design-based methodology. This project aimed to promote equitable education for all…

Conceptual Play and Science Inquiry: Using the 5E Instructional Model

ERIC Educational Resources Information Center

Desouza, Josephine M. Shireen

2017-01-01

Play has been synonymous with early childhood education and is an important aspect of child development. Researchers have characterized and defined play from different perspectives. If play is an integral part of the early years what is its relationship to learning? This paper describes the development of conceptual play by using the pedagogy of…

Rasch Model Analysis on the Effectiveness of Early Evaluation Questions as a Benchmark for New Students Ability

ERIC Educational Resources Information Center

Arsad, Norhana; Kamal, Noorfazila; Ayob, Afida; Sarbani, Nizaroyani; Tsuey, Chong Sheau; Misran, Norbahiah; Husain, Hafizah

2013-01-01

This paper discusses the effectiveness of the early evaluation questions conducted to determine the academic ability of the new students in the Department of Electrical, Electronics and Systems Engineering. Questions designed are knowledge based--on what the students have learned during their pre-university level. The results show students have…

"Little Pig, Little Pig, Yet Me Come In!" Animating "The Three Little Pigs" with Preschoolers

ERIC Educational Resources Information Center

Rhoades, Mindi

2016-01-01

Early childhood education, particularly through the influence of the Reggio Emilia model, traditionally has a strong affinity for arts-based, inquiry-based, interdisciplinary pedagogy. However, in the US, as standardized testing and curricula creep into early childhood classrooms, they marginalize arts-based learning and the kinds of playful,…

Confidence and psychosis: a neuro-computational account of contingency learning disruption by NMDA blockade

PubMed Central

Vinckier, F; Gaillard, R; Palminteri, S; Rigoux, L; Salvador, A; Fornito, A; Adapa, R; Krebs, M O; Pessiglione, M; Fletcher, P C

2016-01-01

A state of pathological uncertainty about environmental regularities might represent a key step in the pathway to psychotic illness. Early psychosis can be investigated in healthy volunteers under ketamine, an NMDA receptor antagonist. Here, we explored the effects of ketamine on contingency learning using a placebo-controlled, double-blind, crossover design. During functional magnetic resonance imaging, participants performed an instrumental learning task, in which cue-outcome contingencies were probabilistic and reversed between blocks. Bayesian model comparison indicated that in such an unstable environment, reinforcement learning parameters are downregulated depending on confidence level, an adaptive mechanism that was specifically disrupted by ketamine administration. Drug effects were underpinned by altered neural activity in a fronto-parietal network, which reflected the confidence-based shift to exploitation of learned contingencies. Our findings suggest that an early characteristic of psychosis lies in a persistent doubt that undermines the stabilization of behavioral policy resulting in a failure to exploit regularities in the environment. PMID:26055423

Confidence and psychosis: a neuro-computational account of contingency learning disruption by NMDA blockade.

PubMed

Vinckier, F; Gaillard, R; Palminteri, S; Rigoux, L; Salvador, A; Fornito, A; Adapa, R; Krebs, M O; Pessiglione, M; Fletcher, P C

2016-07-01

A state of pathological uncertainty about environmental regularities might represent a key step in the pathway to psychotic illness. Early psychosis can be investigated in healthy volunteers under ketamine, an NMDA receptor antagonist. Here, we explored the effects of ketamine on contingency learning using a placebo-controlled, double-blind, crossover design. During functional magnetic resonance imaging, participants performed an instrumental learning task, in which cue-outcome contingencies were probabilistic and reversed between blocks. Bayesian model comparison indicated that in such an unstable environment, reinforcement learning parameters are downregulated depending on confidence level, an adaptive mechanism that was specifically disrupted by ketamine administration. Drug effects were underpinned by altered neural activity in a fronto-parietal network, which reflected the confidence-based shift to exploitation of learned contingencies. Our findings suggest that an early characteristic of psychosis lies in a persistent doubt that undermines the stabilization of behavioral policy resulting in a failure to exploit regularities in the environment.

Early Learning Canada: Workshop Leader Guide [and] Participant Resource [and] Trainer Manual. Learning & Reading Partners Adult Learning System.

ERIC Educational Resources Information Center

Estey, Nancy; MacIsaac, Maitland; Rendell, Sandra

Based on the understanding that the capacity to learn is optimized in the early years, Early Learning Canada (ELC) is a community workshop program for parents and adults who work with children from birth to age 6 and their families to facilitate life-long learning. This workshop leader guide explains the ELC principles, examines learning styles…

Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry.

PubMed

Nait Aicha, Ahmed; Englebienne, Gwenn; van Schooten, Kimberley S; Pijnappels, Mirjam; Kröse, Ben

2018-05-22

Early detection of high fall risk is an essential component of fall prevention in older adults. Wearable sensors can provide valuable insight into daily-life activities; biomechanical features extracted from such inertial data have been shown to be of added value for the assessment of fall risk. Body-worn sensors such as accelerometers can provide valuable insight into fall risk. Currently, biomechanical features derived from accelerometer data are used for the assessment of fall risk. Here, we studied whether deep learning methods from machine learning are suited to automatically derive features from raw accelerometer data that assess fall risk. We used an existing dataset of 296 older adults. We compared the performance of three deep learning model architectures (convolutional neural network (CNN), long short-term memory (LSTM) and a combination of these two (ConvLSTM)) to each other and to a baseline model with biomechanical features on the same dataset. The results show that the deep learning models in a single-task learning mode are strong in recognition of identity of the subject, but that these models only slightly outperform the baseline method on fall risk assessment. When using multi-task learning, with gender and age as auxiliary tasks, deep learning models perform better. We also found that preprocessing of the data resulted in the best performance (AUC = 0.75). We conclude that deep learning models, and in particular multi-task learning, effectively assess fall risk on the basis of wearable sensor data.

Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry

PubMed Central

Englebienne, Gwenn; Pijnappels, Mirjam

2018-01-01

Early detection of high fall risk is an essential component of fall prevention in older adults. Wearable sensors can provide valuable insight into daily-life activities; biomechanical features extracted from such inertial data have been shown to be of added value for the assessment of fall risk. Body-worn sensors such as accelerometers can provide valuable insight into fall risk. Currently, biomechanical features derived from accelerometer data are used for the assessment of fall risk. Here, we studied whether deep learning methods from machine learning are suited to automatically derive features from raw accelerometer data that assess fall risk. We used an existing dataset of 296 older adults. We compared the performance of three deep learning model architectures (convolutional neural network (CNN), long short-term memory (LSTM) and a combination of these two (ConvLSTM)) to each other and to a baseline model with biomechanical features on the same dataset. The results show that the deep learning models in a single-task learning mode are strong in recognition of identity of the subject, but that these models only slightly outperform the baseline method on fall risk assessment. When using multi-task learning, with gender and age as auxiliary tasks, deep learning models perform better. We also found that preprocessing of the data resulted in the best performance (AUC = 0.75). We conclude that deep learning models, and in particular multi-task learning, effectively assess fall risk on the basis of wearable sensor data. PMID:29786659

Dissemination of evidence-based practice: can we train therapists from a distance?

PubMed

Vismara, Laurie A; Young, Gregory S; Stahmer, Aubyn C; Griffith, Elizabeth McMahon; Rogers, Sally J

2009-12-01

Although knowledge about the efficacy of behavioral interventions for children with ASD is increasing, studies of effectiveness and transportability to community settings are needed. The current study conducted an effectiveness trial to compare distance learning vs. live instruction for training community-based therapists to implement the Early Start Denver Model. Findings revealed: (a) distance learning and live instruction were equally effective for teaching therapists to both implement the model and to train parents; (b) didactic workshops and team supervision were required to improve therapists' skill use; (c) significant child gains occurred over time and across teaching modalities; and (d) parents implemented the model more skillfully after coaching. Implications are discussed in relation to the economic and clinical utility of distance learning.

Learning invariance from natural images inspired by observations in the primary visual cortex.

PubMed

Teichmann, Michael; Wiltschut, Jan; Hamker, Fred

2012-05-01

The human visual system has the remarkable ability to largely recognize objects invariant of their position, rotation, and scale. A good interpretation of neurobiological findings involves a computational model that simulates signal processing of the visual cortex. In part, this is likely achieved step by step from early to late areas of visual perception. While several algorithms have been proposed for learning feature detectors, only few studies at hand cover the issue of biologically plausible learning of such invariance. In this study, a set of Hebbian learning rules based on calcium dynamics and homeostatic regulations of single neurons is proposed. Their performance is verified within a simple model of the primary visual cortex to learn so-called complex cells, based on a sequence of static images. As a result, the learned complex-cell responses are largely invariant to phase and position.

Nurturing the Aesthetic: Learning to Care for the Environment in a Waldorf School

ERIC Educational Resources Information Center

Grella, Melissa A.

2015-01-01

The purpose of the study was to explore the aesthetic foundation of the Waldorf pedagogy in order to understand how art and aesthetic experiences may develop care toward the environment. A form of humanistic education developed by Rudolf Steiner in the early twentieth century, Waldorf education is a learning model envisioned as a framework for…

Toward a New Framework of "Server" and "Served": De(and Re)constructing Reciprocity in Service-Learning Pedagogy

ERIC Educational Resources Information Center

Henry, Sue Ellen; Breyfogle, M. Lynn

2006-01-01

This article problemetizes the contemporary view of reciprocity and offers a philosophical foundation for an enriched view based on Dewey's critique of early stimulus-response theory in psychology and his view of democracy. We situate the argument for reconsidering the provider/recipient model of service learning in the context of a collaboration…

How Preschoolers' Social-Emotional Learning Predicts Their Early School Success: Developing Theory-Promoting, Competency-Based Assessments

ERIC Educational Resources Information Center

Denham, Susanne A.; Bassett, Hideko H.; Zinsser, Katherine; Wyatt, Todd M.

2014-01-01

Starting on positive trajectories at school entry is important for children's later academic success. Using partial least squares, we sought to specify interrelations among all theory-based components of social-emotional learning (SEL), and their ability to predict later classroom adjustment and academic readiness in a modelling context.…

A Systematic Review of Research on the Use of Problem-Based Learning in the Preparation and Development of School Leaders

ERIC Educational Resources Information Center

Hallinger, Philip; Bridges, Edwin M.

2017-01-01

Problem: Problem-based learning (PBL) was introduced into the parlance of educational leadership and management almost 30 years ago. During the ensuing decades, a global community of professors, doctoral students, and curriculum designers has built upon early models with the goal of increasing the impact of school leadership preparation. This…

Response to Intervention and the Identification of Specific Learning Disabilities: Why We Need Comprehensive Evaluations as Part of the Process

ERIC Educational Resources Information Center

Ofiesh, Nicole

2006-01-01

The purpose of this article is to underscore why we need to maintain the presence of comprehensive evaluations in the identification of students with specific learning disabilities (SLDs). Response to intervention (RTI) models hold great hope for early instruction, and the reduction of the overrepresentation of students in special education who…

Statistical Learning is Related to Early Literacy-Related Skills

PubMed Central

Spencer, Mercedes; Kaschak, Michael P.; Jones, John L.; Lonigan, Christopher J.

2015-01-01

It has been demonstrated that statistical learning, or the ability to use statistical information to learn the structure of one’s environment, plays a role in young children’s acquisition of linguistic knowledge. Although most research on statistical learning has focused on language acquisition processes, such as the segmentation of words from fluent speech and the learning of syntactic structure, some recent studies have explored the extent to which individual differences in statistical learning are related to literacy-relevant knowledge and skills. The present study extends on this literature by investigating the relations between two measures of statistical learning and multiple measures of skills that are critical to the development of literacy—oral language, vocabulary knowledge, and phonological processing—within a single model. Our sample included a total of 553 typically developing children from prekindergarten through second grade. Structural equation modeling revealed that statistical learning accounted for a unique portion of the variance in these literacy-related skills. Practical implications for instruction and assessment are discussed. PMID:26478658

Multimodal Word Meaning Induction From Minimal Exposure to Natural Text.

PubMed

Lazaridou, Angeliki; Marelli, Marco; Baroni, Marco

2017-04-01

By the time they reach early adulthood, English speakers are familiar with the meaning of thousands of words. In the last decades, computational simulations known as distributional semantic models (DSMs) have demonstrated that it is possible to induce word meaning representations solely from word co-occurrence statistics extracted from a large amount of text. However, while these models learn in batch mode from large corpora, human word learning proceeds incrementally after minimal exposure to new words. In this study, we run a set of experiments investigating whether minimal distributional evidence from very short passages suffices to trigger successful word learning in subjects, testing their linguistic and visual intuitions about the concepts associated with new words. After confirming that subjects are indeed very efficient distributional learners even from small amounts of evidence, we test a DSM on the same multimodal task, finding that it behaves in a remarkable human-like way. We conclude that DSMs provide a convincing computational account of word learning even at the early stages in which a word is first encountered, and the way they build meaning representations can offer new insights into human language acquisition. Copyright © 2017 Cognitive Science Society, Inc.

Early Years Practitioners' Views on Early Personal, Social and Emotional Development

ERIC Educational Resources Information Center

Aubrey, Carol; Ward, Karen

2013-01-01

Current policy guidance stresses the need for early identification of obstacles to learning and appropriate intervention. New standards for learning (Early Years Foundation Stage) place personal, social and emotional development (PSED) as central to learning and development. This paper reports a survey and follow-up interviews with early years…

The Source of Child Care Center Preschool Learning and Program Standards: Implications for Potential Early Learning Challenge Fund Grantees

ERIC Educational Resources Information Center

Ackerman, Debra J.; Sansanelli, Rachel A.

2010-01-01

The proposed federal Early Learning Challenge Fund (ELCF) aims to improve the quality of early care and education programs by promoting the integration of more stringent program and early learning standards than are typically found in child care centers. ELCF grantees also must outline their plans for professional development and technical…

Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.

PubMed

Valdes, Gilmer; Simone, Charles B; Chen, Josephine; Lin, Alexander; Yom, Sue S; Pattison, Adam J; Carpenter, Colin M; Solberg, Timothy D

2017-12-01

Clinical decision support systems are a growing class of tools with the potential to impact healthcare. This study investigates the construction of a decision support system through which clinicians can efficiently identify which previously approved historical treatment plans are achievable for a new patient to aid in selection of therapy. Treatment data were collected for early-stage lung and postoperative oropharyngeal cancers treated using photon (lung and head and neck) and proton (head and neck) radiotherapy. Machine-learning classifiers were constructed using patient-specific feature-sets and a library of historical plans. Model accuracy was analyzed using learning curves, and historical treatment plan matching was investigated. Learning curves demonstrate that for these datasets, approximately 45, 60, and 30 patients are needed for a sufficiently accurate classification model for radiotherapy for early-stage lung, postoperative oropharyngeal photon, and postoperative oropharyngeal proton, respectively. The resulting classification model provides a database of previously approved treatment plans that are achievable for a new patient. An exemplary case, highlighting tradeoffs between the heart and chest wall dose while holding target dose constant in two historical plans is provided. We report on the first artificial-intelligence based clinical decision support system that connects patients to past discrete treatment plans in radiation oncology and demonstrate for the first time how this tool can enable clinicians to use past decisions to help inform current assessments. Clinicians can be informed of dose tradeoffs between critical structures early in the treatment process, enabling more time spent on finding the optimal course of treatment for individual patients. Copyright © 2017. Published by Elsevier B.V.

Diversity's Impact on the Executive Coaching Process

ERIC Educational Resources Information Center

Maltbia, Terrence E.; Power, Anne

2005-01-01

This paper presents a conceptual model intended to expand existing executive coaching processes used in organizations by building the strategic learning capabilities needed to integrate a diversity perspective into this emerging field of HRD practice. This model represents the early development of results from a Diversity Practitioner Study…

Instructional Media Production for Early Childhood Education: A. B. C. Jig-Saw Puzzle, a Model

ERIC Educational Resources Information Center

Yusuf, Mudashiru Olalere; Olanrewaju, Olatayo Solomon; Soetan, Aderonke K.

2015-01-01

In this paper, a. b. c. jig-saw puzzle was produced for early childhood education using local materials. This study was a production based type of research, to serve as a supplemental or total learning resource. Its production followed four phases of development referred to as information, design, production and evaluation. The storyboard cards,…

Supporting Parental Involvement in Children's Early Learning: Lessons from Community Childcare Centres in Dublin's Docklands

ERIC Educational Resources Information Center

Share, Michelle; Kerrins, Liz

2013-01-01

Recently in Ireland attention has been placed on the importance of parental involvement in early childhood care and education settings as seen in the Síolta Quality Standards and Aistear Curriculum Framework. Yet there is little Irish empirical evidence on parental involvement in childcare settings; on the involvement models being used, or on the…

Modelos de instruccion para la educacion en la ninez temprana (Instructional Models for Early Childhood Education). ERIC Digest.

ERIC Educational Resources Information Center

Golbeck, Susan L.

As teachers, researchers, and policy makers strive to ensure that all children enter school "ready to learn," no question is more pressing than: "What is the best approach for teaching young children?" This digest discusses the existing knowledge base on the differential effects of various approaches to early education. The…

Culture and the Brain: Making the Most of Learning in the Early Childhood Classroom

ERIC Educational Resources Information Center

Thomas-Fair, Ursula

2007-01-01

This article reviews the impetus for higher quality, culturally appropriate early learning experiences. It investigates the economic costs of low quality learning and the absence of early learning programs as well. The article identifies and explores the tenets of brain-based learning and its connection to culture. Finally, the article describes…

Early life manipulations of vasopressin-family peptides alter vocal learning.

PubMed

Baran, Nicole M; Peck, Samantha C; Kim, Tabitha H; Goldstein, Michael H; Adkins-Regan, Elizabeth

2017-07-26

Vocal learning from social partners is crucial for the successful development of communication in a wide range of species. Social interactions organize attention and enhance motivation to learn species-typical behaviour. However, the neurobiological mechanisms connecting social motivation and vocal learning are unknown. Using zebra finches ( Taeniopygia guttata ), a ubiquitous model for vocal learning, we show that manipulations of nonapeptide hormones in the vasopressin family (arginine vasotocin, AVT) early in development can promote or disrupt both song and social motivation. Young male zebra finches, like human infants, are socially gregarious and require interactive feedback from adult tutors to learn mature vocal forms. To investigate the role of social motivational mechanisms in song learning, in two studies, we injected hatchling males with AVT or Manning compound (MC, a nonapeptide receptor antagonist) on days 2-8 post-hatching and recorded song at maturity. In both studies, MC males produced a worse match to tutor song than controls. In study 2, which experimentally controlled for tutor and genetic factors, AVT males also learned song significantly better compared with controls. Furthermore, song similarity correlated with several measures of social motivation throughout development. These findings provide the first evidence that nonapeptides are critical to the development of vocal learning. © 2017 The Author(s).

Early Childhood Educator and Administrator Surveys on the Use of Assessments and Standards in Early Childhood Settings. REL 2014-019

ERIC Educational Resources Information Center

Irwin, Clare W.; O'Dwyer, Laura; Cook, Kyle DeMeo

2014-01-01

The Early Childhood Educator Survey and the Early Childhood Administrator Survey allow users to collect consistent data on the use of child assessments and learning standards in early childhood learning settings. Each survey includes modules on educator/administrator background information, assessment use, and learning standards implementation.…

Previous Institutionalization Is Followed by Broader Amygdala-Hippocampal-PFC Network Connectivity during Aversive Learning in Human Development.

PubMed

Silvers, Jennifer A; Lumian, Daniel S; Gabard-Durnam, Laurel; Gee, Dylan G; Goff, Bonnie; Fareri, Dominic S; Caldera, Christina; Flannery, Jessica; Telzer, Eva H; Humphreys, Kathryn L; Tottenham, Nim

2016-06-15

Early institutional care can be profoundly stressful for the human infant, and, as such, can lead to significant alterations in brain development. In animal models, similar variants of early adversity have been shown to modify amygdala-hippocampal-prefrontal cortex development and associated aversive learning. The current study examined this rearing aberration in human development. Eighty-nine children and adolescents who were either previously institutionalized (PI youth; N = 46; 33 females and 13 males; age range, 7-16 years) or were raised by their biological parents from birth (N = 43; 22 females and 21 males; age range, 7-16 years) completed an aversive-learning paradigm while undergoing functional neuroimaging, wherein visual cues were paired with either an aversive sound (CS+) or no sound (CS-). For the PI youth, better aversive learning was associated with higher concurrent trait anxiety. Both groups showed robust learning and amygdala activation for CS+ versus CS- trials. However, PI youth also exhibited broader recruitment of several regions and increased hippocampal connectivity with prefrontal cortex. Stronger connectivity between the hippocampus and ventromedial PFC predicted significant improvements in future anxiety (measured 2 years later), and this was particularly true within the PI group. These results suggest that for humans as well as for other species, early adversity alters the neurobiology of aversive learning by engaging a broader prefrontal-subcortical circuit than same-aged peers. These differences are interpreted as ontogenetic adaptations and potential sources of resilience. Prior institutionalization is a significant form of early adversity. While nonhuman animal research suggests that early adversity alters aversive learning and associated neurocircuitry, no prior work has examined this in humans. Here, we show that youth who experienced prior institutionalization, but not comparison youth, recruit the hippocampus during aversive learning. Among youth who experienced prior institutionalization, individual differences in aversive learning were associated with worse current anxiety. However, connectivity between the hippocampus and prefrontal cortex prospectively predicted significant improvements in anxiety 2 years following scanning for previously institutionalized youth. Among youth who experienced prior institutionalization, age-atypical engagement of a distributed set of brain regions during aversive learning may serve a protective function. Copyright © 2016 the authors 0270-6474/16/366421-11$15.00/0.

Strong systematicity through sensorimotor conceptual grounding: an unsupervised, developmental approach to connectionist sentence processing

NASA Astrophysics Data System (ADS)

Jansen, Peter A.; Watter, Scott

2012-03-01

Connectionist language modelling typically has difficulty with syntactic systematicity, or the ability to generalise language learning to untrained sentences. This work develops an unsupervised connectionist model of infant grammar learning. Following the semantic boostrapping hypothesis, the network distils word category using a developmentally plausible infant-scale database of grounded sensorimotor conceptual representations, as well as a biologically plausible semantic co-occurrence activation function. The network then uses this knowledge to acquire an early benchmark clausal grammar using correlational learning, and further acquires separate conceptual and grammatical category representations. The network displays strongly systematic behaviour indicative of the general acquisition of the combinatorial systematicity present in the grounded infant-scale language stream, outperforms previous contemporary models that contain primarily noun and verb word categories, and successfully generalises broadly to novel untrained sensorimotor grounded sentences composed of unfamiliar nouns and verbs. Limitations as well as implications to later grammar learning are discussed.

A novel method for predicting kidney stone type using ensemble learning.

PubMed

Kazemi, Yassaman; Mirroshandel, Seyed Abolghasem

2018-01-01

The high morbidity rate associated with kidney stone disease, which is a silent killer, is one of the main concerns in healthcare systems all over the world. Advanced data mining techniques such as classification can help in the early prediction of this disease and reduce its incidence and associated costs. The objective of the present study is to derive a model for the early detection of the type of kidney stone and the most influential parameters with the aim of providing a decision-support system. Information was collected from 936 patients with nephrolithiasis at the kidney center of the Razi Hospital in Rasht from 2012 through 2016. The prepared dataset included 42 features. Data pre-processing was the first step toward extracting the relevant features. The collected data was analyzed with Weka software, and various data mining models were used to prepare a predictive model. Various data mining algorithms such as the Bayesian model, different types of Decision Trees, Artificial Neural Networks, and Rule-based classifiers were used in these models. We also proposed four models based on ensemble learning to improve the accuracy of each learning algorithm. In addition, a novel technique for combining individual classifiers in ensemble learning was proposed. In this technique, for each individual classifier, a weight is assigned based on our proposed genetic algorithm based method. The generated knowledge was evaluated using a 10-fold cross-validation technique based on standard measures. However, the assessment of each feature for building a predictive model was another significant challenge. The predictive strength of each feature for creating a reproducible outcome was also investigated. Regarding the applied models, parameters such as sex, acid uric condition, calcium level, hypertension, diabetes, nausea and vomiting, flank pain, and urinary tract infection (UTI) were the most vital parameters for predicting the chance of nephrolithiasis. The final ensemble-based model (with an accuracy of 97.1%) was a robust one and could be safely applied to future studies to predict the chances of developing nephrolithiasis. This model provides a novel way to study stone disease by deciphering the complex interaction among different biological variables, thus helping in an early identification and reduction in diagnosis time. Copyright © 2017 Elsevier B.V. All rights reserved.

Exploring the Effect of Embedded Scaffolding within Curricular Tasks on Third-Grade Students' Model-Based Explanations about Hydrologic Cycling

ERIC Educational Resources Information Center

Zangori, Laura; Forbes, Cory T.; Schwarz, Christina V.

2015-01-01

Opportunities to generate model-based explanations are crucial for elementary students, yet are rarely foregrounded in elementary science learning environments despite evidence that early learners can reason from models when provided with scaffolding. We used a quasi-experimental research design to investigate the comparative impact of a scaffold…

Modeling and Compensatory Processes Underlying Involvement in Child Care among Kibbutz-Reared Fathers

ERIC Educational Resources Information Center

Gaunt, Ruth; Bassi, Liat

2012-01-01

This study examined modeling and compensatory processes underlying the effects of an early paternal model on father involvement in child care. Drawing on social learning theory, it was hypothesized that father-son relationships would moderate the association between a father's involvement and his own father's involvement. A sample of 136 kibbutz…

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

PubMed

Xiao, Cao; Choi, Edward; Sun, Jimeng

2018-06-08

To conduct a systematic review of deep learning models for electronic health record (EHR) data, and illustrate various deep learning architectures for analyzing different data sources and their target applications. We also highlight ongoing research and identify open challenges in building deep learning models of EHRs. We searched PubMed and Google Scholar for papers on deep learning studies using EHR data published between January 1, 2010, and January 31, 2018. We summarize them according to these axes: types of analytics tasks, types of deep learning model architectures, special challenges arising from health data and tasks and their potential solutions, as well as evaluation strategies. We surveyed and analyzed multiple aspects of the 98 articles we found and identified the following analytics tasks: disease detection/classification, sequential prediction of clinical events, concept embedding, data augmentation, and EHR data privacy. We then studied how deep architectures were applied to these tasks. We also discussed some special challenges arising from modeling EHR data and reviewed a few popular approaches. Finally, we summarized how performance evaluations were conducted for each task. Despite the early success in using deep learning for health analytics applications, there still exist a number of issues to be addressed. We discuss them in detail including data and label availability, the interpretability and transparency of the model, and ease of deployment.

Second-Language Learning in Early Childhood: Some Thoughts for Practitioners.

ERIC Educational Resources Information Center

McLaughlin, Barry

There is much that can be done in early childhood education programs to foster second language learning in young children. The research literature on early childhood bilingualism clearly indicates that children can learn two languages simultaneously without apparent effort, without cognitive strain or interference in learning either language…

Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms

NASA Astrophysics Data System (ADS)

Arabzadeh, Vida; Niaki, S. T. A.; Arabzadeh, Vahid

2017-10-01

One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases are the conventional methods to deal with cost estimation. The current study presents data-driven methods for cost estimation based on the application of artificial neural network (ANN) and regression models. The learning algorithms of the ANN are the Levenberg-Marquardt and the Bayesian regulated. Moreover, regression models are hybridized with a genetic algorithm to obtain better estimates of the coefficients. The methods are applied in a real case, where the input parameters of the models are assigned based on the key issues involved in a spherical tank construction. The results reveal that while a high correlation between the estimated cost and the real cost exists; both ANNs could perform better than the hybridized regression models. In addition, the ANN with the Levenberg-Marquardt learning algorithm (LMNN) obtains a better estimation than the ANN with the Bayesian-regulated learning algorithm (BRNN). The correlation between real data and estimated values is over 90%, while the mean square error is achieved around 0.4. The proposed LMNN model can be effective to reduce uncertainty and complexity in the early stages of the construction project.

Early Learning and Educational Technology Policy Brief

ERIC Educational Resources Information Center

Lee, Joan

2016-01-01

Recognizing the growth of technology use in early learning settings, the U.S. Department of Education and U.S. Department of Health and Human Services collaborated in the development of the "Early Learning and Educational Technology Policy Brief" to promote developmentally appropriate use of technology in homes and early learning…

Race to the Top--Early Learning Challenge: An Analysis of Impact on IDEIA, Part C Early Intervention Programs

ERIC Educational Resources Information Center

Bohjanen, Sharon L.

2016-01-01

Infants and toddlers who live in poverty are more likely to experience developmental delays or disabilities and less likely to access early intervention (EI) services. The federal initiative Race to the Top--Early Learning Challenge (RTT-ELC) was designed to increase access to high quality early learning programs for children at risk for…

The Seeds of Learning: Young Children Develop Important Skills through Their Gardening Activities at a Midwestern Early Education Program

ERIC Educational Resources Information Center

Miller, Dana L.

2007-01-01

Using teachers as co-researchers to collect and analyze data, this case study explored preschool and kindergarteners' learning when they were engaged in hands-on activities in the garden and greenhouse areas of a model outdoor classroom. Key findings suggest that when young children are participating in garden and greenhouse activities they are:…

Building Better Beginnings: A Case Study of How a Daily Physical Skills Session Is Supporting Overall Learning and Development for Young Boys

ERIC Educational Resources Information Center

Chalke, Joy

2016-01-01

This case study argues for the consideration of an adult-directed physical skills session as an approach to supporting boys learning in the Early Years Foundation Stage in England. It exemplifies a model of professional development that utilises the individual knowledge and expertise of practitioners to support and extend others' practice. It…

Can Student Engagement Serve as a Motivational Resource for Academic Coping, Persistence, and Learning during Late Elementary and Early Middle School?

ERIC Educational Resources Information Center

Skinner, Ellen A.; Pitzer, Jennifer R.; Steele, Joel S.

2016-01-01

How children and youth deal with academic challenges and setbacks can make a material difference to their learning and school success. Hence, it is important to investigate the factors that allow students to cope constructively. A process model focused on students' motivational resources was used to frame a study examining whether engagement in…

Policy Transfer via Markov Logic Networks

NASA Astrophysics Data System (ADS)

Torrey, Lisa; Shavlik, Jude

We propose using a statistical-relational model, the Markov Logic Network, for knowledge transfer in reinforcement learning. Our goal is to extract relational knowledge from a source task and use it to speed up learning in a related target task. We show that Markov Logic Networks are effective models for capturing both source-task Q-functions and source-task policies. We apply them via demonstration, which involves using them for decision making in an initial stage of the target task before continuing to learn. Through experiments in the RoboCup simulated-soccer domain, we show that transfer via Markov Logic Networks can significantly improve early performance in complex tasks, and that transferring policies is more effective than transferring Q-functions.

Race to the Top - Early Learning Challenge: 2014 Annual Performance Report. Wisconsin

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2015

2015-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2014 describes Wisconsin's accomplishments, lessons learned, challenges, and strategies Wisconsin will implement to address those challenges. During the second year of the Race to the Top - Early Learning Challenge (RTT-ELC) in Wisconsin, there have…

Race to the Top - Early Learning Challenge: 2014 Annual Performance Report. Delaware

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2015

2015-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2014 describes Delaware's accomplishments, lessons learned, challenges, and strategies Delaware will implement to address those challenges. At the end of Year Three of the Early Learning Challenge Grant, Delaware continues to make significant progress…

Early Learning Foundations. Indiana's Early Learning Development Framework Aligned to the Indiana Academic Standards, 2014

ERIC Educational Resources Information Center

Indiana Department of Education, 2015

2015-01-01

The "Foundations" (English/language arts, mathematics, social emotional skills, approaches to play and learning, science, social studies, creative arts, and physical health and growth) are Indiana's early learning development framework and are aligned to the 2014 Indiana Academic Standards. This framework provides core elements that…

Plasticity in the Rat Prefrontal Cortex: Linking Gene Expression and an Operant Learning with a Computational Theory

PubMed Central

Rapanelli, Maximiliano; Lew, Sergio Eduardo; Frick, Luciana Romina; Zanutto, Bonifacio Silvano

2010-01-01

The plasticity in the medial Prefrontal Cortex (mPFC) of rodents or lateral prefrontal cortex in non human primates (lPFC), plays a key role neural circuits involved in learning and memory. Several genes, like brain-derived neurotrophic factor (BDNF), cAMP response element binding (CREB), Synapsin I, Calcium/calmodulin-dependent protein kinase II (CamKII), activity-regulated cytoskeleton-associated protein (Arc), c-jun and c-fos have been related to plasticity processes. We analysed differential expression of related plasticity genes and immediate early genes in the mPFC of rats during learning an operant conditioning task. Incompletely and completely trained animals were studied because of the distinct events predicted by our computational model at different learning stages. During learning an operant conditioning task, we measured changes in the mRNA levels by Real-Time RT-PCR during learning; expression of these markers associated to plasticity was incremented while learning and such increments began to decline when the task was learned. The plasticity changes in the lPFC during learning predicted by the model matched up with those of the representative gene BDNF. Herein, we showed for the first time that plasticity in the mPFC in rats during learning of an operant conditioning is higher while learning than when the task is learned, using an integrative approach of a computational model and gene expression. PMID:20111591

Learning by Teaching: Undergraduate Engineering Students Improving a Community's Response Capability to an Early Warning System

ERIC Educational Resources Information Center

Suvannatsiri, Ratchasak; Santichaianant, Kitidech; Murphy, Elizabeth

2015-01-01

This paper reports on a project in which students designed, constructed and tested a model of an existing early warning system with simulation of debris flow in a context of a landslide. Students also assessed rural community members' knowledge of this system and subsequently taught them to estimate the time needed for evacuation of the community…

A Systemwide Approach to Improving Early Childhood Program Quality in the Detroit Metropolitan Area. Final Report.

ERIC Educational Resources Information Center

Shouse, A. Clay; Epstein, Ann S.

This document is the final report of the McGregor-funded High/Scope training initiative, a system-wide approach to improving the quality of early childhood programs in the Detroit metropolitan area. The 3-year project was based on the validated High/Scope educational approach and training model, which advocates hands-on active learning for both…

Design Approaches to Support Preservice Teachers in Scientific Modeling

NASA Astrophysics Data System (ADS)

Kenyon, Lisa; Davis, Elizabeth A.; Hug, Barbara

2011-02-01

Engaging children in scientific practices is hard for beginning teachers. One such scientific practice with which beginning teachers may have limited experience is scientific modeling. We have iteratively designed preservice teacher learning experiences and materials intended to help teachers achieve learning goals associated with scientific modeling. Our work has taken place across multiple years at three university sites, with preservice teachers focused on early childhood, elementary, and middle school teaching. Based on results from our empirical studies supporting these design decisions, we discuss design features of our modeling instruction in each iteration. Our results suggest some successes in supporting preservice teachers in engaging students in modeling practice. We propose design principles that can guide science teacher educators in incorporating modeling in teacher education.

Startle reduces recall of a recently learned internal model.

PubMed

Wright, Zachary; Patton, James L; Ravichandran, Venn

2011-01-01

Recent work has shown that preplanned motor programs are released early from subcortical areas by the using a startling acoustic stimulus (SAS). Our question is whether this response might also contain a recently learned internal model, which draws on experience to predict and compensate for expected perturbations in a feedforward manner. Studies of adaptation to robotic forces have shown some evidence of this, but were potentially confounded by cocontraction caused by startle. We performed a new adaptation experiment using a visually distorted field that could not be confounded by cocontraction. We found that in all subjects that exhibited startle, the startle stimulus (1) reduced performance of the recently learned task (2) reduced after-effect magnitudes. Because startle reduced but did not eliminate the recall of learned control, we suggest that multiple neural centers (cortical and subcortical) are involved in such learning and adaptation, which can impact training areas such as piloting, teleoperation, sports, and rehabilitation. © 2011 IEEE

A Fourth Dimension: Tapping the Artist within the Early Childhood Educator

ERIC Educational Resources Information Center

Dehouske, Ellen J.

2006-01-01

This article examines the concept of an early childhood teacher learning, in stages, a new method for integrating the arts into the early childhood curriculum. An early childhood graduate course, Aesthetics as Learning, is the learning ground. In this course, the graduate students discover the "Adult Within," the "Child Within," the "Teacher…

Dopamine and Consolidation of Episodic Memory: Timing Is Everything

PubMed Central

Grogan, John; Bogacz, Rafal; Tsivos, Demitra; Whone, Alan; Coulthard, Elizabeth

2016-01-01

Memory consolidation underpins adaptive behavior and dopaminergic networks may be critical for prolonged, selective information storage. To understand the time course of the dopaminergic contribution to memory consolidation in humans, here we investigate the effect of dopaminergic medication on recall and recognition in the short and longer term in Parkinson disease (PD). Fifteen people with PD were each tested on or off dopaminergic medication during learning/early consolidation (Day 1) and/or late consolidation (Day 2). Fifteen age-matched healthy participants were tested only once. On Day 1 participants learned new information, and early episodic memory was tested after 30 min. Then on Day 2, recall and recognition were retested after a 24-hr delay. Participants on medication on Day 1 recalled less information at 30 min and 24 hr. In contrast, patients on medication on Day 2 (8–24 hr after learning) recalled more information at 24 hr than those off medication. Although recognition sensitivity was unaffected by medication, response bias was dependent on dopaminergic state: Medication during learning induced a more liberal bias 24 hr later, whereas patients off medication during learning were more conservative responders 24 hr later. We use computational modeling to propose possible mechanisms for this change in response bias. In summary, dopaminergic medication in PD patients during learning impairs early consolidation of episodic memory and makes delayed responses more liberal, but enhances late memory consolidation presumably through a dopamine-dependent consolidation pathway that may be active during sleep. PMID:26102227

Input and Age-Dependent Variation in Second Language Learning: A Connectionist Account.

PubMed

Janciauskas, Marius; Chang, Franklin

2017-07-26

Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we reanalyzed grammaticality judgment scores in Flege, Yeni-Komshian, and Liu's (1999) study of L2 learners using rule-related predictors and found that, in addition to the overall drop in performance due to a sensitive period, L2 knowledge increased with years of input. Knowledge of different grammar rules was negatively associated with input frequency of those rules. To better understand these effects, we modeled the results using a connectionist model that was trained using Korean as a first language (L1) and then English as an L2. To explain the sensitive period in L2 learning, the model's learning rate was reduced in an age-related manner. By assigning different learning rates for syntax and lexical learning, we were able to model the difference between early and late L2 learners in input sensitivity. The model's learning mechanism allowed transfer between the L1 and L2, and this helped to explain the differences between different rules in the grammaticality judgment task. This work demonstrates that an L1 model of learning and processing can be adapted to provide an explicit account of how the input and the sensitive period interact in L2 learning. © 2017 The Authors. Cognitive Science - A Multidisciplinary Journal published by Wiley Periodicals, Inc.

LESSONS LEARNED AND NEXT STEPS FOR BUILDING KNOWLEDGE ABOUT TRIBAL MATERNAL, INFANT, AND EARLY CHILDHOOD HOME VISITING.

PubMed

Whitmore, Corrie B; Sarche, Michelle; Ferron, Cathy; Moritsugu, John; Sanchez, Jenae G

2018-05-16

Authors in this Special Issue of the Infant Mental Health Journal shared the work of the first three cohorts of Tribal Maternal, Infant, and Early Childhood Home Visiting (MIECHV) grantees funded by the Administration for Children and Families. Since 2010, Tribal MIECHV grantees have served families and children prenatally to kindergarten entry in American Indian and Alaska Native (AI/AN) communities across the lower 48 United States and Alaska. Articles highlighted challenges and opportunities that arose as grantees adapted, enhanced, implemented, and evaluated their home-visiting models. This article summarizes nine lessons learned across the articles in this Special Issue. Lessons learned address the importance of strengths-based approaches, relationship-building, tribal community stakeholder involvement, capacity-building, alignment of resources and expectations, tribal values, adaptation to increase cultural and contextual attunement, indigenous ways of knowing, community voice, and sustainability. Next steps in Tribal MIECHV are discussed in light of these lessons learned. © 2018 Michigan Association for Infant Mental Health.

Emotional learning, stress, and development: An ever-changing landscape shaped by early-life experience.

PubMed

Pattwell, Siobhan S; Bath, Kevin G

2017-09-01

The capacity to learn to associate cues with negative outcomes is a highly adaptive process that appears to be conserved across species. However, when the cue is no longer a valid predictor of danger, but the emotional response persists, this can result in maladaptive behaviors, and in humans contribute to debilitating emotional disorders. Over the past several decades, work in neuroscience, psychiatry, psychology, and biology have uncovered key processes underlying, and structures governing, emotional responding and learning, as well as identified disruptions in the structural and functional integrity of these brain regions in models of pathology. In this review, we highlight some of this elegant body of work as well as incorporate emerging findings from the field of developmental neurobiology to emphasize how development contributes to changes in the ability to learn and express emotional responses, and how early experiences, such as stress, shape the development and functioning of these circuits. Copyright © 2017 Elsevier Inc. All rights reserved.

A model of influences on the clinical learning environment: the case for change at one U.S. medical school.

PubMed

Fleit, Howard B; Iuli, Richard J; Fischel, Janet E; Lu, Wei-Hsin; Chandran, Latha

2017-03-23

The learning environment within a school of medicine influences medical students' values and their professional development. Despite national requirements to monitor the learning environment, mistreatment of medical students persists. We designed a program called WE SMILE: We can Eradicate Student Mistreatment In the Learning Environment with a vision to enhance trainee and faculty awareness and ultimately eliminate medical student mistreatment. We provide a description of our program and early outcomes. The program has enhanced student awareness of what constitutes mistreatment and how to report it. Faculty members are also aware of the formal processes and procedures for review of such incidents. Our proposed model of influences on the learning environment and the clinical workforce informs the quality of trainee education and safety of patient care. Institutional leadership and culture play a prominent role in this model. Our integrated institutional response to learning environment concerns is offered as a strategy to improve policy awareness, reporting and management of student mistreatment concerns. Our WE SMILE program was developed to enhance education and awareness of what constitutes mistreatment and to provide multiple pathways for student reporting, with clear responsibilities for review, adjudication and enforcement. The program is demonstrating several signs of early success and is offered as a strategy for other schools to adopt or adapt. We have recognized a delicate balance between preserving student anonymity and informing them of specific actions taken. Providing students and other stakeholders with clear evidence of institutional response and accountability remains a key challenge. Multiple methods of reporting have been advantageous in eliciting information on learning environment infringements. These routes and types of reporting have enhanced our understanding of student perceptions and the specific contexts in which mistreatment occurs, allowing for targeted interventions. A common platform across the healthcare professions to report and review concerns has afforded us opportunities to deal with interprofessional issues in a respectful and trustworthy manner. We offer a model of learning environment influences with leadership and institutional culture at the helm, as a way to frame a comprehensive perspective on this challenging and complex concern.

The role of ability, motivation, and opportunity to work in the transition from work to early retirement--testing and optimizing the Early Retirement Model.

PubMed

de Wind, Astrid; Geuskens, Goedele A; Ybema, Jan Fekke; Bongers, Paulien M; van der Beek, Allard J

2015-01-01

Determinants in the domains health, job characteristics, skills, and social and financial factors may influence early retirement through three central explanatory variables, namely, the ability, motivation, and opportunity to work. Based on the literature, we created the Early Retirement Model. This study aims to investigate whether data support the model and how it could be improved. Employees aged 58-62 years (N=1862), who participated in the first three waves of the Dutch Study on Transitions in Employment, Ability and Motivation (STREAM) were included. Determinants were assessed at baseline, central explanatory variables after one year, and early retirement after two years. Structural equation modeling was applied. Testing the Early Retirement Model resulted in a model with good fit. Health, job characteristics, skills, and social and financial factors were related to the ability, motivation and/or opportunity to work (significant β range: 0.05-0.31). Lower work ability (β=-0.13) and less opportunity to work (attitude colleagues and supervisor about working until age 65: β=-0.24) predicted early retirement, whereas the motivation to work (work engagement) did not. The model could be improved by adding direct effects of three determinants on early retirement, ie, support of colleagues and supervisor (β=0.14), positive attitude of the partner with respect to early retirement (β=0.15), and not having a partner (β=-0.13). The Early Retirement Model was largely supported by the data but could be improved. The prolongation of working life might be promoted by work-related interventions focusing on health, work ability, the social work climate, social norms on prolonged careers, and the learning environment.

"Every Child Ready": Exposure to a Comprehensive Instructional Model Improves Students' Growth Trajectories in Multiple Early Learning Domains

ERIC Educational Resources Information Center

Carlson, Abby G.; Curby, Timothy W.; Brown, Chavaughn A.; Truong, Felicia R.

2017-01-01

The current study investigates the impact of Every Child Ready (ECR), a comprehensive instructional model that includes: "What to teach, how to teach and how to know instruction is effective." The ECR instructional model is designed to provide high quality instruction to children via a play-based, thematic curriculum. Participants…

Intuitive Physics: Current Research and Controversies.

PubMed

Kubricht, James R; Holyoak, Keith J; Lu, Hongjing

2017-10-01

Early research in the field of intuitive physics provided extensive evidence that humans succumb to common misconceptions and biases when predicting, judging, and explaining activity in the physical world. Recent work has demonstrated that, across a diverse range of situations, some biases can be explained by the application of normative physical principles to noisy perceptual inputs. However, it remains unclear how knowledge of physical principles is learned, represented, and applied to novel situations. In this review we discuss theoretical advances from heuristic models to knowledge-based, probabilistic simulation models, as well as recent deep-learning models. We also consider how recent work may be reconciled with earlier findings that favored heuristic models. Copyright © 2017 Elsevier Ltd. All rights reserved.

Leadership of Learning in Early Years Practice: A Professional Learning Resource [Includes DVD

ERIC Educational Resources Information Center

Hallet, Elaine

2014-01-01

This book focuses upon effective pedagogical leadership and practice in the leadership of learning within early years settings and children's centres. The book and accompanying DVD, containing real-life examples of early years leaders, provides a framework for reflective thinking and learning for those leading practice and working with children,…

Regional Traffic Incident Management Programs : implementation guide

DOT National Transportation Integrated Search

2000-11-01

The purpose of this document is to assist organizations and their leaders in implementing and sustaining regional traffic incident management programs, both by examining some successful models, and by considering some of the lessons learned by early ...

Early Learning in Psychomotor Training of Down's Syndrome.

ERIC Educational Resources Information Center

Sanz Aparicio, Maria Teresa; Menendez Balana, Javier

2003-01-01

Compared effectiveness of modeling from a clinician to that of written instructions to train parents to use a motor stimulation program with their infants with Down syndrome. Obtained motor development quotients prior to the program and at 6, 12, 18, and 24 months. Found that infants of parents trained by modeling obtained higher motor…

Reciprocal Effects of Self-Regulation, Semantic Knowledge, and Reading Comprehension in Early Elementary School

ERIC Educational Resources Information Center

Connor, Carol McDonald; Day, Stephanie L.; Phillips, Beth; Sparapani, Nicole; Ingebrand, Sarah W.; McLean, Leigh; Barrus, Angela; Kaschak, Michael P.

2016-01-01

Many assume that cognitive and linguistic processes, such as semantic knowledge (SK) and self-regulation (SR), subserve learned skills like reading. However, complex models of interacting and bootstrapping effects of SK, SR, instruction, and reading hypothesize reciprocal effects. Testing this "lattice" model with children (n = 852)…

Working with High-Risk Youth in Prevention and Early Intervention Programs: Toward a Comprehensive Wellness Model.

ERIC Educational Resources Information Center

Mills, Roger C.; And Others

1988-01-01

Addresses issues such as dropouts, teenage pregnancy, drug abuse, suicide, and other health-damaging behaviors. Presents a theory of youth development and learning, and an integrated, interactive and reciprocal model for the prevention of health-damaging behavior. Addresses the role of the schools in prevention. (Author/BH)

A Computational Model of Early Argument Structure Acquisition

ERIC Educational Resources Information Center

Alishahi, Afra; Stevenson, Suzanne

2008-01-01

How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning…

A Meta-Analysis of the Relationship between Learning Outcomes and Parental Involvement during Early Childhood Education and Early Elementary Education

ERIC Educational Resources Information Center

Ma, Xin; Shen, Jianping; Krenn, Huilan Y.; Hu, Shanshan; Yuan, Jing

2016-01-01

This meta-analysis examined the relationship between learning outcomes of children and educational involvement of parents during a unique period of early childhood education and early elementary education based on 100 independent effect sizes from 46 studies. Learning outcomes are academic achievement, and frameworks of parental involvement…

Children's Participation Rights in Early Childhood Education and Care: The Case of Early Literacy Learning and Pedagogy

ERIC Educational Resources Information Center

Dunphy, Elizabeth

2012-01-01

This position article argues that educators' knowledge of young children's perspectives on aspects of early learning, including literacy learning, and subsequent interpretations of the ways that these perspectives can inform and shape pedagogy are key to promoting children's participation rights in early childhood education and care. Drawing on…

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

PubMed

Churpek, Matthew M; Yuen, Trevor C; Winslow, Christopher; Meltzer, David O; Kattan, Michael W; Edelson, Dana P

2016-02-01

Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter database. Observational cohort study. Five hospitals, from November 2008 until January 2013. Hospitalized ward patients None Demographic variables, laboratory values, and vital signs were utilized in a discrete-time survival analysis framework to predict the combined outcome of cardiac arrest, intensive care unit transfer, or death. Two logistic regression models (one using linear predictor terms and a second utilizing restricted cubic splines) were compared to several different machine learning methods. The models were derived in the first 60% of the data by date and then validated in the next 40%. For model derivation, each event time window was matched to a non-event window. All models were compared to each other and to the Modified Early Warning score, a commonly cited early warning score, using the area under the receiver operating characteristic curve (AUC). A total of 269,999 patients were admitted, and 424 cardiac arrests, 13,188 intensive care unit transfers, and 2,840 deaths occurred in the study. In the validation dataset, the random forest model was the most accurate model (AUC, 0.80 [95% CI, 0.80-0.80]). The logistic regression model with spline predictors was more accurate than the model utilizing linear predictors (AUC, 0.77 vs 0.74; p < 0.01), and all models were more accurate than the MEWS (AUC, 0.70 [95% CI, 0.70-0.70]). In this multicenter study, we found that several machine learning methods more accurately predicted clinical deterioration than logistic regression. Use of detection algorithms derived from these techniques may result in improved identification of critically ill patients on the wards.

Early postnatal exposure to isoflurane causes cognitive deficits and disrupts development of newborn hippocampal neurons via activation of the mTOR pathway

PubMed Central

Lim, Sanghee; Kwak, Minhye; Gray, Christy D.; Xu, Michael; Choi, Jun H.; Junn, Sue; Kim, Jieun; Xu, Jing; Schaefer, Michele; Johns, Roger A.; Song, Hongjun; Ming, Guo-Li; Mintz, C. David

2017-01-01

Clinical and preclinical studies indicate that early postnatal exposure to anesthetics can lead to lasting deficits in learning and other cognitive processes. The mechanism underlying this phenomenon has not been clarified and there is no treatment currently available. Recent evidence suggests that anesthetics might cause persistent deficits in cognitive function by disrupting key events in brain development. The hippocampus, a brain region that is critical for learning and memory, contains a large number of neurons that develop in the early postnatal period, which are thus vulnerable to perturbation by anesthetic exposure. Using an in vivo mouse model we demonstrate abnormal development of dendrite arbors and dendritic spines in newly generated dentate gyrus granule cell neurons of the hippocampus after a clinically relevant isoflurane anesthesia exposure conducted at an early postnatal age. Furthermore, we find that isoflurane causes a sustained increase in activity in the mechanistic target of rapamycin pathway, and that inhibition of this pathway with rapamycin not only reverses the observed changes in neuronal development, but also substantially improves performance on behavioral tasks of spatial learning and memory that are impaired by isoflurane exposure. We conclude that isoflurane disrupts the development of hippocampal neurons generated in the early postnatal period by activating a well-defined neurodevelopmental disease pathway and that this phenotype can be reversed by pharmacologic inhibition. PMID:28683067

Biased ART: a neural architecture that shifts attention toward previously disregarded features following an incorrect prediction.

PubMed

Carpenter, Gail A; Gaddam, Sai Chaitanya

2010-04-01

Memories in Adaptive Resonance Theory (ART) networks are based on matched patterns that focus attention on those portions of bottom-up inputs that match active top-down expectations. While this learning strategy has proved successful for both brain models and applications, computational examples show that attention to early critical features may later distort memory representations during online fast learning. For supervised learning, biased ARTMAP (bARTMAP) solves the problem of over-emphasis on early critical features by directing attention away from previously attended features after the system makes a predictive error. Small-scale, hand-computed analog and binary examples illustrate key model dynamics. Two-dimensional simulation examples demonstrate the evolution of bARTMAP memories as they are learned online. Benchmark simulations show that featural biasing also improves performance on large-scale examples. One example, which predicts movie genres and is based, in part, on the Netflix Prize database, was developed for this project. Both first principles and consistent performance improvements on all simulation studies suggest that featural biasing should be incorporated by default in all ARTMAP systems. Benchmark datasets and bARTMAP code are available from the CNS Technology Lab Website: http://techlab.bu.edu/bART/. Copyright 2009 Elsevier Ltd. All rights reserved.

The development of perceptual attention and articulatory skill in one or two languages

NASA Astrophysics Data System (ADS)

Fowler, Carol; Best, Catherine

2002-05-01

Infants acquire properties of their native language especially during the second half of the first year of life. Models, such as Jusczyk's WRAPSA, Best's PAM, Kuhl's NLM, and Werker's account describe changes in perceptual or attentional space that may underlie the perceptual changes that infants exhibit. Unknown is the relation of these changes to changes in speechlike vocalizations that occur at the same time. Future research should address whether the perceptual models predict production learning. Other issues concern how the perceptual and articulatory systems develop for infants exposed to more than one language. Do multiple perceptual spaces develop, or does one space accommodate both languages? For infants exposed to just one language, but living in an environment where the ambient and pedagogical language is different (say, infants in a monolingual Spanish home in the U.S.), early language learning fosters learning the native language, but it may impede learning the ambient language. How much or how little does early exposure to the ambient language allow development of perceptual and articulatory systems for the ambient language? A final issue addresses whether the emergence of lexical, morphological and/or syntactic abilities in the second year is related to further changes in speech perception and production. [Work supported by NICHD.

Prespeech motor learning in a neural network using reinforcement.

PubMed

Warlaumont, Anne S; Westermann, Gert; Buder, Eugene H; Oller, D Kimbrough

2013-02-01

Vocal motor development in infancy provides a crucial foundation for language development. Some significant early accomplishments include learning to control the process of phonation (the production of sound at the larynx) and learning to produce the sounds of one's language. Previous work has shown that social reinforcement shapes the kinds of vocalizations infants produce. We present a neural network model that provides an account of how vocal learning may be guided by reinforcement. The model consists of a self-organizing map that outputs to muscles of a realistic vocalization synthesizer. Vocalizations are spontaneously produced by the network. If a vocalization meets certain acoustic criteria, it is reinforced, and the weights are updated to make similar muscle activations increasingly likely to recur. We ran simulations of the model under various reinforcement criteria and tested the types of vocalizations it produced after learning in the different conditions. When reinforcement was contingent on the production of phonated (i.e. voiced) sounds, the network's post-learning productions were almost always phonated, whereas when reinforcement was not contingent on phonation, the network's post-learning productions were almost always not phonated. When reinforcement was contingent on both phonation and proximity to English vowels as opposed to Korean vowels, the model's post-learning productions were more likely to resemble the English vowels and vice versa. Copyright © 2012 Elsevier Ltd. All rights reserved.

Identifying Common Practice Elements to Improve Social, Emotional, and Behavioral Outcomes of Young Children in Early Childhood Classrooms.

PubMed

McLeod, Bryce D; Sutherland, Kevin S; Martinez, Ruben G; Conroy, Maureen A; Snyder, Patricia A; Southam-Gerow, Michael A

2017-02-01

Educators are increasingly being encouraged to implement evidence-based interventions and practices to address the social, emotional, and behavioral needs of young children who exhibit problem behavior in early childhood settings. Given the nature of social-emotional learning during the early childhood years and the lack of a common set of core evidence-based practices within the early childhood literature, selection of instructional practices that foster positive social, emotional, and behavioral outcomes for children in early childhood settings can be difficult. The purpose of this paper is to report findings from a study designed to identify common practice elements found in comprehensive intervention models (i.e., manualized interventions that include a number of components) or discrete practices (i.e., a specific behavior or action) designed to target social, emotional, and behavioral learning of young children who exhibit problem behavior. We conducted a systematic review of early childhood classroom interventions that had been evaluated in randomized group designs, quasi-experimental designs, and single-case experimental designs. A total of 49 published articles were identified, and an iterative process was used to identify common practice elements. The practice elements were subsequently reviewed by experts in social-emotional and behavioral interventions for young children. Twenty-four practice elements were identified and classified into content (the goal or general principle that guides a practice element) and delivery (the way in which a teacher provides instruction to the child) categories. We discuss implications that the identification of these practice elements found in the early childhood literature has for efforts to implement models and practices.

Semantic facilitation in bilingual first language acquisition.

PubMed

Bilson, Samuel; Yoshida, Hanako; Tran, Crystal D; Woods, Elizabeth A; Hills, Thomas T

2015-07-01

Bilingual first language learners face unique challenges that may influence the rate and order of early word learning relative to monolinguals. A comparison of the productive vocabularies of 435 children between the ages of 6 months and 7 years-181 of which were bilingual English learners-found that monolinguals learned both English words and all-language concepts faster than bilinguals. However, bilinguals showed an enhancement of an effect previously found in monolinguals-the preference for learning words with more associative cues. Though both monolinguals and bilinguals were best fit by a similar model of word learning, semantic network structure and growth indicated that the two groups were learning English words in a different order. Further, in comparison with a model of two-monolinguals-in-one-mind, bilinguals overproduced translational equivalents. Our results support an emergent account of bilingual first language acquisition, where learning a word in one language facilitates its acquisition in a second language. Copyright © 2015 Elsevier B.V. All rights reserved.

Role models and professional development in dentistry: an important resource: The views of early career stage dentists at one academic health science centre in England.

PubMed

Mohamed Osama, O; Gallagher, J E

2018-02-01

The importance of role models, and their differing influence in early, mid- and late careers, has been identified in the process of professional development of medical doctors. There is a paucity of evidence within dentistry on role models and their attributes. To explore the views of early career dentists on positive and negative role models across key phases of professional development, together with role models' attributes and perceived influence. This is a phenomenological study collecting qualitative data through semi-structured interviews based on a topic guide. Dentists in junior (core training) hospital posts in one academic health science centre were all invited to participate. Interviews were recorded, transcribed verbatim and analysed using framework analysis. Twelve early career stage dentists, 10 of whom were female, reported having role models, mainly positive, in their undergraduate and early career phases. Participants defined role models' attributes in relation to three distinct domains: clinical attributes, personal qualities and teaching skills. Positive role models were described as "prioritising the patient's best interests", "delivering learner-centred teaching and training" and "exhibiting a positive personality", whilst negative role models demonstrated the converse. Early career dentists reported having largely positive dentist role models during- and post-dental school and report their impact on professional values and aspirations, learning outcomes and career choice. The findings suggest that these early career dentists in junior hospital posts have largely experienced and benefitted from positive role models, notably dentists, perceived as playing an important and creative influence promoting professionalism and shaping the career choices of early career stage dentists. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Early numeracy skills in preschool-aged children: a review of neurocognitive findings and implications for assessment and intervention.

PubMed

Raghubar, Kimberly P; Barnes, Marcia A

2017-02-01

The goals are to (1) provide a review of the typical and atypical development of early numeracy; (2) present what is known about the neurocognitive underpinnings of early numeracy; and (3) discuss the implications for early assessment and intervention. Studies on the development of typical and atypical early numeracy are reviewed with a particular focus on longitudinal findings including those from our work on spina bifida myelomeningocele. Implications of this research for assessment are presented. The paper ends with a discussion of early math interventions. Learning to count, identify numbers, and compare and manipulate quantities are key early numeracy skills. These are powerful predictors of school-age mathematical learning and performance. General neurocognitive abilities such as working memory and language, are also important for the development of early numeracy. It is recommended that early assessment for risk of mathematical learning difficulties include tests of both early number knowledge and key neurocognitive abilities. Math-specific interventions are most effective for improving early numeracy. There is currently little evidence that training of general cognitive functions transfers to mathematical learning. Understanding the development of early numeracy skills and their neurocognitive predictors offer important insights into early assessment and intervention for children at risk for or with mathematical learning difficulties.

Developmental song learning as a model to understand neural mechanisms that limit and promote the ability to learn.

PubMed

London, Sarah E

2017-11-20

Songbirds famously learn their vocalizations. Some species can learn continuously, others seasonally, and still others just once. The zebra finch (Taeniopygia guttata) learns to sing during a single developmental "Critical Period," a restricted phase during which a specific experience has profound and permanent effects on brain function and behavioral patterns. The zebra finch can therefore provide fundamental insight into features that promote and limit the ability to acquire complex learned behaviors. For example, what properties permit the brain to come "on-line" for learning? How does experience become encoded to prevent future learning? What features define the brain in receptive compared to closed learning states? This piece will focus on epigenomic, genomic, and molecular levels of analysis that operate on the timescales of development and complex behavioral learning. Existing data will be discussed as they relate to Critical Period learning, and strategies for future studies to more directly address these questions will be considered. Birdsong learning is a powerful model for advancing knowledge of the biological intersections of maturation and experience. Lessons from its study not only have implications for understanding developmental song learning, but also broader questions of learning potential and the enduring effects of early life experience on neural systems and behavior. Copyright © 2017. Published by Elsevier B.V.

75 FR 20830 - Early Learning

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-21

... meetings and written submissions, is seeking input from State agencies responsible for early learning and... intervention service providers and other providers of services to young children), students, technical... receive all written submissions of comments on the four early learning topics on or before 5 p.m...

Longitudinal models of reading achievement of students with learning disabilities and without disabilities.

PubMed

Sullivan, Amanda L; Kohli, Nidhi; Farnsworth, Elyse M; Sadeh, Shanna; Jones, Leila

2017-09-01

Accurate estimation of developmental trajectories can inform instruction and intervention. We compared the fit of linear, quadratic, and piecewise mixed-effects models of reading development among students with learning disabilities relative to their typically developing peers. We drew an analytic sample of 1,990 students from the nationally representative Early Childhood Longitudinal Study-Kindergarten Cohort of 1998, using reading achievement scores from kindergarten through eighth grade to estimate three models of students' reading growth. The piecewise mixed-effects models provided the best functional form of the students' reading trajectories as indicated by model fit indices. Results showed slightly different trajectories between students with learning disabilities and without disabilities, with varying but divergent rates of growth throughout elementary grades, as well as an increasing gap over time. These results highlight the need for additional research on appropriate methods for modeling reading trajectories and the implications for students' response to instruction. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Blind Babies Play Program: A Model for Affordable, Sustainable Early Childhood Literacy Intervention through Play and Socialization

ERIC Educational Resources Information Center

Jacko, Virginia A.; Mayros, Roxann; Brady-Simmons, Carol; Chica, Isabel; Moore, J. Elton

2013-01-01

The Miami Lighthouse, in its 81 years of service to persons who are visually impaired (that is, those who are blind or have low vision), has adapted to meet the ever-changing needs of clients of all ages. To meet the significant needs of visually impaired children--more than 80% of early learning is visual (Blind Babies Foundation, 2012)--the…

The Organisation for Economic Co-Operation and Development's International Early Learning Study: Opening for Debate and Contestation

ERIC Educational Resources Information Center

Moss, Peter; Dahlberg, Gunilla; Grieshaber, Susan; Mantovani, Susanna; May, Helen; Pence, Alan; Rayna, Sylvie; Swadener, Beth Blue; Vandenbroeck, Michel

2016-01-01

The Organisation for Economic Co-operation and Development is initiating the International Early Learning Study, a cross-national assessment of early learning outcomes involving the testing of 5-year-old children in participating countries. The authors use this colloquium to inform members of the early childhood community about this project and to…

75 FR 70931 - Proposed Information Collection Activity; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-11-19

... Information Collection Activity; Comment Request Title: Evaluation of Head Start Early Learning Mentor Coach... implementation evaluation of the Head Start Early Learning Mentor-Coach Initiative. The study will collect... awarded funds under the American Recovery and Reinvestment Act of 2009--Early Learning Mentor Coach...

What Is Quality Preschool? Fact Sheet

ERIC Educational Resources Information Center

Advocates for Children of New Jersey, 2010

2010-01-01

Children need quality early learning programs. This can be a child care center, a preschool or a Head Start program. Not all early learning programs provide the high quality children need. This paper presents questions that should be considered when looking for an early learning program.

Language-Independent and Language-Specific Aspects of Early Literacy: An Evaluation of the Common Underlying Proficiency Model.

PubMed

Goodrich, J Marc; Lonigan, Christopher J

2017-08-01

According to the common underlying proficiency model (Cummins, 1981), as children acquire academic knowledge and skills in their first language, they also acquire language-independent information about those skills that can be applied when learning a second language. The purpose of this study was to evaluate the relevance of the common underlying proficiency model for the early literacy skills of Spanish-speaking language-minority children using confirmatory factor analysis. Eight hundred fifty-eight Spanish-speaking language-minority preschoolers (mean age = 60.83 months, 50.2% female) participated in this study. Results indicated that bifactor models that consisted of language-independent as well as language-specific early literacy factors provided the best fits to the data for children's phonological awareness and print knowledge skills. Correlated factors models that only included skills specific to Spanish and English provided the best fits to the data for children's oral language skills. Children's language-independent early literacy skills were significantly related across constructs and to language-specific aspects of early literacy. Language-specific aspects of early literacy skills were significantly related within but not across languages. These findings suggest that language-minority preschoolers have a common underlying proficiency for code-related skills but not language-related skills that may allow them to transfer knowledge across languages.

Precursor model and preschool science learning about shadows formation

NASA Astrophysics Data System (ADS)

Delserieys, Alice; Jégou, Corinne; Boilevin, Jean-Marie; Ravanis, Konstantinos

2018-04-01

This work is based on the idea that young children benefit from early introduction of scientific concepts. Few researches describe didactical strategies focusing on physics understanding for young children and analyse their effectiveness in standard classroom environments.

Reciprocal Effects of Self-Regulation, Semantic Knowledge, and Reading Comprehension in Early Elementary School

PubMed Central

Connor, Carol McDonald; Day, Stephanie L.; Phillips, Beth; Sparapani, Nicole; Ingebrand, Sarah W.; McLean, Leigh; Barrus, Angela; Kaschak, Michael P.

2016-01-01

Many assume that cognitive and linguistic processes, such as semantic knowledge (SK) and self-regulation (SR) subserve learned skills like reading. However, complex models of interacting and bootstrapping effects of SK, SR, instruction, and reading hypothesize reciprocal effects. Testing this “lattice” model with children (n = 852) followed from 1st–2nd grade (5.9–10.4 years-of-age), revealed reciprocal effects for reading and SR, and reading and SK, but not SR and SK. More effective literacy instruction reduced reading stability over time. Findings elucidate the synergistic and reciprocal effects of learning to read on other important linguistic, self-regulatory, and cognitive processes, the value of using complex models of development to inform intervention design, and how learned skills may influence development during middle childhood. PMID:27264645

Formal and informal home learning activities in relation to children's early numeracy and literacy skills: the development of a home numeracy model.

PubMed

Skwarchuk, Sheri-Lynn; Sowinski, Carla; LeFevre, Jo-Anne

2014-05-01

The purpose of this study was to propose and test a model of children's home numeracy experience based on Sénéchal and LeFevre's home literacy model (Child Development, 73 (2002) 445-460). Parents of 183 children starting kindergarten in the fall (median child age=58 months) completed an early home learning experiences questionnaire. Most of the children whose parents completed the questionnaire were recruited for numeracy and literacy testing 1 year later (along with 32 children from the inner city). Confirmatory factor analyses were used to reduce survey items, and hierarchical regression analyses were used to predict the relation among parents' attitudes, academic expectations for their children, reports of formal and informal numeracy, and literacy home practices on children's test scores. Parental reports of formal home numeracy practices (e.g., practicing simple sums) predicted children's symbolic number system knowledge, whereas reports of informal exposure to games with numerical content (measured indirectly through parents' knowledge of children's games) predicted children's non-symbolic arithmetic, as did numeracy attitudes (e.g., parents' enjoyment of numeracy). The home literacy results replicated past findings; parental reports of formal literacy practices (e.g., helping their children to read words) predicted children's word reading, whereas reports of informal experiences (i.e., frequency of shared reading measured indirectly through parents' storybook knowledge) predicted children's vocabulary. These findings support a multifaceted model of children's early numeracy environment, with different types of early home experiences (formal and informal) predicting different numeracy outcomes. Copyright © 2013 Elsevier Inc. All rights reserved.

Applying active learning to supervised word sense disambiguation in MEDLINE.

PubMed

Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua

2013-01-01

This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models.

Applying active learning to supervised word sense disambiguation in MEDLINE

PubMed Central

Chen, Yukun; Cao, Hongxin; Mei, Qiaozhu; Zheng, Kai; Xu, Hua

2013-01-01

Objectives This study was to assess whether active learning strategies can be integrated with supervised word sense disambiguation (WSD) methods, thus reducing the number of annotated samples, while keeping or improving the quality of disambiguation models. Methods We developed support vector machine (SVM) classifiers to disambiguate 197 ambiguous terms and abbreviations in the MSH WSD collection. Three different uncertainty sampling-based active learning algorithms were implemented with the SVM classifiers and were compared with a passive learner (PL) based on random sampling. For each ambiguous term and each learning algorithm, a learning curve that plots the accuracy computed from the test set as a function of the number of annotated samples used in the model was generated. The area under the learning curve (ALC) was used as the primary metric for evaluation. Results Our experiments demonstrated that active learners (ALs) significantly outperformed the PL, showing better performance for 177 out of 197 (89.8%) WSD tasks. Further analysis showed that to achieve an average accuracy of 90%, the PL needed 38 annotated samples, while the ALs needed only 24, a 37% reduction in annotation effort. Moreover, we analyzed cases where active learning algorithms did not achieve superior performance and identified three causes: (1) poor models in the early learning stage; (2) easy WSD cases; and (3) difficult WSD cases, which provide useful insight for future improvements. Conclusions This study demonstrated that integrating active learning strategies with supervised WSD methods could effectively reduce annotation cost and improve the disambiguation models. PMID:23364851

Achieving Developmental Synchrony in Young Children With Hearing Loss

PubMed Central

Mellon, Nancy K.; Ouellette, Meredith; Greer, Tracy; Gates-Ulanet, Patricia

2009-01-01

Children with hearing loss, with early and appropriate amplification and intervention, demonstrate gains in speech, language, and literacy skills. Despite these improvements many children continue to exhibit disturbances in cognitive, behavioral, and emotional control, self-regulation, and aspects of executive function. Given the complexity of developmental learning, educational settings should provide services that foster the growth of skills across multiple dimensions. Transdisciplinary intervention services that target the domains of language, communication, psychosocial functioning, motor, and cognitive development can promote academic and social success. Educational programs must provide children with access to the full range of basic skills necessary for academic and social achievement. In addition to an integrated curriculum that nurtures speech, language, and literacy development, innovations in the areas of auditory perception, social emotional learning, motor development, and vestibular function can enhance student outcomes. Through ongoing evaluation and modification, clearly articulated curricular approaches can serve as a model for early intervention and special education programs. The purpose of this article is to propose an intervention model that combines best practices from a variety of disciplines that affect developmental outcomes for young children with hearing loss, along with specific strategies and approaches that may help to promote optimal development across domains. Access to typically developing peers who model age-appropriate skills in language and behavior, small class sizes, a co-teaching model, and a social constructivist perspective of teaching and learning, are among the key elements of the model. PMID:20150187

Solid-State Lighting. Early Lessons Learned on the Way to Market

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

Sandahl, L. J.; Cort, K. A.; Gordon, K. L.

2014-01-01

Analysis of issues and lessons learned during the early stages of solid-state lighting market introduction in the U.S., which also summarizes early actions taken to avoid potential problems anticipated based on lessons learned from the market introduction of compact fluorescent lamps.

Developmental origins of disruptive behaviour problems: the 'original sin' hypothesis, epigenetics and their consequences for prevention.

PubMed

Tremblay, Richard E

2010-04-01

This paper reviews publications on developmental trajectories of disruptive behaviour (DB) problems (aggression, opposition-defiance, rule breaking, and stealing-vandalism) over the past decade. Prior to these studies two theoretical models had strongly influenced research on DB: social learning and disease onset. According to these developmental perspectives, children learn DB from their environment and onset of the disease is triggered by accumulated exposition to disruptive models in the environment, including the media. Most of the evidence came from studies of school age children and adolescents. Longitudinal studies tracing developmental trajectories of DB from early childhood onwards suggest an inversed developmental process. DB are universal during early childhood. With age, children learn socially acceptable behaviours from interactions with their environment. A 'disease' status is given to children who fail to learn the socially acceptable behaviours. The mechanisms that lead to deficits in using socially accepted behaviours are strongly intergenerational, based on complex genetic and environmental contributions, including epigenetic mechanisms. Prevention of these deficits requires early, intensive and long-term support to parents and child. Newly discovered epigenetic mechanisms suggest that intensive perinatal interventions will have impacts on numerous aspects of physical and mental health, including DB. This review also concludes that: a) subtypes of disruptive behaviours should not be aggregated because they have different developmental trajectories and require specific corrective interventions; b) the overt-covert and destructive-nondestructive dimensions appear the most useful to create DB subtypes; c) overt DB onset before covert DB because the latter require more brain maturation; d) DB subtype taxonomies are more useful for clinicians than developmental taxonomies because the latter are post mortem diagnoses and clinicians' retrospective information is unreliable; e) we need large-scale collaborative preventive experimental interventions starting during early pregnancy to advance knowledge on causes and prevention of DB problems.

Nebraska Early Learning Guidelines for Ages Birth to 3: Nurturing the Development and Learning of Infants and Toddlers through Responsive Caregiving

ERIC Educational Resources Information Center

Nebraska Department of Education, 2006

2006-01-01

This resource provides information to assist parents, family members, early childhood teachers, caregivers, and other adults in promoting the learning and development of young children ages birth to three. It is a companion to the Nebraska Early Learning Guidelines for Ages 3 to 5, and uses the same format and domains of development. This…

Learning a Music Instrument in Early Childhood: What Can We Learn from Professional Musicians' Childhood Memories?

ERIC Educational Resources Information Center

Smith, Wyverne

2008-01-01

Professional early childhood educators are often asked for advice about whether or when a young child should learn to play a music instrument. Many educators who do not have a background in music education may not be confident in providing such advice. A range of overseas research has supported learning a music instrument in the early childhood…

The 3 "C" Design Model for Networked Collaborative E-Learning: A Tool for Novice Designers

ERIC Educational Resources Information Center

Bird, Len

2007-01-01

This paper outlines a model for online course design aimed at the mainstream majority of university academics rather than at the early adopters of technology. It has been developed from work at Coventry Business School where tutors have been called upon to design online modules for the first time. Like many good tools, the model's key strength is…

Language and Learning: A Practical Guide To Help with Planning Your Early Childhood Programme. Series of Caribbean Volunteer Publications, No. 12.

ERIC Educational Resources Information Center

Watkins, Anne

Language should be viewed as one of the most important areas of early childhood development and learning. This document was produced to assist early childhood educators in Grenada, Carriacou, and Petit Martinique with fostering early language learning. The guide should be viewed mainly as a supplement to be used in conjunction with national…

Comparing physical activity and sedentary time among overweight and nonoverweight preschoolers enrolled in early learning programs: a cross-sectional study.

PubMed

Tucker, Patricia; Maltby, Alana M; Burke, Shauna M; Vanderloo, Leigh M; Irwin, Jennifer D

2016-09-01

Establishing appropriate physical activity and sedentary behaviours during early childhood is important to ensure children accrue the many associated health benefits. While physical activity levels have been reported as low within early learning programs, little research has explored the physical activity and sedentary time of Canadian preschoolers classified as overweight within these facilities. The purpose of this study was to compare objectively measured physical activity and sedentary time among preschoolers classified as overweight and nonoverweight in early learning programs. Direct assessment of physical activity and sedentary time of 216 preschool-aged children was collected via Actical accelerometers during early learning hours, while body mass index percentile was calculated based on preschoolers' objectively measured height and weight. Results of three 3-way ANOVAs suggest that rates of moderate to vigorous physical activity, total physical activity, and sedentary time (p > 0.05) did not significantly differ based on weight status, sex, and type of early learning facility. This study is one of few that has examined differences in overweight and nonoverweight preschoolers' sedentary time, and adds to the limited research exploring physical activity levels among overweight and nonoverweight preschoolers during early learning hours. Given the high rates of sedentary time reported, programming within early learning facilities is necessary to support preschoolers, regardless of weight status, to achieve increased physical activity levels and decreased sedentary time.

How learning analytics can early predict under-achieving students in a blended medical education course.

PubMed

Saqr, Mohammed; Fors, Uno; Tedre, Matti

2017-07-01

Learning analytics (LA) is an emerging discipline that aims at analyzing students' online data in order to improve the learning process and optimize learning environments. It has yet un-explored potential in the field of medical education, which can be particularly helpful in the early prediction and identification of under-achieving students. The aim of this study was to identify quantitative markers collected from students' online activities that may correlate with students' final performance and to investigate the possibility of predicting the potential risk of a student failing or dropping out of a course. This study included 133 students enrolled in a blended medical course where they were free to use the learning management system at their will. We extracted their online activity data using database queries and Moodle plugins. Data included logins, views, forums, time, formative assessment, and communications at different points of time. Five engagement indicators were also calculated which would reflect self-regulation and engagement. Students who scored below 5% over the passing mark were considered to be potentially at risk of under-achieving. At the end of the course, we were able to predict the final grade with 63.5% accuracy, and identify 53.9% of at-risk students. Using a binary logistic model improved prediction to 80.8%. Using data recorded until the mid-course, prediction accuracy was 42.3%. The most important predictors were factors reflecting engagement of the students and the consistency of using the online resources. The analysis of students' online activities in a blended medical education course by means of LA techniques can help early predict underachieving students, and can be used as an early warning sign for timely intervention.

How Do Hunter-Gatherer Children Learn Subsistence Skills? : A Meta-Ethnographic Review.

PubMed

Lew-Levy, Sheina; Reckin, Rachel; Lavi, Noa; Cristóbal-Azkarate, Jurgi; Ellis-Davies, Kate

2017-12-01

Hunting and gathering is, evolutionarily, the defining subsistence strategy of our species. Studying how children learn foraging skills can, therefore, provide us with key data to test theories about the evolution of human life history, cognition, and social behavior. Modern foragers, with their vast cultural and environmental diversity, have mostly been studied individually. However, cross-cultural studies allow us to extrapolate forager-wide trends in how, when, and from whom hunter-gatherer children learn their subsistence skills. We perform a meta-ethnography, which allows us to systematically extract, summarize, and compare both quantitative and qualitative literature. We found 58 publications focusing on learning subsistence skills. Learning begins early in infancy, when parents take children on foraging expeditions and give them toy versions of tools. In early and middle childhood, children transition into the multi-age playgroup, where they learn skills through play, observation, and participation. By the end of middle childhood, most children are proficient food collectors. However, it is not until adolescence that adults (not necessarily parents) begin directly teaching children complex skills such as hunting and complex tool manufacture. Adolescents seek to learn innovations from adults, but they themselves do not innovate. These findings support predictive models that find social learning should occur before individual learning. Furthermore, these results show that teaching does indeed exist in hunter-gatherer societies. And, finally, though children are competent foragers by late childhood, learning to extract more complex resources, such as hunting large game, takes a lifetime.

A Case for Adapting and Applying Continuance Theory to Education: Understanding the Role of Student Feedback in Motivating Teachers to Persist with Including Digital Technologies in Learning

ERIC Educational Resources Information Center

Wright, Noeline

2015-01-01

In New Zealand schools, the adoption and persistent use of digital tools to aid learning is a growing but uneven, trend, often linked to the practices of early adopters and/or robust wifi infrastructure. The Technology Adoption Model is used internationally to gauge levels of uptake of technological tools, particularly in commerce and also in…

Why Not Start with Quarks? Teachers Investigate a Learning Unit on the Subatomic Structure of Matter with 12-Year-Olds

ERIC Educational Resources Information Center

Wiener, Gerfried J.; Schmeling, Sascha M.; Hopf, Martin

2017-01-01

This paper describes the second in a series of studies exploring the acceptance of the subatomic structure of matter by 12-year-olds. The studies focus on a novel learning unit introducing an atomic model from electrons down to quarks, which is aimed to be used at an early stage in the physics curriculum. Three features are fundamental to the…

Empirical Validation of Integrated Learning Performances for Hydrologic Phenomena: 3rd-Grade Students' Model-Driven Explanation-Construction

ERIC Educational Resources Information Center

Forbes, Cory T.; Zangori, Laura; Schwarz, Christina V.

2015-01-01

Water is a crucial topic that spans the K-12 science curriculum, including the elementary grades. Students should engage in the articulation, negotiation, and revision of model-based explanations about hydrologic phenomena. However, past research has shown that students, particularly early learners, often struggle to understand hydrologic…

Head Start Classroom Teachers' and Assistant Teachers' Perceptions of Professional Development Using a Learn Framework

ERIC Educational Resources Information Center

Nasser, Ilham; Kidd, Julie K.; Burns, M. Susan; Campbell, Trina

2015-01-01

This study investigates early childhood education teachers' and assistant teachers' views about a year-long professional development model that focuses on developing intentional teaching. The study shares the results of interviews conducted with the teachers at the end of the implementation of a one-year experimental professional model in Head…

Response to the Colloquium "The Organisation for Economic Co-Operation and Development's International Early Learning Study: Opening for Debate and Contestation", by Peter Moss, Gunilla Dahlberg, Susan Grieshaber, Susanna Mantovani, Helen May, Alan Pence, Sylvie Rayna, Beth Blue Swadener and Michel Vandenbroeck, "Contemporary Issues in Early Childhood" 17(3)

ERIC Educational Resources Information Center

Mackey, Glynne; Hill, Diti; De Vocht, Lia

2016-01-01

In this article, the authors opine that the introduction of an international assessment of children's early learning, such as proposed by the OECD with its planned International Early Learning Study, will shift the emphasis away from pedagogies which focus on that which is meaningful and relevant in children's lives and their learning, to an…

Influences of early child nutritional status and home learning environment on child development in Vietnam.

PubMed

Nguyen, Phuong H; DiGirolamo, Ann M; Gonzalez-Casanova, Ines; Young, Melissa; Kim, Nicole; Nguyen, Son; Martorell, Reynaldo; Ramakrishnan, Usha

2018-01-01

Early childhood development plays a key role in a child's future health, educational success, and economic status. However, suboptimal early development remains a global challenge. This study examines the influences of quality of the home learning environment (HOME) and child stunting in the first year of life on child development. We used data collected from a randomized controlled trial of preconceptional micronutrient supplementation in Vietnam (n = 1,458). The Bayley Scales of Infant Development-III were used to assess cognition, language, and motor development domains at 2 years. At 1 year, 14% of children were stunted, and 15%, 58%, and 28% of children lived in poor, medium, and high HOME environments, respectively. In multivariate generalized linear regression models, living in a high HOME environment was significantly associated with higher scores (0.10 to 0.13 SD) in each of the developmental domains. Stunted children scored significantly lower for cognitive, language, and motor development (-0.11 to -0.18), compared to nonstunted children. The negative associations between stunting on development were modified by HOME; the associations were strong among children living in homes with a poor learning environment whereas they were nonsignificant for those living in high-quality learning environments. In conclusion, child stunting the first year of life was negatively associated with child development at 2 years among children in Vietnam, but a high-quality HOME appeared to attenuate these associations. Early interventions aimed at improving early child growth as well as providing a stimulating home environment are critical to ensure optimal child development. © 2017 John Wiley & Sons Ltd.

Beyond Developmentalism? Early Childhood Teachers' Understandings of Multiage Grouping in Early Childhood Education and Care

ERIC Educational Resources Information Center

Edwards, Susan; Blaise, Mindy; Hammer, Marie

2009-01-01

Postdevelopmental perspectives in early childhood education and care increasingly reference alternative ways of understanding learning, growth and development in early learning. Drawing on these ideas, this paper examines research findings which focused on early childhood teachers' understandings of multiage grouping. The findings suggested that…

Perceptual learning effect on decision and confidence thresholds.

PubMed

Solovey, Guillermo; Shalom, Diego; Pérez-Schuster, Verónica; Sigman, Mariano

2016-10-01

Practice can enhance of perceptual sensitivity, a well-known phenomenon called perceptual learning. However, the effect of practice on subjective perception has received little attention. We approach this problem from a visual psychophysics and computational modeling perspective. In a sequence of visual search experiments, subjects significantly increased the ability to detect a "trained target". Before and after training, subjects performed two psychophysical protocols that parametrically vary the visibility of the "trained target": an attentional blink and a visual masking task. We found that confidence increased after learning only in the attentional blink task. Despite large differences in some observables and task settings, we identify common mechanisms for decision-making and confidence. Specifically, our behavioral results and computational model suggest that perceptual ability is independent of processing time, indicating that changes in early cortical representations are effective, and learning changes decision criteria to convey choice and confidence. Copyright © 2016 Elsevier Inc. All rights reserved.

The Pediatrician's Role in Optimizing School Readiness.

PubMed

2016-09-01

School readiness includes not only the early academic skills of children but also their physical health, language skills, social and emotional development, motivation to learn, creativity, and general knowledge. Families and communities play a critical role in ensuring children's growth in all of these areas and thus their readiness for school. Schools must be prepared to teach all children when they reach the age of school entry, regardless of their degree of readiness. Research on early brain development emphasizes the effects of early experiences, relationships, and emotions on creating and reinforcing the neural connections that are the basis for learning. Pediatricians, by the nature of their relationships with families and children, may significantly influence school readiness. Pediatricians have a primary role in ensuring children's physical health through the provision of preventive care, treatment of illness, screening for sensory deficits, and monitoring nutrition and growth. They can promote and monitor the social-emotional development of children by providing anticipatory guidance on development and behavior, by encouraging positive parenting practices, by modeling reciprocal and respectful communication with adults and children, by identifying and addressing psychosocial risk factors, and by providing community-based resources and referrals when warranted. Cognitive and language skills are fostered through timely identification of developmental problems and appropriate referrals for services, including early intervention and special education services; guidance regarding safe and stimulating early education and child care programs; and promotion of early literacy by encouraging language-rich activities such as reading together, telling stories, and playing games. Pediatricians are also well positioned to advocate not only for children's access to health care but also for high-quality early childhood education and evidence-based family supports such as home visits, which help provide a foundation for optimal learning. Copyright © 2016 by the American Academy of Pediatrics.

Reflective Processes: A Qualitative Study Exploring Early Learning Student Teacher Mentoring Experiences in Student Teaching Practicums

ERIC Educational Resources Information Center

Barnes, Michelle M.

2013-01-01

This doctoral thesis explored mentoring in early learning teacher preparation programs. This study explored the reflective processes embedded in the work between student teachers and their mentors during early learning student teacher experiences at Washington State community and technical colleges. Schon's (1987a) concepts of…

78 FR 53991 - Applications for New Awards; Race to the Top-Early Learning Challenge

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-30

... gaps for Children with High Needs.\\1\\ This program focuses on improving early learning and development... disadvantaged children in each age group of infants, toddlers, and preschoolers who are enrolled in high-quality... implement an integrated system of high-quality Early Learning and Development Programs and services. \\1...

Alberta Learning: Early Development Instrument Pilot Project Evaluation.

ERIC Educational Resources Information Center

Meaney, Wanda; Harris-Lorenze, Elayne

The Early Development Instrument (EDI) was designed by McMaster University to measure the outcomes of childrens early years as they influence their readiness to learn at school. The EDI was piloted in several Canadian cities in recent years through two national initiatives. Building on these initiatives, Alberta Learning piloted the EDI as a…

Traces of an Early Learned Second Language in Discontinued Bilingualism

ERIC Educational Resources Information Center

Sadat, Jasmin; Pureza, Rita; Alario, F.-Xavier

2016-01-01

Can an early learned second language influence speech production after living many years in an exclusively monolingual environment? To address this issue, we investigated the consequences of discontinued early bilingualism in heritage speakers who moved abroad and switched language dominance from the second to the primary learned language. We used…

Joy in Learning: Making It Happen in Early Childhood Classes. NEA Early Childhood Education Series.

ERIC Educational Resources Information Center

Burton, Leon H.

A premise of this book for teachers of young children is that all learning should be challenging, interesting, and enjoyable. Chapters include: (1) A Philosophy for Early Education (concerning the nature of young children, learning contexts, societal expectations); (2) Child Development (concerning independence, self-esteem, cooperative…

How to Educate Children for Sustainable Learning and for a Sustainable World

ERIC Educational Resources Information Center

Samuelsson, Ingrid Pramling; Park, Eunhye

2017-01-01

This article discusses how early learning might be made sustainable for children. It considers the application of Goal 4 of the Sustainable Development Goals to early childhood education to ensure that inclusive and equitable quality education that promotes lifelong learning opportunities is available to all children. Early childhood practitioners…

Classroom Challenges in Developing an Intercultural Early Learning Program for Refugee Children

ERIC Educational Resources Information Center

Dachyshyn, Darcey; Kirova, Anna

2011-01-01

The project described here was aimed at piloting an intercultural, multilingual, early learning program that was genuinely responsive to the circumstances and early learning needs of preschool refugee children and parents from three ethnocultural communities--Somali, Sudanese, and Kurdish--in a large city in Western Canada. We discuss the unique…

Parent Engagement in Early Learning: Strategies for Working with Families. Second Edition

ERIC Educational Resources Information Center

Powers, Julie

2016-01-01

This updated second edition of "Parent-Friendly Early Learning" brings to life real scenarios that care providers face in today's world. We know parent engagement is important for a child's success, but how do you turn parent-provider relationships into partnerships? "Parent Engagement in Early Learning" will help you: (1)…

Resources on Social and Emotional Development and Early Learning Standards. CEELO FastFacts

ERIC Educational Resources Information Center

Connors-Tadros, L.

2013-01-01

In this "FastFacts," a state's Department of Education requests information from the Center on Enhancing Early Learning Outcomes (CEELO) on how the research defines skills in social-emotional development, approaches to learning, and executive function, to inform planned revisions to the early childhood indicators of progress for children…

Visits to Cultural Learning Places in the Early Childhood

ERIC Educational Resources Information Center

Mudiappa, Michael; Kluczniok, Katharina

2015-01-01

Studies show the important role of the home learning environment in early childhood for later school success. This article focuses on a particular aspect of the home learning environment: visits to cultural learning places (e.g. museums) as a component of the quality of the home learning environment. Therefore the educational concept of…

Early deprivation disruption of associative learning is a developmental pathway to depression and social problems.

PubMed

Sheridan, Margaret A; McLaughlin, Katie A; Winter, Warren; Fox, Nathan; Zeanah, Charles; Nelson, Charles A

2018-06-07

Exposure to psychosocial deprivation is associated with elevations in numerous forms of impairment throughout the life-course. Disruptions in associative learning may be a key mechanism through which adversity, particularly psychosocial deprivation, increases risk for impairment. Existing data consistent with this claim come entirely from correlational studies. Here, we present the first experimental evidence relating psychosocial deprivation and disruptions in multiple forms of associative learning. Using data from the Bucharest Early Intervention Project, we demonstrate that randomized placement into a family caregiving environment during the infant/toddler period as compared to prolonged institutional care normalizes two forms of associative learning in early adolescence: reward responsivity and implicit motor learning. These forms of associative learning significantly mediate the effect of institutional rearing on depressive symptoms and peer relationships. In sum, we provide evidence for a novel pathway linking early experience to psychopathology and peer relationships through basic associative learning mechanisms.

Prediction and early detection of delirium in the intensive care unit by using heart rate variability and machine learning.

PubMed

Oh, Jooyoung; Cho, Dongrae; Park, Jaesub; Na, Se Hee; Kim, Jongin; Heo, Jaeseok; Shin, Cheung Soo; Kim, Jae-Jin; Park, Jin Young; Lee, Boreom

2018-03-27

Delirium is an important syndrome found in patients in the intensive care unit (ICU), however, it is usually under-recognized during treatment. This study was performed to investigate whether delirious patients can be successfully distinguished from non-delirious patients by using heart rate variability (HRV) and machine learning. Electrocardiography data of 140 patients was acquired during daily ICU care, and HRV data were analyzed. Delirium, including its type, severity, and etiologies, was evaluated daily by trained psychiatrists. HRV data and various machine learning algorithms including linear support vector machine (SVM), SVM with radial basis function (RBF) kernels, linear extreme learning machine (ELM), ELM with RBF kernels, linear discriminant analysis, and quadratic discriminant analysis were utilized to distinguish delirium patients from non-delirium patients. HRV data of 4797 ECGs were included, and 39 patients had delirium at least once during their ICU stay. The maximum classification accuracy was acquired using SVM with RBF kernels. Our prediction method based on HRV with machine learning was comparable to previous delirium prediction models using massive amounts of clinical information. Our results show that autonomic alterations could be a significant feature of patients with delirium in the ICU, suggesting the potential for the automatic prediction and early detection of delirium based on HRV with machine learning.

The ampakine, Org 26576, bolsters early spatial reference learning and retrieval in the Morris water maze: a subchronic, dose-ranging study in rats.

PubMed

Hamlyn, Eugene; Brand, Linda; Shahid, Mohammed; Harvey, Brian H

2009-10-01

Ampakines have shown beneficial effects on cognition in selected animal models of learning. However, their ability to modify long-term spatial memory tasks has not been studied yet. This would lend credence to their possible value in treating disorders of cognition. We evaluated the actions of subchronic Org 26576 administration on spatial reference memory performance in the 5-day Morris water maze task in male Sprague-Dawley rats, at doses of 1, 3 and 10 mg/kg twice daily through intraperitoneal injection over 12 days. Org 26576 exerted a dose and time-dependent effect on spatial learning, with dosages of 3 and 10 mg/kg significantly enhancing acquisition on day 1. Globally, escape latency decreased significantly as the training days progressed in the saline and Org 26576-treated groups, indicating that significant and equal learning had taken place over the learning period. However, at the end of the learning period, all doses of Org 26576 significantly improved spatial memory storage/retrieval without confounding effects in the cued version of the task. Org 26576 offers early phase spatial memory benefits in rats, but particularly enhances search accuracy during reference memory retrieval. These results support its possible utility in treating disorders characterized by deficits in cognitive performance.

Exploring the Impact of TeachME™ Lab Virtual Classroom Teaching Simulation on Early Childhood Education Majors' Self-Efficacy Beliefs

NASA Astrophysics Data System (ADS)

Bautista, Nazan Uludag; Boone, William J.

2015-04-01

The purpose of this study was to investigate the impact of a mixed-reality teaching environment, called TeachME™ Lab (TML), on early childhood education majors' science teaching self-efficacy beliefs. Sixty-two preservice early childhood teachers participated in the study. Analysis of the quantitative (STEBI-b) and qualitative (journal entries) data revealed that personal science teaching efficacy and science teaching outcome expectancy beliefs increased significantly after one semester of participation in TML. Three key factors impacted preservice teachers' (PST) self-efficacy beliefs in the context of participation in TML: PSTs' perceptions of their science content knowledge, their familiarity with TML technology and avatars, and being observed by peers. Cognitive pedagogical mastery (TML practices), effective/actual modeling, cognitive self-modeling, and emotional arousal were the primary sources that increased the PSTs' perceived self-efficacy beliefs. Overall, the results of this study suggest that the TML is a worthwhile technology for learning to teach in teacher education. It provides a way for PSTs to have a highly personalized learning experience that enables them to improve their understanding and confidence related to teaching science, so that ideally someday they may translate such an experience into their classroom practices.

Recognition of early stage thigmotaxis in Morris water maze test with convolutional neural network.

PubMed

Higaki, Akinori; Mogi, Masaki; Iwanami, Jun; Min, Li-Juan; Bai, Hui-Yu; Shan, Bao-Shuai; Kan-No, Harumi; Ikeda, Shuntaro; Higaki, Jitsuo; Horiuchi, Masatsugu

2018-01-01

The Morris water maze test (MWM) is a useful tool to evaluate rodents' spatial learning and memory, but the outcome is susceptible to various experimental conditions. Thigmotaxis is a commonly observed behavioral pattern which is thought to be related to anxiety or fear. This behavior is associated with prolonged escape latency, but the impact of its frequency in the early stage on the final outcome is not clearly understood. We analyzed swim path trajectories in male C57BL/6 mice with or without bilateral common carotid artery stenosis (BCAS) treatment. There was no significant difference in the frequencies of particular types of trajectories according to ischemic brain surgery. The mouse groups with thigmotaxis showed significantly prolonged escape latency and lower cognitive score on day 5 compared to those without thigmotaxis. As the next step, we made a convolutional neural network (CNN) model to recognize the swim path trajectories. Our model could distinguish thigmotaxis from other trajectories with 96% accuracy and specificity as high as 0.98. These results suggest that thigmotaxis in the early training stage is a predictive factor for impaired performance in MWM, and machine learning can detect such behavior easily and automatically.

Minding the gaps: literacy enhances lexical segmentation in children learning to read.

PubMed

Havron, Naomi; Arnon, Inbal

2017-11-01

Can emergent literacy impact the size of the linguistic units children attend to? We examined children's ability to segment multiword sequences before and after they learned to read, in order to disentangle the effect of literacy and age on segmentation. We found that early readers were better at segmenting multiword units (after controlling for age, cognitive, and linguistic variables), and that improvement in literacy skills between the two sessions predicted improvement in segmentation abilities. Together, these findings suggest that literacy acquisition, rather than age, enhanced segmentation. We discuss implications for models of language learning.

Reciprocal Effects of Self-Regulation, Semantic Knowledge, and Reading Comprehension in Early Elementary School.

PubMed

Connor, Carol McDonald; Day, Stephanie L; Phillips, Beth; Sparapani, Nicole; Ingebrand, Sarah W; McLean, Leigh; Barrus, Angela; Kaschak, Michael P

2016-11-01

Many assume that cognitive and linguistic processes, such as semantic knowledge (SK) and self-regulation (SR), subserve learned skills like reading. However, complex models of interacting and bootstrapping effects of SK, SR, instruction, and reading hypothesize reciprocal effects. Testing this "lattice" model with children (n = 852) followed from first to second grade (5.9-10.4 years of age) revealed reciprocal effects for reading and SR, and reading and SK, but not SR and SK. More effective literacy instruction reduced reading stability over time. Findings elucidate the synergistic and reciprocal effects of learning to read on other important linguistic, self-regulatory, and cognitive processes; the value of using complex models of development to inform intervention design; and how learned skills may influence development during middle childhood. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

Individual Differences in Achievement Goals among Young Children.

ERIC Educational Resources Information Center

Smiley, Patricia A.; Dweck, Carol S.

1994-01-01

Tested on preschoolers a goal-confidence model for older children that predicts achievement behavior during failure. Found that individual differences in achievement goals emerge very early. Children appeared to have developed a mechanism for selecting learning opportunities prior to formal school experience. (AA)

Lessons Learned from an Industry, Government and University Collaboration to Restore Stream Habitats and Mitigate Effects

NASA Astrophysics Data System (ADS)

Jones, Nicholas E.; Scrimgeour, Garry J.; Tonn, William M.

2017-01-01

Restoration ecologists conduct both basic and applied research using a diversity of funding and collaborative models. Over the last 17 years we have assessed the effectiveness of a stream compensation project in Canada's north, where an independent university-based research program was a condition of the regulatory approval process. This resulted in a non-traditional university-government-industry partnership. Here we share seven lessons that we learned from our collective experiences with the research partnership and use the Ekati diamond mine as a case study to illustrate and support lessons learned. Our advice includes opinions on the importance of: engaging collaborators early, defining roles and responsibilities, data sharing and standardization, the use of natural streams to set restoration targets, expect setbacks and surprises, treating restoration as an opportunity to experiment, and how to define success. Many of the lessons learned are broadly applicable to those whom embark on research collaborations among industry, universities, and consulting companies within a regulatory framework and may be of particular value to collaborators in early stages of their career.

Autism and the mirror neuron system: insights from learning and teaching

PubMed Central

Vivanti, Giacomo; Rogers, Sally J.

2014-01-01

Individuals with autism have difficulties in social learning domains which typically involve mirror neuron system (MNS) activation. However, the precise role of the MNS in the development of autism and its relevance to treatment remain unclear. In this paper, we argue that three distinct aspects of social learning are critical for advancing knowledge in this area: (i) the mechanisms that allow for the implicit mapping of and learning from others' behaviour, (ii) the motivation to attend to and model conspecifics and (iii) the flexible and selective use of social learning. These factors are key targets of the Early Start Denver Model, an autism treatment approach which emphasizes social imitation, dyadic engagement, verbal and non-verbal communication and affect sharing. Analysis of the developmental processes and treatment-related changes in these different aspects of social learning in autism can shed light on the nature of the neuropsychological mechanisms underlying social learning and positive treatment outcomes in autism. This knowledge in turn may assist in developing more successful pedagogic approaches to autism spectrum disorder. Thus, intervention research can inform the debate on relations among neuropsychology of social learning, the role of the MNS, and educational practice in autism. PMID:24778379

Autism and the mirror neuron system: insights from learning and teaching.

PubMed

Vivanti, Giacomo; Rogers, Sally J

2014-01-01

Individuals with autism have difficulties in social learning domains which typically involve mirror neuron system (MNS) activation. However, the precise role of the MNS in the development of autism and its relevance to treatment remain unclear. In this paper, we argue that three distinct aspects of social learning are critical for advancing knowledge in this area: (i) the mechanisms that allow for the implicit mapping of and learning from others' behaviour, (ii) the motivation to attend to and model conspecifics and (iii) the flexible and selective use of social learning. These factors are key targets of the Early Start Denver Model, an autism treatment approach which emphasizes social imitation, dyadic engagement, verbal and non-verbal communication and affect sharing. Analysis of the developmental processes and treatment-related changes in these different aspects of social learning in autism can shed light on the nature of the neuropsychological mechanisms underlying social learning and positive treatment outcomes in autism. This knowledge in turn may assist in developing more successful pedagogic approaches to autism spectrum disorder. Thus, intervention research can inform the debate on relations among neuropsychology of social learning, the role of the MNS, and educational practice in autism.

Utilizing a Collaborative Learning Model to Promote Early Extubation Following Infant Heart Surgery.

PubMed

Mahle, William T; Nicolson, Susan C; Hollenbeck-Pringle, Danielle; Gaies, Michael G; Witte, Madolin K; Lee, Eva K; Goldsworthy, Michelle; Stark, Paul C; Burns, Kristin M; Scheurer, Mark A; Cooper, David S; Thiagarajan, Ravi; Sivarajan, V Ben; Colan, Steven D; Schamberger, Marcus S; Shekerdemian, Lara S

2016-10-01

To determine whether a collaborative learning strategy-derived clinical practice guideline can reduce the duration of endotracheal intubation following infant heart surgery. Prospective and retrospective data collected from the Pediatric Heart Network in the 12 months pre- and post-clinical practice guideline implementation at the four sites participating in the collaborative (active sites) compared with data from five Pediatric Heart Network centers not participating in collaborative learning (control sites). Ten children's hospitals. Data were collected for infants following two-index operations: 1) repair of isolated coarctation of the aorta (birth to 365 d) and 2) repair of tetralogy of Fallot (29-365 d). There were 240 subjects eligible for the clinical practice guideline at active sites and 259 subjects at control sites. Development and application of early extubation clinical practice guideline. After clinical practice guideline implementation, the rate of early extubation at active sites increased significantly from 11.7% to 66.9% (p < 0.001) with no increase in reintubation rate. The median duration of postoperative intubation among active sites decreased from 21.2 to 4.5 hours (p < 0.001). No statistically significant change in early extubation rates was found in the control sites 11.7% to 13.7% (p = 0.63). At active sites, clinical practice guideline implementation had no statistically significant impact on median ICU length of stay (71.9 hr pre- vs 69.2 hr postimplementation; p = 0.29) for the entire cohort. There was a trend toward shorter ICU length of stay in the tetralogy of Fallot subgroup (71.6 hr pre- vs 54.2 hr postimplementation, p = 0.068). A collaborative learning strategy designed clinical practice guideline significantly increased the rate of early extubation with no change in the rate of reintubation. The early extubation clinical practice guideline did not significantly change postoperative ICU length of stay.

Value-Added Early Learning

ERIC Educational Resources Information Center

Dichter, Harriet

2011-01-01

Elected state leaders often prioritize economic prosperity and competitiveness, which provides an important opportunity too rarely taken for investing in early education. In 2003, Pennsylvania recognized the connection between early education and the economy, and smartly embraced early learning as part of its economic prosperity and…

Invisible to Visible: Mapping the Continuum of Literacy Learning Experiences in an Early Years Setting

ERIC Educational Resources Information Center

Kervin, Lisa; Turbill, Jan; Harden-Thew, Kathryn

2017-01-01

The face of early childhood education continues to change. In Australia, the national early childhood guidelines, "Early Years Learning Framework" (2009) and the "National Quality Framework" have articulated and defined the work of early years' educators in a range of areas, including literacy. Both frameworks state that their…

An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

PubMed

Rubin, Jonathan; Potes, Cristhian; Xu-Wilson, Minnan; Dong, Junzi; Rahman, Asif; Nguyen, Hiep; Moromisato, David

2018-04-01

Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the problem of predicting the transfer of pediatric patients from the general ward of a hospital to the pediatric intensive care unit. The development of a data-driven pediatric early deterioration indicator for use by clinicians with the purpose of predicting encounters where transfer from the general ward to the PICU is likely. Using data collected over 5.5 years from the electronic health records of two medical facilities, we develop machine learning classifiers based on adaptive boosting and gradient tree boosting. We further combine these learned classifiers into an ensemble model and compare its performance to a modified pediatric early warning score (PEWS) baseline that relies on expert defined guidelines. To gauge model generalizability, we perform an inter-facility evaluation where we train our algorithm on data from one facility and perform evaluation on a hidden test dataset from a separate facility. We show that improvements are witnessed over the modified PEWS baseline in accuracy (0.77 vs. 0.69), sensitivity (0.80 vs. 0.68), specificity (0.74 vs. 0.70) and AUROC (0.85 vs. 0.73). Data-driven, machine learning algorithms can improve PICU transfer prediction accuracy compared to expertly defined systems, such as a modified PEWS, but care must be taken in the training of such approaches to avoid inadvertently introducing bias into the outcomes of these systems. Copyright © 2018 Elsevier B.V. All rights reserved.

MRI morphometry of mamillary bodies, caudate nuclei, and prefrontal cortices after chemotherapy for childhood leukemia: multivariate models of early and late developing memory subsystems.

PubMed

Ciesielski, K T; Lesnik, P G; Benzel, E C; Hart, B L; Sanders, J A

1999-06-01

Neurotoxic intrathecal chemotherapy for childhood acute lymphoblastic leukemia (ALL) affects developing structures and functions of memory and learning subsystems selectively. Results show significant reductions in magnetic resonance imaging morphometry of mamillary bodies, components of the corticolimbic-diencephalic subsystem subserving functionally later developing, single-trial memory, nonsignificant changes in bilateral heads of the caudate nuclei, components of the corticostriatal subsystem subserving functionally earlier developing, multitrial learning, significant reductions in prefrontal cortical volume, visual and verbal single-trial memory deficits, and visuospatial, but not verbal, multitrial learning deficits. Multiple regression models provide evidence for partial dissociation and connectivity between the subsystems, and suggest that greater involvement of caudate may compensate for inefficient corticolimbic-diencephalic components.

The Variation in Student Achievement and Behavior within a Portfolio Management Model: Early Results from New Orleans

ERIC Educational Resources Information Center

McEachin, Andrew J.; Welsh, Richard Osbourne; Brewer, Dominic James

2016-01-01

A growing number of states experimented with alternative governance structures in response to pressure to raise student achievement. Post-Katrina experimentation in New Orleans was widely regarded as a model example of new governance reforms and provided a unique opportunity to learn about the variation in student achievement and behavior within…

Language-Independent and Language-Specific Aspects of Early Literacy: An Evaluation of the Common Underlying Proficiency Model

ERIC Educational Resources Information Center

Goodrich, J. Marc; Lonigan, Christopher J.

2017-01-01

According to the common underlying proficiency model (Cummins, 1981), as children acquire academic knowledge and skills in their first language, they also acquire language-independent information about those skills that can be applied when learning a second language. The purpose of this study was to evaluate the relevance of the common underlying…

Learning Methodology for Early Child Education Education (Paud) in the Recognition of Legal Capitals based on Android

NASA Astrophysics Data System (ADS)

Siswanto, Didik

2017-12-01

School as a place to study require a medium of learning. Instructional media containinginformation about the lessons that will be used by teachers to convey a lesson. School early childhood education Al-Kindy Pekanbaru interms of learning the letter hijaiyah still use conventional learning media. But with the conventionalmedia is not very attractive to use, so the need for an exciting learning medium that can make childrenbecome interested in learningThe purpose of this study was to create a Media Learning Introduction Letter Hijaiyahmultimedia form and benefit from the introduction of letters Hijaiyah Learning Media is a renewal of themedium of learning in School early childhood education Al-Kindy Pekanbaru.In this study the authors tried to make the learning application that contains the basicknowledge of letters hijaiyah dsertai with animation, audio and explanation how to read the letters inorder to complete the learning media letters hijaiyah more interactive.

Families' Perceptions of Early Childhood Educators' Fostering Conversations and Connections by Sharing Children's Learning through Pedagogical Documentation

ERIC Educational Resources Information Center

Reynolds, Bronwyn; Duff, Katia

2016-01-01

"Belonging, Being and Becoming: The Early Years Learning Framework for Australia" emphasises that families have an important role in their children's learning and it recognises that their earliest development is influenced through these relationships and adds that partnerships can be fostered with families by early childhood educators…

English Learners (ELs) and Early Learning. Fast Facts

ERIC Educational Resources Information Center

Office of English Language Acquisition, US Department of Education, 2015

2015-01-01

The Office of English Language Acquisition (OELA) and Office of Early Learning (OEL) has synthesized key data on English learners (ELs) and early learning into two-page PDF sheets, by topic, with graphics, plus key contacts. The topics for this report include: (1) State-funded preschool programs with highest percentage of ELs: Fall 2013; (2)…

Meeting the Early Learning Challenge: Supporting English Language Learners

ERIC Educational Resources Information Center

Matthews, Hannah

2011-01-01

The Race to The Top-Early Learning Challenge (RTT-ELC) is designed to improve the quality of early learning and development and close the achievement gap for children with high needs. The Departments of Education and Health and Human Services define high needs to include children who are English learners, often referred to as English Language…

Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition

ERIC Educational Resources Information Center

Engelthaler, Tomas; Hills, Thomas T.

2017-01-01

Do properties of a word's features influence the order of its acquisition in early word learning? Combining the principles of mutual exclusivity and shape bias, the present work takes a network analysis approach to understanding how feature distinctiveness predicts the order of early word learning. Distance networks were built from nouns with edge…

Prespeech motor learning in a neural network using reinforcement☆

PubMed Central

Warlaumont, Anne S.; Westermann, Gert; Buder, Eugene H.; Oller, D. Kimbrough

2012-01-01

Vocal motor development in infancy provides a crucial foundation for language development. Some significant early accomplishments include learning to control the process of phonation (the production of sound at the larynx) and learning to produce the sounds of one’s language. Previous work has shown that social reinforcement shapes the kinds of vocalizations infants produce. We present a neural network model that provides an account of how vocal learning may be guided by reinforcement. The model consists of a self-organizing map that outputs to muscles of a realistic vocalization synthesizer. Vocalizations are spontaneously produced by the network. If a vocalization meets certain acoustic criteria, it is reinforced, and the weights are updated to make similar muscle activations increasingly likely to recur. We ran simulations of the model under various reinforcement criteria and tested the types of vocalizations it produced after learning in the differ-ent conditions. When reinforcement was contingent on the production of phonated (i.e. voiced) sounds, the network’s post learning productions were almost always phonated, whereas when reinforcement was not contingent on phonation, the network’s post-learning productions were almost always not phonated. When reinforcement was contingent on both phonation and proximity to English vowels as opposed to Korean vowels, the model’s post-learning productions were more likely to resemble the English vowels and vice versa. PMID:23275137

African early childhood development curriculum and pedagogy for Turkana nomadic pastoralist communities of Kenya.

PubMed

Ng'asike, John T

2014-01-01

Western conceptions of child development and the models of early education they engender predominantly shape services for young children in the first eight years of life all over Africa. This chapter brings a reconceptualist perspective to the critique of Kenya's continuing failure to ground early childhood programs and services in local cultural conceptions, developmental values, childrearing practices, and the practical day-to-day realities of children's learning through participation and apprenticeship in the contexts of family routines, community experiences, and economic survival activities. The chapter draws on work I have conducted in nomadic pastoralist communities in Kenya. That research reveals the disconcerting reality that (a) early childhood education programs privilege Western pedagogical practices over equally effective and locally more relevant ones, and (b) local communities are increasingly resentful of an educational system that alienates their children from their cultural roots in the name of modernization. Asserting the educational value of indigenous knowledge, I present a framework for integrating that knowledge and the naturalistic learning processes in local contexts into instructional programs in formal ECE settings. © 2014 Wiley Periodicals, Inc.

Learning to associate orientation with color in early visual areas by associative decoded fMRI neurofeedback

PubMed Central

Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

2016-01-01

Summary Associative learning is an essential brain process where the contingency of different items increases after training. Associative learning has been found to occur in many brain regions [1-4]. However, there is no clear evidence that associative learning of visual features occurs in early visual areas, although a number of studies have indicated that learning of a single visual feature (perceptual learning) involves early visual areas [5-8]. Here, via decoded functional magnetic resonance imaging (fMRI) neurofeedback, termed “DecNef” [9], we tested whether associative learning of color and orientation can be created in early visual areas. During three days' training, DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was physically presented to participants. As a result, participants came to perceive “red” significantly more frequently than “green” in an achromatic vertical grating. This effect was also observed 3 to 5 months after the training. These results suggest that long-term associative learning of the two different visual features such as color and orientation was created most likely in early visual areas. This newly extended technique that induces associative learning is called “A(ssociative)-DecNef” and may be used as an important tool for understanding and modifying brain functions, since associations are fundamental and ubiquitous functions in the brain. PMID:27374335

Learning to Associate Orientation with Color in Early Visual Areas by Associative Decoded fMRI Neurofeedback.

PubMed

Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

2016-07-25

Associative learning is an essential brain process where the contingency of different items increases after training. Associative learning has been found to occur in many brain regions [1-4]. However, there is no clear evidence that associative learning of visual features occurs in early visual areas, although a number of studies have indicated that learning of a single visual feature (perceptual learning) involves early visual areas [5-8]. Here, via decoded fMRI neurofeedback termed "DecNef" [9], we tested whether associative learning of orientation and color can be created in early visual areas. During 3 days of training, DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was physically presented to participants. As a result, participants came to perceive "red" significantly more frequently than "green" in an achromatic vertical grating. This effect was also observed 3-5 months after the training. These results suggest that long-term associative learning of two different visual features such as orientation and color was created, most likely in early visual areas. This newly extended technique that induces associative learning is called "A-DecNef," and it may be used as an important tool for understanding and modifying brain functions because associations are fundamental and ubiquitous functions in the brain. Copyright © 2016 Elsevier Ltd. All rights reserved.

Longitudinal mathematics development of students with learning disabilities and students without disabilities: a comparison of linear, quadratic, and piecewise linear mixed effects models.

PubMed

Kohli, Nidhi; Sullivan, Amanda L; Sadeh, Shanna; Zopluoglu, Cengiz

2015-04-01

Effective instructional planning and intervening rely heavily on accurate understanding of students' growth, but relatively few researchers have examined mathematics achievement trajectories, particularly for students with special needs. We applied linear, quadratic, and piecewise linear mixed-effects models to identify the best-fitting model for mathematics development over elementary and middle school and to ascertain differences in growth trajectories of children with learning disabilities relative to their typically developing peers. The analytic sample of 2150 students was drawn from the Early Childhood Longitudinal Study - Kindergarten Cohort, a nationally representative sample of United States children who entered kindergarten in 1998. We first modeled students' mathematics growth via multiple mixed-effects models to determine the best fitting model of 9-year growth and then compared the trajectories of students with and without learning disabilities. Results indicate that the piecewise linear mixed-effects model captured best the functional form of students' mathematics trajectories. In addition, there were substantial achievement gaps between students with learning disabilities and students with no disabilities, and their trajectories differed such that students without disabilities progressed at a higher rate than their peers who had learning disabilities. The results underscore the need for further research to understand how to appropriately model students' mathematics trajectories and the need for attention to mathematics achievement gaps in policy. Copyright © 2015 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

Early onset marijuana use is associated with learning inefficiencies.

PubMed

Schuster, Randi Melissa; Hoeppner, Susanne S; Evins, A Eden; Gilman, Jodi M

2016-05-01

Verbal memory difficulties are the most widely reported and persistent cognitive deficit associated with early onset marijuana use. Yet, it is not known what memory stages are most impaired in those with early marijuana use. Forty-eight young adults, aged 18-25, who used marijuana at least once per week and 48 matched nonusing controls (CON) completed the California Verbal Learning Test, Second Edition (CVLT-II). Marijuana users were stratified by age of initial use: early onset users (EMJ), who started using marijuana at or before age 16 (n = 27), and late onset marijuana user group (LMJ), who started using marijuana after age 16 (n = 21). Outcome variables included trial immediate recall, total learning, clustering strategies (semantic clustering, serial clustering, ratio of semantic to serial clustering, and total number of strategies used), delayed recall, and percent retention. Learning improved with repetition, with no group effect on the learning slope. EMJ learned fewer words overall than LMJ or CON. There was no difference between LMJ and CON in total number of words learned. Reduced overall learning mediated the effect on reduced delayed recall among EMJ, but not CON or LMJ. Learning improved with greater use of semantic versus serial encoding, but this did not vary between groups. EMJ was not related to delayed recall after adjusting for encoding. Young adults reporting early onset marijuana use had learning weaknesses, which accounted for the association between early onset marijuana use and delayed recall. No amnestic effect of marijuana use was observed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Early Onset Marijuana Use Is Associated with Learning Inefficiencies

PubMed Central

Schuster, Randi Melissa; Hoeppner, Susanne S.; Evins, A. Eden; Gilman, Jodi M.

2016-01-01

Objective Verbal memory difficulties are the most widely reported and persistent cognitive deficit associated with early-onset marijuana use. Yet, it is not known what memory stages are most impaired in those with early marijuana use. Method Forty-eight young adults, aged 18–25, who used marijuana at least once per week and 48 matched non-using controls (CON) completed the California Verbal Learning Test, Second Edition (CVLT-II). Marijuana users were stratified by age of initial use: ‘early onset’ users (EMJ), who started using marijuana at or before age 16 (n = 27), and ‘late onset’ marijuana user group (LMJ), who started using marijuana after age 16 (n = 21). Outcome variables included trial immediate recall, total learning, clustering strategies (semantic clustering, serial clustering, ratio of semantic to serial clustering, and total number of strategies used), delayed recall, and percent retention. Results Learning improved with repetition, with no group effect on the learning slope. EMJ learned fewer words overall than LMJ or CON. There was no difference between LMJ and CON in total number of words learned. Reduced overall learning mediated the effect on reduced delayed recall among EMJ, but not CON or LMJ. Learning improved with greater use of semantic versus serial encoding, but this did not vary between groups. EMJ was not related to delayed recall after adjusting for encoding. Conclusions Young adults reporting early onset marijuana use had learning weaknesses, which accounted for the association between early onset marijuana use and delayed recall. No amnestic effect of marijuana use was observed. PMID:26986749

Potty Training: Learning to Use the Toilet

MedlinePlus

... All Early Learning Child Care Early Literacy Early Math and Science Language and Communication Play School Readiness ... right now. She will return to her previous level of potty training once things have gotten back ...

[Gender-dependent effects of histone deacetylase inhibitor sodium valproate on early olfactory learning in 129Sv mice].

PubMed

Burenkova, O V; Aleksandrova, E A; Zaraĭskaia, I Iu

2013-02-01

In the brain, histone acetylation underlies both learning and the maintenance of long-term sustained effects of early experience which is further epigenetically inherited. However, the role of acetylation in learning previously has only been studied in adult animals: high level of learning could be dependent on high levels of histone H3 acetylation in the brain. The role of acetylation in the mechanisms of early learning has not been studied. In the present work, we were interested whether histone deacetylase inhibitor sodium valproate which increases the level of histone H3 acetylation will affect early olfactory discrimination learning in 8-day-old pups of 129Sv mice that are characterized by low efficiency of learning with imitation of maternal grooming. Multiple valproate injections from 3rd to 6th postnatal day had a gender-dependent effect: learning was selectively improved in male but not in female pups. In the female pups, learning improvement was observed after multiple injections of saline. Possible epigenetic mechanisms underlying these sex differences are discussed.

Machine Learning Techniques for Prediction of Early Childhood Obesity.

PubMed

Dugan, T M; Mukhopadhyay, S; Carroll, A; Downs, S

2015-01-01

This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. Analyses of six different machine learning methods: RandomTree, RandomForest, J48, ID3, Naïve Bayes, and Bayes trained on CHICA data show that an accurate, sensitive model can be created. Of the methods analyzed, the ID3 model trained on the CHICA dataset proved the best overall performance with accuracy of 85% and sensitivity of 89%. Additionally, the ID3 model had a positive predictive value of 84% and a negative predictive value of 88%. The structure of the tree also gives insight into the strongest predictors of future obesity in children. Many of the strongest predictors seen in the ID3 modeling of the CHICA dataset have been independently validated in the literature as correlated with obesity, thereby supporting the validity of the model. This study demonstrated that data from a production clinical decision support system can be used to build an accurate machine learning model to predict obesity in children after age two.

EARLY LIFE EXPOSURES TO ENVIRONMENTAL COMPOUNDS: LESSONS LEARNED FROM ANIMAL MODELS

EPA Science Inventory

Abstract: This article was an invited submission by the Cornell University Breast Cancer & Environmental Risk Factors group, who publish the newsletter, The Ribbon. A recent paper on low dose effects of an atrazine metabolite mixture in Environmental Health Perspectives by the ...

Using Predictability for Lexical Segmentation

ERIC Educational Resources Information Center

Çöltekin, Çagri

2017-01-01

This study investigates a strategy based on predictability of consecutive sub-lexical units in learning to segment a continuous speech stream into lexical units using computational modeling and simulations. Lexical segmentation is one of the early challenges during language acquisition, and it has been studied extensively through psycholinguistic…

Innate colour preference, individual learning and memory retention in the ant Camponotus blandus.

PubMed

Yilmaz, Ayse; Dyer, Adrian G; Rössler, Wolfgang; Spaethe, Johannes

2017-09-15

Ants are a well-characterized insect model for the study of visual learning and orientation, but the extent to which colour vision is involved in these tasks remains unknown. We investigated the colour preference, learning and memory retention of Camponotus blandus foragers under controlled laboratory conditions. Our results show that C. blandus foragers exhibit a strong innate preference for ultraviolet (UV, 365 nm) over blue (450 nm) and green (528 nm) wavelengths. The ants can learn to discriminate 365 nm from either 528 nm or 450 nm, independent of intensity changes. However, they fail to discriminate between 450 nm and 528 nm. Modelling of putative colour spaces involving different numbers of photoreceptor types revealed that colour discrimination performance of individual ants is best explained by dichromacy, comprising a short-wavelength (UV) receptor with peak sensitivity at about 360 nm, and a long-wavelength receptor with peak sensitivity between 470 nm and 560 nm. Foragers trained to discriminate blue or green from UV light are able to retain the learned colour information in an early mid-term (e-MTM), late mid-term (l-MTM), early long-term (e-LTM) and late long-term (l-LTM) memory from where it can be retrieved after 1 h, 12 h, 24 h, 3 days and 7 days after training, indicating that colour learning may induce different memory phases in ants. Overall, our results show that ants can use chromatic information in a way that should promote efficient foraging in complex natural environments. © 2017. Published by The Company of Biologists Ltd.

Analyzing Teacher Narratives in Early Childhood Garden-Based Education

ERIC Educational Resources Information Center

Murakami, Christopher Daniel; Su-Russell, Chang; Manfra, Louis

2018-01-01

Learning gardens can provide dynamic learning and developmental experiences for young children. This case study of 12 early childhood teachers explores how teachers describe (1) learning across numerous school readiness domains and (2) how to support this learning by promoting opportunities for autonomy, relatedness, and competence. Participants…

A Learning Progressions Approach to Early Algebra Research and Practice

ERIC Educational Resources Information Center

Fonger, Nicole L.; Stephens, Ana; Blanton, Maria; Knuth, Eric

2015-01-01

We detail a learning progressions approach to early algebra research and how existing work around learning progressions and trajectories in mathematics and science education has informed our development of a four-component theoretical framework consisting of: a curricular progression of learning goals across big algebraic ideas; an instructional…

Close Early Learning Gaps with Rigorous DAP

ERIC Educational Resources Information Center

Brown, Christopher P.; Mowry, Brian

2015-01-01

Rigorous DAP (developmentally appropriate practices) is a set of 11 principles of instruction intended to help close early childhood learning gaps. Academically rigorous learning environments create the conditions for children to learn at high levels. While academic rigor focuses on one dimension of education--academic--DAP considers the whole…

Acquisition of Robotic Giant-swing Motion Using Reinforcement Learning and Its Consideration of Motion Forms

NASA Astrophysics Data System (ADS)

Sakai, Naoki; Kawabe, Naoto; Hara, Masayuki; Toyoda, Nozomi; Yabuta, Tetsuro

This paper argues how a compact humanoid robot can acquire a giant-swing motion without any robotic models by using Q-Learning method. Generally, it is widely said that Q-Learning is not appropriated for learning dynamic motions because Markov property is not necessarily guaranteed during the dynamic task. However, we tried to solve this problem by embedding the angular velocity state into state definition and averaging Q-Learning method to reduce dynamic effects, although there remain non-Markov effects in the learning results. The result shows how the robot can acquire a giant-swing motion by using Q-Learning algorithm. The successful acquired motions are analyzed in the view point of dynamics in order to realize a functionally giant-swing motion. Finally, the result shows how this method can avoid the stagnant action loop at around the bottom of the horizontal bar during the early stage of giant-swing motion.

Vertical transmission of learned signatures in a wild parrot

PubMed Central

Berg, Karl S.; Delgado, Soraya; Cortopassi, Kathryn A.; Beissinger, Steven R.; Bradbury, Jack W.

2012-01-01

Learned birdsong is a widely used animal model for understanding the acquisition of human speech. Male songbirds often learn songs from adult males during sensitive periods early in life, and sing to attract mates and defend territories. In presumably all of the 350+ parrot species, individuals of both sexes commonly learn vocal signals throughout life to satisfy a wide variety of social functions. Despite intriguing parallels with humans, there have been no experimental studies demonstrating learned vocal production in wild parrots. We studied contact call learning in video-rigged nests of a well-known marked population of green-rumped parrotlets (Forpus passerinus) in Venezuela. Both sexes of naive nestlings developed individually unique contact calls in the nest, and we demonstrate experimentally that signature attributes are learned from both primary care-givers. This represents the first experimental evidence for the mechanisms underlying the transmission of a socially acquired trait in a wild parrot population. PMID:21752824

Start Early to Build a Healthy Future: The Research Linking Early Learning and Health. Summary

ERIC Educational Resources Information Center

Fisher, Brooke; Hanson, Ann; Raden, Tony

2014-01-01

Every child deserves a fair chance. A chance to learn, grow, explore possibilities, persevere and achieve his or her potential. The Ounce of Prevention Fund believes that no child's potential should be limited by poor health. Good health in early childhood is an essential component of school readiness. The benefits of health and learning are…

Observing and Assessing Young Children's Digital Play in the Early Years: Using the Digital Play Framework

ERIC Educational Resources Information Center

Edwards, Susan; Bird, Jo

2017-01-01

Early childhood education settings are characterized by the use of play-based learning and the assessment of children's play by teachers to promote further learning. A problem with technology use in early childhood settings is that little is known about how children learn to use technologies through play. This lack of knowledge makes it difficult…

Parent Engagement in Early Learning: Strategies for Working with Families, Second Edition

ERIC Educational Resources Information Center

Powers, Julie

2016-01-01

This updated second edition of Parent ­Friendly Early Learning brings to life real scenarios that care providers face in today's world. We know parent engagement is important for a child's success, but how do you turn parent ­provider relationships into partnerships? Parent Engagement in Early Learning will help you: (1) Improve parent-­teacher…

(Re)Affirming Identities: Implementing a Play-Based Approach to Learning in the Early Years of Schooling

ERIC Educational Resources Information Center

Nolan, Andrea; Paatsch, Louise

2018-01-01

Learning through play has traditionally been a central tenet in early childhood education, however, in recent times primary schools have begun to consider the benefits of introducing a play-based approach into early years classrooms to support young children's learning, especially in the areas of language and literacy. This study focuses on the…

The Organisation for Economic Co-Operation and Development's International Early Learning Study: What Happened Next

ERIC Educational Resources Information Center

Moss, Peter; Urban, Mathias

2017-01-01

In this article, the authors provide an update on what has happened over recent months with the Organisation for Economic Co-operation and Development's proposal for an International Early Learning Study, and review responses to the proposed International Early Learning Study, including the concerns that have been raised about this new venture in…

Solid-State Lighting: Early Lessons Learned on the Way to Market

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

Sandahl, Linda J.; Cort, Katherine A.; Gordon, Kelly L.

2013-12-31

The purpose of this report is to document early challenges and lessons learned in the solid-state lighting (SSL) market development as part of the DOE’s SSL Program efforts to continually evaluate market progress in this area. This report summarizes early actions taken by DOE and others to avoid potential problems anticipated based on lessons learned from the market introduction of compact fluorescent lamps and identifies issues, challenges, and new lessons that have been learned in the early stages of the SSL market introduction. This study identifies and characterizes12 key lessons that have been distilled from DOE SSL program results.

Classroom quality and academic skills: Approaches to learning as a moderator.

PubMed

Meng, Christine

2015-12-01

The purpose of this study was to examine whether approaches to learning moderated the association between child care classroom environment and Head Start children's academic skills. The data came from the Head Start Family and Child Experiences Survey (FACES-2003 Cohort). The dataset is a nationally representative longitudinal study of Head Start children. The sample was selected using the stratified 4-stage sampling procedure. Data was collected in fall 2003, spring 2004, spring 2005, and spring 2006 in the first year of kindergarten. Participants included 3- and 4-year-old Head Start children (n = 786; 387 boys, 399 girls; 119 Hispanic children, 280 African American children, 312 Caucasian children). Head Start children's academic skills in letter-word identification, dictation/spelling, and mathematics at the 4 time points were measured by the Woodcock-Johnson Achievement Battery tests. Approaches to learning in fall 2003 was measured by the teacher report of the Preschool Learning Behaviors Scale. Child care classroom quality in fall 2003 was measured by the revised Early Childhood Environment Rating Scale. Results of the linear mixed effects models demonstrated that approaches to learning significantly moderated the effect of child care classroom quality on Head Start children's writing and spelling. Specifically, positive approaches to learning mitigated the negative effect of lower levels of classroom quality on dictation/spelling. Results underscore the important role of approaches to learning as a protective factor. Implications for early childhood educators with an emphasis on learning goals for disengaged children are discussed. (c) 2015 APA, all rights reserved).

Can Transcranial Direct Current Stimulation Augment Extinction of Conditioned Fear?

PubMed Central

van ’t Wout, Mascha; Mariano, Timothy Y.; Garnaat, Sarah L.; Reddy, Madhavi K.; Rasmussen, Steven A.; Greenberg, Benjamin D.

2016-01-01

Background Exposure-based therapy parallels extinction learning of conditioned fear. Prior research points to the ventromedial prefrontal cortex as a potential site for the consolidation of extinction learning and subsequent retention of extinction memory. Objective/hypothesis The present study aimed to evaluate whether the application of non-invasive transcranial direct current stimulation (tDCS) during extinction learning enhances late extinction and early recall in human participants. Methods Forty-four healthy volunteers completed a 2-day Pavlovian fear conditioning, extinction, and recall paradigm while skin conductance activity was continuously measured. Twenty-six participants received 2 mA anodal tDCS over EEG coordinate AF3 during extinction of a first conditioned stimulus. The remaining 18 participants received similar tDCS during extinction of a second conditioned stimulus. Sham stimulation was applied for the balance of extinction trials in both groups. Normalized skin conductance changes were analyzed using linear mixed models to evaluate effects of tDCS over late extinction and early recall trials. Results We observed a significant interaction between timing of tDCS during extinction blocks and changes in skin conductance reactivity over late extinction trials. These data indicate that tDCS was associated with accelerated late extinction learning of a second conditioned stimulus after tDCS was combined with extinction learning of a previous conditioned stimulus. No significant effects of tDCS timing were observed on early extinction recall. Conclusions Results could be explained by an anxiolytic aftereffect of tDCS and extend previous studies on tDCS-induced modulation of fear and threat related learning processes. These findings support further exploration of the clinical use of tDCS. PMID:27037186

Learning words and learning sounds: Advances in language development.

PubMed

Vihman, Marilyn M

2017-02-01

Phonological development is sometimes seen as a process of learning sounds, or forming phonological categories, and then combining sounds to build words, with the evidence taken largely from studies demonstrating 'perceptual narrowing' in infant speech perception over the first year of life. In contrast, studies of early word production have long provided evidence that holistic word learning may precede the formation of phonological categories. In that account, children begin by matching their existing vocal patterns to adult words, with knowledge of the phonological system emerging from the network of related word forms. Here I review evidence from production and then consider how the implicit and explicit learning mechanisms assumed by the complementary memory systems model might be understood as reconciling the two approaches. © 2016 The British Psychological Society.

Do pre-trained deep learning models improve computer-aided classification of digital mammograms?

NASA Astrophysics Data System (ADS)

Aboutalib, Sarah S.; Mohamed, Aly A.; Zuley, Margarita L.; Berg, Wendie A.; Luo, Yahong; Wu, Shandong

2018-02-01

Digital mammography screening is an important exam for the early detection of breast cancer and reduction in mortality. False positives leading to high recall rates, however, results in unnecessary negative consequences to patients and health care systems. In order to better aid radiologists, computer-aided tools can be utilized to improve distinction between image classifications and thus potentially reduce false recalls. The emergence of deep learning has shown promising results in the area of biomedical imaging data analysis. This study aimed to investigate deep learning and transfer learning methods that can improve digital mammography classification performance. In particular, we evaluated the effect of pre-training deep learning models with other imaging datasets in order to boost classification performance on a digital mammography dataset. Two types of datasets were used for pre-training: (1) a digitized film mammography dataset, and (2) a very large non-medical imaging dataset. By using either of these datasets to pre-train the network initially, and then fine-tuning with the digital mammography dataset, we found an increase in overall classification performance in comparison to a model without pre-training, with the very large non-medical dataset performing the best in improving the classification accuracy.

Links between motor control and classroom behaviors: Moderation by low birth weight

PubMed Central

Razza, Rachel A.; Martin, Anne; Brooks-Gunn, Jeanne

2016-01-01

It is unclear from past research on effortful control whether one of its components, motor control, independently contributes to adaptive classroom behaviors. The goal of this study was to identify associations between early motor control, measured by the walk-a-line task at age 3, and teacher-reported learning-related behaviors (approaches to learning and attention problems) and behavior problems in kindergarten classrooms. Models tested whether children who were vulnerable to poorer learning behaviors and more behavior problems due to having been born low birth weight benefited more, less, or the same as other children from better motor control. Data were drawn from the national Fragile Families and Child-Wellbeing Study (n = 751). Regression models indicated that motor control was significantly associated with better approaches to learning and fewer behavior problems. Children who were low birth weight benefitted more than normal birth weight children from better motor control with respect to their approaches to learning, but equally with respect to behavior problems. Additionally, for low but not normal birth weight children, better motor control predicted fewer attention problems. These findings suggest that motor control follows a compensatory model of development for low birth weight children and classroom behaviors. PMID:27594776

Integrating the behavioral and neural dynamics of response selection in a dual-task paradigm: a dynamic neural field model of Dux et al. (2009).

PubMed

Buss, Aaron T; Wifall, Tim; Hazeltine, Eliot; Spencer, John P

2014-02-01

People are typically slower when executing two tasks than when only performing a single task. These dual-task costs are initially robust but are reduced with practice. Dux et al. (2009) explored the neural basis of dual-task costs and learning using fMRI. Inferior frontal junction (IFJ) showed a larger hemodynamic response on dual-task trials compared with single-task trial early in learning. As dual-task costs were eliminated, dual-task hemodynamics in IFJ reduced to single-task levels. Dux and colleagues concluded that the reduction of dual-task costs is accomplished through increased efficiency of information processing in IFJ. We present a dynamic field theory of response selection that addresses two questions regarding these results. First, what mechanism leads to the reduction of dual-task costs and associated changes in hemodynamics? We show that a simple Hebbian learning mechanism is able to capture the quantitative details of learning at both the behavioral and neural levels. Second, is efficiency isolated to cognitive control areas such as IFJ, or is it also evident in sensory motor areas? To investigate this, we restrict Hebbian learning to different parts of the neural model. None of the restricted learning models showed the same reductions in dual-task costs as the unrestricted learning model, suggesting that efficiency is distributed across cognitive control and sensory motor processing systems.

Improving Memory for Optimization and Learning in Dynamic Environments

DTIC Science & Technology

2011-07-01

algorithm uses simple, in- cremental clustering to separate solutions into memory entries. The cluster centers are used as the models in the memory. This is...entire days of traffic with realistic traffic de - mands and turning ratios on a 32 intersection network modeled on downtown Pittsburgh, Pennsyl- vania...early/tardy problem. Management Science, 35(2):177–191, 1989. [78] Daniel Parrott and Xiaodong Li. A particle swarm model for tracking multiple peaks in

Boolean network identification from perturbation time series data combining dynamics abstraction and logic programming.

PubMed

Ostrowski, M; Paulevé, L; Schaub, T; Siegel, A; Guziolowski, C

2016-11-01

Boolean networks (and more general logic models) are useful frameworks to study signal transduction across multiple pathways. Logic models can be learned from a prior knowledge network structure and multiplex phosphoproteomics data. However, most efficient and scalable training methods focus on the comparison of two time-points and assume that the system has reached an early steady state. In this paper, we generalize such a learning procedure to take into account the time series traces of phosphoproteomics data in order to discriminate Boolean networks according to their transient dynamics. To that end, we identify a necessary condition that must be satisfied by the dynamics of a Boolean network to be consistent with a discretized time series trace. Based on this condition, we use Answer Set Programming to compute an over-approximation of the set of Boolean networks which fit best with experimental data and provide the corresponding encodings. Combined with model-checking approaches, we end up with a global learning algorithm. Our approach is able to learn logic models with a true positive rate higher than 78% in two case studies of mammalian signaling networks; for a larger case study, our method provides optimal answers after 7min of computation. We quantified the gain in our method predictions precision compared to learning approaches based on static data. Finally, as an application, our method proposes erroneous time-points in the time series data with respect to the optimal learned logic models. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Applications of Machine Learning to Downscaling and Verification

NASA Astrophysics Data System (ADS)

Prudden, R.

2017-12-01

Downscaling, sometimes known as super-resolution, means converting model data into a more detailed local forecast. It is a problem which could be highly amenable to machine learning approaches, provided that sufficient historical forecast data and observations are available. It is also closely linked to the subject of verification, since improving a forecast requires a way to measure that improvement. This talk will describe some early work towards downscaling Met Office ensemble forecasts, and discuss how the output may be usefully evaluated.

Machine Learning Methods for Production Cases Analysis

NASA Astrophysics Data System (ADS)

Mokrova, Nataliya V.; Mokrov, Alexander M.; Safonova, Alexandra V.; Vishnyakov, Igor V.

2018-03-01

Approach to analysis of events occurring during the production process were proposed. Described machine learning system is able to solve classification tasks related to production control and hazard identification at an early stage. Descriptors of the internal production network data were used for training and testing of applied models. k-Nearest Neighbors and Random forest methods were used to illustrate and analyze proposed solution. The quality of the developed classifiers was estimated using standard statistical metrics, such as precision, recall and accuracy.

Learning to Encode Timing: Mechanisms of Plasticity in the Auditory Brainstem

PubMed Central

Tzounopoulos, Thanos; Kraus, Nina

2009-01-01

Mechanisms of plasticity have traditionally been ascribed to higher-order sensory processing areas such as the cortex, whereas early sensory processing centers have been considered largely hard-wired. In agreement with this view, the auditory brainstem has been viewed as a nonplastic site, important for preserving temporal information and minimizing transmission delays. However, recent groundbreaking results from animal models and human studies have revealed remarkable evidence for cellular and behavioral mechanisms for learning and memory in the auditory brainstem. PMID:19477149

Facilitation and practice in verb acquisition.

PubMed

Keren-Portnoy, Tamar

2006-08-01

This paper presents a model of syntax acquisition, whose main points are as follows: Syntax is acquired in an item-based manner; early learning facilitates subsequent learning--as evidenced by the accelerating rate of new verbs entering a given structure; and mastery of syntactic knowledge is typically achieved through practice--as evidenced by intensive use and common word order errors--and this slows down learning during the early stages of acquiring a structure. The facilitation and practice hypotheses were tested on naturalistic production samples of six Hebrew-acquiring children ranging from ages 1;1 to 2;7 (average ages 1;6 to 2;4 months). Results show that most structures did in fact accelerate; the notion of 'practice' is supported by the inverse correlation found between number of verbs and number of errors in the earliest productions in a given structure; and the absence of acceleration in a minority of the structures is due to the fact that they involve relatively less practice.

Chemical Evolution and the Formation of Dwarf Galaxies in the Early Universe

NASA Astrophysics Data System (ADS)

Cote, Benoit; JINA-CEE, NuGrid, ChETEC

2018-06-01

Stellar abundances in local dwarf galaxies offer a unique window into the nature and nucleosynthesis of the first stars. They also contain clues regarding how galaxies formed and assembled in the early stages of the universe. In this talk, I will present our effort to connect nuclear astrophysics with the field of galaxy formation in order to define what can be learned about galaxy evolution using stellar abundances. In particular, I will describe the current state of our numerical chemical evolution pipeline which accounts for the mass assembly history of galaxies, present how we use high-redshift cosmological hydrodynamic simulations to calibrate our models and to learn about the formation of dwarf galaxies, and address the challenge of identifying the dominant r-process site(s) using stellar abundances.

Brief report: Predictors of outcomes in the Early Start Denver Model delivered in a group setting.

PubMed

Vivanti, Giacomo; Dissanayake, Cheryl; Zierhut, Cynthia; Rogers, Sally J

2013-07-01

There is a paucity of studies that have looked at factors associated with responsiveness to interventions in preschoolers with autism spectrum disorder (ASD). We investigated learning profiles associated with response to the early start Denver model delivered in a group setting. Our preliminary results from 21 preschool children with an ASD aged 2- to 5-years suggest that the children with more advanced skills in functional use of objects, goal understanding and imitation made the best developmental gains after 1 year of treatment. Cognitive abilities, social attention, intensity of the treatment and chronological age were not associated with treatment gains.

[Associative Learning between Orientation and Color in Early Visual Areas].

PubMed

Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

2017-08-01

Associative learning is an essential neural phenomenon where the contingency of different items increases after training. Although associative learning has been found to occur in many brain regions, there is no clear evidence that associative learning of visual features occurs in early visual areas. Here, we developed an associative decoded functional magnetic resonance imaging (fMRI) neurofeedback (A-DecNef) to determine whether associative learning of color and orientation can be induced in early visual areas. During the three days' training, A-DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was simultaneously, physically presented to participants. Consequently, participants' perception of "red" was significantly more frequently than that of "green" in an achromatic vertical grating. This effect was also observed 3 to 5 months after training. These results suggest that long-term associative learning of two different visual features such as color and orientation, was induced most likely in early visual areas. This newly extended technique that induces associative learning may be used as an important tool for understanding and modifying brain function, since associations are fundamental and ubiquitous with respect to brain function.

Determinants of Political Trust: A Lifetime Learning Model

ERIC Educational Resources Information Center

Schoon, Ingrid; Cheng, Helen

2011-01-01

This article addresses questions regarding the origins of individual variations in political trust. Using 2 prospective longitudinal studies, we examine the associations between family background, general cognitive ability (g) and school motivation at early age, educational and occupational attainment in adulthood, and political trust measured in…

Response to Intervention: A Research-Based Summary

ERIC Educational Resources Information Center

Hughes, Charles A.; Dexter, Douglas D.

2011-01-01

Response to Intervention (RTI) is an instructional framework through which schools can provide early intervention for students experiencing academic and behavioral difficulties. It is also promoted as an alternative to the IQ-discrepancy model for identifying students with learning disabilities. Most states have developed, or are developing,…

Early Mathematics Fluency with CCSSM

ERIC Educational Resources Information Center

Matney, Gabriel T.

2014-01-01

To develop second-grade students' confidence and ease, this author presents examples of learning tasks (Number of the Day, Word Problem Solving, and Modeling New Mathematical Ideas) that align with Common Core State Standards for Mathematics and that build mathematical fluency to promote students' creative expression of mathematical…

Full Day Early Learning Kindergarten Program Team: Perspectives from the Principal

ERIC Educational Resources Information Center

Shahbazi, Sara; Salinitri, Geri

2016-01-01

The Full Day Early Learning Kindergarten (FDK) Program has expanded the role of the principal and has altered the teaching dynamics of the classroom with the introduction of an early years team. The early years team consists of a certified teacher with the Ontario College of Teachers and a registered early childhood educator from the College of…

Developmental and familial predictors of adult cognitive traits in the European starling

PubMed Central

Nettle, Daniel; Andrews, Clare P.; Monaghan, Pat; Brilot, Ben O.; Bedford, Thomas; Gillespie, Robert; Bateson, Melissa

2015-01-01

In birds, there is evidence that adult cognitive traits can both run in families and be affected by early developmental influences. However, different studies use different cognitive tasks, which may not be measuring the same traits, and also focus on different developmental factors. We report results from a study in which we administered multiple cognitive tasks (autoshaping, discrimination learning, reversal learning, progressive ratio schedule, extinction learning and impulsivity) to a cohort of 34 European starlings, Sturnus vulgaris, for which several early developmental measures were available. The cohort consisted of siblings raised either apart or together, whose position in the size hierarchy of the rearing brood had been experimentally manipulated. We examined how the different cognitive measures covaried, the extent to which they ran in families, and which of the developmental factors predicted which of the cognitive outcomes. We found that discrimination and reversal learning speeds were positively correlated, as were breakpoint on the progressive ratio schedule and resistance to extinction. Otherwise, the cognitive measures were uncorrelated, suggesting that they reflected different underlying traits. All traits except discrimination and reversal learning speed ran in families to a substantial extent. Using a model selection approach, we found evidence that natal brood size and developmental telomere attrition (the extent to which the birds' erythrocyte telomeres shortened in early life, an integrative measure of developmental stress) were related to several adult cognitive measures. Results are discussed with respect to the best way of measuring avian cognitive abilities, and the utility of developmental telomere attrition as a predictor of adult outcomes. PMID:26405302

Family and child-care provider influences on preschool children's fruit, juice, and vegetable consumption.

PubMed

Nicklas, T A; Baranowski, T; Baranowski, J C; Cullen, K; Rittenberry, L; Olvera, N

2001-07-01

Children's intakes of fruit, juice, and vegetables (FJV) do not meet the recommended minimum of five daily servings, placing them at increased risk for development of cancer and other diseases. Because children's food preferences and practices are initiated early in life (e.g., 2-5 years of age), early dietary intervention programs may have immediate nutritional benefit, as well as reduce chronic disease risk when learned healthful habits and preferences are carried into adulthood. Families and child-care settings are important social environments within which food-related behaviors among young children are developed. FJV preferences, the primary predictor of FJV consumption in children, are influenced by availability, variety, and repeated exposure. Caregivers (parents and child-care providers) can influence children's eating practices by controlling availability and accessibility of foods, meal structure, food modeling, food socialization practices, and food-related parenting style. Much remains to be learned about how these influences and practices affect the development of FJV preferences and consumption early in life.

State and trait effects on individual differences in children's mathematical development.

PubMed

Bailey, Drew H; Watts, Tyler W; Littlefield, Andrew K; Geary, David C

2014-11-01

Substantial longitudinal relations between children's early mathematics achievement and their much later mathematics achievement are firmly established. These findings are seemingly at odds with studies showing that early educational interventions have diminishing effects on children's mathematics achievement across time. We hypothesized that individual differences in children's later mathematical knowledge are more an indicator of stable, underlying characteristics related to mathematics learning throughout development than of direct effects of early mathematical competency on later mathematical competency. We tested this hypothesis in two longitudinal data sets, by simultaneously modeling effects of latent traits (stable characteristics that influence learning across time) and states (e.g., prior knowledge) on children's mathematics achievement over time. Latent trait effects on children's mathematical development were substantially larger than state effects. Approximately 60% of the variance in trait mathematics achievement was accounted for by commonly used control variables, such as working memory, but residual trait effects remained larger than state effects. Implications for research and practice are discussed. © The Author(s) 2014.

State and Trait Effects on Individual Differences in Children's Mathematical Development

PubMed Central

Bailey, Drew H.; Watts, Tyler W.; Littlefield, Andrew K.; Geary, David C.

2015-01-01

Substantial longitudinal relations between children's early mathematics achievement and their much later mathematics achievement are firmly established. These findings are seemingly at odds with studies showing that early educational interventions have diminishing effects on children's mathematics achievement across time. We hypothesized that individual differences in children's later mathematical knowledge are more an indicator of stable, underlying characteristics related to mathematics learning throughout development than of direct effects of early mathematical competency on later mathematical competency. We tested this hypothesis in two longitudinal data sets, by simultaneously modeling effects of latent traits (stable characteristics that influence learning across time) and states (e.g., prior knowledge) on children's mathematics achievement over time. Latent trait effects on children's mathematical development were substantially larger than state effects. Approximately 60% of the variance in trait mathematics achievement was accounted for by commonly used control variables, such as working memory, but residual trait effects remained larger than state effects. Implications for research and practice are discussed. PMID:25231900

Contemplating the GANE model using an extreme case paradigm.

PubMed

Geva, Ronny

2016-01-01

Early experiences play a crucial role in programming brain function, affecting selective attention, learning, and memory. Infancy literature suggests an extension of the GANE (glutamate amplifies noradrenergic effects) model to conditions with minimal priority-map inputs, yet suggests qualifications by noting that its efficacy is increased when tonic levels of arousal are maintained in an optimal range, in manners that are age and exposure dependent.

Histone Deacetylase Inhibition Induces Odor Preference Memory Extension and Maintains Enhanced AMPA Receptor Expression in the Rat Pup Model

ERIC Educational Resources Information Center

Bhattacharya, Sriya; Mukherjee, Bandhan; Doré, Jules J. E.; Yuan, Qi; Harley, Carolyn W.; McLean, John H.

2017-01-01

Histone deacetylase (HDAC) plays a role in synaptic plasticity and long-term memory formation. We hypothesized that trichostatin-A (TSA), an HDAC inhibitor, would promote long-term odor preference memory and maintain enhanced GluA1 receptor levels that have been hypothesized to support memory. We used an early odor preference learning model in…

Safe and Effective Secondary Schools: The Boys Town Model. Preventing Violence, Building Respect, and Promoting Learning in the Classroom and Beyond.

ERIC Educational Resources Information Center

Davis, Jerry L., Ed.; Nelson, Cathy S., Ed.; Gauger, Elizabeth S., Ed.

This book presents useful information on types and levels of aggression, how conflicts escalate, early warning signs of violence, and characteristics of a safe school. Violence prevention techniques, many based on principles that form the foundation of the Boys Town Education Model, show educators and administrators how to calm an angry or…

Does the PMSP Connectionist Model of Single Word Reading Learn to Read in the Same Way as a Child?

ERIC Educational Resources Information Center

Powell, Daisy; Plaut, David; Funnell, Elaine

2006-01-01

The Plaut, McClelland, Seidenberg and Patterson (1996) connectionist model of reading was evaluated at two points early in its training against reading data collected from British children on two occasions during their first year of literacy instruction. First, the network's non-word reading was poor relative to word reading when compared with the…

Learning Languages: The Journal of the National Network for Early Language Learning, 1998-1999.

ERIC Educational Resources Information Center

Rosenbusch, Marcia H., Ed.

1999-01-01

These three journals include articles on issues related to language learning. The fall 1998 journal presents: "Attention! Are You Seeking a Position with Excellent Long-Term Benefits? Be an Advocate!" (Mary Lynn Redmond); "National Town Meeting Energizes Support for Early Language Learning" (Marcia Harmon Rosenbusch);…

There's an Elephant in the Room: The Impact of Early Poverty and Neglect on Intelligence and Common Learning Disorders in Children, Adolescents, and Their Parents

ERIC Educational Resources Information Center

Bigelow, Brian J.

2006-01-01

Recognition of poverty and neglect is very important in formulating a practical diagnosis of children's and adolescent's learning disorders. Early brain development forms the basis of learning, behavior and health over the entire life span. Through accumulated stressors and lack of supports, early poverty undermines competent parenting which then…

Biological impact of auditory expertise across the life span: musicians as a model of auditory learning

PubMed Central

Strait, Dana L.; Kraus, Nina

2013-01-01

Experience-dependent characteristics of auditory function, especially with regard to speech-evoked auditory neurophysiology, have garnered increasing attention in recent years. This interest stems from both pragmatic and theoretical concerns as it bears implications for the prevention and remediation of language-based learning impairment in addition to providing insight into mechanisms engendering experience-dependent changes in human sensory function. Musicians provide an attractive model for studying the experience-dependency of auditory processing in humans due to their distinctive neural enhancements compared to nonmusicians. We have only recently begun to address whether these enhancements are observable early in life, during the initial years of music training when the auditory system is under rapid development, as well as later in life, after the onset of the aging process. Here we review neural enhancements in musically trained individuals across the life span in the context of cellular mechanisms that underlie learning, identified in animal models. Musicians’ subcortical physiologic enhancements are interpreted according to a cognitive framework for auditory learning, providing a model by which to study mechanisms of experience-dependent changes in auditory function in humans. PMID:23988583

Early Language Learning and Literacy: Neuroscience Implications for Education

PubMed Central

Kuhl, Patricia K.

2011-01-01

The last decade has produced an explosion in neuroscience research examining young children’s early processing of language that has implications for education. Noninvasive, safe functional brain measurements have now been proven feasible for use with children starting at birth. In the arena of language, the neural signatures of learning can be documented at a remarkably early point in development, and these early measures predict performance in children’s language and pre-reading abilities in the second, third, and fifth year of life, a finding with theoretical and educational import. There is evidence that children’s early mastery of language requires learning in a social context, and this finding also has important implications for education. Evidence relating socio-economic status (SES) to brain function for language suggests that SES should be considered a proxy for the opportunity to learn and that the complexity of language input is a significant factor in developing brain areas related to language. The data indicate that the opportunity to learn from complex stimuli and events are vital early in life, and that success in school begins in infancy. PMID:21892359

Instrumental learning and cognitive flexibility processes are impaired in children exposed to early life stress.

PubMed

Harms, Madeline B; Shannon Bowen, Katherine E; Hanson, Jamie L; Pollak, Seth D

2017-10-19

Children who experience severe early life stress show persistent deficits in many aspects of cognitive and social adaptation. Early stress might be associated with these broad changes in functioning because it impairs general learning mechanisms. To explore this possibility, we examined whether individuals who experienced abusive caregiving in childhood had difficulties with instrumental learning and/or cognitive flexibility as adolescents. Fifty-three 14-17-year-old adolescents (31 exposed to high levels of childhood stress, 22 control) completed an fMRI task that required them to first learn associations in the environment and then update those pairings. Adolescents with histories of early life stress eventually learned to pair stimuli with both positive and negative outcomes, but did so more slowly than their peers. Furthermore, these stress-exposed adolescents showed markedly impaired cognitive flexibility; they were less able than their peers to update those pairings when the contingencies changed. These learning problems were reflected in abnormal activity in learning- and attention-related brain circuitry. Both altered patterns of learning and neural activation were associated with the severity of lifetime stress that the adolescents had experienced. Taken together, the results of this experiment suggest that basic learning processes are impaired in adolescents exposed to early life stress. These general learning mechanisms may help explain the emergence of social problems observed in these individuals. © 2017 The Authors. Developmental Science Published by John Wiley & Sons Ltd.

Recommendations for Implementing the New Illinois Early Learning and Development Standards to Affect Classroom Practices for Social and Emotional Learning

ERIC Educational Resources Information Center

Zinsser, Katherine M.; Dusenbury, Linda

2015-01-01

The state of Illinois in the central United States has long been a trendsetter both in the development of learning standards and in addressing social and emotional learning in education settings. With a recent revision to the state's early learning standards, published in 2013, the Illinois State Board of Education (ISBE) fully aligned its…

Professional Development for Early Childhood Educators: Efforts to Improve Math and Science Learning Opportunities in Early Childhood Classrooms.

PubMed

Piasta, Shayne B; Logan, Jessica A R; Pelatti, Christina Yeager; Capps, Janet L; Petrill, Stephen A

2015-05-01

Because recent initiatives highlight the need to better support preschool-aged children's math and science learning, the present study investigated the impact of professional development in these domains for early childhood educators. Sixty-five educators were randomly assigned to experience 10.5 days (64 hours) of training on math and science or on an alternative topic. Educators' provision of math and science learning opportunities were documented, as were the fall-to-spring math and science learning gains of children ( n = 385) enrolled in their classrooms. Professional development significantly impacted provision of science, but not math, learning opportunities. Professional development did not directly impact children's math or science learning, although science learning was indirectly affected via the increase in science learning opportunities. Both math and science learning opportunities were positively associated with children's learning. Results suggest that substantive efforts are necessary to ensure that children have opportunities to learn math and science from a young age.

Professional Development for Early Childhood Educators: Efforts to Improve Math and Science Learning Opportunities in Early Childhood Classrooms

PubMed Central

Piasta, Shayne B.; Logan, Jessica A. R.; Pelatti, Christina Yeager; Capps, Janet L.; Petrill, Stephen A.

2014-01-01

Because recent initiatives highlight the need to better support preschool-aged children’s math and science learning, the present study investigated the impact of professional development in these domains for early childhood educators. Sixty-five educators were randomly assigned to experience 10.5 days (64 hours) of training on math and science or on an alternative topic. Educators’ provision of math and science learning opportunities were documented, as were the fall-to-spring math and science learning gains of children (n = 385) enrolled in their classrooms. Professional development significantly impacted provision of science, but not math, learning opportunities. Professional development did not directly impact children’s math or science learning, although science learning was indirectly affected via the increase in science learning opportunities. Both math and science learning opportunities were positively associated with children’s learning. Results suggest that substantive efforts are necessary to ensure that children have opportunities to learn math and science from a young age. PMID:26257434

Learning of embodied interaction dynamics with recurrent neural networks: some exploratory experiments.

PubMed

Oubbati, Mohamed; Kord, Bahram; Koprinkova-Hristova, Petia; Palm, Günther

2014-04-01

The new tendency of artificial intelligence suggests that intelligence must be seen as a result of the interaction between brains, bodies and environments. This view implies that designing sophisticated behaviour requires a primary focus on how agents are functionally coupled to their environments. Under this perspective, we present early results with the application of reservoir computing as an efficient tool to understand how behaviour emerges from interaction. Specifically, we present reservoir computing models, that are inspired by imitation learning designs, to extract the essential components of behaviour that results from agent-environment interaction dynamics. Experimental results using a mobile robot are reported to validate the learning architectures.

Learning of embodied interaction dynamics with recurrent neural networks: some exploratory experiments

NASA Astrophysics Data System (ADS)

Oubbati, Mohamed; Kord, Bahram; Koprinkova-Hristova, Petia; Palm, Günther

2014-04-01

The new tendency of artificial intelligence suggests that intelligence must be seen as a result of the interaction between brains, bodies and environments. This view implies that designing sophisticated behaviour requires a primary focus on how agents are functionally coupled to their environments. Under this perspective, we present early results with the application of reservoir computing as an efficient tool to understand how behaviour emerges from interaction. Specifically, we present reservoir computing models, that are inspired by imitation learning designs, to extract the essential components of behaviour that results from agent-environment interaction dynamics. Experimental results using a mobile robot are reported to validate the learning architectures.

Multinomial Bayesian learning for modeling classical and nonclassical receptive field properties.

PubMed

Hosoya, Haruo

2012-08-01

We study the interplay of Bayesian inference and natural image learning in a hierarchical vision system, in relation to the response properties of early visual cortex. We particularly focus on a Bayesian network with multinomial variables that can represent discrete feature spaces similar to hypercolumns combining minicolumns, enforce sparsity of activation to learn efficient representations, and explain divisive normalization. We demonstrate that maximal-likelihood learning using sampling-based Bayesian inference gives rise to classical receptive field properties similar to V1 simple cells and V2 cells, while inference performed on the trained network yields nonclassical context-dependent response properties such as cross-orientation suppression and filling in. Comparison with known physiological properties reveals some qualitative and quantitative similarities.

Digital Discourses in Early Childhood Educator Online Learning

ERIC Educational Resources Information Center

Hoffman, Emily Brown

2017-01-01

Active, dialogic participation is a necessary component of high quality teacher professional learning (Dunst, Bruder, & Hamby, 2015). However, logistical problems arise when implementing cooperative learning opportunities for early childhood educators, as preschool teachers are habitually separated from peers both institutionally and…

Lessons Learned from Developing a Patient Engagement Panel: An OCHIN Report.

PubMed

Arkind, Jill; Likumahuwa-Ackman, Sonja; Warren, Nate; Dickerson, Kay; Robbins, Lynn; Norman, Kathy; DeVoe, Jennifer E

2015-01-01

There is renewed interest in patient engagement in clinical and research settings, creating a need for documenting and publishing lessons learned from efforts to meaningfully engage patients. This article describes early lessons learned from the development of OCHIN's Patient Engagement Panel (PEP). OCHIN supports a national network of more than 300 community health centers (CHCs) and other primary care settings that serve over 1.5 million patients annually across nearly 20 states. The PEP was conceived in 2009 to harness the CHC tradition of patient engagement in this new era of patient-centered outcomes research and to ensure that patients were engaged throughout the life cycle of our research projects, from conception to dissemination. Developed by clinicians and researchers within our practice-based research network, recruitment of patients to serve as PEP members began in early 2012. The PEP currently has a membership of 18 patients from 3 states. Over the past 24 months, the PEP has been involved with 12 projects. We describe developing the PEP and challenges and lessons learned (eg, recruitment, funding model, creating value for patient partners, compensation). These lessons learned are relevant not only for research but also for patient engagement in quality improvement efforts and other clinical initiatives. © Copyright 2015 by the American Board of Family Medicine.

Perceptual learning increases the strength of the earliest signals in visual cortex.

PubMed

Bao, Min; Yang, Lin; Rios, Cristina; He, Bin; Engel, Stephen A

2010-11-10

Training improves performance on most visual tasks. Such perceptual learning can modify how information is read out from, and represented in, later visual areas, but effects on early visual cortex are controversial. In particular, it remains unknown whether learning can reshape neural response properties in early visual areas independent from feedback arising in later cortical areas. Here, we tested whether learning can modify feedforward signals in early visual cortex as measured by the human electroencephalogram. Fourteen subjects were trained for >24 d to detect a diagonal grating pattern in one quadrant of the visual field. Training improved performance, reducing the contrast needed for reliable detection, and also reliably increased the amplitude of the earliest component of the visual evoked potential, the C1. Control orientations and locations showed smaller effects of training. Because the C1 arises rapidly and has a source in early visual cortex, our results suggest that learning can increase early visual area response through local receptive field changes without feedback from later areas.

Gestational methylazoxymethanol exposure leads to NMDAR dysfunction in hippocampus during early development and lasting deficits in learning.

PubMed

Snyder, Melissa A; Adelman, Alicia E; Gao, Wen-Jun

2013-01-01

The N-methyl-D-aspartate (NMDA) receptor has long been associated with learning and memory processes as well as diseased states, particularly in schizophrenia (SZ). Additionally, SZ is increasingly recognized as a neurodevelopmental disorder with cognitive impairments often preceding the onset of psychosis. However, the cause of these cognitive deficits and what initiates the pathological process is unknown. Growing evidence has implicated the glutamate system and, in particular, N-methyl-D-aspartate receptor (NMDAR) dysfunction in the pathophysiology of SZ. Yet, the vast majority of SZ-related research has focused on NMDAR function in adults leaving the role of NMDARs during development uncharacterized. We used the prenatal methylazoxymethanol acetate (MAM, E17) exposure model to determine the alterations of NMDAR protein levels and function, as well as associated cognitive deficits during development. We found that MAM-exposed animals have significantly altered NMDAR protein levels and function in the juvenile and adolescent hippocampus. Furthermore, these changes are associated with learning and memory deficits in the Morris Water Maze. Thus, in the prenatal MAM-exposure SZ model, NMDAR expression and function is altered during the critical period of hippocampal development. These changes may be involved in disease initiation and cognitive impairment in the early stage of SZ.

A Lesson from Opal.

ERIC Educational Resources Information Center

Keiper, Anne M.

1987-01-01

A five-year-old hearing impaired girl who arrives at a residential school for the deaf without having had the opportunity to learn to communicate goes through the early stages of writing development. Similarities between the developmental stages of oral and written language and the importance of providing behavior models are discussed. (VW)

Precursor Model and Preschool Science Learning about Shadows Formation

ERIC Educational Resources Information Center

Delserieys, Alice; Jégou, Corinne; Boilevin, Jean-Marie; Ravanis, Konstantinos

2018-01-01

Background: This work is based on the idea that young children benefit from early introduction of scientific concepts. Few researches describe didactical strategies focusing on physics understanding for young children and analyse their effectiveness in standard classroom environments. Purpose: The aim is to identify whether didactical strategies…

Revista de Investigacion Educativa, 1999 (Journal of Educational Research, 1999).

ERIC Educational Resources Information Center

Revista de Investigacion Educativa, 1999

1999-01-01

Articles in this volume, written in Spanish, focus on the following: intellectual style and academic performance; an explanatory integrated model of academic goals, learning strategies, and academic performance; a comparative situational study of drug addiction; early childhood depression and academic performance: a comparative study of patients…

Sexual Violence Prevention: The Role of Stages of Change

ERIC Educational Resources Information Center

Banyard, Victoria L.; Eckstein, Robert P.; Moynihan, Mary M.

2010-01-01

Increasing numbers of empirical studies and theoretical frameworks for preventing sexual violence are appearing in the research- and practice-based literatures. The consensus of this work is that although important lessons have been learned, the field is still in the early stages of developing and fully researching effective models, particularly…

Teacher Resistance to CALL.

ERIC Educational Resources Information Center

Eastment, David

Despite the evolution of software for computer-assisted language learning (CALL), teacher resistance remains high. Early software for language instruction was almost exclusively designed for drill and practice. That approach was later replaced by a model in which the computer provided a stimulus for students, most often as a partner in games.…

Bootstrapping the Syntactic Bootstrapper: Probabilistic Labeling of Prosodic Phrases

ERIC Educational Resources Information Center

Gutman, Ariel; Dautriche, Isabelle; Crabbé, Benoît; Christophe, Anne

2015-01-01

The "syntactic bootstrapping" hypothesis proposes that syntactic structure provides children with cues for learning the meaning of novel words. In this article, we address the question of how children might start acquiring some aspects of syntax before they possess a sizeable lexicon. The study presents two models of early syntax…

Early motor learning changes in upper-limb dynamics and shoulder complex loading during handrim wheelchair propulsion.

PubMed

Vegter, Riemer J K; Hartog, Johanneke; de Groot, Sonja; Lamoth, Claudine J; Bekker, Michel J; van der Scheer, Jan W; van der Woude, Lucas H V; Veeger, Dirkjan H E J

2015-03-10

To propel in an energy-efficient manner, handrim wheelchair users must learn to control the bimanually applied forces onto the rims, preserving both speed and direction of locomotion. Previous studies have found an increase in mechanical efficiency due to motor learning associated with changes in propulsion technique, but it is unclear in what way the propulsion technique impacts the load on the shoulder complex. The purpose of this study was to evaluate mechanical efficiency, propulsion technique and load on the shoulder complex during the initial stage of motor learning. 15 naive able-bodied participants received 12-minutes uninstructed wheelchair practice on a motor driven treadmill, consisting of three 4-minute blocks separated by two minutes rest. Practice was performed at a fixed belt speed (v = 1.1 m/s) and constant low-intensity power output (0.2 W/kg). Energy consumption, kinematics and kinetics of propulsion technique were continuously measured. The Delft Shoulder Model was used to calculate net joint moments, muscle activity and glenohumeral reaction force. With practice mechanical efficiency increased and propulsion technique changed, reflected by a reduced push frequency and increased work per push, performed over a larger contact angle, with more tangentially applied force and reduced power losses before and after each push. Contrary to our expectations, the above mentioned propulsion technique changes were found together with an increased load on the shoulder complex reflected by higher net moments, a higher total muscle power and higher peak and mean glenohumeral reaction forces. It appears that the early stages of motor learning in handrim wheelchair propulsion are indeed associated with improved technique and efficiency due to optimization of the kinematics and dynamics of the upper extremity. This process goes at the cost of an increased muscular effort and mechanical loading of the shoulder complex. This seems to be associated with an unchanged stable function of the trunk and could be due to the early learning phase where participants still have to learn to effectively use the full movement amplitude available within the wheelchair-user combination. Apparently whole body energy efficiency has priority over mechanical loading in the early stages of learning to propel a handrim wheelchair.

Preliminary Development of the Parent Involvement in Early Learning Scale for Low-Income Families Enrolled in a Child-Development-Focused Home Visiting Program

ERIC Educational Resources Information Center

Manz, Patricia H.; Gernhart, Amanda L.; Bracaliello, Catherine B.; Pressimone, Vanessa J.; Eisenberg, Rachel A.

2014-01-01

Salient early intervention approaches for children below the age of 3 years, such as home visiting, seek to strengthen the pivotal role that parents play in fostering their young children's early learning. Yet, measures that identify and monitor the ways in which low-income parents support toddlers' learning experiences are lacking. Without parent…

The Head Start Child Development and Early Learning Framework: Promoting Positive Outcomes in Early Childhood Programs Serving Children 3-5 Years Old

ERIC Educational Resources Information Center

Office of Head Start, US Department of Health and Human Services, 2010

2010-01-01

This report presents a revision of the Head Start Child Outcomes Framework (2000), renamed The Head Start Child Development and Learning Framework: Promoting Positive Outcomes in Early Childhood Programs Serving Children 3-5 Years Old. The Framework outlines the essential areas of development and learning that are to be used by Head Start programs…

Informal Science Learning through Inquiry: Effects on Preschool Students' Achievement in Early Science Learning

ERIC Educational Resources Information Center

Samsudin, Mohd Ali; Haniza, Noor Hasyimah; Ismail, Juliah; Abd-Talib, Corrienna

2015-01-01

This study was undertaken to explore the effects of informal science learning outside the classroom on preschool students' achievement in the Early Science learning topic (plant-related topics that presented concepts about tree leaves, height and roots) using an inquiry method. A sample of 64 preschool students was selected using purposive…

Learning with Nature and Learning from Others: Nature as Setting and Resource for Early Childhood Education

ERIC Educational Resources Information Center

MacQuarrie, Sarah; Nugent, Clare; Warden, Claire

2015-01-01

Nature-based learning is an increasingly popular type of early childhood education. Despite this, children's experiences--in particular, their form and function within different settings and how they are viewed by practitioners--are relatively unknown. Accordingly, the use of nature as a setting and a resource for learning was researched. A…

Exploring Staff Perceptions: Early Childhood Teacher Educators Examine Online Teaching and Learning Challenges and Dilemmas

ERIC Educational Resources Information Center

Davis, Julie; Lennox, Sandra; Walker, Sue; Walsh, Kerryann

2007-01-01

Early Childhood teacher educators at Queensland University of Technology (QUT) have been engaging with online teaching and learning since the mid 1990s. On campus students have lectures and tutorials supported by information and communication technologies via QUT's home grown learning management system, Online Learning and Teaching (OLT). We…

Power and Identity in Immigrant Parents' Involvement in Early Years Mathematics Learning

ERIC Educational Resources Information Center

Takeuchi, Miwa Aoki

2018-01-01

This study examined immigrant parents' involvement in early years mathematics learning, focusing on learning of multiplication in in- and out-of-school settings. Ethnographic interviews and workshops were conducted in an urban city in Japan, to examine out-of-school practices of immigrant families. Drawing from sociocultural theory of learning and…

Highlighting in Early Childhood: Learning Biases through Attentional Shifting

ERIC Educational Resources Information Center

Burling, Joseph M.; Yoshida, Hanako

2017-01-01

The literature on human and animal learning suggests that individuals attend to and act on cues differently based on the order in which they were learned. Recent studies have proposed that one specific type of learning outcome, the highlighting effect, can serve as a framework for understanding a number of early cognitive milestones. However,…

Violence Prevention for Families of Young Children.

ERIC Educational Resources Information Center

American Psychological Association, Washington, DC.

Based on the view that violent behavior is learned and often learned early in life, this pamphlet shows parents how they can help protect young children from getting involved with violence and increase that child's chances for a safe and productive future. The pamphlet cautions parents that early learning is powerful and that children learn how to…

Endoscopic skull base training using 3D printed models with pre-existing pathology.

PubMed

Narayanan, Vairavan; Narayanan, Prepageran; Rajagopalan, Raman; Karuppiah, Ravindran; Rahman, Zainal Ariff Abdul; Wormald, Peter-John; Van Hasselt, Charles Andrew; Waran, Vicknes

2015-03-01

Endoscopic base of skull surgery has been growing in acceptance in the recent past due to improvements in visualisation and micro instrumentation as well as the surgical maturing of early endoscopic skull base practitioners. Unfortunately, these demanding procedures have a steep learning curve. A physical simulation that is able to reproduce the complex anatomy of the anterior skull base provides very useful means of learning the necessary skills in a safe and effective environment. This paper aims to assess the ease of learning endoscopic skull base exposure and drilling techniques using an anatomically accurate physical model with a pre-existing pathology (i.e., basilar invagination) created from actual patient data. Five models of a patient with platy-basia and basilar invagination were created from the original MRI and CT imaging data of a patient. The models were used as part of a training workshop for ENT surgeons with varying degrees of experience in endoscopic base of skull surgery, from trainees to experienced consultants. The surgeons were given a list of key steps to achieve in exposing and drilling the skull base using the simulation model. They were then asked to list the level of difficulty of learning these steps using the model. The participants found the models suitable for learning registration, navigation and skull base drilling techniques. All participants also found the deep structures to be accurately represented spatially as confirmed by the navigation system. These models allow structured simulation to be conducted in a workshop environment where surgeons and trainees can practice to perform complex procedures in a controlled fashion under the supervision of experts.

The effects of sleep deprivation on dissociable prototype learning systems.

PubMed

Maddox, W Todd; Glass, Brian D; Zeithamova, Dagmar; Savarie, Zachary R; Bowen, Christopher; Matthews, Michael D; Schnyer, David M

2011-03-01

The cognitive neural underpinnings of prototype learning are becoming clear. Evidence points to 2 different neural systems, depending on the learning parameters. A/not-A (AN) prototype learning is mediated by posterior brain regions that are involved in early perceptual learning, whereas A/B (AB) is mediated by frontal and medial temporal lobe regions. To investigate the effects of sleep deprivation on AN and AB prototype learning and to use established prototype models to provide insights into the cognitive-processing locus of sleep-deprivation deficits. Participants performed an AN and an AB prototype learning task twice, separated by a 24-hour period, with or without sleep between testing sessions. Eighteen West Point cadets participated in the sleep-deprivation group, and 17 West Point cadets participated in a control group. Sleep deprivation led to an AN, but not an AB, performance deficit. Prototype model analyses indicated that the AN deficit was due to changes in attentional focus and a decrease in confidence that is reflected in an increased bias to respond non-A. The findings suggest that AN, but not AB, prototype learning is affected by sleep deprivation. Prototype model analyses support the notion that the effect of sleep deprivation on AN is consistent with lapses in attentional focus that are more detrimental to AN than to AB. This finding adds to a growing body of work that suggests that different performance changes associated with sleep deprivation can be attributed to a common mechanism of changes in simple attention and vigilance.

The First Hours of the GW170817 Kilonova and the Importance of Early Optical and Ultraviolet Observations for Constraining Emission Models

NASA Astrophysics Data System (ADS)

Arcavi, Iair

2018-03-01

The kilonova associated with GW170817 displayed early blue emission, which has been interpreted as a signature of either radioactive decay in low-opacity ejecta, relativistic boosting of radioactive decay in high-velocity ejecta, the cooling of material heated by a wind or by a “cocoon” surrounding a jet, or a combination thereof. Distinguishing between these mechanisms is important for constraining the ejecta components and their parameters, which tie directly into the physics we can learn from these events. I compile published ultraviolet, optical, and infrared light curves of the GW170817 kilonova and examine whether the combined data set can be used to distinguish between early-emission models. The combined optical data show an early rise consistent with radioactive decay of low-opacity ejecta as the main emission source, but the subsequent decline is fit well by all models. A lack of constraints on the ultraviolet flux during the first few hours after discovery allows for both radioactive decay and other cooling mechanisms to explain the early bolometric light curve. This analysis demonstrates that early (few hours after merger) high-cadence optical and ultraviolet observations will be critical for determining the source of blue emission in future kilonovae.

Predictive model for early math skills based on structural equations.

PubMed

Aragón, Estíbaliz; Navarro, José I; Aguilar, Manuel; Cerda, Gamal; García-Sedeño, Manuel

2016-12-01

Early math skills are determined by higher cognitive processes that are particularly important for acquiring and developing skills during a child's early education. Such processes could be a critical target for identifying students at risk for math learning difficulties. Few studies have considered the use of a structural equation method to rationalize these relations. Participating in this study were 207 preschool students ages 59 to 72 months, 108 boys and 99 girls. Performance with respect to early math skills, early literacy, general intelligence, working memory, and short-term memory was assessed. A structural equation model explaining 64.3% of the variance in early math skills was applied. Early literacy exhibited the highest statistical significance (β = 0.443, p < 0.05), followed by intelligence (β = 0.286, p < 0.05), working memory (β = 0.220, p < 0.05), and short-term memory (β = 0.213, p < 0.05). Correlations between the independent variables were also significant (p < 0.05). According to the results, cognitive variables should be included in remedial intervention programs. © 2016 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Academic Vocabulary Learning in First Through Third Grade in Low-Income Schools: Effects of Automated Supplemental Instruction.

PubMed

Goldstein, Howard; Ziolkowski, Robyn A; Bojczyk, Kathryn E; Marty, Ana; Schneider, Naomi; Harpring, Jayme; Haring, Christa D

2017-11-09

This study investigated cumulative effects of language learning, specifically whether prior vocabulary knowledge or special education status moderated the effects of academic vocabulary instruction in high-poverty schools. Effects of a supplemental intervention targeting academic vocabulary in first through third grades were evaluated with 241 students (6-9 years old) from low-income families, 48% of whom were retained for the 3-year study duration. Students were randomly assigned to vocabulary instruction or comparison groups. Curriculum-based measures of word recognition, receptive identification, expressive labeling, and decontextualized definitions showed large effects for multiple levels of word learning. Hierarchical linear modeling revealed that students with higher initial Peabody Picture Vocabulary Test-Fourth Edition scores (Dunn & Dunn, 2007) demonstrated greater word learning, whereas students with special needs demonstrated less growth in vocabulary. This model of vocabulary instruction can be applied efficiently in high-poverty schools through an automated, easily implemented adjunct to reading instruction in the early grades and holds promise for reducing gaps in vocabulary development.

Out of sight, out of mind: Categorization learning and normal aging.

PubMed

Schenk, Sabrina; Minda, John P; Lech, Robert K; Suchan, Boris

2016-10-01

The present combined EEG and eye tracking study examined the process of categorization learning at different age ranges and aimed to investigate to which degree categorization learning is mediated by visual attention and perceptual strategies. Seventeen young subjects and ten elderly subjects had to perform a visual categorization task with two abstract categories. Each category consisted of prototypical stimuli and an exception. The categorization of prototypical stimuli was learned very early during the experiment, while the learning of exceptions was delayed. The categorization of exceptions was accompanied by higher P150, P250 and P300 amplitudes. In contrast to younger subjects, elderly subjects had problems in the categorization of exceptions, but showed an intact categorization performance for prototypical stimuli. Moreover, elderly subjects showed higher fixation rates for important stimulus features and higher P150 amplitudes, which were positively correlated with the categorization performances. These results indicate that elderly subjects compensate for cognitive decline through enhanced perceptual and attentional processing of individual stimulus features. Additionally, a computational approach has been applied and showed a transition away from purely abstraction-based learning to an exemplar-based learning in the middle block for both groups. However, the calculated models provide a better fit for younger subjects than for elderly subjects. The current study demonstrates that human categorization learning is based on early abstraction-based processing followed by an exemplar-memorization stage. This strategy combination facilitates the learning of real world categories with a nuanced category structure. In addition, the present study suggests that categorization learning is affected by normal aging and modulated by perceptual processing and visual attention. Copyright © 2016 Elsevier Ltd. All rights reserved.

Optical Coherence Tomography Machine Learning Classifiers for Glaucoma Detection: A Preliminary Study

PubMed Central

Burgansky-Eliash, Zvia; Wollstein, Gadi; Chu, Tianjiao; Ramsey, Joseph D.; Glymour, Clark; Noecker, Robert J.; Ishikawa, Hiroshi; Schuman, Joel S.

2007-01-01

Purpose Machine-learning classifiers are trained computerized systems with the ability to detect the relationship between multiple input parameters and a diagnosis. The present study investigated whether the use of machine-learning classifiers improves optical coherence tomography (OCT) glaucoma detection. Methods Forty-seven patients with glaucoma (47 eyes) and 42 healthy subjects (42 eyes) were included in this cross-sectional study. Of the glaucoma patients, 27 had early disease (visual field mean deviation [MD] ≥ −6 dB) and 20 had advanced glaucoma (MD < −6 dB). Machine-learning classifiers were trained to discriminate between glaucomatous and healthy eyes using parameters derived from OCT output. The classifiers were trained with all 38 parameters as well as with only 8 parameters that correlated best with the visual field MD. Five classifiers were tested: linear discriminant analysis, support vector machine, recursive partitioning and regression tree, generalized linear model, and generalized additive model. For the last two classifiers, a backward feature selection was used to find the minimal number of parameters that resulted in the best and most simple prediction. The cross-validated receiver operating characteristic (ROC) curve and accuracies were calculated. Results The largest area under the ROC curve (AROC) for glaucoma detection was achieved with the support vector machine using eight parameters (0.981). The sensitivity at 80% and 95% specificity was 97.9% and 92.5%, respectively. This classifier also performed best when judged by cross-validated accuracy (0.966). The best classification between early glaucoma and advanced glaucoma was obtained with the generalized additive model using only three parameters (AROC = 0.854). Conclusions Automated machine classifiers of OCT data might be useful for enhancing the utility of this technology for detecting glaucomatous abnormality. PMID:16249492

Gender and Early Learning Environments. Research on Women and Education

ERIC Educational Resources Information Center

Irby, Beverly, Ed.; Brown, Genevieve H., Ed.

2011-01-01

The Research on Women and Education SIG of the American Educational Research Association presents the third book in its series, Gender and Early Learning Environments. Finding after the publication of Gender and Schooling in the Early Years, the second book in the series, that there was and is a paucity of published literature on early childhood…

Making the Case for Early Identification and Intervention for Young Children at Risk for Learning Disabilities

ERIC Educational Resources Information Center

Steele, Marcee M.

2004-01-01

The early identification of children with learning disabilities (LD) is difficult but can be accomplished. Observation of key behaviors which are indicators of LD by preschool and kindergarten teachers can assist in this process. This early identification facilitates the use of intervention strategies to provide a positive early experience for…

Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks

PubMed Central

Brosch, Tobias; Neumann, Heiko; Roelfsema, Pieter R.

2015-01-01

The processing of a visual stimulus can be subdivided into a number of stages. Upon stimulus presentation there is an early phase of feedforward processing where the visual information is propagated from lower to higher visual areas for the extraction of basic and complex stimulus features. This is followed by a later phase where horizontal connections within areas and feedback connections from higher areas back to lower areas come into play. In this later phase, image elements that are behaviorally relevant are grouped by Gestalt grouping rules and are labeled in the cortex with enhanced neuronal activity (object-based attention in psychology). Recent neurophysiological studies revealed that reward-based learning influences these recurrent grouping processes, but it is not well understood how rewards train recurrent circuits for perceptual organization. This paper examines the mechanisms for reward-based learning of new grouping rules. We derive a learning rule that can explain how rewards influence the information flow through feedforward, horizontal and feedback connections. We illustrate the efficiency with two tasks that have been used to study the neuronal correlates of perceptual organization in early visual cortex. The first task is called contour-integration and demands the integration of collinear contour elements into an elongated curve. We show how reward-based learning causes an enhancement of the representation of the to-be-grouped elements at early levels of a recurrent neural network, just as is observed in the visual cortex of monkeys. The second task is curve-tracing where the aim is to determine the endpoint of an elongated curve composed of connected image elements. If trained with the new learning rule, neural networks learn to propagate enhanced activity over the curve, in accordance with neurophysiological data. We close the paper with a number of model predictions that can be tested in future neurophysiological and computational studies. PMID:26496502

Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey

PubMed Central

Xue, Yong; Chen, Shihui; Liu, Yong

2017-01-01

Molecular imaging enables the visualization and quantitative analysis of the alterations of biological procedures at molecular and/or cellular level, which is of great significance for early detection of cancer. In recent years, deep leaning has been widely used in medical imaging analysis, as it overcomes the limitations of visual assessment and traditional machine learning techniques by extracting hierarchical features with powerful representation capability. Research on cancer molecular images using deep learning techniques is also increasing dynamically. Hence, in this paper, we review the applications of deep learning in molecular imaging in terms of tumor lesion segmentation, tumor classification, and survival prediction. We also outline some future directions in which researchers may develop more powerful deep learning models for better performance in the applications in cancer molecular imaging. PMID:29114182

A deep learning method for early screening of lung cancer

NASA Astrophysics Data System (ADS)

Zhang, Kunpeng; Jiang, Huiqin; Ma, Ling; Gao, Jianbo; Yang, Xiaopeng

2018-04-01

Lung cancer is the leading cause of cancer-related deaths among men. In this paper, we propose a pulmonary nodule detection method for early screening of lung cancer based on the improved AlexNet model. In order to maintain the same image quality as the existing B/S architecture PACS system, we convert the original CT image into JPEG format image by analyzing the DICOM file firstly. Secondly, in view of the large size and complex background of CT chest images, we design the convolution neural network on basis of AlexNet model and sparse convolution structure. At last we train our models on the software named DIGITS which is provided by NVIDIA. The main contribution of this paper is to apply the convolutional neural network for the early screening of lung cancer and improve the screening accuracy by combining the AlexNet model with the sparse convolution structure. We make a series of experiments on the chest CT images using the proposed method, of which the sensitivity and specificity indicates that the method presented in this paper can effectively improve the accuracy of early screening of lung cancer and it has certain clinical significance at the same time.

Early literacy experiences constrain L1 and L2 reading procedures

PubMed Central

Bhide, Adeetee

2015-01-01

Computational models of reading posit that there are two pathways to word recognition, using sublexical phonology or morphological/orthographic information. They further theorize that everyone uses both pathways to some extent, but the division of labor between the pathways can vary. This review argues that the first language one was taught to read, and the instructional method by which one was taught, can have profound and long-lasting effects on how one reads, not only in one’s first language, but also in one’s second language. Readers who first learn a transparent orthography rely more heavily on the sublexical phonology pathway, and this seems relatively impervious to instruction. Readers who first learn a more opaque orthography rely more on morphological/orthographic information, but the degree to which they do so can be modulated by instructional method. Finally, readers who first learned to read a highly opaque morphosyllabic orthography use less sublexical phonology while reading in their second language than do other second language learners and this effect may be heightened if they were not also exposed to an orthography that codes for phonological units during early literacy acquisition. These effects of early literacy experiences on reading procedure are persistent despite increases in reading ability. PMID:26483714

Honoring Family and Culture: Learning from New Zealand

ERIC Educational Resources Information Center

Nagel, Nancy G.

2009-01-01

The New Zealand Ministry of Education's early childhood curriculum policy is built on a framework called "Te Whariki." This framework provides a sociocultural context for children's early learning and emphasizes a learning partnership between teachers, parents, families, and community. Besides interpersonal relationships, Te Whariki…

Utilizing Chinese Admission Records for MACE Prediction of Acute Coronary Syndrome

PubMed Central

Hu, Danqing; Huang, Zhengxing; Chan, Tak-Ming; Dong, Wei; Lu, Xudong; Duan, Huilong

2016-01-01

Background: Clinical major adverse cardiovascular event (MACE) prediction of acute coronary syndrome (ACS) is important for a number of applications including physician decision support, quality of care assessment, and efficient healthcare service delivery on ACS patients. Admission records, as typical media to contain clinical information of patients at the early stage of their hospitalizations, provide significant potential to be explored for MACE prediction in a proactive manner. Methods: We propose a hybrid approach for MACE prediction by utilizing a large volume of admission records. Firstly, both a rule-based medical language processing method and a machine learning method (i.e., Conditional Random Fields (CRFs)) are developed to extract essential patient features from unstructured admission records. After that, state-of-the-art supervised machine learning algorithms are applied to construct MACE prediction models from data. Results: We comparatively evaluate the performance of the proposed approach on a real clinical dataset consisting of 2930 ACS patient samples collected from a Chinese hospital. Our best model achieved 72% AUC in MACE prediction. In comparison of the performance between our models and two well-known ACS risk score tools, i.e., GRACE and TIMI, our learned models obtain better performances with a significant margin. Conclusions: Experimental results reveal that our approach can obtain competitive performance in MACE prediction. The comparison of classifiers indicates the proposed approach has a competitive generality with datasets extracted by different feature extraction methods. Furthermore, our MACE prediction model obtained a significant improvement by comparison with both GRACE and TIMI. It indicates that using admission records can effectively provide MACE prediction service for ACS patients at the early stage of their hospitalizations. PMID:27649220

Early Learning Left Out: Building an Early-Learning System to Secure America's Future. Federal, State and School District Investments by Child Age. 4th Edition. 2010-2012

ERIC Educational Resources Information Center

Bruner, Charles

2013-01-01

As a society, are we investing enough in our youngest children? The BUILD Initiative's latest report, Early Learning Left Out, by CFPC director Charles Bruner, provides a clear answer that current investments fall far short. The report draws upon the most recent federal, state, and public school budget information--and what we know about effective…

Learning and Teaching Early Math: The Learning Trajectories Approach, 2nd Edition. Studies in Mathematical Thinking and Learning Series

ERIC Educational Resources Information Center

Clements, Douglas H.; Sarama, Julie

2014-01-01

In this important book for pre- and in-service teachers, early math experts Douglas Clements and Julie Sarama show how "learning trajectories" help diagnose a child's level of mathematical understanding and provide guidance for teaching. By focusing on the inherent delight and curiosity behind young children's mathematical reasoning,…

Quality of the Home Learning Environment during Preschool Age--Domains and Contextual Conditions

ERIC Educational Resources Information Center

Kluczniok, Katharina; Lehrl, Simone; Kuger, Susanne; Rossbach, Hans-Guenther

2013-01-01

The quality of the home learning environment has been proven to be of major importance for child development, but little is known about the role of domain specificity in promoting early childhood learning at home and its dependence on family background. This article presents a framework of the home learning environment in early childhood that…

When Service Learning Meets the Project Approach: Incorporating Service Learning in an Early Childhood Program

ERIC Educational Resources Information Center

Chun, Eul Jung; Hertzog, Nancy B.; Gaffney, Janet S.; Dymond, Stacy K.

2012-01-01

The researchers described in this case study how Service Learning was incorporated within the context of an early childhood program where the teachers used the Project Approach. The Service Learning project was embedded in an investigation about water and was designed to help tsunami victims in Asia. Participants included two teachers and 12…

Learning Partnerships in Rural Early Childhood Settings.

ERIC Educational Resources Information Center

Coombe, Kennece; Lubawy, Joy

A study examined six aspects of learning communities in early childhood settings in rural New South Wales (Australia). These aspects are reflection, individual development, diversity, conversation, caring, and shared responsibility. Surveys of 15 directors of early childhood programs indicated that the reflective component of the learning…

Math in Riley's World

ERIC Educational Resources Information Center

Kritzer, Karen L.

2011-01-01

In their overview for the prekindergarten-grade 2 Standards, the National Council for Teachers of Mathematics (NCTM) documents the value of early mathematical environments. During these early years, young children are building beliefs about what mathematics is and learning about themselves as early mathematicians. What young children learn about…

Early life programming of innate fear and fear learning in adult female rats.

PubMed

Stevenson, Carl W; Meredith, John P; Spicer, Clare H; Mason, Rob; Marsden, Charles A

2009-03-02

The early rearing environment can impact on emotional reactivity and learning later in life. In this study the effects of neonatal maternal separation (MS) on innate fear and fear learning were assessed in the adult female rat. Pups were subjected to MS (360 min), brief handling (H; 15 min), or animal facility rearing (AFR) on post-natal days 2-14. In the first experiment, innate fear was tested in the open field. No differences between the early rearing groups were observed in unconditioned fear. In the second experiment, separate cohorts were used in a 3-day fear learning paradigm which tested the acquisition (Day 1), expression and extinction (both Day 2) of conditioning to an auditory cue; extinction recall was determined as well (Day 3). Contextual fear conditioning was also assessed prior to cue presentations on Days 2 and 3. Whereas MS attenuated the acquisition and expression of fear conditioning to the cue, H potentiated extinction learning. Cue-induced fear was reduced on Day 3, compared to Day 2, indicating that the recall of extinction learning was evident; however, no early rearing group differences in extinction recall were observed. Similarly, while contextual fear was decreased on Day 3, compared to Day 2, there were no differences between the early rearing groups on either day tested. The present findings of altered cue-conditioned fear learning, in the absence of innate fear changes, lend further support for the important role of the early rearing environment in mediating cognition in adulthood.

Functionality of empirical model-based predictive analytics for the early detection of hemodynamic instabilty.

PubMed

Summers, Richard L; Pipke, Matt; Wegerich, Stephan; Conkright, Gary; Isom, Kristen C

2014-01-01

Background. Monitoring cardiovascular hemodynamics in the modern clinical setting is a major challenge. Increasing amounts of physiologic data must be analyzed and interpreted in the context of the individual patient’s pathology and inherent biologic variability. Certain data-driven analytical methods are currently being explored for smart monitoring of data streams from patients as a first tier automated detection system for clinical deterioration. As a prelude to human clinical trials, an empirical multivariate machine learning method called Similarity-Based Modeling (“SBM”), was tested in an In Silico experiment using data generated with the aid of a detailed computer simulator of human physiology (Quantitative Circulatory Physiology or “QCP”) which contains complex control systems with realistic integrated feedback loops. Methods. SBM is a kernel-based, multivariate machine learning method that that uses monitored clinical information to generate an empirical model of a patient’s physiologic state. This platform allows for the use of predictive analytic techniques to identify early changes in a patient’s condition that are indicative of a state of deterioration or instability. The integrity of the technique was tested through an In Silico experiment using QCP in which the output of computer simulations of a slowly evolving cardiac tamponade resulted in progressive state of cardiovascular decompensation. Simulator outputs for the variables under consideration were generated at a 2-min data rate (0.083Hz) with the tamponade introduced at a point 420 minutes into the simulation sequence. The functionality of the SBM predictive analytics methodology to identify clinical deterioration was compared to the thresholds used by conventional monitoring methods. Results. The SBM modeling method was found to closely track the normal physiologic variation as simulated by QCP. With the slow development of the tamponade, the SBM model are seen to disagree while the simulated biosignals in the early stages of physiologic deterioration and while the variables are still within normal ranges. Thus, the SBM system was found to identify pathophysiologic conditions in a timeframe that would not have been detected in a usual clinical monitoring scenario. Conclusion. In this study the functionality of a multivariate machine learning predictive methodology that that incorporates commonly monitored clinical information was tested using a computer model of human physiology. SBM and predictive analytics were able to differentiate a state of decompensation while the monitored variables were still within normal clinical ranges. This finding suggests that the SBM could provide for early identification of a clinical deterioration using predictive analytic techniques. predictive analytics, hemodynamic, monitoring.

Learning by teaching: undergraduate engineering students improving a community's response capability to an early warning system

NASA Astrophysics Data System (ADS)

Suvannatsiri, Ratchasak; Santichaianant, Kitidech; Murphy, Elizabeth

2015-01-01

This paper reports on a project in which students designed, constructed and tested a model of an existing early warning system with simulation of debris flow in a context of a landslide. Students also assessed rural community members' knowledge of this system and subsequently taught them to estimate the time needed for evacuation of the community in the event of a landslide. Participants were four undergraduate students in a civil engineering programme at a university in Thailand, as well as nine community members and three external evaluators. Results illustrate project and problem-based, experiential learning and highlight the real-world applications and development of knowledge and of hard and soft skills. The discussion raises issues of scalability and feasibility for implementation of these types of projects in large undergraduate engineering classes.

Models of vocal learning in the songbird: Historical frameworks and the stabilizing critic.

PubMed

Nick, Teresa A

2015-10-01

Birdsong is a form of sensorimotor learning that involves a mirror-like system that activates with both song hearing and production. Early models of song learning, based on behavioral measures, identified key features of vocal plasticity, such as the requirements for memorization of a tutor song and auditory feedback during song practice. The concept of a comparator, which compares the memory of the tutor song to auditory feedback, featured prominently. Later models focused on linking anatomically-defined neural modules to behavioral concepts, such as the comparator. Exploiting the anatomical modularity of the songbird brain, localized lesions illuminated mechanisms of the neural song system. More recent models have integrated neuronal mechanisms identified in other systems with observations in songbirds. While these models explain multiple aspects of song learning, they must incorporate computational elements based on unknown biological mechanisms to bridge the motor-to-sensory delay and/or transform motor signals into the sensory domain. Here, I introduce the stabilizing critic hypothesis, which enables sensorimotor learning by (1) placing a purely sensory comparator afferent of the song system and (2) endowing song system disinhibitory interneuron networks with the capacity both to bridge the motor-sensory delay through prolonged bursting and to stabilize song segments selectively based on the comparator signal. These proposed networks stabilize an otherwise variable signal generated by both putative mirror neurons and a cortical-basal ganglia-thalamic loop. This stabilized signal then temporally converges with a matched premotor signal in the efferent song motor cortex, promoting spike-timing-dependent plasticity in the premotor circuitry and behavioral song learning. © 2014 Wiley Periodicals, Inc.

Predicting distant failure in early stage NSCLC treated with SBRT using clinical parameters.

PubMed

Zhou, Zhiguo; Folkert, Michael; Cannon, Nathan; Iyengar, Puneeth; Westover, Kenneth; Zhang, Yuanyuan; Choy, Hak; Timmerman, Robert; Yan, Jingsheng; Xie, Xian-J; Jiang, Steve; Wang, Jing

2016-06-01

The aim of this study is to predict early distant failure in early stage non-small cell lung cancer (NSCLC) treated with stereotactic body radiation therapy (SBRT) using clinical parameters by machine learning algorithms. The dataset used in this work includes 81 early stage NSCLC patients with at least 6months of follow-up who underwent SBRT between 2006 and 2012 at a single institution. The clinical parameters (n=18) for each patient include demographic parameters, tumor characteristics, treatment fraction schemes, and pretreatment medications. Three predictive models were constructed based on different machine learning algorithms: (1) artificial neural network (ANN), (2) logistic regression (LR) and (3) support vector machine (SVM). Furthermore, to select an optimal clinical parameter set for the model construction, three strategies were adopted: (1) clonal selection algorithm (CSA) based selection strategy; (2) sequential forward selection (SFS) method; and (3) statistical analysis (SA) based strategy. 5-cross-validation is used to validate the performance of each predictive model. The accuracy was assessed by area under the receiver operating characteristic (ROC) curve (AUC), sensitivity and specificity of the system was also evaluated. The AUCs for ANN, LR and SVM were 0.75, 0.73, and 0.80, respectively. The sensitivity values for ANN, LR and SVM were 71.2%, 72.9% and 83.1%, while the specificity values for ANN, LR and SVM were 59.1%, 63.6% and 63.6%, respectively. Meanwhile, the CSA based strategy outperformed SFS and SA in terms of AUC, sensitivity and specificity. Based on clinical parameters, the SVM with the CSA optimal parameter set selection strategy achieves better performance than other strategies for predicting distant failure in lung SBRT patients. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Linking Developmental Working Memory and Early Academic Skills

ERIC Educational Resources Information Center

Decker, Janice E.

2011-01-01

Brain-based initiatives and school readiness mandates in education have prompted researchers to examine the biological mechanisms associated with learning in the hope that understanding empirical evidence can maximize learning potential. Current research has examined working memory skills in relationship to early learning. The function of working…

Mobile Learning and Early Age Mathematics

ERIC Educational Resources Information Center

Peled, Shir; Schocken, Shimon

2014-01-01

The ability to develop engaging simulations and constructive learning experiences using mobile devices is unprecedented, presenting a disruption in educational practices of historical proportions. In this paper we describe some of the unique virtues that mobile learning hold for early age mathematics education. In particular, we describe how…

Early Identification of Ineffective Cooperative Learning Teams

ERIC Educational Resources Information Center

Hsiung, C .M.; Luo, L. F.; Chung, H. C.

2014-01-01

Cooperative learning has many pedagogical benefits. However, if the cooperative learning teams become ineffective, these benefits are lost. Accordingly, this study developed a computer-aided assessment method for identifying ineffective teams at their early stage of dysfunction by using the Mahalanobis distance metric to examine the difference…

Short-range quantitative precipitation forecasting using Deep Learning approaches

NASA Astrophysics Data System (ADS)

Akbari Asanjan, A.; Yang, T.; Gao, X.; Hsu, K. L.; Sorooshian, S.

2017-12-01

Predicting short-range quantitative precipitation is very important for flood forecasting, early flood warning and other hydrometeorological purposes. This study aims to improve the precipitation forecasting skills using a recently developed and advanced machine learning technique named Long Short-Term Memory (LSTM). The proposed LSTM learns the changing patterns of clouds from Cloud-Top Brightness Temperature (CTBT) images, retrieved from the infrared channel of Geostationary Operational Environmental Satellite (GOES), using a sophisticated and effective learning method. After learning the dynamics of clouds, the LSTM model predicts the upcoming rainy CTBT events. The proposed model is then merged with a precipitation estimation algorithm termed Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) to provide precipitation forecasts. The results of merged LSTM with PERSIANN are compared to the results of an Elman-type Recurrent Neural Network (RNN) merged with PERSIANN and Final Analysis of Global Forecast System model over the states of Oklahoma, Florida and Oregon. The performance of each model is investigated during 3 storm events each located over one of the study regions. The results indicate the outperformance of merged LSTM forecasts comparing to the numerical and statistical baselines in terms of Probability of Detection (POD), False Alarm Ratio (FAR), Critical Success Index (CSI), RMSE and correlation coefficient especially in convective systems. The proposed method shows superior capabilities in short-term forecasting over compared methods.

Animal models for posttraumatic stress disorder: An overview of what is used in research

PubMed Central

Borghans, Bart; Homberg, Judith R

2015-01-01

Posttraumatic stress disorder (PTSD) is a common anxiety disorder characterised by its persistence of symptoms after a traumatic experience. Although some patients can be cured, many do not benefit enough from the psychological therapies or medication strategies used. Many researchers use animal models to learn more about the disorder and several models are available. The most-used physical stressor models are single-prolonged stress, restraint stress, foot shock, stress-enhanced fear learning, and underwater trauma. Common social stressors are housing instability, social instability, early-life stress, and social defeat. Psychological models are not as diverse and rely on controlled exposure to the test animal’s natural predator. While validation of these models has been resolved with replicated symptoms using analogous stressors, translating new findings to human patients remains essential for their impact on the field. Choosing a model to experiment with can be challenging; this overview of what is possible with individual models may aid in making a decision. PMID:26740930

Equal Access to Early Learning. Cantigny Conference Report (Chicago, Illinois, June 5-7, 2001).

ERIC Educational Resources Information Center

National Black Child Development Inst., Inc., Washington, DC.

Despite a growing acknowledgement that the United States needs to invest more in the early care and education needs of children, the country lacks a common vision for a comprehensive approach to an early childhood care and education system. The Equal Access to Early Learning Conference, sponsored by the National Black Child Development Institute…

Value of Play as An Early Learning Instrument in Bangladesh Context: A Socio-Cultural Study

ERIC Educational Resources Information Center

Chowdhury, Nurun Nahar; Rivalland, Corine

2012-01-01

In early childhood education the dominant discourse of play-based pedagogy is greatly influenced by a western play approach. This paper examines how play is valued as early learning in Bangladesh. It reports on a qualitative study that explored the understandings of four parents and four early childhood educators in semi-rural Bangladesh. Findings…

An Ecological Footprint for an Early Learning Centre: Identifying Opportunities for Early Childhood Sustainability Education through Interdisciplinary Research

ERIC Educational Resources Information Center

McNichol, Heidi; Davis, Julie Margaret; O'Brien, Katherine R.

2011-01-01

In this study, engineers and educators worked together to adapt and apply the ecological footprint (EF) methodology to an early learning centre in Brisbane, Australia. Results were analysed to determine how environmental impact can be reduced at the study site and more generally across early childhood settings. It was found that food, transport…

The acquisition process of musical tonal schema: implications from connectionist modeling.

PubMed

Matsunaga, Rie; Hartono, Pitoyo; Abe, Jun-Ichi

2015-01-01

Using connectionist modeling, we address fundamental questions concerning the acquisition process of musical tonal schema of listeners. Compared to models of previous studies, our connectionist model (Learning Network for Tonal Schema, LeNTS) was better equipped to fulfill three basic requirements. Specifically, LeNTS was equipped with a learning mechanism, bound by culture-general properties, and trained by sufficient melody materials. When exposed to Western music, LeNTS acquired musical 'scale' sensitivity early and 'harmony' sensitivity later. The order of acquisition of scale and harmony sensitivities shown by LeNTS was consistent with the culture-specific acquisition order shown by musically westernized children. The implications of these results for the acquisition process of a tonal schema of listeners are as follows: (a) the acquisition process may entail small and incremental changes, rather than large and stage-like changes, in corresponding neural circuits; (b) the speed of schema acquisition may mainly depend on musical experiences rather than maturation; and (c) the learning principles of schema acquisition may be culturally invariant while the acquired tonal schemas are varied with exposed culture-specific music.

The acquisition process of musical tonal schema: implications from connectionist modeling

PubMed Central

Matsunaga, Rie; Hartono, Pitoyo; Abe, Jun-ichi

2015-01-01

Using connectionist modeling, we address fundamental questions concerning the acquisition process of musical tonal schema of listeners. Compared to models of previous studies, our connectionist model (Learning Network for Tonal Schema, LeNTS) was better equipped to fulfill three basic requirements. Specifically, LeNTS was equipped with a learning mechanism, bound by culture-general properties, and trained by sufficient melody materials. When exposed to Western music, LeNTS acquired musical ‘scale’ sensitivity early and ‘harmony’ sensitivity later. The order of acquisition of scale and harmony sensitivities shown by LeNTS was consistent with the culture-specific acquisition order shown by musically westernized children. The implications of these results for the acquisition process of a tonal schema of listeners are as follows: (a) the acquisition process may entail small and incremental changes, rather than large and stage-like changes, in corresponding neural circuits; (b) the speed of schema acquisition may mainly depend on musical experiences rather than maturation; and (c) the learning principles of schema acquisition may be culturally invariant while the acquired tonal schemas are varied with exposed culture-specific music. PMID:26441725

Screen time and young children: Promoting health and development in a digital world.

PubMed

2017-11-01

The digital landscape is evolving more quickly than research on the effects of screen media on the development, learning and family life of young children. This statement examines the potential benefits and risks of screen media in children younger than 5 years, focusing on developmental, psychosocial and physical health. Evidence-based guidance to optimize and support children's early media experiences involves four principles: minimizing, mitigating, mindfully using and modelling healthy use of screens. Knowing how young children learn and develop informs best practice strategies for health care providers.

Hippocampal LTP and contextual learning require surface diffusion of AMPA receptors.

PubMed

Penn, A C; Zhang, C L; Georges, F; Royer, L; Breillat, C; Hosy, E; Petersen, J D; Humeau, Y; Choquet, D

2017-09-21

Long-term potentiation (LTP) of excitatory synaptic transmission has long been considered a cellular correlate for learning and memory. Early LTP (less than 1 h) had initially been explained either by presynaptic increases in glutamate release or by direct modification of postsynaptic AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid) receptor function. Compelling models have more recently proposed that synaptic potentiation can occur by the recruitment of additional postsynaptic AMPA receptors (AMPARs), sourced either from an intracellular reserve pool by exocytosis or from nearby extra-synaptic receptors pre-existing on the neuronal surface. However, the exact mechanism through which synapses can rapidly recruit new AMPARs during early LTP remains unknown. In particular, direct evidence for a pivotal role of AMPAR surface diffusion as a trafficking mechanism in synaptic plasticity is still lacking. Here, using AMPAR immobilization approaches, we show that interfering with AMPAR surface diffusion markedly impairs synaptic potentiation of Schaffer collaterals and commissural inputs to the CA1 area of the mouse hippocampus in cultured slices, acute slices and in vivo. Our data also identify distinct contributions of various AMPAR trafficking routes to the temporal profile of synaptic potentiation. In addition, AMPAR immobilization in vivo in the dorsal hippocampus inhibited fear conditioning, indicating that AMPAR diffusion is important for the early phase of contextual learning. Therefore, our results provide a direct demonstration that the recruitment of new receptors to synapses by surface diffusion is a critical mechanism for the expression of LTP and hippocampal learning. Since AMPAR surface diffusion is dictated by weak Brownian forces that are readily perturbed by protein-protein interactions, we anticipate that this fundamental trafficking mechanism will be a key target for modulating synaptic potentiation and learning.

Adult Neuropsychological Performance Following Prenatal and Early Postnatal Exposure to Tetrachloroethylene (PCE)-contaminated Drinking Water

PubMed Central

Janulewicz, Patricia A; White, Roberta F; Martin, Brett M; Winter, Michael R; Weinberg, Janice M; Vieira, Veronica; Aschengrau, Ann

2012-01-01

This population-based retrospective cohort study examined adult performance on a battery of neuropsychological tests in relation to prenatal and early postnatal exposure to tetrachloroethylene (PCE)-contaminated drinking water on Cape Cod, Massachusetts. Subjects were identified through birth records from 1969 through 1983. Exposure was modeled using pipe network information from town water departments, a PCE leaching and transport algorithm, EPANet water flow modeling software, and a Geographic Information System (GIS). Results of crude and multivariate analyses among 35 exposed and 28 unexposed subjects showed no association between prenatal and early postnatal exposure and decrements on tests that assess abilities in the domains of omnibus intelligence, academic achievement or language. The results were suggestive of an association between prenatal and early postnatal PCE exposure and diminished performance on tests that assessed abilities in the domains of visuospatial functioning, learning and memory, motor, attention and mood. Because the sample size was small, most findings were not statistically significant. Future studies with larger sample sizes should be conducted to further define the neuropsychological consequences of early developmental PCE exposure. PMID:22522125

A mouse model of fragile X syndrome exhibits heightened arousal and/or emotion following errors or reversal of contingencies.

PubMed

Moon, J; Ota, K T; Driscoll, L L; Levitsky, D A; Strupp, B J

2008-07-01

This study was designed to further assess cognitive and affective functioning in a mouse model of Fragile X syndrome (FXS), the Fmr1(tm1Cgr) or Fmr1 "knockout" (KO) mouse. Male KO mice and wild-type littermate controls were tested on learning set and reversal learning tasks. The KO mice were not impaired in associative learning, transfer of learning, or reversal learning, based on measures of learning rate. Analyses of videotapes of the reversal learning task revealed that both groups of mice exhibited higher levels of activity and wall-climbing during the initial sessions of the task than during the final sessions, a pattern also seen for trials following an error relative to those following a correct response. Notably, the increase in both behavioral measures seen early in the task was significantly more pronounced for the KO mice than for controls, as was the error-induced increase in activity level. This pattern of effects suggests that the KO mice reacted more strongly than controls to the reversal of contingencies and pronounced drop in reinforcement rate, and to errors in general. This pattern of effects is consistent with the heightened emotional reactivity frequently described for humans with FXS. (c) 2008 Wiley Periodicals, Inc.

Early Foreign Language Learning: The Biological Perspective.

ERIC Educational Resources Information Center

Peltzer-Karpf, Annemarie

A discussion of the biological and developmental issues in early second language learning first looks at psycholinguistic research on brain growth patterns and the relationship of first and second language learning. Focus is on three phenomena observed in the self-organization of living systems: selection of input data; organization of specialized…

Early Education of the Language-Learning Handicapped Child.

ERIC Educational Resources Information Center

Easter Seal Treatment Center of Montgomery County, Rockville, MD.

The brochure descrbies a demonstration program on the early education of the language learning handicapped preschool child. Discussed are symptoms of the language learning problem (such as misunderstanding what is said), a remedial approach based on specific disability intervention, the Easter Seal Treatment Center, project objectives (such as the…

Early Learning and Development: Cultural-Historical Concepts in Play

ERIC Educational Resources Information Center

Fleer, Marilyn

2010-01-01

"Early Learning and Development" provides a unique synthesis of cultural-historical theory from Vygotsky, Elkonin and Leontiev in the 20th century to the ground-breaking research of scholars such as Siraj-Blatchford, Kratsova and Hedegaard today. It demonstrates how development and learning are culturally embedded and institutionally defined, and…

Preventing Early Learning Failure.

ERIC Educational Resources Information Center

Sornson, Bob, Ed.

Noting that thousands of young children with the capacity to experience school success do not because they are unprepared for school learning activities, have experienced physical or emotional setbacks that cause them to be at risk for early learning failure, have never experienced limits on their behavior, or have mild sensory or motor deficits,…

Race to the Top - Early Learning Challenge: 2015 Annual Performance Report. Maryland

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2016

2016-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2015 describes Maryland's accomplishments, lessons learned, challenges, and strategies Maryland will implement to address those challenges. Maryland's remarkable progress in increasing participation in their tiered quality rating and improvement…

Race to the Top - Early Learning Challenge: 2015 Annual Performance Report. Vermont

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2016

2016-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2015 describes Vermont's accomplishments, lessons learned, challenges, and strategies Vermont will implement to address those challenges. Vermont's remarkable progress in increasing participation in their tiered quality rating and improvement system,…

Race to the Top - Early Learning Challenge: 2015 Annual Performance Report. Pennsylvania

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2016

2016-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2015 describes Pennsylvania's accomplishments, lessons learned, challenges, and strategies Pennsylvania will implement to address those challenges. Pennsylvania's remarkable progress in increasing participation in their tiered quality rating and…

Race to the Top - Early Learning Challenge: 2015 Annual Performance Report. Minnesota

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2016

2016-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2015 describes Minnesota's accomplishments, lessons learned, challenges, and strategies Minnesota will implement to address those challenges. Minnesota's remarkable progress in increasing participation in their tiered quality rating and improvement…

Addressing Early Learning Standards for All Children within Blended Preschool Classrooms

ERIC Educational Resources Information Center

Grisham-Brown, Jennifer; Pretti-Frontczak, Kristie; Hawkins, Sarah R.; Winchell, Brooke N.

2009-01-01

Preschool teachers working in blended classrooms are faced with identifying which children need intensive instruction as well as being responsible for directly linking individualized learning outcomes with state or federal early learning standards. The series of studies presented were designed to illustrate how teachers working in blended…

Optimizing Computer Assisted Instruction By Applying Principles of Learning Theory.

ERIC Educational Resources Information Center

Edwards, Thomas O.

The development of learning theory and its application to computer-assisted instruction (CAI) are described. Among the early theoretical constructs thought to be important are E. L. Thorndike's concept of learning connectisms, Neal Miller's theory of motivation, and B. F. Skinner's theory of operant conditioning. Early devices incorporating those…

In Defense of Active Learning

ERIC Educational Resources Information Center

Pica, Rae

2008-01-01

Effective early childhood teachers use what they know about and have observed in young children to design programs to meet children's developmental needs. Play and active learning are key tools to address those needs and facilitate children's early education. In this article, the author discusses the benefits of active learning in the education of…

Early Foundations for Mathematics Learning and Their Relations to Learning Disabilities.

PubMed

Geary, David C

2013-02-01

Children's quantitative competencies upon entry into school can have lifelong consequences. Children who start behind generally stay behind, and mathematical skills at school completion influence employment prospects and wages in adulthood. I review the current debate over whether early quantitative learning is supported by (a) an inherent system for representing approximate magnitudes, (b) an attentional-control system that enables explicit processing of quantitative symbols, such as Arabic numerals, or (c) the logical problem-solving abilities that facilitate learning of the relations among numerals. Studies of children with mathematical learning disabilities and difficulties have suggested that each of these competencies may be involved, but to different degrees and at different points in the learning process. Clarifying how and when these competencies facilitate early quantitative learning and developing interventions to address their impact on children have the potential to yield substantial benefits for individuals and for society.

Differential impact of relevant and irrelevant dimension primes on rule-based and information-integration category learning.

PubMed

Grimm, Lisa R; Maddox, W Todd

2013-11-01

Research has identified multiple category-learning systems with each being "tuned" for learning categories with different task demands and each governed by different neurobiological systems. Rule-based (RB) classification involves testing verbalizable rules for category membership while information-integration (II) classification requires the implicit learning of stimulus-response mappings. In the first study to directly test rule priming with RB and II category learning, we investigated the influence of the availability of information presented at the beginning of the task. Participants viewed lines that varied in length, orientation, and position on the screen, and were primed to focus on stimulus dimensions that were relevant or irrelevant to the correct classification rule. In Experiment 1, we used an RB category structure, and in Experiment 2, we used an II category structure. Accuracy and model-based analyses suggested that a focus on relevant dimensions improves RB task performance later in learning while a focus on an irrelevant dimension improves II task performance early in learning. © 2013.

Theory of mind selectively predicts preschoolers’ knowledge-based selective word learning

PubMed Central

Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

2015-01-01

Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory of mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children’s preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children’s developing social cognition and early learning. PMID:26211504

Theory of mind selectively predicts preschoolers' knowledge-based selective word learning.

PubMed

Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

2015-11-01

Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory-of-mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children's preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children's developing social cognition and early learning. © 2015 The British Psychological Society.

The Significance of the Poetic in Early Childhood Education: Stanley Cavell and Lucy Sprague Mitchell on Language Learning

ERIC Educational Resources Information Center

Frank, Jeff

2012-01-01

This paper begins with a discussion of Stanley Cavell's philosophy of language learning. Young people learn more than the meaning of words when acquiring language: they learn about (the quality of) our form of life. If we--as early childhood educators--see language teaching as something like handing some inert thing to a child, then we unduly…

Creating Learning Environments in the Early Grades That Support Teacher and Student Success: Profiles of Effective Practices in Three Expanded Learning Time Schools

ERIC Educational Resources Information Center

Farbman, David A.; Novoryta, Ami

2016-01-01

In "Creating Learning Environments in the Early Grades that Support Teacher and Student Success," the National Center on Time & Learning (NCTL) profiles three expanded-time elementary schools that leverage a longer school day to better serve young students. In particular, the report describes how a longer day opens up opportunities…

Experience during Early Adulthood Shapes the Learning Capacities and the Number of Synaptic Boutons in the Mushroom Bodies of Honey Bees ("Apis mellifera")

ERIC Educational Resources Information Center

Cabirol, Amélie; Brooks, Rufus; Groh, Claudia; Barron, Andrew B.; Devaud, Jean-Marc

2017-01-01

The honey bee mushroom bodies (MBs) are brain centers required for specific learning tasks. Here, we show that environmental conditions experienced as young adults affect the maturation of MB neuropil and performance in a MB-dependent learning task. Specifically, olfactory reversal learning was selectively impaired following early exposure to an…

The effect of observing novice and expert performance on acquisition of surgical skills on a robotic platform

PubMed Central

Harris, David J.; Vine, Samuel J.; Wilson, Mark R.; McGrath, John S.; LeBel, Marie-Eve

2017-01-01

Background Observational learning plays an important role in surgical skills training, following the traditional model of learning from expertise. Recent findings have, however, highlighted the benefit of observing not only expert performance but also error-strewn performance. The aim of this study was to determine which model (novice vs. expert) would lead to the greatest benefits when learning robotically assisted surgical skills. Methods 120 medical students with no prior experience of robotically-assisted surgery completed a ring-carrying training task on three occasions; baseline, post-intervention and at one-week follow-up. The observation intervention consisted of a video model performing the ring-carrying task, with participants randomly assigned to view an expert model, a novice model, a mixed expert/novice model or no observation (control group). Participants were assessed for task performance and surgical instrument control. Results There were significant group differences post-intervention, with expert and novice observation groups outperforming the control group, but there were no clear group differences at a retention test one week later. There was no difference in performance between the expert-observing and error-observing groups. Conclusions Similar benefits were found when observing the traditional expert model or the error-strewn model, suggesting that viewing poor performance may be as beneficial as viewing expertise in the early acquisition of robotic surgical skills. Further work is required to understand, then inform, the optimal curriculum design when utilising observational learning in surgical training. PMID:29141046

Aging and Intellectual Disability: Insights from Mouse Models of Down Syndrome

ERIC Educational Resources Information Center

Ruparelia, Aarti; Pearn, Matthew L.; Mobley, William C.

2013-01-01

Down syndrome (DS) is one of many causes of intellectual disability (ID), others including but not limited to, fetal alcohol syndrome, Fragile X syndrome, Rett syndrome, Williams syndrome, hypoxia, and infection. Down syndrome is characterized by a number of neurobiological problems resulting in learning and memory deficits and early onset…

Learning To Fly: The Wright Brothers' Adventure.

ERIC Educational Resources Information Center

National Aeronautics and Space Administration, Washington, DC.

This educator guide provides background information on Wilbur and Orville Wright and activities on aeronautics that provide templates for building the 1900, 1901, and 1902 Gliders and the 1903 Flyer. Activities include: (1) Early Aviation; (2) Your First Interview; (3) Your First Report; (4) Build a Model of the 1900 Glider; (5) Questions on the…

Building Model Preschools: The Newark Lighthouse Initiative

ERIC Educational Resources Information Center

Blagman, Amanda; Rice, Cynthia; Seplocha, Holly

2006-01-01

More states are recognizing that preschool is a vital first step toward helping children succeed in school. Ensuring that preschoolers have a high quality early learning experience provides them with the skills they need for later school success. In New Jersey, the poorest school districts have been collaborating with community-based child care…

Battelle Education: Metro Institute of Technology

ERIC Educational Resources Information Center

EDUCAUSE, 2015

2015-01-01

This new district partnership school, slated to open in fall 2015, will serve Columbus, OH students in grades 6-13 in a competency-based, blended learning early college high school model that is focused on both college and career success. The Metro Institute of Technology is designed to solve two problems: (1) capable students may struggle in…

Literacy and Language Teaching and Learning with Interactive Whiteboards in Early Schooling

ERIC Educational Resources Information Center

Prinsloo, Mastin; Sasman, Felicity

2015-01-01

Research on education and technology has sometimes examined model rather than typical practices, and has thus presented an idealized notion of what such resources might offer to situated users in education. This article asks what happens when particular digital resources, designed for one purpose, or carrying particular expectations regarding…

Early Childhood Education: A Model for 21st Century Secondary Education

ERIC Educational Resources Information Center

Berndt, Rene

2012-01-01

As the designer of primary and secondary educational facilities, the author has become familiar with educational thinkers such as Sir Kenneth Robinson, Peter Senge, Ewan McIntosh, Daniel Pink and Howard Gardner--each promoting an approach based on system-thinking, self-directed exploration and multidimensional, interactive learning. In 2009, he…

Conversation as a Model of Instructional Interaction

ERIC Educational Resources Information Center

Van Bramer, Joan

2003-01-01

The role of social context and the nature of human interaction provide rich resources for the study of learning and human cognition. In order to understand these elements more fully, it is important to consider the language in use within these contexts. The early intervention Reading Recovery is grounded in the belief that the conversation between…

Family Literacy Programs: Where Have They Come from and Where Are They Going?

ERIC Educational Resources Information Center

Doyle, Antoinette

2012-01-01

Family literacy programs in North America and the United Kingdom have enjoyed widespread public and political support. Thousands of initiatives following a variety of models currently operate under the spectrum of family literacy programs. In this paper, the influence of learning theories, the research on children's early literacy development, and…

The Impact of Group Activities on Social Relations in an Early Education Setting in Spain

ERIC Educational Resources Information Center

Ortega, Rosario; Romera, Eva M.; Monks, Claire P.

2009-01-01

This article promotes a psychosocial perspective that proposes that relational activities are an enriching factor in pupils' social learning. This study offers a model of intervention, using activities that promote peer-relations among preschoolers. The activities share several characteristics including: (a) being designed to be appropriate for…

Learning to Teach in the Early Years Classroom

ERIC Educational Resources Information Center

Blaise, Mindy; Nuttal, Joce

2011-01-01

"Learning to Teach in the Early Years Classroom" helps teacher education students understand the complexities of teaching in early years' classrooms. It integrates research and theory with practice through vignettes, based on authentic classroom case studies, in order to show students how educators make decisions and achieve expected outcomes.…

Literacy in Early Childhood and Primary Education: Issues, Challenges, Solutions

ERIC Educational Resources Information Center

McLachlan, Claire; Nicholson, Tom; Fielding-Barnsley, Ruth; Mercer, Louise; Ohi, Sarah

2012-01-01

Literacy in Early Childhood and Primary Education provides a comprehensive introduction to literacy teaching and learning. The book explores the continuum of literacy learning and children's transitions from early childhood settings to junior primary classrooms and then to senior primary and beyond. Reader-friendly and accessible, this book equips…

Early Years Teachers' Perspectives on Teaching through Multiple Metaphors and Multimodality

ERIC Educational Resources Information Center

Mildenhall, Paula

2015-01-01

Recent research findings indicate that using multiple metaphors in multimodal learning experiences are effective teaching approaches in early years mathematics. Using a social semiotic lens this paper reports on eight early years teachers' perceptions of this approach whilst engaging in a small collaborative professional learning group. This group…

Learning with Technology for Pre-Service Early Childhood Teachers

ERIC Educational Resources Information Center

Campbell, Anne; Scotellaro, Grazia

2009-01-01

This paper describes an innovative pilot project at the University of Canberra aimed at providing pre-service early childhood teachers with the skills, confidence and ideological change required to include technology-enhanced learning as part of the early childhood curriculum. The impact of the project was evaluated through participant…

The First Three Years: Experiences of Early Career Teachers

ERIC Educational Resources Information Center

Fenwick, Ashley

2011-01-01

This study considers two discourses of current relevance to national and international educators--early professional learning (EPL) and curriculum change. Induction arrangements for early career teachers (ECTs), EPL and informal learning have received considerable attention in the past few years. Changes to induction inevitably have knock-on…

Integrating Early Writing into Science Instruction in Preschool

ERIC Educational Resources Information Center

Wheatley, Barbara C.; Gerde, Hope K.; Cabell, Sonia Q.

2016-01-01

Providing children with early writing opportunities in preschool is a meaningful way to facilitate their language and literacy learning. Young children have an innate curiosity of the natural world around them that motivates their learning; therefore science experiences are logical areas in which to incorporate early writing opportunities.…

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

The Role of Motive Objects in Early Childhood Teacher Development Concerning Children's Digital Play and Play-Based Learning in Early Childhood Curricula

ERIC Educational Resources Information Center

Nuttall, Joce; Edwards, Susan; Mantilla, Ana; Grieshaber, Sue; Wood, Elizabeth

2015-01-01

Digital technologies are increasingly accepted as a viable aspect of early childhood curriculum. However, teacher uptake of digital technologies in early childhood education and their use with young children in play-based approaches to learning have not been strong. Traditional approaches to the problem of teacher uptake of digital technologies in…

The influence of trial order on learning from reward vs. punishment in a probabilistic categorization task: experimental and computational analyses.

PubMed

Moustafa, Ahmed A; Gluck, Mark A; Herzallah, Mohammad M; Myers, Catherine E

2015-01-01

Previous research has shown that trial ordering affects cognitive performance, but this has not been tested using category-learning tasks that differentiate learning from reward and punishment. Here, we tested two groups of healthy young adults using a probabilistic category learning task of reward and punishment in which there are two types of trials (reward, punishment) and three possible outcomes: (1) positive feedback for correct responses in reward trials; (2) negative feedback for incorrect responses in punishment trials; and (3) no feedback for incorrect answers in reward trials and correct answers in punishment trials. Hence, trials without feedback are ambiguous, and may represent either successful avoidance of punishment or failure to obtain reward. In Experiment 1, the first group of subjects received an intermixed task in which reward and punishment trials were presented in the same block, as a standard baseline task. In Experiment 2, a second group completed the separated task, in which reward and punishment trials were presented in separate blocks. Additionally, in order to understand the mechanisms underlying performance in the experimental conditions, we fit individual data using a Q-learning model. Results from Experiment 1 show that subjects who completed the intermixed task paradoxically valued the no-feedback outcome as a reinforcer when it occurred on reinforcement-based trials, and as a punisher when it occurred on punishment-based trials. This is supported by patterns of empirical responding, where subjects showed more win-stay behavior following an explicit reward than following an omission of punishment, and more lose-shift behavior following an explicit punisher than following an omission of reward. In Experiment 2, results showed similar performance whether subjects received reward-based or punishment-based trials first. However, when the Q-learning model was applied to these data, there were differences between subjects in the reward-first and punishment-first conditions on the relative weighting of neutral feedback. Specifically, early training on reward-based trials led to omission of reward being treated as similar to punishment, but prior training on punishment-based trials led to omission of reward being treated more neutrally. This suggests that early training on one type of trials, specifically reward-based trials, can create a bias in how neutral feedback is processed, relative to those receiving early punishment-based training or training that mixes positive and negative outcomes.

Development of Dual-Retrieval Processes in Recall: Learning, Forgetting, and Reminiscence

PubMed Central

Brainerd, C. J.; Aydin, C.; Reyna, V. F.

2012-01-01

We investigated the development of dual-retrieval processes with a low-burden paradigm that is suitable for research with children and neurocognitively impaired populations (e.g., older adults with mild cognitive impairment or dementia). Rich quantitative information can be obtained about recollection, reconstruction, and familiarity judgment by defining a Markov model over simple recall tasks like those that are used in clinical neuropsychology batteries. The model measures these processes separately for learning, forgetting, and reminiscence. We implemented this procedure in some developmental experiments, whose aims were (a) to measure age changes in recollective and nonrecollective retrieval during learning, forgetting, and reminiscence and (b) to measure age changes in content dimensions (e.g., taxonomic relatedness) that affect the two forms of retrieval. The model provided excellent fits in all three domains. Concerning (a), recollection, reconstruction, and familiarity judgment all improved during the child-to-adolescent age range in the learning domain, whereas only recollection improved in the forgetting domain, and the processes were age-invariant in the reminiscence domain. Concerning (b), although some elements of the adult pattern of taxonomic relatedness effects were detected by early adolescence, the adult pattern differs qualitatively from corresponding patterns in children and adolescents. PMID:22778491

Treatment of amblyopia in the adult: insights from a new rodent model of visual perceptual learning.

PubMed

Bonaccorsi, Joyce; Berardi, Nicoletta; Sale, Alessandro

2014-01-01

Amblyopia is the most common form of impairment of visual function affecting one eye, with a prevalence of about 1-5% of the total world population. Amblyopia usually derives from conditions of early functional imbalance between the two eyes, owing to anisometropia, strabismus, or congenital cataract, and results in a pronounced reduction of visual acuity and severe deficits in contrast sensitivity and stereopsis. It is widely accepted that, due to a lack of sufficient plasticity in the adult brain, amblyopia becomes untreatable after the closure of the critical period in the primary visual cortex. However, recent results obtained both in animal models and in clinical trials have challenged this view, unmasking a previously unsuspected potential for promoting recovery even in adulthood. In this context, non invasive procedures based on visual perceptual learning, i.e., the improvement in visual performance on a variety of simple visual tasks following practice, emerge as particularly promising to rescue discrimination abilities in adult amblyopic subjects. This review will survey recent work regarding the impact of visual perceptual learning on amblyopia, with a special focus on a new experimental model of perceptual learning in the amblyopic rat.

Treatment of amblyopia in the adult: insights from a new rodent model of visual perceptual learning

PubMed Central

Bonaccorsi, Joyce; Berardi, Nicoletta; Sale, Alessandro

2014-01-01

Amblyopia is the most common form of impairment of visual function affecting one eye, with a prevalence of about 1–5% of the total world population. Amblyopia usually derives from conditions of early functional imbalance between the two eyes, owing to anisometropia, strabismus, or congenital cataract, and results in a pronounced reduction of visual acuity and severe deficits in contrast sensitivity and stereopsis. It is widely accepted that, due to a lack of sufficient plasticity in the adult brain, amblyopia becomes untreatable after the closure of the critical period in the primary visual cortex. However, recent results obtained both in animal models and in clinical trials have challenged this view, unmasking a previously unsuspected potential for promoting recovery even in adulthood. In this context, non invasive procedures based on visual perceptual learning, i.e., the improvement in visual performance on a variety of simple visual tasks following practice, emerge as particularly promising to rescue discrimination abilities in adult amblyopic subjects. This review will survey recent work regarding the impact of visual perceptual learning on amblyopia, with a special focus on a new experimental model of perceptual learning in the amblyopic rat. PMID:25076874

Taking the brakes off the learning curve.

PubMed

Gheysen, Freja; Lasne, Gabriel; Pélégrini-Issac, Mélanie; Albouy, Genevieve; Meunier, Sabine; Benali, Habib; Doyon, Julien; Popa, Traian

2017-03-01

Motor learning is characterized by patterns of cerebello-striato-cortical activations shifting in time, yet the early dynamic and function of these activations remains unclear. Five groups of subjects underwent either continuous or intermittent theta-burst stimulation of one cerebellar hemisphere, or no stimulation just before learning a new motor sequence during fMRI scanning. We identified three phases during initial learning: one rapid, one slow, and one quasi-asymptotic performance phase. These phases were not changed by left cerebellar stimulation. Right cerebellar inhibition, however, accelerated learning and enhanced brain activation in critical motor learning-related areas during the first phase, continuing with reduced brain activation but high-performance in late phase. Right cerebellar excitation did not affect the early learning process, but slowed learning significantly in late phase, along with increased brain activation. We conclude that the right cerebellum is a key factor coordinating other neuronal loops in the early acquisition of an explicit motor sequential skill. Hum Brain Mapp 38:1676-1691, 2017. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Using variability to guide dimensional weighting: Associative mechanisms in early word learning

PubMed Central

Apfelbaum, Keith S.; McMurray, Bob

2013-01-01

At 14 months, children appear to struggle to apply their fairly well developed speech perception abilities to learning similar sounding words (e.g. bih/dih; Stager & Werker, 1997). However, variability in non-phonetic aspects of the training stimuli seems to aid word learning at this age. Extant theories of early word learning cannot account for this benefit of variability. We offer a simple explanation for this range of effects based on associative learning. Simulations suggest that if infants encode both non-contrastive information (e.g. cues to speaker voice) and meaningful linguistic cues (e.g. place of articulation or voicing), then associative learning mechanisms predict these variability effects in early word learning. Crucially, this means that despite the importance of task variables in predicting performance, this body of work shows that phonological categories are still developing in this age, and that the structure of non-informative cues has critical influences on word learning abilities. PMID:21609356

Age of acquisition and allophony in Spanish-English bilinguals.

PubMed

Barlow, Jessica A

2014-01-01

This study examines age of acquisition (AoA) in Spanish-English bilinguals' phonetic and phonological knowledge of /l/ in English and Spanish. In English, the lateral approximant /l/ varies in darkness by context [based on the second formant (F2) and the difference between F2 and the first formant (F1)], but the Spanish /l/ does not. Further, English /l/ is overall darker than Spanish /l/. Thirty-eight college-aged adults participated: 11 Early Spanish-English bilinguals who learned English before the age of 5 years, 14 Late Spanish-English bilinguals who learned English after the age of 6 years, and 13 English monolinguals. Participants' /l/ productions were acoustically analyzed by language and context. The results revealed a Spanish-to-English phonetic influence on /l/ productions for both Early and Late bilinguals, as well as an English-to-Spanish phonological influence on the patterning of /l/ for the Late Bilinguals. These findings are discussed in terms of the Speech Learning Model and the effect of AoA on the interaction between a bilingual speaker's two languages.

Age of acquisition and allophony in Spanish-English bilinguals

PubMed Central

Barlow, Jessica A.

2014-01-01

This study examines age of acquisition (AoA) in Spanish-English bilinguals’ phonetic and phonological knowledge of /l/ in English and Spanish. In English, the lateral approximant /l/ varies in darkness by context [based on the second formant (F2) and the difference between F2 and the first formant (F1)], but the Spanish /l/ does not. Further, English /l/ is overall darker than Spanish /l/. Thirty-eight college-aged adults participated: 11 Early Spanish-English bilinguals who learned English before the age of 5 years, 14 Late Spanish-English bilinguals who learned English after the age of 6 years, and 13 English monolinguals. Participants’ /l/ productions were acoustically analyzed by language and context. The results revealed a Spanish-to-English phonetic influence on /l/ productions for both Early and Late bilinguals, as well as an English-to-Spanish phonological influence on the patterning of /l/ for the Late Bilinguals. These findings are discussed in terms of the Speech Learning Model and the effect of AoA on the interaction between a bilingual speaker’s two languages. PMID:24795664

An integrated reweighting theory of perceptual learning

PubMed Central

Dosher, Barbara Anne; Jeter, Pamela; Liu, Jiajuan; Lu, Zhong-Lin

2013-01-01

Improvements in performance on visual tasks due to practice are often specific to a retinal position or stimulus feature. Many researchers suggest that specific perceptual learning alters selective retinotopic representations in early visual analysis. However, transfer is almost always practically advantageous, and it does occur. If perceptual learning alters location-specific representations, how does it transfer to new locations? An integrated reweighting theory explains transfer over retinal locations by incorporating higher level location-independent representations into a multilevel learning system. Location transfer is mediated through location-independent representations, whereas stimulus feature transfer is determined by stimulus similarity at both location-specific and location-independent levels. Transfer to new locations/positions differs fundamentally from transfer to new stimuli. After substantial initial training on an orientation discrimination task, switches to a new location or position are compared with switches to new orientations in the same position, or switches of both. Position switches led to the highest degree of transfer, whereas orientation switches led to the highest levels of specificity. A computational model of integrated reweighting is developed and tested that incorporates the details of the stimuli and the experiment. Transfer to an identical orientation task in a new position is mediated via more broadly tuned location-invariant representations, whereas changing orientation in the same position invokes interference or independent learning of the new orientations at both levels, reflecting stimulus dissimilarity. Consistent with single-cell recording studies, perceptual learning alters the weighting of both early and midlevel representations of the visual system. PMID:23898204

The Role of Corticostriatal Systems in Speech Category Learning

PubMed Central

Yi, Han-Gyol; Maddox, W. Todd; Mumford, Jeanette A.; Chandrasekaran, Bharath

2016-01-01

One of the most difficult category learning problems for humans is learning nonnative speech categories. While feedback-based category training can enhance speech learning, the mechanisms underlying these benefits are unclear. In this functional magnetic resonance imaging study, we investigated neural and computational mechanisms underlying feedback-dependent speech category learning in adults. Positive feedback activated a large corticostriatal network including the dorsolateral prefrontal cortex, inferior parietal lobule, middle temporal gyrus, caudate, putamen, and the ventral striatum. Successful learning was contingent upon the activity of domain-general category learning systems: the fast-learning reflective system, involving the dorsolateral prefrontal cortex that develops and tests explicit rules based on the feedback content, and the slow-learning reflexive system, involving the putamen in which the stimuli are implicitly associated with category responses based on the reward value in feedback. Computational modeling of response strategies revealed significant use of reflective strategies early in training and greater use of reflexive strategies later in training. Reflexive strategy use was associated with increased activation in the putamen. Our results demonstrate a critical role for the reflexive corticostriatal learning system as a function of response strategy and proficiency during speech category learning. Keywords: category learning, fMRI, corticostriatal systems, speech, putamen PMID:25331600

Automated Detection of Diabetic Retinopathy using Deep Learning.

PubMed

Lam, Carson; Yi, Darvin; Guo, Margaret; Lindsey, Tony

2018-01-01

Diabetic retinopathy is a leading cause of blindness among working-age adults. Early detection of this condition is critical for good prognosis. In this paper, we demonstrate the use of convolutional neural networks (CNNs) on color fundus images for the recognition task of diabetic retinopathy staging. Our network models achieved test metric performance comparable to baseline literature results, with validation sensitivity of 95%. We additionally explored multinomial classification models, and demonstrate that errors primarily occur in the misclassification of mild disease as normal due to the CNNs inability to detect subtle disease features. We discovered that preprocessing with contrast limited adaptive histogram equalization and ensuring dataset fidelity by expert verification of class labels improves recognition of subtle features. Transfer learning on pretrained GoogLeNet and AlexNet models from ImageNet improved peak test set accuracies to 74.5%, 68.8%, and 57.2% on 2-ary, 3-ary, and 4-ary classification models, respectively.

Early-Life Stress Triggers Juvenile Zebra Finches to Switch Social Learning Strategies.

PubMed

Farine, Damien R; Spencer, Karen A; Boogert, Neeltje J

2015-08-17

Stress during early life can cause disease and cognitive impairment in humans and non-humans alike. However, stress and other environmental factors can also program developmental pathways. We investigate whether differential exposure to developmental stress can drive divergent social learning strategies between siblings. In many species, juveniles acquire essential foraging skills by copying others: they can copy peers (horizontal social learning), learn from their parents (vertical social learning), or learn from other adults (oblique social learning). However, whether juveniles' learning strategies are condition dependent largely remains a mystery. We found that juvenile zebra finches living in flocks socially learned novel foraging skills exclusively from adults. By experimentally manipulating developmental stress, we further show that social learning targets are phenotypically plastic. While control juveniles learned foraging skills from their parents, their siblings, exposed as nestlings to experimentally elevated stress hormone levels, learned exclusively from unrelated adults. Thus, early-life conditions triggered individuals to switch strategies from vertical to oblique social learning. This switch could arise from stress-induced differences in developmental rate, cognitive and physical state, or the use of stress as an environmental cue. Acquisition of alternative social learning strategies may impact juveniles' fit to their environment and ultimately change their developmental trajectories. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Childhood chronic-kidney-disease: a longitudinal-qualitative study of families learning to share management early in the trajectory.

PubMed

Swallow, Veronica; Lambert, Heather; Clarke, Charlotte; Campbell, Steve; Jacoby, Ann

2008-11-01

To explore the ways families learn to share management during the early stages of childhood chronic-kidney-disease. This longitudinal, descriptive study based on the tenets of grounded theory, aimed to derive meaning about family-professional interactions during shared management. Data were obtained from six newly referred families, four renal nurses, four paediatric nephrologists and one dietician through: 36 semi-structured interviews, 21 case-note reviews and four child/parent learning diaries. Three learning stages were identified: dependent (families' understanding was superficial, they lacked underlying knowledge and were totally reliant on professional guidance); co-dependent (families engaged competently in management but still required extensive guidance); independent (families communicated effectively with staff and competently adjusted management within professionally defined parameters). Five families actively shared management from early in the trajectory and progressed to independent learning when, by mutual agreement, professional input to management gradually decreased. The remaining family adopted a passive approach to management, did not progress to independent learning and remained reliant on professional input. Families in this study demonstrated three learning stages in becoming competent at management. Future research is needed to investigate the ways professionals promote family competence early in the trajectory and the factors that can facilitate or hinder families' progression to independent learning.

Approaches to Learning: Supporting Brain Development for School Success

ERIC Educational Resources Information Center

Petersen, Sandra

2012-01-01

Prenatally and in infants and toddlers, the brain is being constructed as a foundation for all later learning. Positive early experiences contribute to the formation of a brain that is capable, early in infancy, of utilizing and strengthening the basic processes of learning. Throughout a lifetime, a person will repeatedly use these approaches to…

Formula for Success: Engaging Families in Early Math Learning

ERIC Educational Resources Information Center

Global Family Research Project, 2017

2017-01-01

Early math ability is one of the best predictors of children's later success in school. Because children's learning begins in the home, families are fundamental in shaping children's interest and skills in math. The experience of learning and doing math, however, looks different from the instruction that was offered when most adults were in…

The Design and Validation of an Early Childhood STEM Classroom Observational Protocol

ERIC Educational Resources Information Center

Milford, Todd; Tippett, Christine

2015-01-01

Across K-12 education, there has been recent attention to the learning opportunities available to students in science, technology, engineering, and mathematics (STEM) learning. Early childhood education (ECE) has been excluded from this process. The scholarly literature contains good evidence for including science teaching and learning at the ECE…

The Nature of Professional Learning Communities in New Zealand Early Childhood Education: An Exploratory Study

ERIC Educational Resources Information Center

Cherrington, Sue; Thornton, Kate

2015-01-01

Professional learning communities are receiving increasing attention within the schooling sector but empirical research into their development and use within early childhood education contexts is rare. This paper reports initial findings of an exploratory study into the development of professional learning communities in New Zealand's early…

Race to the Top - Early Learning Challenge: 2015 Annual Performance Report. New Jersey

ERIC Educational Resources Information Center

Race to the Top - Early Learning Challenge, 2016

2016-01-01

This Race to the Top - Early Learning Challenge (RTT-ELC) annual performance report for the year 2015 describes New Jersey's accomplishments, lessons learned, challenges, and strategies New Jersey will implement to address those challenges. New Jersey's remarkable progress in increasing participation in their tiered quality rating and improvement…

Predictable Locations Aid Early Object Name Learning

ERIC Educational Resources Information Center

Benitez, Viridiana L.; Smith, Linda B.

2012-01-01

Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18-month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The…

Inside the Content: The Breadth and Depth of Early Learning Standards. Executive Summary

ERIC Educational Resources Information Center

Scott-Little, Catherine; Kagan, Sharon Lynn; Frelow, Victoria Stebbins

2005-01-01

This executive summary describes a study that analyzes the content of early learning standards, operationally defined as documents that articulate expectations for children's development and learning during the preschool period (ages three to five years). Standards from 36 states were collected and analyzed to address the following research…

Children Learning to Use Technologies through Play: A Digital Play Framework

ERIC Educational Resources Information Center

Bird, Jo; Edwards, Susan

2015-01-01

Digital technologies are increasingly acknowledged as an important aspect of early childhood education. A significant problem for early childhood education has been how to understand the pedagogical use of technologies in a sector that values play-based learning. This paper presents a new framework to understand how children learn to use…

Connecting Brian Cambourne's Conditions of Learning Theory to Brain/Mind Principles: Implications for Early Childhood Educators.

ERIC Educational Resources Information Center

Rushton, Stephen P.; Eitelgeorge, Janice; Zickafoose, Ruby

2003-01-01

Relates each of the eight conditions of learning in Brian Cambourne's theory of literacy to findings in brain research within a constructivist approach to early childhood education. Cites sample classroom dialogues demonstrating classroom elements that foster a brain-based, developmentally appropriate learning environment supporting Cambourne's…

Assessment and Program Accountability in Early Childhood Education: Lessons Learned in Ohio

ERIC Educational Resources Information Center

Boat, Mary; Zorn, Debbie; Austin, James T.

2005-01-01

Ensuring that children, especially those from disadvantaged backgrounds, start school ready to learn is an important goal. This paper presents lessons learned from the state of Ohio's multi-year program to develop a standards-based assessment system for programs delivering state-funded early childhood education (ECE) through programs receiving…

Job-Embedded Professional Learning Essential to Improving Teaching and Learning in Early Education

ERIC Educational Resources Information Center

Pacchiano, Debra; Klein, Rebecca; Hawley, Marsha Shigeyo

2016-01-01

Improving classroom teaching improves children's learning outcomes. In pursuit of those goals, the early education field has made substantial investments aimed at increasing the quality of classroom environments and teacher-child interactions. Yet, in publicly funded programs across the country, the quality of instruction remains low and…

Supporting Creativity and Imagination in the Early Years. Supporting Early Learning

ERIC Educational Resources Information Center

Duffy, Bernadette

2006-01-01

Learning through the arts has the potential to stimulate open ended activity that encourages discovery, exploration, experimentation and invention, thus contributing to children's development in all areas of learning and helping to make the curriculum meaningful to them. In this book, the author draws on her extensive experience of promoting young…

Categorical Structure among Shared Features in Networks of Early-Learned Nouns

ERIC Educational Resources Information Center

Hills, Thomas T.; Maouene, Mounir; Maouene, Josita; Sheya, Adam; Smith, Linda

2009-01-01

The shared features that characterize the noun categories that young children learn first are a formative basis of the human category system. To investigate the potential categorical information contained in the features of early-learned nouns, we examine the graph-theoretic properties of noun-feature networks. The networks are built from the…

Effects of maternal separation on nicotine-induced conditioned place preference and subsequent learning and memory in adolescent female rats.

PubMed

Dalaveri, Fatemeh; Nakhaee, Nouzar; Esmaeilpour, Khadijeh; Mahani, Saeed Esmaeili; Sheibani, Vahid

2017-02-03

Adverse early life experiences can potentially increase risk for drug abuse later in life. However, little research has been conducted studying the effects of maternal separation (MS), an experimental model for early life stress, on the rewarding effects of nicotine. Cognitive function may be affected by MS. So, we also investigated whether nicotine administration affect spatial learning and memory in MS adolescent female rats. Rat pups were subjected to daily MS for 15min (MS15) or 180min (MS180) during the first 2 weeks of life or reared under normal animal facility rearing (AFR) conditions. The place preference test was performed with nicotine (0.6mg/kg,s.c.) or vehicle over a period of 6 conditioning trials during adolescence. Spatial learning and memory performance was evaluated by using Morris water maze (MWM). In our study, adolescent female rats exposed to MS180 shown a significantly greater preference for a nicotine-paired compartment during the testing phase than the MS15 group. Nicotine altered the MS-induced spatial learning defects in the MS180 group. These findings suggest that MS may increase sensitivity to the rewarding effects of nicotine and also it is possible to suggest that nicotine administration may influence learning dysfunction induced by MS in adolescent female rats. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Reinforcement Learning in a Nonstationary Environment: The El Farol Problem

NASA Technical Reports Server (NTRS)

Bell, Ann Maria

1999-01-01

This paper examines the performance of simple learning rules in a complex adaptive system based on a coordination problem modeled on the El Farol problem. The key features of the El Farol problem are that it typically involves a medium number of agents and that agents' pay-off functions have a discontinuous response to increased congestion. First we consider a single adaptive agent facing a stationary environment. We demonstrate that the simple learning rules proposed by Roth and Er'ev can be extremely sensitive to small changes in the initial conditions and that events early in a simulation can affect the performance of the rule over a relatively long time horizon. In contrast, a reinforcement learning rule based on standard practice in the computer science literature converges rapidly and robustly. The situation is reversed when multiple adaptive agents interact: the RE algorithms often converge rapidly to a stable average aggregate attendance despite the slow and erratic behavior of individual learners, while the CS based learners frequently over-attend in the early and intermediate terms. The symmetric mixed strategy equilibria is unstable: all three learning rules ultimately tend towards pure strategies or stabilize in the medium term at non-equilibrium probabilities of attendance. The brittleness of the algorithms in different contexts emphasize the importance of thorough and thoughtful examination of simulation-based results.

Developmental regulation of fear learning and anxiety behavior by endocannabinoids

PubMed Central

Lee, Tiffany T.-Y.; Hill, Matthew N.; Lee, Francis S.

2015-01-01

The developing brain undergoes substantial maturation into adulthood and the development of specific neural structures occurs on differing timelines. Transient imbalances between developmental trajectories of corticolimbic structures, which are known to contribute to regulation over fear learning and anxiety, can leave an individual susceptible to mental illness, particularly anxiety disorders. There is a substantial body of literature indicating that the endocannabinoid system critically regulates stress responsivity and emotional behavior throughout the life span, making this system a novel therapeutic target for stress- and anxiety-related disorders. During early life and adolescence, corticolimbic endocannabinoid signaling changes dynamically and coincides with different sensitive periods of fear learning, suggesting that endocannabinoid signaling underlies age-specific fear learning responses. Moreover, perturbations to these normative fluctuations in corticolimbic endocannabinoid signaling, such as stress or cannabinoid exposure, could serve as a neural substrate contributing to alterations to the normative developmental trajectory of neural structures governing emotional behavior and fear learning. In this review, we first introduce the components of the endocannabinoid system and discuss clinical and rodent models demonstrating endocannabinoid regulation of fear learning and anxiety in adulthood. Next, we highlight distinct fear learning and regulation profiles throughout development and discuss the ontogeny of the endocannabinoid system in the central nervous system, and models of pharmacological augmentation of endocannabinoid signaling during development in the context of fear learning and anxiety. PMID:26419643

The LINDSAY Virtual Human Project: an immersive approach to anatomy and physiology.

PubMed

Tworek, Janet K; Jamniczky, Heather A; Jacob, Christian; Hallgrímsson, Benedikt; Wright, Bruce

2013-01-01

The increasing number of digital anatomy teaching software packages challenges anatomy educators on how to best integrate these tools for teaching and learning. Realistically, there exists a complex interplay of design, implementation, politics, and learning needs in the development and integration of software for education, each of which may be further amplified by the somewhat siloed roles of programmers, faculty, and students. LINDSAY Presenter is newly designed software that permits faculty and students to model and manipulate three-dimensional anatomy presentations and images, while including embedded quizzes, links, and text-based content. A validated tool measuring impact across pedagogy, resources, interactivity, freedom, granularity, and factors outside the immediate learning event was used in conjunction with observation, field notes, and focus groups to critically examine the impact of attitudes and perceptions of all stakeholders in the early implementation of LINDSAY Presenter before and after a three-week trial period with the software. Results demonstrate that external, personal media usage, along with students' awareness of the need to apply anatomy to clinical professional situations drove expectations of LINDSAY Presenter. A focus on the software over learning, which can be expected during initial orientation, surprisingly remained after three weeks of use. The time-intensive investment required to create learning content is a detractor from user-generated content and may reflect the consumption nature of other forms of digital learning. Early excitement over new technologies needs to be tempered with clear understanding of what learning is afforded, and how these constructively support future application and integration into professional practice. Copyright © 2012 American Association of Anatomists.

Bumble-bee learning selects for both early and long flowering in food-deceptive plants

PubMed Central

Internicola, Antonina I.; Harder, Lawrence D.

2012-01-01

Most rewardless orchids engage in generalized food-deception, exhibiting floral traits typical of rewarding species and exploiting the instinctive foraging of pollinators. Generalized food-deceptive (GFD) orchids compete poorly with rewarding species for pollinator services, which may be overcome by flowering early in the growing season when relatively more pollinators are naive and fewer competing plant species are flowering, and/or flowering for extended periods to enhance the chance of pollinator visits. We tested these hypotheses by manipulating flowering time and duration in a natural population of Calypso bulbosa and quantifying pollinator visitation based on pollen removal. Both early and long flowering increased bumble-bee visitation compared with late and brief flowering, respectively. To identify the cause of reduced visitation during late flowering, we tested whether negative experience with C. bulbosa (avoidance learning) and positive experience with a rewarding species, Arctostaphylos uva-ursi, (associative learning) by captive bumble-bees could reduce C. bulbosa's competitiveness. Avoidance learning explained the higher visitation of early- compared with late-flowering C. bulbosa. The resulting pollinator-mediated selection for early flowering may commonly affect GFD orchids, explaining their tendency to flower earlier than rewarding orchids. For dissimilar deceptive and rewarding sympatric species, associative learning may additionally favour early flowering by GFD species. PMID:22090384

Bumble-bee learning selects for both early and long flowering in food-deceptive plants.

PubMed

Internicola, Antonina I; Harder, Lawrence D

2012-04-22

Most rewardless orchids engage in generalized food-deception, exhibiting floral traits typical of rewarding species and exploiting the instinctive foraging of pollinators. Generalized food-deceptive (GFD) orchids compete poorly with rewarding species for pollinator services, which may be overcome by flowering early in the growing season when relatively more pollinators are naive and fewer competing plant species are flowering, and/or flowering for extended periods to enhance the chance of pollinator visits. We tested these hypotheses by manipulating flowering time and duration in a natural population of Calypso bulbosa and quantifying pollinator visitation based on pollen removal. Both early and long flowering increased bumble-bee visitation compared with late and brief flowering, respectively. To identify the cause of reduced visitation during late flowering, we tested whether negative experience with C. bulbosa (avoidance learning) and positive experience with a rewarding species, Arctostaphylos uva-ursi, (associative learning) by captive bumble-bees could reduce C. bulbosa's competitiveness. Avoidance learning explained the higher visitation of early- compared with late-flowering C. bulbosa. The resulting pollinator-mediated selection for early flowering may commonly affect GFD orchids, explaining their tendency to flower earlier than rewarding orchids. For dissimilar deceptive and rewarding sympatric species, associative learning may additionally favour early flowering by GFD species.

Early Childhood Educators' Understanding of Early Communication: Application to Their Work with Young Children

ERIC Educational Resources Information Center

Brebner, Chris; Jovanovic, Jessie; Lawless, Angela; Young, Jessica

2016-01-01

Young children need rich learning experiences to maximize their potential. Early childhood educators (ECEs) working in childcare have knowledge of individual children as well as skills and professional knowledge that afford opportunities to provide language-rich environments for learning. To successfully work in partnership with ECEs,…

Interrogating "Belonging" in Belonging, Being and Becoming: The Early Years Learning Framework for Australia

ERIC Educational Resources Information Center

Sumsion, Jennifer; Wong, Sandie

2011-01-01

In this article, the authors interrogate the use of "belonging" in "Belonging, Being and Becoming: the Early Years Learning Framework for Australia" (EYLF), Australia's first national curriculum for early childhood education and care settings and, from the authors' interrogation, possibilities are offered for thinking about and…

Building Global Awareness in Early Childhood Teacher Preparation Programs

ERIC Educational Resources Information Center

Jean-Sigur, Raynice; Bell, Douglas; Kim, Yanghee

2016-01-01

Many early learning settings are more culturally diverse than ever before. Due to widespread migration, early learning classrooms now include students from a rich variety of racial, ethnic, and cultural groups. One classroom may contain students from a dozen countries and even more cultural experiences. To produce conscientious and creative global…

Overview: Measuring Early Learning Quality and Outcomes (MELQO)

ERIC Educational Resources Information Center

Brookings Institution, 2017

2017-01-01

The Measuring Early Learning Quality and Outcomes (MELQO) initiative began in 2014 in anticipation of a new global emphasis on early childhood development (ECD). Led by UNESCO, the World Bank, the Center for Universal Education at the Brookings Institution, and UNICEF, the initiative aims to promote feasible, accurate and useful measurement of…

Latino Immigrant Children and Inequality in Access to Early Schooling Programs

ERIC Educational Resources Information Center

Zambrana, Ruth Enid; Morant, Tamyka

2009-01-01

Latino children in immigrant families are less likely than their peers to participate in early schooling programs, which puts them at increased risk for learning problems and school failure. Factors such as family structure and size, parental education, and income are strongly associated with early learning experiences, participation in early…

Building a Community of Learning through Early Residential Fieldwork

ERIC Educational Resources Information Center

Walsh, Cathy; Larsen, Carl; Parry, Damian

2014-01-01

The positioning of residential fieldwork early in students' higher education is an established way of attempting to build and engage them in a community of learning. In the study reported here, the benefits of such early residential fieldwork were investigated using Krausse and Coates's seven scales of engagement. These scales consider a number of…

Science of Materials: A Case Study of Intentional Teaching in the Early Years

ERIC Educational Resources Information Center

Hackling, Mark; Barratt-Pugh, Caroline

2012-01-01

Australia's Early Years Learning Framework and leading international researchers argue for more intentional and purposeful teaching of science in the early years. This case study of exemplary practice illustrates intentional teaching of science materials which opened-up learning opportunities in literacy and number. Student-led hands-on…

Synchronising Pedagogy and Musical Experiences in Early Childhood: Addressing Challenges in Preschool Music Education in Kenya

ERIC Educational Resources Information Center

Andang'o, Elizabeth A.

2009-01-01

This paper examines pedagogy in early childhood music education and the resultant learning experiences in music for children in Kenyan preschools. Two important principles proposed for the synchronisation of teaching and learning in early childhood music education are cultural relevance and developmental appropriateness. These terms are…