Enhancing Learning Performance and Adaptability for Complex Tasks

DTIC Science & Technology

2005-03-30

development of active learning interventions and techniques that influence the focus and quality of learner regulatory activity (Kozlowski Toney et al...what are the effects of these goal representations on learning strategies, performance, and adaptability? Can active learning inductions, that influence...and mindful process - active learning - are generally associated with improved skill acquisition and adaptability for complex tasks (Smith et al

Successful Application of Active Learning Techniques to Introductory Microbiology.

ERIC Educational Resources Information Center

Hoffman, Elizabeth A.

2001-01-01

Points out the low student achievement in microbiology courses and presents an active learning method applied in an introductory microbiology course which features daily quizzes, cooperative learning activities, and group projects. (Contains 30 references.) (YDS)

The Effect of Higher Education Faculty Training in Improvisational Theatre Techniques on Student Learning and Perceptions of Engagement and Faculty Perceptions of Teaching and Learning

ERIC Educational Resources Information Center

Massie, DeAnna

2017-01-01

College instructors are content experts but ineffective at creating engaging and productive learning environments. This mixed methods study explored how improvisational theatre techniques affect college instructors' ability to increase student engagement and learning. Theoretical foundations included engagement, active learning, collaboration and…

Applying Student Team Achievement Divisions (STAD) Model on Material of Basic Programme Branch Control Structure to Increase Activity and Student Result

NASA Astrophysics Data System (ADS)

Akhrian Syahidi, Aulia; Asyikin, Arifin Noor; Asy’ari

2018-04-01

Based on my experience of teaching the material of branch control structure, it is found that the condition of the students is less active causing the low activity of the students on the attitude assessment during the learning process on the material of the branch control structure i.e. 2 students 6.45% percentage of good activity and 29 students percentage 93.55% enough and less activity. Then from the low activity resulted in low student learning outcomes based on a daily re-examination of branch control material, only 8 students 26% percentage reached KKM and 23 students 74% percent did not reach KKM. The purpose of this research is to increase the activity and learning outcomes of students of class X TKJ B SMK Muhammadiyah 1 Banjarmasin after applying STAD type cooperative learning model on the material of branch control structure. The research method used is Classroom Action Research. The study was conducted two cycles with six meetings. The subjects of this study were students of class X TKJ B with a total of 31 students consisting of 23 men and 8 women. The object of this study is the activity and student learning outcomes. Data collection techniques used are test and observation techniques. Data analysis technique used is a percentage and mean. The results of this study indicate that: an increase in activity and learning outcomes of students on the basic programming learning material branch control structure after applying STAD type cooperative learning model.

Alternative Assessment Techniques for Blended and Online Courses

ERIC Educational Resources Information Center

Litchfield, Brenda C.; Dempsey, John V.

2013-01-01

Alternative assessment techniques are essential for increasing student learning in blended and online courses. Rather than simply answer multiple-choice questions, students can choose activities in an academic contract. By using a contract, students will be active participants in their own learning. Contracts add a dimension of authenticity to…

Investigating the Relationship among Extracurricular Activities, Learning Approach and Academic Outcomes: A Case Study

ERIC Educational Resources Information Center

Chan, Yiu-Kong

2016-01-01

Learning effectiveness requires an understanding of the relationship among extracurricular activities, learning approach and academic performance and, it is argued, this helps educators develop techniques designed to enrich learning effectiveness. Biggs' Presage-Process-Product model on student learning has identified the relationship among…

Experiential Learning and Learning Environments: The Case of Active Listening Skills

ERIC Educational Resources Information Center

Huerta-Wong, Juan Enrique; Schoech, Richard

2010-01-01

Social work education research frequently has suggested an interaction between teaching techniques and learning environments. However, this interaction has never been tested. This study compared virtual and face-to-face learning environments and included active listening concepts to test whether the effectiveness of learning environments depends…

Figure analysis: A teaching technique to promote visual literacy and active Learning.

PubMed

Wiles, Amy M

2016-07-08

Learning often improves when active learning techniques are used in place of traditional lectures. For many of these techniques, however, students are expected to apply concepts that they have already grasped. A challenge, therefore, is how to incorporate active learning into the classroom of courses with heavy content, such as molecular-based biology courses. An additional challenge is that visual literacy is often overlooked in undergraduate science education. To address both of these challenges, a technique called figure analysis was developed and implemented in three different levels of undergraduate biology courses. Here, students learn content while gaining practice in interpreting visual information by discussing figures with their peers. Student groups also make connections between new and previously learned concepts on their own while in class. The instructor summarizes the material for the class only after students grapple with it in small groups. Students reported a preference for learning by figure analysis over traditional lecture, and female students in particular reported increased confidence in their analytical abilities. There is not a technology requirement for this technique; therefore, it may be utilized both in classrooms and in nontraditional spaces. Additionally, the amount of preparation required is comparable to that of a traditional lecture. © 2016 by The International Union of Biochemistry and Molecular Biology, 44(4):336-344, 2016. © 2016 The International Union of Biochemistry and Molecular Biology.

The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology.

PubMed

Hacisalihoglu, Gokhan; Stephens, Desmond; Johnson, Lewis; Edington, Maurice

2018-01-01

Active learning is a pedagogical approach that involves students engaging in collaborative learning, which enables them to take more responsibility for their learning and improve their critical thinking skills. While prior research examined student performance at majority universities, this study focuses on specifically Historically Black Colleges and Universities (HBCUs) for the first time. Here we present work that focuses on the impact of active learning interventions at Florida A&M University, where we measured the impact of active learning strategies coupled with a SCALE-UP (Student Centered Active Learning Environment with Upside-down Pedagogies) learning environment on student success in General Biology. In biology sections where active learning techniques were employed, students watched online videos and completed specific activities before class covering information previously presented in a traditional lecture format. In-class activities were then carefully planned to reinforce critical concepts and enhance critical thinking skills through active learning techniques such as the one-minute paper, think-pair-share, and the utilization of clickers. Students in the active learning and control groups covered the same topics, took the same summative examinations and completed identical homework sets. In addition, the same instructor taught all of the sections included in this study. Testing demonstrated that these interventions increased learning gains by as much as 16%, and students reported an increase in their positive perceptions of active learning and biology. Overall, our results suggest that active learning approaches coupled with the SCALE-UP environment may provide an added opportunity for student success when compared with the standard modes of instruction in General Biology.

Improving Student Engagement in a Lower-Division Botany Course

ERIC Educational Resources Information Center

Goldberg, Nisse A.; Ingram, Kathleen W.

2011-01-01

Active-learning techniques have been advocated as a means to promote student engagement in lower-division biology courses. In this case study, mini-lectures in combination with active-learning activities were evaluated as strategies to promote a culture of learning and participation in a required botany course. These activities were designed to…

Helping Librarians To Encourage Critical Thinking through Active Learning Techniques in Library Instruction.

ERIC Educational Resources Information Center

Swaine, Cynthia Wright

Encouraging librarians to incorporate critical thinking skills and active learning techniques in their course instruction requires more than talking about it in a department meeting or distributing articles on the topic. At Old Dominion University (Virginia), librarians have tried conducting workshops, had readily-accessible binders of articles…

Active Learning in a Finnish Engineering University Course

ERIC Educational Resources Information Center

Larson, Debra; Ahonen, Anna-Maija

2004-01-01

This paper is a case study on the use of active learning techniques in an upper-level engineering course at the Helsinki University of Technology. The paper describes how these techniques were introduced and successfully used within the Finnish university classroom. The cultural subtext is explored and attention is given to teaching techniques…

Acquisition of an instrumental activity of daily living in patients with Korsakoff's syndrome: a comparison of trial and error and errorless learning.

PubMed

Oudman, Erik; Nijboer, Tanja C W; Postma, Albert; Wijnia, Jan W; Kerklaan, Sandra; Lindsen, Karen; Van der Stigchel, Stefan

2013-01-01

Patients with Korsakoff's syndrome show devastating amnesia and executive deficits. Consequently, the ability to perform instrumental activities such as making coffee is frequently diminished. It is currently unknown whether patients with Korsakoff's syndrome are able to (re)learn instrumental activities. A good candidate for an effective teaching technique in Korsakoff's syndrome is errorless learning as it is based on intact implicit memory functioning. Therefore, the aim of the current study was two-fold: to investigate whether patients with Korsakoff's syndrome are able to (re)learn instrumental activities, and to compare the effectiveness of errorless learning with trial and error learning in the acquisition and maintenance of an instrumental activity, namely using a washing machine to do the laundry. Whereas initial learning performance in the errorless learning condition was superior, both intervention techniques resulted in similar improvement over eight learning sessions. Moreover, performance in a different spatial layout showed a comparable improvement. Notably, in follow-up sessions starting after four weeks without practice, performance was still elevated in the errorless learning condition, but not in the trial and error condition. The current study demonstrates that (re)learning and maintenance of an instrumental activity is possible in patients with Korsakoff's syndrome.

Active learning for semi-supervised clustering based on locally linear propagation reconstruction.

PubMed

Chang, Chin-Chun; Lin, Po-Yi

2015-03-01

The success of semi-supervised clustering relies on the effectiveness of side information. To get effective side information, a new active learner learning pairwise constraints known as must-link and cannot-link constraints is proposed in this paper. Three novel techniques are developed for learning effective pairwise constraints. The first technique is used to identify samples less important to cluster structures. This technique makes use of a kernel version of locally linear embedding for manifold learning. Samples neither important to locally linear propagation reconstructions of other samples nor on flat patches in the learned manifold are regarded as unimportant samples. The second is a novel criterion for query selection. This criterion considers not only the importance of a sample to expanding the space coverage of the learned samples but also the expected number of queries needed to learn the sample. To facilitate semi-supervised clustering, the third technique yields inferred must-links for passing information about flat patches in the learned manifold to semi-supervised clustering algorithms. Experimental results have shown that the learned pairwise constraints can capture the underlying cluster structures and proven the feasibility of the proposed approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

Academic Controversy in Macroeconomics: An Active and Collaborative Method to Increase Student Learning

ERIC Educational Resources Information Center

Santicola, Craig F.

2015-01-01

The literature indicates that there is a lack of learning outcomes in economics that can be attributed to the reliance on traditional lecture and the failure to adopt innovative instructional techniques. This study sought to investigate the student learning effects of academic controversy, a cooperative learning technique that shows promise in the…

Introduction of active learning method in learning physiology by MBBS students.

PubMed

Gilkar, Suhail Ahmad; Lone, Shabiruddin; Lone, Riyaz Ahmad

2016-01-01

Active learning has received considerable attention over the past several years, often presented or perceived as a radical change from traditional instruction methods. Current research on learning indicates that using a variety of teaching strategies in the classroom increases student participation and learning. To introduce active learning methodology, i.e., "jigsaw technique" in undergraduate medical education and assess the student and faculty response to it. This study was carried out in the Department of Physiology in a Medical College of North India. A topic was chosen and taught using one of the active learning methods (ALMs), i.e., jigsaw technique. An instrument (questionnaire) was developed in English through an extensive review of literature and was properly validated. The students were asked to give their response on a five-point Likert scale. The feedback was kept anonymous. Faculty also provided their feedback in a separately provided feedback proforma. The data were collected, compiled, and analyzed. Of 150 students of MBBS-first year batch 2014, 142 participated in this study along with 14 faculty members of the Physiology Department. The majority of the students (>90%) did welcome the introduction of ALM and strongly recommended the use of such methods in teaching many more topics in future. 100% faculty members were of the opinion that many more topics shall be taken up using ALMs. This study establishes the fact that both the medical students and faculty want a change from the traditional way of passive, teacher-centric learning, to the more active teaching-learning techniques.

Feasibility of Active Machine Learning for Multiclass Compound Classification.

PubMed

Lang, Tobias; Flachsenberg, Florian; von Luxburg, Ulrike; Rarey, Matthias

2016-01-25

A common task in the hit-to-lead process is classifying sets of compounds into multiple, usually structural classes, which build the groundwork for subsequent SAR studies. Machine learning techniques can be used to automate this process by learning classification models from training compounds of each class. Gathering class information for compounds can be cost-intensive as the required data needs to be provided by human experts or experiments. This paper studies whether active machine learning can be used to reduce the required number of training compounds. Active learning is a machine learning method which processes class label data in an iterative fashion. It has gained much attention in a broad range of application areas. In this paper, an active learning method for multiclass compound classification is proposed. This method selects informative training compounds so as to optimally support the learning progress. The combination with human feedback leads to a semiautomated interactive multiclass classification procedure. This method was investigated empirically on 15 compound classification tasks containing 86-2870 compounds in 3-38 classes. The empirical results show that active learning can solve these classification tasks using 10-80% of the data which would be necessary for standard learning techniques.

Focusing on Active, Meaningful Learning. IDEA Paper No. 34.

ERIC Educational Resources Information Center

Stalheim-Smith, Ann

This paper discusses active and meaningful learning and the application of this instructional approach to the college classroom, focusing on techniques used in the author's biology classes. Active and meaningful learning places emphasis on students actually doing things and thinking about what they are doing, relating new information to…

Is There a Relationship between the Usage of Active and Collaborative Learning Techniques and International Students' Study Anxiety?

ERIC Educational Resources Information Center

Khoshlessan, Rezvan

2013-01-01

This study was designed to explore the relationships between the international students' perception of professors' instructional practices (the usage of active and collaborative learning techniques in class) and the international students' study anxiety. The dominant goal of this research was to investigate whether the professors' usage of active…

Comparative evaluation of features and techniques for identifying activity type and estimating energy cost from accelerometer data

PubMed Central

Kate, Rohit J.; Swartz, Ann M.; Welch, Whitney A.; Strath, Scott J.

2016-01-01

Wearable accelerometers can be used to objectively assess physical activity. However, the accuracy of this assessment depends on the underlying method used to process the time series data obtained from accelerometers. Several methods have been proposed that use this data to identify the type of physical activity and estimate its energy cost. Most of the newer methods employ some machine learning technique along with suitable features to represent the time series data. This paper experimentally compares several of these techniques and features on a large dataset of 146 subjects doing eight different physical activities wearing an accelerometer on the hip. Besides features based on statistics, distance based features and simple discrete features straight from the time series were also evaluated. On the physical activity type identification task, the results show that using more features significantly improve results. Choice of machine learning technique was also found to be important. However, on the energy cost estimation task, choice of features and machine learning technique were found to be less influential. On that task, separate energy cost estimation models trained specifically for each type of physical activity were found to be more accurate than a single model trained for all types of physical activities. PMID:26862679

The Effect of Cooperative Learning Method and Systematic Teaching on Students' Achievement and Retention of Knowledge in Social Studies Lesson

ERIC Educational Resources Information Center

Korkmaz Toklucu, Selma; Tay, Bayram

2016-01-01

Problem Statement: Many effective instructional strategies, methods, and techniques, which were developed in accordance with constructivist approach, can be used together in social studies lessons. Constructivist education comprises active learning processes. Two active learning approaches are cooperative learning and systematic teaching. Purpose…

The Place of Game-Based Learning in an Age of Austerity

ERIC Educational Resources Information Center

Whitton, Nicola

2012-01-01

Digital games have the potential to create active and engaging environments for learning, supporting problem-solving, communication and group activities, as well as providing a forum for practice and learning through failure. The use of game techniques such as gradually increasing levels of difficulty and contextual feedback support learning, and…

Status of the Usage of Active Learning and Teaching Method and Techniques by Social Studies Teachers

ERIC Educational Resources Information Center

Akman, Özkan

2016-01-01

The purpose of this study was to determine the active learning and teaching methods and techniques which are employed by the social studies teachers working in state schools of Turkey. This usage status was assessed using different variables. This was a case study, wherein the research was limited to 241 social studies teachers. These teachers…

Classification of the Regional Ionospheric Disturbance Based on Machine Learning Techniques

NASA Astrophysics Data System (ADS)

Terzi, Merve Begum; Arikan, Orhan; Karatay, Secil; Arikan, Feza; Gulyaeva, Tamara

2016-08-01

In this study, Total Electron Content (TEC) estimated from GPS receivers is used to model the regional and local variability that differs from global activity along with solar and geomagnetic indices. For the automated classification of regional disturbances, a classification technique based on a robust machine learning technique that have found wide spread use, Support Vector Machine (SVM) is proposed. Performance of developed classification technique is demonstrated for midlatitude ionosphere over Anatolia using TEC estimates generated from GPS data provided by Turkish National Permanent GPS Network (TNPGN-Active) for solar maximum year of 2011. As a result of implementing developed classification technique to Global Ionospheric Map (GIM) TEC data, which is provided by the NASA Jet Propulsion Laboratory (JPL), it is shown that SVM can be a suitable learning method to detect anomalies in TEC variations.

A Comparison of Professional-Level Faculty and Student Perceptions of Active Learning: Its Current Use, Effectiveness, and Barriers

ERIC Educational Resources Information Center

Miller, Cynthia J.; Metz, Michael J.

2014-01-01

Active learning is an instructional method in which students become engaged participants in the classroom through the use of in-class written exercises, games, problem sets, audience-response systems, debates, class discussions, etc. Despite evidence supporting the effectiveness of active learning strategies, minimal adoption of the technique has…

Is Active Learning Like Broccoli? Student Perceptions of Active Learning in Large Lecture Classes

ERIC Educational Resources Information Center

Smith, C. Veronica; Cardaciotto, LeeAnn

2011-01-01

Although research suggests that active learning is associated with positive outcomes (e.g., memory, test performance), use of such techniques can be difficult to implement in large lecture-based classes. In the current study, 1,091 students completed out-of-class group exercises to complement course material in an Introductory Psychology class.…

Not another boring lecture: engaging learners with active learning techniques.

PubMed

Wolff, Margaret; Wagner, Mary Jo; Poznanski, Stacey; Schiller, Jocelyn; Santen, Sally

2015-01-01

Core content in Emergency Medicine Residency Programs is traditionally covered in didactic sessions, despite evidence suggesting that learners do not retain a significant portion of what is taught during lectures. We describe techniques that medical educators can use when leading teaching sessions to foster engagement and encourage self-directed learning, based on current literature and evidence about learning. When these techniques are incorporated, sessions can be effective in delivering core knowledge, contextualizing content, and explaining difficult concepts, leading to increased learning. Copyright © 2015 Elsevier Inc. All rights reserved.

A Comparative Study of Instructor and Student-Led Learning in a Large Nonmajors Biology Course: Student Performance and Perceptions

ERIC Educational Resources Information Center

Bernot, Melody J.; Metzler, Jennifer

2014-01-01

Traditional lectures have come under increasing criticism as research indicates lectures may be less effective in achieving learning outcomes than other teaching methods. Student engagement and success can potentially be improved by changing traditional lectures to instructional methods using active learning techniques. Active learning refers to…

Interactive Engagement in the Large Lecture Environment

NASA Astrophysics Data System (ADS)

Dubson, Michael

Watching a great physics lecture is like watching a great piano performance. It is can be inspiring, and it can give you insights, but it doesn't teach you to play piano. Students don't learn physics by watching expert professors perform at the board; they can only learn by practicing it themselves. Learning physics involves high-level thinking like formulating problem-solving strategies or explaining concepts to other humans. Learning is always messy, involving struggle, trial-and-error, and paradigm shifts. That learning struggle cannot be overcome with a more eloquent lecture; it can only be surmounted with prolonged, determined, active engagement by the student. I will demonstrate some techniques of active engagement, including clicker questions and in-class activities, which are designed to activate the student's higher-level thinking, get them actively involved in their learning, and start them on the path of productive struggle. These techniques are scalable; they work in classrooms with 30 or 300 students. This talk about audience participation will involve audience participation, so please put down your phone and be ready for a challenge.

The Ticket to Retention: A Classroom Assessment Technique Designed to Improve Student Learning

ERIC Educational Resources Information Center

Divoll, Kent A.; Browning, Sandra T.; Vesey, Winona M.

2012-01-01

Classroom assessment techniques (CATs) or other closure activities are widely promoted for use in college classrooms. However, research on whether CATs improve student learning are mixed. The authors posit that the results are mixed because CATs were designed to "help teachers find out what students are learning in the classroom and how well…

Just-in-Time Teaching in Statistics Classrooms

ERIC Educational Resources Information Center

McGee, Monnie; Stokes, Lynne; Nadolsky, Pavel

2016-01-01

Much has been made of the flipped classroom as an approach to teaching, and its effect on student learning. The volume of material showing that the flipped classroom technique helps students better learn and better retain material is increasing at a rapid pace. Coupled with this technique is active learning in the classroom. There are many ways of…

One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes.

PubMed

Das, Barnan; Cook, Diane J; Krishnan, Narayanan C; Schmitter-Edgecombe, Maureen

2016-08-01

Caring for individuals with dementia is frequently associated with extreme physical and emotional stress, which often leads to depression. Smart home technology and advances in machine learning techniques can provide innovative solutions to reduce caregiver burden. One key service that caregivers provide is prompting individuals with memory limitations to initiate and complete daily activities. We hypothesize that sensor technologies combined with machine learning techniques can automate the process of providing reminder-based interventions. The first step towards automated interventions is to detect when an individual faces difficulty with activities. We propose machine learning approaches based on one-class classification that learn normal activity patterns. When we apply these classifiers to activity patterns that were not seen before, the classifiers are able to detect activity errors, which represent potential prompt situations. We validate our approaches on smart home sensor data obtained from older adult participants, some of whom faced difficulties performing routine activities and thus committed errors.

Analyzing Student Inquiry Data Using Process Discovery and Sequence Classification

ERIC Educational Resources Information Center

Emond, Bruno; Buffett, Scott

2015-01-01

This paper reports on results of applying process discovery mining and sequence classification mining techniques to a data set of semi-structured learning activities. The main research objective is to advance educational data mining to model and support self-regulated learning in heterogeneous environments of learning content, activities, and…

Activity Summaries as a Classroom Assessment Tool.

ERIC Educational Resources Information Center

McGee, Steven; Kirby, Jennifer; Croft, Steven K.

This study explored the usefulness of a classroom assessment technique called the activity summary template. It is proposed that the activity summary template enables students to process and organize information learning during an investigation. This process will in turn help students to achieve greater learning outcomes. The activity summary…

Active Learning through Online Instruction

ERIC Educational Resources Information Center

Gulbahar, Yasemin; Kalelioglu, Filiz

2010-01-01

This article explores the use of proper instructional techniques in online discussions that lead to meaningful learning. The research study looks at the effective use of two instructional techniques within online environments, based on qualitative measures. "Brainstorming" and "Six Thinking Hats" were selected and implemented…

A Large-scale Distributed Indexed Learning Framework for Data that Cannot Fit into Memory

DTIC Science & Technology

2015-03-27

learn a classifier. Integrating three learning techniques (online, semi-supervised and active learning ) together with a selective sampling with minimum communication between the server and the clients solved this problem.

Publishing activities improves undergraduate biology education

PubMed Central

Smith, Michelle K

2018-01-01

Abstract To improve undergraduate biology education, there is an urgent need for biology instructors to publish their innovative active-learning instructional materials in peer-reviewed journals. To do this, instructors can measure student knowledge about a variety of biology concepts, iteratively design activities, explore student learning outcomes and publish the results. Creating a set of well-vetted activities, searchable through a journal interface, saves other instructors time and encourages the use of active-learning instructional practices. For authors, these publications offer new opportunities to collaborate and can provide evidence of a commitment to using active-learning instructional techniques in the classroom. PMID:29672697

Publishing activities improves undergraduate biology education.

PubMed

Smith, Michelle K

2018-06-01

To improve undergraduate biology education, there is an urgent need for biology instructors to publish their innovative active-learning instructional materials in peer-reviewed journals. To do this, instructors can measure student knowledge about a variety of biology concepts, iteratively design activities, explore student learning outcomes and publish the results. Creating a set of well-vetted activities, searchable through a journal interface, saves other instructors time and encourages the use of active-learning instructional practices. For authors, these publications offer new opportunities to collaborate and can provide evidence of a commitment to using active-learning instructional techniques in the classroom.

Accelerated Learning: Madness with a Method.

ERIC Educational Resources Information Center

Zemke, Ron

1995-01-01

Accelerated learning methods have evolved into a variety of holistic techniques that involve participants in the learning process and overcome negative attitudes about learning. These components are part of the mix: the brain, learning environment, music, imaginative activities, suggestion, positive mental state, the arts, multiple intelligences,…

Process Mining Techniques for Analysing Patterns and Strategies in Students' Self-Regulated Learning

ERIC Educational Resources Information Center

Bannert, Maria; Reimann, Peter; Sonnenberg, Christoph

2014-01-01

Referring to current research on self-regulated learning, we analyse individual regulation in terms of a set of specific sequences of regulatory activities. Successful students perform regulatory activities such as analysing, planning, monitoring and evaluating cognitive and motivational aspects during learning not only with a higher frequency…

Discovering the Effects of Metacognitive Prompts on the Sequential Structure of SRL-Processes Using Process Mining Techniques

ERIC Educational Resources Information Center

Sonnenberg, Christoph; Bannert, Maria

2015-01-01

According to research examining self-regulated learning (SRL), we regard individual regulation as a specific sequence of regulatory activities. Ideally, students perform various learning activities, such as analyzing, monitoring, and evaluating cognitive and motivational aspects during learning. Metacognitive prompts can foster SRL by inducing…

Learning the ShamWow: Creating Infomercials to Teach the AIDA Model

ERIC Educational Resources Information Center

Lee, Seung Hwan; Hoffman, K. Douglas

2015-01-01

The AIDA Model (Attention-Interest-Desire-Action) is one of the classical promotional theories in marketing. Through active-learning techniques and peer critiques, we use infomercials as an innovative educational tool to instruct the four components of the AIDA model. Student evaluations regarding this active-learning assignment reveal that the…

Natural Resource Service Learning to Link Students, Communities, and the Land

ERIC Educational Resources Information Center

Barlow, Rebecca J.

2013-01-01

University-based Extension specialists often face the dilemma of scheduling time for both teaching and outreach activities. Service learning projects that give hands-on experience in the application of classroom activities while giving back to the community can bridge this gap. A demonstration forest and service learning techniques were used to…

Learning in a u-Museum: Developing a Context-Aware Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Chen, Chia-Chen; Huang, Tien-Chi

2012-01-01

Context-awareness techniques can support learners in learning without time or location constraints by using mobile devices and associated learning activities in a real learning environment. Enrichment of context-aware technologies has enabled students to learn in an environment that integrates learning resources from both the real world and the…

Student Perceptions of Value Added in an Active Learning Experience: Producing, Reviewing and Evaluating a Sales Team Video Presentation

ERIC Educational Resources Information Center

Corbett, James J.; Kezim, Boualem; Stewart, James

2010-01-01

This study investigates the effectiveness of a video team-based activity as a learning experience in a sales management course. Students perceived this learning activity approach as a beneficial and effective instructional technique. The benefits of making a video in a marketing course reinforce the understanding and the use of the sales process…

B-tree search reinforcement learning for model based intelligent agent

NASA Astrophysics Data System (ADS)

Bhuvaneswari, S.; Vignashwaran, R.

2013-03-01

Agents trained by learning techniques provide a powerful approximation of active solutions for naive approaches. In this study using B - Trees implying reinforced learning the data search for information retrieval is moderated to achieve accuracy with minimum search time. The impact of variables and tactics applied in training are determined using reinforcement learning. Agents based on these techniques perform satisfactory baseline and act as finite agents based on the predetermined model against competitors from the course.

Characterizing Student Perceptions of and Buy-In toward Common Formative Assessment Techniques

PubMed Central

Brazeal, Kathleen R.; Brown, Tanya L.; Couch, Brian A.

2016-01-01

Formative assessments (FAs) can occur as preclass assignments, in-class activities, or postclass homework. FAs aim to promote student learning by accomplishing key objectives, including clarifying learning expectations, revealing student thinking to the instructor, providing feedback to the student that promotes learning, facilitating peer interactions, and activating student ownership of learning. While FAs have gained prominence within the education community, we have limited knowledge regarding student perceptions of these activities. We used a mixed-methods approach to determine whether students recognize and value the role of FAs in their learning and how students perceive course activities to align with five key FA objectives. To address these questions, we administered a midsemester survey in seven introductory biology course sections that were using multiple FA techniques. Overall, responses to both open-ended and closed-ended questions revealed that the majority of students held positive perceptions of FAs and perceived FAs to facilitate their learning in a variety of ways. Students consistently considered FA activities to have accomplished particular objectives, but there was greater variation among FAs in how students perceived the achievement of other objectives. We further discuss potential sources of student resistance and implications of these results for instructor practice. PMID:27909023

Prediction of activity type in preschool children using machine learning techniques.

PubMed

Hagenbuchner, Markus; Cliff, Dylan P; Trost, Stewart G; Van Tuc, Nguyen; Peoples, Gregory E

2015-07-01

Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting activity type in preschool-aged children. Participants completed 12 standardised activity trials (TV, reading, tablet game, quiet play, art, treasure hunt, cleaning up, active game, obstacle course, bicycle riding) over two laboratory visits. Eleven children aged 3-6 years (mean age=4.8±0.87; 55% girls) completed the activity trials while wearing an ActiGraph GT3X+ accelerometer on the right hip. Activities were categorised into five activity classes: sedentary activities, light activities, moderate to vigorous activities, walking, and running. A standard feed-forward Artificial Neural Network and a Deep Learning Ensemble Network were trained on features in the accelerometer data used in previous investigations (10th, 25th, 50th, 75th and 90th percentiles and the lag-one autocorrelation). Overall recognition accuracy for the standard feed forward Artificial Neural Network was 69.7%. Recognition accuracy for sedentary activities, light activities and games, moderate-to-vigorous activities, walking, and running was 82%, 79%, 64%, 36% and 46%, respectively. In comparison, overall recognition accuracy for the Deep Learning Ensemble Network was 82.6%. For sedentary activities, light activities and games, moderate-to-vigorous activities, walking, and running recognition accuracy was 84%, 91%, 79%, 73% and 73%, respectively. Ensemble machine learning approaches such as Deep Learning Ensemble Network can accurately predict activity type from accelerometer data in preschool children. Copyright © 2014 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Problem based learning with scaffolding technique on geometry

NASA Astrophysics Data System (ADS)

Bayuningsih, A. S.; Usodo, B.; Subanti, S.

2018-05-01

Geometry as one of the branches of mathematics has an important role in the study of mathematics. This research aims to explore the effectiveness of Problem Based Learning (PBL) with scaffolding technique viewed from self-regulation learning toward students’ achievement learning in mathematics. The research data obtained through mathematics learning achievement test and self-regulated learning (SRL) questionnaire. This research employed quasi-experimental research. The subjects of this research are students of the junior high school in Banyumas Central Java. The result of the research showed that problem-based learning model with scaffolding technique is more effective to generate students’ mathematics learning achievement than direct learning (DL). This is because in PBL model students are more able to think actively and creatively. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.

The Effect of Listening Education Practices Organized by Active Learning Techniques on the Attitudes of 6th Grade Students towards Turkish Course

ERIC Educational Resources Information Center

Aytan, Talat

2017-01-01

In this study, it was aimed to determine the effect of listening education practices that organized by active learning techniques on the attitudes of 6th grade students towards Turkish course. The sample of the study conducted at a secondary school in the Black Sea region of Turkey consisted of twenty students--ten girls and ten boys. During…

The Effect of Active Learning Techniques on Class Teacher Candidates' Success Rates and Attitudes toward Their Museum Theory and Application Unit in Their Visual Arts Course

ERIC Educational Resources Information Center

Dilmac, Oguz

2016-01-01

The purpose of this study is to examine the effect that using active learning techniques during museum and gallery visits has on teacher candidates' academic success rates in and attitudes toward their Visual Arts Course. In this study, the importance and requirement of education to take place in museums and art galleries is emphasized. The…

How Small Is a Cell?

ERIC Educational Resources Information Center

Rau, Gerald

2004-01-01

In this article, the author talks about an inquiry-based activity involving yeast, wherein students learned about cell size. The activity allows students to employ math connections and to learn experimental techniques while practicing microscope skills. The activity can be adapted for students at all levels of biology. The author presents details…

Combining active learning and semi-supervised learning techniques to extract protein interaction sentences.

PubMed

Song, Min; Yu, Hwanjo; Han, Wook-Shin

2011-11-24

Protein-protein interaction (PPI) extraction has been a focal point of many biomedical research and database curation tools. Both Active Learning and Semi-supervised SVMs have recently been applied to extract PPI automatically. In this paper, we explore combining the AL with the SSL to improve the performance of the PPI task. We propose a novel PPI extraction technique called PPISpotter by combining Deterministic Annealing-based SSL and an AL technique to extract protein-protein interaction. In addition, we extract a comprehensive set of features from MEDLINE records by Natural Language Processing (NLP) techniques, which further improve the SVM classifiers. In our feature selection technique, syntactic, semantic, and lexical properties of text are incorporated into feature selection that boosts the system performance significantly. By conducting experiments with three different PPI corpuses, we show that PPISpotter is superior to the other techniques incorporated into semi-supervised SVMs such as Random Sampling, Clustering, and Transductive SVMs by precision, recall, and F-measure. Our system is a novel, state-of-the-art technique for efficiently extracting protein-protein interaction pairs.

Applying Organ Clearance Concepts in a Clinical Setting

PubMed Central

2008-01-01

Objective To teach doctor of pharmacy (PharmD) students how to apply organ clearance concepts in a clinical setting in order to optimize dose management, select the right drug product, and promote better patient-centered care practices. Design A student-focused 5-hour topic entitled "Organ Clearance Concepts: Modeling and Clinical Applications" was developed and delivered to second-year PharmD students. Active-learning techniques, such as reading assignments and thought-provoking questions, and collaborative learning techniques, such as small groups, were used. Student learning was assessed using application cards and a minute paper. Assessment Overall student responses to topic presentation were overwhelmingly positive. The teaching strategies here discussed allowed students to play an active role in their own learning process and provided the necessary connection to keep them motivated, as mentioned in the application cards and minute paper assessments. Students scored an average of 88% on the examination given at the end of the course. Conclusion By incorporating active-learning and collaborative-learning techniques in presenting material on organ clearance concept, students gained a more thorough knowledge of dose management and drug-drug interactions than if the concepts had been presented using a traditional lecture format. This knowledge will help students in solving critical patient situations in a real-world context. PMID:19214275

Training hydrologists to be ecohydrologists: A ';how-you-can-do-it' example leveraging an active learning environment

NASA Astrophysics Data System (ADS)

Lyon, S. W.; Walter, M. T.; Jantze, E. J.; Archibald, J. A.

2013-12-01

Structuring an education strategy capable of addressing the various spheres of ecohydrology is difficult due to the inter-disciplinary and cross-disciplinary nature of this emergent field. Clearly, there is a need for such strategies to accommodate more progressive educational concepts while highlighting a skills-based education. To demonstrate a possible way to develop courses that include such concepts, we offer a case-study or a ';how-you-can-do-it' example from an ecohydrology course recently co-taught by teachers from Stockholm University and Cornell University at Stockholm University's Navarino Environmental Observatory (NEO) in Costa Navarino, Greece. This course focused on introducing hydrology Master's students to some of the central concepts of ecohydrology while at the same time supplying process-based understanding relevant for characterizing evapotranspiration. As such, the main goal of the course was to explore central theories in ecohydrology and their connection to plant-water interactions and the water cycle in a semiarid environment. In addition to presenting this roadmap for ecohydrology course development, we explore the utility and effectiveness of adopting active teaching and learning strategies drawing from the suite of learn-by-doing, hands-on, and inquiry-based techniques in such a course. We test a gradient of ';activeness' across a sequence of three teaching and learning activities. Our results indicate that there was a clear advantage for utilizing active learning techniques in place of traditional lecture-based styles. In addition, there was a preference among the student towards the more ';active' techniques. This demonstrates the added value of incorporating even the simplest active learning approaches in our ecohydrology (or general) teaching.

Training hydrologists to be ecohydrologists: A 'how-you-can-do-it' example leveraging an active learning environment

NASA Astrophysics Data System (ADS)

Lyon, Steve W.; Walter, M. Todd; Jantze, Elin J.; Archibald, Josephine A.

2015-04-01

Structuring an education strategy capable of addressing the various spheres of ecohydrology is difficult due to the inter-disciplinary and cross-disciplinary nature of this emergent field. Clearly, there is a need for such strategies to accommodate more progressive educational concepts while highlighting a skills-based education. To demonstrate a possible way to develop courses that include such concepts, we offer a case-study or a 'how-you-can-do-it' example from an ecohydrology course recently co-taught by teachers from Stockholm University and Cornell University at Stockholm University's Navarino Environmental Observatory (NEO) in Costa Navarino, Greece. This course focused on introducing hydrology Master's students to some of the central concepts of ecohydrology while at the same time supplying process-based understanding relevant for characterizing evapotranspiration. As such, the main goal of the course was to explore central theories in ecohydrology and their connection to plant-water interactions and the water cycle in a semiarid environment. In addition to presenting this roadmap for ecohydrology course development, we explore the utility and effectiveness of adopting active teaching and learning strategies drawing from the suite of learn-by-doing, hands-on, and inquiry-based techniques in such a course. We test a gradient of 'activeness' across a sequence of three teaching and learning activities. Our results indicate that there was a clear advantage for utilizing active learning techniques in place of traditional lecture-based styles. In addition, there was a preference among the student towards the more 'active' techniques. This demonstrates the added value of incorporating even the simplest active learning approaches in our ecohydrology (or general) teaching.

Training hydrologists to be ecohydrologists: a "how-you-can-do-it" example leveraging an active learning environment for studying plant-water interaction

NASA Astrophysics Data System (ADS)

Lyon, S. W.; Walter, M. T.; Jantze, E. J.; Archibald, J. A.

2012-08-01

Structuring an education strategy capable of addressing the various spheres of ecohydrology is difficult due to the inter-disciplinary and cross-disciplinary nature of this emergent field. Clearly, there is a need for such strategies to accommodate more progressive educational concepts while highlighting a skills-based education. To demonstrate a possible way to develop courses that include such concepts, we offer a case-study or a "how-you-can-do-it" example from an ecohydrology course recently co-taught by teachers from Stockholm University and Cornell University at the Navarino Environmental Observatory (NEO) in Costa Navarino, Greece. This course focused on introducing hydrology Master's students to some of the central concepts of ecohydrology while at the same time supplying process-based understanding relevant for characterizing evapotranspiration. As such, the main goal of the course was to explore central theories in ecohydrology and their connection to plant-water interactions and the water cycle in a semiarid environment. In addition to presenting this roadmap for ecohydrology course development, we explore the utility and effectiveness of adopting active teaching and learning strategies drawing from the suite of learn-by-doing, hands-on, and inquiry-based techniques in such a course. We test a gradient of "activeness" across a sequence of three teaching and learning activities. Our results indicate that there was a clear advantage for utilizing active learning techniques in place of traditional lecture-based styles. In addition, there was a preference among the student towards the more "active" techniques. This demonstrates the added value of incorporating even the simplest active learning approaches in our ecohydrology (or general) teaching.

Students as Technicians: Screening Newborns for Cystic Fibrosis

ERIC Educational Resources Information Center

Gusky, Sharon

2014-01-01

In this activity, freshman college students learn biotechnology techniques while playing the role of a laboratory technician. They perform simulations of three diagnostic tests used to screen newborns for cystic fibrosis. By performing an ELISA, a PCR analysis, and a conductivity test, students learn how biotechnology techniques can be used to…

Hypermedia in Vocational Learning: A Hypermedia Learning Environment for Training Management Skills

ERIC Educational Resources Information Center

Konradt, Udo

2004-01-01

A learning environment is defined as an arrangement of issues, methods, techniques, and media in a given domain. Besides temporal and spatial features a learning environment considers the social situation in which learning takes place. In (hypermedia) learning environments the concept of exploration and the active role of the learner is…

Challenges of Using Learning Analytics Techniques to Support Mobile Learning

ERIC Educational Resources Information Center

Arrigo, Marco; Fulantelli, Giovanni; Taibi, Davide

2015-01-01

Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics…

Assessing and Improving Learning in Business Schools: Direct and Indirect Measures of Learning

ERIC Educational Resources Information Center

Weldy, Teresa G.; Turnipseed, David L.

2010-01-01

Institutions of higher education are scrambling to make program changes to improve the quality of learning and assessment of learning in the face of pressure from multiple constituencies. Business educators are incorporating various active learning techniques to enhance learning and application of skills and knowledge to real-world situations.…

Summary of Progress on SIG Ft. Ord ESTCP DemVal

DTIC Science & Technology

2007-04-01

We report on progress under an ESTCP demonstration plan dedicated to demonstrating active learning - based UXO detection on an actual former UXO site...Ft. Ord), using EMI data. In addition to describing the details of the active - learning algorithm, we discuss techniques that were required when...terms of two dipole-moment magnitudes and two resonant frequencies. Information-theoretic active learning is then conducted on all anomalies to

Active Learning of Biochemistry Made Easy (for the Teacher)

ERIC Educational Resources Information Center

Bobich, Joseph A.

2008-01-01

This active learning pedagogical technique aims to improve students' learning in a two-semester, upper-division biochemistry course sequence in which the vast majority of students enrolled will continue on to medical or graduate schools. Instead of lecturing, the Instructor moves to the side of the room, thereby becoming "the guide on the side".…

Hands-On English: A Periodical for Teachers and Tutors of Adult English as a Second Language, 2003.

ERIC Educational Resources Information Center

Silliman, Anna, Ed.

2003-01-01

These three issues contain educational activities and articles on the following topics: education for the future; learning about learning; readers' responses to requests for suggested article and activity topics; tools and techniques (revisiting the one-question interview, learning students' names, and getting to know one another); multi-level…

Stimulating Deep Learning Using Active Learning Techniques

ERIC Educational Resources Information Center

Yew, Tee Meng; Dawood, Fauziah K. P.; a/p S. Narayansany, Kannaki; a/p Palaniappa Manickam, M. Kamala; Jen, Leong Siok; Hoay, Kuan Chin

2016-01-01

When students and teachers behave in ways that reinforce learning as a spectator sport, the result can often be a classroom and overall learning environment that is mostly limited to transmission of information and rote learning rather than deep approaches towards meaningful construction and application of knowledge. A group of college instructors…

Celebrating Service and Learning

ERIC Educational Resources Information Center

Emeagwali, Susan; Berkey, Lisa; Guempel, Martha

2010-01-01

This month's "Techniques" magazine celebrates service-learning and the contributions that it makes to students' learning by fostering civic engagement while students learn in hands-on, real-world contexts. For close to half a century, service-learning has spread throughout schools in the United States as students engage in activities as diverse as…

Assessing the Effectiveness of a Hybrid-Flipped Model of Learning on Fluid Mechanics Instruction: Overall Course Performance, Homework, and Far- and Near-Transfer of Learning

ERIC Educational Resources Information Center

Harrison, David J.; Saito, Laurel; Markee, Nancy; Herzog, Serge

2017-01-01

To examine the impact of a hybrid-flipped model utilising active learning techniques, the researchers inverted one section of an undergraduate fluid mechanics course, reduced seat time, and engaged in active learning sessions in the classroom. We compared this model to the traditional section on four performance measures. We employed a propensity…

Using Attendance Worksheets to Improve Student Attendance, Participation, and Learning

NASA Astrophysics Data System (ADS)

Rhoads, Edward

2013-06-01

As science instructors we are faced with two main barriers with respect to student learning. The first is motivating our students to attend class and the second is to make them active participants in the learning process once we have gotten them to class. As we head further into the internet age this problem only gets exacerbated as students have replaced newspapers with cell phones which can surf the web, check their emails, and play games. Quizzes can motivated the students to attend class but do not necessarily motivate them to pay attention. Active learning techniques work but we as instructors have been bombarded by the active learning message to the point that we either do it already or refuse to. I present another option which in my classroom has doubled the rate at which students learn my material. By using attendance worksheets instead of end of class quizzes I hold students accountable for not just their attendance but for when they show up and when they leave the class. In addition it makes the students an active participant in the class even without using active learning techniques as they are writing notes and answering the questions you have posed while the class is in progress. Therefore using attendance worksheets is an effective tool to use in order to guide student learning.

Preceptor use of classroom assessment techniques to stimulate higher-order thinking in the clinical setting.

PubMed

Davidson, Judy E

2009-03-01

The purpose of this article is to provide examples of learning activities to be used as formative (interim) evaluation of an in-hospital orientation or cross-training program. Examples are provided in the form of vignettes that have been derived from strategies described in the literature as classroom assessment techniques. Although these classroom assessment techniques were originally designed for classroom experiences, they are proposed as methods for preceptors to stimulate the development of higher-order thinking such as synthesizing information, solving problems, and learning how to learn.

Errorless-based techniques can improve route finding in early Alzheimer's disease: a case study.

PubMed

Provencher, Véronique; Bier, Nathalie; Audet, Thérèse; Gagnon, Lise

2008-01-01

Topographical disorientation is a common and early manifestation of dementia of Alzheimer type, which threatens independence in activities of daily living. Errorless-based techniques appear to be effective in helping patients with amnesia to learn routes, but little is known about their effectiveness in early dementia of Alzheimer type. A 77-year-old woman with dementia of Alzheimer type had difficulty in finding her way around her seniors residence, which reduced her social activities. This study used an ABA design (A is the baseline and B is the intervention) with multiple baselines across routes for going to the rosary (target), laundry, and game rooms (controls). The errorless-based technique intervention was applied to 2 of the 3 routes. Analyses showed significant improvement only for the routes learned with errorless-based techniques. Following the study, the participant increased her topographical knowledge of her surroundings. Route learning interventions based on errorless-based techniques appear to be a promising approach for improving the independence in early dementia of Alzheimer type.

Learning a Taxonomy of Predefined and Discovered Activity Patterns

PubMed Central

Krishnan, Narayanan; Cook, Diane J.; Wemlinger, Zachary

2013-01-01

Many intelligent systems that focus on the needs of a human require information about the activities that are being performed by the human. At the core of this capability is activity recognition. Activity recognition techniques have become robust but rarely scale to handle more than a few activities. They also rarely learn from more than one smart home data set because of inherent differences between labeling techniques. In this paper we investigate a data-driven approach to creating an activity taxonomy from sensor data found in disparate smart home datasets. We investigate how the resulting taxonomy can help analyze the relationship between classes of activities. We also analyze how the taxonomy can be used to scale activity recognition to a large number of activity classes and training datasets. We describe our approach and evaluate it on 34 smart home datasets. The results of the evaluation indicate that the hierarchical modeling can reduce training time while maintaining accuracy of the learned model. PMID:25302084

Mode of Delivery: A Classroom Assessment Technique Comparison between Verbal and Non-Verbal Communication

ERIC Educational Resources Information Center

Hogan, Andrea; Daw, Jolene

2014-01-01

This study explores how using Classroom Assessment Techniques (CATs) in phone conversations with students may help to clarify learning objectives and encourage active learning in distance education. For this study, research was collected from introductory undergraduate online courses at a university in the Southwest. Data was collected from three…

Figure Analysis: An Implementation Dialogue

ERIC Educational Resources Information Center

Wiles, Amy M.

2016-01-01

Figure analysis is a novel active learning teaching technique that reinforces visual literacy. Small groups of students discuss diagrams in class in order to learn content. The instructor then gives a brief introduction and later summarizes the content of the figure. This teaching technique can be used in place of lecture as a mechanism to deliver…

A Partial Flip Classroom Exercise in a Large Introductory General Biology Course Increases Performance at Multiple Levels

ERIC Educational Resources Information Center

Lax, Neil; Morris, James; Kolber, Benedict J.

2017-01-01

Incorporation of active learning into large lecture classes is gaining popularity as a pedagogical method due to its known benefits in helping learning outcomes. A more recent active learning technique that has emerged is the flipped classroom. In this study, we investigated the effects of incorporating a "partial-flip" into an…

A Question of Questions.

ERIC Educational Resources Information Center

Fenwick, John; McMillan, Rod

In a conventional teaching situation, a lecturer may use a wide range of questioning techniques aimed at helping students to become active learners. In distance learning, students are often isolated and have limited opportunities for interaction in a social learning environment. Hence, learning strategies in distance learning need to be structured…

Storytelling: a teaching-learning technique.

PubMed

Geanellos, R

1996-03-01

Nurses' stories, arising from the practice world, reconstruct the essence of experience as lived and provide vehicles for learning about nursing. The learning process is forwarded by combining storytelling and reflection. Reflection represents an active, purposive, contemplative and deliberative approach to learning through which learners create meaning from the learning experience. The combination of storytelling and reflection allows the creation of links between the materials at hand and prior and future learning. As a teaching-learning technique storytelling engages learners; organizes information; allows exploration of shared lived experiences without the demands, responsibilities and consequences of practice; facilitates remembering; enhances discussion, problem posing and problem solving; and aids understanding of what it is to nurse and to be a nurse.

Cognitive Scoffolding in the Learning of Foreign Language Vocabulary: An Experimental Study.

ERIC Educational Resources Information Center

Butler, David C.; And Others

This paper reports on an experiment in mathemagenic behavior ("Student inspection and processing activities that give birth to learning") as related to second-language vocabulary learning. The experiment was designed to determine whether visual mnemonics are more effective than unelaborated rehearsal technique for learning FL vocabulary, and…

Current Situation and Analysis of Geography Teachers' Active Learning Knowledge and Usage in Turkey

ERIC Educational Resources Information Center

Tuna, Fikret

2012-01-01

In parallel to the developments in the approach to education, the secondary education geography curriculum in Turkey was renewed in 2005. This new programme encourages the use of active learning methods and techniques in the classroom by adopting the idea that students should construct and interpret knowledge by actively participating in the…

Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set.

PubMed

Zhang, Xiao-Yu; Wang, Shupeng; Yun, Xiaochun

2015-12-01

In practical machine learning applications, human instruction is indispensable for model construction. To utilize the precious labeling effort effectively, active learning queries the user with selective sampling in an interactive way. Traditional active learning techniques merely focus on the unlabeled data set under a unidirectional exploration framework and suffer from model deterioration in the presence of noise. To address this problem, this paper proposes a novel bidirectional active learning algorithm that explores into both unlabeled and labeled data sets simultaneously in a two-way process. For the acquisition of new knowledge, forward learning queries the most informative instances from unlabeled data set. For the introspection of learned knowledge, backward learning detects the most suspiciously unreliable instances within the labeled data set. Under the two-way exploration framework, the generalization ability of the learning model can be greatly improved, which is demonstrated by the encouraging experimental results.

Promoting Metacognition in First Year Anatomy Laboratories Using Plasticine Modeling and Drawing Activities: A Pilot Study of the "Blank Page" Technique

ERIC Educational Resources Information Center

Naug, Helen L.; Colson, Natalie J.; Donner, Daniel G.

2011-01-01

Many first year students of anatomy and physiology courses demonstrate an inability to self-regulate their learning. To help students increase their awareness of their own learning in a first year undergraduate anatomy course, we piloted an exercise that incorporated the processes of (1) active learning: drawing and plasticine modeling and (2)…

A Severe Weather Laboratory Exercise for an Introductory Weather and Climate Class Using Active Learning Techniques

ERIC Educational Resources Information Center

Grundstein, Andrew; Durkee, Joshua; Frye, John; Andersen, Theresa; Lieberman, Jordan

2011-01-01

This paper describes a new severe weather laboratory exercise for an Introductory Weather and Climate class, appropriate for first and second year college students (including nonscience majors), that incorporates inquiry-based learning techniques. In the lab, students play the role of meteorologists making forecasts for severe weather. The…

Using Game Theory and Competition-Based Learning to Stimulate Student Motivation and Performance

ERIC Educational Resources Information Center

Burguillo, Juan C.

2010-01-01

This paper introduces a framework for using Game Theory tournaments as a base to implement Competition-based Learning (CnBL), together with other classical learning techniques, to motivate the students and increase their learning performance. The paper also presents a description of the learning activities performed along the past ten years of a…

Uncovering Pompeii: Examining Evidence.

ERIC Educational Resources Information Center

Yell, Michael M.

2001-01-01

Presents a lesson plan on Pompeii (Italy) for middle school students that utilizes a teaching technique called interactive presentation. Describes the technique's five phases: (1) discrepant event inquiry; (2) discussion/presentation; (3) cooperative learning activity; (4) writing for understanding activity; and (5) whole-class discussion and…

Computer-Assisted Programmed Instruction in Textiles.

ERIC Educational Resources Information Center

Kean, Rita C.; Laughlin, Joan

Students in an introductory textiles course at the University of Nebraska's College of Home Economics actively participate in the learning experience through a self-paced instructional technique. Specific learning packets were developed adapting programmed instructional learning materials to computer assisted instruction (CAI). A study booklet…

Using VocabularySpellingCity with Adult ESOL Students in Community College

ERIC Educational Resources Information Center

Krause, Tim

2018-01-01

Vocabulary acquisition is central to language learning, and many instructors believe that technology can facilitate this core activity. While numerous websites and apps offer language-learning activities and games, not all provide evidence that their content and techniques are effective. VocabularySpellingCity (VSC), however, commissioned a study…

Learning Activity Package, Physical Science. LAP Numbers 1, 2, 3, and 4.

ERIC Educational Resources Information Center

Williams, G. J.

These four units of the Learning Activity Packages (LAPs) for individualized instruction in physical science cover measuring techniques, operations of instruments, metric system heat, matter, energy, elements, atomic numbers, isotopes, molecules, mixtures, compounds, physical and chemical properties, liquids, solids, and gases. Each unit contains…

The "Iron Inventor": Using Creative Problem Solving to Spur Student Creativity

ERIC Educational Resources Information Center

Lee, Seung Hwan; Hoffman, K. Douglas

2014-01-01

Based on the popular television show the "Iron Chef," an innovative marketing activity called the "Iron Inventor" is introduced. Using the creative problem-solving approach and active learning techniques, the Iron Inventor facilitates student learning pertaining to the step-by-step processes of creating a new product and…

Learning Styles versus the Rip Van Winkle Syndrome.

ERIC Educational Resources Information Center

Orsak, Lana

1990-01-01

Rip Van Winkle would not recognize Corsicana (Texas) High School since its curriculum coordinator began implementing learning styles techniques in various pilot programs. Lecturing to rows of bored students has been replaced by students' active involvement in group activities, listening centers, and tactile/kinesthetic exercises on the floor or at…

Deep imitation learning for 3D navigation tasks.

PubMed

Hussein, Ahmed; Elyan, Eyad; Gaber, Mohamed Medhat; Jayne, Chrisina

2018-01-01

Deep learning techniques have shown success in learning from raw high-dimensional data in various applications. While deep reinforcement learning is recently gaining popularity as a method to train intelligent agents, utilizing deep learning in imitation learning has been scarcely explored. Imitation learning can be an efficient method to teach intelligent agents by providing a set of demonstrations to learn from. However, generalizing to situations that are not represented in the demonstrations can be challenging, especially in 3D environments. In this paper, we propose a deep imitation learning method to learn navigation tasks from demonstrations in a 3D environment. The supervised policy is refined using active learning in order to generalize to unseen situations. This approach is compared to two popular deep reinforcement learning techniques: deep-Q-networks and Asynchronous actor-critic (A3C). The proposed method as well as the reinforcement learning methods employ deep convolutional neural networks and learn directly from raw visual input. Methods for combining learning from demonstrations and experience are also investigated. This combination aims to join the generalization ability of learning by experience with the efficiency of learning by imitation. The proposed methods are evaluated on 4 navigation tasks in a 3D simulated environment. Navigation tasks are a typical problem that is relevant to many real applications. They pose the challenge of requiring demonstrations of long trajectories to reach the target and only providing delayed rewards (usually terminal) to the agent. The experiments show that the proposed method can successfully learn navigation tasks from raw visual input while learning from experience methods fail to learn an effective policy. Moreover, it is shown that active learning can significantly improve the performance of the initially learned policy using a small number of active samples.

Technique Feature Analysis or Involvement Load Hypothesis: Estimating Their Predictive Power in Vocabulary Learning.

PubMed

Gohar, Manoochehr Jafari; Rahmanian, Mahboubeh; Soleimani, Hassan

2018-02-05

Vocabulary learning has always been a great concern and has attracted the attention of many researchers. Among the vocabulary learning hypotheses, involvement load hypothesis and technique feature analysis have been proposed which attempt to bring some concepts like noticing, motivation, and generation into focus. In the current study, 90 high proficiency EFL students were assigned into three vocabulary tasks of sentence making, composition, and reading comprehension in order to examine the power of involvement load hypothesis and technique feature analysis frameworks in predicting vocabulary learning. It was unraveled that involvement load hypothesis cannot be a good predictor, and technique feature analysis was a good predictor in pretest to posttest score change and not in during-task activity. The implications of the results will be discussed in the light of preparing vocabulary tasks.

Gaining Insight into Business Telecommunications Students through the Assessment of Learning Styles

ERIC Educational Resources Information Center

Sandman, Thomas E.

2009-01-01

The assessment of student learning styles can be of significant value for developing and evaluating an appropriate mix of pedagogical techniques and activities. With this in mind, learning style preferences were collected from over 300 undergraduate business telecommunications students. These set of data show that a breadth of learning style…

Embedding Blended Learning in a University's Teaching Culture: Experiences and Reflections

ERIC Educational Resources Information Center

Davis, Hugh C.; Fill, Karen

2007-01-01

Blended learning, the combination of traditional face-to-face teaching methods with authentic online learning activities, has the potential to transform student-learning experiences and outcomes. In spite of this advantage, university teachers often find it difficult to adopt new online techniques, in part because institutional practices are still…

ConfChem Conference on Select 2016 BCCE Presentations: Putting Your Own Personal Twist on a Flipped Organic Classroom and Selling the Idea to Students

ERIC Educational Resources Information Center

Thomas, Ashleigh L. P.

2017-01-01

This paper presents gradual implementation of active learning approaches in an organic chemistry classroom based on student feedback and strategies for getting students on-board with this new approach. Active learning techniques discussed include videos, online quizzes, reading assignments, and classroom activities. Preliminary findings indicate a…

Active learning of cortical connectivity from two-photon imaging data.

PubMed

Bertrán, Martín A; Martínez, Natalia L; Wang, Ye; Dunson, David; Sapiro, Guillermo; Ringach, Dario

2018-01-01

Understanding how groups of neurons interact within a network is a fundamental question in system neuroscience. Instead of passively observing the ongoing activity of a network, we can typically perturb its activity, either by external sensory stimulation or directly via techniques such as two-photon optogenetics. A natural question is how to use such perturbations to identify the connectivity of the network efficiently. Here we introduce a method to infer sparse connectivity graphs from in-vivo, two-photon imaging of population activity in response to external stimuli. A novel aspect of the work is the introduction of a recommended distribution, incrementally learned from the data, to optimally refine the inferred network. Unlike existing system identification techniques, this "active learning" method automatically focuses its attention on key undiscovered areas of the network, instead of targeting global uncertainty indicators like parameter variance. We show how active learning leads to faster inference while, at the same time, provides confidence intervals for the network parameters. We present simulations on artificial small-world networks to validate the methods and apply the method to real data. Analysis of frequency of motifs recovered show that cortical networks are consistent with a small-world topology model.

Improvements in Students' Understanding from Increased Implementation of Active Learning Strategies

NASA Astrophysics Data System (ADS)

Hayes-Gehrke, Melissa N.; Prather, E. E.; Rudolph, A. L.; Collaboration of Astronomy Teaching Scholars CATS

2011-01-01

Many instructors are hesitant to implement active learning strategies in their introductory astronomy classrooms because they are not sure which techniques they should use, how to implement those techniques, and question whether the investment in changing their course will really bring the advertised learning gains. We present an example illustrating how thoughtful and systematic implementation of active learning strategies into a traditionally taught Astro 101 class can translate into significant increases in students' understanding. We detail the journey of one instructor, over several years, as she changes the instruction and design of her course from one that focuses almost exclusively on lecture to a course that provides an integrated use of several active learning techniques such as Lecture-Tutorials and Think-Pair-Share questions. The students in the initial lecture-only course achieved a low normalized gain score of only 0.2 on the Light and Spectroscopy Concept Inventory (LSCI), while the students in the re-designed learner-centered course achieved a significantly better normalized gain of 0.43. This material is based upon work supported by the National Science Foundation under Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS), and Grant No. 0847170, a PAARE Grant for the Calfornia-Arizona Minority Partnership for Astronomy Research and Education (CAMPARE). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Exploring Machine Learning Techniques Using Patient Interactions in Online Health Forums to Classify Drug Safety

ERIC Educational Resources Information Center

Chee, Brant Wah Kwong

2011-01-01

This dissertation explores the use of personal health messages collected from online message forums to predict drug safety using natural language processing and machine learning techniques. Drug safety is defined as any drug with an active safety alert from the US Food and Drug Administration (FDA). It is believed that this is the first…

Active learning methods for interactive image retrieval.

PubMed

Gosselin, Philippe Henri; Cord, Matthieu

2008-07-01

Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensions are now being proposed to handle multimedia applications. This paper provides algorithms within a statistical framework to extend active learning for online content-based image retrieval (CBIR). The classification framework is presented with experiments to compare several powerful classification techniques in this information retrieval context. Focusing on interactive methods, active learning strategy is then described. The limitations of this approach for CBIR are emphasized before presenting our new active selection process RETIN. First, as any active method is sensitive to the boundary estimation between classes, the RETIN strategy carries out a boundary correction to make the retrieval process more robust. Second, the criterion of generalization error to optimize the active learning selection is modified to better represent the CBIR objective of database ranking. Third, a batch processing of images is proposed. Our strategy leads to a fast and efficient active learning scheme to retrieve sets of online images (query concept). Experiments on large databases show that the RETIN method performs well in comparison to several other active strategies.

Adaptive Batch Mode Active Learning.

PubMed

Chakraborty, Shayok; Balasubramanian, Vineeth; Panchanathan, Sethuraman

2015-08-01

Active learning techniques have gained popularity to reduce human effort in labeling data instances for inducing a classifier. When faced with large amounts of unlabeled data, such algorithms automatically identify the exemplar and representative instances to be selected for manual annotation. More recently, there have been attempts toward a batch mode form of active learning, where a batch of data points is simultaneously selected from an unlabeled set. Real-world applications require adaptive approaches for batch selection in active learning, depending on the complexity of the data stream in question. However, the existing work in this field has primarily focused on static or heuristic batch size selection. In this paper, we propose two novel optimization-based frameworks for adaptive batch mode active learning (BMAL), where the batch size as well as the selection criteria are combined in a single formulation. We exploit gradient-descent-based optimization strategies as well as properties of submodular functions to derive the adaptive BMAL algorithms. The solution procedures have the same computational complexity as existing state-of-the-art static BMAL techniques. Our empirical results on the widely used VidTIMIT and the mobile biometric (MOBIO) data sets portray the efficacy of the proposed frameworks and also certify the potential of these approaches in being used for real-world biometric recognition applications.

Active Learning and Cooperative Learning in the Organic Chemistry Lecture Class

NASA Astrophysics Data System (ADS)

Paulson, Donald R.

1999-08-01

Faculty in the physical sciences are one of the academic groups least receptive to the use of active learning strategies and cooperative learning in their classrooms. This is particularly so in traditional lecture classes. It is the objective of this paper to show how effective these techniques can be in improving student performance in classes. The use of active learning strategies and cooperative learning groups in my organic chemistry lecture classes has increased the overall pass rate in my classes by an astounding 20-30% over the traditional lecture mode. This has been accomplished without any reduction in "standards". The actual methods employed are presented as well as a discussion of how I came to radically change the way I teach my classes.

Exploring a Monetary Union among Nations through Active Learning

ERIC Educational Resources Information Center

Goma, Ophelia D.

2002-01-01

This article presents a classroom project that employs various techniques of active learning including role-playing, collaborative group work and writing. The project explores the recent creation of the European Monetary Union (EMU) with special emphasis on the introduction of the euro. The project assumes that the Americas have begun preliminary…

Explorations in Statistics: Correlation

ERIC Educational Resources Information Center

Curran-Everett, Douglas

2010-01-01

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This sixth installment of "Explorations in Statistics" explores correlation, a familiar technique that estimates the magnitude of a straight-line relationship between two variables. Correlation is meaningful only when the…

Addressing Information Literacy through Student-Centered Learning

ERIC Educational Resources Information Center

Bond, Paul

2016-01-01

This case study describes several courses that resulted from a teaching partnership between an instructional technologist/professor and a librarian that evolved over several semesters, and the information literacy implications of the course formats. In order to increase student engagement, active learning and inquiry-based learning techniques were…

Green Map Exercises as an Avenue for Problem-Based Learning in a Data-Rich Environment

ERIC Educational Resources Information Center

Tulloch, David; Graff, Elizabeth

2007-01-01

This article describes a series of data-based Green Map learning exercises positioned within a problem-based framework and examines the appropriateness of projects like these as a form of geography education. Problem-based learning (PBL) is an educational technique that engages students in learning through activities that require creative problem…

Cooperative Learning Instructional Methods for CS1: Design, Implementation, and Evaluation

ERIC Educational Resources Information Center

Beck, Leland; Chizhik, Alexander

2013-01-01

Cooperative learning is a well-known instructional technique that has been applied with a wide variety of subject matter and a broad spectrum of populations. This article briefly reviews the principles of cooperative learning, and describes how these principles were incorporated into a comprehensive set of cooperative learning activities for a CS1…

Reflection on Cuboid Net with Mathematical Learning Quality

NASA Astrophysics Data System (ADS)

Sari, Atikah; Suryadi, Didi; Syaodih, Ernawulan

2017-09-01

This research aims to formulate an alternative to the reflection in mathematics learning activities related to the activities of the professionalism of teachers motivated by a desire to improve the quality of learning. This study is a qualitative study using the Didactical Design research. This study was conducted in one of the elementary schools. The data collection techniques are triangulation with the research subject is teacher 5th grade. The results of this study indicate that through deep reflection, teachers can design learning design in accordance with the conditions of the class. Also revealed that teachers have difficulty in choosing methods of learning and contextual learning media. Based on the implementation of activities of reflection and make the learning design based on the results of reflection can be concluded that the quality of learning in the class will develop.

Pedagogical Techniques Employed by the Television Show "MythBusters"

NASA Astrophysics Data System (ADS)

Zavrel, Erik

2016-11-01

"MythBusters," the long-running though recently discontinued Discovery Channel science entertainment television program, has proven itself to be far more than just a highly rated show. While its focus is on entertainment, the show employs an array of pedagogical techniques to communicate scientific concepts to its audience. These techniques include: achieving active learning, avoiding jargon, employing repetition to ensure comprehension, using captivating demonstrations, cultivating an enthusiastic disposition, and increasing intrinsic motivation to learn. In this content analysis, episodes from the show's 10-year history were examined for these techniques. "MythBusters" represents an untapped source of pedagogical techniques, which science educators may consider availing themselves of in their tireless effort to better reach their students. Physics educators in particular may look to "MythBusters" for inspiration and guidance in how to incorporate these techniques into their own teaching and help their students in the learning process.

Animal-Centered Learning Activities in Pharmacy Education

PubMed Central

Lust, Elaine

2006-01-01

Objectives To assess the contribution of animal-centered activities to students achieving learning outcomes in a veterinary therapeutics course. Design Qualitative methods were used to assess the outcome of using “hands-on” animal interactions as tools of engagement in the course. Reflective commentary on animal-centered activities was collected and analyzed. Assessment Animal-centered learning activities are effective tools for engaging students and facilitating their understanding and application of veterinary therapeutic knowledge, skills, and attitudes. Analysis of qualitative data revealed themes of professional caring and caring behaviors as a direct result of animal-centered activities. Elements of empathy, caring, compassion, and self-awareness were strong undercurrents in student's comments. Conclusions Animal-centered learning activities provide an innovative learning environment for the application of veterinary pharmacy knowledge, skills, and attitudes directly to animal patients. The use of animals in the course is a successful active-learning technique to engage pharmacy students and assist them in developing caring attitudes and behaviors beneficial to future health care providers. PMID:17149415

The Importance of Time Management Skills for the Child or Adolescent with Learning Disabilities.

ERIC Educational Resources Information Center

Pisarchick, Sally E.

This document discusses the importance of time management for learning-disabled students and techniques to enhance the teaching of time management skills. Teaching effective time management calls for consideration of the student's readiness to learn new material, effective transitions between activities, clear prioritization of educational…

Characterizing Student Perceptions of and Buy-In toward Common Formative Assessment Techniques

ERIC Educational Resources Information Center

Brazeal, Kathleen R.; Brown, Tanya L.; Couch, Brian A.

2016-01-01

Formative assessments (FAs) can occur as preclass assignments, in-class activities, or postclass homework. FAs aim to promote student learning by accomplishing key objectives, including clarifying learning expectations, revealing student thinking to the instructor, providing feedback to the student that promotes learning, facilitating peer…

FísicActiva: Applying Active Learning Strategies to a Large Engineering Lecture

ERIC Educational Resources Information Center

Auyuanet, Adriana; Modzelewski, Helena; Loureiro, Silvia; Alessandrini, Daniel; Míguez, Marina

2018-01-01

This paper presents and analyses the results obtained by applying Active Learning techniques in overcrowded Physics lectures at the University of the Republic, Uruguay. The course referred to is Physics 1, the first Physics course that all students of the Faculty of Engineering take in their first semester for all the Engineering-related careers.…

Using Stable Carbon and Nitrogen Isotopes of Hair to Teach about Sustainable Agriculture through Active Learning

ERIC Educational Resources Information Center

Cotton, Jennifer M.; Sheldon, Nathan D.

2013-01-01

The call for reform of science education is nearly three decades old (National Commission on Excellence in Education, 1983), but the implementation of such education improvements in the form of active learning techniques in large enrollment classes remains difficult. Here we present a class project designed to increase student involvement and…

3-Dimensional and Interactive Istanbul University Virtual Laboratory Based on Active Learning Methods

ERIC Educational Resources Information Center

Ince, Elif; Kirbaslar, Fatma Gulay; Yolcu, Ergun; Aslan, Ayse Esra; Kayacan, Zeynep Cigdem; Alkan Olsson, Johanna; Akbasli, Ayse Ceylan; Aytekin, Mesut; Bauer, Thomas; Charalambis, Dimitris; Gunes, Zeliha Ozsoy; Kandemir, Ceyhan; Sari, Umit; Turkoglu, Suleyman; Yaman, Yavuz; Yolcu, Ozgu

2014-01-01

The purpose of this study is to develop a 3-dimensional interactive multi-user and multi-admin IUVIRLAB featuring active learning methods and techniques for university students and to introduce the Virtual Laboratory of Istanbul University and to show effects of IUVIRLAB on students' attitudes on communication skills and IUVIRLAB. Although there…

New Ways of Using Computers in Language Teaching. New Ways in TESOL Series II. Innovative Classroom Techniques.

ERIC Educational Resources Information Center

Boswood, Tim, Ed.

A collection of classroom approaches and activities using computers for language learning is presented. Some require sophisticated installations, but most do not, and most use software readily available on most workplace computer systems. The activities were chosen because they use sound language learning strategies. The book is divided into five…

Using Word Clouds for Fast, Formative Assessment of Students' Short Written Responses

ERIC Educational Resources Information Center

Brooks, Bill J.; Gilbuena, Debra M.; Krause, Stephen J.; Koretsky, Milo D.

2014-01-01

Active learning in class helps students develop deeper understanding of chemical engineering principles. While the use of multiple-choice ConcepTests is clearly effective, we advocate for including student writing in learning activities as well. In this article, we demonstrate that word clouds can provide a quick analytical technique to assess…

Teaching Record-Keeping Skills to 4-H Youths through Experiential Learning Techniques

ERIC Educational Resources Information Center

Roland, Tyanne J.; Fisher, Meredith

2016-01-01

Teaching record keeping for breeding projects in a way that keeps youths engaged is a difficult task. The activity discussed in this article was used to teach 4-H participants the importance of record keeping by implementing the experiential learning model and without lecturing. A description of the activity, instructions and materials for the…

Bullying in Virtual Learning Communities.

PubMed

Nikiforos, Stefanos; Tzanavaris, Spyros; Kermanidis, Katia Lida

2017-01-01

Bullying through the internet has been investigated and analyzed mainly in the field of social media. In this paper, it is attempted to analyze bullying in the Virtual Learning Communities using Natural Language Processing (NLP) techniques, mainly in the context of sociocultural learning theories. Therefore four case studies took place. We aim to apply NLP techniques to speech analysis on communication data of online communities. Emphasis is given on qualitative data, taking into account the subjectivity of the collaborative activity. Finally, this is the first time such type of analysis is attempted on Greek data.

Using cooperative learning for a drug information assignment.

PubMed

Earl, Grace L

2009-11-12

To implement a cooperative learning activity to engage students in analyzing tertiary drug information resources in a literature evaluation course. The class was divided into 4 sections to form expert groups and each group researched a different set of references using the jigsaw technique. Each member of each expert group was reassigned to a jigsaw group so that each new group was composed of 4 students from 4 different expert groups. The jigsaw groups met to discuss search strategies and rate the usefulness of the references. In addition to group-based learning, teaching methods included students' writing an independent research paper to enhance their abilities to search and analyze drug information resources. The assignment and final course grades improved after implementation of the activity. Students agreed that class discussions were a useful learning experience and 75% (77/102) said they would use the drug information references for other courses. The jigsaw technique was successful in engaging students in cooperative learning to improve critical thinking skills regarding drug information.

Survey of Machine Learning Methods for Database Security

NASA Astrophysics Data System (ADS)

Kamra, Ashish; Ber, Elisa

Application of machine learning techniques to database security is an emerging area of research. In this chapter, we present a survey of various approaches that use machine learning/data mining techniques to enhance the traditional security mechanisms of databases. There are two key database security areas in which these techniques have found applications, namely, detection of SQL Injection attacks and anomaly detection for defending against insider threats. Apart from the research prototypes and tools, various third-party commercial products are also available that provide database activity monitoring solutions by profiling database users and applications. We present a survey of such products. We end the chapter with a primer on mechanisms for responding to database anomalies.

TECHNIQUES FOR TEACHING CONSERVATION EDUCATION.

ERIC Educational Resources Information Center

BROWN, ROBERT E.; MOUSER, G.W.

CONSERVATION PRINCIPLES, FIELD METHODS AND TECHNIQUES, AND SPECIFIC FIELD LEARNING ACTIVITIES ARE INCLUDED IN THIS REFERENCE VOLUME FOR TEACHERS. CONSERVATION PRINCIPLES INCLUDE STATEMENTS PERTAINING TO (1) SOIL, (2) WATER, (3) FOREST, AND (4) WILDLIFE. FIELD METHODS AND TECHNIQUES INCLUDE (1) PREPARING FOR A FIELD TRIP, (2) GETTING STUDENT…

A comparison of two neural network schemes for navigation

NASA Technical Reports Server (NTRS)

Munro, Paul W.

1989-01-01

Neural networks have been applied to tasks in several areas of artificial intelligence, including vision, speech, and language. Relatively little work has been done in the area of problem solving. Two approaches to path-finding are presented, both using neural network techniques. Both techniques require a training period. Training under the back propagation (BPL) method was accomplished by presenting representations of (current position, goal position) pairs as input and appropriate actions as output. The Hebbian/interactive activation (HIA) method uses the Hebbian rule to associate points that are nearby. A path to a goal is found by activating a representation of the goal in the network and processing until the current position is activated above some threshold level. BPL, using back-propagation learning, failed to learn, except in a very trivial fashion, that is equivalent to table lookup techniques. HIA, performed much better, and required storage of fewer weights. In drawing a comparison, it is important to note that back propagation techniques depend critically upon the forms of representation used, and can be sensitive to parameters in the simulations; hence the BPL technique may yet yield strong results.

A comparison of two neural network schemes for navigation

NASA Technical Reports Server (NTRS)

Munro, Paul

1990-01-01

Neural networks have been applied to tasks in several areas of artificial intelligence, including vision, speech, and language. Relatively little work has been done in the area of problem solving. Two approaches to path-finding are presented, both using neural network techniques. Both techniques require a training period. Training under the back propagation (BPL) method was accomplished by presenting representations of current position, goal position pairs as input and appropriate actions as output. The Hebbian/interactive activation (HIA) method uses the Hebbian rule to associate points that are nearby. A path to a goal is found by activating a representation of the goal in the network and processing until the current position is activated above some threshold level. BPL, using back-propagation learning, failed to learn, except in a very trivial fashion, that is equivalent to table lookup techniques. HIA, performed much better, and required storage of fewer weights. In drawing a comparison, it is important to note that back propagation techniques depend critically upon the forms of representation used, and can be sensitive to parameters in the simulations; hence the BPL technique may yet yield strong results.

Contextualized Writing: Promoting Audience-Centered Writing through Scenario-Based Learning

ERIC Educational Resources Information Center

Golden, Paullett

2018-01-01

Scenario-based learning is an approach for student-centered learning used in the medical and legal fields, but is little used in liberal arts. In this study, I examine students' understanding and application of audience-centered writing techniques after a semester of formal scenario-based essays and problem-based activities. Comparing the grades…

Incorporating Service-Learning, Technology, and Research Supportive Teaching Techniques into the University Chemistry Classroom

ERIC Educational Resources Information Center

Saitta, E. K. H.; Bowdon, M. A.; Geiger, C. L.

2011-01-01

Technology was integrated into service-learning activities to create an interactive teaching method for undergraduate students at a large research institution. Chemistry students at the University of Central Florida partnered with high school students at Crooms Academy of Information Technology in interactive service learning projects. The…

Cultivating ICT Students' Interpersonal Soft Skills in Online Learning Environments Using Traditional Active Learning Techniques

ERIC Educational Resources Information Center

Myers, Trina S.; Blackman, Anna; Andersen, Trevor; Hay, Rachel; Lee, Ickjai; Gray, Heather

2014-01-01

Flexible online delivery of tertiary ICT programs is experiencing rapid growth. Creating an online environment that develops team building and interpersonal skills is difficult due to factors such as student isolation and the individual-centric model of online learning that encourages discrete study rather than teamwork. Incorporating teamwork…

Incorporating Students' Self-Designed, Research-Based Analytical Chemistry Projects into the Instrumentation Curriculum

ERIC Educational Resources Information Center

Gao, Ruomei

2015-01-01

In a typical chemistry instrumentation laboratory, students learn analytical techniques through a well-developed procedure. Such an approach, however, does not engage students in a creative endeavor. To foster the intrinsic motivation of students' desire to learn, improve their confidence in self-directed learning activities and enhance their…

The Use of the First Language in Second Language Learning Reconsidered

ERIC Educational Resources Information Center

Halasa, Najwa Hanna; Al-Manaseer, Majeda

2012-01-01

This paper aims to study new techniques in second language learning involving the active use of the mother tongue in classroom situations. Several teaching methods will be discussed such as The Alternating Approach, The New Concurrent Method, and Community Language Learning method. These methods of employing the first language recognise the link…

The Development of Gamified Learning Activities to Increase Student Engagement in Learning

ERIC Educational Resources Information Center

Poondej, Chanut; Lerdpornkulrat, Thanita

2016-01-01

In the literature, the potential efficacy of the gamification of education has been demonstrated. The aim of this study was to explore the influence of applying gamification techniques to increase student engagement in learning. The quasi-experimental nonequivalent-control group design was used with 577 undergraduate students from six classes. The…

Methods and Strategies: What's the Story?

ERIC Educational Resources Information Center

Lipsitz, Kelsey; Cisterna, Dante; Hanuscin, Deborah

2017-01-01

This column provides ideas and techniques to enhance your science teaching. This month's issue discusses using the 5E learning cycle to create coherent storylines. The 5E learning cycle provides an important framework to help teachers organize activities. To realize the full potential of the 5E framework for student learning, lessons must also…

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: Translational controller results

NASA Technical Reports Server (NTRS)

Jani, Yashvant

1992-01-01

The reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Maximum Mission (SMM) satellite simulation. In utilizing these fuzzy learning techniques, we also use the Approximate Reasoning based Intelligent Control (ARIC) architecture, and so we use two terms interchangeable to imply the same. This activity is carried out in the Software Technology Laboratory utilizing the Orbital Operations Simulator (OOS). This report is the deliverable D3 in our project activity and provides the test results of the fuzzy learning translational controller. This report is organized in six sections. Based on our experience and analysis with the attitude controller, we have modified the basic configuration of the reinforcement learning algorithm in ARIC as described in section 2. The shuttle translational controller and its implementation in fuzzy learning architecture is described in section 3. Two test cases that we have performed are described in section 4. Our results and conclusions are discussed in section 5, and section 6 provides future plans and summary for the project.

Incorporating active-learning techniques and competency assessment into a critical care elective course.

PubMed

Malcom, Daniel R; Hibbs, Jennifer L

2012-09-10

To design, implement, and measure the effectiveness of a critical care elective course for second-year students in a 3-year accelerated doctor of pharmacy (PharmD) program. A critical care elective course was developed that used active-learning techniques, including cooperative learning and group presentations, to deliver content on critical care topics. Group presentations had to include a disease state overview, practice guidelines, and clinical recommendations, and were evaluated by course faculty members and peers. Students' mean scores on a 20-question critical-care competency assessment administered before and after the course improved by 11% (p < 0.05). Course evaluations and comments were positive. A critical care elective course resulted in significantly improved competency in critical care and was well-received by students.

Active Learning to Improve Presentation Skills: The Use of Pecha Kucha in Undergraduate Sales Management Classes

ERIC Educational Resources Information Center

McDonald, Robert E.; Derby, Joseph M.

2015-01-01

Recruiters seek candidates with certain business skills that are not developed in the typical lecture-based classroom. Instead, active-learning techniques have been shown to be effective in honing these skills. One skill that is particularly important in sales careers is the ability to make a powerful and effective presentation. To help students…

An Epidemiologic Study of Genetic Variation in Hormonal Pathways in Relation to the Effect of Hormone Replacement Therapy on Breast Cancer Risk

DTIC Science & Technology

2007-04-01

active learning techniques in Introduction to Epidemiology Ongoing5 W81XWH-06-1-0312 Reding, Kerryn 7 TASK STATUS of FUTURE TASKS Task 3...Apply for and obtain IRB renewal Ongoing task Task 4: Training-related Work (Months 13-36) a. Present research findings on active learning at

Toward accelerating landslide mapping with interactive machine learning techniques

NASA Astrophysics Data System (ADS)

Stumpf, André; Lachiche, Nicolas; Malet, Jean-Philippe; Kerle, Norman; Puissant, Anne

2013-04-01

Despite important advances in the development of more automated methods for landslide mapping from optical remote sensing images, the elaboration of inventory maps after major triggering events still remains a tedious task. Image classification with expert defined rules typically still requires significant manual labour for the elaboration and adaption of rule sets for each particular case. Machine learning algorithm, on the contrary, have the ability to learn and identify complex image patterns from labelled examples but may require relatively large amounts of training data. In order to reduce the amount of required training data active learning has evolved as key concept to guide the sampling for applications such as document classification, genetics and remote sensing. The general underlying idea of most active learning approaches is to initialize a machine learning model with a small training set, and to subsequently exploit the model state and/or the data structure to iteratively select the most valuable samples that should be labelled by the user and added in the training set. With relatively few queries and labelled samples, an active learning strategy should ideally yield at least the same accuracy than an equivalent classifier trained with many randomly selected samples. Our study was dedicated to the development of an active learning approach for landslide mapping from VHR remote sensing images with special consideration of the spatial distribution of the samples. The developed approach is a region-based query heuristic that enables to guide the user attention towards few compact spatial batches rather than distributed points resulting in time savings of 50% and more compared to standard active learning techniques. The approach was tested with multi-temporal and multi-sensor satellite images capturing recent large scale triggering events in Brazil and China and demonstrated balanced user's and producer's accuracies between 74% and 80%. The assessment also included an experimental evaluation of the uncertainties of manual mappings from multiple experts and demonstrated strong relationships between the uncertainty of the experts and the machine learning model.

Is Peer Interaction Necessary for Optimal Active Learning?

PubMed

Linton, Debra L; Farmer, Jan Keith; Peterson, Ernie

2014-01-01

Meta-analyses of active-learning research consistently show that active-learning techniques result in greater student performance than traditional lecture-based courses. However, some individual studies show no effect of active-learning interventions. This may be due to inexperienced implementation of active learning. To minimize the effect of inexperience, we should try to provide more explicit implementation recommendations based on research into the key components of effective active learning. We investigated the optimal implementation of active-learning exercises within a "lecture" course. Two sections of nonmajors biology were taught by the same instructor, in the same semester, using the same instructional materials and assessments. Students in one section completed in-class active-learning exercises in cooperative groups, while students in the other section completed the same activities individually. Performance on low-level, multiple-choice assessments was not significantly different between sections. However, students who worked in cooperative groups on the in-class activities significantly outperformed students who completed the activities individually on the higher-level, extended-response questions. Our results provide additional evidence that group processing of activities should be the recommended mode of implementation for in-class active-learning exercises. © 2014 D. L. Linton et al. CBE—Life Sciences Education © 2014 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Student Motivation.

ERIC Educational Resources Information Center

Practitioner, 1987

1987-01-01

Although ability partly explains why some students are eager to learn in school whereas others are disinterested, motivation is another significant factor. This newsletter discusses factors that affect students' motivation to learn, considers techniques that can increase motivation, and identifies schools that have developed activities to enhance…

Mentos and Scientific Method: A Sweet Combination

ERIC Educational Resources Information Center

Eichler, Jack F.; Patrick, Heather; Harmon, Brenda; Coonce, Janet

2007-01-01

Several active-learning techniques and inquiry-driven laboratory exercises were incorporated in labs to determine the effects of these methodologies on the fundamental skills of the students. The practice has been found extremely useful for developing the learning abilities of the students.

Group Grammar

ERIC Educational Resources Information Center

Adams, Karen

2015-01-01

In this article Karen Adams demonstrates how to incorporate group grammar techniques into a classroom activity. In the activity, students practice using the target grammar to do something they naturally enjoy: learning about each other.

Techniques in Chemistry: The Centerpiece of a Research-Oriented Curriculum.

ERIC Educational Resources Information Center

Hanks, T. W.; Wright, Laura L.

2002-01-01

Introduces the Techniques in Chemistry I course taught in the Furman University Department of Chemistry which focuses on organic and inorganic chemistry. Uses a problem solving approach and active learning. (Contains 17 references.) (YDS)

Questions, Questioning Techniques, and Effective Teaching.

ERIC Educational Resources Information Center

Wilen, William W., Ed.

This book focuses on questioning techniques and strategies teachers may employ to make the difference between active and passive learning in the classroom. There are nine chapters: (1) Why Questions? (Ambrose A. Clegg, Jr.); (2) Review of Research on Questioning Techniques (Meredith D. Gall and Tom Rhody); (3) The Multidisciplinary World of…

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks.

PubMed

Ponce, Hiram; Martínez-Villaseñor, María de Lourdes; Miralles-Pechuán, Luis

2016-07-05

Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services. There are many examples of health systems improved by human activity recognition. Nevertheless, the human activity recognition classification process is not an easy task. Different types of noise in wearable sensors data frequently hamper the human activity recognition classification process. In order to develop a successful activity recognition system, it is necessary to use stable and robust machine learning techniques capable of dealing with noisy data. In this paper, we presented the artificial hydrocarbon networks (AHN) technique to the human activity recognition community. Our artificial hydrocarbon networks novel approach is suitable for physical activity recognition, noise tolerance of corrupted data sensors and robust in terms of different issues on data sensors. We proved that the AHN classifier is very competitive for physical activity recognition and is very robust in comparison with other well-known machine learning methods.

A comparison of professional-level faculty and student perceptions of active learning: its current use, effectiveness, and barriers.

PubMed

Miller, Cynthia J; Metz, Michael J

2014-09-01

Active learning is an instructional method in which students become engaged participants in the classroom through the use of in-class written exercises, games, problem sets, audience-response systems, debates, class discussions, etc. Despite evidence supporting the effectiveness of active learning strategies, minimal adoption of the technique has occurred in many professional programs. The goal of this study was to compare the perceptions of active learning between students who were exposed to active learning in the classroom (n = 116) and professional-level physiology faculty members (n = 9). Faculty members reported a heavy reliance on lectures and minimal use of educational games and activities, whereas students indicated that they learned best via the activities. A majority of faculty members (89%) had observed active learning in the classroom and predicted favorable effects of the method on student performance and motivation. The main reported barriers by faculty members to the adoption of active learning were a lack of necessary class time, a high comfort level with traditional lectures, and insufficient time to develop materials. Students hypothesized similar obstacles for faculty members but also associated many negative qualities with the traditional lecturers. Despite these barriers, a majority of faculty members (78%) were interested in learning more about the alternative teaching strategy. Both faculty members and students indicated that active learning should occupy portions (29% vs. 40%) of face-to-face class time. Copyright © 2014 The American Physiological Society.

A comparison of professional-level faculty and student perceptions of active learning: its current use, effectiveness, and barriers

PubMed Central

Metz, Michael J.

2014-01-01

Active learning is an instructional method in which students become engaged participants in the classroom through the use of in-class written exercises, games, problem sets, audience-response systems, debates, class discussions, etc. Despite evidence supporting the effectiveness of active learning strategies, minimal adoption of the technique has occurred in many professional programs. The goal of this study was to compare the perceptions of active learning between students who were exposed to active learning in the classroom (n = 116) and professional-level physiology faculty members (n = 9). Faculty members reported a heavy reliance on lectures and minimal use of educational games and activities, whereas students indicated that they learned best via the activities. A majority of faculty members (89%) had observed active learning in the classroom and predicted favorable effects of the method on student performance and motivation. The main reported barriers by faculty members to the adoption of active learning were a lack of necessary class time, a high comfort level with traditional lectures, and insufficient time to develop materials. Students hypothesized similar obstacles for faculty members but also associated many negative qualities with the traditional lecturers. Despite these barriers, a majority of faculty members (78%) were interested in learning more about the alternative teaching strategy. Both faculty members and students indicated that active learning should occupy portions (29% vs. 40%) of face-to-face class time. PMID:25179615

Embodying Sociological Mindfulness: Learning about Social Inequality through the Body

ERIC Educational Resources Information Center

MacNevin, Audrey L.

2004-01-01

This paper reports on a teaching and learning technique that uses the power of everyday body language and proxemics to illustrate forms of social inequality. More significantly, the active learning exercises assist students to feel the fact that the making and maintaining of power relations is an intimate and visceral matter. In keeping with…

Attitudes toward Game Adoption: Preservice Teachers Consider Game-Based Teaching and Learning

ERIC Educational Resources Information Center

Sardone, Nancy B.

2018-01-01

Gaming has become a core activity with children and more teachers are using games for learning than five years ago. Yet, teachers report that they learn about game titles, impact studies, and facilitation techniques through their own initiatives or from other teachers rather than from their teacher education program. This article reports on a…

Open the Door Let's Explore: Neighborhood Field Trips for Young Children.

ERIC Educational Resources Information Center

Redleaf, Rhoda

Designed as a resource for teachers and parents, this guide contains activities to help children from 2 to 8 years old learn from neighborhood walks and field trips. Information is presented on: field trips as an approach to learning, learning processes of children, and techniques to make trips meaningful. Teaching material for each trip includes…

Student Perceptions of Academic Service Learning: Using Mixed Content Analysis to Examine the Effectiveness of the International Baccalaureate Creativity, Action, Service Programme

ERIC Educational Resources Information Center

Hatziconstantis, Christos; Kolympari, Tania

2016-01-01

The International Baccalaureate Diploma Programme for secondary education students requires the successful completion of the Creativity, Action, Service (CAS) component (more recently renamed Creativity, Activity, Service) which is based on the philosophy of experiential learning and Academic Service Learning. In this article, the technique of…

Gamification for Engaging Computer Science Students in Learning Activities: A Case Study

ERIC Educational Resources Information Center

Ibáñez, Maria-Blanca; Di-Serio, Ángela; Delgado-Kloos, Carlos

2014-01-01

Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve students' engagement which could have a positive impact on learning. This study evaluated the learning effectiveness and engagement appeal of a gamified learning…

Using Mediated Learning Experience Parameters To Change Children's Behavior: Techniques for Parents and Childcare Providers.

ERIC Educational Resources Information Center

Falik, Louis H.

This paper describes the conceptual and activity focus of a training program for parents and childcare providers to help children develop their learning potential. The program thereby facilitates children's integration into society and enhancement of further learning propensities needed by them to adapt. The focus of the work is to create…

Database Design Learning: A Project-Based Approach Organized through a Course Management System

ERIC Educational Resources Information Center

Dominguez, Cesar; Jaime, Arturo

2010-01-01

This paper describes an active method for database design learning through practical tasks development by student teams in a face-to-face course. This method integrates project-based learning, and project management techniques and tools. Some scaffolding is provided at the beginning that forms a skeleton that adapts to a great variety of…

Mapping of Primary Instructional Methods and Teaching Techniques for Regularly Scheduled, Formal Teaching Sessions in an Anesthesia Residency Program.

PubMed

Vested Madsen, Matias; Macario, Alex; Yamamoto, Satoshi; Tanaka, Pedro

2016-06-01

In this study, we examined the regularly scheduled, formal teaching sessions in a single anesthesiology residency program to (1) map the most common primary instructional methods, (2) map the use of 10 known teaching techniques, and (3) assess if residents scored sessions that incorporated active learning as higher quality than sessions with little or no verbal interaction between teacher and learner. A modified Delphi process was used to identify useful teaching techniques. A representative sample of each of the formal teaching session types was mapped, and residents anonymously completed a 5-question written survey rating the session. The most common primary instructional methods were computer slides-based classroom lectures (66%), workshops (15%), simulations (5%), and journal club (5%). The number of teaching techniques used per formal teaching session averaged 5.31 (SD, 1.92; median, 5; range, 0-9). Clinical applicability (85%) and attention grabbers (85%) were the 2 most common teaching techniques. Thirty-eight percent of the sessions defined learning objectives, and one-third of sessions engaged in active learning. The overall survey response rate equaled 42%, and passive sessions had a mean score of 8.44 (range, 5-10; median, 9; SD, 1.2) compared with a mean score of 8.63 (range, 5-10; median, 9; SD, 1.1) for active sessions (P = 0.63). Slides-based classroom lectures were the most common instructional method, and faculty used an average of 5 known teaching techniques per formal teaching session. The overall education scores of the sessions as rated by the residents were high.

CNC Programming I.

ERIC Educational Resources Information Center

Casey, Joe

This document contains five units for a course in computer numerical control (CNC) for computer-aided manufacturing. It is intended to familiarize students with the principles and techniques necessary to create proper CNC programs manually. Each unit consists of an introduction, instructional objectives, learning materials, learning activities,…

Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces.

PubMed

Wang, Yiwen; Wang, Fang; Xu, Kai; Zhang, Qiaosheng; Zhang, Shaomin; Zheng, Xiaoxiang

2015-05-01

Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from the environment through interactions to complete the task without desired signals, which is promising for clinical applications. Previous studies exploited Q-learning techniques to discriminate neural states into simple directional actions providing the trial initial timing. However, the movements in BMI applications can be quite complicated, and the action timing explicitly shows the intention when to move. The rich actions and the corresponding neural states form a large state-action space, imposing generalization difficulty on Q-learning. In this paper, we propose to adopt attention-gated reinforcement learning (AGREL) as a new learning scheme for BMIs to adaptively decode high-dimensional neural activities into seven distinct movements (directional moves, holdings and resting) due to the efficient weight-updating. We apply AGREL on neural data recorded from M1 of a monkey to directly predict a seven-action set in a time sequence to reconstruct the trajectory of a center-out task. Compared to Q-learning techniques, AGREL could improve the target acquisition rate to 90.16% in average with faster convergence and more stability to follow neural activity over multiple days, indicating the potential to achieve better online decoding performance for more complicated BMI tasks.

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

ERIC Educational Resources Information Center

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

2016-01-01

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

Cognitive Load Theory: implications for medical education: AMEE Guide No. 86.

PubMed

Young, John Q; Van Merrienboer, Jeroen; Durning, Steve; Ten Cate, Olle

2014-05-01

Cognitive Load Theory (CLT) builds upon established models of human memory that include the subsystems of sensory, working and long-term memory. Working memory (WM) can only process a limited number of information elements at any given time. This constraint creates a "bottleneck" for learning. CLT identifies three types of cognitive load that impact WM: intrinsic load (associated with performing essential aspects of the task), extraneous load (associated with non-essential aspects of the task) and germane load (associated with the deliberate use of cognitive strategies that facilitate learning). When the cognitive load associated with a task exceeds the learner's WM capacity, performance and learning is impaired. To facilitate learning, CLT researchers have developed instructional techniques that decrease extraneous load (e.g. worked examples), titrate intrinsic load to the developmental stage of the learner (e.g. simplify task without decontextualizing) and ensure that unused WM capacity is dedicated to germane load, i.e. cognitive learning strategies. A number of instructional techniques have been empirically tested. As learners' progress, curricula must also attend to the expertise-reversal effect. Instructional techniques that facilitate learning among early learners may not help and may even interfere with learning among more advanced learners. CLT has particular relevance to medical education because many of the professional activities to be learned require the simultaneous integration of multiple and varied sets of knowledge, skills and behaviors at a specific time and place. These activities possess high "element interactivity" and therefore impose a cognitive load that may surpass the WM capacity of the learner. Applications to various medical education settings (classroom, workplace and self-directed learning) are explored.

Active learning of cortical connectivity from two-photon imaging data

PubMed Central

Wang, Ye; Dunson, David; Sapiro, Guillermo; Ringach, Dario

2018-01-01

Understanding how groups of neurons interact within a network is a fundamental question in system neuroscience. Instead of passively observing the ongoing activity of a network, we can typically perturb its activity, either by external sensory stimulation or directly via techniques such as two-photon optogenetics. A natural question is how to use such perturbations to identify the connectivity of the network efficiently. Here we introduce a method to infer sparse connectivity graphs from in-vivo, two-photon imaging of population activity in response to external stimuli. A novel aspect of the work is the introduction of a recommended distribution, incrementally learned from the data, to optimally refine the inferred network. Unlike existing system identification techniques, this “active learning” method automatically focuses its attention on key undiscovered areas of the network, instead of targeting global uncertainty indicators like parameter variance. We show how active learning leads to faster inference while, at the same time, provides confidence intervals for the network parameters. We present simulations on artificial small-world networks to validate the methods and apply the method to real data. Analysis of frequency of motifs recovered show that cortical networks are consistent with a small-world topology model. PMID:29718955

eLearning techniques supporting problem based learning in clinical simulation.

PubMed

Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

2005-08-01

This paper details the results of the first phase of a project using eLearning to support students' learning within a simulated environment. The locus was a purpose built clinical simulation laboratory (CSL) where the School's philosophy of problem based learning (PBL) was challenged through lecturers using traditional teaching methods. a student-centred, problem based approach to the acquisition of clinical skills that used high quality learning objects embedded within web pages, substituting for lecturers providing instruction and demonstration. This encouraged student nurses to explore, analyse and make decisions within the safety of a clinical simulation. Learning was facilitated through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that eLearning techniques can help students acquire clinical skills in the safety of a simulated environment within the context of a problem based learning curriculum.

Identifying Key Features of Effective Active Learning: The Effects of Writing and Peer Discussion

PubMed Central

Pangle, Wiline M.; Wyatt, Kevin H.; Powell, Karli N.; Sherwood, Rachel E.

2014-01-01

We investigated some of the key features of effective active learning by comparing the outcomes of three different methods of implementing active-learning exercises in a majors introductory biology course. Students completed activities in one of three treatments: discussion, writing, and discussion + writing. Treatments were rotated weekly between three sections taught by three different instructors in a full factorial design. The data set was analyzed by generalized linear mixed-effect models with three independent variables: student aptitude, treatment, and instructor, and three dependent (assessment) variables: change in score on pre- and postactivity clicker questions, and coding scores on in-class writing and exam essays. All independent variables had significant effects on student performance for at least one of the dependent variables. Students with higher aptitude scored higher on all assessments. Student scores were higher on exam essay questions when the activity was implemented with a writing component compared with peer discussion only. There was a significant effect of instructor, with instructors showing different degrees of effectiveness with active-learning techniques. We suggest that individual writing should be implemented as part of active learning whenever possible and that instructors may need training and practice to become effective with active learning. PMID:25185230

Incorporating active-learning techniques into the photonics-related teaching in the Erasmus Mundus Master in "Color in Informatics and Media Technology"

NASA Astrophysics Data System (ADS)

Pozo, Antonio M.; Rubiño, Manuel; Hernández-Andrés, Javier; Nieves, Juan L.

2014-07-01

In this work, we present a teaching methodology using active-learning techniques in the course "Devices and Instrumentation" of the Erasmus Mundus Master's Degree in "Color in Informatics and Media Technology" (CIMET). A part of the course "Devices and Instrumentation" of this Master's is dedicated to the study of image sensors and methods to evaluate their image quality. The teaching methodology that we present consists of incorporating practical activities during the traditional lectures. One of the innovative aspects of this teaching methodology is that students apply the concepts and methods studied in class to real devices. For this, students use their own digital cameras, webcams, or cellphone cameras in class. These activities provide students a better understanding of the theoretical subject given in class and encourage the active participation of students.

The Formation of Learners' Motivation to Study Physics in Terms of Sustainable Development of Education in Ukraine

ERIC Educational Resources Information Center

Korsun, Igor

2017-01-01

This study is aimed at creating a general technique for the formation of learners' interest in physics in the context of sustainable development of education. The active means of training and active learning methods are the components of this technique. The sequence of interest formation for physics in the context of sustainable development of…

Using deep learning for content-based medical image retrieval

NASA Astrophysics Data System (ADS)

Sun, Qinpei; Yang, Yuanyuan; Sun, Jianyong; Yang, Zhiming; Zhang, Jianguo

2017-03-01

Content-Based medical image retrieval (CBMIR) is been highly active research area from past few years. The retrieval performance of a CBMIR system crucially depends on the feature representation, which have been extensively studied by researchers for decades. Although a variety of techniques have been proposed, it remains one of the most challenging problems in current CBMIR research, which is mainly due to the well-known "semantic gap" issue that exists between low-level image pixels captured by machines and high-level semantic concepts perceived by human[1]. Recent years have witnessed some important advances of new techniques in machine learning. One important breakthrough technique is known as "deep learning". Unlike conventional machine learning methods that are often using "shallow" architectures, deep learning mimics the human brain that is organized in a deep architecture and processes information through multiple stages of transformation and representation. This means that we do not need to spend enormous energy to extract features manually. In this presentation, we propose a novel framework which uses deep learning to retrieval the medical image to improve the accuracy and speed of a CBIR in integrated RIS/PACS.

Application of Learning Engineering Techniques Thinking Aloud Pair Problem Solving in Learning Mathematics Students Class VII SMPN 15 Padang

NASA Astrophysics Data System (ADS)

Widuri, S. Y. S.; Almash, L.; Zuzano, F.

2018-04-01

The students activity and responsible in studying mathematic is still lack. It gives an effect for the bad result in studying mathematic. There is one of learning technic to increase students activity in the classroom and the result of studying mathematic with applying a learning technic. It is “Thinking Aloud Pair Problem Solving (TAPPS)”. The purpose of this research is to recognize the developing of students activity in mathematic subject during applying that technic “TAPPS” in seven grade at SMPN 15 Padang and compare the students proportion in learning mathematic with TAPPS between learning process without it in seven grade at SMPN 15 Padang. Students activity for indicators 1, 2, 3, 4, 5, 6 at each meeting is likely to increase and students activity for indicator 7 at each meeting is likely to decrease. The finding of this research is χ 2 = 9,42 and the value of p is 0,0005 < p < 0,005. Therefore p < 0,05 has means H 0 was rejected and H 1 was accepted. Thus, it was concluded that the activities and result in studying mathematic increased after applying learning technic the TAPPS.

Moments: The Foxfire Experience.

ERIC Educational Resources Information Center

Wigginton, Eliot

The high school journalism teacher who initiated the Foxfire Project discusses the memorable learning experiences and community studies in which students are involved as they develop and publish the Foxfire magazines. The author describes the project objectives and the successfully implemented teaching techniques and learning activities so that…

Who Said Giraffes Can't Dance?

ERIC Educational Resources Information Center

Lovett, Mary Lu

2002-01-01

Describes an art activity for third-grade students in which they learned about African animals in one class period and spent time in another class period creating a picture of a giraffe. Explains that the students learned about watercolor wash and the wet-on-wet technique. (CMK)

Katimavik Participant's Manual, Book III, Work Skills = Katimavik manuel du participant, cahier III, les techniques de travail.

ERIC Educational Resources Information Center

Crelinsten, Michael, Ed.

Part of the documentation for Katimavik, a nine-month volunteer community service and learning program for 17 to 21-year-old Canadians, the bilingual student manual focuses on the work skills portion of the learning program. The manual includes learning program objectives, trimester guidelines and a checklist for activity participation, optional…

Students' Satisfaction with the Group Work Method and Its Performance Evaluation: A Survey in an Italian University

ERIC Educational Resources Information Center

Zedda, Massimo; Bernardelli, Silvia; Maran, Daniela Acquadro

2017-01-01

Group Work Learning Method is a cooperative learning technique that has positive effects in learning: students' active participation can increase both cognitive and social skills. Our work involved three cohorts of students of different years attending the same course at the University of Torino, Department of Psychology. The contents of the…

Aligning What We Do and What We Measure in Business Schools: Incorporating Active Learning and Effective Media Use in the Assessment of Instruction

ERIC Educational Resources Information Center

Serva, Mark A.; Fuller, Mark A.

2004-01-01

Current methods of evaluating learning and instruction have not kept pace with changes in learning theory, or with the transformed technological infrastructure of the modern business school classroom. Without reliable and valid instructional measurement systems, it is virtually impossible to benchmark new pedagogical techniques, assess the value…

A Mixed-Methods Investigation of Clicker Implementation Styles in STEM.

PubMed

Solomon, Erin D; Repice, Michelle D; Mutambuki, Jacinta M; Leonard, Denise A; Cohen, Cheryl A; Luo, Jia; Frey, Regina F

2018-06-01

Active learning with clickers is a common approach in high-enrollment, lecture-based courses in science, technology, engineering, and mathematics. In this study, we describe the procedures that faculty at one institution used when implementing clicker-based active learning, and how they situated these activities in their class sessions. Using a mixed-methods approach, we categorized faculty into four implementation styles based on quantitative observation data and conducted qualitative interviews to further understand why faculty used these styles. We found that faculty tended to use similar procedures when implementing a clicker activity, but differed on how they situated the clicker-based active learning into their courses. These variations were attributed to different faculty goals for using clicker-based active learning, with some using it to engage students at specific time points throughout their class sessions and others who selected it as the best way to teach a concept from several possible teaching techniques. Future research should continue to investigate and describe how active-learning strategies from literature may differ from what is being implemented.

m-Learning and holography: Compatible techniques?

NASA Astrophysics Data System (ADS)

Calvo, Maria L.

2014-07-01

Since the last decades, cell phones have become increasingly popular and are nowadays ubiquitous. New generations of cell phones are now equipped with text messaging, internet, and camera features. They are now making their way into the classroom. This is creating a new teaching and learning technique, the so called m-Learning (or mobile-Learning). Because of the many benefits that cell phones offer, teachers could easily use them as a teaching and learning tool. However, an additional work from the teachers for introducing their students into the m-Learning in the classroom needs to be defined and developed. As an example, optical techniques, based upon interference and diffraction phenomena, such as holography, appear to be convenient topics for m-Learning. They can be approached with simple examples and experiments within the cell phones performances and classroom accessibility. We will present some results carried out at the Faculty of Physical Sciences in UCM to obtain very simple holographic recordings via cell phones. The activities were carried out inside the course on Optical Coherence and Laser, offered to students in the fourth course of the Grade in Physical Sciences. Some open conclusions and proposals will be presented.

Analyzing Activity Behavior and Movement in a Naturalistic Environment using Smart Home Techniques

PubMed Central

Cook, Diane J.; Schmitter-Edgecombe, Maureen; Dawadi, Prafulla

2015-01-01

One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. In this study we use smart home and wearable sensors to collect data while (n=84) older adults perform complex activities of daily living. We analyze the data using machine learning techniques and reveal that differences between healthy older adults and adults with Parkinson disease not only exist in their activity patterns, but that these differences can be automatically recognized. Our machine learning classifiers reach an accuracy of 0.97 with an AUC value of 0.97 in distinguishing these groups. Our permutation-based testing confirms that the sensor-based differences between these groups are statistically significant. PMID:26259225

Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques.

PubMed

Cook, Diane J; Schmitter-Edgecombe, Maureen; Dawadi, Prafulla

2015-11-01

One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. In this study, we use smart home and wearable sensors to collect data, while ( n = 84) older adults perform complex activities of daily living. We analyze the data using machine learning techniques and reveal that differences between healthy older adults and adults with Parkinson disease not only exist in their activity patterns, but that these differences can be automatically recognized. Our machine learning classifiers reach an accuracy of 0.97 with an area under the ROC curve value of 0.97 in distinguishing these groups. Our permutation-based testing confirms that the sensor-based differences between these groups are statistically significant.

[Effect of 5-HT1A receptors in the hippocampal DG on active avoidance learning in rats].

PubMed

Jiang, Feng-ze; Lv, Jing; Wang, Dan; Jiang, Hai-ying; Li, Ying-shun; Jin, Qing-hua

2015-01-01

To investigate the effects of serotonin (5-HTIA) receptors in the hippocampal dentate gyrus (DG) on active avoidance learning in rats. Totally 36 SD rats were randomly divided into control group, antagonist group and agonist group(n = 12). Active avoidance learning ability of rats was assessed by the shuttle box. The extracellular concentrations of 5-HT in the DG during active avoidance conditioned reflex were measured by microdialysis and high performance liquid chromatography (HPLC) techniques. Then the antagonist (WAY-100635) or agonist (8-OH-DPAT) of the 5-HT1A receptors were microinjected into the DG region, and the active avoidance learning was measured. (1) During the active avoidance learning, the concentration of 5-HT in the hippocampal DG was significantly increased in the extinction but not establishment in the conditioned reflex, which reached 164.90% ± 26.07% (P <0.05) of basal level. (2) The microinjection of WAY-100635 (an antagonist of 5-HT1A receptor) into the DG did not significantly affect the active avoidance learning. (3) The microinjection of 8-OH-DPAT(an agonist of 5-HT1A receptor) into the DG significantly facilitated the establishment process and inhibited the extinction process during active avoidance conditioned reflex. The data suggest that activation of 5-HT1A receptors in hipocampal DG may facilitate active avoidance learning and memory in rats.

Presence Relates to Distinct Outcomes in Two Virtual Environments Employing Different Learning Modalities

PubMed Central

Persky, Susan; Kaphingst, Kimberly A.; McCall, Cade; Lachance, Christina; Beall, Andrew C.; Blascovich, Jim

2009-01-01

Presence in virtual learning environments (VLEs) has been associated with a number of outcome factors related to a user’s ability and motivation to learn. The extant but relatively small body of research suggests that a high level of presence is related to better performance on learning outcomes in VLEs. Different configurations of form and content variables such as those associated with active (self-driven, interactive activities) versus didactic (reading or lecture) learning may, however, influence how presence operates and on what content it operates. We compared the influence of presence between two types of immersive VLEs (i.e., active versus didactic techniques) on comprehension and engagement-related outcomes. The findings revealed that the active VLE promoted greater presence. Although we found no relationship between presence and learning comprehension outcomes for either virtual environment, presence was related to information engagement variables in the didactic immersive VLE but not the active environment. Results demonstrate that presence is not uniformly elicited or effective across immersive VLEs. Educational delivery mode and environment complexity may influence the impact of presence on engagement. PMID:19366319

Presence relates to distinct outcomes in two virtual environments employing different learning modalities.

PubMed

Persky, Susan; Kaphingst, Kimberly A; McCall, Cade; Lachance, Christina; Beall, Andrew C; Blascovich, Jim

2009-06-01

Presence in virtual learning environments (VLEs) has been associated with a number of outcome factors related to a user's ability and motivation to learn. The extant but relatively small body of research suggests that a high level of presence is related to better performance on learning outcomes in VLEs. Different configurations of form and content variables such as those associated with active (self-driven, interactive activities) versus didactic (reading or lecture) learning may, however, influence how presence operates and on what content it operates. We compared the influence of presence between two types of immersive VLEs (i.e., active versus didactic techniques) on comprehension and engagement-related outcomes. The findings revealed that the active VLE promoted greater presence. Although we found no relationship between presence and learning comprehension outcomes for either virtual environment, presence was related to information engagement variables in the didactic immersive VLE but not the active environment. Results demonstrate that presence is not uniformly elicited or effective across immersive VLEs. Educational delivery mode and environment complexity may influence the impact of presence on engagement.

Enhancing learning in geosciences and water engineering via lab activities

NASA Astrophysics Data System (ADS)

Valyrakis, Manousos; Cheng, Ming

2016-04-01

This study focuses on the utilisation of lab based activities to enhance the learning experience of engineering students studying Water Engineering and Geosciences. In particular, the use of modern highly visual and tangible presentation techniques within an appropriate laboratory based space are used to introduce undergraduate students to advanced engineering concepts. A specific lab activity, namely "Flood-City", is presented as a case study to enhance the active engagement rate, improve the learning experience of the students and better achieve the intended learning objectives of the course within a broad context of the engineering and geosciences curriculum. Such activities, have been used over the last few years from the Water Engineering group @ Glasgow, with success for outreach purposes (e.g. Glasgow Science Festival and demos at the Glasgow Science Centre and Kelvingrove museum). The activity involves a specific setup of the demonstration flume in a sand-box configuration, with elements and activities designed so as to gamely the overall learning activity. Social media platforms can also be used effectively to the same goals, particularly in cases were the students already engage in these online media. To assess the effectiveness of this activity a purpose designed questionnaire is offered to the students. Specifically, the questionnaire covers several aspects that may affect student learning, performance and satisfaction, such as students' motivation, factors to effective learning (also assessed by follow-up quizzes), and methods of communication and assessment. The results, analysed to assess the effectiveness of the learning activity as the students perceive it, offer a promising potential for the use of such activities in outreach and learning.

Enterprise Professional Development--Evaluating Learning

ERIC Educational Resources Information Center

Murphy, Gerald A.; Calway, Bruce A.

2010-01-01

Whilst professional development (PD) is an activity required by many regulatory authorities, the value that enterprises obtain from PD is often unknown, particularly when it involves development of knowledge. This paper discusses measurement techniques and processes and provides a review of established evaluation techniques, highlighting…

Active Learning Framework for Non-Intrusive Load Monitoring: Preprint

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

Jin, Xin

2016-05-16

Non-Intrusive Load Monitoring (NILM) is a set of techniques that estimate the electricity usage of individual appliances from power measurements taken at a limited number of locations in a building. One of the key challenges in NILM is having too much data without class labels yet being unable to label the data manually for cost or time constraints. This paper presents an active learning framework that helps existing NILM techniques to overcome this challenge. Active learning is an advanced machine learning method that interactively queries a user for the class label information. Unlike most existing NILM systems that heuristically requestmore » user inputs, the proposed method only needs minimally sufficient information from a user to build a compact and yet highly representative load signature library. Initial results indicate the proposed method can reduce the user inputs by up to 90% while still achieving similar disaggregation performance compared to a heuristic method. Thus, the proposed method can substantially reduce the burden on the user, improve the performance of a NILM system with limited user inputs, and overcome the key market barriers to the wide adoption of NILM technologies.« less

Using Brain Electrical Activity Mapping to Diagnose Learning Disabilities.

ERIC Educational Resources Information Center

Torello, Michael, W.; Duffy, Frank H.

1985-01-01

Cognitive neuroscience assumes that measurement of brain electrical activity should relate to cognition. Brain Electrical Activity Mapping (BEAM), a non-invasive technique, is used to record changes in activity from one brain area to another and is 80 to 90 percent successful in classifying subjects as dyslexic or normal. (MT)

Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays.

PubMed

Hiremath, Shivayogi V; Chen, Weidong; Wang, Wei; Foldes, Stephen; Yang, Ying; Tyler-Kabara, Elizabeth C; Collinger, Jennifer L; Boninger, Michael L

2015-01-01

A brain-computer interface (BCI) system transforms neural activity into control signals for external devices in real time. A BCI user needs to learn to generate specific cortical activity patterns to control external devices effectively. We call this process BCI learning, and it often requires significant effort and time. Therefore, it is important to study this process and develop novel and efficient approaches to accelerate BCI learning. This article reviews major approaches that have been used for BCI learning, including computer-assisted learning, co-adaptive learning, operant conditioning, and sensory feedback. We focus on BCIs based on electrocorticography and intracortical microelectrode arrays for restoring motor function. This article also explores the possibility of brain modulation techniques in promoting BCI learning, such as electrical cortical stimulation, transcranial magnetic stimulation, and optogenetics. Furthermore, as proposed by recent BCI studies, we suggest that BCI learning is in many ways analogous to motor and cognitive skill learning, and therefore skill learning should be a useful metaphor to model BCI learning.

Student-centered and ability training-oriented curriculum reform in teaching Microcontroller Principles and Interface Techniques

NASA Astrophysics Data System (ADS)

Wang, Xiaoping; Cai, Peijun; Liu, Yuling; Wang, Liqiang; Liang, Yiyong

2017-08-01

Courses are an important way of cultivating talents in college education. Advanced training schemes and the course system are implemented through course teaching. Advanced teaching notions and methods also rely on course teaching. Therefore, the quality of course teaching is the fundamental guarantor for grooming talent. The teachers of the course "Microcontroller Principles and Interface Techniques" in the Optical Science and Engineering College of Zhejiang University insist on course teaching becoming student centered and ability-training-oriented. They pay attention to students'all-round development in terms of learning ability, practical ability, innovation ability, and exploring spirit. They actively carried out course reforms in four aspects, namely teaching, learning, evaluation, and experimentation. This paper mainly introduced these reforms. First, the teaching method was reformed by introducing case analysis and the notion of a flipped classroom to shift the course focus from the teacher to the students. Second, the learning method was reformed through the use of techniques such as peer learning and project design to promote students' sense of enquiry and learning initiative. Third, the evaluation method was reformed through the use of process assessment and diversity evaluation to encourage students to develop logical thinking and a down-to-earth manner. Fourth, the experimentation method was reformed by introducing hierarchical content, process management, and diversification of examination to change students'learning attitude from "dependence, passivity, and imitation" to "independence, active involvement, and creation."In general, the teaching method reform promoted reforms in learning, evaluation, and experimentation methods and further improved the style of study. These reforms improved teachers' teaching abilities and enabled course teaching to transform from being teacher centered to student centered. Years of exploration and practice results have shown that such reforms not only effectively inspire students to learn, explore, and practice actively, but also cultivate their creative spirit and courage to face challenges, providing a good platform for theirself-learning and personal growth. The course reforms discussed here have been highly recommended for their reference value.

Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval

ERIC Educational Resources Information Center

Khribi, Mohamed Koutheair; Jemni, Mohamed; Nasraoui, Olfa

2009-01-01

In this paper, we describe an automatic personalization approach aiming to provide online automatic recommendations for active learners without requiring their explicit feedback. Recommended learning resources are computed based on the current learner's recent navigation history, as well as exploiting similarities and dissimilarities among…

Whose Classroom Is It, Anyway? Improvisation as a Teaching Tool

ERIC Educational Resources Information Center

Berk, Ronald A.; Trieber, Rosalind H.

2009-01-01

Improvisational techniques derived from the experiences in improvisational theatre can be adapted for the college classroom to leverage the characteristics of the Net Generation, their multiple intelligences and learning styles, and the variety of collaborative learning activities already in place in a learner-centered environment. When…

Investigating the Effectiveness of Group Work in Mathematics

ERIC Educational Resources Information Center

Sofroniou, Anastasia; Poutos, Konstantinos

2016-01-01

Group work permits students to develop a range of critical thinking, analytical and communication skills; effective team work; appreciation and respect for other views, techniques and problem-solving methods, all of which promote active learning and enhance student learning. This paper presents an evaluation of employing the didactic and…

A Primer on the Financial Management of Experiential Learning Assessment Programs.

ERIC Educational Resources Information Center

MacTaggart, Terrence

1983-01-01

The success and failure of experiential learning assessment programs rests not only on their academic quality, but also on their financial management. Types of cost and the meaning of cost-effectiveness are discussed. Break-even analysis, cost-reduction activities, and revenue-enhancement techniques are described. (Author/MLW)

Drama Techniques in Language Learning.

ERIC Educational Resources Information Center

Maley, Alan; Duff, Alan

The drama activities in this teaching guide are designed to develop second language learning skills by constructing situations that require the student to concentrate on the meaning and emotional content of language rather than on its structure. In an attempt to involve the whole personality of the learner in the acquisition of language, the…

A Low-Tech, Hands-On Approach To Teaching Sorting Algorithms to Working Students.

ERIC Educational Resources Information Center

Dios, R.; Geller, J.

1998-01-01

Focuses on identifying the educational effects of "activity oriented" instructional techniques. Examines which instructional methods produce enhanced learning and comprehension. Discusses the problem of learning "sorting algorithms," a major topic in every Computer Science curriculum. Presents a low-tech, hands-on teaching method for sorting…

Using Popular Film as a Teaching Resource in Accounting Classes

ERIC Educational Resources Information Center

Bay, Darlene; Felton, Sandra

2012-01-01

This paper describes a pedagogical experiment that used feature films in a senior accounting class to stimulate development of student competencies and raise ethical issues. Rather than being content driven, this active learning technique focuses on skills development, while engaging the students' emotions in the learning process. Encompassing…

Autonomous Learning--The Danes Vote Yes!

ERIC Educational Resources Information Center

Chambers, Gary; Sugden, David

1994-01-01

Examines techniques used by 2 Danish teachers of English as a Second Language with 11- and 12-year-olds that illustrate the autonomous learning approach to second language instruction. The role of the teacher and learners, class activities, and student journals in Danish second language classrooms are discussed. (six references) (MDM)

A Constructivist Application for Online Learning in Music

ERIC Educational Resources Information Center

Keast, Dan A.

2009-01-01

The purpose of this article is to extend the published knowledge and practices of distance learning in music to include constructivism. Dan Keast describes his techniques for the implementation of constructivism to an online two-course series of Music History. The courses' structure, activities, assessments, and other key functionality components…

A Comparison of Online and Traditional Instructional Delivery Methods on Learning in College Macroeconomics Courses

ERIC Educational Resources Information Center

Rivas, Rodolfo R.

2009-01-01

This exploratory study centered its investigation in the participants' responses provided in 2 different instructional teaching delivery methods (traditional and online) that utilized active-like teaching learning techniques (case studies, group projects, threaded discussions, class discussions, office hours, lectures, computerized assignments,…

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations

NASA Technical Reports Server (NTRS)

Jani, Yashvant

1992-01-01

As part of the Research Institute for Computing and Information Systems (RICIS) activity, the reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Max satellite simulation. This activity is carried out in the software technology laboratory utilizing the Orbital Operations Simulator (OOS). This interim report provides the status of the project and outlines the future plans.

The Development of Inquiry Learning Materials to Complete Content Life System Organization in Junior High School Students

NASA Astrophysics Data System (ADS)

Mayasari, F.; Raharjo; Supardi, Z. A. I.

2018-01-01

This research aims to develop the material eligibility to complete the inquiry learning of student in the material organization system of junior high school students. Learning materials developed include syllabi, lesson plans, students’ textbook, worksheets, and learning achievement test. This research is the developmental research which employ Dick and Carey model to develop learning material. The experiment was done in Junior High School 4 Lamongan regency using One Group Pretest-Posttest Design. The data collection used validation, observation, achievement test, questionnaire administration, and documentation. Data analysis techniques used quantitative and qualitative descriptive.The results showed that the developed learning material was valid and can be used. Learning activity accomplished with good category, where student activities were observed. The aspects of attitudes were observed during the learning process are honest, responsible, and confident. Student learning achievement gained an average of 81, 85 in complete category, with N-Gain 0, 75 for a high category. The activities and student response to learning was very well categorized. Based on the results, this researcher concluded that the device classified as feasible of inquiry-based learning (valid, practical, and effective) system used on the material organization of junior high school students.

Predicting activity approach based on new atoms similarity kernel function.

PubMed

Abu El-Atta, Ahmed H; Moussa, M I; Hassanien, Aboul Ella

2015-07-01

Drug design is a high cost and long term process. To reduce time and costs for drugs discoveries, new techniques are needed. Chemoinformatics field implements the informational techniques and computer science like machine learning and graph theory to discover the chemical compounds properties, such as toxicity or biological activity. This is done through analyzing their molecular structure (molecular graph). To overcome this problem there is an increasing need for algorithms to analyze and classify graph data to predict the activity of molecules. Kernels methods provide a powerful framework which combines machine learning with graph theory techniques. These kernels methods have led to impressive performance results in many several chemoinformatics problems like biological activity prediction. This paper presents a new approach based on kernel functions to solve activity prediction problem for chemical compounds. First we encode all atoms depending on their neighbors then we use these codes to find a relationship between those atoms each other. Then we use relation between different atoms to find similarity between chemical compounds. The proposed approach was compared with many other classification methods and the results show competitive accuracy with these methods. Copyright © 2015 Elsevier Inc. All rights reserved.

Active Learning in PhysicsTechnology and Research-based Techniques Emphasizing Interactive Lecture Demonstrations

NASA Astrophysics Data System (ADS)

Thornton, Ronald

2010-10-01

Physics education research has shown that learning environments that engage students and allow them to take an active part in their learning can lead to large conceptual gains compared to traditional instruction. Examples of successful curricula and methods include Peer Instruction, Just in Time Teaching, RealTime Physics, Workshop Physics, Scale-Up, and Interactive Lecture Demonstrations (ILDs). An active learning environment is often difficult to achieve in lecture sessions. This presentation will demonstrate the use of sequences of Interactive Lecture Demonstrations (ILDs) that use real experiments often involving real-time data collection and display combined with student interaction to create an active learning environment in large or small lecture classes. Interactive lecture demonstrations will be done in the area of mechanics using real-time motion probes and the Visualizer. A video tape of students involved in interactive lecture demonstrations will be shown. The results of a number of research studies at various institutions (including international) to measure the effectiveness of ILDs and guided inquiry conceptual laboratories will be presented.

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

PubMed

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

2018-01-01

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

Aligning Goals, Assessments, and Activities: An Approach to Teaching PCR and Gel Electrophoresis

PubMed Central

Robertson, Amber L.; Batzli, Janet; Harris, Michelle; Miller, Sarah

2008-01-01

Polymerase chain reaction (PCR) and gel electrophoresis have become common techniques used in undergraduate molecular and cell biology labs. Although students enjoy learning these techniques, they often cannot fully comprehend and analyze the outcomes of their experiments because of a disconnect between concepts taught in lecture and experiments done in lab. Here we report the development and implementation of novel exercises that integrate the biological concepts of DNA structure and replication with the techniques of PCR and gel electrophoresis. Learning goals were defined based on concepts taught throughout the cell biology lab course and learning objectives specific to the PCR and gel electrophoresis lab. Exercises developed to promote critical thinking and target the underlying concepts of PCR, primer design, gel analysis, and troubleshooting were incorporated into an existing lab unit based on the detection of genetically modified organisms. Evaluative assessments for each exercise were aligned with the learning goals and used to measure student learning achievements. Our analysis found that the exercises were effective in enhancing student understanding of these concepts as shown by student performance across all learning goals. The new materials were particularly helpful in acquiring relevant knowledge, fostering critical-thinking skills, and uncovering prevalent misconceptions. PMID:18316813

Introducing Social Stratification and Inequality: An Active Learning Technique.

ERIC Educational Resources Information Center

McCammon, Lucy

1999-01-01

Summarizes literature on techniques for teaching social stratification. Describes the three parts of an exercise that enables students to understand economic and political inequality: students are given a family scenario, create household budgets, and finally rework the national budget with their family scenario groups. Discusses student…

Simultaneous anatomical sketching as learning by doing method of teaching human anatomy.

PubMed

Noorafshan, Ali; Hoseini, Leila; Amini, Mitra; Dehghani, Mohammad-Reza; Kojuri, Javad; Bazrafkan, Leila

2014-01-01

Learning by lecture is a passive experience. Many innovative techniques have been presented to stimulate students to assume a more active attitude toward learning. In this study, simultaneous sketch drawing, as an interactive learning technique was applied to teach anatomy to the medical students. We reconstructed a fun interactive model of teaching anatomy as simultaneous anatomic sketching. To test the model's instruction effectiveness, we conducted a quasi- experimental study and then the students were asked to write their learning experiences in their portfolio, also their view was evaluated by a questionnaire. The results of portfolio evaluation revealed that students believed that this method leads to deep learning and understanding anatomical subjects better. Evaluation of the students' views on this teaching approach was showed that, more than 80% of the students were agreed or completely agreed with this statement that leaning anatomy concepts are easier and the class is less boring with this method. More than 60% of the students were agreed or completely agreed to sketch anatomical figures with professor simultaneously. They also found the sketching make anatomy more attractive and it reduced the time for learning anatomy. These number of students were agree or completely agree that the method help them learning anatomical concept in anatomy laboratory. More than 80% of the students found the simultaneous sketching is a good method for learning anatomy overall. Sketch drawing, as an interactive learning technique, is an attractive for students to learn anatomy.

Simultaneous anatomical sketching as learning by doing method of teaching human anatomy

PubMed Central

Noorafshan, Ali; Hoseini, Leila; Amini, Mitra; Dehghani, Mohammad-Reza; Kojuri, Javad; Bazrafkan, Leila

2014-01-01

Objective: Learning by lecture is a passive experience. Many innovative techniques have been presented to stimulate students to assume a more active attitude toward learning. In this study, simultaneous sketch drawing, as an interactive learning technique was applied to teach anatomy to the medical students. Materials and Methods: We reconstructed a fun interactive model of teaching anatomy as simultaneous anatomic sketching. To test the model's instruction effectiveness, we conducted a quasi- experimental study and then the students were asked to write their learning experiences in their portfolio, also their view was evaluated by a questionnaire. Results: The results of portfolio evaluation revealed that students believed that this method leads to deep learning and understanding anatomical subjects better. Evaluation of the students’ views on this teaching approach was showed that, more than 80% of the students were agreed or completely agreed with this statement that leaning anatomy concepts are easier and the class is less boring with this method. More than 60% of the students were agreed or completely agreed to sketch anatomical figures with professor simultaneously. They also found the sketching make anatomy more attractive and it reduced the time for learning anatomy. These number of students were agree or completely agree that the method help them learning anatomical concept in anatomy laboratory. More than 80% of the students found the simultaneous sketching is a good method for learning anatomy overall. Conclusion: Sketch drawing, as an interactive learning technique, is an attractive for students to learn anatomy. PMID:25013843

Learning Design Implementation for Distance e-Learning: Blending Rapid e-Learning Techniques with Activity-Based Pedagogies to Design and Implement a Socio-Constructivist Environment

ERIC Educational Resources Information Center

Santally, Mohammad Issack; Rajabalee, Yousra; Cooshna-Naik, Dorothy

2012-01-01

This paper discusses how modern technologies are changing the teacher-student-content relationships from the conception to the delivery of so-called "distance" education courses. The concept of Distance Education has greatly evolved in the digital era of 21st Century. With the widespread use and access to the Internet, exponential growth…

Establishing the SECME model in the District of Columbia. Quarterly report, 1 January 1994--31 March 1994

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

Vikers, R.G.

1994-05-01

During this quarter, many program activities were held to help SECME teachers and counselors implement, improve and strengthen SECME school programs in the District of Columbia. Teachers were actively engaged in enhanced instructional techniques, ideas, processes and resources to help them enrich their students` learning experience. Students are busily participating in hands-on instructional activities and preparing for the SECME competition where they are learning to excel in a competitive environment designed to help them make the most of their school experience.

Collaborative learning in radiologic science education.

PubMed

Yates, Jennifer L

2006-01-01

Radiologic science is a complex health profession, requiring the competent use of technology as well as the ability to function as part of a team, think critically, exercise independent judgment, solve problems creatively and communicate effectively. This article presents a review of literature in support of the relevance of collaborative learning to radiologic science education. In addition, strategies for effective design, facilitation and authentic assessment of activities are provided for educators wishing to incorporate collaborative techniques into their program curriculum. The connection between the benefits of collaborative learning and necessary workplace skills, particularly in the areas of critical thinking, creative problem solving and communication skills, suggests that collaborative learning techniques may be particularly useful in the education of future radiologic technologists. This article summarizes research identifying the benefits of collaborative learning for adult education and identifying the link between these benefits and the necessary characteristics of medical imaging technologists.

Improving semi-automated segmentation by integrating learning with active sampling

NASA Astrophysics Data System (ADS)

Huo, Jing; Okada, Kazunori; Brown, Matthew

2012-02-01

Interactive segmentation algorithms such as GrowCut usually require quite a few user interactions to perform well, and have poor repeatability. In this study, we developed a novel technique to boost the performance of the interactive segmentation method GrowCut involving: 1) a novel "focused sampling" approach for supervised learning, as opposed to conventional random sampling; 2) boosting GrowCut using the machine learned results. We applied the proposed technique to the glioblastoma multiforme (GBM) brain tumor segmentation, and evaluated on a dataset of ten cases from a multiple center pharmaceutical drug trial. The results showed that the proposed system has the potential to reduce user interaction while maintaining similar segmentation accuracy.

Practical Team-Based Learning from Planning to Implementation

PubMed Central

Bell, Edward; Eng, Marty; Fuentes, David G.; Helms, Kristen L.; Maki, Erik D.; Vyas, Deepti

2015-01-01

Team-based learning (TBL) helps instructors develop an active teaching approach for the classroom through group work. The TBL infrastructure engages students in the learning process through the Readiness Assessment Process, problem-solving through team discussions, and peer feedback to ensure accountability. This manuscript describes the benefits and barriers of TBL, and the tools necessary for developing, implementing, and critically evaluating the technique within coursework in a user-friendly method. Specifically, the manuscript describes the processes underpinning effective TBL development, preparation, implementation, assessment, and evaluation, as well as practical techniques and advice from authors’ classroom experiences. The paper also highlights published articles in the area of TBL in education, with a focus on pharmacy education. PMID:26889061

Is Knowledge Random? Introducing Sampling and Bias through Outdoor Inquiry

ERIC Educational Resources Information Center

Stier, Sam

2010-01-01

Sampling, very generally, is the process of learning about something by selecting and assessing representative parts of that population or object. In the inquiry activity described here, students learned about sampling techniques as they estimated the number of trees greater than 12 cm dbh (diameter at breast height) in a wooded, discrete area…

Using Low-Tech Interactions in the Chemistry Classroom to Engage Students in Active Learning

ERIC Educational Resources Information Center

Shaver, Michael P.

2010-01-01

Two complementary techniques to gauge student understanding and inspire interactive learning in the chemistry classroom are presented. Specifically, this article explores the use of student responses with their thumbs as an alternative to electronic-response systems and complementing these experiences with longer, task-based questions in an…

Students' Evaluations of a Business Simulation Game as a Learning Experience.

ERIC Educational Resources Information Center

Edwards, Keith J.

This report investigates student evaluations of a business simulation game as a learning experience in terms of specific claims which have been made for this kind of teaching technique. Ninety-nine junior college students in introductory business courses answered a questionnaire after playing the fame as an ongoing, semester-long activity. The…

Using Robotics to Improve Retention and Increase Comprehension in Introductory Programming Courses

ERIC Educational Resources Information Center

Pullan, Marie

2013-01-01

Several college majors, outside of computer science, require students to learn computer programming. Many students have difficulty getting through the programming sequence and ultimately change majors or drop out of college. To deal with this problem, active learning techniques were developed and implemented in a freshman programming logic and…

Connecting Students to Content: Student-Generated Questions

ERIC Educational Resources Information Center

Davis, Thomas A.

2013-01-01

Students learn best by being actively engaged in the learning process. This essay describes a teaching technique where students generate their own questions about a course topic. This occurs at the beginning of each new section of a course. The instructor works with the class to answer the students' own questions throughout that section of…

Innovative Techniques for Large-Group Instruction. An NSTA Press Journals Collection.

ERIC Educational Resources Information Center

Cusick, Judy, Ed.

This document presents instructional strategies for college faculty on how to stimulate active learning with groups of more than 50 students. Contents include: (1) "How Do College Students Best Learn Science: An Assessment of Popular Teaching Styles and Their Effectiveness" (William H. Leonard); (2) "Are We Cultivating 'Couch Potatoes' in Our…

An EUD Approach to the Design of Educational Games

ERIC Educational Resources Information Center

Ardito, Carmelo; Lanzilotti, Rosa

2011-01-01

Distance education has experienced profound changes due to the introduction of new technologies, especially mobile devices of different types. It is necessary to define new learning techniques which are able to capture students' attention and to engage them in their learning activities, reducing problems like distraction generated by the use of…

An Inquiry-Based Exercise for Demonstrating Prey Preference in Snakes

ERIC Educational Resources Information Center

Place, Aaron J.; Abramson, Charles I.

2006-01-01

The recent promotion of inquiry-based learning techniques (Uno, 1990) is well suited to the use of animals in the classroom. Working with living organisms directly engages students and stimulates them to actively participate in the learning process. Students develop a greater appreciation for living things, the natural world, and their impact on…

Constructing Concept Maps to Encourage Meaningful Learning in Science Classroom

ERIC Educational Resources Information Center

Akcay, Hakan

2017-01-01

The purpose of this activity is to demonstrate science teaching and assessing what is learned via using concept maps. Concept mapping is a technique for visually representing the structure of information. Concept mapping allows students to understand the relationships between concepts of science by creating a visual map of the connections. Concept…

Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments

NASA Astrophysics Data System (ADS)

Badura, Aleksandra; Clopath, Claudia; Schonewille, Martijn; de Zeeuw, Chris I.

2016-11-01

Translating neuronal activity to measurable behavioral changes has been a long-standing goal of systems neuroscience. Recently, we have developed a model of phase-reversal learning of the vestibulo-ocular reflex, a well-established, cerebellar-dependent task. The model, comprising both the cerebellar cortex and vestibular nuclei, reproduces behavioral data and accounts for the changes in neural activity during learning in wild type mice. Here, we used our model to predict Purkinje cell spiking as well as behavior before and after learning of five different lines of mutant mice with distinct cell-specific alterations of the cerebellar cortical circuitry. We tested these predictions by obtaining electrophysiological data depicting changes in neuronal spiking. We show that our data is largely consistent with the model predictions for simple spike modulation of Purkinje cells and concomitant behavioral learning in four of the mutants. In addition, our model accurately predicts a shift in simple spike activity in a mutant mouse with a brainstem specific mutation. This combination of electrophysiological and computational techniques opens a possibility of predicting behavioral impairments from neural activity.

Modeled changes of cerebellar activity in mutant mice are predictive of their learning impairments

PubMed Central

Badura, Aleksandra; Clopath, Claudia; Schonewille, Martijn; De Zeeuw, Chris I.

2016-01-01

Translating neuronal activity to measurable behavioral changes has been a long-standing goal of systems neuroscience. Recently, we have developed a model of phase-reversal learning of the vestibulo-ocular reflex, a well-established, cerebellar-dependent task. The model, comprising both the cerebellar cortex and vestibular nuclei, reproduces behavioral data and accounts for the changes in neural activity during learning in wild type mice. Here, we used our model to predict Purkinje cell spiking as well as behavior before and after learning of five different lines of mutant mice with distinct cell-specific alterations of the cerebellar cortical circuitry. We tested these predictions by obtaining electrophysiological data depicting changes in neuronal spiking. We show that our data is largely consistent with the model predictions for simple spike modulation of Purkinje cells and concomitant behavioral learning in four of the mutants. In addition, our model accurately predicts a shift in simple spike activity in a mutant mouse with a brainstem specific mutation. This combination of electrophysiological and computational techniques opens a possibility of predicting behavioral impairments from neural activity. PMID:27805050

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation.

PubMed

Caravaca, Juan; Soria-Olivas, Emilio; Bataller, Manuel; Serrano, Antonio J; Such-Miquel, Luis; Vila-Francés, Joan; Guerrero, Juan F

2014-02-01

This work presents the application of machine learning techniques to analyse the influence of physical exercise in the physiological properties of the heart, during ventricular fibrillation. To this end, different kinds of classifiers (linear and neural models) are used to classify between trained and sedentary rabbit hearts. The use of those classifiers in combination with a wrapper feature selection algorithm allows to extract knowledge about the most relevant features in the problem. The obtained results show that neural models outperform linear classifiers (better performance indices and a better dimensionality reduction). The most relevant features to describe the benefits of physical exercise are those related to myocardial heterogeneity, mean activation rate and activation complexity. © 2013 Published by Elsevier Ltd.

Active Learning Techniques Applied to an Interdisciplinary Mineral Resources Course.

NASA Astrophysics Data System (ADS)

Aird, H. M.

2015-12-01

An interdisciplinary active learning course was introduced at the University of Puget Sound entitled 'Mineral Resources and the Environment'. Various formative assessment and active learning techniques that have been effective in other courses were adapted and implemented to improve student learning, increase retention and broaden knowledge and understanding of course material. This was an elective course targeted towards upper-level undergraduate geology and environmental majors. The course provided an introduction to the mineral resources industry, discussing geological, environmental, societal and economic aspects, legislation and the processes involved in exploration, extraction, processing, reclamation/remediation and recycling of products. Lectures and associated weekly labs were linked in subject matter; relevant readings from the recent scientific literature were assigned and discussed in the second lecture of the week. Peer-based learning was facilitated through weekly reading assignments with peer-led discussions and through group research projects, in addition to in-class exercises such as debates. Writing and research skills were developed through student groups designing, carrying out and reporting on their own semester-long research projects around the lasting effects of the historical Ruston Smelter on the biology and water systems of Tacoma. The writing of their mini grant proposals and final project reports was carried out in stages to allow for feedback before the deadline. Speakers from industry were invited to share their specialist knowledge as guest lecturers, and students were encouraged to interact with them, with a view to employment opportunities. Formative assessment techniques included jigsaw exercises, gallery walks, placemat surveys, think pair share and take-home point summaries. Summative assessment included discussion leadership, exams, homeworks, group projects, in-class exercises, field trips, and pre-discussion reading exercises.An interdisciplinary active learning course was introduced at the University of Puget Sound entitled 'Mineral Resources and the Environment'. Various formative assessment and active learning techniques that have been effective in other courses were adapted and implemented to improve student learning, increase retention and broaden knowledge and understanding of course material. This was an elective course targeted towards upper-level undergraduate geology and environmental majors. The course provided an introduction to the mineral resources industry, discussing geological, environmental, societal and economic aspects, legislation and the processes involved in exploration, extraction, processing, reclamation/remediation and recycling of products. Lectures and associated weekly labs were linked in subject matter; relevant readings from the recent scientific literature were assigned and discussed in the second lecture of the week. Peer-based learning was facilitated through weekly reading assignments with peer-led discussions and through group research projects, in addition to in-class exercises such as debates. Writing and research skills were developed through student groups designing, carrying out and reporting on their own semester-long research projects around the lasting effects of the historical Ruston Smelter on the biology and water systems of Tacoma. The writing of their mini grant proposals and final project reports was carried out in stages to allow for feedback before the deadline. Speakers from industry were invited to share their specialist knowledge as guest lecturers, and students were encouraged to interact with them, with a view to employment opportunities. Formative assessment techniques included jigsaw exercises, gallery walks, placemat surveys, think pair share and take-home point summaries. Summative assessment included discussion leadership, exams, homeworks, group projects, in-class exercises, field trips, and pre-discussion reading exercises.

Development of active learning modules in pharmacology for small group teaching.

PubMed

Tripathi, Raakhi K; Sarkate, Pankaj V; Jalgaonkar, Sharmila V; Rege, Nirmala N

2015-01-01

Current teaching in pharmacology in undergraduate medical curriculum in India is primarily drug centered and stresses imparting factual knowledge rather than on pharmacotherapeutic skills. These skills would be better developed through active learning by the students. Hence modules that will encourage active learning were developed and compared with traditional methods within the Seth GS Medical College, Mumbai. After Institutional Review Board approval, 90 second year undergraduate medical students who consented were randomized into six sub-groups, each with 15 students. Pre-test was administered. The three sub-groups were taught a topic using active learning modules (active learning groups), which included problems on case scenarios, critical appraisal of prescriptions and drug identification. The remaining three sub-groups were taught the same topic in a conventional tutorial mode (tutorial learning groups). There was crossover for the second topic. Performance was assessed using post-test. Questionnaires with Likert-scaled items were used to assess feedback on teaching technique, student interaction and group dynamics. The active and tutorial learning groups differed significantly in their post-test scores (11.3 ± 1.9 and 15.9 ± 2.7, respectively, P < 0.05). In students' feedback, 69/90 students had perceived the active learning session as interactive (vs. 37/90 students in tutorial group) and enhanced their understanding vs. 56/90 in tutorial group), aroused intellectual curiosity (47/90 students of active learning group vs. 30/90 in tutorial group) and provoked self-learning (41/90 active learning group vs. 14/90 in tutorial group). Sixty-four students in the active learning group felt that questioning each other helped in understanding the topic, which was the experience of 25/90 students in tutorial group. Nevertheless, students (55/90) preferred tutorial mode of learning to help them score better in their examinations. In this study, students preferred an active learning environment, though to pass examinations, they preferred the tutorial mode of teaching. Further efforts are required to explore the effects on learning of introducing similar modules for other topics.

Testing Water for Bacterial Pollution.

ERIC Educational Resources Information Center

Dillner, Harry

This autoinstructional lesson deals with the study of water pollution control. It is a learning activity directed toward high school students of biology and/or ecology. A general knowledge of microbiology techniques is regarded as a prerequisite for the lesson. Behavioral objectives are given. Emphasis is placed on use of techniques and materials…

Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

PubMed

Fong, Allan; Howe, Jessica L; Adams, Katharine T; Ratwani, Raj M

2017-01-18

The widespread adoption of health information technology (HIT) has led to new patient safety hazards that are often difficult to identify. Patient safety event reports, which are self-reported descriptions of safety hazards, provide one view of potential HIT-related safety events. However, identifying HIT-related reports can be challenging as they are often categorized under other more predominate clinical categories. This challenge of identifying HIT-related reports is exacerbated by the increasing number and complexity of reports which pose challenges to human annotators that must manually review reports. In this paper, we apply active learning techniques to support classification of patient safety event reports as HIT-related. We evaluated different strategies and demonstrated a 30% increase in average precision of a confirmatory sampling strategy over a baseline no active learning approach after 10 learning iterations.

[Feasibility of implementing a learning based problem solving and peer evaluation approach among medical students in Mexico].

PubMed

Amato, Dante; de Jesús Novales-Castro, Xavier

2009-01-01

Assess the degree to which medical students accept and consider useful the techniques of problem based learning (PBL) and evaluation among peers. Analyze the association between the number of PBL clinical cases reviewed and the students' perception about their own learning in a basic course. A questionnaire was administered to 334 students enrolled in the third semester of medical school (Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México). Questions included acceptability of PBL, peer evaluation, and their perception about the usefulness of these techniques after having used them during the school year. We used a Likert scale to measure opinions on the degree of usefulness of the PBL, perception of their own learning, and the acceptance of the notion that evaluation activities evaluation among peers promote justice and favor the student's character formation. We measured the association of these variables with the number of clinical cases studied using Spearman's rank correlation coefficient. Most of the students considered that PBL method is useful (82%) and that evaluation activities among peers promote justice and character formation (70%). Students who reviewed more PBL cases considered the PBL activities more useful (rho = 0.489, p < 0.0001), and perceived that they achieved a better learning experience (rho = 0.200, p < 0.0001). Results show a fair acceptance by the students of the PBL method and activities of peer evaluation. The number of clinical cases reviewed during the course correlated with considering the PBL to be a useful method and perceiving a better learning experience. Our results support the inclusion of PBL and peer evaluation in the medical school curricula.

Leveraging Experiential Learning Techniques for Transfer

ERIC Educational Resources Information Center

Furman, Nate; Sibthorp, Jim

2013-01-01

Experiential learning techniques can be helpful in fostering learning transfer. Techniques such as project-based learning, reflective learning, and cooperative learning provide authentic platforms for developing rich learning experiences. In contrast to more didactic forms of instruction, experiential learning techniques foster a depth of learning…

Active Learning to Understand Infectious Disease Models and Improve Policy Making

PubMed Central

Vladislavleva, Ekaterina; Broeckhove, Jan; Beutels, Philippe; Hens, Niel

2014-01-01

Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding. We present an active learning approach based on machine learning techniques as iterative surrogate modeling and model-guided experimentation to systematically analyze both common and edge manifestations of complex model runs. Symbolic regression is used for nonlinear response surface modeling with automatic feature selection. First, we illustrate our approach using an individual-based model for influenza vaccination. After optimizing the parameter space, we observe an inverse relationship between vaccination coverage and cumulative attack rate reinforced by herd immunity. Second, we demonstrate the use of surrogate modeling techniques on input-response data from a deterministic dynamic model, which was designed to explore the cost-effectiveness of varicella-zoster virus vaccination. We use symbolic regression to handle high dimensionality and correlated inputs and to identify the most influential variables. Provided insight is used to focus research, reduce dimensionality and decrease decision uncertainty. We conclude that active learning is needed to fully understand complex systems behavior. Surrogate models can be readily explored at no computational expense, and can also be used as emulator to improve rapid policy making in various settings. PMID:24743387

Active learning to understand infectious disease models and improve policy making.

PubMed

Willem, Lander; Stijven, Sean; Vladislavleva, Ekaterina; Broeckhove, Jan; Beutels, Philippe; Hens, Niel

2014-04-01

Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding. We present an active learning approach based on machine learning techniques as iterative surrogate modeling and model-guided experimentation to systematically analyze both common and edge manifestations of complex model runs. Symbolic regression is used for nonlinear response surface modeling with automatic feature selection. First, we illustrate our approach using an individual-based model for influenza vaccination. After optimizing the parameter space, we observe an inverse relationship between vaccination coverage and cumulative attack rate reinforced by herd immunity. Second, we demonstrate the use of surrogate modeling techniques on input-response data from a deterministic dynamic model, which was designed to explore the cost-effectiveness of varicella-zoster virus vaccination. We use symbolic regression to handle high dimensionality and correlated inputs and to identify the most influential variables. Provided insight is used to focus research, reduce dimensionality and decrease decision uncertainty. We conclude that active learning is needed to fully understand complex systems behavior. Surrogate models can be readily explored at no computational expense, and can also be used as emulator to improve rapid policy making in various settings.

Conceptual and operational understanding of learning for sustainability: a case study of the beef industry in north-eastern Australia.

PubMed

Lankester, Ally J

2013-04-15

Extensive attention has been given to understanding learning processes that foster sustainability. Despite this focus there is still limited knowledge of learning processes that create changes in perspectives and practices. This paper aims to increase understanding of learning processes in the context of sustainability and refers to the beef industry in north-eastern Australia. A framework based on adult learning theories was developed and used to analyse the what, why and how of beef producers' learning to improve land condition. Twenty-eight producers were interviewed face-to-face and another 91 participated in a telephone survey. Most beef producers were motivated to learn due to perceived problems with existing practices and described mainly learning new skills and techniques to improve production. Beef producers main learning sources were their own experiences, observing others' practices and sharing experiences with peers and family members. Results showed that organised collective learning, adversity and active experimentation with natural resource management skills and techniques can facilitate critical reflection of practices, questioning of the self, others and cultural norms and an enhanced sense of environmental responsibility. Copyright © 2013 Elsevier Ltd. All rights reserved.

Learning from truth: youth participation in field marketing techniques to counter tobacco advertising.

PubMed

Eisenberg, Merrill; Ringwalt, Chris; Driscoll, David; Vallee, Manuel; Gullette, Gregory

2004-01-01

In 2000, the American Legacy Foundation (Legacy) launched truth, a national, multi-medium tobacco control social marketing campaign targeting youth age 12-17. This paper provides a brief description of one aspect of that campaign, the truth tour, and compares and contrasts the truth tour with commercial field marketing approaches used by the tobacco industry. The methods used for the tour's process evaluation are also described, and two important lessons learned about using field marketing techniques and using youth to implement field marketing techniques in social marketing campaigns are discussed. Social marketing campaigns that target youth may want to launch field marketing activities. The truth tour experience can inform the development of those efforts.

Study of CT image texture using deep learning techniques

NASA Astrophysics Data System (ADS)

Dutta, Sandeep; Fan, Jiahua; Chevalier, David

2018-03-01

For CT imaging, reduction of radiation dose while improving or maintaining image quality (IQ) is currently a very active research and development topic. Iterative Reconstruction (IR) approaches have been suggested to be able to offer better IQ to dose ratio compared to the conventional Filtered Back Projection (FBP) reconstruction. However, it has been widely reported that often CT image texture from IR is different compared to that from FBP. Researchers have proposed different figure of metrics to quantitate the texture from different reconstruction methods. But there is still a lack of practical and robust method in the field for texture description. This work applied deep learning method for CT image texture study. Multiple dose scans of a 20cm diameter cylindrical water phantom was performed on Revolution CT scanner (GE Healthcare, Waukesha) and the images were reconstructed with FBP and four different IR reconstruction settings. The training images generated were randomly allotted (80:20) to a training and validation set. An independent test set of 256-512 images/class were collected with the same scan and reconstruction settings. Multiple deep learning (DL) networks with Convolution, RELU activation, max-pooling, fully-connected, global average pooling and softmax activation layers were investigated. Impact of different image patch size for training was investigated. Original pixel data as well as normalized image data were evaluated. DL models were reliably able to classify CT image texture with accuracy up to 99%. Results show that the deep learning techniques suggest that CT IR techniques may help lower the radiation dose compared to FBP.

Radiant thinking and the use of the mind map in nurse practitioner education.

PubMed

Spencer, Julie R; Anderson, Kelley M; Ellis, Kathryn K

2013-05-01

The concept of radiant thinking, which led to the concept of mind mapping, promotes all aspects of the brain working in synergy, with thought beginning from a central point. The mind map, which is a graphical technique to improve creative thinking and knowledge attainment, utilizes colors, images, codes, and dimensions to amplify and enhance key ideas. This technique augments the visualization of relationships and links between concepts, which aids in information acquisition, data retention, and overall comprehension. Faculty can promote students' use of the technique for brainstorming, organizing ideas, taking notes, learning collaboratively, presenting, and studying. These applications can be used in problem-based learning, developing plans of care, health promotion activities, synthesizing disease processes, and forming differential diagnoses. Mind mapping is a creative way for students to engage in a unique method of learning that can expand memory recall and help create a new environment for processing information. Copyright 2013, SLACK Incorporated.

Involving postgraduate's students in undergraduate small group teaching promotes active learning in both

PubMed Central

Kalra, Ruchi; Modi, Jyoti Nath; Vyas, Rashmi

2015-01-01

Background: Lecture is a common traditional method for teaching, but it may not stimulate higher order thinking and students may also be hesitant to express and interact. The postgraduate (PG) students are less involved with undergraduate (UG) teaching. Team based small group active learning method can contribute to better learning experience. Aim: To-promote active learning skills among the UG students using small group teaching methods involving PG students as facilitators to impart hands-on supervised training in teaching and managerial skills. Methodology: After Institutional approval under faculty supervision 92 UGs and 8 PGs participated in 6 small group sessions utilizing the jigsaw technique. Feedback was collected from both. Observations: Undergraduate Feedback (Percentage of Students Agreed): Learning in small groups was a good experience as it helped in better understanding of the subject (72%), students explored multiple reading resources (79%), they were actively involved in self-learning (88%), students reported initial apprehension of performance (71%), identified their learning gaps (86%), team enhanced their learning process (71%), informal learning in place of lecture was a welcome change (86%), it improved their communication skills (82%), small group learning can be useful for future self-learning (75%). Postgraduate Feedback: Majority performed facilitation for first time, perceived their performance as good (75%), it was helpful in self-learning (100%), felt confident of managing students in small groups (100%), as facilitator they improved their teaching skills, found it more useful and better identified own learning gaps (87.5%). Conclusions: Learning in small groups adopting team based approach involving both UGs and PGs promoted active learning in both and enhanced the teaching skills of the PGs. PMID:26380201

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification.

PubMed

Lin, Liang; Wang, Keze; Meng, Deyu; Zuo, Wangmeng; Zhang, Lei

2018-01-01

This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the increasing face images of different individuals. By naturally combining two recently rising techniques: active learning (AL) and self-paced learning (SPL), our framework is capable of automatically annotating new instances and incorporating them into training under weak expert recertification. We first initialize the classifier using a few annotated samples for each individual, and extract image features using the convolutional neural nets. Then, a number of candidates are selected from the unannotated samples for classifier updating, in which we apply the current classifiers ranking the samples by the prediction confidence. In particular, our approach utilizes the high-confidence and low-confidence samples in the self-paced and the active user-query way, respectively. The neural nets are later fine-tuned based on the updated classifiers. Such heuristic implementation is formulated as solving a concise active SPL optimization problem, which also advances the SPL development by supplementing a rational dynamic curriculum constraint. The new model finely accords with the "instructor-student-collaborative" learning mode in human education. The advantages of this proposed framework are two-folds: i) The required number of annotated samples is significantly decreased while the comparable performance is guaranteed. A dramatic reduction of user effort is also achieved over other state-of-the-art active learning techniques. ii) The mixture of SPL and AL effectively improves not only the classifier accuracy compared to existing AL/SPL methods but also the robustness against noisy data. We evaluate our framework on two challenging datasets, which include hundreds of persons under diverse conditions, and demonstrate very promising results. Please find the code of this project at: http://hcp.sysu.edu.cn/projects/aspl/.

Application of E-learning tools for the teaching of Natural Science. A case related to Astronomy

NASA Astrophysics Data System (ADS)

Goldes, G.; Gallino, M.; Britos, D.; Lago, D.; Tavella, G.; Vidal, E.; Morales, S.; Nicotra, M.

The requirements, recent experiences and projections of the application of virtual learning techniques and environments for the teaching of basic sciences at the National University of Córdoba, Argentina, are described. The reasons to still consider basic science E-learning as an institutional vacancy area are discussed. Present activities designed to revert this situation are also discussed. A particular experience about the application of tics as a complementary resource for teaching astronomy at the University is described and discussed on the basis of both strengths and limitations. The organization of E-learning activities at the Faculty of Engineering, Biology and Geology ("Facultad de Ciencias Exactas, Físicas y Naturales") is discussed in some detail.

A Clustering Methodology of Web Log Data for Learning Management Systems

ERIC Educational Resources Information Center

Valsamidis, Stavros; Kontogiannis, Sotirios; Kazanidis, Ioannis; Theodosiou, Theodosios; Karakos, Alexandros

2012-01-01

Learning Management Systems (LMS) collect large amounts of data. Data mining techniques can be applied to analyse their web data log files. The instructors may use this data for assessing and measuring their courses. In this respect, we have proposed a methodology for analysing LMS courses and students' activity. This methodology uses a Markov…

3 CFR 8524 - Proclamation 8524 of May 20, 2010. National Safe Boating Week, 2010

Code of Federal Regulations, 2011 CFR

2011-01-01

..., let us recommit during National Safe Boating Week to practicing safe techniques so boaters of all ages... awareness and teach safe boating practices. Boaters can take advantage of these opportunities to learn, make... activities to observe this occasion by learning more about safe boating practices and to take advantage of...

Does Medical Students' Diagnostic Performance Improve by Observing Examples of Self-Explanation Provided by Peers or Experts?

ERIC Educational Resources Information Center

Chamberland, Martine; Mamede, Sílvia; St-Onge, Christina; Setrakian, Jean; Schmidt, Henk G.

2015-01-01

Educational strategies that promote the development of clinical reasoning in students remain scarce. Generating self-explanations (SE) engages students in active learning and has shown to be an effective technique to improve clinical reasoning in clerks. Example-based learning has been shown to support the development of accurate knowledge…

Creating Excitement and Involvement in the Foreign Language Classroom by Getting Away from the Textbook.

ERIC Educational Resources Information Center

Wattenmaker, Beverly; Lock, Joanne

This paper presents a method for making foreign language learning meaningful and interesting through using language as a tool for communicating about the self and others. Drawing from techniques developed by behavioral scientists, the foreign language was used to develop students' self-awareness and confidence. Learning activities were created,…

Pulling My Gut out--Simple Tools for Engaging Students in Gross Anatomy Lectures

ERIC Educational Resources Information Center

Chan, Lap Ki

2010-01-01

A lecture is not necessarily a monologue, promoting only passive learning. If appropriate techniques are used, a lecture can stimulate active learning too. One such method is demonstration, which can engage learners' attention and increase the interaction between the lecturer and the learners. This article describes two simple and useful tools for…

Young Children as Active Participants in the Investigation of Teaching and Learning

ERIC Educational Resources Information Center

Makin, Laurie; Whiteman, Peter

2006-01-01

Gathering data about children's development and learning has long been the domain of adults. However, there is increasing interest in including children's voices in their education and, a more challenging task, in research that impacts on educational practice and policy making. Techniques such as Instant Video Revisiting (IVR) offer a way for…

Revising the "One-Shot" through Lesson Study: Collaborating with Writing Faculty to Rebuild a Library Instruction Session

ERIC Educational Resources Information Center

Watson, Shevaun E.; Rex, Cathy; Markgraf, Jill; Kishel, Hans; Jennings, Eric; Hinnant, Kate

2013-01-01

The one-shot library instruction session has long been a mainstay for many information literacy programs. Identifying realistic learning goals, integrating active learning techniques, and conducting meaningful assessment for a single lesson all present challenges. Librarians and English faculty at one college campus confronted these challenges by…

Beverage-Agarose Gel Electrophoresis: An Inquiry-Based Laboratory Exercise with Virtual Adaptation

ERIC Educational Resources Information Center

Cunningham, Steven C.; McNear, Brad; Pearlman, Rebecca S.; Kern, Scott E.

2006-01-01

A wide range of literature and experience has shown that teaching methods that promote active learning, such as inquiry-based approaches, are more effective than those that rely on passive learning. Gel electrophoresis, one of the most common laboratory techniques in molecular biology, has a wide range of applications in the life sciences. As…

Comparing brain activity patterns during spontaneous exploratory and cue-instructed learning using single photon-emission computed tomography (SPECT) imaging of regional cerebral blood flow in freely behaving rats.

PubMed

Mannewitz, A; Bock, J; Kreitz, S; Hess, A; Goldschmidt, J; Scheich, H; Braun, Katharina

2018-05-01

Learning can be categorized into cue-instructed and spontaneous learning types; however, so far, there is no detailed comparative analysis of specific brain pathways involved in these learning types. The aim of this study was to compare brain activity patterns during these learning tasks using the in vivo imaging technique of single photon-emission computed tomography (SPECT) of regional cerebral blood flow (rCBF). During spontaneous exploratory learning, higher levels of rCBF compared to cue-instructed learning were observed in motor control regions, including specific subregions of the motor cortex and the striatum, as well as in regions of sensory pathways including olfactory, somatosensory, and visual modalities. In addition, elevated activity was found in limbic areas, including specific subregions of the hippocampal formation, the amygdala, and the insula. The main difference between the two learning paradigms analyzed in this study was the higher rCBF observed in prefrontal cortical regions during cue-instructed learning when compared to spontaneous learning. Higher rCBF during cue-instructed learning was also observed in the anterior insular cortex and in limbic areas, including the ectorhinal and entorhinal cortexes, subregions of the hippocampus, subnuclei of the amygdala, and the septum. Many of the rCBF changes showed hemispheric lateralization. Taken together, our study is the first to compare partly lateralized brain activity patterns during two different types of learning.

Teaching with Movement: Using the Health Privilege Activity to Physically Demonstrate Disparities in Society

ERIC Educational Resources Information Center

Irby-Shasanmi, Amy; Oberlin, Kathleen C.; Saunders, Tiffani N.

2012-01-01

This article describes and evaluates an activity designed to demonstrate how biological factors (e.g., genetics), individual-level behaviors (e.g., smoking), and social factors (e.g., socioeconomic status) shape health status and access to health care. Active learning techniques were utilized to introduce the sociological imagination as it…

In-lab versus at-home activity recognition in ambulatory subjects with incomplete spinal cord injury.

PubMed

Albert, Mark V; Azeze, Yohannes; Courtois, Michael; Jayaraman, Arun

2017-02-06

Although commercially available activity trackers can aid in tracking therapy and recovery of patients, most devices perform poorly for patients with irregular movement patterns. Standard machine learning techniques can be applied on recorded accelerometer signals in order to classify the activities of ambulatory subjects with incomplete spinal cord injury in a way that is specific to this population and the location of the recording-at home or in the clinic. Subjects were instructed to perform a standardized set of movements while wearing a waist-worn accelerometer in the clinic and at-home. Activities included lying, sitting, standing, walking, wheeling, and stair climbing. Multiple classifiers and validation methods were used to quantify the ability of the machine learning techniques to distinguish the activities recorded in-lab or at-home. In the lab, classifiers trained and tested using within-subject cross-validation provided an accuracy of 91.6%. When the classifier was trained on data collected in the lab but tested on at home data, the accuracy fell to 54.6% indicating distinct movement patterns between locations. However, the accuracy of the at-home classifications, when training the classifier with at-home data, improved to 85.9%. Individuals with unique movement patterns can benefit from using tailored activity recognition algorithms easily implemented using modern machine learning methods on collected movement data.

The colloquial approach: An active learning technique

NASA Astrophysics Data System (ADS)

Arce, Pedro

1994-09-01

This paper addresses the very important problem of the effectiveness of teaching methodologies in fundamental engineering courses such as transport phenomena. An active learning strategy, termed the colloquial approach, is proposed in order to increase student involvement in the learning process. This methodology is a considerable departure from traditional methods that use solo lecturing. It is based on guided discussions, and it promotes student understanding of new concepts by directing the student to construct new ideas by building upon the current knowledge and by focusing on key cases that capture the essential aspects of new concepts. The colloquial approach motivates the student to participate in discussions, to develop detailed notes, and to design (or construct) his or her own explanation for a given problem. This paper discusses the main features of the colloquial approach within the framework of other current and previous techniques. Problem-solving strategies and the need for new textbooks and for future investigations based on the colloquial approach are also outlined.

The search for a hippocampal engram.

PubMed

Mayford, Mark

2014-01-05

Understanding the molecular and cellular changes that underlie memory, the engram, requires the identification, isolation and manipulation of the neurons involved. This presents a major difficulty for complex forms of memory, for example hippocampus-dependent declarative memory, where the participating neurons are likely to be sparse, anatomically distributed and unique to each individual brain and learning event. In this paper, I discuss several new approaches to this problem. In vivo calcium imaging techniques provide a means of assessing the activity patterns of large numbers of neurons over long periods of time with precise anatomical identification. This provides important insight into how the brain represents complex information and how this is altered with learning. The development of techniques for the genetic modification of neural ensembles based on their natural, sensory-evoked, activity along with optogenetics allows direct tests of the coding function of these ensembles. These approaches provide a new methodological framework in which to examine the mechanisms of complex forms of learning at the level of the neurons involved in a specific memory.

The search for a hippocampal engram

PubMed Central

Mayford, Mark

2014-01-01

Understanding the molecular and cellular changes that underlie memory, the engram, requires the identification, isolation and manipulation of the neurons involved. This presents a major difficulty for complex forms of memory, for example hippocampus-dependent declarative memory, where the participating neurons are likely to be sparse, anatomically distributed and unique to each individual brain and learning event. In this paper, I discuss several new approaches to this problem. In vivo calcium imaging techniques provide a means of assessing the activity patterns of large numbers of neurons over long periods of time with precise anatomical identification. This provides important insight into how the brain represents complex information and how this is altered with learning. The development of techniques for the genetic modification of neural ensembles based on their natural, sensory-evoked, activity along with optogenetics allows direct tests of the coding function of these ensembles. These approaches provide a new methodological framework in which to examine the mechanisms of complex forms of learning at the level of the neurons involved in a specific memory. PMID:24298162

E-learning resources for vascular surgeons: a needs analysis study.

PubMed

Mâtheiken, Seán J; Verstegen, Daniëlle; Beard, Jonathan; van der Vleuten, Cees

2012-01-01

To obtain the views of vascular surgeons about online resources in their specialty as a guide to future e-learning development. A focused questionnaire regarding e-learning resources in vascular surgery was circulated online. A combination of structured and open-ended questions addressed users' ranking of various resource types, examples of presently used websites, suggestions for future growth, and the opportunity to become actively involved in e-learning development. The responses were collected over a 4-week period and remained anonymous. The study was conducted online at http://www.vasculareducation.com as part of an ongoing project on e-learning for vascular surgeons by the Department of Educational Development and Research, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands. The survey population consisted of vascular surgeons and surgical trainees in Europe. The participants were contacted via their membership of the European Society for Vascular Surgery and national academic or administrative vascular surgical organizations. Demographic information was collected about clinical seniority and country of work. In all, 252 responses were obtained. Respondents favored the development of a variety of online resources in vascular surgery. The strongest demand was for illustrations and videos of surgical techniques, followed by an interactive calendar and peer-reviewed multiple-choice questions. Overall, 46% of respondents wished to contribute actively toward e-learning development, with consultants being more willing than trainees to do so. Members of the vascular surgical community value online resources in their specialty, especially for procedural techniques. Vascular surgeons would like to be actively involved in subsequent development of e-learning resources. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Research and Teaching: Assessment of Graduate Teaching Assistants Enrolled in a Teaching Techniques Course

ERIC Educational Resources Information Center

Zehnder, Caralyn

2016-01-01

At the authors' public liberal arts institution, biology masters students are required to enroll in BIOL 5050: Teaching Techniques. Course topics include designing effective lectures, assessment, classroom management, diversity in the classroom, and active learning strategies. The impact of this type of training on graduate students' attitudes and…

Technologies of Student Testing for Learning Quality Evaluation in the System of Higher Education

ERIC Educational Resources Information Center

Bayukova, Nadezhda Olegovna; Kareva, Ludmila Alexandrovna; Rudometova, Liliya Tarasovna; Shlangman, Marina Konstantinovna; Yarantseva, Natalia Vladislavovna

2015-01-01

The paper deals with technology of students' achievement in the area of educational activities, methods, techniques, forms and conditions of monitoring knowledge quality in accordance with the requirements of Russian higher education system modernization. The authors propose methodic techniques of students' training for testing based on innovative…

Aligning Goals, Assessments, and Activities: An Approach to Teaching PCR and Gel Electrophoresis

ERIC Educational Resources Information Center

Phillips, Allison R.; Robertson, Amber L.; Batzli, Janet; Harris, Michelle; Miller, Sarah

2008-01-01

Polymerase chain reaction (PCR) and gel electrophoresis have become common techniques used in undergraduate molecular and cell biology labs. Although students enjoy learning these techniques, they often cannot fully comprehend and analyze the outcomes of their experiments because of a disconnect between concepts taught in lecture and experiments…

Handbook of Alternative Teaching Techniques.

ERIC Educational Resources Information Center

Desmarais, Diane; Tripp, Ralph

This handbook was designed for educators of adults at varied levels with varying needs. The techniques discussed in the guide can be used in groups, pairs, or individually. The booklet contains two sections: (1) a brief review of different learning styles and the types of activities that work well for each, including visual, auditory,…

Backpocket: Activities for Nature Study.

ERIC Educational Resources Information Center

Hendry, Ian; And Others

1995-01-01

Leading naturalist-teachers share outdoor learning activities and techniques, including using binoculars as magnifiers, scavenger hunts, games such as "what's it called" and "I spy," insect study, guessing the age of trees by examining the bark, leading bird walks, exploring nature in the community, and enhancing nature hikes…

Pattern Activity Clustering and Evaluation (PACE)

NASA Astrophysics Data System (ADS)

Blasch, Erik; Banas, Christopher; Paul, Michael; Bussjager, Becky; Seetharaman, Guna

2012-06-01

With the vast amount of network information available on activities of people (i.e. motions, transportation routes, and site visits) there is a need to explore the salient properties of data that detect and discriminate the behavior of individuals. Recent machine learning approaches include methods of data mining, statistical analysis, clustering, and estimation that support activity-based intelligence. We seek to explore contemporary methods in activity analysis using machine learning techniques that discover and characterize behaviors that enable grouping, anomaly detection, and adversarial intent prediction. To evaluate these methods, we describe the mathematics and potential information theory metrics to characterize behavior. A scenario is presented to demonstrate the concept and metrics that could be useful for layered sensing behavior pattern learning and analysis. We leverage work on group tracking, learning and clustering approaches; as well as utilize information theoretical metrics for classification, behavioral and event pattern recognition, and activity and entity analysis. The performance evaluation of activity analysis supports high-level information fusion of user alerts, data queries and sensor management for data extraction, relations discovery, and situation analysis of existing data.

Revitalizing the Physics Department: The Use of Interactive Technologies to Improve Student Learning

NASA Astrophysics Data System (ADS)

Sheldon, Peter; Groover, Holly

2002-04-01

The Physics Department at Randolph-Macon Woman's College, a liberal arts women's college of 720, has traditionally turned out approximately 0.6 majors/year. We have invigorated the program by adding community (e.g. SPS, physical space, organized activities), adding a significant technical component (e.g. web-assisted and computerized labs and more technology in the classes [1]), and incorporating new learning techniques (JITT, Physlets, Peer Instruction and Cooperative Learning [2]). Students have responded well as evidenced by significant increases in enrollments as well as strong scores on the FCI. We have seen mixed results in the lab, but increased performance in the class, which is attributed to the interactive learning techniques that are being implemented through new technologies. In this presentation, we will discuss the implementation of the new curricular developments and the specific changes we have seen in student learning. [1] This work is supported in part by the NSF CCLI Program under grant DUE-9980890. Additional support has been from the Virginia Foundation of Private Colleges and AT&T. [2] See, for example, the project Galileo website http://galileo.harvard.edu for a description of all of these techniques.

Disrupted Prediction Error Links Excessive Amygdala Activation to Excessive Fear.

PubMed

Sengupta, Auntora; Winters, Bryony; Bagley, Elena E; McNally, Gavan P

2016-01-13

Basolateral amygdala (BLA) is critical for fear learning, and its heightened activation is widely thought to underpin a variety of anxiety disorders. Here we used chemogenetic techniques in rats to study the consequences of heightened BLA activation for fear learning and memory, and to specifically identify a mechanism linking increased activity of BLA glutamatergic neurons to aberrant fear. We expressed the excitatory hM3Dq DREADD in rat BLA glutamatergic neurons and showed that CNO acted selectively to increase their activity, depolarizing these neurons and increasing their firing rates. This chemogenetic excitation of BLA glutamatergic neurons had no effect on the acquisition of simple fear learning, regardless of whether this learning led to a weak or strong fear memory. However, in an associative blocking task, chemogenetic excitation of BLA glutamatergic neurons yielded significant learning to a blocked conditioned stimulus, which otherwise should not have been learned about. Moreover, in an overexpectation task, chemogenetic manipulation of BLA glutamatergic neurons prevented use of negative prediction error to reduce fear learning, leading to significant impairments in fear inhibition. These effects were not attributable to the chemogenetic manipulation enhancing arousal, increasing asymptotic levels of fear learning or fear memory consolidation. Instead, chemogenetic excitation of BLA glutamatergic neurons disrupted use of prediction error to regulate fear learning. Several neuropsychiatric disorders are characterized by heightened activation of the amygdala. This heightened activation has been hypothesized to underlie increased emotional reactivity, fear over generalization, and deficits in fear inhibition. Yet the mechanisms linking heightened amygdala activation to heightened emotional learning are elusive. Here we combined chemogenetic excitation of rat basolateral amygdala glutamatergic neurons with a variety of behavioral approaches to show that, although simple fear learning is unaffected, the use of prediction error to regulate this learning is profoundly disrupted, leading to formation of inappropriate fear associations and impaired fear inhibition. Copyright © 2016 the authors 0270-6474/16/360385-11$15.00/0.

Automatic Earthquake Detection by Active Learning

NASA Astrophysics Data System (ADS)

Bergen, K.; Beroza, G. C.

2017-12-01

In recent years, advances in machine learning have transformed fields such as image recognition, natural language processing and recommender systems. Many of these performance gains have relied on the availability of large, labeled data sets to train high-accuracy models; labeled data sets are those for which each sample includes a target class label, such as waveforms tagged as either earthquakes or noise. Earthquake seismologists are increasingly leveraging machine learning and data mining techniques to detect and analyze weak earthquake signals in large seismic data sets. One of the challenges in applying machine learning to seismic data sets is the limited labeled data problem; learning algorithms need to be given examples of earthquake waveforms, but the number of known events, taken from earthquake catalogs, may be insufficient to build an accurate detector. Furthermore, earthquake catalogs are known to be incomplete, resulting in training data that may be biased towards larger events and contain inaccurate labels. This challenge is compounded by the class imbalance problem; the events of interest, earthquakes, are infrequent relative to noise in continuous data sets, and many learning algorithms perform poorly on rare classes. In this work, we investigate the use of active learning for automatic earthquake detection. Active learning is a type of semi-supervised machine learning that uses a human-in-the-loop approach to strategically supplement a small initial training set. The learning algorithm incorporates domain expertise through interaction between a human expert and the algorithm, with the algorithm actively posing queries to the user to improve detection performance. We demonstrate the potential of active machine learning to improve earthquake detection performance with limited available training data.

Using Ensemble Decisions and Active Selection to Improve Low-Cost Labeling for Multi-View Data

NASA Technical Reports Server (NTRS)

Rebbapragada, Umaa; Wagstaff, Kiri L.

2011-01-01

This paper seeks to improve low-cost labeling in terms of training set reliability (the fraction of correctly labeled training items) and test set performance for multi-view learning methods. Co-training is a popular multiview learning method that combines high-confidence example selection with low-cost (self) labeling. However, co-training with certain base learning algorithms significantly reduces training set reliability, causing an associated drop in prediction accuracy. We propose the use of ensemble labeling to improve reliability in such cases. We also discuss and show promising results on combining low-cost ensemble labeling with active (low-confidence) example selection. We unify these example selection and labeling strategies under collaborative learning, a family of techniques for multi-view learning that we are developing for distributed, sensor-network environments.

The role of picture of process (pp) on senior high school students’ collision concept learning activities and multirepresentation ability

NASA Astrophysics Data System (ADS)

Sutarto; Indrawati; Wicaksono, I.

2018-04-01

The objectives of the study are to describe the effect of PP collision concepts to high school students’ learning activities and multirepresentation abilities. This study was a quasi experimental with non- equivalent post-test only control group design. The population of this study were students who will learn the concept of collision in three state Senior High Schools in Indonesia, with a sample of each school 70 students, 35 students as an experimental group and 35 students as a control group. Technique of data collection were observation and test. The data were analized by descriptive and inferensial statistic. Student learning activities were: group discussions, describing vectors of collision events, and formulating problem-related issues of impact. Multirepresentation capabilities were student ability on image representation, verbal, mathematics, and graph. The results showed that the learning activities in the three aspects for the three high school average categorized good. The impact of using PP on students’ ability on image and graph representation were a significant impact, but for verbal and mathematical skills there are differences but not significant.

Boosting physics education through mobile augmented reality

NASA Astrophysics Data System (ADS)

Crǎciun, Dana; Bunoiu, Mǎdǎlin

2017-12-01

The integration of collaborative applications, based on modern learning technologies and the Internet, of various visualization techniques and digital strategies in open, flexible modern learning environments which facilitate access to resources, represents a challenge for physics teachers in Romania in general, and for novice teachers in particular. Although large efforts have been made worldwide to invest in educational technologies, their impact on the students' learning outcomes is quite modest. In this paper, we describe and analyze various curricular and extracurricular activities specifically designed for and undertaken by pre-service physics teachers. These activities employ new educational technologies, mobile augmented reality (MAR) and are based on modern teaching and learning theories. MAR is an extension for mobile devices of augmented reality, an interactive and in real time combination, of real and virtual objects overlaid in the real environment. The obtained results show that pre-service physics teachers are confident in using MAR in their teaching and learning activities, and consider that the activities performed helped them develop the skills necessary for science teachers in a technology-based society and to reflect upon the role of technology in the current Romanian educational context.

Introduction to the Symposium "Leading Students and Faculty to Quantitative Biology through Active Learning".

PubMed

Waldrop, Lindsay D; Miller, Laura A

2015-11-01

The broad aim of this symposium and set of associated papers is to motivate the use of inquiry-based, active-learning teaching techniques in undergraduate quantitative biology courses. Practical information, resources, and ready-to-use classroom exercises relevant to physicists, mathematicians, biologists, and engineers are presented. These resources can be used to address the lack of preparation of college students in STEM fields entering the workforce by providing experience working on interdisciplinary and multidisciplinary problems in mathematical biology in a group setting. Such approaches can also indirectly help attract and retain under-represented students who benefit the most from "non-traditional" learning styles and strategies, including inquiry-based, collaborative, and active learning. © The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

A review of active learning approaches to experimental design for uncovering biological networks

PubMed Central

2017-01-01

Various types of biological knowledge describe networks of interactions among elementary entities. For example, transcriptional regulatory networks consist of interactions among proteins and genes. Current knowledge about the exact structure of such networks is highly incomplete, and laboratory experiments that manipulate the entities involved are conducted to test hypotheses about these networks. In recent years, various automated approaches to experiment selection have been proposed. Many of these approaches can be characterized as active machine learning algorithms. Active learning is an iterative process in which a model is learned from data, hypotheses are generated from the model to propose informative experiments, and the experiments yield new data that is used to update the model. This review describes the various models, experiment selection strategies, validation techniques, and successful applications described in the literature; highlights common themes and notable distinctions among methods; and identifies likely directions of future research and open problems in the area. PMID:28570593

Active-learning strategies in computer-assisted drug discovery.

PubMed

Reker, Daniel; Schneider, Gisbert

2015-04-01

High-throughput compound screening is time and resource consuming, and considerable effort is invested into screening compound libraries, profiling, and selecting the most promising candidates for further testing. Active-learning methods assist the selection process by focusing on areas of chemical space that have the greatest chance of success while considering structural novelty. The core feature of these algorithms is their ability to adapt the structure-activity landscapes through feedback. Instead of full-deck screening, only focused subsets of compounds are tested, and the experimental readout is used to refine molecule selection for subsequent screening cycles. Once implemented, these techniques have the potential to reduce costs and save precious materials. Here, we provide a comprehensive overview of the various computational active-learning approaches and outline their potential for drug discovery. Copyright © 2014 Elsevier Ltd. All rights reserved.

Bureaucratic Politics and Decision Making under Uncertainty in a National Security Crisis: Assessing the Effects of International Relations Theory and the Learning Impact of Role-Playing Simulation at the U.S. Naval Academy

ERIC Educational Resources Information Center

Biziouras, Nikolaos

2013-01-01

Using a pre-/posttest research design, this article measures the learning impact of active-learning techniques such as role-playing simulations in an international relations course. Using the students' different responses to the pre- and postsimulation surveys in a quasi-experimental design whereby two sections that were taught by the same…

α1-Adrenoceptors in the hippocampal dentate gyrus involved in learning-dependent long-term potentiation during active-avoidance learning in rats.

PubMed

Lv, Jing; Zhan, Su-Yang; Li, Guang-Xie; Wang, Dan; Li, Ying-Shun; Jin, Qing-Hua

2016-11-09

The hippocampus is the key structure for learning and memory in mammals and long-term potentiation (LTP) is an important cellular mechanism responsible for learning and memory. The influences of norepinephrine (NE) on the modulation of learning and memory, as well as LTP, through β-adrenoceptors are well documented, whereas the role of α1-adrenoceptors in learning-dependent LTP is not yet clear. In the present study, we measured extracellular concentrations of NE in the hippocampal dentate gyrus (DG) region using an in-vivo brain microdialysis and high-performance liquid chromatography techniques during the acquisition and extinction of active-avoidance behavior in freely moving conscious rats. Next, the effects of prazosin (an antagonist of α1-adrenoceptor) and phenylephrine (an agonist of the α1-adrenoceptor) on amplitudes of field excitatory postsynaptic potential were measured in the DG region during the active-avoidance behavior. Our results showed that the extracellular concentration of NE in the DG was significantly increased during the acquisition of active-avoidance behavior and gradually returned to the baseline level following extinction training. A local microinjection of prazosin into the DG significantly accelerated the acquisition of the active-avoidance behavior, whereas a local microinjection of phenylephrine retarded the acquisition of the active-avoidance behavior. Furthermore, in all groups, the changes in field excitatory postsynaptic potential amplitude were accompanied by corresponding changes in active-avoidance behavior. Our results suggest that NE activation of α1-adrenoceptors in the hippocampal DG inhibits active-avoidance learning by modulation of synaptic efficiency in rats.

Virtual screening by a new Clustering-based Weighted Similarity Extreme Learning Machine approach

PubMed Central

Kudisthalert, Wasu

2018-01-01

Machine learning techniques are becoming popular in virtual screening tasks. One of the powerful machine learning algorithms is Extreme Learning Machine (ELM) which has been applied to many applications and has recently been applied to virtual screening. We propose the Weighted Similarity ELM (WS-ELM) which is based on a single layer feed-forward neural network in a conjunction of 16 different similarity coefficients as activation function in the hidden layer. It is known that the performance of conventional ELM is not robust due to random weight selection in the hidden layer. Thus, we propose a Clustering-based WS-ELM (CWS-ELM) that deterministically assigns weights by utilising clustering algorithms i.e. k-means clustering and support vector clustering. The experiments were conducted on one of the most challenging datasets–Maximum Unbiased Validation Dataset–which contains 17 activity classes carefully selected from PubChem. The proposed algorithms were then compared with other machine learning techniques such as support vector machine, random forest, and similarity searching. The results show that CWS-ELM in conjunction with support vector clustering yields the best performance when utilised together with Sokal/Sneath(1) coefficient. Furthermore, ECFP_6 fingerprint presents the best results in our framework compared to the other types of fingerprints, namely ECFP_4, FCFP_4, and FCFP_6. PMID:29652912

Less is more: Sampling chemical space with active learning

NASA Astrophysics Data System (ADS)

Smith, Justin S.; Nebgen, Ben; Lubbers, Nicholas; Isayev, Olexandr; Roitberg, Adrian E.

2018-06-01

The development of accurate and transferable machine learning (ML) potentials for predicting molecular energetics is a challenging task. The process of data generation to train such ML potentials is a task neither well understood nor researched in detail. In this work, we present a fully automated approach for the generation of datasets with the intent of training universal ML potentials. It is based on the concept of active learning (AL) via Query by Committee (QBC), which uses the disagreement between an ensemble of ML potentials to infer the reliability of the ensemble's prediction. QBC allows the presented AL algorithm to automatically sample regions of chemical space where the ML potential fails to accurately predict the potential energy. AL improves the overall fitness of ANAKIN-ME (ANI) deep learning potentials in rigorous test cases by mitigating human biases in deciding what new training data to use. AL also reduces the training set size to a fraction of the data required when using naive random sampling techniques. To provide validation of our AL approach, we develop the COmprehensive Machine-learning Potential (COMP6) benchmark (publicly available on GitHub) which contains a diverse set of organic molecules. Active learning-based ANI potentials outperform the original random sampled ANI-1 potential with only 10% of the data, while the final active learning-based model vastly outperforms ANI-1 on the COMP6 benchmark after training to only 25% of the data. Finally, we show that our proposed AL technique develops a universal ANI potential (ANI-1x) that provides accurate energy and force predictions on the entire COMP6 benchmark. This universal ML potential achieves a level of accuracy on par with the best ML potentials for single molecules or materials, while remaining applicable to the general class of organic molecules composed of the elements CHNO.

Techniques for Engaging the Public in Planetary Science

NASA Astrophysics Data System (ADS)

Shupla, Christine; Shaner, Andrew; Smith Hackler, Amanda

2017-10-01

Public audiences are often curious about planetary science. Scientists and education and public engagement specialists can leverage this interest to build scientific literacy. This poster will highlight research-based techniques the authors have tested with a variety of audiences, and are disseminating to planetary scientists through trainings.Techniques include:Make it personal. Audiences are interested in personal stories, which can capture the excitement, joy, and challenges that planetary scientists experience in their research. Audiences can learn more about the nature of science by meeting planetary scientists and hearing personal stories about their motivations, interests, and how they conduct research.Share relevant connections. Most audiences have very limited understanding of the solar system and the features and compositions of planetary bodies, but they enjoy learning about those objects they can see at night and factors that connect to their culture or local community.Demonstrate concepts. Some concepts can be clarified with analogies, but others can be demonstrated or modeled with materials. Demonstrations that are messy, loud, or that yield surprising results are particularly good at capturing an audience’s attention, but if they don’t directly relate to the key concept, they can serve as a distraction.Give them a role. Audience participation is an important engagement technique. In a presentation, scientists can invite the audience to respond to questions, pause to share their thoughts with a neighbor, or vote on an answer. Audiences can respond physically to prompts, raising hands, pointing, or clapping, or even moving to different locations in the room.Enable the audience to conduct an activity. People learn best by doing and by teaching others; simple hands-on activities in which the audience is discovering something themselves can be extremely effective at engaging audiences.This poster will cite examples of each technique, resources that can help planetary scientists develop presentations, demonstrations, and activities for public engagement events, and the research that supports the use of these techniques.

Sparse feature learning for instrument identification: Effects of sampling and pooling methods.

PubMed

Han, Yoonchang; Lee, Subin; Nam, Juhan; Lee, Kyogu

2016-05-01

Feature learning for music applications has recently received considerable attention from many researchers. This paper reports on the sparse feature learning algorithm for musical instrument identification, and in particular, focuses on the effects of the frame sampling techniques for dictionary learning and the pooling methods for feature aggregation. To this end, two frame sampling techniques are examined that are fixed and proportional random sampling. Furthermore, the effect of using onset frame was analyzed for both of proposed sampling methods. Regarding summarization of the feature activation, a standard deviation pooling method is used and compared with the commonly used max- and average-pooling techniques. Using more than 47 000 recordings of 24 instruments from various performers, playing styles, and dynamics, a number of tuning parameters are experimented including the analysis frame size, the dictionary size, and the type of frequency scaling as well as the different sampling and pooling methods. The results show that the combination of proportional sampling and standard deviation pooling achieve the best overall performance of 95.62% while the optimal parameter set varies among the instrument classes.

Use of Team-Based Learning Pedagogy for Internal Medicine Ambulatory Resident Teaching.

PubMed

Balwan, Sandy; Fornari, Alice; DiMarzio, Paola; Verbsky, Jennifer; Pekmezaris, Renee; Stein, Joanna; Chaudhry, Saima

2015-12-01

Team-based learning (TBL) is used in undergraduate medical education to facilitate higher-order content learning, promote learner engagement and collaboration, and foster positive learner attitudes. There is a paucity of data on the use of TBL in graduate medical education. Our aim was to assess resident engagement, learning, and faculty/resident satisfaction with TBL in internal medicine residency ambulatory education. Survey and nominal group technique methodologies were used to assess learner engagement and faculty/resident satisfaction. We assessed medical learning using individual (IRAT) and group (GRAT) readiness assurance tests. Residents (N = 111) involved in TBL sessions reported contributing to group discussions and actively discussing the subject material with other residents. Faculty echoed similar responses, and residents and faculty reported a preference for future teaching sessions to be offered using the TBL pedagogy. The average GRAT score was significantly higher than the average IRAT score by 22%. Feedback from our nominal group technique rank ordered the following TBL strengths by both residents and faculty: (1) interactive format, (2) content of sessions, and (3) competitive nature of sessions. We successfully implemented TBL pedagogy in the internal medicine ambulatory residency curriculum, with learning focused on the care of patients in the ambulatory setting. TBL resulted in active resident engagement, facilitated group learning, and increased satisfaction by residents and faculty. To our knowledge this is the first study that implemented a TBL program in an internal medicine residency curriculum.

Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

NASA Astrophysics Data System (ADS)

Rougier, Simon; Puissant, Anne; Stumpf, André; Lachiche, Nicolas

2016-09-01

Vegetation monitoring is becoming a major issue in the urban environment due to the services they procure and necessitates an accurate and up to date mapping. Very High Resolution satellite images enable a detailed mapping of the urban tree and herbaceous vegetation. Several supervised classifications with statistical learning techniques have provided good results for the detection of urban vegetation but necessitate a large amount of training data. In this context, this study proposes to investigate the performances of different sampling strategies in order to reduce the number of examples needed. Two windows based active learning algorithms from state-of-art are compared to a classical stratified random sampling and a third combining active learning and stratified strategies is proposed. The efficiency of these strategies is evaluated on two medium size French cities, Strasbourg and Rennes, associated to different datasets. Results demonstrate that classical stratified random sampling can in some cases be just as effective as active learning methods and that it should be used more frequently to evaluate new active learning methods. Moreover, the active learning strategies proposed in this work enables to reduce the computational runtime by selecting multiple windows at each iteration without increasing the number of windows needed.

Promoting Student Engagement. Volume 1: Programs, Techniques and Opportunities

ERIC Educational Resources Information Center

Miller, Richard L., Ed.; Amsel, Eric, Ed.; Kowalewski, Brenda Marsteller, Ed.; Beins, Bernard C., Ed.; Keith, Kenneth D., Ed.; Peden, Blaine F., Ed.

2011-01-01

To promote student engagement, professors must actively seek to create the conditions that foster engagement. Chickering and Gamson (1987) suggest that good practices in undergraduate education are ones that: encourage student-faculty contact, develop reciprocity and cooperation among students, encourage active learning, provide students with…

Hands-On Calculus

ERIC Educational Resources Information Center

Sutherland, Melissa

2006-01-01

In this paper we discuss manipulatives and hands-on investigations for Calculus involving volume, arc length, and surface area to motivate and develop formulae which can then be verified using techniques of integration. Pre-service teachers in calculus courses using these activities experience a classroom in which active learning is encouraged and…

Examining the Efficacy of the Modified Story Memory Technique (mSMT) in Persons With TBI Using Functional Magnetic Resonance Imaging (fMRI): The TBI-MEM Trial.

PubMed

Chiaravalloti, Nancy D; Dobryakova, Ekaterina; Wylie, Glenn R; DeLuca, John

2015-01-01

New learning and memory deficits are common following traumatic brain injury (TBI). Yet few studies have examined the efficacy of memory retraining in TBI through the most methodologically vigorous randomized clinical trial. Our previous research has demonstrated that the modified Story Memory Technique (mSMT) significantly improves new learning and memory in multiple sclerosis. The present double-blind, placebo-controlled, randomized clinical trial examined changes in cerebral activation on functional magnetic resonance imaging following mSMT treatment in persons with TBI. Eighteen individuals with TBI were randomly assigned to treatment (n = 9) or placebo (n = 9) groups. Baseline and follow-up functional magnetic resonance imaging was collected during a list-learning task. Significant differences in cerebral activation from before to after treatment were noted in regions belonging to the default mode network and executive control network in the treatment group only. Results are interpreted in light of these networks. Activation differences between the groups likely reflect increased use of strategies taught during treatment. This study demonstrates a significant change in cerebral activation resulting from the mSMT in a TBI sample. Findings are consistent with previous work in multiple sclerosis. Behavioral interventions can show significant changes in the brain, validating clinical utility.

Chiropractic Name techniques in Canada: a continued look at demographic trends and their impact on issues of jurisprudence

PubMed Central

Gleberzon, Brain J

2002-01-01

In a previous article, the author reported on the recommendations gathered from student projects between 1996 and 1999 investigating their preferences for including certain chiropractic Name technique systems into the curriculum at the Canadian Memorial Chiropractic College (CMCC). These results were found to be congruent with the professional treatment technique used by Canadian chiropractors. This article reports on the data obtained during the 2000 and 2001 academic years, comparing these results to those previously gathered. In addition, because of the implementation of a new curriculum during this time period, there was unique opportunity to observe whether or not student perceptions differed between those students in the `old' curricular program, and those students in the `new' curricular program. The results gathered indicate that students in both curricular programs show an interest in learning Thompson Terminal Point, Activator Methods, Gonstead, and Active Release Therapy techniques in the core curriculum, as an elective, or during continuing educational programs provided by the college. Students continue to show less interest in learning CranioSacral Therapy, SacroOccipital Technique, Logan Basic, Applied Kinesiology and Chiropractic BioPhysics. Over time, student interest has moved away from Palmer HIO and other upper cervical techniques, and students show a declining interest in being offered instruction in either Network Spinal Analysis or Torque Release Techniques. Since these findings reflect the practice activities of Canadian chiropractors they may have implications not only towards pedagogical decision-making processes at CMCC, but they may also influence professional standards of care.

Understanding physiology by acting out concepts.

PubMed

Yucha, C B

1995-12-01

Typically, classes in anatomy and physiology are taught via lecture and visual aids. This seems to work well for students who are primarily auditory and visual learners but not for those who learn better through kinesthetic experiences. This is the first report describing the use of improvisation to act out physiological concepts within an anatomy and physiology course. Improvisational techniques encourage active participation and allow students to personally interact with and experience difficult concepts in the classroom. In this paper, sensory modality preferences for learning will be discussed briefly. Improvisational techniques will be described, and examples of improvisations useful to convey intricate physiological concepts will be provided. Last, student responses to the use of improvisational techniques in an anatomy and physiology course will be reported.

An Assessment of the Effectiveness of a Classroom Activity Designed to Teach the Value of Lifelong Learning

ERIC Educational Resources Information Center

Boburka, Reneé R.; Wesp, Richard K.; Eshun, Sussie; Drago, Anthony L.

2014-01-01

Many agree that educational systems should instill in students the value of lifelong learning (LLL), but few have suggested how to accomplish that or how to measure the effectiveness of those curricular initiatives. We developed a technique intended to strengthen students' beliefs about the value of LLL and piloted use of a recently developed…

Mind Boggling! Considering the Possibilities of Brain Gym in Learning to Play an Instrument

ERIC Educational Resources Information Center

Moore, Hilary; Hibbert, Fiona

2005-01-01

This paper is one of the first presentations of research into brain gym's effectiveness in learning musical instruments. Brain gym (or Edu-K) is the popular, over-arching name for a system of exercises, approaches, and techniques intended to improve mental and physical performance. We explain the basic concepts and activities of brain gym and…

Idea Place: Early Grades. [Columns Compiled from Seven Issues of Learning Magazine, September to November 1982 and January to April-May 1983.

ERIC Educational Resources Information Center

Learning, 1983

1983-01-01

The "Idea Place," a regular feature carried by the magazine "Learning," provides an assortment of practical teaching techniques selected from commercially available materials and from ideas submitted by readers. Games, puzzles, and other activities are given for the areas of language arts, reading, mathematics, science, social…

The Recovery Care and Treatment Center: A Database Design and Development Case

ERIC Educational Resources Information Center

Harris, Ranida B.; Vaught, Kara L.

2008-01-01

The advantages of active learning methodologies have been suggested and empirically shown by a number of IS educators. Case studies are one such teaching technique that offers students the ability to think analytically, apply material learned, and solve a real-world problem. This paper presents a case study designed to be used in a database design…

New Ways in Teacher Education. New Ways in TESOL Series: Innovative Classroom Techniques.

ERIC Educational Resources Information Center

Freeman, Donald, Ed.; Cornwell, Steve, Ed.

This book presents 46 classroom activities that teacher educators have used in helping people learn to teach. Some are specific to learning how to teach second languages, but most can be used to address the teaching of any subject matter. All emphasize what teacher trainees bring to the process of becoming independent, self-sufficient classroom…

Modeling Temporal Crowd Work Quality with Limited Supervision

DTIC Science & Technology

2015-11-11

crowdsourcing, human computation, predic- tion, uncertainty-aware learning, time- series modeling Introduction While crowdsourcing offers a cost...individual correctness. As discussed ear- lier, such a strategy is difficult to employ in a live setting because it is unrealistic to assume that all...et al. 2014). Finally, there are interesting opportunities to investigate at the intersection of live task-routing with active-learning techniques

Active Learning and Student Engagement in the Business Curriculum: Excel Can Be the Answer

ERIC Educational Resources Information Center

McCloskey, Donna W.; Bussom, Lisa

2013-01-01

Business educators are struggling with how better to engage their students in the learning process. At the same time, stakeholders are reporting that business students are ill prepared in problem solving techniques and the effective use of spreadsheets. The systemic use of Excel as a teaching tool in the business curriculum may be the answer to…

A Sourcebook of Cooperative Learning Activities for Introductory Undergraduate Astronomy for Non-Science Majors

NASA Astrophysics Data System (ADS)

Deming, Grace L.; Miller, Scott T.; Trasco, John D.

1996-05-01

Students become more interested in learning and retain more in courses that rely on active rather than passive teaching methods. Cooperative learning activities can be structured to engage students toward greater participation in their own education. We have developed a sourcebook containing a variety of cooperative learning methods and activities to aid in the teaching of astronomy at the undergraduate level. Special effort has been made to include activities that can be used within the classroom or as a group homework assignment, in courses with teaching assistants and those without, and in large or small classes. In addition to reinforcing concepts taught in introductory astronomy, the activities are structured to strengthen skills associated with a scientifically literate person. A goal of undergraduate science education is to produce citizens who can understand and share in the excitement of scientific discoveries as well as make informed decisions regarding scientific and technological issues. The sourcebook, available in August, 1996, will contain sections on the advantages/disadvantages of group activities, basic cooperative learning techniques, in class/out of class activities, and how to use peer instruction to expose students to the wonderfaul astronomy resources on the internet. Each activity includes suggestions to the instructor as to how the assignment can be incorporated into an introductory astronomy course. This project funded by NSF DUE-9354503.

Piaget and Organic Chemistry: Teaching Introductory Organic Chemistry through Learning Cycles

NASA Astrophysics Data System (ADS)

Libby, R. Daniel

1995-07-01

This paper describes the first application of the Piaget-based learning cycle technique (Atkin & Karplus, Sci. Teach. 1962, 29, 45-51) to an introductory organic chemistry course. It also presents the step-by-step process used to convert a lecture course into a discussion-based active learning course. The course is taught in a series of learning cycles. A learning cycle is a three phase process that provides opportunities for students to explore new material and work with an instructor to recognize logical patterns in data, and devise and test hypotheses. In this application, the first phase, exploration, involves out-of-class student evaluation of data in attempts to identify significant trends and develop hypotheses that might explain the trends in terms of fundamental scientific principles. In the second phase, concept invention, the students and instructor work together in-class to evaluate student hypotheses and find concepts that work best in explaining the data. The third phase, application, is an out-of-class application of the concept to new situations. The development of learning cycles from lecture notes is presented as an 8 step procedure. The process involves revaluation and restructuring of the course material to maintain a continuity of concept development according to the instructor's logic, dividing topics into individual concepts or techniques, and refocusing the presentation in terms of large numbers of examples that can serve as data for students in their exploration and application activities. A sample learning cycle and suggestions for ways of limited implementation of learning cycles into existing courses are also provided.

A blended-learning programme regarding professional ethics in physiotherapy students.

PubMed

Aguilar-Rodríguez, Marta; Marques-Sule, Elena; Serra-Añó, Pilar; Espí-López, Gemma Victoria; Dueñas-Moscardó, Lirios; Pérez-Alenda, Sofía

2018-01-01

In the university context, assessing students' attitude, knowledge and opinions when applying an innovative methodological approach to teach professional ethics becomes fundamental to know if the used approach is enough motivating for students. To assess the effect of a blended-learning model, based on professional ethics and related to clinical practices, on physiotherapy students' attitude, knowledge and opinions towards learning professional ethics. Research design and participants: A simple-blind clinical trial was performed (NLM identifier NCT03241693) (control group, n = 64; experimental group, n = 65). Both groups followed clinical practices for 8 months. Control group performed a public exposition of a clinical case about professional ethics. By contrast, an 8-month blended-learning programme regarding professional ethics was worked out for experimental group. An online syllabus and online activities were elaborated, while face-to-face active participation techniques were performed to discuss ethical issues. Students' attitudes, knowledge and opinions towards learning professional ethics were assessed. Ethical considerations: The study was approved by the University Ethic Committee of Human Research and followed the ethical principles according to the Declaration of Helsinki. After the programme, attitudes and knowledge towards learning professional ethics of experimental group students significantly improved, while no differences were observed in control group. Moreover, opinions reported an adequate extension of themes and temporization, importance of clinical practices and interest of topics. Case study method and role playing were considered as the most helpful techniques. The blended-learning programme proposed, based on professional ethics and related to clinical practices, improves physiotherapy students' attitudes, knowledge and opinions towards learning professional ethics.

The Implementation of Research-based Learning on Biology Seminar Course in Biology Education Study Program of FKIP UMRAH

NASA Astrophysics Data System (ADS)

Amelia, T.

2018-04-01

Biology Seminar is a course in Biology Education Study Program of Faculty of Teacher Training and Education University of Maritim Raja Ali Haji (FKIP UMRAH) that requires students to have the ability to apply scientific attitudes, perform scientific writing and undertake scientific publications on a small scale. One of the learning strategies that can drive the achievement of learning outcomes in this course is Research-Based Learning. Research-Based Learning principles are considered in accordance with learning outcomes in Biology Seminar courses and generally in accordance with the purpose of higher education. On this basis, this article which is derived from a qualitative research aims at describing Research-based Learning on Biology Seminar course. Based on a case study research, it was known that Research-Based Learning on Biology Seminar courses is applied through: designing learning activities around contemporary research issues; teaching research methods, techniques and skills explicitly within program; drawing on personal research in designing and teaching courses; building small-scale research activities into undergraduate assignment; and infusing teaching with the values of researchers.

A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition.

PubMed

Saez, Yago; Baldominos, Alejandro; Isasi, Pedro

2016-12-30

Physical activity is widely known to be one of the key elements of a healthy life. The many benefits of physical activity described in the medical literature include weight loss and reductions in the risk factors for chronic diseases. With the recent advances in wearable devices, such as smartwatches or physical activity wristbands, motion tracking sensors are becoming pervasive, which has led to an impressive growth in the amount of physical activity data available and an increasing interest in recognizing which specific activity a user is performing. Moreover, big data and machine learning are now cross-fertilizing each other in an approach called "deep learning", which consists of massive artificial neural networks able to detect complicated patterns from enormous amounts of input data to learn classification models. This work compares various state-of-the-art classification techniques for automatic cross-person activity recognition under different scenarios that vary widely in how much information is available for analysis. We have incorporated deep learning by using Google's TensorFlow framework. The data used in this study were acquired from PAMAP2 (Physical Activity Monitoring in the Ageing Population), a publicly available dataset containing physical activity data. To perform cross-person prediction, we used the leave-one-subject-out (LOSO) cross-validation technique. When working with large training sets, the best classifiers obtain very high average accuracies (e.g., 96% using extra randomized trees). However, when the data volume is drastically reduced (where available data are only 0.001% of the continuous data), deep neural networks performed the best, achieving 60% in overall prediction accuracy. We found that even when working with only approximately 22.67% of the full dataset, we can statistically obtain the same results as when working with the full dataset. This finding enables the design of more energy-efficient devices and facilitates cold starts and big data processing of physical activity records.

Imagery mnemonics and memory remediation.

PubMed

Richardson, J T

1992-02-01

This paper evaluates the claim that imagery mnemonic techniques are useful in remediation of memory disorders in brain-damaged patients. Clinical research has confirmed that such techniques can lead to improved performance on formal testing in a number of neurologic disease populations and following lesions of either the left or right hemisphere. However, those patients with more severe forms of amnesia and those with medial or bilateral damage do not improve unless the learning task is highly structured. Even among patients who show improvement on formal testing, there is little evidence that they maintain the use of these techniques in similar learning tasks or generalize the use to new learning situations. Imagery mnemonics also appear to be of little practical value in the daily activities that are of most concern to brain-damaged patients themselves. The effectiveness of imagery mnemonics appears to depend upon the patients' motivation and insight rather than upon their intelligence or educational level. Instead of training patients in specific mnemonic techniques, clinicians should promote the development of "meta-cognitive" skills and the acquisition of knowledge about domains of practical significance.

Automated Inference of Chemical Discriminants of Biological Activity.

PubMed

Raschka, Sebastian; Scott, Anne M; Huertas, Mar; Li, Weiming; Kuhn, Leslie A

2018-01-01

Ligand-based virtual screening has become a standard technique for the efficient discovery of bioactive small molecules. Following assays to determine the activity of compounds selected by virtual screening, or other approaches in which dozens to thousands of molecules have been tested, machine learning techniques make it straightforward to discover the patterns of chemical groups that correlate with the desired biological activity. Defining the chemical features that generate activity can be used to guide the selection of molecules for subsequent rounds of screening and assaying, as well as help design new, more active molecules for organic synthesis.The quantitative structure-activity relationship machine learning protocols we describe here, using decision trees, random forests, and sequential feature selection, take as input the chemical structure of a single, known active small molecule (e.g., an inhibitor, agonist, or substrate) for comparison with the structure of each tested molecule. Knowledge of the atomic structure of the protein target and its interactions with the active compound are not required. These protocols can be modified and applied to any data set that consists of a series of measured structural, chemical, or other features for each tested molecule, along with the experimentally measured value of the response variable you would like to predict or optimize for your project, for instance, inhibitory activity in a biological assay or ΔG binding . To illustrate the use of different machine learning algorithms, we step through the analysis of a dataset of inhibitor candidates from virtual screening that were tested recently for their ability to inhibit GPCR-mediated signaling in a vertebrate.

The "Individualised Accounting Questions" Technique: Using Excel to Generate Quantitative Exercises for Large Classes with Unique Individual Answers

ERIC Educational Resources Information Center

Nnadi, Matthias; Rosser, Mike

2014-01-01

The "individualised accounting questions" (IAQ) technique set out in this paper encourages independent active learning. It enables tutors to set individualised accounting questions and construct an answer grid that can be used for any number of students, with numerical values for each student's answers based on their student enrolment…

Machine Learning in Intrusion Detection

DTIC Science & Technology

2005-07-01

machine learning tasks. Anomaly detection provides the core technology for a broad spectrum of security-centric applications. In this dissertation, we examine various aspects of anomaly based intrusion detection in computer security. First, we present a new approach to learn program behavior for intrusion detection. Text categorization techniques are adopted to convert each process to a vector and calculate the similarity between two program activities. Then the k-nearest neighbor classifier is employed to classify program behavior as normal or intrusive. We demonstrate

Caudate nucleus reactivity predicts perceptual learning rate for visual feature conjunctions.

PubMed

Reavis, Eric A; Frank, Sebastian M; Tse, Peter U

2015-04-15

Useful information in the visual environment is often contained in specific conjunctions of visual features (e.g., color and shape). The ability to quickly and accurately process such conjunctions can be learned. However, the neural mechanisms responsible for such learning remain largely unknown. It has been suggested that some forms of visual learning might involve the dopaminergic neuromodulatory system (Roelfsema et al., 2010; Seitz and Watanabe, 2005), but this hypothesis has not yet been directly tested. Here we test the hypothesis that learning visual feature conjunctions involves the dopaminergic system, using functional neuroimaging, genetic assays, and behavioral testing techniques. We use a correlative approach to evaluate potential associations between individual differences in visual feature conjunction learning rate and individual differences in dopaminergic function as indexed by neuroimaging and genetic markers. We find a significant correlation between activity in the caudate nucleus (a component of the dopaminergic system connected to visual areas of the brain) and visual feature conjunction learning rate. Specifically, individuals who showed a larger difference in activity between positive and negative feedback on an unrelated cognitive task, indicative of a more reactive dopaminergic system, learned visual feature conjunctions more quickly than those who showed a smaller activity difference. This finding supports the hypothesis that the dopaminergic system is involved in visual learning, and suggests that visual feature conjunction learning could be closely related to associative learning. However, no significant, reliable correlations were found between feature conjunction learning and genotype or dopaminergic activity in any other regions of interest. Copyright © 2015 Elsevier Inc. All rights reserved.

Outdoor Biology Instructional Strategies Trial Edition. Set I.

ERIC Educational Resources Information Center

Fairwell, Kay, Ed.; And Others

The Outdoor Biology Instructional Strategies (OBIS) Trial Edition Set I contains 24 varied activities which make use of crafts, simulations, and basic investigative techniques to provide introductory learning experiences in outdoor biology for children aged 10 to 15. The individual water-resistant folio for each activity includes biological…

Transition Time: Make It a Learning Time.

ERIC Educational Resources Information Center

Baker, Betty Ruth

Teacher selection and planning of appropriate transition activities for preschool age children is discussed in this paper. Teachers are encouraged to use transition time to provide an opportunity for imaginative and creative thinking and to avoid tedious waiting and chaos. Transition activities can be used as a teaching technique to prepare…

Earth Science Activities: A Guide to Effective Elementary School Science Teaching.

ERIC Educational Resources Information Center

Kanis, Ira B.; Yasso, Warren E.

The primary emphasis of this book is on new or revised earth science activities that promote concept development rather than mere verification of concepts learned by passive means. Chapter 2 describes philosophies, strategies, methods, and techniques to guide preservice and inservice teachers, school building administrators, and curriculum…

Beyond Ethical Frameworks: Using Moral Experimentation in the Engineering Ethics Classroom.

PubMed

Walling, Olivia

2015-12-01

Although undergraduate engineering ethics courses often include the development of moral sensitivity as a learning objective and the use of active learning techniques, teaching centers on the transmission of cognitive knowledge. This article describes a complementary assignment asking students to perform an ethics "experiment" on themselves that has a potential to enhance affective learning and moral imagination. The article argues that the focus on cognitive learning may not promote, and may even impair, our efforts to foster moral sensitivity. In contrast, the active learning assignments and exercises, like the ethics "experiment" discussed, offer great potential to expand the scope of instruction in engineering ethics to include ethical behavior as well as knowledge. Engineering ethics education needs to extend beyond the narrow range of human action associated with the technical work of the engineer and explore ways to draw on broader lifeworld experiences to enrich professional practice and identity.

Query-based learning for aerospace applications.

PubMed

Saad, E W; Choi, J J; Vian, J L; Wunsch, D C Ii

2003-01-01

Models of real-world applications often include a large number of parameters with a wide dynamic range, which contributes to the difficulties of neural network training. Creating the training data set for such applications becomes costly, if not impossible. In order to overcome the challenge, one can employ an active learning technique known as query-based learning (QBL) to add performance-critical data to the training set during the learning phase, thereby efficiently improving the overall learning/generalization. The performance-critical data can be obtained using an inverse mapping called network inversion (discrete network inversion and continuous network inversion) followed by oracle query. This paper investigates the use of both inversion techniques for QBL learning, and introduces an original heuristic to select the inversion target values for continuous network inversion method. Efficiency and generalization was further enhanced by employing node decoupled extended Kalman filter (NDEKF) training and a causality index (CI) as a means to reduce the input search dimensionality. The benefits of the overall QBL approach are experimentally demonstrated in two aerospace applications: a classification problem with large input space and a control distribution problem.

Using Technology to Facilitate and Enhance Project-based Learning in Mathematical Physics

NASA Astrophysics Data System (ADS)

Duda, Gintaras

2011-04-01

Problem-based and project-based learning are two pedagogical techniques that have several clear advantages over traditional instructional methods: 1) both techniques are active and student centered, 2) students confront real-world and/or highly complex problems, and 3) such exercises model the way science and engineering are done professionally. This talk will present an experiment in project/problem-based learning in a mathematical physics course. The group project in the course involved modeling a zombie outbreak of the type seen in AMC's ``The Walking Dead.'' Students researched, devised, and solved their mathematical models for the spread of zombie-like infection. Students used technology in all stages; in fact, since analytical solutions to the models were often impossible, technology was a necessary and critical component of the challenge. This talk will explore the use of technology in general in problem and project-based learning and will detail some specific examples of how technology was used to enhance student learning in this course. A larger issue of how students use the Internet to learn will also be explored.

Teaching massage to nursing students of geriatrics through active learning.

PubMed

Adler, Patricia A

2009-03-01

The use of massage in nursing practice has declined through the years in favor of high-tech interventions. This article describes a project using active learning to teach nursing students massage with dementia residents in assisted living. Students participated in a workshop to practice basic relaxation massage techniques with the guidance of their clinical instructor and then provided massages to resident volunteers. Afterward, students discussed their experience and completed a resident assessment form. The students requested more such activities, and the residents and facility management invited the students to return for another session. The instructor observed growth in the students' assessment skills and in their confidence. Use of massage to teach nursing students how to care for and relate to older adults with cognitive impairment is recommended. Further research is needed on the use of massage as an active learning method for nursing students in long-term care.

MO-E-18C-03: Incorporating Active Learning Into A Traditional Graduate Medical Physics Course

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

Burmeister, J

Purpose: To improve the ability of graduate students to learn medical physics concepts through the incorporation of active learning techniques. Methods: A traditional lecture-based radiological physics course was modified such that: (1) traditional (two-hour) lectures were provided online for students to watch prior to class, (2) a student was chosen randomly at the start of each class to give a two minute synopsis of the material and its relevance (two-minute drill), (3) lectures were significantly abbreviated and remaining classroom time used for group problem solving, and (4) videos of the abbreviated lectures were made available online for review. In themore » transition year, students were surveyed about the perceived effects of these changes on learning. Student performance was evaluated for 3 years prior to and 4 years after modification. Results: The survey tool used a five point scale from 1=Not True to 5=Very True. While nearly all students reviewed written materials prior to class (4.3±0.9), a minority watched the lectures (2.1±1.5). A larger number watched the abbreviated lectures for further clarification (3.6±1.6) and found it helpful in learning the content (4.2±1.0). Most felt that the two-minute drill helped them get more out of the lecture (3.9±0.8) and the problem solving contributed to their understanding of the content (4.1±0.8). However, no significant improvement in exam scores resulted from the modifications (mean scores well within 1 SD during study period). Conclusion: Students felt that active learning techniques improved their ability to learn the material in what is considered the most difficult course in the program. They valued the ability to review the abbreviated class lecture more than the opportunity to watch traditional lectures prior to class. While no significant changes in student performance were observed, aptitude variations across the student cohorts make it difficult to draw conclusions about the effectiveness of active learning.« less

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.

Lifelong learning in nursing: a Delphi study.

PubMed

Davis, Lisa; Taylor, Heidi; Reyes, Helen

2014-03-01

In order to foster a culture of lifelong learning in nursing, it is important to identify what the concept means in the nursing profession as well as the characteristics of a lifelong learner. The purpose of this Delphi study was to conceptualize lifelong learning from the perspective of nursing, and to identify characteristics and essential elements of lifelong learning. A Delphi Study technique in three phases was completed using an online survey tool. Data were analyzed for conceptual description, ratings of characteristics and attributes, and expert consensus in these three phases. An online survey tool was used in this study. Recognized experts in nursing education, administration and public policy participated in this study. Lifelong learning in nursing is defined as a dynamic process, which encompasses both personal and professional life. This learning process is also both formal and informal. Lifelong learning involves seeking and appreciating new worlds or ideas in order to gain a new perspective as well as questioning one's environment, knowledge, skills and interactions. The most essential characteristics of a lifelong learner are reflection, questioning, enjoying learning, understanding the dynamic nature of knowledge, and engaging in learning by actively seeking learning opportunities. Keeping the mind active is essential to both lifelong learning and being able to translate knowledge into the capacity to deliver high quality nursing care. It is hoped that a clearer understanding of lifelong learning in nursing will foster more discussion and research about intentional, active inclusion of lifelong learning behaviors in nursing curricula. Copyright © 2013 Elsevier Ltd. All rights reserved.

Genome scale enzyme–metabolite and drug–target interaction predictions using the signature molecular descriptor

DOE PAGES

Faulon, Jean-Loup; Misra, Milind; Martin, Shawn; ...

2007-11-23

Motivation: Identifying protein enzymatic or pharmacological activities are important areas of research in biology and chemistry. Biological and chemical databases are increasingly being populated with linkages between protein sequences and chemical structures. Additionally, there is now sufficient information to apply machine-learning techniques to predict interactions between chemicals and proteins at a genome scale. Current machine-learning techniques use as input either protein sequences and structures or chemical information. We propose here a method to infer protein–chemical interactions using heterogeneous input consisting of both protein sequence and chemical information. Results: Our method relies on expressing proteins and chemicals with a common cheminformaticsmore » representation. We demonstrate our approach by predicting whether proteins can catalyze reactions not present in training sets. We also predict whether a given drug can bind a target, in the absence of prior binding information for that drug and target. Lastly, such predictions cannot be made with current machine-learning techniques requiring binding information for individual reactions or individual targets.« less

The Application of the Microgenetic Method to Studies of Learning in Science Education: Characteristics of Published Studies, Methodological Issues and Recommendations for Future Research

ERIC Educational Resources Information Center

Brock, Richard; Taber, Keith S.

2017-01-01

This paper examines the role of the microgenetic method in science education. The microgenetic method is a technique for exploring the progression of learning in detail through repeated, high-frequency observations of a learner's "performance" in some activity. Existing microgenetic studies in science education are analysed. This leads…

Teaching English through Action: Total Physical Response (T.P.R.). A Right-Brain/Left-Brain Approach to Language Acquisition. A Workshop.

ERIC Educational Resources Information Center

Segal, Bertha E.

Materials from a teacher workshop on the Total Physical Response method for teaching English as a second language are presented. The technique describes the process of first language acquisition, uses physical activities in the classroom to reinforce learning, and allows a long period of receptive language learning before requiring production. The…

Effect of 5E Learning Model on Academic Achievement, Attitude and Science Process Skills: Meta-Analysis Study

ERIC Educational Resources Information Center

Cakir, Nevin Kozcu

2017-01-01

Today, with the development of science and technology and its rapid progress, the importance attached to science education has increased. This increase in interest has led to the development of the methods, techniques, and approaches that enable the students to be active, question and construct knowledge. The 5E learning model is one of them, and…

The Power of Doing: A Learning Exercise That Brings the Central Limit Theorem to Life

ERIC Educational Resources Information Center

Price, Barbara A.; Zhang, Xiaolong

2007-01-01

This article demonstrates an active learning technique for teaching the Central Limit Theorem (CLT) in an introductory undergraduate business statistics class. Groups of students carry out one of two experiments in the lab, tossing a die in sets of 5 rolls or tossing a die in sets of 10 rolls. They are asked to calculate the sample average of each…

Activating the Worker in Elderly Care: A Technique and Tactics of Invitation

ERIC Educational Resources Information Center

Fejes, A.; Nicoll, K.

2011-01-01

Relatively little attention has been paid to questions of how language acts in and through the interactions of language in situations where people are encouraged to learn to be active in contexts of work. This paper argues that detailed analysis is needed to understand how activation through language acts in the shaping and governing of workers.…

Tools for Activating Materials and Tasks in the English Language Classroom

ERIC Educational Resources Information Center

Rosenberg, Rick

2009-01-01

Most teachers have seen the reactions students can have to tasks and activities that they do not find engaging: the glassy or rolling eyes, the unfocused behavior, and the cries of "Not again!" This article provides practical techniques that the author's students have helped him learn over the years to better "activate" materials and tasks in the…

Smart Training, Smart Learning: The Role of Cooperative Learning in Training for Youth Services.

ERIC Educational Resources Information Center

Doll, Carol A.

1997-01-01

Examines cooperative learning in youth services and adult education. Discusses characteristics of cooperative learning techniques; specific cooperative learning techniques (brainstorming, mini-lecture, roundtable technique, send-a-problem problem solving, talking chips technique, and three-step interview); and the role of the trainer. (AEF)

Learning Science Using AR Book: A Preliminary Study on Visual Needs of Deaf Learners

NASA Astrophysics Data System (ADS)

Megat Mohd. Zainuddin, Norziha; Badioze Zaman, Halimah; Ahmad, Azlina

Augmented Reality (AR) is a technology that is projected to have more significant role in teaching and learning, particularly in visualising abstract concepts in the learning process. AR is a technology is based on visually oriented technique. Thus, it is suitable for deaf learners since they are generally classified as visual learners. Realising the importance of visual learning style for deaf learners in learning Science, this paper reports on a preliminary study of on an ongoing research on problems faced by deaf learners in learning the topic on Microorganisms. Being visual learners, they have problems with current text books that are more text-based that graphic based. In this preliminary study, a qualitative approach using the ethnographic observational technique was used so that interaction with three deaf learners who are participants throughout this study (they are also involved actively in the design and development of the AR Book). An interview with their teacher and doctor were also conducted to identify their learning and medical problems respectively. Preliminary findings have confirmed the need to design and develop a special Augmented Reality Book called AR-Science for Deaf Learners (AR-SiD).

[Integration of the Internet into medical education].

PubMed

Taradi, Suncana Kukolja

2002-01-01

The Internet promises dramatic changes in the way we learn and teach, the way we interact as a society. Networked technologies introduce interactivity and multimedia into the educational process. The student of the 21st century will use his/her PC as a learning station, as a tutoring system, as an information provider and as a communication center. Therefore the passive classroom (teacher-centered teaching) will evolve into active studio learning (student-centered learning). This will be achieved by new teaching techniques and standards of quality. The role of the new generation of educators is to create exploratory learning environments that offer a wide range of views on many subject areas and encourage active lifelong learning. This will be achieved by 1) placing courseware on the web where it can be accessed by remote students and by 2) finding and reviewing teaching materials obtained from www for possible integration into the local lecture material. The paper suggests strategies for introducing medical educators to networked teaching.

Nursing and midwifery students' experiences with the course of infertility and assisted reproductive techniques: A focus group study from Turkey.

PubMed

Isbir, Gozde Gokçe; Ozan, Yeter Durgun

2018-01-01

Nurses and midwifes without sufficient knowledge of infertilitare not likely to provide counseling and support for people suffering from infertility. This study aimed to evaluate nursing and midwifery students' experiences with the Course on Infertility and Assisted Reproductive Techniques. Our study had a qualitative descriptive design. Total number of the participants was 75. The analysis revealed five primary themes and twenty-one sub-themes. The themes were (1) action, (2) learner centered method, (3) interaction, (4) nursing competencies, and (5) evaluation. The active learning techniques enabled the students to retrieve the knowledge that they obtained for a long time, contributed to social and cultural development and improved skills required for selfevaluation, communication and leadership, enhanced critical thinking, skills increased motivation and satisfaction and helped with knowledge integration. Infertility is a biopsychosocial condition, and it may be difficult for students to understand what infertile individuals experience. The study revealed that active learning techniques enabled the students to acquire not only theoretical knowledge but also an emotional and psychosocial viewpoint and attitude regarding infertility. The content of an infertility course should be created in accordance with changes in the needs of a given society and educational techniques. Copyright © 2017 Elsevier Ltd. All rights reserved.

Student knowledge and confidence in an elective clinical toxicology course using active-learning techniques.

PubMed

Thomas, Michael C; Macias-Moriarity, Liliairica Z

2014-06-17

To measure changes in students' knowledge and confidence scores after completing an elective clinical toxicology course in an accelerated doctor of pharmacy (PharmD) program. Various active-learning techniques were used to create a learner-centered environment. Approximately two-thirds of the course used student-led presentations. Some of those not presenting were assigned to be evaluators, responsible for asking the presenter a question or writing quiz questions based on the presented material. Other learner-centered activities included weekly quizzes and discussions at the conclusion of each presented topic. A test instrument designed to measure students' knowledge and associated level of confidence on each item was administered at the beginning and end of the course. Students' knowledge and confidence scores increased significantly from pretest to posttest. Students' increased confidence and knowledge scores were well correlated after course completion, indicating students were better able to self-assess these areas. These findings suggest that confidence could be an additional measure of students' metacognitive skill development.

Exploring Oil Pollution

ERIC Educational Resources Information Center

Rillo, Thomas J.

1974-01-01

Discusses damages of oil tanker spillage to the marine organisms and scientists' research in oil pollution removal techniques. Included is a list of learning activities concerning the causes and effects of oil pollution and methods of solving the problem. (CC)

Teacher’s Perception about the Use of E-Learning/Edmodo in Educational Activities

NASA Astrophysics Data System (ADS)

Yanti, H.; Setiawan, A.; Nurhabibah; Yannuar

2018-02-01

This study examined the perception of the teachers about the use of e- learning/Edmodo in their educational activities. The teachers consist of diverse subject. Their perceptions were investigated in terms of three aspects: effects of the use of this technology on their perceived motivation, the perceived usefulness and the perceived ease of use of this technology. Edmodo was set up a Learning Management System (LMS) in an online discussion group of subject. The study was conducted in descriptive method. The data were collected by using a questionnaire, interview, and documentation technique. The findings of the study indicated that the teachers perceived that e-learning/Edmodo is a useful and also easy to use technology. It was found out that the teachers are satisfied with advantages of the use of this new technology in their LMS.

Learning of serial digits leads to frontal activation in functional MR imaging.

PubMed

Karakaş, Hakki Muammer; Karakaş, Sirel

2006-03-01

Clinical studies have shown that performance on the serial digit learning test (SDLT) is dependent upon the mesial temporal lobes, which are responsible for learning and its consolidation. However, an effective SDLT performance is also dependent upon sequencing, temporal ordering, and the utilization of mnemonic strategies. All of these processes are among the functions of the frontal lobes; in spite of this, the relationship between SDLT performance and the frontal lobes has not been demonstrated with previously used mapping techniques. The aim of this study was to investigate the areas of the brain that are activated by SDLT performance. Ten healthy, right handed volunteers (mean age, 20.1 years; SD: 3.3) who had 12 years of education were studied with a 1.0 T MR imaging scanner. BOLD (blood oxygen level dependent) contrast and a modified SDLT were used. Activated loci were automatically mapped using a proportional grid. In learning, the most consistent activation was observed in B-a-7 of the right (80%) and the left hemispheres (50%). In recall, the most consistent activation was observed in B-a-7 of the right hemisphere (60%). Activations were observed in 2.5+/-0.97 Talairach volumes in learning, whereas they encompassed 1.7+/-0.95 volumes in recall. The difference between both phases (learning and recall) regarding total activated volume was significant (p < 0.05). The prefrontal activation during SDLT performance was not related to learning or to recall, but to a function that is common to both of these cognitive processes. A candidate for this common factor may be the executive functions, which also include serial position processing and temporal ordering.

Molecular Cloning and Analysis of a DNA Repetitive Element from the Mouse Genome

ERIC Educational Resources Information Center

Geisinger, Adriana; Cossio, Gabriela; Wettstein, Rodolfo

2006-01-01

We report the development of a 3-week laboratory activity for an undergraduate molecular biology course. This activity introduces students to the practice of basic molecular techniques such as restriction enzyme digestion, agarose gel electrophoresis, cloning, plasmid DNA purification, Southern blotting, and sequencing. Students learn how to carry…

Techniques for Using Humor and Fun in the Language Arts Classroom

ERIC Educational Resources Information Center

Minchew, Sue S.; Hopper, Peggy F.

2008-01-01

The authors, former middle and high school English teachers, review the rationale for using humor and fun in the classroom and provide detailed descriptions for teaching practices and activities that confer enjoyment and learning for language arts students. Although fun activities, these methods foster vocabulary development, grammar instruction,…

Using Perfusion fMRI to Measure Continuous Changes in Neural Activity with Learning

ERIC Educational Resources Information Center

Olson, Ingrid R.; Rao, Hengyi; Moore, Katherine Sledge; Wang, Jiongjiong; Detre, John A.; Aguirre, Geoffrey K.

2006-01-01

In this study, we examine the suitability of a relatively new imaging technique, "arterial spin labeled perfusion imaging," for the study of continuous, gradual changes in neural activity. Unlike BOLD imaging, the perfusion signal is stable over long time-scales, allowing for accurate assessment of continuous performance. In addition, perfusion…

Experiential Activities for Intercultural Learning. Volume 1.

ERIC Educational Resources Information Center

Seelye, H. Ned, Ed.

The need for new approaches, methods, and techniques in cross-cultural training and intercultural education is paramount. This collection of more than 30 exercises and activities aims to help begin a regular flow of materials into the stream of resources available to professionals in the intercultural field. The emphasis in the collection's first…

Integration through a Card-Sort Activity

ERIC Educational Resources Information Center

Green, Kris; Ricca, Bernard P.

2015-01-01

Learning to compute integrals via the various techniques of integration (e.g., integration by parts, partial fractions, etc.) is difficult for many students. Here, we look at how students in a college level Calculus II course develop the ability to categorize integrals and the difficulties they encounter using a card sort-resort activity. Analysis…

Cybernated Storytelling: Revitalising Storytelling Activities for Secondary School Students

ERIC Educational Resources Information Center

Rosli, Roziana M.; Idrus, Faizah

2017-01-01

Storytelling is one of the most common activities used in teaching English proficiency to language students. It is widely accepted as a teaching technique by many educators because it engages students in learning. This study seeks to examine students' readiness in using technology-aided applications in telling their stories. It also investigates…

Dropout Prediction in E-Learning Courses through the Combination of Machine Learning Techniques

ERIC Educational Resources Information Center

Lykourentzou, Ioanna; Giannoukos, Ioannis; Nikolopoulos, Vassilis; Mpardis, George; Loumos, Vassili

2009-01-01

In this paper, a dropout prediction method for e-learning courses, based on three popular machine learning techniques and detailed student data, is proposed. The machine learning techniques used are feed-forward neural networks, support vector machines and probabilistic ensemble simplified fuzzy ARTMAP. Since a single technique may fail to…

Identifying key features of effective active learning: the effects of writing and peer discussion.

PubMed

Linton, Debra L; Pangle, Wiline M; Wyatt, Kevin H; Powell, Karli N; Sherwood, Rachel E

2014-01-01

We investigated some of the key features of effective active learning by comparing the outcomes of three different methods of implementing active-learning exercises in a majors introductory biology course. Students completed activities in one of three treatments: discussion, writing, and discussion + writing. Treatments were rotated weekly between three sections taught by three different instructors in a full factorial design. The data set was analyzed by generalized linear mixed-effect models with three independent variables: student aptitude, treatment, and instructor, and three dependent (assessment) variables: change in score on pre- and postactivity clicker questions, and coding scores on in-class writing and exam essays. All independent variables had significant effects on student performance for at least one of the dependent variables. Students with higher aptitude scored higher on all assessments. Student scores were higher on exam essay questions when the activity was implemented with a writing component compared with peer discussion only. There was a significant effect of instructor, with instructors showing different degrees of effectiveness with active-learning techniques. We suggest that individual writing should be implemented as part of active learning whenever possible and that instructors may need training and practice to become effective with active learning. © 2014 D. L. Linton et al. CBE—Life Sciences Education © 2014 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

A machine learning approach to computer-aided molecular design

NASA Astrophysics Data System (ADS)

Bolis, Giorgio; Di Pace, Luigi; Fabrocini, Filippo

1991-12-01

Preliminary results of a machine learning application concerning computer-aided molecular design applied to drug discovery are presented. The artificial intelligence techniques of machine learning use a sample of active and inactive compounds, which is viewed as a set of positive and negative examples, to allow the induction of a molecular model characterizing the interaction between the compounds and a target molecule. The algorithm is based on a twofold phase. In the first one — the specialization step — the program identifies a number of active/inactive pairs of compounds which appear to be the most useful in order to make the learning process as effective as possible and generates a dictionary of molecular fragments, deemed to be responsible for the activity of the compounds. In the second phase — the generalization step — the fragments thus generated are combined and generalized in order to select the most plausible hypothesis with respect to the sample of compounds. A knowledge base concerning physical and chemical properties is utilized during the inductive process.

Brain mapping in cognitive disorders: a multidisciplinary approach to learning the tools and applications of functional neuroimaging

PubMed Central

Kelley, Daniel J; Johnson, Sterling C

2007-01-01

Background With rapid advances in functional imaging methods, human studies that feature functional neuroimaging techniques are increasing exponentially and have opened a vast arena of new possibilities for understanding brain function and improving the care of patients with cognitive disorders in the clinical setting. There is a growing need for medical centers to offer clinically relevant functional neuroimaging courses that emphasize the multifaceted and multidisciplinary nature of this field. In this paper, we describe the implementation of a functional neuroimaging course focusing on cognitive disorders that might serve as a model for other medical centers. We identify key components of an active learning course design that impact student learning gains in methods and issues pertaining to functional neuroimaging that deserve consideration when optimizing the medical neuroimaging curriculum. Methods Learning gains associated with the course were assessed using polychoric correlation analysis of responses to the SALG (Student Assessment of Learning Gains) instrument. Results Student gains in the functional neuroimaging of cognition as assessed by the SALG instrument were strongly associated with several aspects of the course design. Conclusion Our implementation of a multidisciplinary and active learning functional neuroimaging course produced positive learning outcomes. Inquiry-based learning activities and an online learning environment contributed positively to reported gains. This functional neuroimaging course design may serve as a useful model for other medical centers. PMID:17953758

Learning Extended Finite State Machines

NASA Technical Reports Server (NTRS)

Cassel, Sofia; Howar, Falk; Jonsson, Bengt; Steffen, Bernhard

2014-01-01

We present an active learning algorithm for inferring extended finite state machines (EFSM)s, combining data flow and control behavior. Key to our learning technique is a novel learning model based on so-called tree queries. The learning algorithm uses the tree queries to infer symbolic data constraints on parameters, e.g., sequence numbers, time stamps, identifiers, or even simple arithmetic. We describe sufficient conditions for the properties that the symbolic constraints provided by a tree query in general must have to be usable in our learning model. We have evaluated our algorithm in a black-box scenario, where tree queries are realized through (black-box) testing. Our case studies include connection establishment in TCP and a priority queue from the Java Class Library.

Recruitment Techniques and Strategies in a Community-Based Colorectal Cancer Screening Study of Men and Women of African Ancestry.

PubMed

Davis, Stacy N; Govindaraju, Swapamthi; Jackson, Brittany; Williams, Kimberly R; Christy, Shannon M; Vadaparampil, Susan T; Quinn, Gwendolyn P; Shibata, David; Roetzheim, Richard; Meade, Cathy D; Gwede, Clement K

Recruiting ethnically diverse Black participants to an innovative, community-based research study to reduce colorectal cancer screening disparities requires multipronged recruitment techniques. This article describes active, passive, and snowball recruitment techniques, and challenges and lessons learned in recruiting a diverse sample of Black participants. For each of the three recruitment techniques, data were collected on strategies, enrollment efficiency (participants enrolled/participants evaluated), and reasons for ineligibility. Five hundred sixty individuals were evaluated, and 330 individuals were enrolled. Active recruitment yielded the highest number of enrolled participants, followed by passive and snowball. Snowball recruitment was the most efficient technique, with enrollment efficiency of 72.4%, followed by passive (58.1%) and active (55.7%) techniques. There were significant differences in gender, education, country of origin, health insurance, and having a regular physician by recruitment technique (p < .05). Multipronged recruitment techniques should be employed to increase reach, diversity, and study participation rates among Blacks. Although each recruitment technique had a variable enrollment efficiency, the use of multipronged recruitment techniques can lead to successful enrollment of diverse Blacks into cancer prevention and control interventions.

Machine learning of molecular properties: Locality and active learning

NASA Astrophysics Data System (ADS)

Gubaev, Konstantin; Podryabinkin, Evgeny V.; Shapeev, Alexander V.

2018-06-01

In recent years, the machine learning techniques have shown great potent1ial in various problems from a multitude of disciplines, including materials design and drug discovery. The high computational speed on the one hand and the accuracy comparable to that of density functional theory on another hand make machine learning algorithms efficient for high-throughput screening through chemical and configurational space. However, the machine learning algorithms available in the literature require large training datasets to reach the chemical accuracy and also show large errors for the so-called outliers—the out-of-sample molecules, not well-represented in the training set. In the present paper, we propose a new machine learning algorithm for predicting molecular properties that addresses these two issues: it is based on a local model of interatomic interactions providing high accuracy when trained on relatively small training sets and an active learning algorithm of optimally choosing the training set that significantly reduces the errors for the outliers. We compare our model to the other state-of-the-art algorithms from the literature on the widely used benchmark tests.

Neuroimaging of Fear-Associated Learning

PubMed Central

Greco, John A; Liberzon, Israel

2016-01-01

Fear conditioning has been commonly used as a model of emotional learning in animals and, with the introduction of functional neuroimaging techniques, has proven useful in establishing the neurocircuitry of emotional learning in humans. Studies of fear acquisition suggest that regions such as amygdala, insula, anterior cingulate cortex, and hippocampus play an important role in acquisition of fear, whereas studies of fear extinction suggest that the amygdala is also crucial for safety learning. Extinction retention testing points to the ventromedial prefrontal cortex as an essential region in the recall of the safety trace, and explicit learning of fear and safety associations recruits additional cortical and subcortical regions. Importantly, many of these findings have implications in our understanding of the pathophysiology of psychiatric disease. Recent studies using clinical populations have lent insight into the changes in regional activity in specific disorders, and treatment studies have shown how pharmaceutical and other therapeutic interventions modulate brain activation during emotional learning. Finally, research investigating individual differences in neurotransmitter receptor genotypes has highlighted the contribution of these systems in fear-associated learning. PMID:26294108

Didactical Design Material Units of Distance and Speed to Developed Mathematical Connection in Elementary School

NASA Astrophysics Data System (ADS)

Jannah, R. R.; Apriliya, S.; Karlimah

2017-03-01

This study aims to develop alternative instructional design based of barriers learning which identified by developing mathematical connection capabilities to the material unit of distance and speed. The research was conducted in the fifth grade elementary school Instructional design is complemented with a hypothetical learning trajectory in the form of a pedagogical didactic anticipation. The method used is descriptive method with qualitative approach. Techniques data collection used were observation, interviews, and documentation. The instrument used the researchers themselves are equipped with an instrument written test. The data were analyzed qualitatively to determine the student learning obstacles, then arrange hypothetical learning trajectory and pedagogical didactic anticipation. Learning obstacle are identified, it is learning obstacle related the connections between mathematical topics, learning obstacle related with other disciplines, and learning obstacle related with everyday life. The results of this research are improvement and development of didactic design in mathematics which has activities mathematical connection to the material unit of distance and speed in elementary school. The learning activities are carried out is using varied methods include method lectures, demonstrations, practice and exercise, as well as using the modified instructional media.

Environmental Sense Box: A Strategy for Helping Elementary School Students Understand Abstract Environments through Concrete Learning Activities.

ERIC Educational Resources Information Center

Sesow, F. Wm.

This paper suggests a technique for the development, collection, and organization of materials that will aid learning through the use of the senses by building an environmental sense box. England is used as an example of a place that provides many sensory experiences which can be duplicated in such a box. The box can be made from a cardboard…

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: Special approach/docking testcase results

NASA Technical Reports Server (NTRS)

Jani, Yashvant

1993-01-01

As part of the RICIS project, the reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Maximum Mission (SMM) satellite simulation. In utilizing these fuzzy learning techniques, we use the Approximate Reasoning based Intelligent Control (ARIC) architecture, and so we use these two terms interchangeably to imply the same. This activity is carried out in the Software Technology Laboratory utilizing the Orbital Operations Simulator (OOS) and programming/testing support from other contractor personnel. This report is the final deliverable D4 in our milestones and project activity. It provides the test results for the special testcase of approach/docking scenario for the shuttle and SMM satellite. Based on our experience and analysis with the attitude and translational controllers, we have modified the basic configuration of the reinforcement learning algorithm in ARIC. The shuttle translational controller and its implementation in ARIC is described in our deliverable D3. In order to simulate the final approach and docking operations, we have set-up this special testcase as described in section 2. The ARIC performance results for these operations are discussed in section 3 and conclusions are provided in section 4 along with the summary for the project.

Interactive Distance Education: Improvisation Helps Bridge the Gap.

ERIC Educational Resources Information Center

Yucha, Carolyn B.

1996-01-01

Describes distance learning through the use of interactive duplex video and audio. Improvisation techniques force active participation by students. Addresses faculty concerns about the interrelationships between instructor and students and among students in distance education environments. (MKR)

Preservice Teachers in Secondary Social Studies: Examining Conceptions and Practices.

ERIC Educational Resources Information Center

Wilson, Elizabeth K.; And Others

1994-01-01

Reports on a study of 11 preservice teachers' beliefs and practices about secondary social studies education. Finds that the preservice teachers held positive conceptions about social studies, stressing active learning techniques and knowledge construction. (ACM)

Characterizing Interference in Radio Astronomy Observations through Active and Unsupervised Learning

NASA Technical Reports Server (NTRS)

Doran, G.

2013-01-01

In the process of observing signals from astronomical sources, radio astronomers must mitigate the effects of manmade radio sources such as cell phones, satellites, aircraft, and observatory equipment. Radio frequency interference (RFI) often occurs as short bursts (< 1 ms) across a broad range of frequencies, and can be confused with signals from sources of interest such as pulsars. With ever-increasing volumes of data being produced by observatories, automated strategies are required to detect, classify, and characterize these short "transient" RFI events. We investigate an active learning approach in which an astronomer labels events that are most confusing to a classifier, minimizing the human effort required for classification. We also explore the use of unsupervised clustering techniques, which automatically group events into classes without user input. We apply these techniques to data from the Parkes Multibeam Pulsar Survey to characterize several million detected RFI events from over a thousand hours of observation.

Learning by Peers: An Alternative Learning Model for Digital Inclusion of Elderly People

NASA Astrophysics Data System (ADS)

de Sales, Márcia Barros; Silveira, Ricardo Azambuja; de Sales, André Barros; de Cássia Guarezi, Rita

This paper presents a model of digital inclusion for the elderly people, using learning by peers methodology. The model’s goal was valuing and promoting the potential capabilities of the elderly people by promoting some of them to instruct other elderly people to deal with computers and to use several software tools and internet services. The project involved 66 volunteering elderly people. However, 19 of them acted effectively as multipliers and the others as students. The process was observed through the empirical technique of interaction workshops. This technique was chosen for demanding direct participation of the people involved in real interaction. We worked with peer learning to facilitate the communication between elderly-learners and elderly-multipliers, due to the similarity in language, rhythm and life history, and because they felt more secure to develop the activities with people in their age group. This multiplying model can be used in centers, organizations and other entities that work with elderly people for their digital inclusion.

Analyzing the Effects of Various Concept Mapping Techniques on Learning Achievement under Different Learning Styles

ERIC Educational Resources Information Center

Chiou, Chei-Chang; Lee, Li-Tze; Tien, Li-Chu; Wang, Yu-Min

2017-01-01

This study explored the effectiveness of different concept mapping techniques on the learning achievement of senior accounting students and whether achievements attained using various techniques are affected by different learning styles. The techniques are computer-assisted construct-by-self-concept mapping (CACSB), computer-assisted…

Running Simulations without Ruining Your Life: Simple Ways to Incorporate Active Learning into Your Teaching

ERIC Educational Resources Information Center

Glazier, Rebecca A.

2011-01-01

Despite the growing availability and popularity of simulations and other active teaching techniques, many instructors may be deterred from using simulations because of the potentially high costs involved. Instructors could spend a preponderance of their time and resources developing and executing simulations, but such an approach is not necessary.…

Liebes Tagebuch: Abroad at Last, But Let Me Tell You "auf Deutsch."

ERIC Educational Resources Information Center

Duncan, Annelise M.

This paper describes techniques used by a German instructor with American students during a summer abroad program. Learning activities, both in and outside of class, concentrate on writing. The students keep logs and diaries, which force them to be aware of their surroundings and to participate more actively in the life around them. With the…

Successful Techniques of Vocabulary. ERIC Topical Bibliography and Commentary.

ERIC Educational Resources Information Center

Smith, Carl B., Ed.

Each teacher has a style of teaching that provides the most effective way to help students grasp the desired learning concepts. One point teachers agree on is that teaching vocabulary to children needs to be an active process that engages students in entertaining activities and helps them build a bridge between already known vocabulary and the new…

New Ways in Teaching Young Children. New Ways in TESOL Series II. Innovative Classroom Techniques.

ERIC Educational Resources Information Center

Schinke-Llano, Linda, Ed.; Rauff, Rebecca, Ed.

The collection of class activities for teaching English as a second language (ESL) to young children consists of ideas contributed by classroom teachers. The book is divided into 14 sections: (1) social interaction, including activities ranging from first-time classroom encounters to learning about and working with special-needs children; (2)…

What Works in My Classroom. Ideas for Content Design Team for the 1991 Foreign Language Professional Development Seminar.

ERIC Educational Resources Information Center

Perrine, Byron K.

Techniques learned in the Goethe-Institut German classroom in Germany, are described and recommended for American use, particularly the immersion approach and emphasis on variety in instructional activities. Other features are also discussed, including: the role of a teacher's willingness to provide multi-sensory activities, creative use of the…

Actively Engaging Students in Culture, Gender, and Class Issues in Medieval Literature

ERIC Educational Resources Information Center

Donnelly, Colleen E.

2017-01-01

Students often find it difficult to understand literature of another era and a world that differs from their own. From interacting with illuminated manuscript pages to conducting a mock trial, this article discusses ways in which visual and active learning techniques can be used to engage students in medieval literature and culture.

Overhauling Technical Handouts for Active Student Participation: A Model for Improving Lecture Efficiency and Increasing Attendance

ERIC Educational Resources Information Center

Jakee, Keith

2011-01-01

This instructional paper is intended to provide an alternative approach to developing lecture materials, including handouts and PowerPoint slides, successfully developed over several years. The principal objective is to aid in the bridging of traditional "chalk and talk" lecture approaches with more active learning techniques, especially in more…

Classification of Regional Ionospheric Disturbances Based on Support Vector Machines

NASA Astrophysics Data System (ADS)

Begüm Terzi, Merve; Arikan, Feza; Arikan, Orhan; Karatay, Secil

2016-07-01

Ionosphere is an anisotropic, inhomogeneous, time varying and spatio-temporally dispersive medium whose parameters can be estimated almost always by using indirect measurements. Geomagnetic, gravitational, solar or seismic activities cause variations of ionosphere at various spatial and temporal scales. This complex spatio-temporal variability is challenging to be identified due to extensive scales in period, duration, amplitude and frequency of disturbances. Since geomagnetic and solar indices such as Disturbance storm time (Dst), F10.7 solar flux, Sun Spot Number (SSN), Auroral Electrojet (AE), Kp and W-index provide information about variability on a global scale, identification and classification of regional disturbances poses a challenge. The main aim of this study is to classify the regional effects of global geomagnetic storms and classify them according to their risk levels. For this purpose, Total Electron Content (TEC) estimated from GPS receivers, which is one of the major parameters of ionosphere, will be used to model the regional and local variability that differs from global activity along with solar and geomagnetic indices. In this work, for the automated classification of the regional disturbances, a classification technique based on a robust machine learning technique that have found wide spread use, Support Vector Machine (SVM) is proposed. SVM is a supervised learning model used for classification with associated learning algorithm that analyze the data and recognize patterns. In addition to performing linear classification, SVM can efficiently perform nonlinear classification by embedding data into higher dimensional feature spaces. Performance of the developed classification technique is demonstrated for midlatitude ionosphere over Anatolia using TEC estimates generated from the GPS data provided by Turkish National Permanent GPS Network (TNPGN-Active) for solar maximum year of 2011. As a result of implementing the developed classification technique to the Global Ionospheric Map (GIM) TEC data which is provided by the NASA Jet Propulsion Laboratory (JPL), it will be shown that SVM can be a suitable learning method to detect the anomalies in Total Electron Content (TEC) variations. This study is supported by TUBITAK 114E541 project as a part of the Scientific and Technological Research Projects Funding Program (1001).

The influence of curricular and extracurricular learning activities on students' choice of chiropractic technique

PubMed Central

Sikorski, David M.; KizhakkeVeettil, Anupama; Tobias, Gene S.

2016-01-01

Objective: Surveys for the National Board of Chiropractic Examiners indicate that diversified chiropractic technique is the most commonly used chiropractic manipulation method. The study objective was to investigate the influences of our diversified core technique curriculum, a technique survey course, and extracurricular technique activities on students' future practice technique preferences. Methods: We conducted an anonymous, voluntary survey of 1st, 2nd, and 3rd year chiropractic students at our institution. Surveys were pretested for face validity, and data were analyzed using descriptive and inferential statistics. Results: We had 164 students (78% response rate) participate in the survey. Diversified was the most preferred technique for future practice by students, and more than half who completed the chiropractic technique survey course reported changing their future practice technique choice as a result. The students surveyed agreed that the chiropractic technique curriculum and their experiences with chiropractic practitioners were the two greatest bases for their current practice technique preference, and that their participation in extracurricular technique clubs and seminars was less influential. Conclusions: Students appear to have the same practice technique preferences as practicing chiropractors. The chiropractic technique curriculum and the students' experience with chiropractic practitioners seem to have the greatest influence on their choice of chiropractic technique for future practice. Extracurricular activities, including technique clubs and seminars, although well attended, showed a lesser influence on students' practice technique preferences. PMID:26655282

The influence of curricular and extracurricular learning activities on students' choice of chiropractic technique.

PubMed

Sikorski, David M; KizhakkeVeettil, Anupama; Tobias, Gene S

2016-03-01

Surveys for the National Board of Chiropractic Examiners indicate that diversified chiropractic technique is the most commonly used chiropractic manipulation method. The study objective was to investigate the influences of our diversified core technique curriculum, a technique survey course, and extracurricular technique activities on students' future practice technique preferences. We conducted an anonymous, voluntary survey of 1st, 2nd, and 3rd year chiropractic students at our institution. Surveys were pretested for face validity, and data were analyzed using descriptive and inferential statistics. We had 164 students (78% response rate) participate in the survey. Diversified was the most preferred technique for future practice by students, and more than half who completed the chiropractic technique survey course reported changing their future practice technique choice as a result. The students surveyed agreed that the chiropractic technique curriculum and their experiences with chiropractic practitioners were the two greatest bases for their current practice technique preference, and that their participation in extracurricular technique clubs and seminars was less influential. Students appear to have the same practice technique preferences as practicing chiropractors. The chiropractic technique curriculum and the students' experience with chiropractic practitioners seem to have the greatest influence on their choice of chiropractic technique for future practice. Extracurricular activities, including technique clubs and seminars, although well attended, showed a lesser influence on students' practice technique preferences.

Case Studies.

ERIC Educational Resources Information Center

Emerson, Allen; And Others

1994-01-01

Three cases of use of collaborative learning techniques in the college classroom are described: a developmental mathematics course, a graduate-level writing project, and college science instruction. Each case includes description of specific class activities and assignments, results, and teacher concerns and comments. (MSE)

The Cultural Content of Business Spanish Texts.

ERIC Educational Resources Information Center

Grosse, Christine Uber; Uber, David

1992-01-01

Eight business Spanish texts were examined to learn about the cultural content of the business Spanish curriculum. Questions of cultural topics and themes, presentation of cultural information, activities and techniques, and use of authentic materials were considered. (16 references) (LB)

Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening †

PubMed Central

Yoon, Sang Min

2018-01-01

Human Activity Recognition (HAR) aims to identify the actions performed by humans using signals collected from various sensors embedded in mobile devices. In recent years, deep learning techniques have further improved HAR performance on several benchmark datasets. In this paper, we propose one-dimensional Convolutional Neural Network (1D CNN) for HAR that employs a divide and conquer-based classifier learning coupled with test data sharpening. Our approach leverages a two-stage learning of multiple 1D CNN models; we first build a binary classifier for recognizing abstract activities, and then build two multi-class 1D CNN models for recognizing individual activities. We then introduce test data sharpening during prediction phase to further improve the activity recognition accuracy. While there have been numerous researches exploring the benefits of activity signal denoising for HAR, few researches have examined the effect of test data sharpening for HAR. We evaluate the effectiveness of our approach on two popular HAR benchmark datasets, and show that our approach outperforms both the two-stage 1D CNN-only method and other state of the art approaches. PMID:29614767

Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening.

PubMed

Cho, Heeryon; Yoon, Sang Min

2018-04-01

Human Activity Recognition (HAR) aims to identify the actions performed by humans using signals collected from various sensors embedded in mobile devices. In recent years, deep learning techniques have further improved HAR performance on several benchmark datasets. In this paper, we propose one-dimensional Convolutional Neural Network (1D CNN) for HAR that employs a divide and conquer-based classifier learning coupled with test data sharpening. Our approach leverages a two-stage learning of multiple 1D CNN models; we first build a binary classifier for recognizing abstract activities, and then build two multi-class 1D CNN models for recognizing individual activities. We then introduce test data sharpening during prediction phase to further improve the activity recognition accuracy. While there have been numerous researches exploring the benefits of activity signal denoising for HAR, few researches have examined the effect of test data sharpening for HAR. We evaluate the effectiveness of our approach on two popular HAR benchmark datasets, and show that our approach outperforms both the two-stage 1D CNN-only method and other state of the art approaches.

Features of an effective operative dentistry learning environment: students' perceptions and relationship with performance.

PubMed

Suksudaj, N; Lekkas, D; Kaidonis, J; Townsend, G C; Winning, T A

2015-02-01

Students' perceptions of their learning environment influence the quality of outcomes they achieve. Learning dental operative techniques in a simulated clinic environment is characterised by reciprocal interactions between skills training, staff- and student-related factors. However, few studies have examined how students perceive their operative learning environments and whether there is a relationship between their perceptions and subsequent performance. Therefore, this study aimed to clarify which learning activities and interactions students perceived as supporting their operative skills learning and to examine relationships with their outcomes. Longitudinal data about examples of operative laboratory sessions that were perceived as effective or ineffective for learning were collected twice a semester, using written critical incidents and interviews. Emergent themes from these data were identified using thematic analysis. Associations between perceptions of learning effectiveness and performance were analysed using chi-square tests. Students indicated that an effective learning environment involved interactions with tutors and peers. This included tutors arranging group discussions to clarify processes and outcomes, providing demonstrations and constructive feedback. Feedback focused on mistakes, and not improvement, was reported as being ineffective for learning. However, there was no significant association between students' perceptions of the effectiveness of their learning experiences and subsequent performance. It was clear that learning in an operative technique setting involved various factors related not only to social interactions and observational aspects of learning but also to cognitive, motivational and affective processes. Consistent with studies that have demonstrated complex interactions between students, their learning environment and outcomes, other factors need investigation. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Who is that masked educator? Deconstructing the teaching and learning processes of an innovative humanistic simulation technique.

PubMed

McAllister, Margaret; Searl, Kerry Reid; Davis, Susan

2013-12-01

Simulation learning in nursing has long made use of mannequins, standardized actors and role play to allow students opportunity to practice technical body-care skills and interventions. Even though numerous strategies have been developed to mimic or amplify clinical situations, a common problem that is difficult to overcome in even the most well-executed simulation experiences, is that students may realize the setting is artificial and fail to fully engage, remember or apply the learning. Another problem is that students may learn technical competence but remain uncertain about communicating with the person. Since communication capabilities are imperative in human service work, simulation learning that only achieves technical competence in students is not fully effective for the needs of nursing education. Furthermore, while simulation learning is a burgeoning space for innovative practices, it has been criticized for the absence of a basis in theory. It is within this context that an innovative simulation learning experience named "Mask-Ed (KRS simulation)", has been deconstructed and the active learning components examined. Establishing a theoretical basis for creative teaching and learning practices provides an understanding of how, why and when simulation learning has been effective and it may help to distinguish aspects of the experience that could be improved. Three conceptual theoretical fields help explain the power of this simulation technique: Vygotskian sociocultural learning theory, applied theatre and embodiment. Copyright © 2013 Elsevier Ltd. All rights reserved.

ROENTGEN: case-based reasoning and radiation therapy planning.

PubMed Central

Berger, J.

1992-01-01

ROENTGEN is a design assistant for radiation therapy planning which uses case-based reasoning, an artificial intelligence technique. It learns both from specific problem-solving experiences and from direct instruction from the user. The first sort of learning is the normal case-based method of storing problem solutions so that they can be reused. The second sort is necessary because ROENTGEN does not, initially, have an internal model of the physics of its problem domain. This dependence on explicit user instruction brings to the forefront representational questions regarding indexing, failure definition, failure explanation and repair. This paper presents the techniques used by ROENTGEN in its knowledge acquisition and design activities. PMID:1482869

The Development of Teaching and Learning in Bright-Field Microscopy Technique

ERIC Educational Resources Information Center

Iskandar, Yulita Hanum P.; Mahmud, Nurul Ethika; Wahab, Wan Nor Amilah Wan Abdul; Jamil, Noor Izani Noor; Basir, Nurlida

2013-01-01

E-learning should be pedagogically-driven rather than technologically-driven. The objectives of this study are to develop an interactive learning system in bright-field microscopy technique in order to support students' achievement of their intended learning outcomes. An interactive learning system on bright-field microscopy technique was…

Effectiveness of Information Processing Strategy Training on Academic Task Performance in Children with Learning Disabilities: A Pilot Study.

PubMed

Juntorn, Sutinun; Sriphetcharawut, Sarinya; Munkhetvit, Peeraya

2017-01-01

Learning disabilities (LD) can be associated with problems in the four stages of information processing used in learning: input, throughput, output, and feedback. These problems affect the child's ability to learn and perform activities in daily life, especially during academic activities. This study is a pilot study aimed at investigating the effectiveness of information processing strategy training using a combination of two approaches that address the ability to apply processing strategies during academic activities in children with LD. The two approaches are the Perceive, Recall, Plan, and Perform (PRPP) System of Intervention, which is a strategy training intervention, and the Four-Quadrant Model (4QM) of Facilitated Learning approach, which is a systematic facilitator technique. Twenty children with LD were assigned to two groups: the experimental group ( n = 10) and the control group ( n = 10). Children in the experimental group received the intervention twice a week for 6 consecutive weeks. Each treatment session took approximately 50 minutes. Children in the control group received traditional intervention twice a week for 6 consecutive weeks. The results indicated that the combination of the PRPP System of Intervention and the 4QM may improve the participants' ability to apply information processing strategies during academic activities.

Factors promoting increased rate of tissue regeneration: the zebrafish fin as a tool for examining tissue engineering design concepts.

PubMed

Boominathan, Vijay P; Ferreira, Tracie L

2012-12-01

Student interest in topics of tissue engineering is increasing exponentially as the number of universities offering programs in bioengineering are on the rise. Bioengineering encompasses all of the STEM categories: Science, Technology, Engineering, and Math. Inquiry-based learning is one of the most effective techniques for promoting student learning and has been demonstrated to have a high impact on learning outcomes. We have designed program outcomes for our bioengineering program that require tiered activities to develop problem solving skills, peer evaluation techniques, and promote team work. While it is ideal to allow students to ask unique questions and design their own experiments, this can be difficult for instructors to have reagents and supplies available for a variety of activities. Zebrafish can be easily housed, and multiple variables can be tested on a large enough group to provide statistical value, lending them well to inquiry-based learning modules. We have designed a laboratory activity that takes observation of fin regeneration to the next level: analyzing conditions that may impact regeneration. Tissue engineers seek to define the optimum conditions to grow tissue for replacement parts. The field of tissue engineering is likely to benefit from understanding natural mechanisms of regeneration and the factors that influence the rate of regeneration. We have outlined the results of varying temperature on fin regeneration and propose other inquiry modules such as the role of pH in fin regeneration. Furthermore, we have provided useful tools for developing critical thinking and peer review of research ideas, assessment guidelines, and grading rubrics for the activities associated with this exercise.

Student Team Achievement Divisions: Its Effect on Electrical Motor Installation Knowledge Competence

NASA Astrophysics Data System (ADS)

Hanafi, Ahmad; Basuki, Ismet

2018-04-01

Student team achievement division (STAD) was an active learning strategy with the small group inside of the classroom members. The students would work in small heterogeneous groups (of five to six members) and help one another to comprehend the material given. To achieve the objectives of the study, this research aims to know the effect of STAD on competence of electrical motor installation. The objective of the student competence was knowledge competence. The data was collected from 30 students. the participants were the students of second class at electrical installation techniques, SMKN 1 Pungging Indonesia. The design of empirical test in this research was one shot case study. The result of knowledge test would be compared by criteria for minimum competence, which was 75. Knowledge competence was analyzed with one sample t test technique. From the analysis got average 84.93, which meant average of student competence had reached criteria for minimum competence. From that analyze, It could be concluded that STAD was effective on electrical motor installation knowledge competence. STAD could grow student motivation to learn better than other models. But, in the application of cooperative learning teacher should prepare carefully before the learning process to avoid problems that could arise during group learning such as students who were less active in the groups. The problem could be resolved by away the teachers took around to check each group. It was felt could minimize the problems.

Integrating Machine Learning into Space Operations

NASA Astrophysics Data System (ADS)

Kelly, K. G.

There are significant challenges with managing activities in space, which for the scope of this paper are primarily the identification of objects in orbit, maintaining accurate estimates of the orbits of those objects, detecting changes to those orbits, warning of possible collisions between objects and detection of anomalous behavior. The challenges come from the large amounts of data to be processed, which is often incomplete and noisy, limitations on the ability to influence objects in space and the overall strategic importance of space to national interests. The focus of this paper is on defining an approach to leverage the improved capabilities that are possible using state of the art machine learning in a way that empowers operations personnel without sacrificing the security and mission assurance associated with manual operations performed by trained personnel. There has been significant research in the development of algorithms and techniques for applying machine learning in this domain, but deploying new techniques into such a mission critical domain is difficult and time consuming. Establishing a common framework could improve the efficiency with which new techniques are integrated into operations and the overall effectiveness at providing improvements.

Spike sorting based upon machine learning algorithms (SOMA).

PubMed

Horton, P M; Nicol, A U; Kendrick, K M; Feng, J F

2007-02-15

We have developed a spike sorting method, using a combination of various machine learning algorithms, to analyse electrophysiological data and automatically determine the number of sampled neurons from an individual electrode, and discriminate their activities. We discuss extensions to a standard unsupervised learning algorithm (Kohonen), as using a simple application of this technique would only identify a known number of clusters. Our extra techniques automatically identify the number of clusters within the dataset, and their sizes, thereby reducing the chance of misclassification. We also discuss a new pre-processing technique, which transforms the data into a higher dimensional feature space revealing separable clusters. Using principal component analysis (PCA) alone may not achieve this. Our new approach appends the features acquired using PCA with features describing the geometric shapes that constitute a spike waveform. To validate our new spike sorting approach, we have applied it to multi-electrode array datasets acquired from the rat olfactory bulb, and from the sheep infero-temporal cortex, and using simulated data. The SOMA sofware is available at http://www.sussex.ac.uk/Users/pmh20/spikes.

Codeswitching techniques: evidence-based instructional practices for the ASL/English bilingual classroom.

PubMed

Andrews, Jean F; Rusher, Melissa

2010-01-01

The authors present a perspective on emerging bilingual deaf students who are exposed to, learning, and developing two languages--American Sign Language (ASL) and English (spoken English, manually coded English, and English reading and writing). The authors suggest that though deaf children may lack proficiency or fluency in either language during early language-learning development, they still engage in codeswitching activities, in which they go back and forth between signing and English to communicate. The authors then provide a second meaning of codeswitching--as a purpose-driven instructional technique in which the teacher strategically changes from ASL to English print for purposes of vocabulary and reading comprehension. The results of four studies are examined that suggest that certain codeswitching strategies support English vocabulary learning and reading comprehension. These instructional strategies are couched in a five-pronged approach to furthering the development of bilingual education for deaf students.

Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback

PubMed Central

Robineau, Fabien; Meskaldji, Djalel E.; Koush, Yury; Rieger, Sebastian W.; Mermoud, Christophe; Morgenthaler, Stephan; Van De Ville, Dimitri; Vuilleumier, Patrik; Scharnowski, Frank

2017-01-01

Neurofeedback based on real-time functional magnetic resonance imaging (fMRI) is an emerging technique that allows for learning voluntary control over brain activity. Such brain training has been shown to cause specific behavioral or cognitive enhancements, and even therapeutic effects in neurological and psychiatric patient populations. However, for clinical applications it is important to know if learned self-regulation can be maintained over longer periods of time and whether it transfers to situations without neurofeedback. Here, we present preliminary results from five healthy participants who successfully learned to control their visual cortex activity and who we re-scanned 6 and 14 months after the initial neurofeedback training to perform learned self-regulation. We found that participants achieved levels of self-regulation that were similar to those achieved at the end of the successful initial training, and this without further neurofeedback information. Our results demonstrate that learned self-regulation can be maintained over longer periods of time and causes lasting transfer effects. They thus support the notion that neurofeedback is a promising therapeutic approach whose effects can last far beyond the actual training period. PMID:28386224

Student profiling on university co-curricular activities using cluster analysis

NASA Astrophysics Data System (ADS)

Rajenthran, Hemabegai A./P.; Shaharanee, Izwan Nizal Mohd; Jamil, Jastini Mohd.

2017-11-01

In higher learning institutions, the co-curricular programs are needed for the graduation besides the standard academic programs. By actively participating in co-curricular, students can attain many of soft skills and proficiencies besides learning and adopting campus environment, community and traditions. Co-curricular activities are implemented by universities mainly for the refinement of the academic achievement along with the social development. This studies aimed to analyse the academic profile of the co-curricular students among uniform units. The main objective of study is to develop a profile of student co-curricular activities in uniform units. Additionally, several variables has been selected to serve as the characteristics for student co-curricular profile. The findings of this study demonstrate the practicality of clustering technique to investigate student's profiles and allow for a better understanding of student's behavior and co-curriculum activities.

Improving the students’ skills in developing geometry learning by building the character of academic atmosphere in Study Program of Elementary School Teacher Universitas Negeri Semarang

NASA Astrophysics Data System (ADS)

Nugraheni, N.; Wahyuningsih

2018-03-01

The purposes of this study for knowing how to improve the character of academic atmosphere to improve the ability in designing geometry learning on Study Program of Elementary School TeacherUniversitas Negeri Semarang students. This research is a classroom action research conducted in two cycles and each cycle consists of two meetings. Each cycle consists of planning, execution, observation, and evaluation. The subjects of this study are lecturers of geometry and students who take geometry course. The technique in collecting data is using test and non-test techniques. The data analysis is done in quantitative and qualitative descriptive analysis. The result of research shows that the lecturers’ activity is in good category and student activity is on very good category. While the students’ learning outcomes are in good category. From the field notes, students are able to perform independent and structured tasks with their full responsibility, hard work, and diligence. It shows that the character of academic atmosphere has increased. It is suggested that a set of task bills so that prerequisites have been owned by the students. Structured tasks should be given to see the students’ ability.

Deep learning with convolutional neural network in radiology.

PubMed

Yasaka, Koichiro; Akai, Hiroyuki; Kunimatsu, Akira; Kiryu, Shigeru; Abe, Osamu

2018-04-01

Deep learning with a convolutional neural network (CNN) is gaining attention recently for its high performance in image recognition. Images themselves can be utilized in a learning process with this technique, and feature extraction in advance of the learning process is not required. Important features can be automatically learned. Thanks to the development of hardware and software in addition to techniques regarding deep learning, application of this technique to radiological images for predicting clinically useful information, such as the detection and the evaluation of lesions, etc., are beginning to be investigated. This article illustrates basic technical knowledge regarding deep learning with CNNs along the actual course (collecting data, implementing CNNs, and training and testing phases). Pitfalls regarding this technique and how to manage them are also illustrated. We also described some advanced topics of deep learning, results of recent clinical studies, and the future directions of clinical application of deep learning techniques.

Total Participation Techniques: Making Every Student an Active Learner

ERIC Educational Resources Information Center

Himmele, Persida; Himmele, William

2011-01-01

Yes, there are easy-to-use and incredibly effective alternatives to the "stand and deliver" approach to teaching that causes so many students to tune out--or even drop out. Here's your opportunity to explore dozens of ways to engage K-12 students in active learning and allow them to demonstrate the depth of their knowledge and understanding. The…

Challenging Science and Literacy Activities for K-9 Students - The Cricket Chronicles: Student Edition

ERIC Educational Resources Information Center

Matthews, Catherine E.

2006-01-01

This is an extensive integrated unit of study focused on that common and familiar insect-the cricket. In this edition, students are provided with more than 30 activities on crickets, which will help them learn science content and skills including: (1) Taxonomy; (2) Anatomy; (3) Ecology; (4) Mark and recapture techniques for estimating population…

Dr. Earl N. Meyer, in the Lab, with a Scalpel: A Murder Mystery as a Biochemistry Recruitment Tool

ERIC Educational Resources Information Center

Vulcu, Felicia; Heirwegh, Meagan

2015-01-01

Increasing student participation in science is an ongoing challenge for many universities. In this active learning workshop, centered on inquiry and teamwork, we introduce high-school students to biochemistry and molecular biology techniques using a murder mystery activity. During this intensive 3 hr workshop, we engage students in a murder…

Cuatro Modelos para Disenar Actividades de Capacitacion de Docentes (Four Models to Design In-Service Teacher Training Activities).

ERIC Educational Resources Information Center

Valle, Victor M.

In designing inservice teacher training activities, it is necessary to apply educational principles and teaching and learning techniques which are suitable for adult education programs. Four models for designing inservice teacher training programs are the Malcom Knowles Model, the Leonard Nadler Model, the Cyril O. Houle Model, and the William R.…

Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment.

PubMed

Oblak, Ethan F; Lewis-Peacock, Jarrod A; Sulzer, James S

2017-07-01

Direct manipulation of brain activity can be used to investigate causal brain-behavior relationships. Current noninvasive neural stimulation techniques are too coarse to manipulate behaviors that correlate with fine-grained spatial patterns recorded by fMRI. However, these activity patterns can be manipulated by having people learn to self-regulate their own recorded neural activity. This technique, known as fMRI neurofeedback, faces challenges as many participants are unable to self-regulate. The causes of this non-responder effect are not well understood due to the cost and complexity of such investigation in the MRI scanner. Here, we investigated the temporal dynamics of the hemodynamic response measured by fMRI as a potential cause of the non-responder effect. Learning to self-regulate the hemodynamic response involves a difficult temporal credit-assignment problem because this signal is both delayed and blurred over time. Two factors critical to this problem are the prescribed self-regulation strategy (cognitive or automatic) and feedback timing (continuous or intermittent). Here, we sought to evaluate how these factors interact with the temporal dynamics of fMRI without using the MRI scanner. We first examined the role of cognitive strategies by having participants learn to regulate a simulated neurofeedback signal using a unidimensional strategy: pressing one of two buttons to rotate a visual grating that stimulates a model of visual cortex. Under these conditions, continuous feedback led to faster regulation compared to intermittent feedback. Yet, since many neurofeedback studies prescribe implicit self-regulation strategies, we created a computational model of automatic reward-based learning to examine whether this result held true for automatic processing. When feedback was delayed and blurred based on the hemodynamics of fMRI, this model learned more reliably from intermittent feedback compared to continuous feedback. These results suggest that different self-regulation mechanisms prefer different feedback timings, and that these factors can be effectively explored and optimized via simulation prior to deployment in the MRI scanner.

Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment

PubMed Central

Sulzer, James S.

2017-01-01

Direct manipulation of brain activity can be used to investigate causal brain-behavior relationships. Current noninvasive neural stimulation techniques are too coarse to manipulate behaviors that correlate with fine-grained spatial patterns recorded by fMRI. However, these activity patterns can be manipulated by having people learn to self-regulate their own recorded neural activity. This technique, known as fMRI neurofeedback, faces challenges as many participants are unable to self-regulate. The causes of this non-responder effect are not well understood due to the cost and complexity of such investigation in the MRI scanner. Here, we investigated the temporal dynamics of the hemodynamic response measured by fMRI as a potential cause of the non-responder effect. Learning to self-regulate the hemodynamic response involves a difficult temporal credit-assignment problem because this signal is both delayed and blurred over time. Two factors critical to this problem are the prescribed self-regulation strategy (cognitive or automatic) and feedback timing (continuous or intermittent). Here, we sought to evaluate how these factors interact with the temporal dynamics of fMRI without using the MRI scanner. We first examined the role of cognitive strategies by having participants learn to regulate a simulated neurofeedback signal using a unidimensional strategy: pressing one of two buttons to rotate a visual grating that stimulates a model of visual cortex. Under these conditions, continuous feedback led to faster regulation compared to intermittent feedback. Yet, since many neurofeedback studies prescribe implicit self-regulation strategies, we created a computational model of automatic reward-based learning to examine whether this result held true for automatic processing. When feedback was delayed and blurred based on the hemodynamics of fMRI, this model learned more reliably from intermittent feedback compared to continuous feedback. These results suggest that different self-regulation mechanisms prefer different feedback timings, and that these factors can be effectively explored and optimized via simulation prior to deployment in the MRI scanner. PMID:28753639

Impact of distance-based metric learning on classification and visualization model performance and structure-activity landscapes.

PubMed

Kireeva, Natalia V; Ovchinnikova, Svetlana I; Kuznetsov, Sergey L; Kazennov, Andrey M; Tsivadze, Aslan Yu

2014-02-01

This study concerns large margin nearest neighbors classifier and its multi-metric extension as the efficient approaches for metric learning which aimed to learn an appropriate distance/similarity function for considered case studies. In recent years, many studies in data mining and pattern recognition have demonstrated that a learned metric can significantly improve the performance in classification, clustering and retrieval tasks. The paper describes application of the metric learning approach to in silico assessment of chemical liabilities. Chemical liabilities, such as adverse effects and toxicity, play a significant role in drug discovery process, in silico assessment of chemical liabilities is an important step aimed to reduce costs and animal testing by complementing or replacing in vitro and in vivo experiments. Here, to our knowledge for the first time, a distance-based metric learning procedures have been applied for in silico assessment of chemical liabilities, the impact of metric learning on structure-activity landscapes and predictive performance of developed models has been analyzed, the learned metric was used in support vector machines. The metric learning results have been illustrated using linear and non-linear data visualization techniques in order to indicate how the change of metrics affected nearest neighbors relations and descriptor space.

Impact of distance-based metric learning on classification and visualization model performance and structure-activity landscapes

NASA Astrophysics Data System (ADS)

Kireeva, Natalia V.; Ovchinnikova, Svetlana I.; Kuznetsov, Sergey L.; Kazennov, Andrey M.; Tsivadze, Aslan Yu.

2014-02-01

This study concerns large margin nearest neighbors classifier and its multi-metric extension as the efficient approaches for metric learning which aimed to learn an appropriate distance/similarity function for considered case studies. In recent years, many studies in data mining and pattern recognition have demonstrated that a learned metric can significantly improve the performance in classification, clustering and retrieval tasks. The paper describes application of the metric learning approach to in silico assessment of chemical liabilities. Chemical liabilities, such as adverse effects and toxicity, play a significant role in drug discovery process, in silico assessment of chemical liabilities is an important step aimed to reduce costs and animal testing by complementing or replacing in vitro and in vivo experiments. Here, to our knowledge for the first time, a distance-based metric learning procedures have been applied for in silico assessment of chemical liabilities, the impact of metric learning on structure-activity landscapes and predictive performance of developed models has been analyzed, the learned metric was used in support vector machines. The metric learning results have been illustrated using linear and non-linear data visualization techniques in order to indicate how the change of metrics affected nearest neighbors relations and descriptor space.

An experimental model for the study of cognitive disorders: the hippocampus and associative learning in mice.

PubMed

Delgado-García, José M; Gruart, Agnès

2008-12-01

The availability of transgenic mice mimicking selective human neurodegenerative and psychiatric disorders calls for new electrophysiological and microstimulation techniques capable of being applied in vivo in this species. In this article, we will concentrate on experiments and techniques developed in our laboratory during the past few years. Thus we have developed different techniques for the study of learning and memory capabilities of wild-type and transgenic mice with deficits in cognitive functions, using classical conditioning procedures. These techniques include different trace (tone/SHOCK and shock/SHOCK) conditioning procedures ? that is, a classical conditioning task involving the cerebral cortex, including the hippocampus. We have also developed implantation and recording techniques for evoking long-term potentiation (LTP) in behaving mice and for recording the evolution of field excitatory postsynaptic potentials (fEPSP) evoked in the hippocampal CA1 area by the electrical stimulation of the commissural/Schaffer collateral pathway across conditioning sessions. Computer programs have also been developed to quantify the appearance and evolution of eyelid conditioned responses and the slope of evoked fEPSPs. According to the present results, the in vivo recording of the electrical activity of selected hippocampal sites during classical conditioning of eyelid responses appears to be a suitable experimental procedure for studying learning capabilities in genetically modified mice, and an excellent model for the study of selected neuropsychiatric disorders compromising cerebral cortex functioning.

Active Learning for Directed Exploration of Complex Systems

NASA Technical Reports Server (NTRS)

Burl, Michael C.; Wang, Esther

2009-01-01

Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fidelity representation of system behavior, but are often so slow to run that insight into the system is limited. For example, conducting an exhaustive sweep over a d-dimensional input parameter space with k-steps along each dimension requires k(sup d) simulation trials (translating into k(sup d) CPU-days for one of our current simulations). An alternative is directed exploration in which the next simulation trials are cleverly chosen at each step. Given the results of previous trials, supervised learning techniques (SVM, KDE, GP) are applied to build up simplified predictive models of system behavior. These models are then used within an active learning framework to identify the most valuable trials to run next. Several active learning strategies are examined including a recently-proposed information-theoretic approach. Performance is evaluated on a set of thirteen synthetic oracles, which serve as surrogates for the more expensive simulations and enable the experiments to be replicated by other researchers.

The Impact of Light Pollution Education through a Global Star-Hunting Campaign and Classroom Curricu

NASA Astrophysics Data System (ADS)

Walker, C. E.; Buxner, S.; Pompea, S. M.

2012-12-01

The emphasis of the international citizen-science, star-hunting campaign, GLOBE at Night, and its accompanying Dark Skies Rangers activities is to increase public awareness on issues of light pollution. An on-line evaluation survey was administered to 585 people who participated in a GLOBE at Night and/or Dark Skies Rangers workshop and had received a Dark Skies Education Kit over the last 5 years. The survey was conducted to help improve the dark sky education programs and was administered and assessed by an external evaluator. Results will be presented on the usefulness of the programs, workshops and associated materials (e.g., the Dark Skies Rangers activities, materials, kit). Results will also include the evaluation of the GLOBE at Night campaigns, the use of these resources in the classroom, and the educators' impressions of student learning outcomes. Session participants will: 1) Learn about ongoing efforts to evaluate a large citizen science project; 2) Learn about usefulness of Dark Sky products for a variety of educational providers; 3) Learn how to apply the presented techniques to their own outreach activities.

Using Academic Journals to Help Students Learn Subject Matter Content, Develop and Practice Critical Reasoning Skills, and Reflect on Personal Values in Food Science and Human Nutrition Classes

ERIC Educational Resources Information Center

Iwaoka, Wayne T.; Crosetti, Lea M.

2008-01-01

It has been reported that students learn best when they use a wide variety of techniques to understand the information of the discipline, be it visual, auditory, discussion with others, metacognition, hands-on activities, or writing about the subject. We report in this article the use of academic journals not only as an aid for students to learn…

Teaching Genetics: Past, Present, and Future

PubMed Central

Smith, Michelle K.; Wood, William B.

2016-01-01

Genetics teaching at the undergraduate level has changed in many ways over the past century. Compared to those of 100 years ago, contemporary genetics courses are broader in content and are taught increasingly differently, using instructional techniques based on educational research and constructed around the principles of active learning and backward design. Future courses can benefit from wider adoption of these approaches, more emphasis on the practice of genetics as a science, and new methods of assessing student learning. PMID:27601614

Learn It, Lab It, Love It.

ERIC Educational Resources Information Center

Alleman-Brooks, Janet E.

1981-01-01

Notes how laboratory experiences can help elementary school social studies pupils understand concepts such as cultural awareness, career education, advertising techniques, map and globe skills, music, transportation, and landforms. For each concept, information is presented on objectives, activities within a laboratory setting, and evaluation…

A Reading-Writing Connection in the Content Areas (Secondary Perspectives).

ERIC Educational Resources Information Center

Journal of Reading, 1990

1990-01-01

Discusses instructional activities designed to foster the reading-writing connection in the content area classroom. Describes the use of "possible sentences," learning logs, freewriting, dialogue journals, the RAFT technique (role, audience, format, and topic), and the "opinion-proof" organization strategy. (RS)

A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition

PubMed Central

Saez, Yago; Baldominos, Alejandro; Isasi, Pedro

2016-01-01

Physical activity is widely known to be one of the key elements of a healthy life. The many benefits of physical activity described in the medical literature include weight loss and reductions in the risk factors for chronic diseases. With the recent advances in wearable devices, such as smartwatches or physical activity wristbands, motion tracking sensors are becoming pervasive, which has led to an impressive growth in the amount of physical activity data available and an increasing interest in recognizing which specific activity a user is performing. Moreover, big data and machine learning are now cross-fertilizing each other in an approach called “deep learning”, which consists of massive artificial neural networks able to detect complicated patterns from enormous amounts of input data to learn classification models. This work compares various state-of-the-art classification techniques for automatic cross-person activity recognition under different scenarios that vary widely in how much information is available for analysis. We have incorporated deep learning by using Google’s TensorFlow framework. The data used in this study were acquired from PAMAP2 (Physical Activity Monitoring in the Ageing Population), a publicly available dataset containing physical activity data. To perform cross-person prediction, we used the leave-one-subject-out (LOSO) cross-validation technique. When working with large training sets, the best classifiers obtain very high average accuracies (e.g., 96% using extra randomized trees). However, when the data volume is drastically reduced (where available data are only 0.001% of the continuous data), deep neural networks performed the best, achieving 60% in overall prediction accuracy. We found that even when working with only approximately 22.67% of the full dataset, we can statistically obtain the same results as when working with the full dataset. This finding enables the design of more energy-efficient devices and facilitates cold starts and big data processing of physical activity records. PMID:28042838

A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices.

PubMed

Ravi, Daniele; Wong, Charence; Lo, Benny; Yang, Guang-Zhong

2017-01-01

The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now be captured continuously for applications in sports, wellbeing, and healthcare. This wealth of information requires efficient methods of classification and analysis where deep learning is a promising technique for large-scale data analytics. While deep learning has been successful in implementations that utilize high-performance computing platforms, its use on low-power wearable devices is limited by resource constraints. In this paper, we propose a deep learning methodology, which combines features learned from inertial sensor data together with complementary information from a set of shallow features to enable accurate and real-time activity classification. The design of this combined method aims to overcome some of the limitations present in a typical deep learning framework where on-node computation is required. To optimize the proposed method for real-time on-node computation, spectral domain preprocessing is used before the data are passed onto the deep learning framework. The classification accuracy of our proposed deep learning approach is evaluated against state-of-the-art methods using both laboratory and real world activity datasets. Our results show the validity of the approach on different human activity datasets, outperforming other methods, including the two methods used within our combined pipeline. We also demonstrate that the computation times for the proposed method are consistent with the constraints of real-time on-node processing on smartphones and a wearable sensor platform.

Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation.

PubMed

Dominguez Veiga, Jose Juan; O'Reilly, Martin; Whelan, Darragh; Caulfield, Brian; Ward, Tomas E

2017-08-04

Inertial sensors are one of the most commonly used sources of data for human activity recognition (HAR) and exercise detection (ED) tasks. The time series produced by these sensors are generally analyzed through numerical methods. Machine learning techniques such as random forests or support vector machines are popular in this field for classification efforts, but they need to be supported through the isolation of a potentially large number of additionally crafted features derived from the raw data. This feature preprocessing step can involve nontrivial digital signal processing (DSP) techniques. However, in many cases, the researchers interested in this type of activity recognition problems do not possess the necessary technical background for this feature-set development. The study aimed to present a novel application of established machine vision methods to provide interested researchers with an easier entry path into the HAR and ED fields. This can be achieved by removing the need for deep DSP skills through the use of transfer learning. This can be done by using a pretrained convolutional neural network (CNN) developed for machine vision purposes for exercise classification effort. The new method should simply require researchers to generate plots of the signals that they would like to build classifiers with, store them as images, and then place them in folders according to their training label before retraining the network. We applied a CNN, an established machine vision technique, to the task of ED. Tensorflow, a high-level framework for machine learning, was used to facilitate infrastructure needs. Simple time series plots generated directly from accelerometer and gyroscope signals are used to retrain an openly available neural network (Inception), originally developed for machine vision tasks. Data from 82 healthy volunteers, performing 5 different exercises while wearing a lumbar-worn inertial measurement unit (IMU), was collected. The ability of the proposed method to automatically classify the exercise being completed was assessed using this dataset. For comparative purposes, classification using the same dataset was also performed using the more conventional approach of feature-extraction and classification using random forest classifiers. With the collected dataset and the proposed method, the different exercises could be recognized with a 95.89% (3827/3991) accuracy, which is competitive with current state-of-the-art techniques in ED. The high level of accuracy attained with the proposed approach indicates that the waveform morphologies in the time-series plots for each of the exercises is sufficiently distinct among the participants to allow the use of machine vision approaches. The use of high-level machine learning frameworks, coupled with the novel use of machine vision techniques instead of complex manually crafted features, may facilitate access to research in the HAR field for individuals without extensive digital signal processing or machine learning backgrounds. ©Jose Juan Dominguez Veiga, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Tomas E Ward. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 04.08.2017.

Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation

PubMed Central

O'Reilly, Martin; Whelan, Darragh; Caulfield, Brian; Ward, Tomas E

2017-01-01

Background Inertial sensors are one of the most commonly used sources of data for human activity recognition (HAR) and exercise detection (ED) tasks. The time series produced by these sensors are generally analyzed through numerical methods. Machine learning techniques such as random forests or support vector machines are popular in this field for classification efforts, but they need to be supported through the isolation of a potentially large number of additionally crafted features derived from the raw data. This feature preprocessing step can involve nontrivial digital signal processing (DSP) techniques. However, in many cases, the researchers interested in this type of activity recognition problems do not possess the necessary technical background for this feature-set development. Objective The study aimed to present a novel application of established machine vision methods to provide interested researchers with an easier entry path into the HAR and ED fields. This can be achieved by removing the need for deep DSP skills through the use of transfer learning. This can be done by using a pretrained convolutional neural network (CNN) developed for machine vision purposes for exercise classification effort. The new method should simply require researchers to generate plots of the signals that they would like to build classifiers with, store them as images, and then place them in folders according to their training label before retraining the network. Methods We applied a CNN, an established machine vision technique, to the task of ED. Tensorflow, a high-level framework for machine learning, was used to facilitate infrastructure needs. Simple time series plots generated directly from accelerometer and gyroscope signals are used to retrain an openly available neural network (Inception), originally developed for machine vision tasks. Data from 82 healthy volunteers, performing 5 different exercises while wearing a lumbar-worn inertial measurement unit (IMU), was collected. The ability of the proposed method to automatically classify the exercise being completed was assessed using this dataset. For comparative purposes, classification using the same dataset was also performed using the more conventional approach of feature-extraction and classification using random forest classifiers. Results With the collected dataset and the proposed method, the different exercises could be recognized with a 95.89% (3827/3991) accuracy, which is competitive with current state-of-the-art techniques in ED. Conclusions The high level of accuracy attained with the proposed approach indicates that the waveform morphologies in the time-series plots for each of the exercises is sufficiently distinct among the participants to allow the use of machine vision approaches. The use of high-level machine learning frameworks, coupled with the novel use of machine vision techniques instead of complex manually crafted features, may facilitate access to research in the HAR field for individuals without extensive digital signal processing or machine learning backgrounds. PMID:28778851

The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation.

PubMed

McDonald, Sarah C; Brooker, Graham; Phipps, Hala; Hyett, Jon

2017-09-01

The purpose of this paper is to outline a novel method of using template based cross-correlation to identify and track uterine contractions during labour. A purpose built six-channel Electromyography (EMG) device was used to collect data from consenting women during labour and birth. A range of templates were constructed for the purpose of identifying and tracking uterine activity when cross-correlated with the EMG signal. Peak finding techniques were applied on the cross-correlated result to simplify and automate the identification and tracking of contractions. The EMG data showed a unique pattern when a woman was contracting with key features of the contraction signal remaining consistent and identifiable across subjects. Contraction profiles across subjects were automatically identified using template based cross-correlation. Synthetic templates from a rectangular function with a duration of between 5 and 10 s performed best at identifying and tracking uterine activity across subjects. The successful application of this technique provides opportunity for both simple and accurate real-time analysis of contraction data while enabling investigations into the application of techniques such as machine learning which could enable automated learning from contraction data as part of real-time monitoring and post analysis.

Measuring Engagement and Learning Outcomes During a Teacher Professional Development Workshop about Creative Climate Communication

NASA Astrophysics Data System (ADS)

Morrison, A.; Gold, A. U.; Soltis, N.; McNeal, K.; Kay, J. E.

2017-12-01

Climate science and global climate change are complex topics that require system-level thinking and the application of general science concepts. Identifying effective instructional approaches for improving climate literacy is an emerging research area with important broader impacts. Active learning techniques can ensure engagement throughout the learning process and increase retention of climate science content. Conceptual changes that can be measured as lasting learning gains occur when both the cognitive and affective domain are engaged. Galvanic skin sensors are a relatively new technique to directly measure engagement and cognitive load in science education. We studied the engagement and learning gains of 16 teachers throughout a one-day teacher professional development workshop focused on creative strategies to communicate about climate change. The workshop consisted of presentations about climate science, climate communication, storytelling and filmmaking, which were delivered using different pedagogical approaches. Presentations alternated with group exercises, clicker questions, videos and discussions. Using a pre-post test design we measured learning gains and attitude changes towards climate change among participating teachers. Each teacher wore a hand sensor to measure galvanic skin conductance as a proxy for emotional engagement. We surveyed teachers to obtain self-reflection data on engagement and on their skin conductance data during and after the workshop. Qualitative data provide critical information to aid the interpretation of skin conductance readings. Based on skin conductance data, teachers were most engaged during group work, discussions and videos as compared to lecture-style presentations. We discuss the benefits and limitations of using galvanic skin sensors to inform the design of teacher professional development opportunities. Results indicate that watching videos or doing interactive activities may be the most effective strategies for increasing teachers' knowledge of climate science.

Deep Learning for Computer Vision: A Brief Review

PubMed Central

Doulamis, Nikolaos; Doulamis, Anastasios; Protopapadakis, Eftychios

2018-01-01

Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief overview of some of the most significant deep learning schemes used in computer vision problems, that is, Convolutional Neural Networks, Deep Boltzmann Machines and Deep Belief Networks, and Stacked Denoising Autoencoders. A brief account of their history, structure, advantages, and limitations is given, followed by a description of their applications in various computer vision tasks, such as object detection, face recognition, action and activity recognition, and human pose estimation. Finally, a brief overview is given of future directions in designing deep learning schemes for computer vision problems and the challenges involved therein. PMID:29487619

Efficacy of problem based learning in a high school science classroom

NASA Astrophysics Data System (ADS)

Rissi, James Ryan

At the high school level, the maturity of the students, as well as constraints of the traditional high school (both in terms of class time, and number of students), impedes the use of the Problem-based instruction. But with more coaching, guidance, and planning, Problem-based Learning may be an effective teaching technique with secondary students. In recent years, the State of Michigan High School Content Expectations have emphasized the importance of inquiry and problem solving in the high school science classroom. In order to help students gain inquiry and problem solving skills, a move towards a problem-based curriculum and away from the didactic approach may lead to favorable results. In this study, the problem-based-learning framework was implemented in a high school Anatomy and Physiology classroom. Using pre-tests and post-tests over the material presented using the Problem-based technique, student comprehension and long-term retention of the material was monitored. It was found that Problem-based Learning produced comparable test performance when compared to traditional lecture, note-taking, and enrichment activities. In addition, students showed evidence of gaining research and team-working skills.

Fostering Interdisciplinary Thinking through an International Development Case Study

ERIC Educational Resources Information Center

Ellett, Rachel L.; Esperanza, Jennifer; Phan, Diep

2016-01-01

Despite widespread acknowledgment of the importance of interdisciplinary pedagogy, disciplinary teaching remains the norm on most campuses, primarily due to cost and institutional constraints. Bridging the gap between literature on interdisciplinary teaching and active-learning techniques, this article describes an innovative and less costly…

Toward Collaboration Sensing

ERIC Educational Resources Information Center

Schneider, Bertrand; Pea, Roy

2014-01-01

We describe preliminary applications of network analysis techniques to eye-tracking data collected during a collaborative learning activity. This paper makes three contributions: first, we visualize collaborative eye-tracking data as networks, where the nodes of the graph represent fixations and edges represent saccades. We found that those…

Comprehensive Career Education Curriculum Guide for the Trainable.

ERIC Educational Resources Information Center

Mulligan, Robert E.; And Others

Designed for use by teachers of the trainable mentally retarded, primary through postsecondary levels, this curriculum guide integrates development of verbal and written communication skills with the student's career development. The guide contains instructional objectives, suggested learning activities and teaching techniques, and information on…

Geometry and Op Art.

ERIC Educational Resources Information Center

Brewer, Evelyn J.

1999-01-01

Describes an activity in which students use computers and techniques from Op Art to learn various geometric concepts. Allows them to see the distinct connection between art and mathematics from a personal perspective. Reinforces writing, speaking, and drawing skills while creating slide shows related to the project. (ASK)

Geophysics field school: A team-based learning experience for students and faculty

NASA Astrophysics Data System (ADS)

Karchewski, B.; Innanen, K. A.; Lauer, R. M.; Pidlisecky, A.

2016-12-01

The core challenge facing a modern science educator is to deliver a curriculum that reaches broadly and deeply into the technical domain, while also helping students to develop fundamental scientific skills such as inquiry, critical thinking and technical communication. That is, our aim is for students to achieve significant learning at all levels summarized by Bloom's Taxonomy of Educational Objectives. It is not always clear how to achieve the full spectrum of goals, with much debate over which component is more important in a science education. Team-based and experiential learning are research-supported approaches that aim to reach across the spectrum by placing students in a setting where they solve practical problems in teams of peers. This learning mode modifies the role of the instructor to a guide or facilitator, and students take a leadership role in their own education. We present a case study of our team's implementation of team-based learning in a geophysics field school, an inherently experiential learning environment. The core philosophies behind our implementation are to present clearly defined learning outcomes, to recognize that students differ in their learning modalities and to strive to engage students through a range of evidence-based learning experiences. We discuss the techniques employed to create functional teams, the key learning activities involved in a typical day of field school and data demonstrating the learning activities that showed the strongest correlation to overall performance in the course. In the process, we also realized that our team-based approach to course design and implementation also enhanced our skillsets as educators, and our institution recently recognized our efforts with a team teaching award. Therefore, we conclude with some of our observations of best practices for team teaching in a field setting to initiate discussions with colleagues engaged in similar activities.

Incorporation of Socio-scientific Content into Active Learning Activities

NASA Astrophysics Data System (ADS)

King, D. B.; Lewis, J. E.; Anderson, K.; Latch, D.; Sutheimer, S.; Webster, G.; Moog, R.

2014-12-01

Active learning has gained increasing support as an effective pedagogical technique to improve student learning. One way to promote active learning in the classroom is the use of in-class activities in place of lecturing. As part of an NSF-funded project, a set of in-class activities have been created that use climate change topics to teach chemistry content. These activities use the Process Oriented Guided Inquiry Learning (POGIL) methodology. In this pedagogical approach a set of models and a series of critical thinking questions are used to guide students through the introduction to or application of course content. Students complete the activities in their groups, with the faculty member as a facilitator of learning. Through assigned group roles and intentionally designed activity structure, process skills, such as teamwork, communication, and information processing, are developed during completion of the activity. Each of these climate change activities contains a socio-scientific component, e.g., social, ethical and economic data. In one activity, greenhouse gases are used to explain the concept of dipole moment. Data about natural and anthropogenic production rates, global warming potential and atmospheric lifetimes for a list of greenhouse gases are presented. The students are asked to identify which greenhouse gas they would regulate, with a corresponding explanation for their choice. They are also asked to identify the disadvantages of regulating the gas they chose in the previous question. In another activity, where carbon sequestration is used to demonstrate the utility of a phase diagram, students use economic and environmental data to choose the best location for sequestration. Too often discussions about climate change (both in and outside the classroom) consist of purely emotional responses. These activities force students to use data to support their arguments and hypothesize about what other data could be used in the corresponding discussion to support their position. In this presentation, we will present examples of the socio-scientific components of several activities, and discuss the challenges associated with incorporating socio-scientific components into content-based class activities.

Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex Tasks

PubMed Central

Dawadi, Prafulla N.; Cook, Diane J.; Schmitter-Edgecombe, Maureen

2014-01-01

One of the many services that intelligent systems can provide is the automated assessment of resident well-being. We hypothesize that the functional health of individuals, or ability of individuals to perform activities independently without assistance, can be estimated by tracking their activities using smart home technologies. In this paper, we introduce a machine learning-based method for assessing activity quality in smart homes. To validate our approach we quantify activity quality for 179 volunteer participants who performed a complex, interweaved set of activities in our smart home apartment. We observed a statistically significant correlation (r=0.79) between automated assessment of task quality and direct observation scores. Using machine learning techniques to predict the cognitive health of the participants based on task quality is accomplished with an AUC value of 0.64. We believe that this capability is an important step in understanding everyday functional health of individuals in their home environments. PMID:25530925

Sport simulation as a form of implicit motor training in a geriatric athlete after stroke: a case report.

PubMed

Young, Sonia N; VanWye, William R; Wallmann, Harvey W

2018-06-25

To describe the use of sport simulation activities as a form of implicit motor learning training with a geriatric former athlete following a stroke. An active 76-year-old former professional male softball player presented to outpatient physical therapy with medical history of right stroke with left hemiparesis 2 weeks following onset of symptoms of impaired balance, coordination, gait, and motor planning. Initial physical therapy included gait, balance, and coordination training. Additional sport-related balance and coordination activities were later added to the treatment plan. After approximately 3 weeks of treatment, the patient was able to return to work and had dramatically improved balance, coordination, and gait with sport simulation activities. Implicit motor learning techniques were incorporated through sport and job task simulation activities along with task-oriented neuromuscular reeducation. The patient demonstrated improvements with gait, balance, gross motor function, and decreased fall risk.

Annotating smart environment sensor data for activity learning.

PubMed

Szewcyzk, S; Dwan, K; Minor, B; Swedlove, B; Cook, D

2009-01-01

The pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to monitor the functional health of smart home residents, we need to design technologies that recognize and track the activities that people perform at home. Machine learning techniques can perform this task, but the software algorithms rely upon large amounts of sample data that is correctly labeled with the corresponding activity. Labeling, or annotating, sensor data with the corresponding activity can be time consuming, may require input from the smart home resident, and is often inaccurate. Therefore, in this paper we investigate four alternative mechanisms for annotating sensor data with a corresponding activity label. We evaluate the alternative methods along the dimensions of annotation time, resident burden, and accuracy using sensor data collected in a real smart apartment.

Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex Tasks.

PubMed

Dawadi, Prafulla N; Cook, Diane J; Schmitter-Edgecombe, Maureen

2013-11-01

One of the many services that intelligent systems can provide is the automated assessment of resident well-being. We hypothesize that the functional health of individuals, or ability of individuals to perform activities independently without assistance, can be estimated by tracking their activities using smart home technologies. In this paper, we introduce a machine learning-based method for assessing activity quality in smart homes. To validate our approach we quantify activity quality for 179 volunteer participants who performed a complex, interweaved set of activities in our smart home apartment. We observed a statistically significant correlation (r=0.79) between automated assessment of task quality and direct observation scores. Using machine learning techniques to predict the cognitive health of the participants based on task quality is accomplished with an AUC value of 0.64. We believe that this capability is an important step in understanding everyday functional health of individuals in their home environments.

Neural Detection of Malicious Network Activities Using a New Direct Parsing and Feature Extraction Technique

DTIC Science & Technology

2015-09-01

intrusion detection systems , neural networks 15. NUMBER OF PAGES 75 16. PRICE CODE 17. SECURITY CLASSIFICATION OF... detection system (IDS) software, which learns to detect and classify network attacks and intrusions through prior training data. With the added criteria of...BACKGROUND The growing threat of malicious network activities and intrusion attempts makes intrusion detection systems (IDS) a

Outreach and educational activities in Russia

NASA Astrophysics Data System (ADS)

Gritsevich, M.; Kartashova, A.

2012-09-01

We present an overview of the major internal as well as international meetings and events held in Russia and dedicated to the integration, development and expanding of knowledge in Planetary Research. The report is complemented by the Europlanet activities in Russia over the last year, achieved goals and lessons learned. Additionally, we highlight current problems and possible future improvements to the present educational and outreach techniques.

Effectiveness of students worksheet based on mastery learning in genetics subject

NASA Astrophysics Data System (ADS)

Megahati, R. R. P.; Yanti, F.; Susanti, D.

2018-05-01

Genetics is one of the subjects that must be followed by students in Biology education department. Generally, students do not like the genetics subject because of genetics concepts difficult to understand and the unavailability of a practical students worksheet. Consequently, the complete learning process (mastery learning) is not fulfilled and low students learning outcomes. The aim of this study develops student worksheet based on mastery learning that practical in genetics subject. This research is a research and development using 4-D models. The data analysis technique used is the descriptive analysis that describes the results of the practicalities of students worksheets based on mastery learning by students and lecturer of the genetic subject. The result is the student worksheet based on mastery learning on genetics subject are to the criteria of 80,33% and 80,14%, which means that the students worksheet practical used by lecturer and students. Student’s worksheet based on mastery learning effective because it can increase the activity and student learning outcomes.

Blended learning in anesthesia education: current state and future model.

PubMed

Kannan, Jaya; Kurup, Viji

2012-12-01

Educators in anesthesia residency programs across the country are facing a number of challenges as they attempt to integrate blended learning techniques in their curriculum. Compared with the rest of higher education, which has made advances to varying degrees in the adoption of online learning anesthesiology education has been sporadic in the active integration of blended learning. The purpose of this review is to discuss the challenges in anesthesiology education and relevance of the Universal Design for Learning framework in addressing them. There is a wide chasm between student demand for online education and the availability of trained faculty to teach. The design of the learning interface is important and will significantly affect the learning experience for the student. This review examines recent literature pertaining to this field, both in the realm of higher education in general and medical education in particular, and proposes the application of a comprehensive learning model that is new to anesthesiology education and relevant to its goals of promoting self-directed learning.

Electroencephalographic neurofeedback: Level of evidence in mental and brain disorders and suggestions for good clinical practice.

PubMed

Micoulaud-Franchi, J-A; McGonigal, A; Lopez, R; Daudet, C; Kotwas, I; Bartolomei, F

2015-12-01

The technique of electroencephalographic neurofeedback (EEG NF) emerged in the 1970s and is a technique that measures a subject's EEG signal, processes it in real time, extracts a parameter of interest and presents this information in visual or auditory form. The goal is to effectuate a behavioural modification by modulating brain activity. The EEG NF opens new therapeutic possibilities in the fields of psychiatry and neurology. However, the development of EEG NF in clinical practice requires (i) a good level of evidence of therapeutic efficacy of this technique, (ii) a good practice guide for this technique. Firstly, this article investigates selected trials with the following criteria: study design with controlled, randomized, and open or blind protocol, primary endpoint related to the mental and brain disorders treated and assessed with standardized measurement tools, identifiable EEG neurophysiological targets, underpinned by pathophysiological relevance. Trials were found for: epilepsies, migraine, stroke, chronic insomnia, attentional-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, major depressive disorder, anxiety disorders, addictive disorders, psychotic disorders. Secondly, this article investigates the principles of neurofeedback therapy in line with learning theory. Different underlying therapeutic models are presented didactically between two continua: a continuum between implicit and explicit learning and a continuum between the biomedical model (centred on "the disease") and integrative biopsychosocial model of health (centred on "the illness"). The main relevant learning model is to link neurofeedback therapy with the field of cognitive remediation techniques. The methodological specificity of neurofeedback is to be guided by biologically relevant neurophysiological parameters. Guidelines for good clinical practice of EEG NF concerning technical issues of electrophysiology and of learning are suggested. These require validation by institutional structures for the clinical practice of EEG NF. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Predicting Solar Activity Using Machine-Learning Methods

NASA Astrophysics Data System (ADS)

Bobra, M.

2017-12-01

Of all the activity observed on the Sun, two of the most energetic events are flares and coronal mass ejections. However, we do not, as of yet, fully understand the physical mechanism that triggers solar eruptions. A machine-learning algorithm, which is favorable in cases where the amount of data is large, is one way to [1] empirically determine the signatures of this mechanism in solar image data and [2] use them to predict solar activity. In this talk, we discuss the application of various machine learning algorithms - specifically, a Support Vector Machine, a sparse linear regression (Lasso), and Convolutional Neural Network - to image data from the photosphere, chromosphere, transition region, and corona taken by instruments aboard the Solar Dynamics Observatory in order to predict solar activity on a variety of time scales. Such an approach may be useful since, at the present time, there are no physical models of flares available for real-time prediction. We discuss our results (Bobra and Couvidat, 2015; Bobra and Ilonidis, 2016; Jonas et al., 2017) as well as other attempts to predict flares using machine-learning (e.g. Ahmed et al., 2013; Nishizuka et al. 2017) and compare these results with the more traditional techniques used by the NOAA Space Weather Prediction Center (Crown, 2012). We also discuss some of the challenges in using machine-learning algorithms for space science applications.

Knowledge-Based Reinforcement Learning for Data Mining

NASA Astrophysics Data System (ADS)

Kudenko, Daniel; Grzes, Marek

Data Mining is the process of extracting patterns from data. Two general avenues of research in the intersecting areas of agents and data mining can be distinguished. The first approach is concerned with mining an agent’s observation data in order to extract patterns, categorize environment states, and/or make predictions of future states. In this setting, data is normally available as a batch, and the agent’s actions and goals are often independent of the data mining task. The data collection is mainly considered as a side effect of the agent’s activities. Machine learning techniques applied in such situations fall into the class of supervised learning. In contrast, the second scenario occurs where an agent is actively performing the data mining, and is responsible for the data collection itself. For example, a mobile network agent is acquiring and processing data (where the acquisition may incur a certain cost), or a mobile sensor agent is moving in a (perhaps hostile) environment, collecting and processing sensor readings. In these settings, the tasks of the agent and the data mining are highly intertwined and interdependent (or even identical). Supervised learning is not a suitable technique for these cases. Reinforcement Learning (RL) enables an agent to learn from experience (in form of reward and punishment for explorative actions) and adapt to new situations, without a teacher. RL is an ideal learning technique for these data mining scenarios, because it fits the agent paradigm of continuous sensing and acting, and the RL agent is able to learn to make decisions on the sampling of the environment which provides the data. Nevertheless, RL still suffers from scalability problems, which have prevented its successful use in many complex real-world domains. The more complex the tasks, the longer it takes a reinforcement learning algorithm to converge to a good solution. For many real-world tasks, human expert knowledge is available. For example, human experts have developed heuristics that help them in planning and scheduling resources in their work place. However, this domain knowledge is often rough and incomplete. When the domain knowledge is used directly by an automated expert system, the solutions are often sub-optimal, due to the incompleteness of the knowledge, the uncertainty of environments, and the possibility to encounter unexpected situations. RL, on the other hand, can overcome the weaknesses of the heuristic domain knowledge and produce optimal solutions. In the talk we propose two techniques, which represent first steps in the area of knowledge-based RL (KBRL). The first technique [1] uses high-level STRIPS operator knowledge in reward shaping to focus the search for the optimal policy. Empirical results show that the plan-based reward shaping approach outperforms other RL techniques, including alternative manual and MDP-based reward shaping when it is used in its basic form. We showed that MDP-based reward shaping may fail and successful experiments with STRIPS-based shaping suggest modifications which can overcome encountered problems. The STRIPSbased method we propose allows expressing the same domain knowledge in a different way and the domain expert can choose whether to define an MDP or STRIPS planning task. We also evaluated the robustness of the proposed STRIPS-based technique to errors in the plan knowledge. In case that STRIPS knowledge is not available, we propose a second technique [2] that shapes the reward with hierarchical tile coding. Where the Q-function is represented with low-level tile coding, a V-function with coarser tile coding can be learned in parallel and used to approximate the potential for ground states. In the context of data mining, our KBRL approaches can also be used for any data collection task where the acquisition of data may incur considerable cost. In addition, observing the data collection agent in specific scenarios may lead to new insights into optimal data collection behaviour in the respective domains. In future work, we intend to demonstrate and evaluate our techniques on concrete real-world data mining applications.

Developing an instrument to measure emotional behaviour abilities of meaningful learning through the Delphi technique.

PubMed

Cadorin, Lucia; Bagnasco, Annamaria; Tolotti, Angela; Pagnucci, Nicola; Sasso, Loredana

2017-09-01

To identify items for a new instrument that measures emotional behaviour abilities of meaningful learning, according to Fink's Taxonomy. Meaningful learning is an active process that promotes a wider and deeper understanding of concepts. It is the result of an interaction between new and previous knowledge and produces a long-term change of knowledge and skills. To measure meaningful learning capability, it is very important in the education of health professionals to identify problems or special learning needs. For this reason, it is necessary to create valid instruments. A Delphi Study technique was implemented in four phases by means of e-mail. The study was conducted from April-September 2015. An expert panel consisting of ten researchers with experience in Fink's Taxonomy was established to identify the items of the instrument. Data were analysed for conceptual description and item characteristics and attributes were rated. Expert consensus was sought in each of these phases. An 87·5% consensus cut-off was established. After four rounds, consensus was obtained for validation of the content of the instrument 'Assessment of Meaningful learning Behavioural and Emotional Abilities'. This instrument consists of 56 items evaluated on a 6-point Likert-type scale. Foundational Knowledge, Application, Integration, Human Dimension, Caring and Learning How to Learn were the six major categories explored. This content validated tool can help educators (teachers, trainers and tutors) to identify and improve the strategies to support students' learning capability, which could increase their awareness of and/or responsibility in the learning process. © 2017 John Wiley & Sons Ltd.

Assessing the effectiveness of a hybrid-flipped model of learning on fluid mechanics instruction: overall course performance, homework, and far- and near-transfer of learning

NASA Astrophysics Data System (ADS)

Harrison, David J.; Saito, Laurel; Markee, Nancy; Herzog, Serge

2017-11-01

To examine the impact of a hybrid-flipped model utilising active learning techniques, the researchers inverted one section of an undergraduate fluid mechanics course, reduced seat time, and engaged in active learning sessions in the classroom. We compared this model to the traditional section on four performance measures. We employed a propensity score method entailing a two-stage regression analysis that considered eight covariates to address the potential bias of treatment selection. First, we estimated the probability score based on the eight covariates, and second, we used the inverse of the probability score as a regression weight on the performance of learners who did not select into the hybrid course. Results suggest that enrolment in the hybrid-flipped section had a marginally significant negative impact on the total course score and a significant negative impact on homework performance, possibly because of poor video usage by the hybrid-flipped learners. Suggested considerations are also discussed.

Student’s social interaction in mathematics learning

NASA Astrophysics Data System (ADS)

Apriliyanto, B.; Saputro, D. R. S.; Riyadi

2018-03-01

Mathematics learning achievement is influenced by the internal and external factor of the students. One of the influencing external factors is social interaction with friends in learning activities. In modern learning, the learning is student-centered, so the student interaction is needed to learn about certain basic competence. Potential and motivation of students in learning are expected to develop with good social interaction in order to get maximum results. Social interaction is an important aspect of learning Mathematics because students get the opportunity to express their own thoughts in order to encourage a reflection on the knowledge they have. This research uses the correlational descriptive method involving 36 students for the tenth grade, eleventh grade, and twelfth grade of SMA Negeri 1 Wuryantoro and data collecting technique using questionnaire for social interaction and documentation for learning outcome. The result of this research shows that learning achievement and social interaction of students are not good. Based on the result of data analysis, it is shown that the social interaction and Mathematics learning achievement are still in the low level. This research concludes that students’ social interaction influences student learning achievement in Mathematics subjects.

An adaptive learning control system for large flexible structures

NASA Technical Reports Server (NTRS)

Thau, F. E.

1985-01-01

The objective of the research has been to study the design of adaptive/learning control systems for the control of large flexible structures. In the first activity an adaptive/learning control methodology for flexible space structures was investigated. The approach was based on using a modal model of the flexible structure dynamics and an output-error identification scheme to identify modal parameters. In the second activity, a least-squares identification scheme was proposed for estimating both modal parameters and modal-to-actuator and modal-to-sensor shape functions. The technique was applied to experimental data obtained from the NASA Langley beam experiment. In the third activity, a separable nonlinear least-squares approach was developed for estimating the number of excited modes, shape functions, modal parameters, and modal amplitude and velocity time functions for a flexible structure. In the final research activity, a dual-adaptive control strategy was developed for regulating the modal dynamics and identifying modal parameters of a flexible structure. A min-max approach was used for finding an input to provide modal parameter identification while not exceeding reasonable bounds on modal displacement.

A learning theory account of depression.

PubMed

Ramnerö, Jonas; Folke, Fredrik; Kanter, Jonathan W

2015-06-11

Learning theory provides a foundation for understanding and deriving treatment principles for impacting a spectrum of functional processes relevant to the construct of depression. While behavioral interventions have been commonplace in the cognitive behavioral tradition, most often conceptualized within a cognitive theoretical framework, recent years have seen renewed interest in more purely behavioral models. These modern learning theory accounts of depression focus on the interchange between behavior and the environment, mainly in terms of lack of reinforcement, extinction of instrumental behavior, and excesses of aversive control, and include a conceptualization of relevant cognitive and emotional variables. These positions, drawn from extensive basic and applied research, cohere with biological theories on reduced reward learning and reward responsiveness and views of depression as a heterogeneous, complex set of disorders. Treatment techniques based on learning theory, often labeled Behavioral Activation (BA) focus on activating the individual in directions that increase contact with potential reinforcers, as defined ideographically with the client. BA is considered an empirically well-established treatment that generalizes well across diverse contexts and populations. The learning theory account is discussed in terms of being a parsimonious model and ground for treatments highly suitable for large scale dissemination. © 2015 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Constrained Bayesian Active Learning of Interference Channels in Cognitive Radio Networks

NASA Astrophysics Data System (ADS)

Tsakmalis, Anestis; Chatzinotas, Symeon; Ottersten, Bjorn

2018-02-01

In this paper, a sequential probing method for interference constraint learning is proposed to allow a centralized Cognitive Radio Network (CRN) accessing the frequency band of a Primary User (PU) in an underlay cognitive scenario with a designed PU protection specification. The main idea is that the CRN probes the PU and subsequently eavesdrops the reverse PU link to acquire the binary ACK/NACK packet. This feedback indicates whether the probing-induced interference is harmful or not and can be used to learn the PU interference constraint. The cognitive part of this sequential probing process is the selection of the power levels of the Secondary Users (SUs) which aims to learn the PU interference constraint with a minimum number of probing attempts while setting a limit on the number of harmful probing-induced interference events or equivalently of NACK packet observations over a time window. This constrained design problem is studied within the Active Learning (AL) framework and an optimal solution is derived and implemented with a sophisticated, accurate and fast Bayesian Learning method, the Expectation Propagation (EP). The performance of this solution is also demonstrated through numerical simulations and compared with modified versions of AL techniques we developed in earlier work.

A neural network model for credit risk evaluation.

PubMed

Khashman, Adnan

2009-08-01

Credit scoring is one of the key analytical techniques in credit risk evaluation which has been an active research area in financial risk management. This paper presents a credit risk evaluation system that uses a neural network model based on the back propagation learning algorithm. We train and implement the neural network to decide whether to approve or reject a credit application, using seven learning schemes and real world credit applications from the Australian credit approval datasets. A comparison of the system performance under the different learning schemes is provided, furthermore, we compare the performance of two neural networks; with one and two hidden layers following the ideal learning scheme. Experimental results suggest that neural networks can be effectively used in automatic processing of credit applications.

Issues Curriculum.

ERIC Educational Resources Information Center

Sando, Joe S.

A program for teaching techniques of critical thinking on issues concerning American Indians was developed for students at Albuquerque Indian School. It was designed to include not only the students but also their families with learning activities that required consultation in search of answers or understanding. The first issue presented sought to…

Practicing Algebraic Skills: A Conceptual Approach

ERIC Educational Resources Information Center

Friedlander, Alex; Arcavi, Abraham

2012-01-01

Traditionally, a considerable part of teaching and learning algebra has focused on routine practice and the application of rules, procedures, and techniques. Although today's computerized environments may have decreased the need to master algebraic skills, procedural competence is still a central component in any mathematical activity. However,…

Sexual Risk Taking: For Better or Worse

ERIC Educational Resources Information Center

Wyatt, Tammy

2009-01-01

Risk assessment can be an effective pedagogical strategy for sexuality education. Objectives: After learning about the modes of transmission and prevention strategies of sexually transmitted infections (STIs), students engaged in this teaching technique will define sexual intercourse and sexual activity, assess the level of STI risk associated…

"Make It Explicit!": Improving Collaboration through Increase of Script Coercion

ERIC Educational Resources Information Center

Papadopoulos, P. M.; Demetriadis, S. N.; Weinberger, A.

2013-01-01

This paper investigates the impact of the proposed "Make It Explicit!" technique on students' learning when participating in scripted collaborative activities. The method posits that when asking students to proactively articulate their own positions explicitly, then improved peer interaction is triggered in a subsequent…

Life on Guam: Farm & Garden. 1977 Edition.

ERIC Educational Resources Information Center

Moore, Philip H.

As part of an updated series of activity oriented educational materials dealing with aspects of the Guam environment, this publication focuses on backyard gardening and nursery methods. Included in this "How to Do It" learning resource are such agricultural techniques as hydroponics, grafting and budding, and fertilizing. This…

Learning polynomial feedforward neural networks by genetic programming and backpropagation.

PubMed

Nikolaev, N Y; Iba, H

2003-01-01

This paper presents an approach to learning polynomial feedforward neural networks (PFNNs). The approach suggests, first, finding the polynomial network structure by means of a population-based search technique relying on the genetic programming paradigm, and second, further adjustment of the best discovered network weights by an especially derived backpropagation algorithm for higher order networks with polynomial activation functions. These two stages of the PFNN learning process enable us to identify networks with good training as well as generalization performance. Empirical results show that this approach finds PFNN which outperform considerably some previous constructive polynomial network algorithms on processing benchmark time series.

Using active learning strategies to investigate student learning and attitudes in a large enrollment, introductory geology course

NASA Astrophysics Data System (ADS)

Berry, Stacy Jane

There has been an increased emphasis for college instruction to incorporate more active and collaborative involvement of students in the learning process. These views have been asserted by The Association of American Colleges (AAC), the National Science Foundation (NSF), and The National Research Counsel (NRC), which are advocating for the modification of traditional instructional techniques to allow students the opportunity to be more cooperative (Task Group on General Education, 1988). This has guided educators and facilitators into shifting teaching paradigms from a teacher centered to a more student-centered curriculum. The present study investigated achievement outcomes and attitudes of learners in a large enrollment (n ~ 200), introductory geology course using a student centered learning cycle format of instruction versus another similar section that used a traditional lecture format. Although the course is a recruiting class for majors, over 95% of the students that enroll are non-majors. Measurements of academic evaluation were through four unit exams, classroom communication systems, weekly web-based homework, in-class activities, and a thematic collaborative poster/paper project and presentation. The qualitative methods to investigate the effectiveness of the teaching design included: direct observation, self-reporting about learning, and open-ended interviews. By disaggregating emerging data, we tried to concentrate on patterns and causal relationships between achievement performance and attitudes regarding learning geology. Statistical analyses revealed positive relationships between student engagement in supplemental activities and achievement mean scores within and between the two sections. Completing weekly online homework had the most robust relationship with overall achievement performance. Contrary to expectations, a thematic group project only led to modest gains in achievement performance, although the social and professional gains could be considered as significant as the academic merit. The qualitative data substantiated the achievement success and revealed a positive relationship between a student centered learning environment and attitudes regarding learning geology. Our findings indicated a positive trend favoring active learning instructional practices, particularly methods that emphasize independent and active thinking, and analyzing of data. Of particular interest was the correlation between the amount of student ownership in an activity and students' attitude toward authenticity and application in learning. Students' perceptions and attitudes provided depth in program evaluation and helped in identifying which components used in teaching methodologies were the most effective towards learning. Although the exigencies of high enrollment introductory courses set limits for this study, the outcomes support the positive influence that active learning has on achievement performance in a high enrollment, introductory Geology course.

Action Research to Improve the Learning Space for Diagnostic Techniques.

PubMed

Ariel, Ellen; Owens, Leigh

2015-12-01

The module described and evaluated here was created in response to perceived learning difficulties in diagnostic test design and interpretation for students in third-year Clinical Microbiology. Previously, the activities in lectures and laboratory classes in the module fell into the lower cognitive operations of "knowledge" and "understanding." The new approach was to exchange part of the traditional activities with elements of interactive learning, where students had the opportunity to engage in deep learning using a variety of learning styles. The effectiveness of the new curriculum was assessed by means of on-course student assessment throughout the module, a final exam, an anonymous questionnaire on student evaluation of the different activities and a focus group of volunteers. Although the new curriculum enabled a major part of the student cohort to achieve higher pass grades (p < 0.001), it did not meet the requirements of the weaker students, and the proportion of the students failing the module remained at 34%. The action research applied here provided a number of valuable suggestions from students on how to improve future curricula from their perspective. Most importantly, an interactive online program that facilitated flexibility in the learning space for the different reagents and their interaction in diagnostic tests was proposed. The methods applied to improve and assess a curriculum refresh by involving students as partners in the process, as well as the outcomes, are discussed. Journal of Microbiology & Biology Education.

Effective, Active Learning Strategies for the Oceanography Classroom

NASA Astrophysics Data System (ADS)

Dmochowski, J. E.; Marinov, I.

2014-12-01

A decline in enrollment in STEM fields at the university level has prompted extensive research on alternative ways of teaching and learning science. Inquiry-based learning as well as the related "flipped" or "active" lectures, and similar teaching methods and philosophies have been proposed as more effective ways to disseminate knowledge in science classes than the traditional lecture. We will provide a synopsis of our experiences in implementing some of these practices into our Introductory Oceanography, Global Climate Change, and Ocean Atmosphere Dynamics undergraduate courses at the University of Pennsylvania, with both smaller and larger enrollments. By implementing tools such as at-home modules; computer labs; incorporation of current research; pre- and post-lecture quizzes; reflective, qualitative writing assignments; peer review; and a variety of in-class learning strategies, we aim to increase the science literacy of the student population and help students gain a more comprehensive knowledge of the topic, enhance their critical thinking skills, and correct misconceptions. While implementing these teaching techniques with college students is not without complications, we argue that a blended class that flexibly and creatively accounts for class size and science level improves the learning experience and the acquired knowledge. We will present examples of student assignments and activities as well as describe the lessons we have learned, and propose ideas for moving forward to best utilize innovative teaching tools in order to increase science literacy in oceanography and other climate-related courses.

Peer coaching as a technique to foster professional development in clinical ambulatory settings.

PubMed

Sekerka, Leslie E; Chao, Jason

2003-01-01

Few studies have examined how peer coaching is an effective educational and development technique in contexts outside the classroom. This research focused on peer coaching as a platform to study the process of professional development for physicians. The purpose was to identify perceived benefits coaches received from a coaching encounter and how this relates to their own process of professional development. Critical incident interviews with 13 physician coaches were conducted and tape recorded. Themes were identified using a thematic analysis technique. Themes emerged clustering around two distinct benefit orientations. Group 1, reflection and teaching coaches, tended to focus on others and discuss how positively they experienced the encounter. Group 2, personal learning and change coaches, expressed benefits along more personal lines. Peer coaching contributes to physicians' professional development by encouraging reflection time and learning. Peer coaching affords positive impact to those who coach in addition to those who receive the coaching. The two clusters of benefits support the performance, learning, and development theory in that there are multiple modes to describe adult growth and development. Programs of this type should be considered in medical faculty development activities associated with medical education.

Active Learning with Ubiquitous Presenter and Tablet PCs

NASA Astrophysics Data System (ADS)

Price, Edward; Simon, B.

2006-12-01

Ubiquitous Presenter (UP)* is a digital presentation system that facilitates spontaneity and interactivity in the classroom. Using the system, an instructor with a Tablet PC can spontaneously modify prepared slides. Furthermore, students with web-enabled devices can add digital 'ink' or text to the instructor's slides and submit them to the instructor during class. We have used this system to facilitate interactive engagement techniques in an introductory physics class where approximately one-third of the students had access to a Tablet PC during class. Class time was used for Interactive Lecture Demonstrations, Peer Instruction, and group problem solving. We describe the implementation of these active learning activities with UP and Tablet PCs, show examples of student contributions, and describe the impact on the classroom setting. *http://up.ucsd.edu/about/

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: Attitude control results

NASA Technical Reports Server (NTRS)

Jani, Yashvant

1992-01-01

As part of the RICIS activity, the reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Max satellite simulation. This activity is carried out in the software technology laboratory utilizing the Orbital Operations Simulator (OOS). This report is deliverable D2 Altitude Control Results and provides the status of the project after four months of activities and outlines the future plans. In section 2 we describe the Fuzzy-Learner system for the attitude control functions. In section 3, we provide the description of test cases and results in a chronological order. In section 4, we have summarized our results and conclusions. Our future plans and recommendations are provided in section 5.

The Effect of Learning Based on Technology Model and Assessment Technique toward Thermodynamic Learning Achievement

NASA Astrophysics Data System (ADS)

Makahinda, T.

2018-02-01

The purpose of this research is to find out the effect of learning model based on technology and assessment technique toward thermodynamic achievement by controlling students intelligence. This research is an experimental research. The sample is taken through cluster random sampling with the total respondent of 80 students. The result of the research shows that the result of learning of thermodynamics of students who taught the learning model of environmental utilization is higher than the learning result of student thermodynamics taught by simulation animation, after controlling student intelligence. There is influence of student interaction, and the subject between models of technology-based learning with assessment technique to student learning result of Thermodynamics, after controlling student intelligence. Based on the finding in the lecture then should be used a thermodynamic model of the learning environment with the use of project assessment technique.

How to facilitate freshmen learning and support their transition to a university study environment

NASA Astrophysics Data System (ADS)

Kangas, Jari; Rantanen, Elisa; Kettunen, Lauri

2017-11-01

Most freshmen enter universities with high expectations and with good motivation, but too many are driven into performing instead of true learning. The issues are not only related to the challenge of comprehending the substance, social and other factors have an impact as well. All these multifaceted needs should be accounted for to facilitate student learning. Learning is an individual process and remarkable improvement in the learning practices is possible, if proper actions are addressed early enough. We motivate and describe a study of the experience obtained from a set of tailor-made courses that were given alongside standard curriculum. The courses aimed to provide a 'safe community' to address the multifaceted needs. Such support was integrated into regular coursework where active learning techniques, e.g. interactive small groups were incorporated. To assess impact of the courses we employ the feedback obtained during the courses and longitudinal statistical data about students' success.

Student’s STEM Literacy in Biotechnology Learning at Junior High School

NASA Astrophysics Data System (ADS)

Nurlaely, N.; Permanasari, A.; Riandi, R.

2017-09-01

A considerable study to student’s STEM literacy achievement profile, especially in biotechnology learning, has been conducted to make the innovation of the STEM-based learning. The study aims to find out the STEM literacy. The sample is taken through purposive sampling technique to 45 students of 9th grade of a junior high school in Tasikmalaya district. The instruments are multiple choice questions. Data are analysed by calculating mean score of students’ STEM literacy achievement. The results show that student’s STEM literacy achievement was low. Science literacy aspect was the lowest, while mathematical literacy gained better than another aspect. The low achievement of students’ STEM literacy was because of learning activities that have not been able to integrate science, technology, engineering, and mathematics in science learning. The literacy profile indicates the importance of applying STEM approach to science learning, and it is recommended to improve students’ STEM literacy achievement.

Collaborative Classroom Simulation (CCS): An Innovative Pedagogy Using Simulation in Nursing Education.

PubMed

Berndt, Jodi; Dinndorf-Hogenson, Georgia; Herheim, Rena; Hoover, Carrie; Lanc, Nicole; Neuwirth, Janet; Tollefson, Bethany

2015-01-01

Collaborative Classroom Simulation (CCS) is a pedagogy designed to provide a simulation learning experience for a classroom of students simultaneously through the use of unfolding case scenarios. The purpose of this descriptive study was to explore the effectiveness of CCS based on student perceptions. Baccalaureate nursing students (n = 98) participated in the study by completing a survey after participation in the CCS experience. Opportunities for collaboration, clinical judgment, and participation as both observer and active participant were seen as strengths of the experience. Developed as a method to overcome barriers to simulation, CCS was shown to be an effective active learning technique that may prove to be sustainable.

Professional development in statistics, technology, and cognitively demanding tasks: classroom implementation and obstacles

NASA Astrophysics Data System (ADS)

Foley, Gregory D.; Bakr Khoshaim, Heba; Alsaeed, Maha; Nihan Er, S.

2012-03-01

Attending professional development programmes can support teachers in applying new strategies for teaching mathematics and statistics. This study investigated (a) the extent to which the participants in a professional development programme subsequently used the techniques they had learned when teaching mathematics and statistics and (b) the obstacles they encountered in enacting cognitively demanding instructional tasks in their classrooms. The programme created an intellectual learning community among the participants and helped them gain confidence as teachers of statistics, and the students of participating teachers became actively engaged in deep mathematical thinking. The participants indicated, however, that time, availability of resources and students' prior achievement critically affected the implementation of cognitively demanding instructional activities.

Sensory grammars for sensor networks

PubMed Central

Aloimonos, Yiannis

2009-01-01

One of the major goals of Ambient Intelligence and Smart Environments is to interpret human activity sensed by a variety of sensors. In order to develop useful technologies and a subsequent industry around smart environments, we need to proceed in a principled manner. This paper suggests that human activity can be expressed in a language. This is a special language with its own phonemes, its own morphemes (words) and its own syntax and it can be learned using machine learning techniques applied to gargantuan amounts of data collected by sensor networks. Developing such languages will create bridges between Ambient Intelligence and other disciplines. It will also provide a hierarchical structure that can lead to a successful industry. PMID:21897837

Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

PubMed

Aparicio, Fernando; Morales-Botello, María Luz; Rubio, Margarita; Hernando, Asunción; Muñoz, Rafael; López-Fernández, Hugo; Glez-Peña, Daniel; Fdez-Riverola, Florentino; de la Villa, Manuel; Maña, Manuel; Gachet, Diego; Buenaga, Manuel de

2018-04-01

Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education. The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers. Eleven teachers of degree courses who belonged to the Faculties of Biomedical Sciences (BS) and Health Sciences (HS) of a Spanish university in Madrid were individually interviewed. These interviews were conducted using a mixed methods questionnaire that included 66 predefined close-ended and open-ended questions. In our study, three intelligent information access systems (i.e., BioAnnote, CLEiM and MedCMap) were successfully used to evaluate the teacher's perceptions regarding the utility of these systems and their different methods in learning activities. All teachers reported using active learning methods in the classroom, most of which were computer programs that were used for initially designing and later executing learning activities. All teachers used case-based learning methods in the classroom, with a specific emphasis on case reports written in Spanish and/or English. In general, few or none of the teachers were familiar with the technical terms related to the technologies used for these activities such as "intelligent systems" or "concept/mental maps". However, they clearly realized the potential applicability of such approaches in both the preparation and the effective use of these activities in the classroom. Specifically, the themes highlighted by a greater number of teachers after analyzing the responses to the open-ended questions were the usefulness of BioAnnote system to provide reliable sources of medical information and the usefulness of the bilingual nature of CLEiM system for learning medical terminology in English. Three intelligent information access systems were successfully used to evaluate the teacher's perceptions regarding the utility of these systems in learning activities. The results of this study showed that integration of reliable sources of information, bilingualism and selective annotation of concepts were the most valued features by the teachers, who also considered the incorporation of these systems into learning activities to be potentially very useful. In addition, in the context of our experimental conditions, our work provides useful insights into the way to appropriately integrate this type of intelligent information access systems into learning activities, revealing key themes to consider when developing such approaches. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Enhanced Quality Control in Pharmaceutical Applications by Combining Raman Spectroscopy and Machine Learning Techniques

NASA Astrophysics Data System (ADS)

Martinez, J. C.; Guzmán-Sepúlveda, J. R.; Bolañoz Evia, G. R.; Córdova, T.; Guzmán-Cabrera, R.

2018-06-01

In this work, we applied machine learning techniques to Raman spectra for the characterization and classification of manufactured pharmaceutical products. Our measurements were taken with commercial equipment, for accurate assessment of variations with respect to one calibrated control sample. Unlike the typical use of Raman spectroscopy in pharmaceutical applications, in our approach the principal components of the Raman spectrum are used concurrently as attributes in machine learning algorithms. This permits an efficient comparison and classification of the spectra measured from the samples under study. This also allows for accurate quality control as all relevant spectral components are considered simultaneously. We demonstrate our approach with respect to the specific case of acetaminophen, which is one of the most widely used analgesics in the market. In the experiments, commercial samples from thirteen different laboratories were analyzed and compared against a control sample. The raw data were analyzed based on an arithmetic difference between the nominal active substance and the measured values in each commercial sample. The principal component analysis was applied to the data for quantitative verification (i.e., without considering the actual concentration of the active substance) of the difference in the calibrated sample. Our results show that by following this approach adulterations in pharmaceutical compositions can be clearly identified and accurately quantified.

Evaluation Study of Pedagogical Methods and E - Learning Material via Web 2.0 for Hearing Impaired People

NASA Astrophysics Data System (ADS)

Vrettaros, John; Argiri, Katerina; Stavrou, Pilios; Hrissagis, Kostas; Drigas, Athanasios

The primary goal of this paper is to study whether WEB 2.0 tools such as blogs, wikis, social networks and typical hypermedia as well as techniques such as lip - reading, video - sign language and learning activities are appropriate to use for learning purpose for deaf and hard of hearing people. In order to check the extent in which the choices mentioned above are compatible with the features of the specific group and maximize the learning results we designed an empirical study which will be presented below. The study was conducted in the context of SYNERGIA, a project of Leonardo da Vinci of Lifelong Learning Programme, in the section of MULTILATERAL PROJECTS TRANSFER OF INNOVATION, The evaluation was conducted on data that came up through questionnaire analysis.

Direct interventions for improving the performance of individuals with Alzheimer's disease.

PubMed

Mahendra, N

2001-11-01

Direct interventions are being used increasingly to maintain and improve the communicative and cognitive functioning of patients with Alzheimer's dementia. Speech-language pathologists can play an integral role in maximizing the functioning of dementia patients by selecting appropriate direct interventions that capitalize on spared neuropsychological abilities to compensate for impaired abilities. Successful direct interventions use techniques that facilitate learning and retention of information and skills. In this article, direct intervention techniques-repeated exposure via spaced retrieval training and quizzes; errorless learning; multisensory stimulation using music, toys, pets, and memory wallets; and other approaches to cognitive-linguistic stimulation such as the use of personal computers; the Montessori method; and activity programming-are reviewed. The rationale for use of these direct interventions and available efficacy data with Alzheimer's patients also are presented.

Electricity. Electrical Appliance Serviceman (Major Resistive Type).

ERIC Educational Resources Information Center

Moughan, John P.; And Others

Two types of materials comprise the curriculum guide: descriptive information about student, job and individualized instruction techniques for use by the instructor and a set of 10 learning activity packages for the student. Together, these form a work unit which, when successfully completed by the student, provides the necessary skills for an…

Combined Teaching Method: An Experimental Study

ERIC Educational Resources Information Center

Kolesnikova, Iryna V.

2016-01-01

The search for the best approach to business education has led educators and researchers to seek many different teaching strategies, ranging from the traditional teaching methods to various experimental approaches such as active learning techniques. The aim of this experimental study was to compare the effects of the traditional and combined…

Using Lemna to Study Geometric Population Growth.

ERIC Educational Resources Information Center

DeBuhr, Larry E.

1991-01-01

An experiment in which students collect and analyze data on the population size of a real organism rather that on a model is presented. The activity allows for the integration of mathematics, graphing techniques, and the use of computers. The lesson is designed to follow the learning cycle format. (KR)

Renovating Literacy Centers for Middle Grades: Differentiating, Reteaching, and Motivating

ERIC Educational Resources Information Center

Hodges, Tracey S.; McTigue, Erin M.

2014-01-01

Remixing traditional and new teaching techniques via literacy centers can restructure middle grades language arts classrooms to promote student movement, autonomy, and creativity. Literacy centers provide a set of individual, developmentally appropriate learning activities that can be updated daily to match current objectives, but do not need to…

Goals, the Learner, and the Language Arts.

ERIC Educational Resources Information Center

Ediger, Marlow

Teachers, principals, and supervisors need to determine the kinds of learners being taught in the school/class setting. Are pupils good by nature, bad, or neutral? Concepts held pertaining to each pupil assist in determining objectives, learning activities, and evaluation techniques. The Puritans believed that individuals were born evil or sinful.…

Enhancement of Educational Effect Through Extensive and Intensive Intervention--The Gulfport Project.

ERIC Educational Resources Information Center

Goolsby, Thomas M., Jr.; Frary, Robert B.

Two hundred first grade children participated in an experimental program involving innovative curricula and instructional techniques. A pretest-posttest method of instruction, employing sequenced and structured learning activities, enabled each child to progress at an individual rate and was supplemented by a readiness program. Evaluation of the…

Using an Electronic Highlighter to Eliminate the Negative Effects of Pre-Existing, Inappropriate Highlighting

ERIC Educational Resources Information Center

Gier, Vicki; Kreiner, David; Hudnell, Jason; Montoya, Jodi; Herring, Daniel

2011-01-01

The purpose of the present experiment was to determine whether using an active learning technique, electronic highlighting, can eliminate the negative effects of pre-existing, poor highlighting on reading comprehension. Participants read passages containing no highlighting, appropriate highlighting, or inappropriate highlighting. We hypothesized…

Multiple microbial activity-based measures reflect effects of cover cropping and tillage on soils

USDA-ARS?s Scientific Manuscript database

Agricultural producers, conservation professionals, and policy makers are eager to learn of soil analytical techniques and data that document improvement in soil health by agricultural practices such as no-till and incorporation of cover crops. However, there is considerable uncertainty within the r...

Wargaming in Higher Education: Contributions and Challenges

ERIC Educational Resources Information Center

Sabin, Philip

2015-01-01

Wargames, especially on historical conflicts, do not currently play much part in the booming academic use of simulation and gaming techniques. This is despite the fact that they offer rich vehicles for active learning and interactive exploration of conflict dynamics. Constraints of time, expertise and resources do make it challenging to employ…

A Rent-Seeking Experiment for the Classroom

ERIC Educational Resources Information Center

Strow, Brian Kent; Strow, Claudia Wood

2007-01-01

Recent research has demonstrated that active learning techniques improve student comprehension and retention of abstract economic ideas such as rent seeking. Instructors can reinforce the concept of rent seeking with a classroom game, particularly one involving real money. The authors improve upon a game first introduced by Goeree and Holt (1999)…

Introducing the Action Potential to Psychology Students

ERIC Educational Resources Information Center

Simon-Dack, Stephanie L.

2014-01-01

For this simple active learning technique for teaching, students are assigned "roles" and act out the process of the action potential (AP), including the firing threshold, ion-specific channels for ions to enter and leave the cell, diffusion, and the refractory period. Pre-post test results indicated that students demonstrated increased…

Grandma Moses Meets Eric Carle

ERIC Educational Resources Information Center

Sutley, Jane

2012-01-01

This activity features artwork by "Grandma Moses" in which children will learn the picture plane in terms of foreground, middle ground, and background. The teacher also introduces the children to Eric Carle's colorful collaged images in his books. Using the two artists' methods, children experimented and invented new techniques and colors. As the…

Handling Hypothermia.

ERIC Educational Resources Information Center

Saho, S. Bamba

1996-01-01

Presents a unit on the body's response to hypothermia. Includes activities in which students measure the amount of heat absorbed by a white piece of cloth and a black piece of the same material, use cooperative-learning techniques to design a graphic organizer that explains metabolic responses to cold stress, and study the effect of temperature on…

Laptop Computers in the Elementary Classroom: Authentic Instruction with At-Risk Students

ERIC Educational Resources Information Center

Kemker, Kate; Barron, Ann E.; Harmes, J. Christine

2007-01-01

This case study investigated the integration of laptop computers into an elementary classroom in a low socioeconomic status (SES) school. Specifically, the research examined classroom management techniques and aspects of authentic learning relative to the student projects and activities. A mixed methods approach included classroom observations,…

Current Domestic Problems, Social Studies: 6416.18.

ERIC Educational Resources Information Center

Moore, John A.

Secondary students learn to deal objectively with domestic issues and problems in this quinmester elective course. Emphasis is upon providing students with an opportunity for indepth study in critical thinking on current controversial issues, using activity units as a principal teaching technique. The objectives are for students to identify and…

The Benefits of Meditation for Outdoor Education.

ERIC Educational Resources Information Center

Ettenger, Jim

Outdoor education is not merely about learning outdoor skills; it should also involve self-reflective activities. Meditation is a technique used for self-reflection, has many proven psychological and physiological benefits, and would be a good addition to any wilderness program. Research has shown that the psychological benefits of meditation…

Technology To Enhance Vocabulary Acquisition: Metacognitive, Multisensory and Motivational.

ERIC Educational Resources Information Center

Rothschild, Lois H.

This paper presents a method to help high school students with learning disabilities increase their vocabulary in preparation for college, including preparation for college entrance examinations such as the Scholastic Assessment Tests (SATs). The approach focuses on the use of elaborative techniques in which students actively generate meanings and…

Fourth Graders Make Inventions Using SCAMPER and Animal Adaptation Ideas

ERIC Educational Resources Information Center

Hussain, Mahjabeen; Carignan, Anastasia

2016-01-01

This study explores to what extent the SCAMPER (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, and Rearrange) technique combined with animal adaptation ideas learned through form and function analogy activities can help fourth graders generate creative ideas while augmenting their inventiveness. The sample consisted of 24…

A system for diagnosis, referral, and rehabilitation of persons convicted of driving while intoxicated : a special rehabilitation program for multiple offenders

DOT National Transportation Integrated Search

1977-11-01

A rehabilitation program is presented for multiple DWI offenders. The program includes education related to alcohol use and abuse and therapeutic activities to help a client learn new techniques for living and alternatives to alcohol abuse. /Abstract...

Intra-amygdala microinfusion of IL-6 impairs the auditory fear conditioning of rats via JAK/STAT activation.

PubMed

Hao, Yongxin; Jing, He; Bi, Qiang; Zhang, Jiaozhen; Qin, Ling; Yang, Pingting

2014-12-15

Though accumulating literature implicates that cytokines are involved in the pathophysiology of mental disorders, the role of interleukin-6 (IL-6) in learning and memory functions remains unresolved. The present study was undertaken to investigate the effect of IL-6 on amygdala-dependent fear learning. Adult Wistar rats were used along with the auditory fear conditioning test and pharmacological techniques. The data showed that infusions of IL-6, aimed at the amygdala, dose-dependently impaired the acquisition and extinction of conditioned fear. In addition, the results in the Western blot analysis confirmed that JAK/STAT was temporally activated-phosphorylated by the IL-6 treatment. Moreover, the rats were treated with JSI-124, a JAK/STAT3 inhibitor, prior to the IL-6 treatment showed a significant decrease in the IL-6 induced impairments of fear conditioning. Taken together, our results demonstrate that the learning behavior of rats in the auditory fear conditioning could be modulated by IL-6 via the amygdala. Furthermore, the JAK/STAT3 activation in the amygdala seemed to play a role in the IL-6 mediated behavioral alterations of rats in auditory fear learning. Copyright © 2014 Elsevier B.V. All rights reserved.

Acceptance of e-learning devices by dental students.

PubMed

Schulz, Peter; Sagheb, Keyvan; Affeldt, Harald; Klumpp, Hannah; Taylor, Kathy; Walter, Christian; Al-Nawas, Bilal

2013-01-01

E-Learning programs and their corresponding devices are increasingly employed to educate dental students during their clinical training. Recent progress made in the development of e-learning software as well as in hardware (computers, tablet PCs, smartphones) caused us to more closely investigate into the habits of dental students in dealing with these learning techniques. Dental students during their clinical training attended a survey compiled in cooperation with biostatisticians. The questionnaire probands were asked to complete based on previous surveys of similar subjects, allowing single as well as multiple answers. The data, which were obtained with respect to the learning devices students commonly employ, were compared with their internet learning activities. The e-learning devices utilized are of heterogeneous brands. Each student has access to at least one hardware type suitable for e-learning. All students held mobile devices, about 90 percent employed laptops, and about 60 percent possess smartphones. Unexceptional all participants of the survey acknowledged an unlimited internet access. In contrast, only 16 percent of students utilized tablet PCs. A detailed analysis of the survey outcome reveals that an increasing use of mobile devices (tablet PC, smartphone) facilitates internet learning activities while at the same time utilization of computers (desktop, laptop) declines. Dental students overwhelmingly accept e-learning during their clinical training. Students report outstanding preconditions to conduct e-learning as both their access to hardware and to the internet is excellent. Less satisfying is the outcome of our survey regarding the utilization of e-learning programs. Depending of the hardware employed only one-third to barely one-half of students comprise learning programs.

Improving Students' Learning With Effective Learning Techniques: Promising Directions From Cognitive and Educational Psychology.

PubMed

Dunlosky, John; Rawson, Katherine A; Marsh, Elizabeth J; Nathan, Mitchell J; Willingham, Daniel T

2013-01-01

Many students are being left behind by an educational system that some people believe is in crisis. Improving educational outcomes will require efforts on many fronts, but a central premise of this monograph is that one part of a solution involves helping students to better regulate their learning through the use of effective learning techniques. Fortunately, cognitive and educational psychologists have been developing and evaluating easy-to-use learning techniques that could help students achieve their learning goals. In this monograph, we discuss 10 learning techniques in detail and offer recommendations about their relative utility. We selected techniques that were expected to be relatively easy to use and hence could be adopted by many students. Also, some techniques (e.g., highlighting and rereading) were selected because students report relying heavily on them, which makes it especially important to examine how well they work. The techniques include elaborative interrogation, self-explanation, summarization, highlighting (or underlining), the keyword mnemonic, imagery use for text learning, rereading, practice testing, distributed practice, and interleaved practice. To offer recommendations about the relative utility of these techniques, we evaluated whether their benefits generalize across four categories of variables: learning conditions, student characteristics, materials, and criterion tasks. Learning conditions include aspects of the learning environment in which the technique is implemented, such as whether a student studies alone or with a group. Student characteristics include variables such as age, ability, and level of prior knowledge. Materials vary from simple concepts to mathematical problems to complicated science texts. Criterion tasks include different outcome measures that are relevant to student achievement, such as those tapping memory, problem solving, and comprehension. We attempted to provide thorough reviews for each technique, so this monograph is rather lengthy. However, we also wrote the monograph in a modular fashion, so it is easy to use. In particular, each review is divided into the following sections: General description of the technique and why it should work How general are the effects of this technique?  2a. Learning conditions  2b. Student characteristics  2c. Materials  2d. Criterion tasks Effects in representative educational contexts Issues for implementation Overall assessment The review for each technique can be read independently of the others, and particular variables of interest can be easily compared across techniques. To foreshadow our final recommendations, the techniques vary widely with respect to their generalizability and promise for improving student learning. Practice testing and distributed practice received high utility assessments because they benefit learners of different ages and abilities and have been shown to boost students' performance across many criterion tasks and even in educational contexts. Elaborative interrogation, self-explanation, and interleaved practice received moderate utility assessments. The benefits of these techniques do generalize across some variables, yet despite their promise, they fell short of a high utility assessment because the evidence for their efficacy is limited. For instance, elaborative interrogation and self-explanation have not been adequately evaluated in educational contexts, and the benefits of interleaving have just begun to be systematically explored, so the ultimate effectiveness of these techniques is currently unknown. Nevertheless, the techniques that received moderate-utility ratings show enough promise for us to recommend their use in appropriate situations, which we describe in detail within the review of each technique. Five techniques received a low utility assessment: summarization, highlighting, the keyword mnemonic, imagery use for text learning, and rereading. These techniques were rated as low utility for numerous reasons. Summarization and imagery use for text learning have been shown to help some students on some criterion tasks, yet the conditions under which these techniques produce benefits are limited, and much research is still needed to fully explore their overall effectiveness. The keyword mnemonic is difficult to implement in some contexts, and it appears to benefit students for a limited number of materials and for short retention intervals. Most students report rereading and highlighting, yet these techniques do not consistently boost students' performance, so other techniques should be used in their place (e.g., practice testing instead of rereading). Our hope is that this monograph will foster improvements in student learning, not only by showcasing which learning techniques are likely to have the most generalizable effects but also by encouraging researchers to continue investigating the most promising techniques. Accordingly, in our closing remarks, we discuss some issues for how these techniques could be implemented by teachers and students, and we highlight directions for future research. © The Author(s) 2013.

Epileptic seizure detection in EEG signal using machine learning techniques.

PubMed

Jaiswal, Abeg Kumar; Banka, Haider

2018-03-01

Epilepsy is a well-known nervous system disorder characterized by seizures. Electroencephalograms (EEGs), which capture brain neural activity, can detect epilepsy. Traditional methods for analyzing an EEG signal for epileptic seizure detection are time-consuming. Recently, several automated seizure detection frameworks using machine learning technique have been proposed to replace these traditional methods. The two basic steps involved in machine learning are feature extraction and classification. Feature extraction reduces the input pattern space by keeping informative features and the classifier assigns the appropriate class label. In this paper, we propose two effective approaches involving subpattern based PCA (SpPCA) and cross-subpattern correlation-based PCA (SubXPCA) with Support Vector Machine (SVM) for automated seizure detection in EEG signals. Feature extraction was performed using SpPCA and SubXPCA. Both techniques explore the subpattern correlation of EEG signals, which helps in decision-making process. SVM is used for classification of seizure and non-seizure EEG signals. The SVM was trained with radial basis kernel. All the experiments have been carried out on the benchmark epilepsy EEG dataset. The entire dataset consists of 500 EEG signals recorded under different scenarios. Seven different experimental cases for classification have been conducted. The classification accuracy was evaluated using tenfold cross validation. The classification results of the proposed approaches have been compared with the results of some of existing techniques proposed in the literature to establish the claim.

Remote Sensing Tertiary Education Meets High Intensity Interval Training

NASA Astrophysics Data System (ADS)

Joyce, K. E.; White, B.

2015-04-01

Enduring a traditional lecture is the tertiary education equivalent of a long, slow, jog. There are certainly some educational benefits if the student is able to maintain concentration, but they are just as likely to get caught napping and fall off the back end of the treadmill. Alternatively, a pre-choreographed interactive workshop style class requires students to continually engage with the materials. Appropriately timed breaks or intervals allow students to recover briefly before being increasingly challenged throughout the class. Using an introductory remote sensing class at Charles Darwin University, this case study presents a transition from the traditional stand and deliver style lecture to an active student-led learning experience. The class is taught at undergraduate and postgraduate levels, with both on-campus as well as online distance learning students. Based on the concept that active engagement in learning materials promotes 'stickiness' of subject matter, the remote sensing class was re-designed to encourage an active style of learning. Critically, class content was reviewed to identify the key learning outcomes for the students. This resulted in a necessary sacrifice of topic range for depth of understanding. Graduates of the class reported high levels of enthusiasm for the materials, and the style in which the class was taught. This paper details a number of techniques that were used to engage students in active and problem based learning throughout the semester. It suggests a number of freely available tools that academics in remote sensing and related fields can readily incorporate into their teaching portfolios. Moreover, it shows how simple it can be to provide a far more enjoyable and effective learning experience for students than the one dimensional lecture.

The profile of students’ self-regulated learning at vocational high school

NASA Astrophysics Data System (ADS)

Ciptaningtyas, Asih; Pratiwi, Hasih; Mardiyana

2018-05-01

Self-regulated learning is a power in the individual through the individualization process. Self-regulated learning will occur when the student is active to control himself from everything done, plan something, evaluate, and deeply reflect what he has experienced. This study aims to determine the profile of students’ self-regulated learning in SMK Giripuro, Sumpiuh, Banyumas Regency. This study is a qualitative research with questionnaire and interview methods. This study used triangulation method technique to obtain from the questionnaire and interview to get valid data. The subjects in this study are three 10th Grade students who have different self-regulated learning in SMK Giripuro Sumpiuh. The results showed that the high self-regulated learning student has characteristics: 1) independent of others, 2) believe in their abilities, 3) awareness in learning, and 4) be able to reflect on their learning. Medium self-regulated learning student has characteristics: 1) independent of others, 2) believe in their abilities, 3) awareness in learning, and 4) do not reflect on learning. Low self-regulated learning student has characteristics: 1) dependent on others, 2) do not believe in their abilities, 3) lack awareness of learning, and 4) do not reflect on learning.

Innovating the Experience of Peer Learning and Earth Science Education in the Field

NASA Astrophysics Data System (ADS)

Scoates, J. S.; Hanano, D. W.; Weis, D.; Bilenker, L.; Sherman, S. B.; Gilley, B.

2017-12-01

The use of active learning and collaborative strategies is widely gaining momentum at the university level and is ideally suited to field instructional settings. Peer learning, when students learn with and from each other, is based on the principle that students learn in a more profound way by explaining their ideas to others and by participating in activities in which they can learn from their peers. The Multidisciplinary Applied Geochemistry Network (MAGNET), an NSERC Collaborative Research and Training Experience (CREATE) initiative in Canada, recently experimented with this approach during its fourth annual workshop in August 2016. With a group of 25 geochemistry graduate students from universities across Canada, three remarkable field sites in Montana and Wyoming were explored: the Stillwater Complex, the Beartooth Mountains, and Yellowstone National Park. Rather than developing a rigorous teaching curriculum led by faculty, groups of students were tasked with designing and delivering half-day teaching modules that included field activities at each of the locations. Over the course of two months and with feedback from mentors, the graduate students transformed their ideas into formal lesson plans, complete with learning goals, a schedule of teaching activities, equipment lists, and plans for safety and environmental mitigation. This shift, from teacher-centered to learner-centered education, requires students to take greater initiative and responsibility for their own learning and development. We highlight the goals, structure and implementation of the workshop, as well as some of the successes and challenges. We also present the results of participant feedback taken immediately after each lesson and both pre- and post-trip surveys. The outdoor classroom and hands-on activities accelerated learning of field techniques and enhanced understanding of complex geological systems and processes. The trainee-led format facilitated peer knowledge transfer and the development of professional skills in three key areas: (1) project and time management, (2) teamwork and communication, and (3) critical thinking and problem-solving. The MAGNET experience with peer learning represents a model that can readily be adapted for future field instruction in the Earth Sciences.

Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample.

PubMed

Freedson, Patty S; Lyden, Kate; Kozey-Keadle, Sarah; Staudenmayer, John

2011-12-01

Previous work from our laboratory provided a "proof of concept" for use of artificial neural networks (nnets) to estimate metabolic equivalents (METs) and identify activity type from accelerometer data (Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P, J Appl Physiol 107: 1330-1307, 2009). The purpose of this study was to develop new nnets based on a larger, more diverse, training data set and apply these nnet prediction models to an independent sample to evaluate the robustness and flexibility of this machine-learning modeling technique. The nnet training data set (University of Massachusetts) included 277 participants who each completed 11 activities. The independent validation sample (n = 65) (University of Tennessee) completed one of three activity routines. Criterion measures were 1) measured METs assessed using open-circuit indirect calorimetry; and 2) observed activity to identify activity type. The nnet input variables included five accelerometer count distribution features and the lag-1 autocorrelation. The bias and root mean square errors for the nnet MET trained on University of Massachusetts and applied to University of Tennessee were +0.32 and 1.90 METs, respectively. Seventy-seven percent of the activities were correctly classified as sedentary/light, moderate, or vigorous intensity. For activity type, household and locomotion activities were correctly classified by the nnet activity type 98.1 and 89.5% of the time, respectively, and sport was correctly classified 23.7% of the time. Use of this machine-learning technique operates reasonably well when applied to an independent sample. We propose the creation of an open-access activity dictionary, including accelerometer data from a broad array of activities, leading to further improvements in prediction accuracy for METs, activity intensity, and activity type.

Applying problem-based learning to otolaryngology teaching.

PubMed

Abou-Elhamd, K A; Rashad, U M; Al-Sultan, A I

2011-02-01

Undergraduate medical education requires ongoing improvement in order to keep pace with the changing demands of twenty-first century medical practice. Problem-based learning is increasingly being adopted in medical schools worldwide. We review its application in the specialty of ENT, and we present our experience of using this approach combined with more traditional methods. We introduced problem-based learning techniques into the ENT course taught to fifth-year medical students at Al-Ahsa College of Medicine, King Faisal University, Saudi Arabia. As a result, the teaching schedule included both clinical and theoretical activities. Six clinical teaching days were allowed for history-taking, examination techniques and clinical scenario discussion. Case scenarios were discussed in small group teaching sessions. Conventional methods were employed to teach audiology and ENT radiology (one three-hour session each); a three-hour simulation laboratory session and three-hour student presentation were also scheduled. In addition, students attended out-patient clinics for three days, and used multimedia facilities to learn about various otolaryngology diseases (in another three-hour session). This input was supplemented with didactic teaching in the form of 16 instructional lectures per semester (one hour per week). From our teaching experience, we believe that the application of problem-based learning to ENT teaching has resulted in a substantial increase in students' knowledge. Furthermore, students have given encouraging feedback on their experience of combined problem-based learning and conventional teaching methods.

Prostate Cancer Probability Prediction By Machine Learning Technique.

PubMed

Jović, Srđan; Miljković, Milica; Ivanović, Miljan; Šaranović, Milena; Arsić, Milena

2017-11-26

The main goal of the study was to explore possibility of prostate cancer prediction by machine learning techniques. In order to improve the survival probability of the prostate cancer patients it is essential to make suitable prediction models of the prostate cancer. If one make relevant prediction of the prostate cancer it is easy to create suitable treatment based on the prediction results. Machine learning techniques are the most common techniques for the creation of the predictive models. Therefore in this study several machine techniques were applied and compared. The obtained results were analyzed and discussed. It was concluded that the machine learning techniques could be used for the relevant prediction of prostate cancer.

Dynamic detection of window starting positions and its implementation within an activity recognition framework.

PubMed

Ni, Qin; Patterson, Timothy; Cleland, Ian; Nugent, Chris

2016-08-01

Activity recognition is an intrinsic component of many pervasive computing and ambient intelligent solutions. This has been facilitated by an explosion of technological developments in the area of wireless sensor network, wearable and mobile computing. Yet, delivering robust activity recognition, which could be deployed at scale in a real world environment, still remains an active research challenge. Much of the existing literature to date has focused on applying machine learning techniques to pre-segmented data collected in controlled laboratory environments. Whilst this approach can provide valuable ground truth information from which to build recognition models, these techniques often do not function well when implemented in near real time applications. This paper presents the application of a multivariate online change detection algorithm to dynamically detect the starting position of windows for the purposes of activity recognition. Copyright © 2016 Elsevier Inc. All rights reserved.

See-What-I-Do: Increasing Mentor and Trainee Sense of Co-Presence in Trauma Surgeries with the STAR Platform

DTIC Science & Technology

2016-04-01

publications, images, and videos.  Technologies or techniques . The technique for one shot gesture recognition is a result from the research activity... shot learning concept for gesture recognition. Name: Aditya Ajay Shanghavi Project Role: Master Student Researcher Identifier (e.g. ORCID ID...use case . The transparency error depends more on the x than the z head tracking error. Head tracking is typically accurate to less than 10mm in x

MO-FG-BRD-01: Real-Time Imaging and Tracking Techniques for Intrafractional Motion Management: Introduction and KV Tracking

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

Fahimian, B.

2015-06-15

Intrafraction target motion is a prominent complicating factor in the accurate targeting of radiation within the body. Methods compensating for target motion during treatment, such as gating and dynamic tumor tracking, depend on the delineation of target location as a function of time during delivery. A variety of techniques for target localization have been explored and are under active development; these include beam-level imaging of radio-opaque fiducials, fiducial-less tracking of anatomical landmarks, tracking of electromagnetic transponders, optical imaging of correlated surrogates, and volumetric imaging within treatment delivery. The Joint Imaging and Therapy Symposium will provide an overview of the techniquesmore » for real-time imaging and tracking, with special focus on emerging modes of implementation across different modalities. In particular, the symposium will explore developments in 1) Beam-level kilovoltage X-ray imaging techniques, 2) EPID-based megavoltage X-ray tracking, 3) Dynamic tracking using electromagnetic transponders, and 4) MRI-based soft-tissue tracking during radiation delivery. Learning Objectives: Understand the fundamentals of real-time imaging and tracking techniques Learn about emerging techniques in the field of real-time tracking Distinguish between the advantages and disadvantages of different tracking modalities Understand the role of real-time tracking techniques within the clinical delivery work-flow.« less

MO-FG-BRD-04: Real-Time Imaging and Tracking Techniques for Intrafractional Motion Management: MR Tracking

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

Low, D.

2015-06-15

Intrafraction target motion is a prominent complicating factor in the accurate targeting of radiation within the body. Methods compensating for target motion during treatment, such as gating and dynamic tumor tracking, depend on the delineation of target location as a function of time during delivery. A variety of techniques for target localization have been explored and are under active development; these include beam-level imaging of radio-opaque fiducials, fiducial-less tracking of anatomical landmarks, tracking of electromagnetic transponders, optical imaging of correlated surrogates, and volumetric imaging within treatment delivery. The Joint Imaging and Therapy Symposium will provide an overview of the techniquesmore » for real-time imaging and tracking, with special focus on emerging modes of implementation across different modalities. In particular, the symposium will explore developments in 1) Beam-level kilovoltage X-ray imaging techniques, 2) EPID-based megavoltage X-ray tracking, 3) Dynamic tracking using electromagnetic transponders, and 4) MRI-based soft-tissue tracking during radiation delivery. Learning Objectives: Understand the fundamentals of real-time imaging and tracking techniques Learn about emerging techniques in the field of real-time tracking Distinguish between the advantages and disadvantages of different tracking modalities Understand the role of real-time tracking techniques within the clinical delivery work-flow.« less

MO-FG-BRD-02: Real-Time Imaging and Tracking Techniques for Intrafractional Motion Management: MV Tracking

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

Berbeco, R.

2015-06-15

Intrafraction target motion is a prominent complicating factor in the accurate targeting of radiation within the body. Methods compensating for target motion during treatment, such as gating and dynamic tumor tracking, depend on the delineation of target location as a function of time during delivery. A variety of techniques for target localization have been explored and are under active development; these include beam-level imaging of radio-opaque fiducials, fiducial-less tracking of anatomical landmarks, tracking of electromagnetic transponders, optical imaging of correlated surrogates, and volumetric imaging within treatment delivery. The Joint Imaging and Therapy Symposium will provide an overview of the techniquesmore » for real-time imaging and tracking, with special focus on emerging modes of implementation across different modalities. In particular, the symposium will explore developments in 1) Beam-level kilovoltage X-ray imaging techniques, 2) EPID-based megavoltage X-ray tracking, 3) Dynamic tracking using electromagnetic transponders, and 4) MRI-based soft-tissue tracking during radiation delivery. Learning Objectives: Understand the fundamentals of real-time imaging and tracking techniques Learn about emerging techniques in the field of real-time tracking Distinguish between the advantages and disadvantages of different tracking modalities Understand the role of real-time tracking techniques within the clinical delivery work-flow.« less

MO-FG-BRD-03: Real-Time Imaging and Tracking Techniques for Intrafractional Motion Management: EM Tracking

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

Keall, P.

2015-06-15

Intrafraction target motion is a prominent complicating factor in the accurate targeting of radiation within the body. Methods compensating for target motion during treatment, such as gating and dynamic tumor tracking, depend on the delineation of target location as a function of time during delivery. A variety of techniques for target localization have been explored and are under active development; these include beam-level imaging of radio-opaque fiducials, fiducial-less tracking of anatomical landmarks, tracking of electromagnetic transponders, optical imaging of correlated surrogates, and volumetric imaging within treatment delivery. The Joint Imaging and Therapy Symposium will provide an overview of the techniquesmore » for real-time imaging and tracking, with special focus on emerging modes of implementation across different modalities. In particular, the symposium will explore developments in 1) Beam-level kilovoltage X-ray imaging techniques, 2) EPID-based megavoltage X-ray tracking, 3) Dynamic tracking using electromagnetic transponders, and 4) MRI-based soft-tissue tracking during radiation delivery. Learning Objectives: Understand the fundamentals of real-time imaging and tracking techniques Learn about emerging techniques in the field of real-time tracking Distinguish between the advantages and disadvantages of different tracking modalities Understand the role of real-time tracking techniques within the clinical delivery work-flow.« less

MO-FG-BRD-00: Real-Time Imaging and Tracking Techniques for Intrafractional Motion Management

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

NONE

2015-06-15

Intrafraction target motion is a prominent complicating factor in the accurate targeting of radiation within the body. Methods compensating for target motion during treatment, such as gating and dynamic tumor tracking, depend on the delineation of target location as a function of time during delivery. A variety of techniques for target localization have been explored and are under active development; these include beam-level imaging of radio-opaque fiducials, fiducial-less tracking of anatomical landmarks, tracking of electromagnetic transponders, optical imaging of correlated surrogates, and volumetric imaging within treatment delivery. The Joint Imaging and Therapy Symposium will provide an overview of the techniquesmore » for real-time imaging and tracking, with special focus on emerging modes of implementation across different modalities. In particular, the symposium will explore developments in 1) Beam-level kilovoltage X-ray imaging techniques, 2) EPID-based megavoltage X-ray tracking, 3) Dynamic tracking using electromagnetic transponders, and 4) MRI-based soft-tissue tracking during radiation delivery. Learning Objectives: Understand the fundamentals of real-time imaging and tracking techniques Learn about emerging techniques in the field of real-time tracking Distinguish between the advantages and disadvantages of different tracking modalities Understand the role of real-time tracking techniques within the clinical delivery work-flow.« less

How Do B-Learning and Learning Patterns Influence Learning Outcomes?

PubMed Central

Sáiz Manzanares, María Consuelo; Marticorena Sánchez, Raúl; García Osorio, César Ignacio; Díez-Pastor, José F.

2017-01-01

Learning Management System (LMS) platforms provide a wealth of information on the learning patterns of students. Learning Analytics (LA) techniques permit the analysis of the logs or records of the activities of both students and teachers on the on-line platform. The learning patterns differ depending on the type of Blended Learning (B-Learning). In this study, we analyse: (1) whether significant differences exist between the learning outcomes of students and their learning patterns on the platform, depending on the type of B-Learning [Replacement blend (RB) vs. Supplemental blend (SB)]; (2) whether a relation exists between the metacognitive and the motivational strategies (MS) of students, their learning outcomes and their learning patterns on the platform. The 87,065 log records of 129 students (69 in RB and 60 in SB) in the Moodle 3.1 platform were analyzed. The results revealed different learning patterns between students depending on the type of B-Learning (RB vs. SB). We have found that the degree of blend, RB vs. SB, seems to condition student behavior on the platform. Learning patterns in RB environments can predict student learning outcomes. Additionally, in RB environments there is a relationship between the learning patterns and the metacognitive and (MS) of the students. PMID:28559866

How Do B-Learning and Learning Patterns Influence Learning Outcomes?

PubMed

Sáiz Manzanares, María Consuelo; Marticorena Sánchez, Raúl; García Osorio, César Ignacio; Díez-Pastor, José F

2017-01-01

Learning Management System (LMS) platforms provide a wealth of information on the learning patterns of students. Learning Analytics (LA) techniques permit the analysis of the logs or records of the activities of both students and teachers on the on-line platform. The learning patterns differ depending on the type of Blended Learning (B-Learning). In this study, we analyse: (1) whether significant differences exist between the learning outcomes of students and their learning patterns on the platform, depending on the type of B-Learning [Replacement blend (RB) vs. Supplemental blend (SB)]; (2) whether a relation exists between the metacognitive and the motivational strategies (MS) of students, their learning outcomes and their learning patterns on the platform. The 87,065 log records of 129 students (69 in RB and 60 in SB) in the Moodle 3.1 platform were analyzed. The results revealed different learning patterns between students depending on the type of B-Learning (RB vs. SB). We have found that the degree of blend, RB vs. SB, seems to condition student behavior on the platform. Learning patterns in RB environments can predict student learning outcomes. Additionally, in RB environments there is a relationship between the learning patterns and the metacognitive and (MS) of the students.

Improving Word Learning in Children Using an Errorless Technique

ERIC Educational Resources Information Center

Warmington, Meesha; Hitch, Graham J.; Gathercole, Susan E.

2013-01-01

The current experiment examined the relative advantage of an errorless learning technique over an errorful one in the acquisition of novel names for unfamiliar objects in typically developing children aged between 7 and 9 years. Errorless learning led to significantly better learning than did errorful learning. Processing speed and vocabulary…

Using Elearning techniques to support problem based learning within a clinical simulation laboratory.

PubMed

Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn

2004-01-01

This paper details the results of the first phase of a project that used eLearning to support students' learning within a simulated environment. The locus was a purpose built Clinical Simulation Laboratory (CSL) where the School's newly adopted philosophy of Problem Based Learning (PBL) was challenged through lecturers reverting to traditional teaching methods. The solution, a student-centred, problem-based approach to the acquisition of clinical skills was developed using learning objects embedded within web pages that substituted for lecturers providing instruction and demonstration. This allowed lecturers to retain their facilitator role, and encouraged students to explore, analyse and make decisions within the safety of a clinical simulation. Learning was enhanced through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that an elearning approach can support PBL in delivering a student centred learning experience.

A model for teaching and learning spinal thrust manipulation and its effect on participant confidence in technique performance.

PubMed

Wise, Christopher H; Schenk, Ronald J; Lattanzi, Jill Black

2016-07-01

Despite emerging evidence to support the use of high velocity thrust manipulation in the management of lumbar spinal conditions, utilization of thrust manipulation among clinicians remains relatively low. One reason for the underutilization of these procedures may be related to disparity in training in the performance of these techniques at the professional and post professional levels. To assess the effect of using a new model of active learning on participant confidence in the performance of spinal thrust manipulation and the implications for its use in the professional and post-professional training of physical therapists. A cohort of 15 DPT students in their final semester of entry-level professional training participated in an active training session emphasizing a sequential partial task practice (SPTP) strategy in which participants engaged in partial task practice over several repetitions with different partners. Participants' level of confidence in the performance of these techniques was determined through comparison of pre- and post-training session surveys and a post-session open-ended interview. The increase in scores across all items of the individual pre- and post-session surveys suggests that this model was effective in changing overall participant perception regarding the effectiveness and safety of these techniques and in increasing student confidence in their performance. Interviews revealed that participants greatly preferred the SPTP strategy, which enhanced their confidence in technique performance. Results indicate that this new model of psychomotor training may be effective at improving confidence in the performance of spinal thrust manipulation and, subsequently, may be useful for encouraging the future use of these techniques in the care of individuals with impairments of the spine. Inasmuch, this method of instruction may be useful for training of physical therapists at both the professional and post-professional levels.

Machine Learning Techniques in Clinical Vision Sciences.

PubMed

Caixinha, Miguel; Nunes, Sandrina

2017-01-01

This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vision science. Many ocular diseases leading to blindness can be halted or delayed when detected and treated at its earliest stages. With the recent developments in diagnostic devices, imaging and genomics, new sources of data for early disease detection and patients' management are now available. Machine learning techniques emerged in the biomedical sciences as clinical decision-support techniques to improve sensitivity and specificity of disease detection and monitoring, increasing objectively the clinical decision-making process. This manuscript presents a review in multimodal ocular disease diagnosis and monitoring based on machine learning approaches. In the first section, the technical issues related to the different machine learning approaches will be present. Machine learning techniques are used to automatically recognize complex patterns in a given dataset. These techniques allows creating homogeneous groups (unsupervised learning), or creating a classifier predicting group membership of new cases (supervised learning), when a group label is available for each case. To ensure a good performance of the machine learning techniques in a given dataset, all possible sources of bias should be removed or minimized. For that, the representativeness of the input dataset for the true population should be confirmed, the noise should be removed, the missing data should be treated and the data dimensionally (i.e., the number of parameters/features and the number of cases in the dataset) should be adjusted. The application of machine learning techniques in ocular disease diagnosis and monitoring will be presented and discussed in the second section of this manuscript. To show the clinical benefits of machine learning in clinical vision sciences, several examples will be presented in glaucoma, age-related macular degeneration, and diabetic retinopathy, these ocular pathologies being the major causes of irreversible visual impairment.

"Who Has the Same Substance that I Have?": A Blueprint for Collaborative Learning Activities

NASA Astrophysics Data System (ADS)

Coppola, Brian P.; Lawton, Richard G.

1995-12-01

Differential classification and categorization are core activities in all disciplines. Although the methods used to collect and identify information vary widely, the fundamental sameness of or difference between many types of samples is a common objective. We have developed this idea in a set of activities we call "Who Has the Same Substance that I Have?", which not only serves as a design for chemistry laboratory tasks, but also as a generic blueprint for any discipline. In our first-term chemistry laboratory course, students learn about chromatographic, spectroscopic, and chemical techniques as tools for collecting information. They work collaboratively to answer the "Who Has the Same Substance that I Have?" question for groups of powdered white solids and again for clear colorless liquids. A number of others have adapted this idea to their own context.

Teaching & Learning Tips 6: The flipped classroom.

PubMed

Shi, Connie R; Rana, Jasmine; Burgin, Susan

2018-04-01

Challenge: The "flipped classroom" is a pedagogical model in which instructional materials are delivered to learners outside of class, reserving class time for application of new principles with peers and instructors. Active learning has forever been an elusive ideal in medical education, but the flipped class model is relatively new to medical education. What is the evidence for the "flipped classroom," and how can these techniques be applied to the teaching of dermatology to trainees at all stages of their medical careers? © 2018 The International Society of Dermatology.

Teaching with Moodle in Soil Science

NASA Astrophysics Data System (ADS)

Roca, Núria

2014-05-01

Soil is a 3-dimensional body with properties that reflect the impact of climate, vegetation, fauna, man and topography on the soil's parent material over a variable time span. Therefore, soil is integral to many ecological and social systems and it holds potential solutions for many of the world's economic and scientific problems as climate change or scarcity of food and water. The teaching of Soil Science, as a natural science in its own right, requires principles that reflect the unique features and behaviour of soil and the practices of soil scientists. It could be argued that a unique set of teaching practices applies to Soil Science; however specific teaching practices are scarce in literature. The present work was triggered by the need to develop new techniques of teaching to speed up the learning process and to experiment with new methods of teaching. For such, it is necessary to adopt virtual learning environment to new learning requirements regarding Soil Science. This paper proposes a set of e-teaching techniques (as questionnaires, chats as well as forums) introduced in Moodle virtual learning Environment in order to increase student motivation and interest in Soil Science. Such technologies can be used to: a)Increase the amount of time a teacher allots for student reflection after asking a question and before a student responds (wait-time). This practice increases the quantity and quality of students' answers. The students give longer responses, students give more evidence for their ideas and conclusions, students speculate and hypothesize more and more students participated in responding. Furthermore, students ask more questions and talk more to other students. b)Improve active learning, an essential paradigm in education. In contrast to learning-before-doing, we propose to focus on learning-in-doing, a model where learners are increasingly involved in the authentic practices of communities through learning conversations and activities involving expert practitioners, educators and peers. c)Introduce the specific specialised technical language (jargon) gradually. The excessive use of Soil Science jargon confuses students and frequently put obstacles in the way of learning. d)Encourage the students to take responsibility for their learning, continuous assessment with direct error correction and content feedback and peer review with comments sent to forum. The student interest to learn using e-project is clearly strong.

Techniques and Technology to Revise Content Delivery and Model Critical Thinking in the Neuroscience Classroom

PubMed Central

Illig, Kurt R.

2015-01-01

Undergraduate neuroscience courses typically involve highly interdisciplinary material, and it is often necessary to use class time to review how principles of chemistry, math and biology apply to neuroscience. Lecturing and Socratic discussion can work well to deliver information to students, but these techniques can lead students to feel more like spectators than participants in a class, and do not actively engage students in the critical analysis and application of experimental evidence. If one goal of undergraduate neuroscience education is to foster critical thinking skills, then the classroom should be a place where students and instructors can work together to develop them. Students learn how to think critically by directly engaging with course material, and by discussing evidence with their peers, but taking classroom time for these activities requires that an instructor find a way to provide course materials outside of class. Using technology as an on-demand provider of course materials can give instructors the freedom to restructure classroom time, allowing students to work together in small groups and to have discussions that foster critical thinking, and allowing the instructor to model these skills. In this paper, I provide a rationale for reducing the use of traditional lectures in favor of more student-centered activities, I present several methods that can be used to deliver course materials outside of class and discuss their use, and I provide a few examples of how these techniques and technologies can help improve learning outcomes. PMID:26240525