An Education in Awareness: Self, Motivation, and Self-Regulated Learning in Contemplative Perspective

PubMed Central

Roeser, Robert W.; Peck, Stephen C.

2009-01-01

Consistent with the aims of this special issue, we present a systems perspective on self/identity, predicated on William James’s classic distinction between I and Me, and use this perspective to explore conceptual relations between self/identity, motivation to learn, and self-regulated learning. We define the I self functionally in terms of the capacity for the conscious shifting and sustaining of awareness. The I is conceived of as that aspect of the self-system that affords the potential for the conscious and willful, rather than the non-conscious and automatic, motivation and regulation of behavior. We introduce contemplative education as a set of pedagogical practices designed to cultivate conscious awareness in an ethical-relational context in which the values of personal growth, learning, moral living, and caring for others are nurtured. We discuss the implications of contemplative education for the cultivation of conscious and willful forms of learning and living among students and educators alike. PMID:20419040

Self-assessed learning style correlates to use of supplemental learning materials in an online course management system.

PubMed

Halbert, Caitlin; Kriebel, Richard; Cuzzolino, Robert; Coughlin, Patrick; Fresa-Dillon, Kerin

2011-01-01

The benefit of online learning materials in medical education is not well defined. The study correlated certain self-identified learning styles with the use of self-selected online learning materials. First-year osteopathic medical students were given access to review and/or summary materials via an online course management system (CMS) while enrolled in a pre-clinical course. At the end of the course, students completed a self-assessment of learning style based on the Index of Learning Styles and a brief survey regarding their usage and perceived advantage of the online learning materials. Students who accessed the online materials earned equivalent grades to those who did not. However, the study found that students who described their learning styles as active, intuitive, global, and/or visual were more likely to use online educational resources than those who identified their learning style as reflective, sensing, sequential, and/or verbal. Identification of a student's learning style can help medical educators direct students to learning resources that best suit their individual needs.

Proposal of Self-Learning and Recognition System of Facial Expression

NASA Astrophysics Data System (ADS)

Ogawa, Yukihiro; Kato, Kunihito; Yamamoto, Kazuhiko

We describe realization of more complicated function by using the information acquired from some equipped unripe functions. The self-learning and recognition system of the human facial expression, which achieved under the natural relation between human and robot, are proposed. The robot with this system can understand human facial expressions and behave according to their facial expressions after the completion of learning process. The system modelled after the process that a baby learns his/her parents’ facial expressions. Equipping the robot with a camera the system can get face images and equipping the CdS sensors on the robot’s head the robot can get the information of human action. Using the information of these sensors, the robot can get feature of each facial expression. After self-learning is completed, when a person changed his facial expression in front of the robot, the robot operates actions under the relevant facial expression.

A meta-learning system based on genetic algorithms

NASA Astrophysics Data System (ADS)

Pellerin, Eric; Pigeon, Luc; Delisle, Sylvain

2004-04-01

The design of an efficient machine learning process through self-adaptation is a great challenge. The goal of meta-learning is to build a self-adaptive learning system that is constantly adapting to its specific (and dynamic) environment. To that end, the meta-learning mechanism must improve its bias dynamically by updating the current learning strategy in accordance with its available experiences or meta-knowledge. We suggest using genetic algorithms as the basis of an adaptive system. In this work, we propose a meta-learning system based on a combination of the a priori and a posteriori concepts. A priori refers to input information and knowledge available at the beginning in order to built and evolve one or more sets of parameters by exploiting the context of the system"s information. The self-learning component is based on genetic algorithms and neural Darwinism. A posteriori refers to the implicit knowledge discovered by estimation of the future states of parameters and is also applied to the finding of optimal parameters values. The in-progress research presented here suggests a framework for the discovery of knowledge that can support human experts in their intelligence information assessment tasks. The conclusion presents avenues for further research in genetic algorithms and their capability to learn to learn.

Rapprochement of Rotter's Social Learning Theory with Self-Esteem Constructs.

ERIC Educational Resources Information Center

Burke, Joy Patricia

1983-01-01

Offers rapprochement of Rotter's (1954) social learning theory with self-esteem and related constructs. Self constructs are defined and combined into a conceptual framework indicating the impact of their interrelations within a self-esteem system. An attribution model is used to clarify the impact of causal internalization on self-esteem.…

Web-Based Reading Annotation System with an Attention-Based Self-Regulated Learning Mechanism for Promoting Reading Performance

ERIC Educational Resources Information Center

Chen, Chih-Ming; Huang, Sheng-Hui

2014-01-01

Due to the rapid development of information technology, web-based learning has become a dominant trend. That is, learners can often learn anytime and anywhere without being restricted by time and space. Autonomic learning primarily occurs in web-based learning environments, and self-regulated learning (SRL) is key to autonomic learning…

The Temporal and Dynamic Nature of Self-Regulatory Processes during Independent and Externally Assisted Hypermedia Learning

ERIC Educational Resources Information Center

Johnson, Amy M.; Azevedo, Roger; D'Mello, Sidney K.

2011-01-01

This study examined the temporal and dynamic nature of students' self-regulatory processes while learning about the circulatory system with hypermedia. A total of 74 undergraduate students were randomly assigned to 1 of 2 conditions: independent learning or externally assisted learning. Participants in the independent learning condition used a…

Perceived Satisfaction, Perceived Usefulness and Interactive Learning Environments as Predictors to Self-Regulation in e-Learning Environments

ERIC Educational Resources Information Center

Liaw, Shu-Sheng; Huang, Hsiu-Mei

2013-01-01

The research purpose is to investigate learner self-regulation in e-learning environments. In order to better understand learner attitudes toward e-learning, 196 university students answer a questionnaire survey after use an e-learning system few months. The statistical results showed that perceived satisfaction, perceived usefulness, and…

Effects of Self-Explanation and Game-Reward on Sixth Graders' Algebra Variable Learning

ERIC Educational Resources Information Center

Sun-Lin, Hong-Zheng; Chiou, Guey-Fa

2017-01-01

This study examined the interaction effects of self-explanation and game-reward strategies on sixth graders' algebra variable learning achievement, learning attitude, and meta-cognitive awareness. A learning system was developed to support the learning activity, and a 2×2 quasi-experiment was conducted. Ninety-seven students were invited to…

Aircraft Environmental Systems Mechanic. Part 2.

ERIC Educational Resources Information Center

Chanute AFB Technical Training Center, IL.

This packet contains learning modules designed for a self-paced course in aircraft environmental systems mechanics that was developed for the Air Force. Learning modules consist of some or all of the following materials: objectives, instructions, equipment, procedures, information sheets, handouts, workbooks, self-tests with answers, review…

Self-supervised ARTMAP.

PubMed

Amis, Gregory P; Carpenter, Gail A

2010-03-01

Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semi-supervised learning). In each case input patterns have a fixed number of features throughout training and testing. Human and machine learning contexts present additional opportunities for expanding incomplete knowledge from formal training, via self-directed learning that incorporates features not previously experienced. This article defines a new self-supervised learning paradigm to address these richer learning contexts, introducing a neural network called self-supervised ARTMAP. Self-supervised learning integrates knowledge from a teacher (labeled patterns with some features), knowledge from the environment (unlabeled patterns with more features), and knowledge from internal model activation (self-labeled patterns). Self-supervised ARTMAP learns about novel features from unlabeled patterns without destroying partial knowledge previously acquired from labeled patterns. A category selection function bases system predictions on known features, and distributed network activation scales unlabeled learning to prediction confidence. Slow distributed learning on unlabeled patterns focuses on novel features and confident predictions, defining classification boundaries that were ambiguous in the labeled patterns. Self-supervised ARTMAP improves test accuracy on illustrative low-dimensional problems and on high-dimensional benchmarks. Model code and benchmark data are available from: http://techlab.eu.edu/SSART/. Copyright 2009 Elsevier Ltd. All rights reserved.

Support for Self-Regulation in Learning Complex Topics from Multimedia Explanations: Do Learners Need Extensive or Minimal Support?

ERIC Educational Resources Information Center

Rodicio, Hector Garcia; Sanchez, Emilio; Acuna, Santiago R.

2013-01-01

Acquiring complex conceptual knowledge requires learners to self-regulate their learning by planning, monitoring, and adjusting the process but they find it difficult to do so. In one experiment, we examined whether learners need broad systems of support for self-regulation or whether they are also able to learn with more economical support…

Aircraft Environmental Systems Mechanic. Part 1.

ERIC Educational Resources Information Center

Chanute AFB Technical Training Center, IL.

This packet contains learning modules for a self-paced course in aircraft environmental systems mechanics that was developed for the Air Force. Each learning module consists of some or all of the following: objectives, instructions, equipment, procedures, information sheets, handouts, self-tests with answers, review section, tests, and response…

Self-Monitoring Support for Learning to Write

ERIC Educational Resources Information Center

Cho, Kwangsu; Cho, Moon-Heum; Hacker, Douglas J.

2010-01-01

This study examined the role of self-monitoring (SM) support for writing skill improvement in a reciprocal peer review of writing system called scaffolded writing and revision in the disciplines (SWoRD). Based on previous literature on the key role of SM in self-regulated learning, students were provided with opportunities to self-monitor their…

[Multi-course web-learning system for supporting students of medical technology].

PubMed

Honma, Satoru; Wakamatsu, Hidetoshi; Kurihara, Yuriko; Yoshida, Shoko; Sakai, Nobue

2013-05-01

Web-Learning system was developed to support the self-learning for national qualification examination and medical engineering practice by students. The results from small tests in various situations suggest that the unit-learning systems are more effective, especially for the early stage of their self learning. In addition, the answers of some questionnaire suggest that the students' motivation has a certain relation with the number of the questions in the system. That is, the less number of the questions, the easier they are worked out with a higher learning motivation by students. Thus, the system was extended to enable students to study various subjects and/or units by themselves. The system enables them to have learning effects more easily by the exercise during lectures. The effectiveness of the system was investigated on medical associated subjects installed in the system. The concerning questions of Medical engineering and Pathological histology are adequately divided into several groups, of which sixteen Web-Learning subsystems were well composed for their practical application. Our concerning various unit-learning systems were confirmed much useful for most students comparing with the case of the overall Web-Learning system.

Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems.

PubMed

Scholze, Sebastian; Barata, Jose; Stokic, Dragan

2017-02-24

Highly flexible manufacturing systems require continuous run-time (self-) optimization of processes with respect to diverse parameters, e.g., efficiency, availability, energy consumption etc. A promising approach for achieving (self-) optimization in manufacturing systems is the usage of the context sensitivity approach based on data streaming from high amount of sensors and other data sources. Cyber-physical systems play an important role as sources of information to achieve context sensitivity. Cyber-physical systems can be seen as complex intelligent sensors providing data needed to identify the current context under which the manufacturing system is operating. In this paper, it is demonstrated how context sensitivity can be used to realize a holistic solution for (self-) optimization of discrete flexible manufacturing systems, by making use of cyber-physical systems integrated in manufacturing systems/processes. A generic approach for context sensitivity, based on self-learning algorithms, is proposed aiming at a various manufacturing systems. The new solution encompasses run-time context extractor and optimizer. Based on the self-learning module both context extraction and optimizer are continuously learning and improving their performance. The solution is following Service Oriented Architecture principles. The generic solution is developed and then applied to two very different manufacturing processes.

Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems

PubMed Central

Scholze, Sebastian; Barata, Jose; Stokic, Dragan

2017-01-01

Highly flexible manufacturing systems require continuous run-time (self-) optimization of processes with respect to diverse parameters, e.g., efficiency, availability, energy consumption etc. A promising approach for achieving (self-) optimization in manufacturing systems is the usage of the context sensitivity approach based on data streaming from high amount of sensors and other data sources. Cyber-physical systems play an important role as sources of information to achieve context sensitivity. Cyber-physical systems can be seen as complex intelligent sensors providing data needed to identify the current context under which the manufacturing system is operating. In this paper, it is demonstrated how context sensitivity can be used to realize a holistic solution for (self-) optimization of discrete flexible manufacturing systems, by making use of cyber-physical systems integrated in manufacturing systems/processes. A generic approach for context sensitivity, based on self-learning algorithms, is proposed aiming at a various manufacturing systems. The new solution encompasses run-time context extractor and optimizer. Based on the self-learning module both context extraction and optimizer are continuously learning and improving their performance. The solution is following Service Oriented Architecture principles. The generic solution is developed and then applied to two very different manufacturing processes. PMID:28245564

An Intelligent E-Learning System Based on Learner Profiling and Learning Resources Adaptation

ERIC Educational Resources Information Center

Tzouveli, Paraskevi; Mylonas, Phivos; Kollias, Stefanos

2008-01-01

Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners' profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge…

The Effect of Blended Learning and Social Media-Supported Learning on the Students' Attitude and Self-Directed Learning Skills in Science Education

ERIC Educational Resources Information Center

Akgunduz, Devrim; Akinoglu, Orhan

2016-01-01

The main purpose of this study is to investigate the effect of blended learning and social media supported learning on the students' attitude and self-directed learning skills in Science Education. This research took place with the 7th grade 74 students attending to a primary school in Kadikoy, Istanbul and carried out "Our Body Systems"…

Self-directed learning readiness of Asian students: students perspective on a hybrid problem based learning curriculum.

PubMed

Leatemia, Lukas D; Susilo, Astrid P; van Berkel, Henk

2016-12-03

To identify the student's readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum. They were categorized into low- and high -level based on the score of the questionnaire. Three focus group discussions (low-, high-, and mixed level) were conducted in the qualitative study with six to twelve students chosen randomly from each group to find the factors influencing their self-directed learning readiness. Two researchers analysed the qualitative data as a measure of triangulation. The quantitative study showed only half of the students had a high-level of self-directed learning readiness, and a similar trend also occurred in each batch. The proportion of students with a high level of self-directed learning readiness was lower in the senior students compared to more junior students. The qualitative study showed that problem based learning processes, assessments, learning environment, students' life styles, students' perceptions of the topics, and mood, were factors influencing their self-directed learning. A hybrid problem based curriculum may not fully affect the students' self-directed learning. The curriculum system, teacher's experiences, student's background and cultural factors might contribute to the difficulties for the student's in conducting self-directed learning.

Effects of the ISIS Recommender System for Navigation Support in Self-Organised Learning Networks

ERIC Educational Resources Information Center

Drachsler, Hendrik; Hummel, Hans; van den Berg, Bert; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; Berlanga, Adriana; Boers, Nanda; Koper, Rob

2009-01-01

The need to support users of the Internet with the selection of information is becoming more important. Learners in complex, self-organising Learning Networks have similar problems and need guidance to find and select most suitable learning activities, in order to attain their lifelong learning goals in the most efficient way. Several research…

A self-learning rule base for command following in dynamical systems

NASA Technical Reports Server (NTRS)

Tsai, Wei K.; Lee, Hon-Mun; Parlos, Alexander

1992-01-01

In this paper, a self-learning Rule Base for command following in dynamical systems is presented. The learning is accomplished though reinforcement learning using an associative memory called SAM. The main advantage of SAM is that it is a function approximator with explicit storage of training samples. A learning algorithm patterned after the dynamic programming is proposed. Two artificially created, unstable dynamical systems are used for testing, and the Rule Base was used to generate a feedback control to improve the command following ability of the otherwise uncontrolled systems. The numerical results are very encouraging. The controlled systems exhibit a more stable behavior and a better capability to follow reference commands. The rules resulting from the reinforcement learning are explicitly stored and they can be modified or augmented by human experts. Due to overlapping storage scheme of SAM, the stored rules are similar to fuzzy rules.

Continuous-Grouped-Self-Learning: In the Perspective of Lecturers, Tutors and Laboratory Instructors

ERIC Educational Resources Information Center

Azau, Mohd Azrin Mohd; Yao, Low Ming; Aik, Goo Soon; Yeong, Chin Kock; Nor, Mohamad Nizam; Abdullah, Ahmad Yusri; Jamil, Mohd Hafidz Mohamad; Yahya, Nasiruddin; Abas, Ahmad Fauzi; Saripan, M. Iqbal

2009-01-01

This paper presents the perception of lecturers, tutors and lab instructors towards the implemented Continuous-Group-Self-Learning (CGSL) in the Department of Computer and Communication System Engineering (CCSE), Universiti Putra Malaysia. This innovative system introduces mock teaching and student-lecturer role as a technique of delivery. The…

Training of Self-Regulated Learning Skills on a Social Network System

ERIC Educational Resources Information Center

Cho, Kwangsu; Cho, Moon-Heum

2013-01-01

The purpose of this study was to investigate whether self-regulated learning (SRL) skills trained using a social network system (SNS) may be generalized outside the training session. A total of 29 undergraduate students participated in the study. During the training session, students in the experimental group were trained to practice…

Student Reflections as Artifacts of Self-Regulatory Behaviors for Learning: A Tale of Two Courses

ERIC Educational Resources Information Center

Bigenho, Christopher William

2011-01-01

The rapid growth of online and blended learning environments in both higher education and K-12, along with the development of innovative game based, narrative driven, problem-based learning (PBL) systems known as Alternate Reality Games (AltRG), has led to the need to understand student's abilities to self-regulate their learning behaviors…

Self-directed learning readiness of Asian students: students perspective on a hybrid problem based learning curriculum

PubMed Central

Susilo, Astrid P.; van Berkel, Henk

2016-01-01

Objectives To identify the student’s readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. Methods A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum. They were categorized into low- and high -level based on the score of the questionnaire. Three focus group discussions (low-, high-, and mixed level) were conducted in the qualitative study with six to twelve students chosen randomly from each group to find the factors influencing their self-directed learning readiness. Two researchers analysed the qualitative data as a measure of triangulation. Results The quantitative study showed only half of the students had a high-level of self-directed learning readiness, and a similar trend also occurred in each batch. The proportion of students with a high level of self-directed learning readiness was lower in the senior students compared to more junior students. The qualitative study showed that problem based learning processes, assessments, learning environment, students’ life styles, students’ perceptions of the topics, and mood, were factors influencing their self-directed learning. Conclusion A hybrid problem based curriculum may not fully affect the students’ self-directed learning. The curriculum system, teacher’s experiences, student’s background and cultural factors might contribute to the difficulties for the student’s in conducting self-directed learning. PMID:27915308

Neural networks for self-learning control systems

NASA Technical Reports Server (NTRS)

Nguyen, Derrick H.; Widrow, Bernard

1990-01-01

It is shown how a neural network can learn of its own accord to control a nonlinear dynamic system. An emulator, a multilayered neural network, learns to identify the system's dynamic characteristics. The controller, another multilayered neural network, next learns to control the emulator. The self-trained controller is then used to control the actual dynamic system. The learning process continues as the emulator and controller improve and track the physical process. An example is given to illustrate these ideas. The 'truck backer-upper,' a neural network controller that steers a trailer truck while the truck is backing up to a loading dock, is demonstrated. The controller is able to guide the truck to the dock from almost any initial position. The technique explored should be applicable to a wide variety of nonlinear control problems.

Resident Self-Assessment and Learning Goal Development: Evaluation of Resident-Reported Competence and Future Goals.

PubMed

Li, Su-Ting T; Paterniti, Debora A; Tancredi, Daniel J; Burke, Ann E; Trimm, R Franklin; Guillot, Ann; Guralnick, Susan; Mahan, John D

2015-01-01

To determine incidence of learning goals by competency area and to assess which goals fall into competency areas with lower self-assessment scores. Cross-sectional analysis of existing deidentified American Academy of Pediatrics' PediaLink individualized learning plan data for the academic year 2009-2010. Residents self-assessed competencies in the 6 Accreditation Council for Graduate Medical Education (ACGME) competency areas and wrote learning goals. Textual responses for goals were mapped to 6 ACGME competency areas, future practice, or personal attributes. Adjusted mean differences and associations were estimated using multiple linear and logistic regression. A total of 2254 residents reported 6078 goals. Residents self-assessed their systems-based practice (51.8) and medical knowledge (53.0) competencies lowest and professionalism (68.9) and interpersonal and communication skills (62.2) highest. Residents were most likely to identify goals involving medical knowledge (70.5%) and patient care (50.5%) and least likely to write goals on systems-based practice (11.0%) and professionalism (6.9%). In logistic regression analysis adjusting for postgraduate year (PGY), gender, and degree type (MD/DO), resident-reported goal area showed no association with the learner's relative self-assessment score for that competency area. In the conditional logistic regression analysis, with each learner serving as his or her own control, senior residents (PGY2/3+s) who rated themselves relatively lower in a competency area were more likely to write a learning goal in that area than were PGY1s. Senior residents appear to develop better skills and/or motivation to explicitly turn self-assessed learning gaps into learning goals, suggesting that individualized learning plans may help improve self-regulated learning during residency. Copyright © 2015 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Self, System, Synergy: A Career-Life Development Framework for Individuals and Organizations.

ERIC Educational Resources Information Center

Gelatt, H. B.

1998-01-01

The Self-System-Synergy model provides the philosophical framework for the concept of career resiliency, which has become the basis for many organizational initiatives. The three elements are self-reliance (the power of personal beliefs), interdependence (the connectedness of multiple systems), and self-renewal through continuous learning. (JOW)

Systems of Goals, Attitudes, and Self-Related Beliefs in Second-Language-Learning Motivation

ERIC Educational Resources Information Center

Kormos, Judit; Kiddle, Thom; Csizer, Kata

2011-01-01

In the present study, we surveyed the English language-learning motivations of 518 secondary school students, university students, and young adult learners in the capital of Chile, Santiago. We applied multi-group structural-equation modeling to analyze how language-learning goals, attitudes, self-related beliefs, and parental encouragement…

Improving Measurements of Self-Regulated Learning

ERIC Educational Resources Information Center

Winne, Philip H.

2010-01-01

Articles in this special issue present recent advances in using state-of-the-art software systems that gather data with which to examine and measure features of learning and particularly self-regulated learning (SRL). Despite important advances, there remain challenges. I examine key features of SRL and how they are measured using common tools. I…

Self-Help Training System for Nursing Students to Learn Patient Transfer Skills

ERIC Educational Resources Information Center

Huang, Zhifeng; Nagata, Ayanori; Kanai-Pak, Masako; Maeda, Jukai; Kitajima, Yasuko; Nakamura, Mitsuhiro; Aida, Kyoko; Kuwahara, Noriaki; Ogata, Taiki; Ota, Jun

2014-01-01

This paper describes the construction and evaluation of a self-help skill training system for assisting student nurses in learning skills involving the transfer of patients from beds to wheelchairs. We have proposed a feedback method that is based on a checklist and video demonstrations. To help trainees efficiently check their performance and…

A Triangular Approach to Motivation in Computer Assisted Autonomous Language Learning (CAALL)

ERIC Educational Resources Information Center

Raby, Francoise

2007-01-01

This study was carried out in a language centre, in French higher education. Teachers and researchers had contrived a pedagogical system labeled guided autonomy which combined class attendance in groups and self-study in the self-study room. This kind of autonomous and technologically enhanced learning system will be referred to as CAALL (Computer…

Willingness to Adopt or Reuse an E-Learning System: The Perspectives of Self-Determination and Perceived Characteristics of Innovation

ERIC Educational Resources Information Center

Chang, Hsin Hsin; Fu, Chen Su; Huang, Ching Ying

2017-01-01

Adopting self-determination theory and the perceived characteristics of innovation as the theoretical background, this study investigates the school teachers' willingness to adopt and reuse an e-learning system. Three hundred and eighty-eight valid questionnaires were collected for analysis using structural equation modelling. The results…

Self-learning Monte Carlo method and cumulative update in fermion systems

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

Liu, Junwei; Shen, Huitao; Qi, Yang

2017-06-07

In this study, we develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion systems. Our method uses a highly efficient update algorithm, which we design and dub “cumulative update”, to generate new candidate configurations in the Markov chain based on a self-learned bosonic effective model. From a general analysis and a numerical study of the double exchange model as an example, we find that the SLMC with cumulative update drastically reduces the computational cost of the simulation, while remaining statistically exact. Remarkably, its computational complexity is far lessmore » than the conventional algorithm with local updates.« less

Limits to Self-Organising Systems of Learning--The Kalikuppam Experiment

ERIC Educational Resources Information Center

Mitra, Sugata; Dangwal, Ritu

2010-01-01

What and how much can children learn without subject teachers? In an attempt to find a limit to self organized learning, we explored the capacity of 10-14 year old Tamil-speaking children in a remote Indian village to learn basic molecular biology, initially on their own with a Hole-in-the-Wall public computer facility, and later with the help of…

Exploring Online Students' Self-Regulated Learning with Self-Reported Surveys and Log Files: A Data Mining Approach

ERIC Educational Resources Information Center

Cho, Moon-Heum; Yoo, Jin Soung

2017-01-01

Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…

Critical thinking as a self-regulatory process component in teaching and learning.

PubMed

Phan, Huy P

2010-05-01

This article presents a theoretically grounded model of critical thinking and self-regulation in the context of teaching and learning. Critical thinking, deriving from an educational psychology perspective is a complex process of reflection that helps individuals become more analytical in their thinking and professional development. My conceptualisation in this discussion paper argues that both theoretical orientations (critical thinking and self-regulation) operate in a dynamic interactive system of teaching and learning. My argument, based on existing research evidence, suggests two important points: (i) critical thinking acts as another cognitive strategy of self-regulation that learners use in their learning, and (ii) critical thinking may be a product of various antecedents such as different self-regulatory strategies.

Novel associative-memory-based self-learning neurocontrol model

NASA Astrophysics Data System (ADS)

Chen, Ke

1992-09-01

Intelligent control is an important field of AI application, which is closely related to machine learning, and the neurocontrol is a kind of intelligent control that controls actions of a physical system or a plant. Linear associative memory model is a good analytic tool for artificial neural networks. In this paper, we present a novel self-learning neurocontrol on the basis of the linear associative memory model to support intelligent control. Using our self-learning neurocontrol model, the learning process is viewed as an extension of one of J. Piaget's developmental stages. After a particular linear associative model developed by us is presented, a brief introduction to J. Piaget's cognitive theory is described as the basis of our self-learning style control. It follows that the neurocontrol model is presented, which usually includes two learning stages, viz. primary learning and high-level learning. As a demonstration of our neurocontrol model, an example is also presented with simulation techniques, called that `bird' catches an aim. The tentative experimental results show that the learning and controlling performance of this approach is surprisingly good. In conclusion, future research is pointed out to improve our self-learning neurocontrol model and explore other areas of application.

Cognitive Support Embedded in Self-Regulated E-Learning Systems for Students with Special Learning Needs

ERIC Educational Resources Information Center

Chatzara, K.; Karagiannidis, C.; Stamatis, D.

2016-01-01

This paper presents an anthropocentric approach in human-machine interaction in the area of self-regulated e-learning. In an attempt to enhance communication mediated through computers for pedagogical use we propose the incorporation of an intelligent emotional agent that is represented by a synthetic character with multimedia capabilities,…

Shallow Strategy Development in a Teachable Agent Environment Designed to Support Self-Regulated Learning

ERIC Educational Resources Information Center

Roscoe, Rod D.; Segedy, James R.; Sulcer, Brian; Jeong, Hogyeong; Biswas, Gautam

2013-01-01

To support self-regulated learning (SRL), computer-based learning environments (CBLEs) are often designed to be open-ended and multidimensional. These systems incorporate diverse features that allow students to enact and reveal their SRL strategies via the choices they make. However, research shows that students' use of such features is limited;…

A Closer Look at Split Visual Attention in System- and Self-Paced Instruction in Multimedia Learning

ERIC Educational Resources Information Center

Schmidt-Weigand, Florian; Kohnert, Alfred; Glowalla, Ulrich

2010-01-01

Two experiments examined visual attention distribution in learning from text and pictures. Participants watched a 16-step multimedia instruction on the formation of lightning. In Experiment 1 (N=90) the instruction was system-paced (fast, medium, slow pace), while it was self-paced in Experiment 2 (N=31). In both experiments the text modality was…

The Role of Self-Regulated Learning in Fostering Students' Conceptual Understanding of Complex Systems with Hypermedia

ERIC Educational Resources Information Center

Azevedo, Roger; Guthrie, John T.; Seibert, Diane

2004-01-01

This study examines the role of self-regulated learning (SRL) in facilitating students' shifts to more sophisticated mental models of the circulatory system as indicated by both performance and process data. We began with Winne and colleagues' information processing model of SRL (Winne, 2001; Winne & Hadwin, 1998) and used it to examine how…

Fostering Self-Regulated Learning in a Blended Environment Using Group Awareness and Peer Assistance as External Scaffolds

ERIC Educational Resources Information Center

Lin, J-W.; Lai, Y-C.; Lai, Y-C.; Chang, L-C.

2016-01-01

Most systems for training self-regulated learning (SRL) behaviour focus on the provision of a learner-centred environment. Such systems repeat the training process and place learners alone to experience that process iteratively. According to the relevant literature, external scaffolds are more promising for effective SRL training. In this work,…

The Role of Self-Efficacy in Predicting Use of Distance Education Tools and Learning Management Systems

ERIC Educational Resources Information Center

Arpaci, Ibrahim

2017-01-01

This study aims to investigate the role of self-efficacy in predicting students' use of distance education tools and learning management systems (LMSs). A total of 124 undergraduate students who enrolled in a course on Distance Education and selected using convenience sampling willingly participated in the study. The participants had little prior…

Can Students Collaboratively Use Hypermedia to Learn Science? The Dynamics of Self-And Other-Regulatory Processes in an Ecology Classroom

ERIC Educational Resources Information Center

Azevedo, Roger; Winters, Fielding I.; Moos, Daniel C.

2004-01-01

This classroom study examined the role of low-achieving students' self-regulated learning (SRL) behaviors and their teacher's scaffolding of SRL while using a Web-based water quality simulation environment to learn about ecological systems. Forty-nine 11th and 12th grade students learned about ecology and the effects of land use on water quality…

Suggestions for the Design of E-Learning Environments to Enhance Learner Self-Efficacy

ERIC Educational Resources Information Center

Hodges, Charles B.

2013-01-01

In this paper e-learning is used as an umbrella term for all types of learning involving technology. Graesser et al (2007) note that technologies for learning exist that allow for e-learning systems to be much more than information delivery systems, but "unfortunately, the learning strategies of most students are extremely limited, so the…

An exploratory investigation of teaching innovations and learning factors in a lean manufacturing systems engineering course

NASA Astrophysics Data System (ADS)

Choomlucksana, Juthamas; Doolen, Toni L.

2017-11-01

The use of collaborative activities and simulation sessions in engineering education has been explored previously. However, few studies have investigated the relationship of these types of teaching innovations with other learner characteristics, such as self-efficacy and background knowledge. This study explored the effects of collaborative activities and simulation sessions on learning and the relationships between self-efficacy beliefs, background knowledge, and learning. Data were collected from two different terms in an upper division engineering course entitled Lean Manufacturing Systems Engineering. Findings indicated that the impact of collaborative activities and simulation sessions appears to be different, depending on the concepts being taught. Simulation sessions were found to have a significant effect on self-efficacy beliefs, and background knowledge had a mixed effect on learning. Overall the results of this study highlight the complex set of relationships between classroom innovations, learner characteristics, and learning.

Extend Instruction outside the Classroom: Take Advantage of Your Learning Management System

ERIC Educational Resources Information Center

Jensen, Lauren A.

2010-01-01

Numerous institutions of higher education have implemented a learning management system (LMS) or are considering doing so. This web-based software package provides self-service and quick (often personalized) access to content in a dynamic environment. Learning management systems support administrative, reporting, and documentation activities. LMSs…

The Influence of the Conduct System and Campus Environments on Student Learning

ERIC Educational Resources Information Center

Janosik, Steven M.; Stimpson, Matthew T.

2017-01-01

Researchers have demonstrated the influence of the perceived efficacy of a conduct system on student learning (King, 2012; Stimpson & Janosik, 2015). Multivariate Analysis of Variance (MANOVA) was used to test the relationship between perceived level of conduct system efficacy, institutional culture, and self-reported student learning. More…

A neural learning classifier system with self-adaptive constructivism for mobile robot control.

PubMed

Hurst, Jacob; Bull, Larry

2006-01-01

For artificial entities to achieve true autonomy and display complex lifelike behavior, they will need to exploit appropriate adaptable learning algorithms. In this context adaptability implies flexibility guided by the environment at any given time and an open-ended ability to learn appropriate behaviors. This article examines the use of constructivism-inspired mechanisms within a neural learning classifier system architecture that exploits parameter self-adaptation as an approach to realize such behavior. The system uses a rule structure in which each rule is represented by an artificial neural network. It is shown that appropriate internal rule complexity emerges during learning at a rate controlled by the learner and that the structure indicates underlying features of the task. Results are presented in simulated mazes before moving to a mobile robot platform.

Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors.

PubMed

Villaverde, Monica; Perez, David; Moreno, Felix

2015-11-17

The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor's infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

The Influence of Teacher Perceived Administration of Self-Regulated Learning on Students' Motivation and Information-Processing

ERIC Educational Resources Information Center

Rozendaal, J.S.; Minnaert, A.; Boekaerts, M.

2005-01-01

This study investigates the influence of teacher perceived administration of self-regulated learning on students' motivation and information-processing over time. This was done in the context of the Interactive Learning group System (ILS^(R)): a large-scale innovation program in Dutch vocational schools. A total of 185 students were grouped post…

Self-Regulated Learning: The Continuous-Change Conceptual Framework and a Vision of New Paradigm, Technology System, and Pedagogical Support

ERIC Educational Resources Information Center

Huh, Yeol; Reigeluth, Charles M.

2017-01-01

A modified conceptual framework called the Continuous-Change Framework for self-regulated learning (SRL) is presented. Common elements and limitations among the past frameworks are discussed in relation to the modified conceptual framework. The iterative nature of the goal setting process and overarching presence of self-efficacy and motivational…

On Learning: Metrics Based Systems for Countering Asymmetric Threats

DTIC Science & Technology

2006-05-25

of self- education . While this alone cannot guarantee organizational learning , no organization can learn without a spirit of individual learning ...held views on globalization and the impact of Information Age technology . The emerging environment conceptually links to the learning model as part...On Learning : Metrics Based Systems for Countering Asymmetric Threats A Monograph by MAJ Rafael Lopez U.S. Army School of Advanced Military

Online Reflective Writing Mechanisms and Its Effects on Self-Regulated Learning: A Case of Web-Based Portfolio Assessment System

ERIC Educational Resources Information Center

Liang, Chaoyun; Chang, Chi-Cheng; Shu, Kuen-Ming; Tseng, Ju-Shih; Lin, Chun-Yu

2016-01-01

The purpose of the present study was to design reflective writing mechanisms in a web-based portfolio assessment system and evaluate its effects on self-regulated learning. Participants were two classes of juniors majoring in data processing and taking a course called "Website design" at a vocational high school in Taiwan. One class was…

The Effects of Self-Regulatory Learning through Computer-Assisted Intelligent Tutoring System on the Improvement of EFL Learners' Speaking Ability

ERIC Educational Resources Information Center

Mohammadzadeh, Ahmad; Sarkhosh, Mehdi

2018-01-01

The current study attempted to investigate the effects of self-regulatory learning through computer-assisted intelligent tutoring system on the improvement of speaking ability. The participants of the study, who spoke Azeri Turkish as their mother tongue, were students of Applied Linguistics at BA level at Pars Abad's Azad University, Ardebil,…

Influence of Learning Management Systems Self-Efficacy on E-Learning Performance

ERIC Educational Resources Information Center

Martin, Florence; Tutty, Jeremy I.; Su, Yuyan

2010-01-01

Recent advancements in technology have changed the way educators teach and students learn (Wells, Fieger & Lange, 2005). In the last decade, educational trends have progressed towards online and blended instruction. One key in this revolution is the development of the Learning Management System (LMS); software that enables the management and…

Unit Mastery Learning in an Introductory Geography Course

ERIC Educational Resources Information Center

Healy, John R.; Stephenson, Larry K.

1975-01-01

The unit mastery learning system is a method of individualized, self-paced learning which, through repeatable testing, enables students to attain a mastery of the content of one unit before proceeding to the next in the program. This article describes the unit mastery learning system and its application in an introductory geography course at Hilo…

Contextual attributes promote or hinder self-regulated learning: A qualitative study contrasting rural physicians with undergraduate learners in Japan.

PubMed

Matsuyama, Yasushi; Nakaya, Motoyuki; Okazaki, Hitoaki; Leppink, Jimmie; van der Vleuten, Cees

2018-03-01

Previous studies support the notion that East Asian medical students do not possess sufficient self-regulation for postgraduate clinical training. However, some East Asian physicians who are employed in geographically isolated and educationally underserved rural settings can self-regulate their study during the early phase of their postgraduate career. To explore the contextual attributes that contribute to self-regulated learning (SRL), we examined the differences in self-regulation between learning as an undergraduate and in a rural context in East Asia. We conducted interviews and diary data collection among rural physicians (n = 10) and undergraduates (n = 11) in Japan who undertook self-study of unfamiliar diseases. We analyzed three domains of Zimmerman's definition of SRL: learning behaviors, motivation, and metacognition using constructivist grounded theory. Rural physicians recognized their identity as unique, and as professionals with a central role of handling diseases in the local community by conducting self-study. They simultaneously found themselves being at risk of providing inappropriate aid if their self-study was insufficient. They developed strategic learning strategies to cope with this high-stakes task. Undergraduates had a fear of being left behind and preferred to remain as one of the crowd with students in the same school year. Accordingly, they copied the methods of other students for self-study and used monotonous and homogeneous strategies. Different learning contexts do not keep East Asian learners from being self-regulated. Awareness of their unique identity leads them to view learning tasks as high-stakes, and to initiate learning strategies in a self-regulated manner. Teacher-centered education systems cause students to identify themselves as one of the crowd, and tasks as low-stakes, and to accordingly employ non-self-regulated strategies.

Verification of 'learning credits' by GP appraisers.

PubMed

Murie, Jill; Wakeling, Judy

2011-11-01

The RCGP CPD Learning Credits system aims to enable GPs to demonstrate knowledge and skills relevant to their daily practice. Credits are self-assessed and will form part of the 'evidence' necessary for successful revalidation. At an appraisal, GP appraisers verify the credits in terms of the time spent on the CPD activity and its impact on the GP's practice. The purpose of this study was to examine the extent to which GPs (as appraisees) are able to self-assess their own learning and, as appraisers, verify credits in a standardised way. All 17 GP appraisers in NHS Lanarkshire were invited to participate in a study, which triangulated three sources of evidence on credits: self-rating, peer-assessment and workshop discussion. The resultant data were analysed on an Excel spreadsheet. Outcomes included self-assessed credit value, peer-assessed mean score (range) and free text. Of the 17 appraisers, 15 completed the paperwork and 13 attended the workshop. GPs' self-assessed learning credits were equivalent to peer-assessed score in 5/15 cases, but considered overestimates in 4/15 and underestimates in 6/15 cases. The most extreme variance was for an oncology module, where the variance ranged from 28% to 200% of the self-assessed score. GPs have a variable understanding of how to award themselves learning credits and of how to judge the credits of potential appraisees. Without adequate resources for appraisal training, validated instruments, calibration and reliability, verification of the learning credit system will be flawed by its subjective and arbitrary nature.

Toward Self-Referential Autonomous Learning of Object and Situation Models.

PubMed

Damerow, Florian; Knoblauch, Andreas; Körner, Ursula; Eggert, Julian; Körner, Edgar

2016-01-01

Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referential autonomous learning which enables the refinement of object and situation models during operation in order to optimize behavior. This includes structural learning of hierarchical models for situations and behaviors that is triggered by a mismatch between expected and actual action outcome. Besides proposing architectural concepts, we also describe a first implementation of our system within a simulated traffic scenario to demonstrate the feasibility of our approach.

LearnAlaska Portal

Science.gov Websites

ESS (Employee Self Service) E-Travel Online Login IRIS FIN/PROC Login IRIS HRM Login LearnAlaska SFOA SharePoint Site TRIPS (Traveler Integrated Profile System) Vendor Self Service (VSS) Resources Alaska & Resources Manuals Payment Detail Report Salary Schedules SFOA SharePoint Site (SOA Only) Training

The Developmental Trajectory of Perceived Self-Regulation, Personal Interest, and General Achievement throughout High School: A Longitudinal Study

ERIC Educational Resources Information Center

Helle, Laura; Laakkonen, Eero; Tuijula, Tiina; Vermunt, Jan D.

2013-01-01

Background: Our interest in perceived self-regulation of learning arose in the context of educational reform. After decades of stability, the Finnish high school system underwent reform in the 1990s, with a significant emphasis being placed on promoting student self-regulation of learning. Aims: The purposes of the study were (1) to evaluate…

A nursing theory of personal system empathy: interpreting a conceptualization of empathy in King's interacting systems.

PubMed

Alligood, M R; May, B A

2000-07-01

This article presents a theory of empathy discovered through rational hermeneutic interpretation within King's personal system. Personal system concepts from King's general systems framework include perception, self, growth and development, body image, space, time, and learning. Propositions for each concept in the personal system were explicated and a theory of nursing empathy was developed. This nursing theory proposes that empathy organizes perceptions; facilitates awareness of self and others; increases sensitivity; promotes shared respect, mutual goals, and social awareness; cultivates understanding of individuals within a historical and social context; and affects learning.

Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge

ERIC Educational Resources Information Center

Macfadyen, Leah P.; Dawson, Shane; Pardo, Abelardo; Gaševic, Dragan

2014-01-01

In the new era of big educational data, learning analytics (LA) offer the possibility of implementing real-time assessment and feedback systems and processes at scale that are focused on improvement of learning, development of self-regulated learning skills, and student success. However, to realize this promise, the necessary shifts in the…

'Ain't nothin' like the real thing'. Motivation and study processes on a work-based project course in information systems design.

PubMed

Helle, Laura; Tynjälä, Päivi; Olkinuora, Erkki; Lonka, Kirsti

2007-06-01

Advocates of the project method claim that project-based learning inspires student learning. However, it has been claimed that project-based learning environments demand quite a bit of self-regulation on the part of the learner. Consequently, it was tested whether students scoring low in self-regulation of learning experienced 'friction', an incompatibility between student self-regulation and the demands posed by the learning environment. This would be manifest in cognitive processing and motivation. The target group consisted of 58 mainly third-year Finnish university students taking a mandatory project course in information systems design. During the project course, student teams completed a commissioned assignment. The study also included a matched nonequivalent comparison group composed of computer science students attending study programmes without a project-based component. Data were gathered by means of a questionnaire administered at the beginning and end of the project course and it was analysed by between-groups repeated measures ANOVA. In addition, the students on the course were interviewed. Results suggest that the work-based project model in question may indeed have a substantial motivational impact, interestingly benefitting especially those students who scored low in self-regulation. It is argued that we tend to view learning environments too simplistically. In particular, a basic distinction should be made between individual and collaborative learning contexts, since peer scaffolding, group grading and choice of group roles may explain why students scoring low in self-regulation of learning did not encounter friction as expected.

Improved Modeling of Intelligent Tutoring Systems Using Ant Colony Optimization

ERIC Educational Resources Information Center

Rastegarmoghadam, Mahin; Ziarati, Koorush

2017-01-01

Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…

I CAN Learn[R] Pre-Algebra and Algebra. What Works Clearinghouse Intervention Report

ERIC Educational Resources Information Center

What Works Clearinghouse, 2009

2009-01-01

The I CAN Learn[R] Education System is an interactive, self-paced, mastery-based software system that includes the I CAN Learn[R] Fundamentals of Math (5th-6th grade math) curriculum, the I CAN Learn[R] Pre-Algebra curriculum, and the I CAN Learn[R] Algebra curriculum. College algebra credit is also available to students in participating schools…

The impact of the learning contract on self-directed learning and satisfaction in nursing students in a clinical setting.

PubMed

Sajadi, Mahboobeh; Fayazi, Neda; Fournier, Andrew; Abedi, Ahmad Reza

2017-01-01

Background: The most important responsibilities of an education system are to create self-directed learning opportunities and develop the required skills for taking the responsibility for change. The present study aimed at determining the impact of a learning contract on self-directed learning and satisfaction of nursing students. Methods: A total of 59 nursing students participated in this experimental study. They were divided into six 10-member groups. To control the communications among the groups, the first 3 groups were trained using conventional learning methods and the second 3 groups using learning contract method. In the first session, a pretest was performed based on educational objectives. At the end of the training, the students in each group completed the questionnaires of self-directed learning and satisfaction. The results of descriptive and inferential statistical methods (dependent and independent t tests) were presented using SPSS. Results: There were no significant differences between the 2 groups in gender, grade point average of previous years, and interest toward nursing. However, the results revealed a significant difference between the 2 groups in the total score of self-directed learning (p= 0.019). Although the mean satisfaction score was higher in the intervention group, the difference was not statistically significant. Conclusion: This study suggested that the use of learning contract method in clinical settings enhances self-directed learning among nursing students. Because this model focuses on individual differences, the researcher highly recommends the application of this new method to educators.

Global adaptation in networks of selfish components: emergent associative memory at the system scale.

PubMed

Watson, Richard A; Mills, Rob; Buckley, C L

2011-01-01

In some circumstances complex adaptive systems composed of numerous self-interested agents can self-organize into structures that enhance global adaptation, efficiency, or function. However, the general conditions for such an outcome are poorly understood and present a fundamental open question for domains as varied as ecology, sociology, economics, organismic biology, and technological infrastructure design. In contrast, sufficient conditions for artificial neural networks to form structures that perform collective computational processes such as associative memory/recall, classification, generalization, and optimization are well understood. Such global functions within a single agent or organism are not wholly surprising, since the mechanisms (e.g., Hebbian learning) that create these neural organizations may be selected for this purpose; but agents in a multi-agent system have no obvious reason to adhere to such a structuring protocol or produce such global behaviors when acting from individual self-interest. However, Hebbian learning is actually a very simple and fully distributed habituation or positive feedback principle. Here we show that when self-interested agents can modify how they are affected by other agents (e.g., when they can influence which other agents they interact with), then, in adapting these inter-agent relationships to maximize their own utility, they will necessarily alter them in a manner homologous with Hebbian learning. Multi-agent systems with adaptable relationships will thereby exhibit the same system-level behaviors as neural networks under Hebbian learning. For example, improved global efficiency in multi-agent systems can be explained by the inherent ability of associative memory to generalize by idealizing stored patterns and/or creating new combinations of subpatterns. Thus distributed multi-agent systems can spontaneously exhibit adaptive global behaviors in the same sense, and by the same mechanism, as with the organizational principles familiar in connectionist models of organismic learning.

Effects of Collaborative Online Learning on EFL Learners' Writing Performance and Self-Efficacy

ERIC Educational Resources Information Center

Tai, Hung-Cheng

2016-01-01

This study explored the effects of collaborative writing instruction on undergraduate nursing students' writing performance and self-efficacy beliefs within an online learning system. A single-group experimental study utilized two instruments, the NCEEC (National College Entrance Examination Center) writing grading criteria (the SRCT) and a…

On the Performance of Self-Directed Learning within the French Continuing Vocational Training System.

ERIC Educational Resources Information Center

Dif, M'Hamed

Continuing vocational training (CVT) was officially introduced and codified in France in 1971 to promote individuals' employability, career development, and job flexibility. Self-directed learning was initially considered among the most important instruments for its implementation in addition to employer-directed CVT. Despite increased and…

Adolescents' Perceptions of Chronic Self-Concept, Peer Relations, and Learning Conditions

ERIC Educational Resources Information Center

Liu, Weiping; Eckert, Thomas

2014-01-01

Based on Lewin's Field Theory, Bronfenbrenner's Bioecological Systems Theory and social network analysis, the authors collected data from 405 Chinese adolescents about their peer relations, chronic self-concept levels and learning condition variables through questionnaire distributing, and from their teachers about their annual average academic…

Needs and Rewards. Supervising: Principles and Practice of Supervision. The Choice Series #11. A Self Learning Opportunity.

ERIC Educational Resources Information Center

Ellingham, Richard

This learning unit on needs and rewards is one in the Choice Series, a self-learning development program for supervisors. Purpose stated for the approximately eight-hour-long unit is to enable the supervisor to understand and list the needs that influence work behavior and devise ways in which a work system can be both productive and rewarding for…

An Application of the L2 Motivational Self System to Motivate Elementary School English Learners in Singapore

ERIC Educational Resources Information Center

Magid, Michael

2014-01-01

I will describe a program that I developed to motivate grade five elementary school learners of English in Singapore to put more time and effort into learning English by enhancing their vision of their Ideal second language (L2) self and making their goals for learning English more clear and specific. The Ideal L2 self is the representation of the…

Self-learning Monte Carlo with deep neural networks

NASA Astrophysics Data System (ADS)

Shen, Huitao; Liu, Junwei; Fu, Liang

2018-05-01

The self-learning Monte Carlo (SLMC) method is a general algorithm to speedup MC simulations. Its efficiency has been demonstrated in various systems by introducing an effective model to propose global moves in the configuration space. In this paper, we show that deep neural networks can be naturally incorporated into SLMC, and without any prior knowledge can learn the original model accurately and efficiently. Demonstrated in quantum impurity models, we reduce the complexity for a local update from O (β2) in Hirsch-Fye algorithm to O (β lnβ ) , which is a significant speedup especially for systems at low temperatures.

[Assessment of learning activities using streaming video for laboratory practice education: aiming for development of E-learning system that promotes self-learning].

PubMed

Takeda, Naohito; Takeuchi, Isao; Haruna, Mitsumasa

2007-12-01

In order to develop an e-learning system that promotes self-learning, lectures and basic operations in laboratory practice of chemistry were recorded and edited on DVD media, consisting of 8 streaming videos as learning materials. Twenty-six students wanted to watch the DVD, and answered the following questions after they had watched it: "Do you think the video would serve to encourage you to study independently in the laboratory practice?" Almost all students (95%) approved of its usefulness, and more than 60% of them watched the videos repeatedly in order to acquire deeper knowledge and skill of the experimental operations. More than 60% answered that the demonstration-experiment should be continued in the laboratory practice, in spite of distribution of the DVD media.

Empirical Validation of the Importance of Employees' Learning Motivation for Workplace E-Learning in Taiwanese Organisations

ERIC Educational Resources Information Center

Chen, Hsiu-Ju; Kao, Chia-Hung

2012-01-01

E-learning systems, adopted by organisations for employee training to enhance employees' performance, are characterised by self-directed, autonomous learning. Learning motivation is then of importance in the design of e-learning practices in workplace. However, empirical study of the alignment of e-learning with individual learning needs and…

Error Awareness and Recovery in Conversational Spoken Language Interfaces

DTIC Science & Technology

2007-05-01

portant step towards constructing autonomously self -improving systems. Furthermore, we developed a scalable, data-driven approach that allows a system...prob- lems in spoken dialog (as well as other interactive systems) and constitutes an important step towards building autonomously self -improving...implicitly-supervised learning approach is applicable to other problems, and represents an important step towards developing autonomous, self

Modeling the Delivery Physiology of Distributed Learning Systems.

ERIC Educational Resources Information Center

Paquette, Gilbert; Rosca, Ioan

2003-01-01

Discusses instructional delivery models and their physiology in distributed learning systems. Highlights include building delivery models; types of delivery models, including distributed classroom, self-training on the Web, online training, communities of practice, and performance support systems; and actors (users) involved, including experts,…

Adolescents' Use of Self-Regulatory Processes and Their Relation to Qualitative Mental Model Shifts while Using Hypermedia

ERIC Educational Resources Information Center

Greene, Jeffrey Alan; Azevedo, Roger

2007-01-01

This study examined 148 adolescents' use of self-regulated learning (SRL) processes when learning about the circulatory system using hypermedia. We examined participants' verbal protocols to determine the relationship between SRL processes and qualitative shifts in students' mental models from pretest to posttest. Results indicated that…

Tools and Trends in Self-Paced Language Instruction

ERIC Educational Resources Information Center

Godwin-Jones, Robert

2007-01-01

Ever since the PLATO system of the 1960's, CALL (computer assisted language learning) has had a major focus on providing self-paced, auto-correcting exercises for language learners to practice their skills and improve their knowledge of discrete areas of language learning. The computer has been recognized from the beginning as a patient and…

An Adaptive Testing System for Supporting Versatile Educational Assessment

ERIC Educational Resources Information Center

Huang, Yueh-Min; Lin, Yen-Ting; Cheng, Shu-Chen

2009-01-01

With the rapid growth of computer and mobile technology, it is a challenge to integrate computer based test (CBT) with mobile learning (m-learning) especially for formative assessment and self-assessment. In terms of self-assessment, computer adaptive test (CAT) is a proper way to enable students to evaluate themselves. In CAT, students are…

The Future of Schooling: Children and Learning at the Edge of Chaos

ERIC Educational Resources Information Center

Mitra, Sugata

2014-01-01

This paper describes the effect that assistive technologies, such as paper, printing, protractors, logarithm tables, computers, and the Internet, have on pedagogy. It reports the results of experiments with self-organising systems in primary education and develops the concept of a self-organised learning environment (SOLE). It then describes how…

A Technology-Enhanced Intervention for Self-Regulated Learning in Science

ERIC Educational Resources Information Center

Berglas-Shapiro, Tali; Eylon, Bat-Sheva; Scherz, Zahava

2017-01-01

This article describes the development of a technology-enhanced self-regulated learning (Te- SRL) environment designed to foster students' SRL of complex science topics. The environment consists of three components, one of which is a specially designed computerized system that offers students a choice between different types of scaffolding and…

Self-Assessment in the REAP Tutor: Knowledge, Interest, Motivation, & Learning

ERIC Educational Resources Information Center

Dela Rosa, Kevin; Eskenazi, Maxine

2013-01-01

Self-assessment questionnaires have long been used in tutoring systems to help researchers measure and evaluate various aspects of a student's performance during learning activities. In this paper, we chronicle the efforts made in the REAP project, a language tutor developed to teach vocabulary to ESL students through reading activities, to…

Feedback Mechanisms in Learning Virtual Community Settings

ERIC Educational Resources Information Center

Colazzo, Luigi; Comai, Alessio; Davi, Filippo; Molinari, Andrea; Villa, Nicola

2010-01-01

This paper introduces a set of services for the creation of on-line surveys, questionnaires, exams and self-assessment tests within a virtual community system used in e-learning settings. The system, called "Online Communities", is a dynamic web application used as platform for blended learning activities by the Faculty of Economics of…

An Investigation of Employees' Use of E-Learning Systems: Applying the Technology Acceptance Model

ERIC Educational Resources Information Center

Lee, Yi-Hsuan; Hsieh, Yi-Chuan; Chen, Yen-Hsun

2013-01-01

The purpose of this study is to apply the technology acceptance model to examine the employees' attitudes and acceptance of electronic learning (e-learning) systems in organisations. This study examines four factors (organisational support, computer self-efficacy, prior experience and task equivocality) that are believed to influence employees'…

Promoting Teachers' Learning and Knowledge Building in a Socio-Technical System

ERIC Educational Resources Information Center

Tammets, Kairit; Pata, Kai; Laanpere, Mart

2013-01-01

The study proposes a way in which the learning and knowledge building (LKB) framework, which is consistent with the knowledge conversion phases proposed by Nonaka and Takeuchi, supports teachers' informal and self-directed workplace learning. An LKB framework in a socio-technical system was developed to support professional development in an…

Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning

ERIC Educational Resources Information Center

Bouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam

2012-01-01

Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…

Conversational Agents in E-Learning

NASA Astrophysics Data System (ADS)

Kerry, Alice; Ellis, Richard; Bull, Susan

This paper discusses the use of natural language or 'conversational' agents in e-learning environments. We describe and contrast the various applications of conversational agent technology represented in the e-learning literature, including tutors, learning companions, language practice and systems to encourage reflection. We offer two more detailed examples of conversational agents, one which provides learning support, and the other support for self-assessment. Issues and challenges for developers of conversational agent systems for e-learning are identified and discussed.

Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned.

PubMed

Savel, Craig; Mierzwa, Stan; Gorbach, Pamina M; Souidi, Samir; Lally, Michelle; Zimet, Gregory; Interventions, Aids

2016-01-01

This paper reports on a specific Web-based self-report data collection system that was developed for a public health research study in the United States. Our focus is on technical outcome results and lessons learned that may be useful to other projects requiring such a solution. The system was accessible from any device that had a browser that supported HTML5. Report findings include: which hardware devices, Web browsers, and operating systems were used; the rate of survey completion; and key considerations for employing Web-based surveys in a clinical trial setting.

Reinforcement learning of periodical gaits in locomotion robots

NASA Astrophysics Data System (ADS)

Svinin, Mikhail; Yamada, Kazuyaki; Ushio, S.; Ueda, Kanji

1999-08-01

Emergence of stable gaits in locomotion robots is studied in this paper. A classifier system, implementing an instance- based reinforcement learning scheme, is used for sensory- motor control of an eight-legged mobile robot. Important feature of the classifier system is its ability to work with the continuous sensor space. The robot does not have a prior knowledge of the environment, its own internal model, and the goal coordinates. It is only assumed that the robot can acquire stable gaits by learning how to reach a light source. During the learning process the control system, is self-organized by reinforcement signals. Reaching the light source defines a global reward. Forward motion gets a local reward, while stepping back and falling down get a local punishment. Feasibility of the proposed self-organized system is tested under simulation and experiment. The control actions are specified at the leg level. It is shown that, as learning progresses, the number of the action rules in the classifier systems is stabilized to a certain level, corresponding to the acquired gait patterns.

Experiments in socially guided exploration: lessons learned in building robots that learn with and without human teachers

NASA Astrophysics Data System (ADS)

Thomaz, Andrea; Breazeal, Cynthia

2008-06-01

We present a learning system, socially guided exploration, in which a social robot learns new tasks through a combination of self-exploration and social interaction. The system's motivational drives, along with social scaffolding from a human partner, bias behaviour to create learning opportunities for a hierarchical reinforcement learning mechanism. The robot is able to learn on its own, but can flexibly take advantage of the guidance of a human teacher. We report the results of an experiment that analyses what the robot learns on its own as compared to being taught by human subjects. We also analyse the video of these interactions to understand human teaching behaviour and the social dynamics of the human-teacher/robot-learner system. With respect to learning performance, human guidance results in a task set that is significantly more focused and efficient at the tasks the human was trying to teach, whereas self-exploration results in a more diverse set. Analysis of human teaching behaviour reveals insights of social coupling between the human teacher and robot learner, different teaching styles, strong consistency in the kinds and frequency of scaffolding acts across teachers and nuances in the communicative intent behind positive and negative feedback.

A Teaching and Learning Sequence about the Interplay of Chance and Determinism in Nonlinear Systems

ERIC Educational Resources Information Center

Stavrou, D.; Duit, R.; Komorek, M.

2008-01-01

A teaching and learning sequence aimed at introducing upper secondary school students to the interplay between chance and determinism in nonlinear systems is presented. Three experiments concerning nonlinear systems (deterministic chaos, self-organization and fractals) and one experiment concerning linear systems are introduced. Thirty upper…

A Proposal of 3-dimensional Self-organizing Memory and Its Application to Knowledge Extraction from Natural Language

NASA Astrophysics Data System (ADS)

Sakakibara, Kai; Hagiwara, Masafumi

In this paper, we propose a 3-dimensional self-organizing memory and describe its application to knowledge extraction from natural language. First, the proposed system extracts a relation between words by JUMAN (morpheme analysis system) and KNP (syntax analysis system), and stores it in short-term memory. In the short-term memory, the relations are attenuated with the passage of processing. However, the relations with high frequency of appearance are stored in the long-term memory without attenuation. The relations in the long-term memory are placed to the proposed 3-dimensional self-organizing memory. We used a new learning algorithm called ``Potential Firing'' in the learning phase. In the recall phase, the proposed system recalls relational knowledge from the learned knowledge based on the input sentence. We used a new recall algorithm called ``Waterfall Recall'' in the recall phase. We added a function to respond to questions in natural language with ``yes/no'' in order to confirm the validity of proposed system by evaluating the quantity of correct answers.

Private English Tutoring and Adolescents' Motivation to Learn English as a Foreign Language: A Self System Perspective

ERIC Educational Resources Information Center

Huang, Hung-Tzu

2017-01-01

The present study investigated how self-related English learning motivation among Taiwanese adolescent learners differs between students who only receive English instruction in formal schooling and those who have additional private tutoring. A total of 1,698 teenage English learners in public secondary schools across Taiwan completed a…

Education and Self-Regulation of Learning for Gifted Pupils: Systemic Design and Development

ERIC Educational Resources Information Center

Mooij, Ton

2008-01-01

Gifted pupils differ from their age-mates with respect to development potential, actual competencies, self-regulatory capabilities, and learning styles in one or more domains of competence. The question is how to design and develop education that fits and further supports such characteristics and competencies of gifted pupils. Analysis of various…

Enhancing Learning from Different Visualizations by Self-Explanation Prompts

ERIC Educational Resources Information Center

Lin, Lijia; Atkinson, Robert K.

2013-01-01

The purpose of the two experiments was to investigate the potential effects of different types of visualizations and self-explanation prompts on learning human cardiovascular system in a multimedia environment. In Experiments 1 and 2, 70 and 44 college students were randomly assigned to one of the four conditions in a 2 × 2 factorial design with…

The Role of Self-Determination Theory in Explaining Teachers' Motivation to Continue to Use E-Learning Technology

ERIC Educational Resources Information Center

Sorebo, Oystein; Halvari, Hallgier; Gulli, Vebjorn Flaata; Kristiansen, Roar

2009-01-01

Based on self-determination theory, this study proposes an extended information systems continuance theory in the context of teachers' utilization of e-learning technology in connection with on-site courses. In the proposed model teachers' extrinsic motivation (i.e. perceived usefulness), confirmation of pre-acceptance expectations and intrinsic…

Relations of Cognitive and Motivational Variables with Students' Human Circulatory System Achievement in Traditional and Learning Cycle Classrooms

ERIC Educational Resources Information Center

Sadi, Özlem; Çakiroglu, Jale

2014-01-01

This study is aimed at investigating the relationships among students' relevant prior knowledge, meaningful learning orientation, reasoning ability, self-efficacy, locus of control, attitudes toward biology and achievement with the human circulatory system (HCS) using the learning cycle (LC) and the traditional classroom setting. The study was…

Web Image Retrieval Using Self-Organizing Feature Map.

ERIC Educational Resources Information Center

Wu, Qishi; Iyengar, S. Sitharama; Zhu, Mengxia

2001-01-01

Provides an overview of current image retrieval systems. Describes the architecture of the SOFM (Self Organizing Feature Maps) based image retrieval system, discussing the system architecture and features. Introduces the Kohonen model, and describes the implementation details of SOFM computation and its learning algorithm. Presents a test example…

Sexual Learning, Sexual Experience, and Healthy Adolescent Sex

ERIC Educational Resources Information Center

Fortenberry, J. Dennis

2014-01-01

This chapter is organized around the question "How do adolescents learn to have healthy sex?" The chapter assumes that sexual learning derives from a broad range of both informal and formal sources that contribute to learning within the context of neurocognitive brain systems that modulate sexual motivations and self-regulation. The…

A global bioheat model with self-tuning optimal regulation of body temperature using Hebbian feedback covariance learning.

PubMed

Ong, M L; Ng, E Y K

2005-12-01

In the lower brain, body temperature is continually being regulated almost flawlessly despite huge fluctuations in ambient and physiological conditions that constantly threaten the well-being of the body. The underlying control problem defining thermal homeostasis is one of great enormity: Many systems and sub-systems are involved in temperature regulation and physiological processes are intrinsically complex and intertwined. Thus the defining control system has to take into account the complications of nonlinearities, system uncertainties, delayed feedback loops as well as internal and external disturbances. In this paper, we propose a self-tuning adaptive thermal controller based upon Hebbian feedback covariance learning where the system is to be regulated continually to best suit its environment. This hypothesis is supported in part by postulations of the presence of adaptive optimization behavior in biological systems of certain organisms which face limited resources vital for survival. We demonstrate the use of Hebbian feedback covariance learning as a possible self-adaptive controller in body temperature regulation. The model postulates an important role of Hebbian covariance adaptation as a means of reinforcement learning in the thermal controller. The passive system is based on a simplified 2-node core and shell representation of the body, where global responses are captured. Model predictions are consistent with observed thermoregulatory responses to conditions of exercise and rest, and heat and cold stress. An important implication of the model is that optimal physiological behaviors arising from self-tuning adaptive regulation in the thermal controller may be responsible for the departure from homeostasis in abnormal states, e.g., fever. This was previously unexplained using the conventional "set-point" control theory.

Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned

PubMed Central

Savel, Craig; Mierzwa, Stan; Gorbach, Pamina M.; Souidi, Samir; Lally, Michelle; Zimet, Gregory; Interventions, AIDS

2016-01-01

This paper reports on a specific Web-based self-report data collection system that was developed for a public health research study in the United States. Our focus is on technical outcome results and lessons learned that may be useful to other projects requiring such a solution. The system was accessible from any device that had a browser that supported HTML5. Report findings include: which hardware devices, Web browsers, and operating systems were used; the rate of survey completion; and key considerations for employing Web-based surveys in a clinical trial setting. PMID:28149445

Some problems with the design of self-learning management systems

NASA Technical Reports Server (NTRS)

Flikop, Ziny

1992-01-01

In this paper some problems in the design of management systems for complex objects are discussed. Considering the absence of adequate models and the fact that human expertise in the management of non-stationary objects becomes obsolete quickly, the use of self-learning together with a two-step optimization of on-line control rules is suggested. To prepare for the object analysis, a set of definitions has been proposed. Traditional and fuzzy sets approaches are used in the analysis. To decrease the reaction time of the control system, we propose the development of control rules without feedback.

Towards Optimal Education Including Self-Regulated Learning in Technology-Enhanced Preschools and Primary Schools

ERIC Educational Resources Information Center

Mooij, Ton; Dijkstra, Elma M.; Walraven, Amber; Kirschner, Paul A.

2014-01-01

At the start of preschool, four-year-old pupils differ in their development, including in their capacity to self-regulate their playing and learning. In preschool and primary school, educational processes are generally adapted to the mean age of the pupils in the class. The same may apply to pupil-monitoring systems based on information and…

Help Helps, but Only so Much: Research on Help Seeking with Intelligent Tutoring Systems

ERIC Educational Resources Information Center

Aleven, Vincent; Roll, Ido; McLaren, Bruce M.; Koedinger, Kenneth R.

2016-01-01

Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's request. The Help Tutor was a tutor agent that gave in-context, real-time feedback on students' help-seeking behavior, as they were learning with an ITS.…

I Can Make a Scientific Research: A Course about Scientific Research Methods, in Which Learning Management System (LMS) Is Used

ERIC Educational Resources Information Center

Özden, Bülent

2016-01-01

The purpose of this study was to determine the changes in the perception of teacher candidates towards scientific research process and their self-efficacy in this process, during Scientific Research Methods course that has been conducted using "Learning Management System" based on out-of-class learning activities. Being designed as a…

Individualized Teaching and Autonomous Learning: Developing EFL Learners' CLA in a Web-Based Language Skills Training System

ERIC Educational Resources Information Center

Lu, Zhihong; Wen, Fuan; Li, Ping

2012-01-01

Teaching listening and speaking in English in China has been given top priority on the post-secondary level. This has lead to the question of how learners develop communicative language ability (CLA) effectively in computer-assisted language learning (CALL) environments. The authors demonstrate a self-developed language skill learning system with…

The Conduct System and Its Infuence on Student Learning

ERIC Educational Resources Information Center

Stimpson, Matthew T.; Janosik, Steven M.

2015-01-01

In this study, 7 items were used to define a composite variable that measures the perceived effectiveness of student conduct systems. Multivariate Analysis of Variance (MANOVA) was used to test the relationship between perceived level of system effectiveness and self-reported student learning. In the analyses, 49% of the variance in reported…

Asynchronous interaction, online technologies self-efficacy and self-regulated learning as predictors of academic achievement in an online class

NASA Astrophysics Data System (ADS)

McGhee, Rosie M. Hector

This research is a correlational study of the relationship among the independent variables: asynchronous interaction, online technologies self-efficacy, and self-regulated learning, and the dependent variable; academic achievement. This study involves an online computer literacy course at a local community college. Very little research exists on the relationship among asynchronous interaction, online technologies self-efficacy and self-regulated learning on predicting academic achievement in an online class. Liu (2008), in his study on student interaction in online courses, concluded that student interaction is a complex issue that needs more research to increase our understanding as it relates to distance education. The purpose of this study was to examine the relationships between asynchronous interaction, online technologies self-efficacy, self-regulated learning and academic achievement in an online computer literacy class at a community college. The researcher used quantitative methods to obtain and analyze data on the relationships among the variables during the summer 2010 semester. Forty-five community college students completed three web-based self-reporting instruments: (a) the GVU 10th WWW User Survey Questionnaire, (b) the Online Technologies Self-Efficacy Survey, and (c) selected items from the Motivated Strategies for Learning Questionnaire. Additional data was obtained from asynchronous discussions posted on Blackboard(TM) Learning Management System. The results of this study found that there were statistically significant relationships between asynchronous interaction and academic achievement (r = .55, p < .05) and between online technologies self-efficacy and academic achievement (r = .50, p < .05). However, there were low correlations between self-regulated learning and academic achievement ( r = -.02, p < .05). The results of this study reflect the constructivist tenants that the student is at the center of the learning experience. Driscoll (2005) said constructivist pedagogy sees the learner as an active participant in their learning experience rather than a passive vessel to be filled with information. This study is beneficial to theorists, administrators, leaders, online instructors, online course designers, faculty, students and others who are concerned about predictors for online students' success. Also, it serves as a foundation for future research and provides valuable information for educators interested in taking online teaching and learning to the next level.

The Impact of Transactive Memory System and Interaction Platform in Collaborative Knowledge Construction on Social Presence and Self-Regulation

ERIC Educational Resources Information Center

Yilmaz, Ramazan; Karaoglan Yilmaz, Fatma Gizem; Kilic Cakmak, Ebru

2017-01-01

The purpose of this study is to examine the impacts of transactive memory system (TMS) and interaction platforms in computer-supported collaborative learning (CSCL) on social presence perceptions and self-regulation skills of learners. Within the scope of the study, social presence perceptions and self-regulation skills of students in…

Development of a Peer-Assisted Learning Strategy in Computer-Supported Collaborative Learning Environments for Elementary School Students

ERIC Educational Resources Information Center

Tsuei, Mengping

2011-01-01

This study explores the effects of Electronic Peer-Assisted Learning for Kids (EPK), on the quality and development of reading skills, peer interaction and self-concept in elementary students. The EPK methodology uses a well-developed, synchronous computer-supported, collaborative learning system to facilitate students' learning in Chinese. We…

Self-Efficacy and Self-Esteem in Gifted and Non-Gifted Students in the Elementary School System

ERIC Educational Resources Information Center

Edins, Cynthia A.

2009-01-01

According to the social-cognitive theory, students increase or decrease their self-efficacy and self-esteem based on previous performance, comparison with peers, and feedback from their learning environment. Similar studies have looked at self-efficacy and/or self-esteem; for example, a study was done at the University of Georgia in which they…

A Web-Based Self-Testing System with Some Features of Web 2.0: Design and Primary Implementation

ERIC Educational Resources Information Center

Liu, Xiaolei; Liu, Haitao; Bao, Zhen; Ju, Bo; Wang, Zhenghong

2010-01-01

Self-testing is a means to check learning effect. Besides time-space restriction, there are many deficiencies in traditional offline self-testing. With the development of information technology, learners can have self-testing on the Internet. Self-testing on Internet, namely, web-based self-testing, overcomes time-space limitation of traditional…

Developmental Approach for Behavior Learning Using Primitive Motion Skills.

PubMed

Dawood, Farhan; Loo, Chu Kiong

2018-05-01

Imitation learning through self-exploration is essential in developing sensorimotor skills. Most developmental theories emphasize that social interactions, especially understanding of observed actions, could be first achieved through imitation, yet the discussion on the origin of primitive imitative abilities is often neglected, referring instead to the possibility of its innateness. This paper presents a developmental model of imitation learning based on the hypothesis that humanoid robot acquires imitative abilities as induced by sensorimotor associative learning through self-exploration. In designing such learning system, several key issues will be addressed: automatic segmentation of the observed actions into motion primitives using raw images acquired from the camera without requiring any kinematic model; incremental learning of spatio-temporal motion sequences to dynamically generates a topological structure in a self-stabilizing manner; organization of the learned data for easy and efficient retrieval using a dynamic associative memory; and utilizing segmented motion primitives to generate complex behavior by the combining these motion primitives. In our experiment, the self-posture is acquired through observing the image of its own body posture while performing the action in front of a mirror through body babbling. The complete architecture was evaluated by simulation and real robot experiments performed on DARwIn-OP humanoid robot.

Computational modeling of neural plasticity for self-organization of neural networks.

PubMed

Chrol-Cannon, Joseph; Jin, Yaochu

2014-11-01

Self-organization in biological nervous systems during the lifetime is known to largely occur through a process of plasticity that is dependent upon the spike-timing activity in connected neurons. In the field of computational neuroscience, much effort has been dedicated to building up computational models of neural plasticity to replicate experimental data. Most recently, increasing attention has been paid to understanding the role of neural plasticity in functional and structural neural self-organization, as well as its influence on the learning performance of neural networks for accomplishing machine learning tasks such as classification and regression. Although many ideas and hypothesis have been suggested, the relationship between the structure, dynamics and learning performance of neural networks remains elusive. The purpose of this article is to review the most important computational models for neural plasticity and discuss various ideas about neural plasticity's role. Finally, we suggest a few promising research directions, in particular those along the line that combines findings in computational neuroscience and systems biology, and their synergetic roles in understanding learning, memory and cognition, thereby bridging the gap between computational neuroscience, systems biology and computational intelligence. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Medical student use of digital learning resources.

PubMed

Scott, Karen; Morris, Anne; Marais, Ben

2018-02-01

University students expect to use technology as part of their studies, yet health professional teachers can struggle with the change in student learning habits fuelled by technology. Our research aimed to document the learning habits of contemporary medical students during a clinical rotation by exploring the use of locally and externally developed digital and print self-directed learning resources, and study groups. We investigated the learning habits of final-stage medical students during their clinical paediatric rotation using mixed methods, involving learning analytics and a student questionnaire. Learning analytics tracked aggregate student usage statistics of locally produced e-learning resources on two learning management systems and mobile learning resources. The questionnaire recorded student-reported use of digital and print learning resources and study groups. The students made extensive use of digital self-directed learning resources, especially in the 2 weeks before the examination, which peaked the day before the written examination. All students used locally produced digital formative assessment, and most (74/98; 76%) also used digital resources developed by other institutions. Most reported finding locally produced e-learning resources beneficial for learning. In terms of traditional forms of self-directed learning, one-third (28/94; 30%) indicated that they never read the course textbook, and few students used face-to-face 39/98 (40%) or online 6/98 (6%) study groups. Learning analytics and student questionnaire data confirmed the extensive use of digital resources for self-directed learning. Through clarification of learning habits and experiences, we think teachers can help students to optimise effective learning strategies; however, the impact of contemporary learning habits on learning efficacy requires further evaluation. Health professional teachers can struggle with the change in student learning habits fuelled by technology. © 2017 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Web-based continuing medical education. (II): Evaluation study of computer-mediated continuing medical education.

PubMed

Curran, V R; Hoekman, T; Gulliver, W; Landells, I; Hatcher, L

2000-01-01

Over the years, various distance learning technologies and methods have been applied to the continuing medical education needs of rural and remote physicians. They have included audio teleconferencing, slow scan imaging, correspondence study, and compressed videoconferencing. The recent emergence and growth of Internet, World Wide Web (Web), and compact disk read-only-memory (CD-ROM) technologies have introduced new opportunities for providing continuing education to the rural medical practitioner. This evaluation study assessed the instructional effectiveness of a hybrid computer-mediated courseware delivery system on dermatologic office procedures. A hybrid delivery system merges Web documents, multimedia, computer-mediated communications, and CD-ROMs to enable self-paced instruction and collaborative learning. Using a modified pretest to post-test control group study design, several evaluative criteria (participant reaction, learning achievement, self-reported performance change, and instructional transactions) were assessed by various qualitative and quantitative data collection methods. This evaluation revealed that a hybrid computer-mediated courseware system was an effective means for increasing knowledge (p < .05) and improving self-reported competency (p < .05) in dermatologic office procedures, and that participants were very satisfied with the self-paced instruction and use of asynchronous computer conferencing for collaborative information sharing among colleagues.

Self-learning Monte Carlo method

DOE PAGES

Liu, Junwei; Qi, Yang; Meng, Zi Yang; ...

2017-01-04

Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of a general and efficient update algorithm for large size systems close to the phase transition, for which local updates perform badly. In this Rapid Communication, we propose a general-purpose Monte Carlo method, dubbed self-learning Monte Carlo (SLMC), in which an efficient update algorithm is first learned from the training data generated in trial simulations and then used to speed up the actual simulation. Lastly, we demonstrate the efficiency of SLMC in a spin model at the phasemore » transition point, achieving a 10–20 times speedup.« less

An effective CPR home learning system. A program evaluation.

PubMed

Starr, L M

1998-06-01

1. Program evaluation using a self instruction CPR home learning system indicated that people could learn CPR without attending a formal class. Reported training time for adult CPR averaged 1 hour, and ease of understanding was rated 4.9 on a 5 point scale. 2. Use of a home learning system can benefit a workplace by reducing reliance on a CPR instructor, reducing total training time, and exposing families and others in the community to the learning experience. 3. This program evaluation suggests that this training methodology supports the mission of AHA, and also can meet corporate objectives.

Self-organizing maps for learning the edit costs in graph matching.

PubMed

Neuhaus, Michel; Bunke, Horst

2005-06-01

Although graph matching and graph edit distance computation have become areas of intensive research recently, the automatic inference of the cost of edit operations has remained an open problem. In the present paper, we address the issue of learning graph edit distance cost functions for numerically labeled graphs from a corpus of sample graphs. We propose a system of self-organizing maps (SOMs) that represent the distance measuring spaces of node and edge labels. Our learning process is based on the concept of self-organization. It adapts the edit costs in such a way that the similarity of graphs from the same class is increased, whereas the similarity of graphs from different classes decreases. The learning procedure is demonstrated on two different applications involving line drawing graphs and graphs representing diatoms, respectively.

A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning.

PubMed

Tan, Javan; Quek, Chai

2010-06-01

Self-organizing neurofuzzy approaches have matured in their online learning of fuzzy-associative structures under time-invariant conditions. To maximize their operative value for online reasoning, these self-sustaining mechanisms must also be able to reorganize fuzzy-associative knowledge in real-time dynamic environments. Hence, it is critical to recognize that they would require self-reorganizational skills to rebuild fluid associative structures when their existing organizations fail to respond well to changing circumstances. In this light, while Hebbian theory (Hebb, 1949) is the basic computational framework for associative learning, it is less attractive for time-variant online learning because it suffers from stability limitations that impedes unlearning. Instead, this paper adopts the Bienenstock-Cooper-Munro (BCM) theory of neurological learning via meta-plasticity principles (Bienenstock et al., 1982) that provides for both online associative and dissociative learning. For almost three decades, BCM theory has been shown to effectively brace physiological evidence of synaptic potentiation (association) and depression (dissociation) into a sound mathematical framework for computational learning. This paper proposes an interpretation of the BCM theory of meta-plasticity for an online self-reorganizing fuzzy-associative learning system to realize online-reasoning capabilities. Experimental findings are twofold: 1) the analysis using S&P-500 stock index illustrated that the self-reorganizing approach could follow the trajectory shifts in the time-variant S&P-500 index for about 60 years, and 2) the benchmark profiles showed that the fuzzy-associative approach yielded comparable results with other fuzzy-precision models with similar online objectives.

Supporting Self-Regulated Personalised Learning through Competence-Based Knowledge Space Theory

ERIC Educational Resources Information Center

Steiner, Christina M.; Nussbaumer, Alexander; Albert, Dietrich

2009-01-01

This article presents two current research trends in e-learning that at first sight appear to compete. Competence-Based Knowledge Space Theory (CBKST) provides a knowledge representation framework which, since its invention by Doignon & Falmagne, has been successfully applied in various e-learning systems (for example, Adaptive Learning with…

Fuzzy self-learning control for magnetic servo system

NASA Technical Reports Server (NTRS)

Tarn, J. H.; Kuo, L. T.; Juang, K. Y.; Lin, C. E.

1994-01-01

It is known that an effective control system is the key condition for successful implementation of high-performance magnetic servo systems. Major issues to design such control systems are nonlinearity; unmodeled dynamics, such as secondary effects for copper resistance, stray fields, and saturation; and that disturbance rejection for the load effect reacts directly on the servo system without transmission elements. One typical approach to design control systems under these conditions is a special type of nonlinear feedback called gain scheduling. It accommodates linear regulators whose parameters are changed as a function of operating conditions in a preprogrammed way. In this paper, an on-line learning fuzzy control strategy is proposed. To inherit the wealth of linear control design, the relations between linear feedback and fuzzy logic controllers have been established. The exercise of engineering axioms of linear control design is thus transformed into tuning of appropriate fuzzy parameters. Furthermore, fuzzy logic control brings the domain of candidate control laws from linear into nonlinear, and brings new prospects into design of the local controllers. On the other hand, a self-learning scheme is utilized to automatically tune the fuzzy rule base. It is based on network learning infrastructure; statistical approximation to assign credit; animal learning method to update the reinforcement map with a fast learning rate; and temporal difference predictive scheme to optimize the control laws. Different from supervised and statistical unsupervised learning schemes, the proposed method learns on-line from past experience and information from the process and forms a rule base of an FLC system from randomly assigned initial control rules.

The Role of Perceived User-Interface Design in Continued Usage Intention of Self-Paced E-Learning Tools

ERIC Educational Resources Information Center

Cho, Vincent; Cheng, T. C. Edwin; Lai, W. M. Jennifer

2009-01-01

While past studies on user-interface design focused on a particular system or application using the experimental approach, we propose a theoretical model to assess the impact of perceived user-interface design (PUID) on continued usage intention (CUI) of self-paced e-learning tools in general. We argue that the impact of PUID is mediated by two…

Babies' Self-Regulation: Taking a Broad Perspective

ERIC Educational Resources Information Center

Elliot, Enid; Gonzalez-Mena, Janet

2011-01-01

Self-regulation is a complex process that involves coordinating various systems of the body and mind, including feelings. It's not only about emotions but also about cognition. Self-regulation has an impact on social development, influencing how babies and toddlers get along with others. Through self-regulation, babies and toddlers learn to pay…

Building an Online Learning Community

ERIC Educational Resources Information Center

Chen, Yu-Chein

2004-01-01

The Internet was not invented for education at beginning (Pett Grabinger, 1995), but it has influenced educational systems considerably, especially by providing another way for distance learning. This powerful communication function is superior to any other educational media. Students can conduct their own self-directed learning without…

Student perceptions and effectiveness of an innovative learning tool: Anatomy Glove Learning System.

PubMed

Lisk, Kristina; McKee, Pat; Baskwill, Amanda; Agur, Anne M R

2015-01-01

A trend in anatomical education is the development of alternative pedagogical approaches to replace or complement experiences in a cadaver laboratory; however, empirical evidence on their effectiveness is often not reported. This study aimed to evaluate the effectiveness of Anatomy Glove Learning System (AGLS), which enables students to learn the relationship between hand structure and function by drawing the structures onto a worn glove with imprinted bones. Massage therapy students (n = 73) were allocated into two groups and drew muscles onto either: (1) the glove using AGLS instructional videos (3D group); or (2) paper with palmar/dorsal views of hand bones during an instructor-guided activity (2D group). A self-confidence measure and knowledge test were completed before, immediately after, and one-week following the learning conditions. Self-confidence of hand anatomy in the 3D group gradually increased (3.2/10, 4.7/10, and 4.8/10), whereas self-confidence in the 2D group began to decline one-week later (3.2/10, 4.4/10, and 3.9/10). Knowledge of hand anatomy improved in both groups immediately after learning, (P < 0.001). Students' perceptions of AGLS were also assessed using a 10-pt Likert scale evaluation questionnaire (10 = high). Students perceived the AGLS videos (mean = 8.3 ± 2.0) and glove (mean = 8.1 ± 1.8) to be helpful in improving their understanding of hand anatomy and the majority of students preferred AGLS as a learning tool (mean = 8.6 ± 2.2). This study provides evidence demonstrating that AGLS and the traditional 2D learning approach are equally effective in promoting students' self-confidence and knowledge of hand anatomy. © 2014 American Association of Anatomists.

Styles of Self-Regulation of Learning Activities of University Students

ERIC Educational Resources Information Center

Khusainova, Rezeda M.; Ivutina, Helena P.

2016-01-01

The relevance of the study is largely due to changes in the country's education system in recent years, in particular--the transition to a two-tier system of education--undergraduate and graduate--the purpose of which is to improve learning efficiency. One feature of this system is to strengthen the role of independent educational activity of…

Self-Regulated Learning Substudy: Systems Thinking and Curriculum Innovation (STACI) Project.

ERIC Educational Resources Information Center

Mandinach, Ellen B.

The Systems Thinking and Curriculum Innovation (STACI) Project is a multi-year research effort intended to examine the cognitive demands and consequences of learning from a systems thinking approach to instruction and from using simulation-modeling software. The purpose of the study is to test the potentials and effects of integrating the systems…

Integrating Group-Self Evaluation in Open and Distance Learning System

ERIC Educational Resources Information Center

Osuji, U. S. Ajunwa

2010-01-01

Every instructional process involves a strategic assessment system for a complete teaching leaning circle. Any assessment system which is seriously flawed, should call for a change, a rethink or a repackaging for sustainability, and to be a part of teaching and learning. Assessment should be meaningful to both the assessors and the assessees. The…

Learning with Interactive Computer Graphics in the Undergraduate Neuroscience Classroom

ERIC Educational Resources Information Center

Pani, John R.; Chariker, Julia H.; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E.

2014-01-01

Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…

The effect of discovery learning and problem-based learning on middle school students’ self-regulated learning

NASA Astrophysics Data System (ADS)

Miatun, A.; Muntazhimah

2018-01-01

The aim of this research was to determine the effect of learning models on mathematics achievement viewed from student’s self-regulated learning. The learning model compared were discovery learning and problem-based learning. The population was all students at the grade VIII of Junior High School in Boyolali regency. The samples were students of SMPN 4 Boyolali, SMPN 6 Boyolali, and SMPN 4 Mojosongo. The instruments used were mathematics achievement tests and self-regulated learning questionnaire. The data were analyzed using unbalanced two-ways Anova. The conclusion was as follows: (1) discovery learning gives better achievement than problem-based learning. (2) Achievement of students who have high self-regulated learning was better than students who have medium and low self-regulated learning. (3) For discovery learning, achievement of students who have high self-regulated learning was better than students who have medium and low self-regulated learning. For problem-based learning, students who have high and medium self-regulated learning have the same achievement. (4) For students who have high self-regulated learning, discovery learning gives better achievement than problem-based learning. Students who have medium and low self-regulated learning, both learning models give the same achievement.

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure

PubMed Central

Fernandez-Rio, Javier; Cecchini, Jose A.; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A.

2017-01-01

Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12–17 years old (M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ-means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students’ academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and shared. Educators should be aware of these interactions, symmetrical or asymmetrical, because they determine the quality and quantity of the students’ participation and achievements, and they are key elements to prevent school failure. PMID:28154544

Self-Regulation, Cooperative Learning, and Academic Self-Efficacy: Interactions to Prevent School Failure.

PubMed

Fernandez-Rio, Javier; Cecchini, Jose A; Méndez-Gimenez, Antonio; Mendez-Alonso, David; Prieto, Jose A

2017-01-01

Learning to learn and learning to cooperate are two important goals for individuals. Moreover, self regulation has been identified as fundamental to prevent school failure. The goal of the present study was to assess the interactions between self-regulated learning, cooperative learning and academic self-efficacy in secondary education students experiencing cooperative learning as the main pedagogical approach for at least one school year. 2.513 secondary education students (1.308 males, 1.205 females), 12-17 years old ( M = 13.85, SD = 1.29), enrolled in 17 different schools belonging to the National Network of Schools on Cooperative Learning in Spain agreed to participate. They all had experienced this pedagogical approach a minimum of one school year. Participants were asked to complete the cooperative learning questionnaire, the strategies to control the study questionnaire and the global academic self-efficacy questionnaire. Participants were grouped based on their perceptions on cooperative learning and self-regulated learning in their classes. A combination of hierarchical and κ -means cluster analyses was used. Results revealed a four-cluster solution: cluster one included students with low levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster two included students with high levels of cooperative learning, self-regulated learning and academic self-efficacy, cluster three included students with high levels of cooperative learning, low levels of self-regulated learning and intermediate-low levels of academic self-efficacy, and, finally, cluster four included students with high levels of self-regulated learning, low levels of cooperative learning, and intermediate-high levels of academic self-efficacy. Self-regulated learning was found more influential than cooperative learning on students' academic self-efficacy. In cooperative learning contexts students interact through different types of regulations: self, co, and shared. Educators should be aware of these interactions, symmetrical or asymmetrical, because they determine the quality and quantity of the students' participation and achievements, and they are key elements to prevent school failure.

The Systems Engineering Approach to Mechanical Failure Prevention. Proceedings of the Meeting of the Mechanical Failures Prevention Group (47th) Held in Virginia Beach, Virginia on April 13-15, 1993.

DTIC Science & Technology

1993-04-15

Czyryca from the Naval Surface Warfare Center gave a Plenary Aodress on Lessons Learned in Metallurgical Failure Analyses of Naval Machinery. The...processing methods take many years to implement, because of the large capital investments and the learning process involved, we feel confident that they will...signals experienced by the self. Filters are an indistinguishable part of the self. As we learn about the causes of our failures, and see that we can

The Study and Design of Adaptive Learning System Based on Fuzzy Set Theory

NASA Astrophysics Data System (ADS)

Jia, Bing; Zhong, Shaochun; Zheng, Tianyang; Liu, Zhiyong

Adaptive learning is an effective way to improve the learning outcomes, that is, the selection of learning content and presentation should be adapted to each learner's learning context, learning levels and learning ability. Adaptive Learning System (ALS) can provide effective support for adaptive learning. This paper proposes a new ALS based on fuzzy set theory. It can effectively estimate the learner's knowledge level by test according to learner's target. Then take the factors of learner's cognitive ability and preference into consideration to achieve self-organization and push plan of knowledge. This paper focuses on the design and implementation of domain model and user model in ALS. Experiments confirmed that the system providing adaptive content can effectively help learners to memory the content and improve their comprehension.

Learning collaborative teamwork: an argument for incorporating the humanities.

PubMed

Hall, Pippa; Brajtman, Susan; Weaver, Lynda; Grassau, Pamela Anne; Varpio, Lara

2014-11-01

A holistic, collaborative interprofessional team approach, which includes patients and families as significant decision-making members, has been proposed to address the increasing burden being placed on the health-care system. This project hypothesized that learning activities related to the humanities during clinical placements could enhance interprofessional teamwork. Through an interprofessional team of faculty, clinical staff, students, and patient representatives, we developed and piloted the self-learning module, "interprofessional education for collaborative person-centred practice through the humanities". The module was designed to provide learners from different professions and educational levels with a clinical placement/residency experience that would enable them, through a lens of the humanities, to better understand interprofessional collaborative person-centred care without structured interprofessional placement activities. Learners reported the self-paced and self-directed module to be a satisfactory learning experience in all four areas of care at our institution, and certain attitudes and knowledge were significantly and positively affected. The module's evaluation resulted in a revised edition providing improved structure and instruction for students with no experience in self-directed learning. The module was recently adapted into an interactive bilingual (French and English) online e-learning module to facilitate its integration into the pre-licensure curriculum at colleges and universities.

View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid

PubMed Central

Dawood, Farhan; Loo, Chu Kiong

2016-01-01

Mirror neurons are visuo-motor neurons found in primates and thought to be significant for imitation learning. The proposition that mirror neurons result from associative learning while the neonate observes his own actions has received noteworthy empirical support. Self-exploration is regarded as a procedure by which infants become perceptually observant to their own body and engage in a perceptual communication with themselves. We assume that crude sense of self is the prerequisite for social interaction. However, the contribution of mirror neurons in encoding the perspective from which the motor acts of others are seen have not been addressed in relation to humanoid robots. In this paper we present a computational model for development of mirror neuron system for humanoid based on the hypothesis that infants acquire MNS by sensorimotor associative learning through self-exploration capable of sustaining early imitation skills. The purpose of our proposed model is to take into account the view-dependency of neurons as a probable outcome of the associative connectivity between motor and visual information. In our experiment, a humanoid robot stands in front of a mirror (represented through self-image using camera) in order to obtain the associative relationship between his own motor generated actions and his own visual body-image. In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. Afterwards, the representation of the motor commands is learned to be associated with all possible visual perspectives. The complete architecture was evaluated by simulation experiments performed on DARwIn-OP humanoid robot. PMID:26998923

View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid.

PubMed

Dawood, Farhan; Loo, Chu Kiong

2016-01-01

Mirror neurons are visuo-motor neurons found in primates and thought to be significant for imitation learning. The proposition that mirror neurons result from associative learning while the neonate observes his own actions has received noteworthy empirical support. Self-exploration is regarded as a procedure by which infants become perceptually observant to their own body and engage in a perceptual communication with themselves. We assume that crude sense of self is the prerequisite for social interaction. However, the contribution of mirror neurons in encoding the perspective from which the motor acts of others are seen have not been addressed in relation to humanoid robots. In this paper we present a computational model for development of mirror neuron system for humanoid based on the hypothesis that infants acquire MNS by sensorimotor associative learning through self-exploration capable of sustaining early imitation skills. The purpose of our proposed model is to take into account the view-dependency of neurons as a probable outcome of the associative connectivity between motor and visual information. In our experiment, a humanoid robot stands in front of a mirror (represented through self-image using camera) in order to obtain the associative relationship between his own motor generated actions and his own visual body-image. In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. Afterwards, the representation of the motor commands is learned to be associated with all possible visual perspectives. The complete architecture was evaluated by simulation experiments performed on DARwIn-OP humanoid robot.

Communications and control for electric power systems: Power flow classification for static security assessment

NASA Technical Reports Server (NTRS)

Niebur, D.; Germond, A.

1993-01-01

This report investigates the classification of power system states using an artificial neural network model, Kohonen's self-organizing feature map. The ultimate goal of this classification is to assess power system static security in real-time. Kohonen's self-organizing feature map is an unsupervised neural network which maps N-dimensional input vectors to an array of M neurons. After learning, the synaptic weight vectors exhibit a topological organization which represents the relationship between the vectors of the training set. This learning is unsupervised, which means that the number and size of the classes are not specified beforehand. In the application developed in this report, the input vectors used as the training set are generated by off-line load-flow simulations. The learning algorithm and the results of the organization are discussed.

Self-Organized Behavior Generation for Musculoskeletal Robots.

PubMed

Der, Ralf; Martius, Georg

2017-01-01

With the accelerated development of robot technologies, control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of specific objectives for the task at hand. While very successful in many applications, self-organized control schemes seem to be favored in large complex systems with unknown dynamics or which are difficult to model. Reasons are the expected scalability, robustness, and resilience of self-organizing systems. The paper presents a self-learning neurocontroller based on extrinsic differential plasticity introduced recently, applying it to an anthropomorphic musculoskeletal robot arm with attached objects of unknown physical dynamics. The central finding of the paper is the following effect: by the mere feedback through the internal dynamics of the object, the robot is learning to relate each of the objects with a very specific sensorimotor pattern. Specifically, an attached pendulum pilots the arm into a circular motion, a half-filled bottle produces axis oriented shaking behavior, a wheel is getting rotated, and wiping patterns emerge automatically in a table-plus-brush setting. By these object-specific dynamical patterns, the robot may be said to recognize the object's identity, or in other words, it discovers dynamical affordances of objects. Furthermore, when including hand coordinates obtained from a camera, a dedicated hand-eye coordination self-organizes spontaneously. These phenomena are discussed from a specific dynamical system perspective. Central is the dedicated working regime at the border to instability with its potentially infinite reservoir of (limit cycle) attractors "waiting" to be excited. Besides converging toward one of these attractors, variate behavior is also arising from a self-induced attractor morphing driven by the learning rule. We claim that experimental investigations with this anthropomorphic, self-learning robot not only generate interesting and potentially useful behaviors, but may also help to better understand what subjective human muscle feelings are, how they can be rooted in sensorimotor patterns, and how these concepts may feed back on robotics.

Self-Organized Behavior Generation for Musculoskeletal Robots

PubMed Central

Der, Ralf; Martius, Georg

2017-01-01

With the accelerated development of robot technologies, control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of specific objectives for the task at hand. While very successful in many applications, self-organized control schemes seem to be favored in large complex systems with unknown dynamics or which are difficult to model. Reasons are the expected scalability, robustness, and resilience of self-organizing systems. The paper presents a self-learning neurocontroller based on extrinsic differential plasticity introduced recently, applying it to an anthropomorphic musculoskeletal robot arm with attached objects of unknown physical dynamics. The central finding of the paper is the following effect: by the mere feedback through the internal dynamics of the object, the robot is learning to relate each of the objects with a very specific sensorimotor pattern. Specifically, an attached pendulum pilots the arm into a circular motion, a half-filled bottle produces axis oriented shaking behavior, a wheel is getting rotated, and wiping patterns emerge automatically in a table-plus-brush setting. By these object-specific dynamical patterns, the robot may be said to recognize the object's identity, or in other words, it discovers dynamical affordances of objects. Furthermore, when including hand coordinates obtained from a camera, a dedicated hand-eye coordination self-organizes spontaneously. These phenomena are discussed from a specific dynamical system perspective. Central is the dedicated working regime at the border to instability with its potentially infinite reservoir of (limit cycle) attractors “waiting” to be excited. Besides converging toward one of these attractors, variate behavior is also arising from a self-induced attractor morphing driven by the learning rule. We claim that experimental investigations with this anthropomorphic, self-learning robot not only generate interesting and potentially useful behaviors, but may also help to better understand what subjective human muscle feelings are, how they can be rooted in sensorimotor patterns, and how these concepts may feed back on robotics. PMID:28360852

Learning by statistical cooperation of self-interested neuron-like computing elements.

PubMed

Barto, A G

1985-01-01

Since the usual approaches to cooperative computation in networks of neuron-like computating elements do not assume that network components have any "preferences", they do not make substantive contact with game theoretic concepts, despite their use of some of the same terminology. In the approach presented here, however, each network component, or adaptive element, is a self-interested agent that prefers some inputs over others and "works" toward obtaining the most highly preferred inputs. Here we describe an adaptive element that is robust enough to learn to cooperate with other elements like itself in order to further its self-interests. It is argued that some of the longstanding problems concerning adaptation and learning by networks might be solvable by this form of cooperativity, and computer simulation experiments are described that show how networks of self-interested components that are sufficiently robust can solve rather difficult learning problems. We then place the approach in its proper historical and theoretical perspective through comparison with a number of related algorithms. A secondary aim of this article is to suggest that beyond what is explicitly illustrated here, there is a wealth of ideas from game theory and allied disciplines such as mathematical economics that can be of use in thinking about cooperative computation in both nervous systems and man-made systems.

Academic self-handicapping: the role of self-concept clarity and students' learning strategies.

PubMed

Thomas, Cathy R; Gadbois, Shannon A

2007-03-01

Self-handicapping is linked to students' personal motivations, classroom goal structure, academic outcomes, global self-esteem and certainty of self-esteem. Academic self-handicapping has yet to be studied with respect to students' consistency in self-description and their description of themselves as learners. This study examined students' self-esteem and self-concept clarity as well as their tendencies to employ deep- or surface-learning approaches and self-regulate while learning in relation to their self-handicapping tendencies and exam performance. Participants were 161 male and female Canadian, first-year university students. Participants completed a series of questionnaires that measured their self-esteem, self-concept clarity, approaches to learning, self-regulation and reflections on performance prior to and following their exam. Self-handicapping was negatively correlated with self-concept clarity, deep learning, self-regulated learning and exam grades, and positively correlated with surface learning and test anxiety. Regression analyses showed that self-concept clarity, self-regulation, surface-learning and test anxiety scores predicted self-handicapping scores. Self-concept clarity, test anxiety scores, academic self-efficacy and self-regulation were predictors of mid-term exam grades. This study showed that students' self-concept clarity and learning strategies are related to their tendencies to self-handicap and their exam performance. The role of students' ways of learning and their self-concept clarity in self-handicapping and academic performance was explored.

Computer-assisted learning and simulation systems in dentistry--a challenge to society.

PubMed

Welk, A; Splieth, Ch; Wierinck, E; Gilpatrick, R O; Meyer, G

2006-07-01

Computer technology is increasingly used in practical training at universities. However, in spite of their potential, computer-assisted learning (CAL) and computer-assisted simulation (CAS) systems still appear to be underutilized in dental education. Advantages, challenges, problems, and solutions of computer-assisted learning and simulation in dentistry are discussed by means of MEDLINE, open Internet platform searches, and key results of a study among German dental schools. The advantages of computer-assisted learning are seen for example in self-paced and self-directed learning and increased motivation. It is useful for both objective theoretical and practical tests and for training students to handle complex cases. CAL can lead to more structured learning and can support training in evidence-based decision-making. The reasons for the still relatively rare implementation of CAL/CAS systems in dental education include an inability to finance, lack of studies of CAL/CAS, and too much effort required to integrate CAL/CAS systems into the curriculum. To overcome the reasons for the relative low degree of computer technology use, we should strive for multicenter research and development projects monitored by the appropriate national and international scientific societies, so that the potential of computer technology can be fully realized in graduate, postgraduate, and continuing dental education.

Re-Thinking Assessment: Self- and Peer-Assessment as Drivers of Self-Direction in Learning

ERIC Educational Resources Information Center

Harrison, Kathy; O'Hara, Joe; McNamara, Gerry

2015-01-01

Problem Statement: This paper focuses on assessment in Irish education, which, despite best intentions, shepherds students through the process to an extent that the individual is prone to undervalue her/his ability to trust in the self as a rational, self-thinking individual. In Ireland's assessment system lies the paradox whereby from childhood…

Personal Learning Environments (PLEs) in a Distance Learning Course on Mathematics Applied to Business

ERIC Educational Resources Information Center

Bidarra, Jose; Araujo, Joao

2013-01-01

This paper argues that the dominant form of distance learning that is common in most e-learning systems rests on a set of learning devices and environments that may be outdated from the student's perspective, namely because it is not supportive of learner empowerment and does not facilitate the efforts of self-directed learners. For this study we…

Early Foreign Language Learning: The Biological Perspective.

ERIC Educational Resources Information Center

Peltzer-Karpf, Annemarie

A discussion of the biological and developmental issues in early second language learning first looks at psycholinguistic research on brain growth patterns and the relationship of first and second language learning. Focus is on three phenomena observed in the self-organization of living systems: selection of input data; organization of specialized…

Using Activity Theory to Understand Learning Design Requirements of Patient Self-Management Environments

ERIC Educational Resources Information Center

Schaffer, Scott P.; Reyes, Lisette; Kim, Hannah; Collins, Bart

2010-01-01

Learning designs aimed at supporting transformational change could significantly benefit from the adoption of socio-historical and socio-cultural analysis approaches. Such systemic perspectives are gaining more importance in education as they facilitate understanding of complex interactions between learning environments and human activity. The…

The Occupational Versatility Program: Student-Directed Learning in Industrial Arts.

ERIC Educational Resources Information Center

Lavender, John

1978-01-01

Describes the Occupational Versatility program in industrial arts, involving a self-instructional school shop in which the learning system is student-managed, nongraded, upgraded, and team taught. This federally funded learning method has also been successfully applied to home economics and art education. Information sources for the teacher are…

A Self-Adaptive Multi-Agent System Approach for Collaborative Mobile Learning

ERIC Educational Resources Information Center

de la Iglesia, Didac Gil; Calderon, Juan Felipe; Weyns, Danny; Milrad, Marcelo; Nussbaum, Miguel

2015-01-01

Mobile technologies have emerged as facilitators in the learning process, extending traditional classroom activities. However, engineering mobile learning applications for outdoor usage poses severe challenges. The requirements of these applications are challenging, as many different aspects need to be catered, such as resource access and sharing,…

A novel collaborative e-learning platform for medical students - ALERT STUDENT

PubMed Central

2014-01-01

Background The increasing complexity of medical curricula would benefit from adaptive computer supported collaborative learning systems that support study management using instructional design and learning object principles. However, to our knowledge, there are scarce reports regarding applications developed to meet this goal and encompass the complete medical curriculum. The aim of ths study was to develop and assess the usability of an adaptive computer supported collaborative learning system for medical students to manage study sessions. Results A study platform named ALERT STUDENT was built as a free web application. Content chunks are represented as Flashcards that hold knowledge and open ended questions. These can be created in a collaborative fashion. Multiple Flashcards can be combined into custom stacks called Notebooks that can be accessed in study Groups that belong to the user institution. The system provides a Study Mode that features text markers, text notes, timers and color-coded content prioritization based on self-assessment of open ended questions presented in a Quiz Mode. Time spent studying and Perception of knowledge are displayed for each student and peers using charts. Computer supported collaborative learning is achieved by allowing for simultaneous creation of Notebooks and self-assessment questions by many users in a pre-defined Group. Past personal performance data is retrieved when studying new Notebooks containing previously studied Flashcards. Self-report surveys showed that students highly agreed that the system was useful and were willing to use it as a reference tool. Conclusions The platform employs various instructional design and learning object principles in a computer supported collaborative learning platform for medical students that allows for study management. The application broadens student insight over learning results and supports informed decisions based on past learning performance. It serves as a potential educational model for the medical education setting that has gathered strong positive feedback from students at our school. This platform provides a case study on how effective blending of instructional design and learning object principles can be brought together to manage study, and takes an important step towards bringing information management tools to support study decisions and improving learning outcomes. PMID:25017028

A novel collaborative e-learning platform for medical students - ALERT STUDENT.

PubMed

Taveira-Gomes, Tiago; Saffarzadeh, Areo; Severo, Milton; Guimarães, M Jorge; Ferreira, Maria Amélia

2014-07-14

The increasing complexity of medical curricula would benefit from adaptive computer supported collaborative learning systems that support study management using instructional design and learning object principles. However, to our knowledge, there are scarce reports regarding applications developed to meet this goal and encompass the complete medical curriculum. The aim of ths study was to develop and assess the usability of an adaptive computer supported collaborative learning system for medical students to manage study sessions. A study platform named ALERT STUDENT was built as a free web application. Content chunks are represented as Flashcards that hold knowledge and open ended questions. These can be created in a collaborative fashion. Multiple Flashcards can be combined into custom stacks called Notebooks that can be accessed in study Groups that belong to the user institution. The system provides a Study Mode that features text markers, text notes, timers and color-coded content prioritization based on self-assessment of open ended questions presented in a Quiz Mode. Time spent studying and Perception of knowledge are displayed for each student and peers using charts. Computer supported collaborative learning is achieved by allowing for simultaneous creation of Notebooks and self-assessment questions by many users in a pre-defined Group. Past personal performance data is retrieved when studying new Notebooks containing previously studied Flashcards. Self-report surveys showed that students highly agreed that the system was useful and were willing to use it as a reference tool. The platform employs various instructional design and learning object principles in a computer supported collaborative learning platform for medical students that allows for study management. The application broadens student insight over learning results and supports informed decisions based on past learning performance. It serves as a potential educational model for the medical education setting that has gathered strong positive feedback from students at our school.This platform provides a case study on how effective blending of instructional design and learning object principles can be brought together to manage study, and takes an important step towards bringing information management tools to support study decisions and improving learning outcomes.

The Self-Help Group Model: A Review

ERIC Educational Resources Information Center

Jaques, Marceline E.; Patterson, Kathleen M.

1974-01-01

Self-help mutual aid groups are organized by peers who share a common problem. Through group identification, mutual support, and modeling, behavior is directed toward learning a new coping life style. The self-help group model is considered here as a viable and necessary part of a total rehabilitation service system. (Author)

How Do Students Regulate their Learning of Complex Systems with Hypermedia?.

ERIC Educational Resources Information Center

Azevedo, Roger; Seibert, Diane; Guthrie, John T.; Cromley, Jennifer G.; Wang, Huei-yu; Tron, Myriam

This study examined the role of different goal-setting instructional interventions in facilitating students' shift to more sophisticated mental models of the circulatory system as indicated by both performance and process data. Researchers adopted the information processing model of self-regulated learning of P. Winne and colleagues (1998, 2001)…

The Impact of a Flexible Assessment System on Students' Motivation, Performance and Attitude

ERIC Educational Resources Information Center

Pacharn, Parunchana; Bay, Darlene; Felton, Sandra

2013-01-01

We examine a flexible assessment system that allows students to determine the weights allocated to each course component and to re-allocate the weights in response to achieved scores. The flexibility is intended to encourage students' participation in the learning process, thereby promoting self-regulated learning skills. We compare this…

Can a virtual reality surgical simulation training provide a self-driven and mentor-free skills learning? Investigation of the practical influence of the performance metrics from the virtual reality robotic surgery simulator on the skill learning and associated cognitive workloads.

PubMed

Lee, Gyusung I; Lee, Mija R

2018-01-01

While it is often claimed that virtual reality (VR) training system can offer self-directed and mentor-free skill learning using the system's performance metrics (PM), no studies have yet provided evidence-based confirmation. This experimental study investigated what extent to which trainees achieved their self-learning with a current VR simulator and whether additional mentoring improved skill learning, skill transfer and cognitive workloads in robotic surgery simulation training. Thirty-two surgical trainees were randomly assigned to either the Control-Group (CG) or Experiment-Group (EG). While the CG participants reviewed the PM at their discretion, the EG participants had explanations about PM and instructions on how to improve scores. Each subject completed a 5-week training using four simulation tasks. Pre- and post-training data were collected using both a simulator and robot. Peri-training data were collected after each session. Skill learning, time spent on PM (TPM), and cognitive workloads were compared between groups. After the simulation training, CG showed substantially lower simulation task scores (82.9 ± 6.0) compared with EG (93.2 ± 4.8). Both groups demonstrated improved physical model tasks performance with the actual robot, but the EG had a greater improvement in two tasks. The EG exhibited lower global mental workload/distress, higher engagement, and a better understanding regarding using PM to improve performance. The EG's TPM was initially long but substantially shortened as the group became familiar with PM. Our study demonstrated that the current VR simulator offered limited self-skill learning and additional mentoring still played an important role in improving the robotic surgery simulation training.

Eliminating Self-Defeating Behaviors System.

ERIC Educational Resources Information Center

Cerio, James E.; And Others

This book takes a cognitive-behavioral approach to help readers learn a strategy for eliminating their self-defeating behaviors. It allows readers to move logically through a complete system for eliminating such behaviors. Unit 1 presents an introduction to the book and explains how to use it. It is recommended that readers read the text and…

Coupled replicator equations for the dynamics of learning in multiagent systems

NASA Astrophysics Data System (ADS)

Sato, Yuzuru; Crutchfield, James P.

2003-01-01

Starting with a group of reinforcement-learning agents we derive coupled replicator equations that describe the dynamics of collective learning in multiagent systems. We show that, although agents model their environment in a self-interested way without sharing knowledge, a game dynamics emerges naturally through environment-mediated interactions. An application to rock-scissors-paper game interactions shows that the collective learning dynamics exhibits a diversity of competitive and cooperative behaviors. These include quasiperiodicity, stable limit cycles, intermittency, and deterministic chaos—behaviors that should be expected in heterogeneous multiagent systems described by the general replicator equations we derive.

Video feedforward for rapid learning of a picture-based communication system.

PubMed

Smith, Jemma; Hand, Linda; Dowrick, Peter W

2014-04-01

This study examined the efficacy of video self modeling (VSM) using feedforward, to teach various goals of a picture exchange communication system (PECS). The participants were two boys with autism and one man with Down syndrome. All three participants were non-verbal with no current functional system of communication; the two children had long histories of PECS failure. A series of replications, with different length baselines, was used to examine whether video self modeling could replace the PECS method of teaching to achieve the same goals. All three participants showed rapid learning of their target behavior when introduced to their self modeling videos, and effects generalized without the need for further intervention. We conclude that VSM, using feedforward, can provide a fast, simple way of teaching the use of a picture-based communication system without the need for prompts or intensive operant conditioning. VSM may provide an accessible, easy-to-use alternative to common methods of teaching augmentative and alternative communication systems.

Comparative study of a learning fuzzy PID controller and a self-tuning controller.

PubMed

Kazemian, H B

2001-01-01

The self-organising fuzzy controller is an extension of the rule-based fuzzy controller with an additional learning capability. The self-organising fuzzy (SOF) is used as a master controller to readjust conventional PID gains at the actuator level during the system operation, copying the experience of a human operator. The application of the self-organising fuzzy PID (SOF-PID) controller to a 2-link non-linear revolute-joint robot-arm is studied using path tracking trajectories at the setpoint. For the purpose of comparison, the same experiments are repeated by using the self-tuning controller subject to the same data supplied at the setpoint. For the path tracking experiments, the output trajectories of the SOF-PID controller followed the specified path closer and smoother than the self-tuning controller.

An intelligent computer tutor to guide self-explanation while learning from examples

NASA Astrophysics Data System (ADS)

Conati, Cristina

1999-11-01

Many studies in cognitive science show that self-explanation---the process of clarifying and making more complete to oneself the solution of an example---improves learning, and that guiding self-explanation extends these benefits. This thesis presents an intelligent computer tutor that aims to improve learning from examples by supporting self-explanation. The tutor, known as the SE (self-explanation) Coach, is innovative in two ways. First, it represents the first attempt to develop a computer tutor that supports example studying instead of problem solving. Second, it explicitly guides a domain-general, meta-cognitive skill: self-explanation. The SE-Coach is part of the Andes tutoring system for college physics and is meant to be used in conjunction with the problem solving tasks that Andes supports. In order to maximize the system capability to trigger the same beneficial cognitive processes, every element of the SE-Coach embeds existing hypotheses about the features that make self-explanation effective for learning. Designing the SE-Coach involved finding solutions for three main challenges: (1) To design an interface that effectively monitors and supports self-explanation. (2) To devise a student model that allows the assessment of example understanding from reading and self-examination actions. (3) To effectively elicit further self-explanation that improves student's example understanding. In this work we present our solutions to these challenges: (1) An interface including principled, interactive tools to explore examples and build self-explanations under the SECoach's supervision. (2) A probabilistic student model based on a Bayesian network, which integrates a model of correct self-explanation and information on the student's knowledge and studying actions to generate a probabilistic assessment of the student's example understanding. (3) Tutorial interventions that rely on the student model to detect deficits in the student's example understanding and elicit self-explanations that overcome them. In this thesis we also present the results of a formal study with 56 college students to evaluate the effectiveness of the SE-Coach. We discuss some hypotheses to explain the obtained results, based on the analysis of the data collected during the experiment.

Self-supervised learning as an enabling technology for future space exploration robots: ISS experiments on monocular distance learning

NASA Astrophysics Data System (ADS)

van Hecke, Kevin; de Croon, Guido C. H. E.; Hennes, Daniel; Setterfield, Timothy P.; Saenz-Otero, Alvar; Izzo, Dario

2017-11-01

Although machine learning holds an enormous promise for autonomous space robots, it is currently not employed because of the inherent uncertain outcome of learning processes. In this article we investigate a learning mechanism, Self-Supervised Learning (SSL), which is very reliable and hence an important candidate for real-world deployment even on safety-critical systems such as space robots. To demonstrate this reliability, we introduce a novel SSL setup that allows a stereo vision equipped robot to cope with the failure of one of its cameras. The setup learns to estimate average depth using a monocular image, by using the stereo vision depths from the past as trusted ground truth. We present preliminary results from an experiment on the International Space Station (ISS) performed with the MIT/NASA SPHERES VERTIGO satellite. The presented experiments were performed on October 8th, 2015 on board the ISS. The main goals were (1) data gathering, and (2) navigation based on stereo vision. First the astronaut Kimiya Yui moved the satellite around the Japanese Experiment Module to gather stereo vision data for learning. Subsequently, the satellite freely explored the space in the module based on its (trusted) stereo vision system and a pre-programmed exploration behavior, while simultaneously performing the self-supervised learning of monocular depth estimation on board. The two main goals were successfully achieved, representing the first online learning robotic experiments in space. These results lay the groundwork for a follow-up experiment in which the satellite will use the learned single-camera depth estimation for autonomous exploration in the ISS, and are an advancement towards future space robots that continuously improve their navigation capabilities over time, even in harsh and completely unknown space environments.

Deep learning and model predictive control for self-tuning mode-locked lasers

NASA Astrophysics Data System (ADS)

Baumeister, Thomas; Brunton, Steven L.; Nathan Kutz, J.

2018-03-01

Self-tuning optical systems are of growing importance in technological applications such as mode-locked fiber lasers. Such self-tuning paradigms require {\\em intelligent} algorithms capable of inferring approximate models of the underlying physics and discovering appropriate control laws in order to maintain robust performance for a given objective. In this work, we demonstrate the first integration of a {\\em deep learning} (DL) architecture with {\\em model predictive control} (MPC) in order to self-tune a mode-locked fiber laser. Not only can our DL-MPC algorithmic architecture approximate the unknown fiber birefringence, it also builds a dynamical model of the laser and appropriate control law for maintaining robust, high-energy pulses despite a stochastically drifting birefringence. We demonstrate the effectiveness of this method on a fiber laser which is mode-locked by nonlinear polarization rotation. The method advocated can be broadly applied to a variety of optical systems that require robust controllers.

Self-Regulated Learning and a Sense of Achievement in MOOCs among High School Science and Technology Students

ERIC Educational Resources Information Center

Cohen, Lizi; Magen-Nagar, Noga

2016-01-01

This study, conducted in Israel, examined how learning strategies and motivational orientations contributed to high school students' sense of achievement in a massive open online course. The objective was to integrate an innovative teaching-learning strategy into the educational system that is based on online learning for students in subjects that…

Training the Brain or Tending a Garden? Students' Metaphors of Learning Predict Self-Reported Learning Patterns

ERIC Educational Resources Information Center

Wegner, Elisabeth; Nückles, Matthias

2015-01-01

Conceptions of learning are seen as an important factor in shaping students' patterns of learning. However, conceptions are often implicit and difficult to assess. Metaphors have been proposed as a method to assess conceptions, because metaphors are closely linked to the conceptual system. Therefore, in our study we assessed which conceptions of…

Factors Affecting Nursing Students' Readiness and Perceptions Toward the Use of Mobile Technologies for Learning.

PubMed

Zayim, Nese; Ozel, Deniz

2015-10-01

The purpose of this study was to determine the current usage of mobile devices, preferences of mobile learning environments and examine the readiness of nursing students in a public university. In order to investigate preferences and attitudes with respect to mobile technology use in nursing education, 387 students at a state university have been surveyed. It has been observed that while students preferred their current portable laptops, those in higher classes were more inclined to favor mobile phones. The common problems of battery life and high cost of communication, both in smartphones and tablet systems, suggest that hardware quality and financial constraints seem to be two main factors in determining these technologies. While more than half of students expressed readiness for mobile learning, one quarter indicated indecision. Through multivariate regression analysis, readiness to use mobile learning can be described in terms of perceived ease of use, perceived usefulness, personal innovativeness, self-management of learning, perceived device limitation, and availability. Class level, perceived ease of use, personal innovativeness, and self-management of learning explain intention to use mobile learning. Findings obtained from these results can provide guidance in the development and application of mobile learning systems.

Self-Supervised Chinese Ontology Learning from Online Encyclopedias

PubMed Central

Shao, Zhiqing; Ruan, Tong

2014-01-01

Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for ontology learning and describe how to transfer the structured knowledge in encyclopedias, including article titles, category labels, redirection pages, taxonomy systems, and InfoBox modules, into ontological form. In order to avoid the errors in encyclopedias and enrich the learnt ontology, we also apply some machine learning based methods. First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO. PMID:24715819

Self-supervised Chinese ontology learning from online encyclopedias.

PubMed

Hu, Fanghuai; Shao, Zhiqing; Ruan, Tong

2014-01-01

Constructing ontology manually is a time-consuming, error-prone, and tedious task. We present SSCO, a self-supervised learning based chinese ontology, which contains about 255 thousand concepts, 5 million entities, and 40 million facts. We explore the three largest online Chinese encyclopedias for ontology learning and describe how to transfer the structured knowledge in encyclopedias, including article titles, category labels, redirection pages, taxonomy systems, and InfoBox modules, into ontological form. In order to avoid the errors in encyclopedias and enrich the learnt ontology, we also apply some machine learning based methods. First, we proof that the self-supervised machine learning method is practicable in Chinese relation extraction (at least for synonymy and hyponymy) statistically and experimentally and train some self-supervised models (SVMs and CRFs) for synonymy extraction, concept-subconcept relation extraction, and concept-instance relation extraction; the advantages of our methods are that all training examples are automatically generated from the structural information of encyclopedias and a few general heuristic rules. Finally, we evaluate SSCO in two aspects, scale and precision; manual evaluation results show that the ontology has excellent precision, and high coverage is concluded by comparing SSCO with other famous ontologies and knowledge bases; the experiment results also indicate that the self-supervised models obviously enrich SSCO.

Computer-aided auscultation learning system for nursing technique instruction.

PubMed

Hou, Chun-Ju; Chen, Yen-Ting; Hu, Ling-Chen; Chuang, Chih-Chieh; Chiu, Yu-Hsien; Tsai, Ming-Shih

2008-01-01

Pulmonary auscultation is a physical assessment skill learned by nursing students for examining the respiratory system. Generally, a sound simulator equipped mannequin is used to group teach auscultation techniques via classroom demonstration. However, nursing students cannot readily duplicate this learning environment for self-study. The advancement of electronic and digital signal processing technologies facilitates simulating this learning environment. This study aims to develop a computer-aided auscultation learning system for assisting teachers and nursing students in auscultation teaching and learning. This system provides teachers with signal recording and processing of lung sounds and immediate playback of lung sounds for students. A graphical user interface allows teachers to control the measuring device, draw lung sound waveforms, highlight lung sound segments of interest, and include descriptive text. Effects on learning lung sound auscultation were evaluated for verifying the feasibility of the system. Fifteen nursing students voluntarily participated in the repeated experiment. The results of a paired t test showed that auscultative abilities of the students were significantly improved by using the computer-aided auscultation learning system.

Learning robot actions based on self-organising language memory.

PubMed

Wermter, Stefan; Elshaw, Mark

2003-01-01

In the MirrorBot project we examine perceptual processes using models of cortical assemblies and mirror neurons to explore the emergence of semantic representations of actions, percepts and concepts in a neural robot. The hypothesis under investigation is whether a neural model will produce a life-like perception system for actions. In this context we focus in this paper on how instructions for actions can be modeled in a self-organising memory. Current approaches for robot control often do not use language and ignore neural learning. However, our approach uses language instruction and draws from the concepts of regional distributed modularity, self-organisation and neural assemblies. We describe a self-organising model that clusters actions into different locations depending on the body part they are associated with. In particular, we use actual sensor readings from the MIRA robot to represent semantic features of the action verbs. Furthermore, we outline a hierarchical computational model for a self-organising robot action control system using language for instruction.

Phonetic radicals, not phonological coding systems, support orthographic learning via self-teaching in Chinese.

PubMed

Li, Luan; Wang, Hua-Chen; Castles, Anne; Hsieh, Miao-Ling; Marinus, Eva

2018-07-01

According to the self-teaching hypothesis (Share, 1995), phonological decoding is fundamental to acquiring orthographic representations of novel written words. However, phonological decoding is not straightforward in non-alphabetic scripts such as Chinese, where words are presented as characters. Here, we present the first study investigating the role of phonological decoding in orthographic learning in Chinese. We examined two possible types of phonological decoding: the use of phonetic radicals, an internal phonological aid, andthe use of Zhuyin, an external phonological coding system. Seventy-three Grade 2 children were taught the pronunciations and meanings of twelve novel compound characters over four days. They were then exposed to the written characters in short stories, and were assessed on their reading accuracy and on their subsequent orthographic learning via orthographic choice and spelling tasks. The novel characters were assigned three different types of pronunciation in relation to its phonetic radical - (1) a pronunciation that is identical to the phonetic radical in isolation; (2) a common alternative pronunciation associated with the phonetic radical when it appears in other characters; and (3) a pronunciation that is unrelated to the phonetic radical. The presence of Zhuyin was also manipulated. The children read the novel characters more accurately when phonological cues from the phonetic radicals were available and in the presence of Zhuyin. However, only the phonetic radicals facilitated orthographic learning. The findings provide the first empirical evidence of orthographic learning via self-teaching in Chinese, and reveal how phonological decoding functions to support learning in non-alphabetic writing systems. Copyright © 2018 Elsevier B.V. All rights reserved.

Psychological and Organizational Variables Associated with Workplace Learning in Small and Medium Manufacturing Businesses in Korea

ERIC Educational Resources Information Center

Moon, Se-Yeon; Na, Seung-Il

2009-01-01

The purpose of this study was to determine the relationship between workplace learning and psychological variables, such as learning competency, motivation, curiosity, self-esteem and locus of control, and organizational variables, such as centralization of power, formality, merit system and communication. The studied population consisted entirely…

Experiential Learning for Engaging Nutrition Undergraduates with Sustainability

ERIC Educational Resources Information Center

Maher, Judith; Burkhart, Sarah

2017-01-01

Purpose: The purpose of this paper is to describe students' self-reported learning from engaging in an experiential learning task designed to develop their understanding of sustainable food systems and dietary practices. Design/methodology/approach: In all, 143 first-year students enrolled in an entry level food and nutrition subject undertook a…

A Naive Bayes Approach for Converging Learning Objects with Open Educational Resources

ERIC Educational Resources Information Center

Sabitha, A. Sai; Mehrotra, Deepti; Bansal, Abhay; Sharma, B. K.

2016-01-01

Open educational resources (OER) are digitised material freely available to the students and self learners. Many institutions had initiated in incorporating these OERs in their higher educational system, to improve the quality of teaching and learning. These resources promote individualised study, collaborative learning. If they are coupled with…

Avatars, Pedagogical Agents, and Virtual Environments: Social Learning Systems Online

ERIC Educational Resources Information Center

Ausburn, Lynna J.; Martens, Jon; Dotterer, Gary; Calhoun, Pat

2009-01-01

This paper presents a review of literature that introduces major concepts and issues in using avatars and pedagogical agents in first- and second-person virtual environments (VEs) for learning online. In these VEs, avatars and pedagogical agents represent self and other learners/participants or serve as personal learning "guides". The…

A Constructivist Approach in a Blended E-Learning Environment for Statistics

ERIC Educational Resources Information Center

Poelmans, Stephan; Wessa, Patrick

2015-01-01

In this study, we report on the students' evaluation of a self-constructed constructivist e-learning environment for statistics, the compendium platform (CP). The system was built to endorse deeper learning with the incorporation of statistical reproducibility and peer review practices. The deployment of the CP, with interactive workshops and…

Student self-assessment in an interactive learning environment: Technological tools for scaffolding and understanding self-assessment practices

NASA Astrophysics Data System (ADS)

Eslinger, Eric Martin

Metacognitive skills are a crucial component of a successful learning career. We define metacognition as the ability to plan, monitor progress toward a goal, reflect on the quality of work and process, and revise the work or plan accordingly. By explicitly addressing certain metacognitive practices in classrooms, researchers have observed improved learning outcomes in both science and mathematical problem solving. Although these efforts were successful, they were also limited in the range of skills that could be addressed at one time and the methods used to address them due to the static nature inherent in traditional pencil-and-paper format. We wished to address these skills in a more dynamic, continuous representation such as that afforded by a computerized learning environment. This paper outlines such an environment and describes pedagogical activities afforded by the system. The ThinkerTools group developed and tested a software scaffold for inquiry projects in a middle-school classroom. By analyzing student use of the software tool, three forms of self-assessment activity were noted: integrated, task and project self-assessment. Each assessment form was related to the degree of interleaving between assessment and work the students engaged in as they developed their inquiry products. I argue that the integrated forms of assessment are more beneficial to student learning, and show that there is a significant relationship between active self-assessment forms and measures of student achievement and product quality. Through the use of case studies including video analysis, I address specific student self-assessment activity that utilized the software as well as self-assessment that took place outside of the software. A model of student self-assessment activity was created, highlighting aspects of activity that afford more productive self-assessment episodes.

A Confucian Perspective of Self-Cultivation in Learning: Its Implications for Self-Directed Learning

ERIC Educational Resources Information Center

Tan, Charlene

2017-01-01

This article explores a Confucian perspective of self-cultivation in learning and its implications for self-directed learning. Focussing on two key Confucian texts, "Xueji" (Record of Learning) and "Xunzi," this essay expounds the purpose, content, process and essence of self-cultivation in learning. From a Confucian viewpoint,…

Self-Learning Monte Carlo Method

NASA Astrophysics Data System (ADS)

Liu, Junwei; Qi, Yang; Meng, Zi Yang; Fu, Liang

Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of general and efficient update algorithm for large size systems close to phase transition or with strong frustrations, for which local updates perform badly. In this work, we propose a new general-purpose Monte Carlo method, dubbed self-learning Monte Carlo (SLMC), in which an efficient update algorithm is first learned from the training data generated in trial simulations and then used to speed up the actual simulation. We demonstrate the efficiency of SLMC in a spin model at the phase transition point, achieving a 10-20 times speedup. This work is supported by the DOE Office of Basic Energy Sciences, Division of Materials Sciences and Engineering under Award DE-SC0010526.

Multimedia Learning System and Its Effect on Self-Efficacy in Database Modeling and Design: An Exploratory Study

ERIC Educational Resources Information Center

Cheung, Waiman; Li, Eldon Y.; Yee, Lester W.

2003-01-01

Metadatabase modeling and design integrate process modeling and data modeling methodologies. Both are core topics in the information technology (IT) curriculum. Learning these topics has been an important pedagogical issue to the core studies for management information systems (MIS) and computer science (CSc) students. Unfortunately, the learning…

Effectiveness of a Learner-Directed Model for e-Learning

ERIC Educational Resources Information Center

Lee, Stella; Barker, Trevor; Kumar, Vivekanandan Suresh

2016-01-01

It is a hard task to strike a balance between extents of control a learner exercises and the amount of guidance, active or passive, afforded by the learning environment to guide, support, and motivate the learner. Adaptive systems strive to find the right balance in a spectrum that spans between self-control and system-guidance. They also concern…

Assessment of Self-Directed Learning in an Online Context in the Community College Setting

ERIC Educational Resources Information Center

Gustafson, Kathleen Yoshino

2010-01-01

Online learning in higher education has increased substantially over the past five years with community colleges in the forefront of most of this growth. The California Community Colleges System, the nation's largest higher education system, has increased its online offerings among its 110 colleges. But student success rates for online learning…

Academic Success Is about Self-Efficacy Rather than Frequency of Use of the Learning Management System

ERIC Educational Resources Information Center

Broadbent, Jaclyn

2016-01-01

Previous studies have investigated the association between the frequency of student learning management system (LMS) use (logins, discussion board use, resources used, etc.) and academic achievement. These studies indicate that low LMS use by students is likely to result in less academic success. However, these models fail to take into account…

The Role of Self-Assessment in Foundation of Mathematics Learning

NASA Astrophysics Data System (ADS)

Masriyah

2018-01-01

This research is motivated by the low performance of students who took Foundations of Mathematics course. This study was aimed to describe (1) the learning outcomes of students who learned Mathematics Foundation after learning axiomatic applying self-assessment; (2) the difficulty of students and the alternative solutions; and (3) the response of students toward Foundation of Mathematics learning taught by applying self-assessment. This research was a descriptive research. The subjects were 25 mathematics students who studied Foundation of Mathematics in odd semester of the 2015/2016 academic year. Data collection was done using questionnaires, and testing methods. Based on the results of data analysis, it can be concluded that the learning outcomes of students were categorized as “good.” Student responses were positive; the difficulties lied in the sub material: Classification of Axiom Systems and the requirements, Theorem and how the formation, and finite geometry. The alternatives deal with these difficulties are to give emphasis and explanation as needed on these materials, as well as provide some more exercises to reinforce their understanding.

From self-assessment to frustration, a small step toward autonomy in robotic navigation

PubMed Central

Jauffret, Adrien; Cuperlier, Nicolas; Tarroux, Philippe; Gaussier, Philippe

2013-01-01

Autonomy and self-improvement capabilities are still challenging in the fields of robotics and machine learning. Allowing a robot to autonomously navigate in wide and unknown environments not only requires a repertoire of robust strategies to cope with miscellaneous situations, but also needs mechanisms of self-assessment for guiding learning and for monitoring strategies. Monitoring strategies requires feedbacks on the behavior's quality, from a given fitness system in order to take correct decisions. In this work, we focus on how a second-order controller can be used to (1) manage behaviors according to the situation and (2) seek for human interactions to improve skills. Following an incremental and constructivist approach, we present a generic neural architecture, based on an on-line novelty detection algorithm that may be able to self-evaluate any sensory-motor strategies. This architecture learns contingencies between sensations and actions, giving the expected sensation from the previous perception. Prediction error, coming from surprising events, provides a measure of the quality of the underlying sensory-motor contingencies. We show how a simple second-order controller (emotional system) based on the prediction progress allows the system to regulate its behavior to solve complex navigation tasks and also succeeds in asking for help if it detects dead-lock situations. We propose that this model could be a key structure toward self-assessment and autonomy. We made several experiments that can account for such properties for two different strategies (road following and place cells based navigation) in different situations. PMID:24115931

Evoked prior learning experience and approach to learning as predictors of academic achievement.

PubMed

Trigwell, Keith; Ashwin, Paul; Millan, Elena S

2013-09-01

In separate studies and research from different perspectives, five factors are found to be among those related to higher quality outcomes of student learning (academic achievement). Those factors are higher self-efficacy, deeper approaches to learning, higher quality teaching, students' perceptions that their workload is appropriate, and greater learning motivation. University learning improvement strategies have been built on these research results. To investigate how students' evoked prior experience, perceptions of their learning environment, and their approaches to learning collectively contribute to academic achievement. This is the first study to investigate motivation and self-efficacy in the same educational context as conceptions of learning, approaches to learning and perceptions of the learning environment. Undergraduate students (773) from the full range of disciplines were part of a group of over 2,300 students who volunteered to complete a survey of their learning experience. On completing their degrees 6 and 18 months later, their academic achievement was matched with their learning experience survey data. A 77-item questionnaire was used to gather students' self-report of their evoked prior experience (self-efficacy, learning motivation, and conceptions of learning), perceptions of learning context (teaching quality and appropriate workload), and approaches to learning (deep and surface). Academic achievement was measured using the English honours degree classification system. Analyses were conducted using correlational and multi-variable (structural equation modelling) methods. The results from the correlation methods confirmed those found in numerous earlier studies. The results from the multi-variable analyses indicated that surface approach to learning was the strongest predictor of academic achievement, with self-efficacy and motivation also found to be directly related. In contrast to the correlation results, a deep approach to learning was not related to academic achievement, and teaching quality and conceptions of learning were only indirectly related to achievement. Research aimed at understanding how students experience their learning environment and how that experience relates to the quality of their learning needs to be conducted using a wider range of variables and more sophisticated analytical methods. In this study of one context, some of the relations found in earlier bivariate studies, and on which learning intervention strategies have been built, are not confirmed when more holistic teaching-learning contexts are analysed using multi-variable methods. © 2012 The British Psychological Society.

Smartphone-Based Patients' Activity Recognition by Using a Self-Learning Scheme for Medical Monitoring.

PubMed

Guo, Junqi; Zhou, Xi; Sun, Yunchuan; Ping, Gong; Zhao, Guoxing; Li, Zhuorong

2016-06-01

Smartphone based activity recognition has recently received remarkable attention in various applications of mobile health such as safety monitoring, fitness tracking, and disease prediction. To achieve more accurate and simplified medical monitoring, this paper proposes a self-learning scheme for patients' activity recognition, in which a patient only needs to carry an ordinary smartphone that contains common motion sensors. After the real-time data collection though this smartphone, we preprocess the data using coordinate system transformation to eliminate phone orientation influence. A set of robust and effective features are then extracted from the preprocessed data. Because a patient may inevitably perform various unpredictable activities that have no apriori knowledge in the training dataset, we propose a self-learning activity recognition scheme. The scheme determines whether there are apriori training samples and labeled categories in training pools that well match with unpredictable activity data. If not, it automatically assembles these unpredictable samples into different clusters and gives them new category labels. These clustered samples combined with the acquired new category labels are then merged into the training dataset to reinforce recognition ability of the self-learning model. In experiments, we evaluate our scheme using the data collected from two postoperative patient volunteers, including six labeled daily activities as the initial apriori categories in the training pool. Experimental results demonstrate that the proposed self-learning scheme for activity recognition works very well for most cases. When there exist several types of unseen activities without any apriori information, the accuracy reaches above 80 % after the self-learning process converges.

The Influence of Self-Efficacy and Self-Regulated Motivation on Civic Learning in Service Learning Courses

ERIC Educational Resources Information Center

Richards, K. Andrew R.; Levesque-Bristol, Chantal

2016-01-01

Service learning can help students to engage in the community while applying lessons learned in their coursework. Using self-determination theory, we evaluated the relationship among self-efficacy, self-regulated motivation, and civic learning in service learning courses. Participants included 242 college students (122 females, 120 males) across…

The mediating role of metacognition in the relationship between executive function and self-regulated learning.

PubMed

Follmer, D Jake; Sperling, Rayne A

2016-12-01

Researchers have demonstrated significant relations among executive function, metacognition, and self-regulated learning. However, prior research emphasized the use of indirect measures of executive function and did not evaluate how specific executive functions are related to participants' self-regulated learning. The primary goals of the current study were to examine and test the relations among executive function, metacognition, and self-regulated learning as well as to examine how self-regulated learning is informed by executive function. The sample comprised 117 undergraduate students attending a large, Mid-Atlantic research university in the United States. Participants were individually administered direct and indirect measures of executive function, metacognition, and self-regulated learning. A mediation model specifying the relations among the regulatory constructs was proposed. In multiple linear regression analyses, executive function predicted metacognition and self-regulated learning. Direct measures of inhibition and shifting accounted for a significant amount of the variance in metacognition and self-regulated learning beyond an indirect measure of executive functioning. Separate mediation analyses indicated that metacognition mediated the relationship between executive functioning and self-regulated learning as well as between specific executive functions and self-regulated learning. The findings of this study are supported by previous research documenting the relations between executive function and self-regulated learning, and extend prior research by examining the manner in which executive function and self-regulated learning are linked. The findings provide initial support for executive functions as key processes, mediated by metacognition, that predict self-regulated learning. Implications for the contribution of executive functions to self-regulated learning are discussed. © 2016 The British Psychological Society.

A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics

PubMed Central

Axenie, Cristian; Richter, Christoph; Conradt, Jörg

2016-01-01

Biological and technical systems operate in a rich multimodal environment. Due to the diversity of incoming sensory streams a system perceives and the variety of motor capabilities a system exhibits there is no single representation and no singular unambiguous interpretation of such a complex scene. In this work we propose a novel sensory processing architecture, inspired by the distributed macro-architecture of the mammalian cortex. The underlying computation is performed by a network of computational maps, each representing a different sensory quantity. All the different sensory streams enter the system through multiple parallel channels. The system autonomously associates and combines them into a coherent representation, given incoming observations. These processes are adaptive and involve learning. The proposed framework introduces mechanisms for self-creation and learning of the functional relations between the computational maps, encoding sensorimotor streams, directly from the data. Its intrinsic scalability, parallelisation, and automatic adaptation to unforeseen sensory perturbations make our approach a promising candidate for robust multisensory fusion in robotic systems. We demonstrate this by applying our model to a 3D motion estimation on a quadrotor. PMID:27775621

Self-Learning Intelligent Agents for Dynamic Traffic Routing on Transportation Networks

NASA Astrophysics Data System (ADS)

Sadek, Add; Basha, Nagi

Intelligent Transportation Systems (ITS) are designed to take advantage of recent advances in communications, electronics, and Information Technology in improving the efficiency and safety of transportation systems. Among the several ITS applications is the notion of Dynamic Traffic Routing (DTR), which involves generating "optimal" routing recommendations to drivers with the aim of maximizing network utilizing. In this paper, we demonstrate the feasibility of using a self-learning intelligent agent to solve the DTR problem to achieve traffic user equilibrium in a transportation network. The core idea is to deploy an agent to a simulation model of a highway. The agent then learns by itself by interacting with the simulation model. Once the agent reaches a satisfactory level of performance, it can then be deployed to the real-world, where it would continue to learn how to refine its control policies over time. To test this concept in this paper, the Cell Transmission Model (CTM) developed by Carlos Daganzo of the University of California at Berkeley is used to simulate a simple highway with two main alternative routes. With the model developed, a Reinforcement Learning Agent (RLA) is developed to learn how to best dynamically route traffic, so as to maximize the utilization of existing capacity. Preliminary results obtained from our experiments are promising. RL, being an adaptive online learning technique, appears to have a great potential for controlling a stochastic dynamic systems such as a transportation system. Furthermore, the approach is highly scalable and applicable to a variety of networks and roadways.

The People Side of Performance Improvement.

ERIC Educational Resources Information Center

Gerson, Richard F.

1999-01-01

Discusses 11 keys to the personal side of performance improvement, including positive attitude, high self esteem and positive self-image, communication skills, lifelong learning, caring about other people, health and well-being, motivation, goal setting, relaxation, visualization, and personal value system. (LRW)

Web-based, mobile-device friendly, self-report survey system incorporating avatars and gaming console techniques.

PubMed

Savel, Craig; Mierzwa, Stan; Gorbach, Pamina; Lally, Michelle; Zimet, Gregory; Meyer, Kristin; Souidi, Samir; Interventions, Aids

2014-01-01

We describe building an avatar-based self-report data collection tool to be used for a specific HIV prevention research project that is evaluating the feasibility and acceptability of this novel approach to collect self-reported data among youth. We discuss the gathering of requirements, the process of building a prototype of the envisioned system, and the lessons learned during the development of the solution. Specific knowledge is shared regarding technical experience with software development technologies and possible avenues for changes that could be considered if such a self-report survey system is used again. Examples of other gaming and avatar technology systems are included to provide further background.

Web-based, mobile-device friendly, self-report survey system incorporating avatars and gaming console techniques

PubMed Central

Savel, Craig; Mierzwa, Stan; Gorbach, Pamina; Lally, Michelle; Zimet, Gregory; Meyer, Kristin; Souidi, Samir; Interventions, AIDS

2014-01-01

We describe building an avatar-based self-report data collection tool to be used for a specific HIV prevention research project that is evaluating the feasibility and acceptability of this novel approach to collect self-reported data among youth. We discuss the gathering of requirements, the process of building a prototype of the envisioned system, and the lessons learned during the development of the solution. Specific knowledge is shared regarding technical experience with software development technologies and possible avenues for changes that could be considered if such a self-report survey system is used again. Examples of other gaming and avatar technology systems are included to provide further background. PMID:25422726

A Self-instructional Model to Teach Systems-based Practice and Practice-based Learning and Improvement

PubMed Central

Kimura, Joe; Ladden, MaryJoan D.; March, Elizabeth; Moore, Gordon T.

2008-01-01

Background When mandated as resident competencies in 1999, systems-based practice (SBP) and practice-based learning and improvement (PBLI) were new concepts to many. Objective To describe and evaluate a 4-week clinical elective (Achieving Competence Today—ACT) to teach residents SBP and PBLI. Design ACT consisted of a four-week active learning course and follow-up teaching experience, guided and supported by web-based materials. The curriculum included readings, scheduled activities, work products including an improvement project, and weekly meetings with a non-expert preceptor. The evaluation used a before–after cross-comparison of ACT residents and their peers. Participants Seventy-eight residents and 42 faculty in 18 US Internal Medicine residency programs participated between 2003 and 2005. Results and Main Measurements All residents and faculty preceptors responded to a knowledge test, survey of attitudes, and self-assessment of competency to do 15 tasks related to SBP/PBLI. All measures were normalized to a 100-point scale. Each program’s principal investigator (PI) identified aspects of ACT that were most and least effective in enhancing resident learning. ACT residents’ gains in knowledge (4.4 on a 100-point scale) and self-assessed competency (11.3) were greater than controls’ (−1.9, −8.0), but changes in attitudes were not significantly different. Faculty preceptors’ knowledge scores did not change, but their attitudes became more positive (15.8). PIs found a ready-to-use curriculum effective (rated 8.5 on a 10-point scale). Conclusions ACT increased residents’ knowledge and self-assessment of their own competency and raised faculty’s assessment of the importance of residents’ learning SBP/PBLI. Faculty content expertise is not required for residents to learn SBP/PBLI. PMID:18612719

A self-instructional model to teach systems-based practice and practice-based learning and improvement.

PubMed

Peters, Antoinette S; Kimura, Joe; Ladden, Maryjoan D; March, Elizabeth; Moore, Gordon T

2008-07-01

When mandated as resident competencies in 1999, systems-based practice (SBP) and practice-based learning and improvement (PBLI) were new concepts to many. To describe and evaluate a 4-week clinical elective (Achieving Competence Today-ACT) to teach residents SBP and PBLI. ACT consisted of a four-week active learning course and follow-up teaching experience, guided and supported by web-based materials. The curriculum included readings, scheduled activities, work products including an improvement project, and weekly meetings with a non-expert preceptor. The evaluation used a before-after cross-comparison of ACT residents and their peers. Seventy-eight residents and 42 faculty in 18 US Internal Medicine residency programs participated between 2003 and 2005. RESULTS AND MAIN MEASUREMENTS: All residents and faculty preceptors responded to a knowledge test, survey of attitudes, and self-assessment of competency to do 15 tasks related to SBP/PBLI. All measures were normalized to a 100-point scale. Each program's principal investigator (PI) identified aspects of ACT that were most and least effective in enhancing resident learning. ACT residents' gains in knowledge (4.4 on a 100-point scale) and self-assessed competency (11.3) were greater than controls' (-1.9, -8.0), but changes in attitudes were not significantly different. Faculty preceptors' knowledge scores did not change, but their attitudes became more positive (15.8). PIs found a ready-to-use curriculum effective (rated 8.5 on a 10-point scale). ACT increased residents' knowledge and self-assessment of their own competency and raised faculty's assessment of the importance of residents' learning SBP/PBLI. Faculty content expertise is not required for residents to learn SBP/PBLI.

Expanding Horizons in Self-Directed Learning.

ERIC Educational Resources Information Center

Long, Huey B.; And Others

The following papers are included: "Preface" (Huey B. Long); "Self-Directed Learning: Smoke and Mirrors?" (Huey B. Long); "From Self-Culture to Self-Direction: An Historical Analysis of Self-Directed Learning" (Amy D. Rose); "The Link between Self-Directed and Transformative Learning" (Jane Pilling-Cormick);…

Exploring nursing e-learning systems success based on information system success model.

PubMed

Chang, Hui-Chuan; Liu, Chung-Feng; Hwang, Hsin-Ginn

2011-12-01

E-learning is thought of as an innovative approach to enhance nurses' care service knowledge. Extensive research has provided rich information toward system development, courses design, and nurses' satisfaction with an e-learning system. However, a comprehensive view in understanding nursing e-learning system success is an important but less focused-on topic. The purpose of this research was to explore net benefits of nursing e-learning systems based on the updated DeLone and McLean's Information System Success Model. The study used a self-administered questionnaire to collected 208 valid nurses' responses from 21 of Taiwan's medium- and large-scale hospitals that have implemented nursing e-learning systems. The result confirms that the model is sufficient to explore the nurses' use of e-learning systems in terms of intention to use, user satisfaction, and net benefits. However, while the three exogenous quality factors (system quality, information quality, and service quality) were all found to be critical factors affecting user satisfaction, only information quality showed a direct effect on the intention to use. This study provides useful insights for evaluating nursing e-learning system qualities as well as an understanding of nurses' intentions and satisfaction related to performance benefits.

The Seductive Waltz with the Self in Self-Regulated Learning: Toward Communal Regulation of Learning

ERIC Educational Resources Information Center

Schechter, Chen

2017-01-01

This article proposes a complementary framework for scholarship on metacognition as well as on self-regulated learning. It is argued that educators' and researchers' seductive waltz with the "self" in self-regulated learning (e.g., self-monitoring, self-control) need not be abandoned when conceptualizing and empirically investigating…

Effects of Self-Regulated Vocabulary Learning Process on Self-Efficacy

ERIC Educational Resources Information Center

Mizumoto, Atsushi

2013-01-01

Researchers, especially in the field of educational psychology, have argued that self-efficacy plays an important role in self-regulated learning. As such, teaching of self-regulated learning often focuses on enhancing self-efficacy. However, few studies have examined how the process of self-regulated learning might lead to the enhancement of…

Putting Fun Back into Learning.

ERIC Educational Resources Information Center

Rao, Srikumar S.

1995-01-01

People will learn better if they like what they are learning. Computers offer an extensive library of cases, examples, and stories that are easy to access, fun to work through, and tell students what they want to know. One example is the ASK system, a 15-module, self-study, multimedia program that is fun for trainees to use, which should enhance…

Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy.

PubMed

Jia, Zi-Jun; Song, Yong-Duan

2017-06-01

This paper presents a new approach to construct neural adaptive control for uncertain nonaffine systems. By integrating locally weighted learning with barrier Lyapunov function (BLF), a novel control design method is presented to systematically address the two critical issues in neural network (NN) control field: one is how to fulfill the compact set precondition for NN approximation, and the other is how to use varying rather than a fixed NN structure to improve the functionality of NN control. A BLF is exploited to ensure the NN inputs to remain bounded during the entire system operation. To account for system nonlinearities, a neuron self-growing strategy is proposed to guide the process for adding new neurons to the system, resulting in a self-adjustable NN structure for better learning capabilities. It is shown that the number of neurons needed to accomplish the control task is finite, and better performance can be obtained with less number of neurons as compared with traditional methods. The salient feature of the proposed method also lies in the continuity of the control action everywhere. Furthermore, the resulting control action is smooth almost everywhere except for a few time instants at which new neurons are added. Numerical example illustrates the effectiveness of the proposed approach.

Efficient self-organizing multilayer neural network for nonlinear system modeling.

PubMed

Han, Hong-Gui; Wang, Li-Dan; Qiao, Jun-Fei

2013-07-01

It has been shown extensively that the dynamic behaviors of a neural system are strongly influenced by the network architecture and learning process. To establish an artificial neural network (ANN) with self-organizing architecture and suitable learning algorithm for nonlinear system modeling, an automatic axon-neural network (AANN) is investigated in the following respects. First, the network architecture is constructed automatically to change both the number of hidden neurons and topologies of the neural network during the training process. The approach introduced in adaptive connecting-and-pruning algorithm (ACP) is a type of mixed mode operation, which is equivalent to pruning or adding the connecting of the neurons, as well as inserting some required neurons directly. Secondly, the weights are adjusted, using a feedforward computation (FC) to obtain the information for the gradient during learning computation. Unlike most of the previous studies, AANN is able to self-organize the architecture and weights, and to improve the network performances. Also, the proposed AANN has been tested on a number of benchmark problems, ranging from nonlinear function approximating to nonlinear systems modeling. The experimental results show that AANN can have better performances than that of some existing neural networks. Crown Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Self Directed Learning and Self Management. Symposium.

ERIC Educational Resources Information Center

2002

This document contains three papers from a symposium on self-directed learning and self-management. "Validating a More-Dimensional Conception of Self-Directed Learning" (Gerald A. Straka, Cornelia Schaefer) discusses the development and validation of a conception of self-directed learning as a dynamic interplay between behavior,…

A Natural Language Intelligent Tutoring System for Training Pathologists - Implementation and Evaluation

PubMed Central

El Saadawi, Gilan M.; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Castine, Melissa; Fine, Jeffrey; Gormley, Robert; Crowley, Rebecca S.

2009-01-01

Introduction We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches residents to examine pathologic slides and write accurate pathology reports while providing immediate feedback on errors they make in their slide review and diagnostic reports. Residents can ask for help at any point in the case, and will receive context-specific feedback. Research Questions We evaluated (1) the performance of our natural language system, (2) the effect of the system on learning (3) the effect of feedback timing on learning gains and (4) the effect of ReportTutor on performance to self-assessment correlations. Methods The study uses a crossover 2×2 factorial design. We recruited 20 subjects from 4 academic programs. Subjects were randomly assigned to one of the four conditions - two conditions for the immediate interface, and two for the delayed interface. An expert dermatopathologist created a reference standard and 2 board certified AP/CP pathology fellows manually coded the residents' assessment reports. Subjects were given the opportunity to self grade their performance and we used a survey to determine student response to both interfaces. Results Our results show a highly significant improvement in report writing after one tutoring session with 4-fold increase in the learning gains with both interfaces but no effect of feedback timing on performance gains. Residents who used the immediate feedback interface first experienced a feature learning gain that is correlated with the number of cases they viewed. There was no correlation between performance and self-assessment in either condition. PMID:17934789

A natural language intelligent tutoring system for training pathologists: implementation and evaluation.

PubMed

El Saadawi, Gilan M; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Castine, Melissa; Fine, Jeffrey; Gormley, Robert; Crowley, Rebecca S

2008-12-01

We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches residents to examine pathologic slides and write accurate pathology reports while providing immediate feedback on errors they make in their slide review and diagnostic reports. Residents can ask for help at any point in the case, and will receive context-specific feedback. We evaluated (1) the performance of our natural language system, (2) the effect of the system on learning (3) the effect of feedback timing on learning gains and (4) the effect of ReportTutor on performance to self-assessment correlations. The study uses a crossover 2 x 2 factorial design. We recruited 20 subjects from 4 academic programs. Subjects were randomly assigned to one of the four conditions--two conditions for the immediate interface, and two for the delayed interface. An expert dermatopathologist created a reference standard and 2 board certified AP/CP pathology fellows manually coded the residents' assessment reports. Subjects were given the opportunity to self grade their performance and we used a survey to determine student response to both interfaces. Our results show a highly significant improvement in report writing after one tutoring session with 4-fold increase in the learning gains with both interfaces but no effect of feedback timing on performance gains. Residents who used the immediate feedback interface first experienced a feature learning gain that is correlated with the number of cases they viewed. There was no correlation between performance and self-assessment in either condition.

Secure VM for Monitoring Industrial Process Controllers

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

Dasgupta, Dipankar; Ali, Mohammad Hassan; Abercrombie, Robert K

2011-01-01

In this paper, we examine the biological immune system as an autonomic system for self-protection, which has evolved over millions of years probably through extensive redesigning, testing, tuning and optimization process. The powerful information processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature provide rich metaphors for its artificial counterpart. Our study focuses on building an autonomic defense system, using some immunological metaphors for information gathering, analyzing, decision making and launching threat and attack responses. In order to detection Stuxnet like malware, we propose to include a secure VM (or dedicatedmore » host) to the SCADA Network to monitor behavior and all software updates. This on-going research effort is not to mimic the nature but to explore and learn valuable lessons useful for self-adaptive cyber defense systems.« less

The Best Kept Secret...Self-Initiated Change: Veteran Teachers' Catalyst for Renewal.

ERIC Educational Resources Information Center

Collinson, Vivienne; And Others

This paper reviews literature on teaching, learning, and change, focusing on change as a system for self-renewal and examining change in terms of long-term purposes, the risk of failure, self understanding, productive relationships, habits of thinking, and curiosity. The paper presents results from a synthesis of two qualitative case studies of…

Is Learner Self-Assessment Reliable and Valid in a Web-Based Portfolio Environment for High School Students?

ERIC Educational Resources Information Center

Chang, Chi-Cheng; Liang, Chaoyun; Chen, Yi-Hui

2013-01-01

This study explored the reliability and validity of Web-based portfolio self-assessment. Participants were 72 senior high school students enrolled in a computer application course. The students created learning portfolios, viewed peers' work, and performed self-assessment on the Web-based portfolio assessment system. The results indicated: 1)…

Apprentissage auto-dirige: Quand les chiffres parlent (Self-Directed Learning: Figures Speak for Themselves).

ERIC Educational Resources Information Center

Abe, Daniele; Gremmo, Marie-Jose

The functioning of the semi-autonomous learning system (SAAS) at the Centre de Recherches et d'Applications Pedagogiques en Langues (CRAPEL) was surveyed for the academic year 1980-81. Detailed data were collected about learners' aims, language level, and their assessment of the SAAS, as well as about the way they actually used the system. This…

Self-Entrustment: How Trainees' Self-Regulated Learning Supports Participation in the Workplace

ERIC Educational Resources Information Center

Sagasser, Margaretha H.; Kramer, Anneke W. M.; Fluit, Cornelia R. M. G.; van Weel, Chris; van der Vleuten, Cees P. M.

2017-01-01

Clinical workplaces offer postgraduate trainees a wealth of opportunities to learn from experience. To promote deliberate and meaningful learning self-regulated learning skills are foundational. We explored trainees' learning activities related to patient encounters to better understand what aspects of self-regulated learning contribute to…

Effect of reinforcement learning on coordination of multiangent systems

NASA Astrophysics Data System (ADS)

Bukkapatnam, Satish T. S.; Gao, Greg

2000-12-01

For effective coordination of distributed environments involving multiagent systems, learning ability of each agent in the environment plays a crucial role. In this paper, we develop a simple group learning method based on reinforcement, and study its effect on coordination through application to a supply chain procurement scenario involving a computer manufacturer. Here, all parties are represented by self-interested, autonomous agents, each capable of performing specific simple tasks. They negotiate with each other to perform complex tasks and thus coordinate supply chain procurement. Reinforcement learning is intended to enable each agent to reach a best negotiable price within a shortest possible time. Our simulations of the application scenario under different learning strategies reveals the positive effects of reinforcement learning on an agent's as well as the system's performance.

The Nature of Self-Directed Learning and Transformational Learning in Self-Managing Bipolar Disorder to Stay Well

ERIC Educational Resources Information Center

Francik, Wendy A.

2012-01-01

The purpose of the research was to explore the self-directed learning and transformational learning experiences among persons with bipolar disorder. A review of previous research pointed out how personal experiences with self-directed learning and transformational learning facilitated individuals' learning to manage HIV, Methicillan-resitant…

Self-regulatory Behaviors and Approaches to Learning of Arts Students: A Comparison Between Professional Training and English Learning.

PubMed

Tseng, Min-Chen; Chen, Chia-Cheng

2017-06-01

This study investigated the self-regulatory behaviors of arts students, namely memory strategy, goal-setting, self-evaluation, seeking assistance, environmental structuring, learning responsibility, and planning and organizing. We also explored approaches to learning, including deep approach (DA) and surface approach (SA), in a comparison between students' professional training and English learning. The participants consisted of 344 arts majors. The Academic Self-Regulation Questionnaire and the Revised Learning Process Questionnaire were adopted to examine students' self-regulatory behaviors and their approaches to learning. The results show that a positive and significant correlation was found in students' self-regulatory behaviors between professional training and English learning. The results indicated that increases in using self-regulatory behaviors in professional training were associated with increases in applying self-regulatory behaviors in learning English. Seeking assistance, self-evaluation, and planning and organizing were significant predictors for learning English. In addition, arts students used the deep approach more often than the surface approach in both their professional training and English learning. A positive correlation was found in DA, whereas a negative correlation was shown in SA between students' self-regulatory behaviors and their approaches to learning. Students with high self-regulation adopted a deep approach, and they applied the surface approach less in professional training and English learning. In addition, a SEM model confirmed that DA had a positive influence; however, SA had a negative influence on self-regulatory behaviors.

From Self-Regulation to Learning to Learn: Observations on the Construction of Self and Learning

ERIC Educational Resources Information Center

Thoutenhoofd, Ernst D.; Pirrie, Anne

2015-01-01

The purpose of this article is to clarify the epistemological basis of self-regulated learning. The authors note that learning to learn, a term that has pervaded education policy at EU and national levels in recent years is often conflated with self-regulated learning. As a result, there has been insufficient attention paid to learning as social…

[Relationship between self-directed learning with learning styles and strategies in medical students].

PubMed

Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

2014-11-01

Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.

A meta-analysis of self-regulated learning in work-related training and educational attainment: what we know and where we need to go.

PubMed

Sitzmann, Traci; Ely, Katherine

2011-05-01

Researchers have been applying their knowledge of goal-oriented behavior to the self-regulated learning domain for more than 30 years. This review examines the current state of research on self-regulated learning and gaps in the field's understanding of how adults regulate their learning of work-related knowledge and skills. Self-regulation theory was used as a conceptual lens for deriving a heuristic framework of 16 fundamental constructs that constitute self-regulated learning. Meta-analytic findings (k=430, N=90,380) support theoretical propositions that self-regulation constructs are interrelated-30% of the corrected correlations among constructs were .50 or greater. Goal level, persistence, effort, and self-efficacy were the self-regulation constructs with the strongest effects on learning. Together these constructs accounted for 17% of the variance in learning, after controlling for cognitive ability and pretraining knowledge. However, 4 self-regulatory processes-planning, monitoring, help seeking, and emotion control-did not exhibit significant relationships with learning. Thus, a parsimonious framework of the self-regulated learning domain is presented that focuses on a subset of self-regulatory processes that have both limited overlap with other core processes and meaningful effects on learning. Research is needed to advance the field's understanding of how adults regulate their learning in an increasingly complex and knowledge-centric work environment. Such investigations should capture the dynamic nature of self-regulated learning, address the role of self-regulation in informal learning, and investigate how trainees regulate their transfer of training. © 2011 American Psychological Association

Goal-directed, habitual and Pavlovian prosocial behavior

PubMed Central

Gęsiarz, Filip; Crockett, Molly J.

2015-01-01

Although prosocial behaviors have been widely studied across disciplines, the mechanisms underlying them are not fully understood. Evidence from psychology, biology and economics suggests that prosocial behaviors can be driven by a variety of seemingly opposing factors: altruism or egoism, intuition or deliberation, inborn instincts or learned dispositions, and utility derived from actions or their outcomes. Here we propose a framework inspired by research on reinforcement learning and decision making that links these processes and explains characteristics of prosocial behaviors in different contexts. More specifically, we suggest that prosocial behaviors inherit features of up to three decision-making systems employed to choose between self- and other- regarding acts: a goal-directed system that selects actions based on their predicted consequences, a habitual system that selects actions based on their reinforcement history, and a Pavlovian system that emits reflexive responses based on evolutionarily prescribed priors. This framework, initially described in the field of cognitive neuroscience and machine learning, provides insight into the potential neural circuits and computations shaping prosocial behaviors. Furthermore, it identifies specific conditions in which each of these three systems should dominate and promote other- or self- regarding behavior. PMID:26074797

A smart-pixel holographic competitive learning network

NASA Astrophysics Data System (ADS)

Slagle, Timothy Michael

Neural networks are adaptive classifiers which modify their decision boundaries based on feedback from externally- or internally-generated error signals. Optics is an attractive technology for neural network implementation because it offers the possibility of parallel, nearly instantaneous computation of the weighted neuron inputs by the propagation of light through the optical system. Using current optical device technology, system performance levels of 3 × 1011 connection updates per second can be achieved. This thesis presents an architecture for an optical competitive learning network which offers advantages over previous optical implementations, including smart-pixel-based optical neurons, phase- conjugate self-alignment of a single neuron plane, and high-density, parallel-access weight storage, interconnection, and learning in a volume hologram. The competitive learning algorithm with modifications for optical implementation is described, and algorithm simulations are performed for an example problem. The optical competitive learning architecture is then introduced. The optical system is simulated using the ``beamprop'' algorithm at the level of light propagating through the system components, and results showing competitive learning operation in agreement with the algorithm simulations are presented. The optical competitive learning requires a non-linear, non-local ``winner-take-all'' (WTA) neuron function. Custom-designed smart-pixel WTA neuron arrays were fabricated using CMOS VLSI/liquid crystal technology. Results of laboratory tests of the WTA arrays' switching characteristics, time response, and uniformity are then presented. The system uses a phase-conjugate mirror to write the self-aligning interconnection weight holograms, and energy gain is required from the reflection to minimize erasure of the existing weights. An experimental system for characterizing the PCM response is described. Useful gains of 20 were obtained with a polarization-multiplexed PCM readout, and gains of up to 60 were observed when a time-sequential read-out technique was used. Finally, the optical competitive learning laboratory system is described, including some necessary modifications to the previous architectures, and the data acquisition and control system developed for the system. Experimental results showing phase conjugation of the WTA outputs, holographic interconnect storage, associative storage between input images and WTA neuron outputs, and WTA array switching are presented, demonstrating the functions necessary for the operation of the optical learning system.

Self-teaching neural network learns difficult reactor control problem

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

Jouse, W.C.

1989-01-01

A self-teaching neural network used as an adaptive controller quickly learns to control an unstable reactor configuration. The network models the behavior of a human operator. It is trained by allowing it to operate the reactivity control impulsively. It is punished whenever either the power or fuel temperature stray outside technical limits. Using a simple paradigm, the network constructs an internal representation of the punishment and of the reactor system. The reactor is constrained to small power orbits.

Use of individualized learning plans among fourth-year sub-interns in pediatrics and internal medicine.

PubMed

Shepard, Michelle E; Sastre, Elizabeth A; Davidson, Mario A; Fleming, Amy E

2012-01-01

Individualized Learning Plans (ILPs) are an effective tool for promoting self-directed learning among residents. However, no literature details ILP use among medical students. Fifty fourth-year sub-interns in pediatrics and internal medicine created ILPs, including a self-assessment of strengths and weaknesses based on ACGME core competencies and the setting of learning objectives. During weekly follow-up meetings with faculty mentors and peers, students discussed challenges and revised goals. Upon completion of the rotation, students completed a survey of Likert-scale questions addressing satisfaction with and perceived utility of ILP components. Students most often self-identified strengths in the areas of Professionalism and Interpersonal and Communication Skills and weaknesses in Patient Care and Systems-Based Practice. Eighty-two percent set at least one learning objective in an identified area of weakness. Students expressed high confidence in their abilities to create achievable learning objectives and to generate strategies to meet those objectives. Students agreed that discussions during group meetings were meaningful, and they identified the setting learning objectives and weekly meetings as the most important elements of the exercise. Fourth-year sub-interns reported that ILPs helped them to accomplish rotation goals, with the setting of learning objectives and weekly discussions being the most useful elements.

Self-Directed Learning: Application and Research.

ERIC Educational Resources Information Center

Long, Huey B.; And Others

These 23 papers provide as complete a picture as possible of the current efforts in self-directed learning application and research. The papers are: "Learning about Self-Directed Learning" (Long); "Philosophical, Psychological, and Practical Justifications for Studying Self-Direction in Learning" (Long); "In Search of…

Emotional Intelligence and Self-Directed Learning Readiness among College Students Participating in a Leadership Development Program

ERIC Educational Resources Information Center

Radnitzer, Karl David

2010-01-01

The purpose of this study was to investigate possible relationships between self-directed learning readiness and emotional intelligence in a leadership development program and if self-directed learning leads to greater self-directed learning capabilities. Prior research has examined self-directed learning and emotional intelligence but never have…

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.

Investigating the Relationship Between Self-Directed Learning Readiness and Time Management Skills in Turkish Undergraduate Nursing Students.

PubMed

Ertuğ, Nurcan; Faydali, Saide

The aims of this study were to determine self-directed learning and time management skills of undergraduate nursing students and to investigate the relationship between the concepts. The use of self-directed learning has increased as an educational strategy in recent years. This descriptive and correlational study was conducted with 383 undergraduate nursing students in Turkey. Data were collected using a sociodemographic questionnaire, the Self-Directed Learning Readiness Scale, and Time Management Questionnaire. Mean scores were as follows: self-directed learning readiness, 159.12 (SD = 20.8); time management, 87.75 (SD = 12.1). A moderate positive correlation was found between self-directed learning readiness and time management values. Time management scores were 78.42 when self-directed learning readiness was ≤149 and 90.82 when self-directed learning readiness was ≥ 150, with a statistically significant difference (p = .000). Level of self-directed learning and academic achievement were higher in students who managed their time well.

Self-other relations in social development and autism: multiple roles for mirror neurons and other brain bases.

PubMed

Williams, Justin H G

2008-04-01

Mirror neuron system dysfunction may underlie a self-other matching impairment, which has previously been suggested to account for autism. Embodied Cognition Theory, which proposes that action provides a foundation for cognition has lent further credence to these ideas. The hypotheses of a self-other matching deficit and impaired mirror neuron function in autism have now been well supported by studies employing a range of methodologies. However, underlying mechanisms require further exploration to explain how mirror neurons may be involved in attentional and mentalizing processes. Impairments in self-other matching and mirror neuron function are not necessarily inextricably linked and it seems possible that different sub-populations of mirror neurons, located in several regions, contribute differentially to social cognitive functions. It is hypothesized that mirror neuron coding for action-direction may be required for developing attentional sensitivity to self-directed actions, and consequently for person-oriented, stimulus-driven attention. Mirror neuron networks may vary for different types of social learning such as "automatic" imitation and imitation learning. Imitation learning may be more reliant on self-other comparison processes (based on mirror neurons) that identify differences as well as similarities between actions. Differential connectivity with the amygdala-orbitofrontal system may also be important. This could have implications for developing "theory of mind," with intentional self-other comparison being relevant to meta-representational abilities, and "automatic" imitation being more relevant to empathy. While it seems clear that autism is associated with impaired development of embodied aspects of cognition, the ways that mirror neurons contribute to these brain-behavior links are likely to be complex.

Developmental Characteristics of Middle Schoolers and Middle School Organization.

ERIC Educational Resources Information Center

Thornburg, Hershel D.

1981-01-01

The social and interpersonal characteristics of early adolescents are described in relation to puberty and the physical and emotional changes that are experienced by the preteen. Learning characteristics for this age group include problem-solving strategies, self-directed learning, and emerging value systems. (JN)

SCADA-based Operator Support System for Power Plant Equipment Fault Forecasting

NASA Astrophysics Data System (ADS)

Mayadevi, N.; Ushakumari, S. S.; Vinodchandra, S. S.

2014-12-01

Power plant equipment must be monitored closely to prevent failures from disrupting plant availability. Online monitoring technology integrated with hybrid forecasting techniques can be used to prevent plant equipment faults. A self learning rule-based expert system is proposed in this paper for fault forecasting in power plants controlled by supervisory control and data acquisition (SCADA) system. Self-learning utilizes associative data mining algorithms on the SCADA history database to form new rules that can dynamically update the knowledge base of the rule-based expert system. In this study, a number of popular associative learning algorithms are considered for rule formation. Data mining results show that the Tertius algorithm is best suited for developing a learning engine for power plants. For real-time monitoring of the plant condition, graphical models are constructed by K-means clustering. To build a time-series forecasting model, a multi layer preceptron (MLP) is used. Once created, the models are updated in the model library to provide an adaptive environment for the proposed system. Graphical user interface (GUI) illustrates the variation of all sensor values affecting a particular alarm/fault, as well as the step-by-step procedure for avoiding critical situations and consequent plant shutdown. The forecasting performance is evaluated by computing the mean absolute error and root mean square error of the predictions.

Developing the Self-Directed Learning Instructional Model to Enhance English Reading Ability and Self-Directed Learning of Undergraduate Students

ERIC Educational Resources Information Center

Wichadee, Saovapa

2011-01-01

The purposes of this study were to develop the instructional model for enhancing self-directed learning skills of Bangkok University students, study the impacts of the model on their English reading comprehension and self-directed learning ability as well as explore their opinion towards self-directed learning. The model development process…

Machine learning assembly landscapes from particle tracking data.

PubMed

Long, Andrew W; Zhang, Jie; Granick, Steve; Ferguson, Andrew L

2015-11-07

Bottom-up self-assembly offers a powerful route for the fabrication of novel structural and functional materials. Rational engineering of self-assembling systems requires understanding of the accessible aggregation states and the structural assembly pathways. In this work, we apply nonlinear machine learning to experimental particle tracking data to infer low-dimensional assembly landscapes mapping the morphology, stability, and assembly pathways of accessible aggregates as a function of experimental conditions. To the best of our knowledge, this represents the first time that collective order parameters and assembly landscapes have been inferred directly from experimental data. We apply this technique to the nonequilibrium self-assembly of metallodielectric Janus colloids in an oscillating electric field, and quantify the impact of field strength, oscillation frequency, and salt concentration on the dominant assembly pathways and terminal aggregates. This combined computational and experimental framework furnishes new understanding of self-assembling systems, and quantitatively informs rational engineering of experimental conditions to drive assembly along desired aggregation pathways.

The Impact of an Online Learning Community Project on University Chinese as a Foreign Language Students' Motivation

ERIC Educational Resources Information Center

Cai, Shengrong; Zhu, Wei

2012-01-01

This study investigated the impact of an online learning community project on university students' motivation in learning Chinese as a foreign language. A newly proposed second language (L2) motivation theory--the L2 motivational self system (Dornyei, 2005, 2009)--guided this study. A concurrent transformative mixed-methods design was employed to…

Learning Resource Center at the Baraboo Campus of the University of Wisconsin Center System.

ERIC Educational Resources Information Center

Umhoefer, Aural

The Learning Resource Center (LRC) at the Baraboo campus of the University of Wisconsin was designed to be an integral part of the teaching program, and to embody the multimedia approach to individual self-paced learning by using the most appropriate medium or combination of media for a given instructional situation. The collection includes books,…

Action Control, L2 Motivational Self System, and Motivated Learning Behavior in a Foreign Language Learning Context

ERIC Educational Resources Information Center

Khany, Reza; Amiri, Majid

2018-01-01

Theoretical developments in second or foreign language motivation research have led to a better understanding of the convoluted nature of motivation in the process of language acquisition. Among these theories, action control theory has recently shown a good deal of explanatory power in second language learning contexts and in the presence of…

Bridging the gap between self-directed learning of nurse educators and effective student support.

PubMed

Van Rensburg, Gisela H; Botma, Yvonne

2015-11-26

Self-directed learning requires the ability to identify one's own learning needs, develop and implement a plan to gain knowledge and to monitor one's own progress. A lifelong learning approach cannot be forced, since it is in essence an internally driven process. Nurse educators can, however, act as role models to empower their students to become independent learners by modelling their own self-directed learning and applying a number of techniques in supporting their students in becoming ready for self-directed learning.  The aim of the article is to describe the manifestations and implications of the gap between self-directed learning readiness of nurse educators and educational trends in supporting students.  An instrumental case study design was used to gain insight into the manifestations and implications of self-directed learning of nurse educators. Based on the authentic foci of various critical incidents and literature, data were collected and constructed into a fictitious case. The authors then deductively analysed the case by using the literature on self-directed learning readiness as departure point. Four constructs of self-directed learning were identified, namely internal motivation, planning and implementation, self-monitoring and interpersonal communication. Supportive strategies were identified from the available literature.  Nine responses by nurse educators based on the fictitious case were analysed.Analysis showed that readiness for self-directed learning in terms of the identified constructswas interrelated and not mutually exclusive of one other.  The success of lifelong learning is the ability to engage in self-directed learning which requires openness to learning opportunities, good self-concept, taking initiative and illustrating independence in learning. Conscientiousness, an informed acceptance of a responsibility for one's own learning and creativity, is vital to one's future orientation towards goal-directed learning. Knowledge and understanding of one's own and students' selfdirected learning abilities are critical for nurse educators. In the nursing profession, it has been shown that self-directed learning by the nurse educators has a direct relationship towards the development of a lifelong learning approach by their students. Supporting students towards becoming self-directed learners throughout their professional life, in turn, will impact directly on the quality of nursing and midwifery practice. (Article to follow).

Intelligent control based on fuzzy logic and neural net theory

NASA Technical Reports Server (NTRS)

Lee, Chuen-Chien

1991-01-01

In the conception and design of intelligent systems, one promising direction involves the use of fuzzy logic and neural network theory to enhance such systems' capability to learn from experience and adapt to changes in an environment of uncertainty and imprecision. Here, an intelligent control scheme is explored by integrating these multidisciplinary techniques. A self-learning system is proposed as an intelligent controller for dynamical processes, employing a control policy which evolves and improves automatically. One key component of the intelligent system is a fuzzy logic-based system which emulates human decision making behavior. It is shown that the system can solve a fairly difficult control learning problem. Simulation results demonstrate that improved learning performance can be achieved in relation to previously described systems employing bang-bang control. The proposed system is relatively insensitive to variations in the parameters of the system environment.

An approach to children's smoking behavior using social cognitive learning theory.

PubMed

Bektas, Murat; Ozturk, Candan; Armstrong, Merry

2010-01-01

This review article discusses the theoretical principles of social cognitive learning theory and children's risk-taking behavior of cigarette smoking, along with preventive initiatives. Social cognitive learning theorists examine the behavior of initiating and sustained smoking using a social systems approach. The authors discuss the reciprocal determinism aspect of the theory as applied to the importance of individual factors, and environment and behavioral interactions that influence smoking behavior. Included is the concept of vicarious capability that suggests that smoking behavior is determined in response to and interaction with feedback provided by the environment. The principle of self-regulatory capability asserts that people have control over their own behavior and thus that behavior change is possible. The principle of self-efficacy proposes that high level of self-efficacy of an individual may decrease the behavior of attempting to or continuing to smoke. Examples of initiatives to be undertaken in order to prevent smoking in accordance with social cognitive learning theory are presented at the end of each principle.

The Effect of the Metacognitive Support via Pedagogical Agent on Self-Regulation Skills

ERIC Educational Resources Information Center

Karaoglan Yilmaz, Fatma Gizem; Olpak, Yusuf Ziya; Yilmaz, Ramazan

2018-01-01

Flipped Classroom (FC) has become an increasingly popular model in many disciplines in today's educational system. In order for the FC model to be effective, it is important for the student to have self-regulation skills. It is especially important that students have advanced self-regulatory skills so that the online learning process of the FC…

Effects of team-based learning on self-regulated online learning.

PubMed

Whittaker, Alice A

2015-04-10

Online learning requires higher levels of self-regulation in order to achieve optimal learning outcomes. As nursing education moves further into the blended and online learning venue, new teaching/learning strategies will be required to develop and enhance self-regulated learning skills in nursing students. The purpose of this study was to compare the effectiveness of team-based learning (TBL) with traditional instructor-led (IL) learning, on self-regulated online learning outcomes, in a blended undergraduate research and evidence-based practice course. The nonrandomized sample consisted of 98 students enrolled in the IL control group and 86 students enrolled in the TBL intervention group. The percentage of total possible online viewing time was used as the measure of self-regulated online learning activity. The TBL group demonstrated a significantly higher percentage (p < 0.001) of self-regulated learning activities than the IL control group. The TBL group scored significantly higher on the course examinations (p = 0.003). The findings indicate that TBL is an effective instructional strategy that can be used to achieve the essential outcomes of baccalaureate nursing education by increasing self-regulated learning capabilities in nursing students.

[Association between self-directed learning behaviors, socio-demographic and academic variables among medical students].

PubMed

Fasce H, Eduardo; Ortega B, Javiera; Pérez V, Cristhian; Márquez U, Carolina; Parra P, Paula; Ortiz M, Liliana; Matus, Olga

2013-09-01

Medical education must encourage autonomous learning behaviors among students. However the great income profile disparity among university students may influence their capacity to acquire such skills. To assess the association between self-directed learning, socio-demographic and academic variables. The self-directed learning readiness scale was applied to 202 medical students aged between 17 and 25 years (64% males). Simultaneously information about each surveyed participant was obtained from the databases of the medical school. There is an association between socio-demographic and academic variables with the general scale of self-directed learning and the subscales learning planning and willingness to learn. Participants coming from municipal schools have a greater willingness to learn than their counterparts coming from subsidized and private schools. High school grades are related to self-directed learning and the subscales learning planning and self-assessment. Among the surveyed medical students, there is a relationship between self-directed learning behaviors, the type of school where they come from and the grades that they obtained during high school.

Lifelong learning of human actions with deep neural network self-organization.

PubMed

Parisi, German I; Tani, Jun; Weber, Cornelius; Wermter, Stefan

2017-12-01

Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather learn a batch of training data with a predefined number of action classes and samples. Thus, there is the need to develop learning systems with the ability to incrementally process available perceptual cues and to adapt their responses over time. We propose a self-organizing neural architecture for incrementally learning to classify human actions from video sequences. The architecture comprises growing self-organizing networks equipped with recurrent neurons for processing time-varying patterns. We use a set of hierarchically arranged recurrent networks for the unsupervised learning of action representations with increasingly large spatiotemporal receptive fields. Lifelong learning is achieved in terms of prediction-driven neural dynamics in which the growth and the adaptation of the recurrent networks are driven by their capability to reconstruct temporally ordered input sequences. Experimental results on a classification task using two action benchmark datasets show that our model is competitive with state-of-the-art methods for batch learning also when a significant number of sample labels are missing or corrupted during training sessions. Additional experiments show the ability of our model to adapt to non-stationary input avoiding catastrophic interference. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

A New Tool for Managing Students' Self-Evaluations in Traditional and Distance Education Courses.

ERIC Educational Resources Information Center

Contreras-Castillo, Juan; Block, Arthur Edwards

This paper describes a Web-based question-answering system called E-teacher that can be used in both traditional and distance learning courses to review academic contents. E-teacher is a self-editing template-based system that consists of a set of PHP scripts that generate the HTML code dynamically, or "on the fly." The entire E-teacher…

ACAS-Xu Initial Self-Separation Flight Tests

NASA Technical Reports Server (NTRS)

Marston, Mike; Baca, Gabe

2015-01-01

The purpose of this flight test report is to document and report the details of the ACAS Xu (Airborne Collision Avoidance System For Unmanned Aircraft) / Self-Separation flight test series performed at Edwards AFB from November to December of 2014. Included in this document are details about participating aircraft, aircrew, mission crew, system configurations, flight data, flight execution, flight summary, test results, and lessons learned.

Suitable Learning Styles for Intelligent Tutoring Technologies (Styles d’Apprentissage Appropries pour les Technologies Tuteurs Intelligents)

DTIC Science & Technology

2010-05-01

mind, (ii) forms of mental self-government, and (iii) stylistic preferences. Importantly, Sternberg does not think that cognitive style...summarizes a study examining suitable cognitive and learning styles for intelligent tutoring technologies to improve the Canadian Forces (CF) distance...are the appropriate tool to address CF learning needs, as e-learning systems: • Cater to all individuals in the CF regardless of their cognitive or

Indirect adaptive fuzzy wavelet neural network with self- recurrent consequent part for AC servo system.

PubMed

Hou, Runmin; Wang, Li; Gao, Qiang; Hou, Yuanglong; Wang, Chao

2017-09-01

This paper proposes a novel indirect adaptive fuzzy wavelet neural network (IAFWNN) to control the nonlinearity, wide variations in loads, time-variation and uncertain disturbance of the ac servo system. In the proposed approach, the self-recurrent wavelet neural network (SRWNN) is employed to construct an adaptive self-recurrent consequent part for each fuzzy rule of TSK fuzzy model. For the IAFWNN controller, the online learning algorithm is based on back propagation (BP) algorithm. Moreover, an improved particle swarm optimization (IPSO) is used to adapt the learning rate. The aid of an adaptive SRWNN identifier offers the real-time gradient information to the adaptive fuzzy wavelet neural controller to overcome the impact of parameter variations, load disturbances and other uncertainties effectively, and has a good dynamic. The asymptotical stability of the system is guaranteed by using the Lyapunov method. The result of the simulation and the prototype test prove that the proposed are effective and suitable. Copyright © 2017. Published by Elsevier Ltd.

Examination of the Relationship between Self-Directedness and Outcomes of the Online COP Training Program in the Turkish National Police Context

ERIC Educational Resources Information Center

Halicioglu, Mustafa Bulent

2010-01-01

It is widely accepted that online learning is a self-directed learning environment and the participants need to have self-direction in learning. However, there is lack of empirical studies focusing on the relationship between online learning and self-directed learning and examining the relationship between self-directedness of learners and…

Sexual learning, sexual experience, and healthy adolescent sex.

PubMed

Fortenberry, J Dennis

2014-01-01

This chapter is organized around the question "How do adolescents learn to have healthy sex?" The chapter assumes that sexual learning derives from a broad range of both informal and formal sources that contribute to learning within the context of neurocognitive brain systems that modulate sexual motivations and self-regulation. The overall objective is to consider how adolescents become sexually functional and healthy and to provide a conceptual basis for expansion of sexual learning to better support healthy sexual functioning. © 2014 Wiley Periodicals, Inc.

Distance Learning--Predictions and Possibilities

ERIC Educational Resources Information Center

Traxler, John

2018-01-01

Education systems, educational institutions and educational professions, including those of distance learning, can often be inward-looking, backward-looking and self-referential, meaning that they are often fixated on their own concerns, values and processes. In many respects, this is necessary and valuable but the topic of challenges and future…

The Effect of an Adaptive Online Learning Support in an Undergraduate Computer Course: An Exploration of Self-Regulation in Blended Contexts

ERIC Educational Resources Information Center

Ko, Chia-Yin

2013-01-01

In accordance with Zimmerman's self-regulated learning model, the proposed online learning tool in the current study was designed to support students in learning a challenging subject. The Self-Check List, Formative Self-Assessment, and Structured Online Discussion served goal-setting, self-monitoring, and self-reflective purposes. The…

Assessing readiness for self-directed learning within a non-traditional nursing cohort.

PubMed

Phillips, Brian N; Turnbull, Beverley J; He, Flora X

2015-03-01

Increasing deregulation of the Australian tertiary system has led to changes in entry behaviours anticipated in non-traditional student cohorts. Many nursing students are returning to formal studies later in their lives seeking a career change. Accessibility and flexible study paths make external study increasingly attractive. However external studies require a level of commitment and willingness to develop self-direction and a capacity for resilience. This study sought to elicit the level of self-directed learning readiness (SDLR) among undergraduate nursing students currently enrolled at a bachelor level, and to elicit what differences existed in the levels of SDLR in relation to age, gender, academic year, and previous qualifications. An online survey questionnaire was utilised based on the Self-directed Learning Readiness Scale for Nursing Education. In contrast to earlier work, the participant profile in this study was predominantly non-traditional and captured participants from all three years of the nursing programme. Results found no significant age or gender differences. First year students demonstrated lower levels of self-directed learning readiness. However, unexpected results were demonstrated in the survey subscales in relation to previous qualifications. Participants who already held post-graduate qualifications showed lower scores for Self-Management than those who held diploma qualifications, while students who already held a bachelor's degree had the highest scores in Desire for Learning. The study findings suggest that universities should not assume that SDL capability is dependent on mature age or length of exposure to tertiary study. Copyright © 2014 Elsevier Ltd. All rights reserved.

The effectiveness of collaborative problem based physics learning (CPBPL) model to improve student’s self-confidence on physics learning

NASA Astrophysics Data System (ADS)

Prahani, B. K.; Suprapto, N.; Suliyanah; Lestari, N. A.; Jauhariyah, M. N. R.; Admoko, S.; Wahyuni, S.

2018-03-01

In the previous research, Collaborative Problem Based Physic Learning (CPBPL) model has been developed to improve student’s science process skills, collaborative problem solving, and self-confidence on physics learning. This research is aimed to analyze the effectiveness of CPBPL model towards the improvement of student’s self-confidence on physics learning. This research implemented quasi experimental design on 140 senior high school students who were divided into 4 groups. Data collection was conducted through questionnaire, observation, and interview. Self-confidence measurement was conducted through Self-Confidence Evaluation Sheet (SCES). The data was analyzed using Wilcoxon test, n-gain, and Kruskal Wallis test. Result shows that: (1) There is a significant score improvement on student’s self-confidence on physics learning (α=5%), (2) n-gain value student’s self-confidence on physics learning is high, and (3) n-gain average student’s self-confidence on physics learning was consistent throughout all groups. It can be concluded that CPBPL model is effective to improve student’s self-confidence on physics learning.

A 'learning-by-doing' treatment planning tutorial for medical physicists.

PubMed

Meyer, J; Hartmann, B; Kalet, I

2009-06-01

A framework for a tutorial for treatment planning in radiation oncology physics was developed, based on the University of Washington treatment planning system Prism. The tutorial is aimed at students in Medical Physics to accompany the lectures on treatment planning to enhance their theoretical knowledge. A web-based layout was chosen to allow independent work of the students. The tutorial guides the students through three different learning modules, designed mainly to enhance their understanding of the processes involved in treatment planning but also to learn the specific features of a modern treatment planning system. Each of the modules contains four units, with the aim to introduce the relevant Prism features, practice skills in different tasks and finally check the learning outcomes with a challenge and a self-scoring quiz. A survey for students' feedback completes the tutorial. Various tools and learning methods help to create an interactive, appealing learning environment, in which the emphasis is shifted from teacher-centred to student-centred learning paradigms. In summary, Prism lends itself well for educational purposes. The tutorial covers all main aspects of treatment planning. In its current form the tutorial is self-contained but still adjustable and expandable. The tutorial can be made available upon request to the authors.

The use of Twitter to facilitate engagement and reflection in a constructionist learning environment.

PubMed

Desselle, Shane P

Determine students' self-reported use of Twitter in a health systems course and gauge their perceptions of its value and utility for self-guided supplementation of course material, and evaluate the quality of students' reflections from information they found on Twitter. Students in a health systems course create a Twitter account to remain abreast of current developments in pharmacy and health systems. They were afforded the autonomy to follow organizations/individuals they chose and write reflective mini-papers on selected tweets from their Twitter feed prior to each course session. A self-administered survey solicited students' favor toward various aspects of the Twitter reflection assignment. An examination of students' reflections as the course progressed was also undertaken. Approximately 2/3 of the students enrolled in the course responded to the survey. Student perceptions of the Twitter assignment were quite favorable, with highest favor related to facets regarding the construction of their own learning and continuation of engagement throughout the course. Responses to open-ended questions corroborated students' perceptions of their own learning, as did the content and quality of their reflections during progression of the course. The course design reinforced previous claims outside of pharmacy that Twitter can be a useful tool to reinforce or create new learning paradigms, but especially under the auspices of established theory, such as a constructivist environment employing constructionism pedagogy. A course like health systems in programs of academic pharmacy might especially benefit from use of Twitter and such course design. Copyright © 2017 Elsevier Inc. All rights reserved.

Self-Regulated Learning Ability of Chinese Distance Learners

ERIC Educational Resources Information Center

Zhao, Hong; Chen, Li; Panda, Santosh

2014-01-01

This study reports on self-regulated learning (SRL) of Chinese distance learners by using a structured SRL scale. SRL of adult and lifelong learners is a well-researched area, though its application within distance education is a new area of investigation. Open and distance learning lean heavily on self-learning and self-learning resources, though…

Analysis of Self-Directed Learning upon Student of Mathematics Education Study Program

ERIC Educational Resources Information Center

Kleden, Maria Agustina

2015-01-01

Various studies have rendered self-directed learning disposition to be significant in the learning of mathematics, however several previous studies have pointed the level of self-directed learning disposition to be at a low point. This research is aimed to enhance self-directed learning through implementing a metacognitive strategy in learning…

College Students' Motivation and Learning Strategies Profiles and Academic Achievement: A Self-Determination Theory Approach

ERIC Educational Resources Information Center

Liu, Woon Chia; Wang, Chee Keng John; Kee, Ying Hwa; Koh, Caroline; Lim, Boon San Coral; Chua, Lilian

2014-01-01

The development of effective self-regulated learning strategies is of interest to educationalists. In this paper, we examine inherent individual difference in self-regulated learning based on Motivated Learning for Learning Questionnaire (MLSQ) using the cluster analytic approach and examine cluster difference in terms of self-determination theory…

A Framework for Implementing Individualized Self-Regulated Learning Strategies in the Classroom

ERIC Educational Resources Information Center

Ness, Bryan M.; Middleton, Michael J.

2012-01-01

Self-regulated learning (SRL) is a conceptual model that can be used to design and implement individualized learning strategies for students with learning disabilities. Students who self-regulate their learning engage in planning, performance, and self-evaluation during academic tasks. This article highlights one approach for teaching SRL skills…

GP Supervisors' Experience in Supporting Self-Regulated Learning: A Balancing Act

ERIC Educational Resources Information Center

Sagasser, Margaretha H.; Kramer, Anneke W. M.; van Weel, Chris; van der Vleuten, Cees P. M.

2015-01-01

Self-regulated learning is essential for professional development and lifelong learning. As self-regulated learning has many inaccuracies, the need to support self-regulated learning has been recommended. Supervisors can provide such support. In a prior study trainees reported on the variation in received supervisor support. This study aims at…

Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial.

PubMed

Peine, Arne; Kabino, Klaus; Spreckelsen, Cord

2016-06-03

Modernised medical curricula in Germany (so called "reformed study programs") rely increasingly on alternative self-instructed learning forms such as e-learning and curriculum-guided self-study. However, there is a lack of evidence that these methods can outperform conventional teaching methods such as lectures and seminars. This study was conducted in order to compare extant traditional teaching methods with new instruction forms in terms of learning effect and student satisfaction. In a randomised trial, 244 students of medicine in their third academic year were assigned to one of four study branches representing self-instructed learning forms (e-learning and curriculum-based self-study) and instructed learning forms (lectures and seminars). All groups participated in their respective learning module with standardised materials and instructions. Learning effect was measured with pre-test and post-test multiple-choice questionnaires. Student satisfaction and learning style were examined via self-assessment. Of 244 initial participants, 223 completed the respective module and were included in the study. In the pre-test, the groups showed relatively homogenous scores. All students showed notable improvements compared with the pre-test results. Participants in the non-self-instructed learning groups reached scores of 14.71 (seminar) and 14.37 (lecture), while the groups of self-instructed learners reached higher scores with 17.23 (e-learning) and 15.81 (self-study). All groups improved significantly (p < .001) in the post-test regarding their self-assessment, led by the e-learning group, whose self-assessment improved by 2.36. The study shows that students in modern study curricula learn better through modern self-instructed methods than through conventional methods. These methods should be used more, as they also show good levels of student acceptance and higher scores in personal self-assessment of knowledge.

Effects of self-administered cocaine in adolescent and adult male rats on orbitofrontal cortex-related neurocognitive functioning

PubMed Central

Harvey, Roxann C.; Dembro, Kimberly A.; Rajagopalan, Kiran; Mutebi, Michael M.; Kantak, Kathleen M.

2010-01-01

Rationale Deficits in amygdala-related stimulus-reward learning are produced following 18 drug-free days of cocaine self-administration or its passive delivery in rats exposed during adulthood. No deficits in stimulus-reward learning are produced by cocaine exposure initiated during adolescence. Objectives To determine if age of initiating cocaine exposure differentially affects behavioral functioning of an additional memory system linked to cocaine addiction, the orbitofrontal cortex. Materials and methods A yoked-triad design (n=8) was used. One rat controlled cocaine delivery and the other two passively received cocaine or saline. Rats controlling drug delivery (1.0 mg/kg) self-administered cocaine from either P37–P59 or P77–P99, and then underwent 18 drug-free days (P60–P77 vs. P100–P117). Rats next were tested for acquisition of odor-delayed win-shift behavior conducted over 15 sessions (P78–P96 vs. P118–P136). Results Cocaine self-administration did not differ between adults and adolescents. During the test phase of the odor-delayed win-shift task (relatively difficult task demands), rats from both drug-onset ages showed learning deficits. Rats with cocaine self-administration experience committed more errors and had longer session latencies compared to rats passively receiving saline or cocaine. Rats with adolescent-onset cocaine self-administration experience showed an additional learning deficit by requiring more sessions to reach criterion levels for task acquisition compared to same-aged passive saline controls or rats with adult-onset cocaine self-administration experience. Rats passively receiving cocaine did not differ from the passive saline control from either age group. Conclusions Rats with adolescent-onset cocaine self-administration experience were more impaired in an orbitofrontal cortex-related learning task than rats with adult-onset cocaine self-administration experience. PMID:19513699

Web 2.0 systems supporting childhood chronic disease management: design guidelines based on information behaviour and social learning theories.

PubMed

Ekberg, Joakim; Ericson, Leni; Timpka, Toomas; Eriksson, Henrik; Nordfeldt, Sam; Hanberger, Lena; Ludvigsson, Johnny

2010-04-01

Self-directed learning denotes that the individual is in command of what should be learned and why it is important. In this study, guidelines for the design of Web 2.0 systems for supporting diabetic adolescents' every day learning needs are examined in light of theories about information behaviour and social learning. A Web 2.0 system was developed to support a community of practice and social learning structures were created to support building of relations between members on several levels in the community. The features of the system included access to participation in the culture of diabetes management practice, entry to information about the community and about what needs to be learned to be a full practitioner or respected member in the community, and free sharing of information, narratives and experience-based knowledge. After integration with the key elements derived from theories of information behaviour, a preliminary design guideline document was formulated.

High and Low Computer Self-Efficacy Groups and Their Learning Behavior from Self-Regulated Learning Perspective While Engaged in Interactive Learning Modules

ERIC Educational Resources Information Center

Santoso, Harry B.; Lawanto, Oenardi; Becker, Kurt; Fang, Ning; Reeve, Edward M.

2014-01-01

The purpose of this research was to investigate high school students' computer self-efficacy (CSE) and learning behavior in a self-regulated learning (SRL) framework while utilizing an interactive learning module. The researcher hypothesizes that CSE is reflected on cognitive actions and metacognitive strategies while the students are engaged with…

Brief report: learning via the electronic interactive whiteboard for two students with autism and a student with moderate intellectual disability.

PubMed

Yakubova, Gulnoza; Taber-Doughty, Teresa

2013-06-01

The effects of a multicomponent intervention (a self-operated video modeling and self-monitoring delivered via an electronic interactive whiteboard (IWB) and a system of least prompts) on skill acquisition and interaction behavior of two students with autism and one student with moderate intellectual disability were examined using a multi-probe across students design. Students were taught to operate and view video modeling clips, perform a chain of novel tasks and self-monitor task performance using a SMART Board IWB. Results support the effectiveness of a multicomponent intervention in improving students' skill acquisition. Results also highlight the use of this technology as a self-operated and interactive device rather than a traditional teacher-operated device to enhance students' active participation in learning.

Design and Implementation of a Smart LED Lighting System Using a Self Adaptive Weighted Data Fusion Algorithm

PubMed Central

Sung, Wen-Tsai; Lin, Jia-Syun

2013-01-01

This work aims to develop a smart LED lighting system, which is remotely controlled by Android apps via handheld devices, e.g., smartphones, tablets, and so forth. The status of energy use is reflected by readings displayed on a handheld device, and it is treated as a criterion in the lighting mode design of a system. A multimeter, a wireless light dimmer, an IR learning remote module, etc. are connected to a server by means of RS 232/485 and a human computer interface on a touch screen. The wireless data communication is designed to operate in compliance with the ZigBee standard, and signal processing on sensed data is made through a self adaptive weighted data fusion algorithm. A low variation in data fusion together with a high stability is experimentally demonstrated in this work. The wireless light dimmer as well as the IR learning remote module can be instructed directly by command given on the human computer interface, and the reading on a multimeter can be displayed thereon via the server. This proposed smart LED lighting system can be remotely controlled and self learning mode can be enabled by a single handheld device via WiFi transmission. Hence, this proposal is validated as an approach to power monitoring for home appliances, and is demonstrated as a digital home network in consideration of energy efficiency.

The association of academic burnout with self-efficacy and quality of learning experience among Iranian students.

PubMed

Charkhabi, Morteza; Azizi Abarghuei, Mohsen; Hayati, Davood

2013-01-01

The present study examines the relationship between academic burnout and quality of learning experience and self-efficacy among undergraduate students. The sample consisted of 233 undergraduate students (106 men and 127 women) who were selected by stratified random sampling method. The participants completed the Quality of Learning Experience Scale, Academic Burnout scale, and General Self-Efficacy scale. This study is particularly interesting in the context of Iran, known for its equality-striving and high-quality educational system. Iranian youth, compared with youth in many other countries, have a lower level of well-being. The antecedents of academic burnout are divided into two categories: internal and external variables. In most studies regarding to the issue, one category is used to predict the dependent variable. However, in this study we utilized both ones; self-efficacy was considered as internal and quality of learning experience was used as an external predictor. Correlation coefficients indicated that all relationships between academic burnout and its components with self-efficacy were statistically significant. Furthermore, academic burnout and all of its components had significant correlations with quality of learning experience. Also, the relationship between resources with emotional exhaustion and professor-student relationship with academic inefficacy were not significant. On the basis of the results, through our research, we will expand academic burnout literature by focusing on its external and internal antecedents. In addition, we conclude with theoretical and practical implications and propose a clear horizon for future researches.

Designing Learning Environments to Teach Interactive Quantum Physics

ERIC Educational Resources Information Center

Puente, Sonia M. Gomez; Swagten, Henk J. M.

2012-01-01

This study aims at describing and analysing systematically an interactive learning environment designed to teach Quantum Physics, a second-year physics course. The instructional design of Quantum Physics is a combination of interactive lectures (using audience response systems), tutorials and self-study in unit blocks, carried out with small…

Abstraction in Mathematics and Mathematics Learning

ERIC Educational Resources Information Center

Mitchelmore, Michael; White, Paul

2004-01-01

It is claimed that, since mathematics is essentially a self-contained system, mathematical objects may best be described as "abstract-apart." On the other hand, fundamental mathematical ideas are closely related to the real world and their learning involves empirical concepts. These concepts may be called "abstract-general" because they embody…

The Self-Systems: Facilitating Personal Well-Being Experiences at School

ERIC Educational Resources Information Center

Phan, Huy P.

2017-01-01

The focus of inquiry pertaining to quality learning and student well-being experiences at school has involved numerous studies, utilizing complex quantitative methodological approaches. In a similar vein, for consideration of research advancement, there has been extensive progress made regarding motivational tenets of effective learning and…

Sex Fairness in Career Guidance: A Learning Kit.

ERIC Educational Resources Information Center

Stebbins, Linda B.; And Others

This learning kit presents self-administered curriculum materials which can be used by counselors and counselor educators to aid in the elimination of sex-role stereotyping and sex bias in career choice. Curriculum materials are organized into four chapters: (1) "Orientation to Sex Fairness" introduces the dual role system, discusses traditional…

The sensorimotor and social sides of the architecture of speech.

PubMed

Pezzulo, Giovanni; Barca, Laura; D'Ausilio, Alessando

2014-12-01

Speech is a complex skill to master. In addition to sophisticated phono-articulatory abilities, speech acquisition requires neuronal systems configured for vocal learning, with adaptable sensorimotor maps that couple heard speech sounds with motor programs for speech production; imitation and self-imitation mechanisms that can train the sensorimotor maps to reproduce heard speech sounds; and a "pedagogical" learning environment that supports tutor learning.

The relationship between assessment methods and self-directed learning readiness in medical education.

PubMed

Monroe, Katherine S

2016-03-11

This research explored the assessment of self-directed learning readiness within the comprehensive evaluation of medical students' knowledge and skills and the extent to which several variables predicted participants' self-directed learning readiness prior to their graduation. Five metrics for evaluating medical students were considered in a multiple regression analysis. Fourth-year medical students at a competitive US medical school received an informed consent and an online survey. Participants voluntarily completed a self-directed learning readiness scale that assessed four subsets of self-directed learning readiness and consented to the release of their academic records. The assortment of metrics considered in this study only vaguely captured students' self-directedness. The strongest predictors were faculty evaluations of students' performance on clerkship rotations. Specific clerkship grades were mildly predictive of three subscales. The Pediatrics clerkship modestly predicted critical self-evaluation (r=-.30, p=.01) and the Psychiatry clerkship mildly predicted learning self-efficacy (r =-.30, p=.01), while the Junior Surgery clerkship nominally correlated with participants' effective organization for learning (r=.21, p=.05). Other metrics examined did not contribute to predicting participants' readiness for self-directed learning. Given individual differences among participants for the variables considered, no combination of students' grades and/or test scores overwhelmingly predicted their aptitude for self-directed learning. Considering the importance of fostering medical students' self-directed learning skills, schools need a reliable and pragmatic approach to measure them. This data analysis, however, offered no clear-cut way of documenting students' self-directed learning readiness based on the evaluation metrics included.

Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)

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

Harber, K.S.

1993-05-01

This report contains the following papers: Implications in vivid logic; a self-learning bayesian expert system; a natural language generation system for a heterogeneous distributed database system; competence-switching'' managed by intelligent systems; strategy acquisition by an artificial neural network: Experiments in learning to play a stochastic game; viewpoints and selective inheritance in object-oriented modeling; multivariate discretization of continuous attributes for machine learning; utilization of the case-based reasoning method to resolve dynamic problems; formalization of an ontology of ceramic science in CLASSIC; linguistic tools for intelligent systems; an application of rough sets in knowledge synthesis; and a relational model for imprecise queries.more » These papers have been indexed separately.« less

Proceedings of the Seventh International Symposium on Methodologies for Intelligent Systems (Poster Session)

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

Harber, K.S.

1993-05-01

This report contains the following papers: Implications in vivid logic; a self-learning Bayesian Expert System; a natural language generation system for a heterogeneous distributed database system; ``competence-switching`` managed by intelligent systems; strategy acquisition by an artificial neural network: Experiments in learning to play a stochastic game; viewpoints and selective inheritance in object-oriented modeling; multivariate discretization of continuous attributes for machine learning; utilization of the case-based reasoning method to resolve dynamic problems; formalization of an ontology of ceramic science in CLASSIC; linguistic tools for intelligent systems; an application of rough sets in knowledge synthesis; and a relational model for imprecise queries.more » These papers have been indexed separately.« less

Relationship between the Self-Efficacy and Self-Directed Learning of Adults in Undergraduate Programs

ERIC Educational Resources Information Center

Langshaw, Shelly J.

2017-01-01

In the current adult education environment, self-directed learning (SDL) is becoming a necessary learning characteristic and an academic process of learning to allow adult learners to complete programs and further enhance lifelong learning. The purpose of this quantitative study was to examine the relationship between self-efficacy and SDL in…

Exploring the Effects of Online Academic Help-Seeking and Flipped Learning on Improving Students' Learning

ERIC Educational Resources Information Center

Chyr, Wen-Li; Shen, Pei-Di; Chiang, Yi-Chun; Lin, Jau-Bi; Tsai, Chia-Wen

2017-01-01

This study explored the effects of online academic help-seeking (OAHS) and flipped learning (FL) on students' development of involvement, self-efficacy, and self-directed learning. A quasi-experiment was conducted to investigate whether students' involvement, self-efficacy, and self-directed learning increases over time with intervention by OAHS,…

Relationships among Individual Task Self-Efficacy, Self-Regulated Learning Strategy Use and Academic Performance in a Computer-Supported Collaborative Learning Environment

ERIC Educational Resources Information Center

Wilson, Kimberly; Narayan, Anupama

2016-01-01

This study investigates relationships between self-efficacy, self-regulated learning strategy use and academic performance. Participants were 96 undergraduate students working on projects with three subtasks (idea generation task, methodical task and data collection) in a blended learning environment. Task self-efficacy was measured with…

iSELF: The Development of an Internet-Tool for Self-Evaluation and Learner Feedback

ERIC Educational Resources Information Center

Theunissen, Nicolet; Stubbé, Hester

2014-01-01

This paper describes the theoretical basis and development of the iSELF: an Internet-tool for Self-Evaluation and Learner Feedback to stimulate self-directed learning in ubiquitous learning environments. In ubiquitous learning, learners follow their own trails of interest, scaffolded by coaches, peers and tools for thinking and learning.…

Self-Schemas, Motivational Strategies and Self-Regulated Learning.

ERIC Educational Resources Information Center

Garcia, Teresa; Pintrich, Paul R.

Self-regulated learning is usually viewed as the fusion of skill and will, referring to the students' development of different learning strategies in service of their goals. This definition is expanded in a study of self-schemas as a means of representing multiple goals for learning. Measures of self-schemas were used with 151 seventh graders (86…

Individualized Instruction in Science, Earth-Space Project, Self-Directed Activities.

ERIC Educational Resources Information Center

Kuczma, R. M.

As a supplement to Learning Activity Packages (LAP) of the earth-space project, this manual presents self-directed activities especially designed for individualized instruction. Besides an introduction to LAP characteristics, sets of instructions are given in connection with the metric system, the earth's dimensions, indirect evidence for atomic…

Tractor Mechanic Check Sheets for Modules.

ERIC Educational Resources Information Center

Clemson Univ., SC. Vocational Education Media Center.

Forms for student self-checks and the instructor's final checklist (student evaluation) are provided for use with thirty-three learning modules on maintaining and servicing fuel and electrical systems in tractor mechanics. The student self-check asks the students questions about their understanding of the modules' content. The instructor's…

Pilot of a Learning Management System to Enhance Counselors' Relational Qualities through Mindfulness-Based Practices

ERIC Educational Resources Information Center

Ballinger, Julie Ann

2013-01-01

Mindfulness-based practices are associated with increased attentional qualities, improved self-focus styles, enhanced empathic understanding, and strengthened self-compassion, making these practices a viable addition to counselor training programs. However, current mindfulness training models are primarily designed for relief of psychological…

Individualized Instruction in Science, Time-Space-Matter, Self-Directed Activities.

ERIC Educational Resources Information Center

Kuczma, R. M.

As a supplement to Learning Activity Packages (LAP) on the time-space-matter subject, details are presented for self-directed activities. Major descriptions are given on the background of LAP characteristics, metric system, profile graph construction, spectroscope operation, radiant energy measurement, sunspot effects, density determination,…

The Effects of Case-Based Team Learning on Students’ Learning, Self Regulation and Self Direction

PubMed Central

Rezaee, Rita; Mosalanejad, Leili

2015-01-01

Introduction: The application of the best approaches to teach adults in medical education is important in the process of training learners to become and remain effective health care providers. This research aims at designing and integrating two approaches, namely team teaching and case study and tries to examine the consequences of these approaches on learning, self regulation and self direction of nursing students. Material & Methods: This is aquasi experimental study of 40 students who were taking a course on mental health. The lessons were designed by using two educational techniques: short case based study and team based learning. Data gathering was based on two valid and reliablequestionnaires: Self-Directed Readiness Scale (SDLRS) and the self-regulating questionnaire. Open ended questions were also designed for the evaluation of students’with points of view on educational methods. Results: The Results showed an increase in the students’ self directed learning based on their performance on the post-test. The results showed that the students’ self-directed learning increased after the intervention. The mean difference before and after intervention self management was statistically significant (p=0.0001). Also, self-regulated learning increased with the mean difference after intervention (p=0.001). Other results suggested that case based team learning can have significant effects on increasing students’ learning (p=0.003). Conclusion: This article may be of value to medical educators who wish to replace traditional learning with informal learning (student-centered-active learning), so as to enhance not only the students’ ’knowledge, but also the advancement of long- life learning skills. PMID:25946918

Real-time detection of transients in OGLE-IV with application of machine learning

NASA Astrophysics Data System (ADS)

Klencki, Jakub; Wyrzykowski, Łukasz

2016-06-01

The current bottleneck of transient detection in most surveys is the problem of rejecting numerous artifacts from detected candidates. We present a triple-stage hierarchical machine learning system for automated artifact filtering in difference imaging, based on self-organizing maps. The classifier, when tested on the OGLE-IV Transient Detection System, accepts 97% of real transients while removing up to 97.5% of artifacts.

A FEASIBILITY STUDY TO INVESTIGATE THE INSTRUMENTATION, ESTABLISHMENT, AND OPERATION OF A LEARNING LABORATORY FOR HARD-OF-HEARING CHILDREN, FINAL REPORT.

ERIC Educational Resources Information Center

STEPP, ROBERT E.

TEN CHILDREN AGED 5-8 WERE SELECTED TO TEST A SELF-INSTRUCTIONAL, SELF-OPERATING SYSTEM TO DEVELOP LIPREADING SKILLS. THEIR HEARING DEFICIENCY RANGED FROM HARD OF HEARING TO PROFOUNDLY DEAF. THE SYSTEM CONSISTED OF THREE STUDY CARRELS, AN 8-MM CARTRIDGE-LOADING SOUND MOTION PICTURE PROJECTOR, AND AN OBSERVATION BOOTH UTILIZING A ONE-WAY MIRROR.…

Discovery learning with SAVI approach in geometry learning

NASA Astrophysics Data System (ADS)

Sahara, R.; Mardiyana; Saputro, D. R. S.

2018-05-01

Geometry is one branch of mathematics that an important role in learning mathematics in the schools. This research aims to find out about Discovery Learning with SAVI approach to achievement of learning geometry. This research was conducted at Junior High School in Surakarta city. Research data were obtained through test and questionnaire. Furthermore, the data was analyzed by using two-way Anova. The results showed that Discovery Learning with SAVI approach gives a positive influence on mathematics learning achievement. Discovery Learning with SAVI approach provides better mathematics learning outcomes than direct learning. In addition, students with high self-efficacy categories have better mathematics learning achievement than those with moderate and low self-efficacy categories, while student with moderate self-efficacy categories are better mathematics learning achievers than students with low self-efficacy categories. There is an interaction between Discovery Learning with SAVI approach and self-efficacy toward student's mathematics learning achievement. Therefore, Discovery Learning with SAVI approach can improve mathematics learning achievement.

Effects of competition on students' self-efficacy in vicarious learning.

PubMed

Chan, Joanne C Y; Lam, Shui-fong

2008-03-01

Vicarious learning is one of the fundamental sources of self-efficacy that is frequently employed in educational settings. However, little research has investigated the effects of competition on students' writing self-efficacy when they engage in vicarious learning. This study compared the effects of competitive and non-competitive classrooms on students' writing self-efficacy when they engaged in vicarious learning. The participants were 71 grade 7 students in Hong Kong. Using prior writing performance for stratified random sampling, students were assigned either to a competitive or a non-competitive classroom. Students learned how to compose similes and metaphors in Chinese. In the competitive classroom, students' self-efficacy decreased when they engaged in vicarious learning. In the non-competitive classroom, students' self-efficacy did not show a significant change when they engaged in vicarious learning. The findings suggested that when students engaged in vicarious learning in a competitive classroom, their self-efficacy might be threatened. Implications for efforts to design constructive context for vicarious learning are discussed.

Real-time adaptive off-road vehicle navigation and terrain classification

NASA Astrophysics Data System (ADS)

Muller, Urs A.; Jackel, Lawrence D.; LeCun, Yann; Flepp, Beat

2013-05-01

We are developing a complete, self-contained autonomous navigation system for mobile robots that learns quickly, uses commodity components, and has the added benefit of emitting no radiation signature. It builds on the au­tonomous navigation technology developed by Net-Scale and New York University during the Defense Advanced Research Projects Agency (DARPA) Learning Applied to Ground Robots (LAGR) program and takes advantage of recent scientific advancements achieved during the DARPA Deep Learning program. In this paper we will present our approach and algorithms, show results from our vision system, discuss lessons learned from the past, and present our plans for further advancing vehicle autonomy.

Components of Self-Regulated Learning; Implications for School Performance

ERIC Educational Resources Information Center

Mih, Codruta; Mih, Viorel

2010-01-01

Self-regulated school learning behavior includes the activation of a relatively large number of psychological dimensions. Among the most important self-regulation constructs that influence school learning are: learning goals, personal self-efficacy, metacognition and test-anxiety. The adaptive functioning of these is associated with high…

Understanding, Evaluating, and Supporting Self-Regulated Learning Using Learning Analytics

ERIC Educational Resources Information Center

Roll, Ido; Winne, Philip H.

2015-01-01

Self-regulated learning is an ongoing process rather than a single snapshot in time. Naturally, the field of learning analytics, focusing on interactions and learning trajectories, offers exciting opportunities for analyzing and supporting self-regulated learning. This special section highlights the current state of research at the intersection of…

Using tablets to support self-regulated learning in a longitudinal integrated clerkship.

PubMed

Archbold Hufty Alegría, Dylan; Boscardin, Christy; Poncelet, Ann; Mayfield, Chandler; Wamsley, Maria

2014-01-01

Introduction The need to train physicians committed to learning throughout their careers has prompted medical schools to encourage the development and practice of self-regulated learning by students. Longitudinal integrated clerkships (LICs) require students to exercise self-regulated learning skills. As mobile tools, tablets can potentially support self-regulation among LIC students. Methods We provided 15 LIC students with tablet computers with access to the electronic health record (EHR), to track their patient cohort, and a multiplatform online notebook, to support documentation and retrieval of self-identified clinical learning issues. Students received a 1-hour workshop on the relevant features of the tablet and online notebook. Two focus groups with the students were used to evaluate the program, one early and one late in the year and were coded by two raters. Results Students used the tablet to support their self-regulated learning in ways that were unique to their learning styles and increased access to resources and utilization of down-time. Students who used the tablet to self-monitor and target learning demonstrated the utility of tablets as learning tools. Conclusions LICs are environments rich in opportunity for self-regulated learning. Tablets can enhance students' ability to develop and employ self-regulatory skills in a clinical context.

Using tablets to support self-regulated learning in a longitudinal integrated clerkship.

PubMed

Alegría, Dylan Archbold Hufty; Boscardin, Christy; Poncelet, Ann; Mayfield, Chandler; Wamsley, Maria

2014-01-01

The need to train physicians committed to learning throughout their careers has prompted medical schools to encourage the development and practice of self-regulated learning by students. Longitudinal integrated clerkships (LICs) require students to exercise self-regulated learning skills. As mobile tools, tablets can potentially support self-regulation among LIC students. We provided 15 LIC students with tablet computers with access to the electronic health record (EHR), to track their patient cohort, and a multiplatform online notebook, to support documentation and retrieval of self-identified clinical learning issues. Students received a 1-hour workshop on the relevant features of the tablet and online notebook. Two focus groups with the students were used to evaluate the program, one early and one late in the year and were coded by two raters. Students used the tablet to support their self-regulated learning in ways that were unique to their learning styles and increased access to resources and utilization of down-time. Students who used the tablet to self-monitor and target learning demonstrated the utility of tablets as learning tools. LICs are environments rich in opportunity for self-regulated learning. Tablets can enhance students' ability to develop and employ self-regulatory skills in a clinical context.

Eliciting explanations: Constraints on when self-explanation aids learning.

PubMed

Rittle-Johnson, Bethany; Loehr, Abbey M

2017-10-01

Generating explanations for oneself in an attempt to make sense of new information (i.e., self-explanation) is often a powerful learning technique. Despite its general effectiveness, in a growing number of studies, prompting for self-explanation improved some aspects of learning, but reduced learning of other aspects. Drawing on this recent research, as well as on research comparing self-explanation under different conditions, we propose four constraints on the effectiveness of self-explanation. First, self-explanation promotes attention to particular types of information, so it is better suited to promote particular learning outcomes in particular types of domains, such as transfer in domains guided by general principles or heuristics. Second, self-explaining a variety of types of information can improve learning, but explaining one's own solution methods or choices may reduce learning under certain conditions. Third, explanation prompts focus effort on particular aspects of the to-be-learned material, potentially drawing effort away from other important information. Explanation prompts must be carefully designed to align with target learning outcomes. Fourth, prompted self-explanation often promotes learning better than unguided studying, but alternative instructional techniques may be more effective under some conditions. Attention to these constraints should optimize the effectiveness of self-explanation as an instructional technique in future research and practice.

Using tablets to support self-regulated learning in a longitudinal integrated clerkship

PubMed Central

Alegría, Dylan Archbold Hufty; Boscardin, Christy; Poncelet, Ann; Mayfield, Chandler; Wamsley, Maria

2014-01-01

Introduction The need to train physicians committed to learning throughout their careers has prompted medical schools to encourage the development and practice of self-regulated learning by students. Longitudinal integrated clerkships (LICs) require students to exercise self-regulated learning skills. As mobile tools, tablets can potentially support self-regulation among LIC students. Methods We provided 15 LIC students with tablet computers with access to the electronic health record (EHR), to track their patient cohort, and a multiplatform online notebook, to support documentation and retrieval of self-identified clinical learning issues. Students received a 1-hour workshop on the relevant features of the tablet and online notebook. Two focus groups with the students were used to evaluate the program, one early and one late in the year and were coded by two raters. Results Students used the tablet to support their self-regulated learning in ways that were unique to their learning styles and increased access to resources and utilization of down-time. Students who used the tablet to self-monitor and target learning demonstrated the utility of tablets as learning tools. Conclusions LICs are environments rich in opportunity for self-regulated learning. Tablets can enhance students’ ability to develop and employ self-regulatory skills in a clinical context. PMID:24646438

The self-regulated learning of medical students in the clinical environment - a scoping review.

PubMed

Cho, Kenneth K; Marjadi, Brahm; Langendyk, Vicki; Hu, Wendy

2017-07-10

Self-regulated learning is the individual's ability to effectively use various strategies to reach their learning goals. We conducted this scoping review to explore what has been found regarding self-regulated learning in the clinical environment and how this was measured. Using Arksey and O'Malley's five-stage framework, we searched three medical and educational databases as well as Google Scholar for literature on the self-regulated learning of medical students in the clinical environment published between 1966 and February 2017. After results were screened and relevant studies were identified, the data was summarised and discursively reported. The search resulted in 911 articles, with 14 articles included in the scoping review after the inclusion criteria was applied. Self-regulated learning was explored in these studies in various ways including qualitative, quantitative and mixed methods. Three major findings were found: 1) levels of self-regulated learning change in the clinical environment, 2) self-regulated learning is associated with academic achievement, success in clinical skills and mental health and 3) various factors can support self-regulated learning levels in medical students. Most of articles exploring the self-regulated learning of medical students during the clinical years have been published in the last 5 years, suggesting a growing interest in the area. Future research could explore the self-regulated learning levels of medical students during the clinical years using a longitudinal approach or through the use of novel qualitative approaches.

Evaluation of a blended learning model in geriatric medicine: a successful learning experience for medical students.

PubMed

Duque, Gustavo; Demontiero, Oddom; Whereat, Sarah; Gunawardene, Piumali; Leung, Oliver; Webster, Peter; Sardinha, Luis; Boersma, Derek; Sharma, Anita

2013-06-01

Despite the increasingly ageing population, teaching geriatric medicine at medical schools is a challenge due to the particularities of this subspecialty and the lack of student interest in this subject. We assessed a blended system that combines e-learning and person-to-person interaction. Our program offered the students a hands-on learning experience based on self-reflection, access to technology, interactive learning, frequent interaction with the multidisciplinary team, more exposure to patients, and regular feedback. Our results indicate that the students appreciate this system as a rich and effective learning experience demonstrated by their positive feedback and by their significant improvement in knowledge assessed at the end of their rotation. Implementing an interactive blended system is a beneficial approach to teaching geriatric medicine in medical schools and to motivating medical students' interest in this important medical subspecialty. © 2012 The Authors. Australasian Journal on Ageing © 2012 ACOTA.

Development of Intelligent Computer-Assisted Instruction Systems to Facilitate Reading Skills of Learning-Disabled Children

DTIC Science & Technology

1993-12-01

Unclassified/Unlimited 13. ABSTRACT ~Maximum 2W0 worr*J The purpose of this thesis is to develop a high-level model to create seli"adapting software which...Department of Computer Science ABSTRACT The purpose of this thesis is to develop a high-level model to create self-adapting software which teaches learning...stimulating and demanding. The power of the system model described herein is that it can vary as needed by the individual student. The system will

An implementation of 7E Learning Cycle Model to Improve Student Self-esteem

NASA Astrophysics Data System (ADS)

Firdaus, F.; Priatna, N.; Suhendra, S.

2017-09-01

One of the affective factors that affect student learning outcomes is student self-esteem in mathematics, learning achievement and self-esteem influence each other. The purpose of this research is to know whether self-esteem students who get 7E learning cycle model is better than students who get conventional learning. This research method is a non-control group design. Based on the results obtained that the normal and homogeneous data so that the t test and from the test results showed there are significant differences in self-esteem students learning with 7E learning cycle model compared with students who get conventional learning. The implications of the results of this study are that students should be required to conduct many discussions, presentations and evaluations on classroom activities as these learning stages can improve students’ self-esteem especially pride in the results achieved.

Ego depletion interferes with rule-defined category learning but not non-rule-defined category learning.

PubMed

Minda, John P; Rabi, Rahel

2015-01-01

Considerable research on category learning has suggested that many cognitive and environmental factors can have a differential effect on the learning of rule-defined (RD) categories as opposed to the learning of non-rule-defined (NRD) categories. Prior research has also suggested that ego depletion can temporarily reduce the capacity for executive functioning and cognitive flexibility. The present study examined whether temporarily reducing participants' executive functioning via a resource depletion manipulation would differentially impact RD and NRD category learning. Participants were either asked to write a story with no restrictions (the control condition), or without using two common letters (the ego depletion condition). Participants were then asked to learn either a set of RD categories or a set of NRD categories. Resource depleted participants performed more poorly than controls on the RD task, but did not differ from controls on the NRD task, suggesting that self regulatory resources are required for successful RD category learning. These results lend support to multiple systems theories and clarify the role of self-regulatory resources within this theory.

Ego depletion interferes with rule-defined category learning but not non-rule-defined category learning

PubMed Central

Minda, John P.; Rabi, Rahel

2015-01-01

Considerable research on category learning has suggested that many cognitive and environmental factors can have a differential effect on the learning of rule-defined (RD) categories as opposed to the learning of non-rule-defined (NRD) categories. Prior research has also suggested that ego depletion can temporarily reduce the capacity for executive functioning and cognitive flexibility. The present study examined whether temporarily reducing participants’ executive functioning via a resource depletion manipulation would differentially impact RD and NRD category learning. Participants were either asked to write a story with no restrictions (the control condition), or without using two common letters (the ego depletion condition). Participants were then asked to learn either a set of RD categories or a set of NRD categories. Resource depleted participants performed more poorly than controls on the RD task, but did not differ from controls on the NRD task, suggesting that self regulatory resources are required for successful RD category learning. These results lend support to multiple systems theories and clarify the role of self-regulatory resources within this theory. PMID:25688220

Possible Science Selves: Informal Learning and the Career Interest Development Process

ERIC Educational Resources Information Center

Mills, Leila A.

2014-01-01

This research examines the relationship between career related self-concept and dimensions of informal learning of science. The overlapping dimensions of career interest development and informal learning suggest that self-directed informal learning of science can advance individual self-concept for "possible scientific self." Possible…

Answering Big Questions through Self-Organized Learning

ERIC Educational Resources Information Center

Rix, Sally

2017-01-01

Self-organized learning was developed by Professor Sugata Mitra of Newcastle University on the foundation of his firm belief that learning will emerge spontaneously when children are encouraged to be curious and are allowed to self-organize. There are seven dedicated Self-Organized Learning Environments (SOLEs) that Mitra established in…

Neurodynamic system theory: scope and limits.

PubMed

Erdi, P

1993-06-01

This paper proposes that neurodynamic system theory may be used to connect structural and functional aspects of neural organization. The paper claims that generalized causal dynamic models are proper tools for describing the self-organizing mechanism of the nervous system. In particular, it is pointed out that ontogeny, development, normal performance, learning, and plasticity, can be treated by coherent concepts and formalism. Taking into account the self-referential character of the brain, autopoiesis, endophysics and hermeneutics are offered as elements of a poststructuralist brain (-mind-computer) theory.

Spontaneous neuronal activity as a self-organized critical phenomenon

NASA Astrophysics Data System (ADS)

de Arcangelis, L.; Herrmann, H. J.

2013-01-01

Neuronal avalanches are a novel mode of activity in neuronal networks, experimentally found in vitro and in vivo, and exhibit a robust critical behaviour. Avalanche activity can be modelled within the self-organized criticality framework, including threshold firing, refractory period and activity-dependent synaptic plasticity. The size and duration distributions confirm that the system acts in a critical state, whose scaling behaviour is very robust. Next, we discuss the temporal organization of neuronal avalanches. This is given by the alternation between states of high and low activity, named up and down states, leading to a balance between excitation and inhibition controlled by a single parameter. During these periods both the single neuron state and the network excitability level, keeping memory of past activity, are tuned by homeostatic mechanisms. Finally, we verify if a system with no characteristic response can ever learn in a controlled and reproducible way. Learning in the model occurs via plastic adaptation of synaptic strengths by a non-uniform negative feedback mechanism. Learning is a truly collective process and the learning dynamics exhibits universal features. Even complex rules can be learned provided that the plastic adaptation is sufficiently slow.

Motivational Factors in Self-Directed Informal Learning from Online Learning Resources

ERIC Educational Resources Information Center

Song, Donggil; Bonk, Curtis J.

2016-01-01

Learning is becoming more self-directed and informal with the support of emerging technologies. A variety of online resources have promoted informal learning by allowing people to learn on demand and just when needed. It is significant to understand self-directed informal learners' motivational aspects, their learning goals, obstacles, and…

The Use of Self, Peer and Teacher Assessment as a Feedback System in a Learning Environment Aimed at Fostering Skills of Cooperation in an Entrepreneurial Context

ERIC Educational Resources Information Center

Schelfhout, Wouter; Dochy, Filip; Janssens, Steven

2004-01-01

Education is criticized for producing inert knowledge and for paying too little attention to skills such as cooperating and problem solving. Powerful learning environments have the potential to overcome these educational shortcomings. The goal of this research was to find out ways in which a "learning enterprise" can best be supported (coached) in…

Different Reward Structures to Motivate Student Interaction with Electronic Response Systems in Astronomy

NASA Astrophysics Data System (ADS)

Len, Patrick M.

Electronic response systems ("clickers") are used in introductory astronomy classes as a real-time assessment tool. Different reward structures for student responses to clicker questions are used to motivate individual participation or group collaboration before responding. The impact of two reward structures on student behavior and learning is investigated. This study finds that a success-bonus incentive (in which individual participation points are doubled when the class attains a threshold success rate) strongly motivated students to collaborate, whereas a participation-only credit (no success-bonus) incentive resulted in one-third of the students answering individually without collaboration. With a participation-only incentive, students who answered individually ("self-testers") were found to have more positive attitudes toward astronomy and science, and higher self-confidence in their learning than students who interacted before answering without a success-bonus incentive ("collaborators"). These collaborators experienced downward shifts in attitudes and self-confidence, in contrast to the static attitudes and self-confidence of self-testers. The implication is that students with little or no background in science prefer to answer collaboratively rather than independently and that these students are also negatively impacted by a one-semester introductory astronomy course.

Self-directed learning readiness and learning styles among Saudi undergraduate nursing students.

PubMed

El-Gilany, Abdel-Hady; Abusaad, Fawzia El Sayed

2013-09-01

Self-directed learning has become a focus for nursing education in the past few decades due to the complexity and changes in nursing profession development. On the other hand, the Kolb's learning style could identify student's preference for perceiving and processing information. This study was performed to determine Saudi nursing students' readiness for self-directed learning; to identify their learning styles and to find out the relation between these two concepts. Cross-sectional descriptive study. Nursing department of faculty of Applied Medical Sciences, Al-Jouf University, Saudi Arabia. Two hundred and seventy-five undergraduate Saudi nursing students. Data was collected using self-administered questionnaires covering the demographic features of students, Fisher's self-directed learning readiness (SDLR) scale, and the Kolb's learning styles inventory. The mean scores of self-management, desire for learning, self-control and the overall SDLR were 51.3 ± 5.9, 48.4 ± 5.5, 59.9 ± 6.7, and 159.6 ± 13.8; respectively. About 77% (211) of students have high level of SDLR. The percentages of converger, diverger, assimilator and accommodator learning styles are 35.6%, 25.8%, 25.55% and 13.1%; respectively. The mean score of self-management, desire for learning, self-control and overall SDLR scale did not vary with any of the studied variables. There is no association between the level of SDLR and the learning styles. The high level of SDLR and the dominant converger learning style among undergraduate nursing students will have a positive implication for their education and post-employment continuing nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps.

PubMed

Moya, José M; Araujo, Alvaro; Banković, Zorana; de Goyeneche, Juan-Mariano; Vallejo, Juan Carlos; Malagón, Pedro; Villanueva, Daniel; Fraga, David; Romero, Elena; Blesa, Javier

2009-01-01

The reliable operation of modern infrastructures depends on computerized systems and Supervisory Control and Data Acquisition (SCADA) systems, which are also based on the data obtained from sensor networks. The inherent limitations of the sensor devices make them extremely vulnerable to cyberwarfare/cyberterrorism attacks. In this paper, we propose a reputation system enhanced with distributed agents, based on unsupervised learning algorithms (self-organizing maps), in order to achieve fault tolerance and enhanced resistance to previously unknown attacks. This approach has been extensively simulated and compared with previous proposals.

Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps

PubMed Central

Moya, José M.; Araujo, Álvaro; Banković, Zorana; de Goyeneche, Juan-Mariano; Vallejo, Juan Carlos; Malagón, Pedro; Villanueva, Daniel; Fraga, David; Romero, Elena; Blesa, Javier

2009-01-01

The reliable operation of modern infrastructures depends on computerized systems and Supervisory Control and Data Acquisition (SCADA) systems, which are also based on the data obtained from sensor networks. The inherent limitations of the sensor devices make them extremely vulnerable to cyberwarfare/cyberterrorism attacks. In this paper, we propose a reputation system enhanced with distributed agents, based on unsupervised learning algorithms (self-organizing maps), in order to achieve fault tolerance and enhanced resistance to previously unknown attacks. This approach has been extensively simulated and compared with previous proposals. PMID:22291569

Training of trainers for community primary health care workers.

PubMed

Cernada, G P

1983-01-01

Training community-based health care workers in "developing" countries is essential to improving the quality of life in both rural and urban areas. Two major obstacles to such training are the tremendous social distance gap between these community workers and their more highly-educated and upper-class trainers (often medical officers) and the didactic, formal educational system. Bridging this gap demands a participant-centered, field-oriented approach which actively involves the trainee in the design, implementation and evaluation of the training program. A description of a philosophic learning approach based on self-initiated change, educational objectives related to planning, organizing, conducting and evaluating training, and specific learning methodologies utilizing participatory learning, non-formal educational techniques, field experience, continuing feedback and learner participation are reviewed. Included are: role playing, story telling, case studies, self-learning and simulation exercises, visuals, and Portapak videotape.

Improving self-regulated learning junior high school students through computer-based learning

NASA Astrophysics Data System (ADS)

Nurjanah; Dahlan, J. A.

2018-05-01

This study is back grounded by the importance of self-regulated learning as an affective aspect that determines the success of students in learning mathematics. The purpose of this research is to see how the improvement of junior high school students' self-regulated learning through computer based learning is reviewed in whole and school level. This research used a quasi-experimental research method. This is because individual sample subjects are not randomly selected. The research design used is Pretest-and-Posttest Control Group Design. Subjects in this study were students of grade VIII junior high school in Bandung taken from high school (A) and middle school (B). The results of this study showed that the increase of the students' self-regulated learning who obtain learning with computer-based learning is higher than students who obtain conventional learning. School-level factors have a significant effect on increasing of the students' self-regulated learning.

Operationalizing Multilingualism: Language Learning Motivation in Turkey

ERIC Educational Resources Information Center

Thompson, Amy S.; Erdil-Moody, Zeynep

2016-01-01

This study is an examination of language learning motivation and multilingual status in the Turkish English as a foreign language (EFL) context. Using Dörnyei's L2 Motivational Self System (L2MSS) framework, specifically the ideal and ought-to L2 selves, this study examines the relationship between motivation and two operationalizations of…

Networked Learning in 70001 Programs.

ERIC Educational Resources Information Center

Fine, Marija Futchs

The 7000l Training and Employment Institute offers self-paced instruction through the use of computers and audiovisual materials to young people to improve opportunities for success in the work force. In 1988, four sites were equipped with Apple stand-alone software in an integrated learning system that included courses in reading and math, test…

The Self-Schedule System for Instructional-Learning Management in Adaptive School Learning Environments.

ERIC Educational Resources Information Center

Wang, Margaret C., Ed.

The studies in this monograph are designed to examine the implementation processes of an innovative instructional program and the relationship between the implementation process and the achievement of certain program goals in school settings. The monograph is a contribution to the technical aspects of designing and implementing innovative…

Measuring and Visualizing Students' Behavioral Engagement in Writing Activities

ERIC Educational Resources Information Center

Liu, Ming; Calvo, Rafael A.; Pardo, Abelardo; Martin, Andrew

2015-01-01

Engagement is critical to the success of learning activities such as writing, and can be promoted with appropriate feedback. Current engagement measures rely mostly on data collected by observers or self-reported by the participants. In this paper, we describe a learning analytic system called Tracer, which derives behavioral engagement measures…

Magnetic induction of hyperthermia by a modified self-learning fuzzy temperature controller

NASA Astrophysics Data System (ADS)

Wang, Wei-Cheng; Tai, Cheng-Chi

2017-07-01

The aim of this study involved developing a temperature controller for magnetic induction hyperthermia (MIH). A closed-loop controller was applied to track a reference model to guarantee a desired temperature response. The MIH system generated an alternating magnetic field to heat a high magnetic permeability material. This wireless induction heating had few side effects when it was extensively applied to cancer treatment. The effects of hyperthermia strongly depend on the precise control of temperature. However, during the treatment process, the control performance is degraded due to severe perturbations and parameter variations. In this study, a modified self-learning fuzzy logic controller (SLFLC) with a gain tuning mechanism was implemented to obtain high control performance in a wide range of treatment situations. This implementation was performed by appropriately altering the output scaling factor of a fuzzy inverse model to adjust the control rules. In this study, the proposed SLFLC was compared to the classical self-tuning fuzzy logic controller and fuzzy model reference learning control. Additionally, the proposed SLFLC was verified by conducting in vitro experiments with porcine liver. The experimental results indicated that the proposed controller showed greater robustness and excellent adaptability with respect to the temperature control of the MIH system.

Students' Characteristics, Self-Regulated Learning, Technology Self-Efficacy, and Course Outcomes in Online Learning

ERIC Educational Resources Information Center

Wang, Chih-Hsuan; Shannon, David M.; Ross, Margaret E.

2013-01-01

The purpose of this study was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…

The Effects of Learning Disabilities on a Child's Self-Concept.

ERIC Educational Resources Information Center

Avazian, Karyn Lorraine Wood

The review of the literature focuses on research assessing the effects of learning disabilities on a child's self-concept. After an introduction, definitions of "learning disabilities" and "self-concept" are offered. The literature on effects of learning disabilities on self-concept in elementary, middle, and high school age children is then…

The Effects of Being Diagnosed with a Learning Disability on Children's Self-Esteem.

ERIC Educational Resources Information Center

MacMaster, Keith; Donovan, Leslie A.; MacIntyre, Peter D.

2002-01-01

This study used a quasi-experimental design to examine the effect of being diagnosed with a learning disability on elementary school children's self-esteem. Findings indicated that self-esteem increased significantly above prediagnosis of a learning disability while self-esteem levels in a control group of children without learning disabilities…

Fostering Personal Meaning and Self-Relevance: A Self-Determination Theory Perspective on Internalization

ERIC Educational Resources Information Center

Vansteenkiste, Maarten; Aelterman, Nathalie; De Muynck, Gert-Jan; Haerens, Leen; Patall, Erika; Reeve, Johnmarshall

2018-01-01

Central to self-determination theory (SDT) is the notion that autonomously motivated learning relates to greater learning benefits. While learners' intrinsic motivation has received substantial attention, learners also display volitional learning when they come to endorse the personal meaning or self-relevance of the learning task. In Part I of…

Handbook of Self-Regulation of Learning and Performance

ERIC Educational Resources Information Center

Zimmerman, Barry J., Ed.; Schunk, Dale H., Ed.

2011-01-01

Self-regulated learning (or self-regulation) refers to the process whereby learners personally activate and sustain cognitions, affects, and behaviours that are systematically oriented toward the attainment of learning goals. This is the first volume to integrate into a single volume all aspects of the field of self-regulation of learning and…

Self-Access Language Learning for Malaysian University Students

ERIC Educational Resources Information Center

Tse, Andrew Yau Hau

2012-01-01

Just a few Malaysian universities offer self-access language learning activities to students. The objective of this study is to investigate if self-access learning can promote self-directed or autonomous learning in a public Malaysian technical university. Data collection is by means of interviewing the Director, lecturers, and students in a…

New Directions for Self-Regulation of Learning in Postsecondary Education

ERIC Educational Resources Information Center

Bembenutty, Hefer

2011-01-01

This chapter highlights the major contributions of this volume on self-regulation of learning and provides new directions for cutting-edge theoretical and empirical work that could serve to facilitate self-regulation of learning in postsecondary education. "Self-regulation of learning" refers to learners' beliefs about their ability to engage in…

SimCenter Hawaii Technology Enabled Learning and Intervention Systems

DTIC Science & Technology

2008-01-01

manikin training in acquiring triage skills and self -efficacy. Phase II includes the development of the VR training scenarios, which includes iterative...Task A5. Skills acquisition relative to self -efficacy study See Appendix F, Mass Casualty Triage Training using Human Patient Simulators Improves...relative to self -efficacy study • See Appendix F, Mass Casualty Triage Training using Human Patient Simulators Improves Speed and Accuracy of First

Influence of Psychosocial Classroom Environment on Students' Motivation and Self-Regulation in Science Learning: A Structural Equation Modeling Approach

NASA Astrophysics Data System (ADS)

Velayutham, Sunitadevi; Aldridge, Jill M.

2013-04-01

The primary aim of this study was two-fold: 1) to identify salient psychosocial features of the classroom environment that influence students' motivation and self-regulation in science learning; and 2) to examine the effect of the motivational constructs of learning goal orientation, science task value and self-efficacy in science learning on students' self-regulation in science classrooms. Data collected from 1360 science students in grades 8, 9 and 10 in five public schools in Perth, Western Australia were utilized to validate the questionnaires and to investigate the hypothesized relationships. Structural Equation Modeling analysis suggested that student cohesiveness, investigation and task orientation were the most influential predictors of student motivation and self-regulation in science learning. In addition, learning goal orientation, task value and self-efficacy significantly influenced students' self-regulation in science. The findings offer potential opportunities for educators to plan and implement effective pedagogical strategies aimed at increasing students' motivation and self-regulation in science learning.

How clinical medical students perceive others to influence their self-regulated learning.

PubMed

Berkhout, Joris J; Helmich, Esther; Teunissen, Pim W; van der Vleuten, Cees P M; Jaarsma, A Debbie C

2017-03-01

Undergraduate medical students are prone to struggle with learning in clinical environments. One of the reasons may be that they are expected to self-regulate their learning, which often turns out to be difficult. Students' self-regulated learning is an interactive process between person and context, making a supportive context imperative. From a socio-cultural perspective, learning takes place in social practice, and therefore teachers and other hospital staff present are vital for students' self-regulated learning in a given context. Therefore, in this study we were interested in how others in a clinical environment influence clinical students' self-regulated learning. We conducted a qualitative study borrowing methods from grounded theory methodology, using semi-structured interviews facilitated by the visual Pictor technique. Fourteen medical students were purposively sampled based on age, gender, experience and current clerkship to ensure maximum variety in the data. The interviews were transcribed verbatim and were, together with the Pictor charts, analysed iteratively, using constant comparison and open, axial and interpretive coding. Others could influence students' self-regulated learning through role clarification, goal setting, learning opportunities, self-reflection and coping with emotions. We found large differences in students' self-regulated learning and their perceptions of the roles of peers, supervisors and other hospital staff. Novice students require others, mainly residents and peers, to actively help them to navigate and understand their new learning environment. Experienced students who feel settled in a clinical environment are less susceptible to the influence of others and are better able to use others to their advantage. Undergraduate medical students' self-regulated learning requires context-specific support. This is especially important for more novice students learning in a clinical environment. Their learning is influenced most heavily by peers and residents. Supporting novice students' self-regulated learning may be improved by better equipping residents and peers for this role. © 2016 The Authors. Medical Education Published by John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems.

PubMed

Li, Kaiyun; Fu, Qiufang; Sun, Xunwei; Zhou, Xiaoyan; Fu, Xiaolan

2016-01-01

It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non-declarative learning system, in the FB and paired-associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed that the optimal accuracy in the PA condition was significantly decreased when the training time was reduced from 7 to 3 s, but this did not occur in the FB condition, although shortened training time impaired the acquisition of explicit knowledge in both conditions. The results of Experiment 2 showed that the concurrent working memory task impaired the optimal accuracy and the acquisition of explicit knowledge in the PA condition but did not influence the optimal accuracy or the acquisition of self-insight knowledge in the FB condition. The apparent dissociation results between the FB and PA conditions suggested that a non-declarative or procedural learning system is involved in the FB-WPT and provided new evidence for the multiple-systems theory of human category learning.

Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems

PubMed Central

Li, Kaiyun; Fu, Qiufang; Sun, Xunwei; Zhou, Xiaoyan; Fu, Xiaolan

2016-01-01

It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non-declarative learning system, in the FB and paired-associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed that the optimal accuracy in the PA condition was significantly decreased when the training time was reduced from 7 to 3 s, but this did not occur in the FB condition, although shortened training time impaired the acquisition of explicit knowledge in both conditions. The results of Experiment 2 showed that the concurrent working memory task impaired the optimal accuracy and the acquisition of explicit knowledge in the PA condition but did not influence the optimal accuracy or the acquisition of self-insight knowledge in the FB condition. The apparent dissociation results between the FB and PA conditions suggested that a non-declarative or procedural learning system is involved in the FB-WPT and provided new evidence for the multiple-systems theory of human category learning. PMID:27445958

Self-regulated learning strategies used in surgical clerkship and the relationship with clinical achievement.

PubMed

Turan, Sevgi; Konan, Ali

2012-01-01

Self-regulated learning indicates students' skills in controlling their own learning. Self-regulated learning, which a context-specific process, emphasizes autonomy and control. Students gain more autonomy with respect to learning in the clinical years. Examining the self-regulated learning skills of students in this period will provide important clues about the level at which students are ready to use these skills in real-life conditions. The self-regulated learning strategies used by medical students in surgical clerkship were investigated in this study and their relation with clinical achievement was analyzed. The study was conducted during the surgery clerkship of medical students. The participation rate was 94% (309 students). Motivated Strategies for Learning Questionnaire (MSLQ), a case-based examination, Objective Structured Clinical Examination (OSCE), and tutor evaluations for assessing achievement were used. The relationship between the Motivated Strategies for Learning Questionnaire scores of the students and clinical achievement was analyzed with multilinear regression analysis. The findings showed that students use self-regulated learning skills at medium levels during their surgery clerkship. A relationship between these skills and OSCE scores and tutor evaluations was determined. OSCE scores of the students were observed to increase in conjunction with increased self-efficacy levels. However, as students' beliefs regarding control over learning increased, OSCE scores decreased. No significant relationship was defined between self-regulated learning skills and case-based examination scores. We observed that a greater self-efficacy for learning resulted in higher OSCE scores. Conversely, students who believe that learning is a result of their own effort had lower OSCE scores. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Learning from Evidence in a Complex World

PubMed Central

Sterman, John D.

2006-01-01

Policies to promote public health and welfare often fail or worsen the problems they are intended to solve. Evidence-based learning should prevent such policy resistance, but learning in complex systems is often weak and slow. Complexity hinders our ability to discover the delayed and distal impacts of interventions, generating unintended “side effects.” Yet learning often fails even when strong evidence is available: common mental models lead to erroneous but self-confirming inferences, allowing harmful beliefs and behaviors to persist and undermining implementation of beneficial policies. Here I show how systems thinking and simulation modeling can help expand the boundaries of our mental models, enhance our ability to generate and learn from evidence, and catalyze effective change in public health and beyond. PMID:16449579

A composite self tuning strategy for fuzzy control of dynamic systems

NASA Technical Reports Server (NTRS)

Shieh, C.-Y.; Nair, Satish S.

1992-01-01

The feature of self learning makes fuzzy logic controllers attractive in control applications. This paper proposes a strategy to tune the fuzzy logic controller on-line by tuning the data base as well as the rule base. The structure of the controller is outlined and preliminary results are presented using simulation studies.

Increasing Student Intrinsic Motivation and Self-Efficacy through Gamification Pedagogy

ERIC Educational Resources Information Center

Banfield, James; Wilkerson, Brad

2014-01-01

The aim of this study was to assess gamification as a method of experiential learning theory (ELT) on student motivation and self-efficacy to perform System Engineering/Information Assurance (IA) tasks. The study was a basic qualitative method, whereby data was collected via semi-structured interview and then analyzed for recurring themes and…

Examining Middle School Science Student Self-Regulated Learning in a Hypermedia Learning Environment through Microanalysis

NASA Astrophysics Data System (ADS)

Mandell, Brian E.

The purpose of the present embedded mixed method study was to examine the self-regulatory processes used by high, average, and low achieving seventh grade students as they learned about a complex science topic from a hypermedia learning environment. Thirty participants were sampled. Participants were administered a number of measures to assess their achievement and self-efficacy. In addition, a microanalytic methodology, grounded in Zimmerman's cyclical model of self-regulated learning, was used to assess student self-regulated learning. It was hypothesized that there would be modest positive correlations between Zimmerman's three phases of self-regulated learning, that high achieving science students would deploy more self-regulatory subprocesses than average and low achieving science students, that high achieving science students would have higher self-efficacy beliefs to engage in self-regulated learning than average and low achieving science students, and that low achieving science students would over-estimate their self-efficacy for performance beliefs, average achieving science students would slightly overestimate their self-efficacy for performance beliefs, and high achieving science students would under-estimate their self-efficacy for performance beliefs. All hypotheses were supported except for the high achieving science students who under-estimated their self-efficacy for performance beliefs on the Declarative Knowledge Measure and slightly overestimated their self-efficacy for performance beliefs on the Conceptual Knowledge Measure. Finally, all measures of self-regulated learning were combined and entered into a regression formula to predict the students' scores on the two science tests, and it was revealed that the combined measure predicted 91% of the variance on the Declarative Knowledge Measure and 92% of the variance on the Conceptual Knowledge Measure. This study adds hypermedia learning environments to the contexts that the microanalytic methodology has been successfully administered. Educational implications and limitations to the study are also discussed.

[The Positionality of Caring Action: Small Group Dialogue in a Course on Nursing Ethics].

PubMed

Chiang, Hsien-Hsien

2016-12-01

The content of nursing-ethics education has typically focused on the external standards of caring behavior and neglected the relationship between the ethical attitudes and internal experiences of caregivers. To explore the embodied experience in order to define the positionality of caring action, which is necessary to enrich the content of nursing ethics through small-group-learning-based dialogue. The researcher, as a participant observer, teaches a course on nursing ethics. Reflective analysis was used to analyze the data from the process of small group learning, a reflective group of faculty members, and 30 reflective journals submitted by 10 students. The results identified three items that were related to the positionality of caring action: the attitudes of belief, including the choice to belief and deep understanding; articulating the value system, including exploring affectivity and positionality; and cultivating the self through self-dialogues and dialogues with others. The attitudes of belief promote trust in interpersonal relationships. Articulating the value system deepens the meaning of caring. Cultivating the self may facilitate the ethical self.

Determinants of Self-Reflective Learning and Its Consequences in Online Master Degree Programs

ERIC Educational Resources Information Center

Neumann, Yoram; Neumann, Edith; Lewis, Shelia

2017-01-01

Based on recent studies of self-reflective learning and its effects on various learning outcomes, this study examined the concept of self-reflective learning in the context of the Robust Learning Model (RLM), which is a learning model designed for improving the educational effectiveness of online degree programs. Two models were introduced to…

A Preliminary Investigation of Self-Directed Learning Activities in a Non-Formal Blended Learning Environment

ERIC Educational Resources Information Center

Schwier, Richard A.; Morrison, Dirk; Daniel, Ben K.

2009-01-01

This research considers how professional participants in a non-formal self-directed learning environment (NFSDL) made use of self-directed learning activities in a blended face-to-face and on line learning professional development course. The learning environment for the study was a professional development seminar on teaching in higher education…

Exploring the Moderating Role of Self-Management of Learning in Mobile English Learning

ERIC Educational Resources Information Center

Huang, Rui-Ting

2014-01-01

Although a considerable number of studies have revealed that self-management of learning (SML) could be closely related to learning achievements, there is still a paucity of research investigating the moderating effect of self-management of learning on mobile learning outcomes. Accordingly, the primary purpose of this study was to explore the…

The effect of web quest and team-based learning on students' self-regulation.

PubMed

Badiyepeymaie Jahromi, Zohreh; Mosalanejad, Leili; Rezaee, Rita

2016-04-01

In this study, the authors aimed to examine the effects of cooperative learning methods using Web Quest and team-based learning on students' self-direction, self-regulation, and academic achievement. This is a comparative study of students taking a course in mental health and psychiatric disorders. In two consecutive years, a group of students were trained using the WebQuest approach as a teaching strategy (n = 38), while the other group was taught using team-based learning (n=39). Data gathering was based on Guglielmino's self-directed learning readiness scale (SDLRS) and Buford's self-regulation questionnaire. The data were analyzed by descriptive test using M (IQR), Wilcoxon signed-rank test, and the Mann-Whitney U-test in SPSS software, version 13. p<0.05 was considered as the significance level. The results of the Mann-Whitney U test showed that the participants' self- directed (self-management) and self-regulated learning differed between the two groups (p=0.04 and p=0.01, respectively). Wilcoxon test revealed that self-directed learning indices (self-control and self-management) were differed between the two strategies before and after the intervention. However, the scores related to learning (students' final scores) were higher in the WebQuest approach than in team-based learning. By employing modern educational approaches, students are not only more successful in their studies but also acquire the necessary professional skills for future performance. Further research to compare the effects of new methods of teaching is required.

A theoretical framework for improving education in geriatric medicine.

PubMed

Boreham, N C

1983-01-01

Alternative concepts of learning include a formal system in which part of the medical curriculum is designated as that for geriatric medicine; a non-formal system including conferences, lectures, broadcasts, available to both medical students and physicians; and thirdly, an informal system in which doctors learn medicine through their experience practising the profession. While the most emphasis in medical schools would seem to be on the formal system it is essential that medical educators (if they wish their students in later life to maintain high levels of self-initiated learning) must use all three strategies. The structure of a system of formal teaching for geriatric medicine is examined. An important objective is attitude change and it is in achieving this that geriatricians must be particularly involved in non-formal and informal systems.

Self-Regulated and Technology-Enhanced Learning: A European Perspective

ERIC Educational Resources Information Center

Mooij, Ton; Steffens, Karl; Andrade, Maureen Snow

2014-01-01

Self-regulation of learning, learning to learn, and their potential stimulation by specific information and communication technologies (ICTs) are main topics in European policy. This issue of the European Educational Research Journal (EERJ) focuses on research to develop, integrate and evaluate self-regulation of learning and the potential and…

Learning Goals and Strategies in the Self-regulation of Learning

ERIC Educational Resources Information Center

Gaeta Gonzalez, Martha Leticia

2013-01-01

In order to self-regulate their learning, students need to use different strategies to plan, monitor, and evaluate their learning activities (meta-cognitive strategies), as well as to control their motivation and emotion (volitional strategies). Students' effectiveness in their self-regulated learning process also varies depending on the academic…

Chinese Parenting Styles and Children's Self-Regulated Learning

ERIC Educational Resources Information Center

Huang, Juan; Prochner, Larry

2004-01-01

Self-regulated learning is an important aspect of student learning and academic achievement. Certain parenting styles help children develop self-regulated learning and encourage them to exert control over their own learning. The purpose of this study was to examine the relationship between Chinese parenting style and children's involvement in…

Conceptions, Self-Regulation, and Strategies of Learning Science among Chinese High School Students

ERIC Educational Resources Information Center

Li, Mang; Zheng, Chunping; Liang, Jyh-Chong; Zhang, Yun; Tsai, Chin-Chung

2018-01-01

This study explored the structural relationships among secondary school students' conceptions, self-regulation, and strategies of learning science in mainland China. Three questionnaires, namely conceptions of learning science (COLS), self-regulation of learning science (SROLS), and strategies of learning science (SLS) were developed for…

Introduction: Self-Regulation of Learning in Postsecondary Education

ERIC Educational Resources Information Center

Bembenutty, Hefer

2011-01-01

Self-regulation of learning occupies a fundamental place in postsecondary education. "Self-regulation of learning" refers to learners' beliefs about their capability to engage in appropriate actions, thoughts, feelings, and behaviors in order to pursue valuable academic goals while self-monitoring and self-reflecting on their progress toward goal…

Validation of an instrument to measure students' motivation and self-regulation towards technology learning

NASA Astrophysics Data System (ADS)

Liou, Pey-Yan; Kuo, Pei-Jung

2014-05-01

Background:Few studies have examined students' attitudinal perceptions of technology. There is no appropriate instrument to measure senior high school students' motivation and self-regulation toward technology learning among the current existing instruments in the field of technology education. Purpose:The present study is to validate an instrument for assessing senior high school students' motivation and self-regulation towards technology learning. Sample:A total of 1822 Taiwanese senior high school students (1020 males and 802 females) responded to the newly developed instrument. Design and method:The Motivation and Self-regulation towards Technology Learning (MSRTL) instrument was developed based on the previous instruments measuring students' motivation and self-regulation towards science learning. Exploratory and confirmatory factor analyses were utilized to investigate the structure of the items. Cronbach's alpha was applied for measuring the internal consistency of each scale. Furthermore, multivariate analysis of variance was used to examine gender differences. Results:Seven scales, including 'Technology learning self-efficacy,' 'Technology learning value,' 'Technology active learning strategies,' 'Technology learning environment stimulation,' 'Technology learning goal-orientation,' 'Technology learning self-regulation-triggering,' and 'Technology learning self-regulation-implementing' were confirmed for the MSRTL instrument. Moreover, the results also showed that male and female students did not present the same degree of preference in all of the scales. Conclusions:The MSRTL instrument composed of seven scales corresponding to 39 items was shown to be valid based on validity and reliability analyses. While male students tended to express more positive and active performance in the motivation scales, no gender differences were found in the self-regulation scales.

Undergraduate students' earth science learning: relationships among conceptions, approaches, and learning self-efficacy in Taiwan

NASA Astrophysics Data System (ADS)

Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

2016-06-01

In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to explore the relationships among undergraduates' conceptions of, approaches to, and self-efficacy for learning earth science by adopting the structural equation modeling technique. A total of 268 Taiwanese undergraduates (144 females) participated in this study. Three instruments were modified to assess the students' conceptions of, approaches to, and self-efficacy for learning earth science. The results indicated that students' conceptions of learning made a significant contribution to their approaches to learning, which were consequently correlated with their learning self-efficacy. More specifically, students with stronger agreement that learning earth science involves applying the knowledge and skills learned to unknown problems were prone to possess higher confidence in learning earth science. Moreover, students viewing earth science learning as understanding earth science knowledge were more likely to adopt meaningful strategies to learn earth science, and hence expressed a higher sense of self-efficacy. Based on the results, practical implications and suggestions for future research are discussed.

[Self-directed learning in nursing students with different background factors].

PubMed

Kao, Yu-Hsiu; Yu, Chu-Wei; Kuo, Shu-Yi; Kuang, I-Hsiu

2013-08-01

Fostering self-directed learning skills in nursing students may provide a foundation for improving the specialty knowledge of these nurses. This study examines the current status of nursing student self-directed learning behavior and explores how different background factors impact self-directed learning. This research design used a cross-sectional survey and convenience sampling. A total of 550 questionnaires were distributed to participants in enrolled in nursing programs at a 2-year nursing program at an institute of technology in northern Taiwan and a 4-year nursing program at an institute of technology in southern Taiwan. A convenience sampling was used to collect data, with 537 valid questionnaires used in data analysis. Results indicated that the self-directed learning and self-management of nursing students between 20-21 years old was significantly higher than those of students between 18-19 years old. Self-directed learning, desire of learning and self-control in 2-year nursing students were significantly higher than in 4-year and extension education department nursing student participants. Two-year nursing students had the highest self-management scores, followed by extension education department participants and 4-year nursing students. Finally, participants who associated highly with the nursing profession earned the highest self-directed total score, followed by those participants who associated generally and those who associated mildly. The results recommend that teachers at nursing institutes help students develop self-directed learning. Results also recommend teachers increase their students' association with the nursing specialty through understanding the impact of different background factors on self-directed learning.

Knowledge acquisition and learning process description in context of e-learning

NASA Astrophysics Data System (ADS)

Kiselev, B. G.; Yakutenko, V. A.; Yuriev, M. A.

2017-01-01

This paper investigates the problem of design of e-learning and MOOC systems. It describes instructional design-based approaches to e-learning systems design: IMS Learning Design, MISA and TELOS. To solve this problem we present Knowledge Field of Educational Environment with Competence boundary conditions - instructional engineering method for self-learning systems design. It is based on the simplified TELOS approach and enables a user to create their individual learning path by choosing prerequisite and target competencies. The paper provides the ontology model for the described instructional engineering method, real life use cases and the classification of the presented model. Ontology model consists of 13 classes and 15 properties. Some of them are inherited from Knowledge Field of Educational Environment and some are new and describe competence boundary conditions and knowledge validation objects. Ontology model uses logical constraints and is described using OWL 2 standard. To give TELOS users better understanding of our approach we list mapping between TELOS and KFEEC.

Self-Learning Adaptive Umbrella Sampling Method for the Determination of Free Energy Landscapes in Multiple Dimensions

PubMed Central

Wojtas-Niziurski, Wojciech; Meng, Yilin; Roux, Benoit; Bernèche, Simon

2013-01-01

The potential of mean force describing conformational changes of biomolecules is a central quantity that determines the function of biomolecular systems. Calculating an energy landscape of a process that depends on three or more reaction coordinates might require a lot of computational power, making some of multidimensional calculations practically impossible. Here, we present an efficient automatized umbrella sampling strategy for calculating multidimensional potential of mean force. The method progressively learns by itself, through a feedback mechanism, which regions of a multidimensional space are worth exploring and automatically generates a set of umbrella sampling windows that is adapted to the system. The self-learning adaptive umbrella sampling method is first explained with illustrative examples based on simplified reduced model systems, and then applied to two non-trivial situations: the conformational equilibrium of the pentapeptide Met-enkephalin in solution and ion permeation in the KcsA potassium channel. With this method, it is demonstrated that a significant smaller number of umbrella windows needs to be employed to characterize the free energy landscape over the most relevant regions without any loss in accuracy. PMID:23814508

Self-Explaining Steps in Problem-Solving Tasks to Improve Self-Regulation in Secondary Education

ERIC Educational Resources Information Center

Baars, Martine; Leopold, Claudia; Paas, Fred

2018-01-01

The ability to learn in a self-regulated way is important for adolescents' academic achievements. Monitoring one's own learning is a prerequisite skill for successful self-regulated learning. However, accurate monitoring has been found to be difficult for adolescents, especially for learning problem-solving tasks such as can be found in math and…

Cognitive Modeling and Self-Regulation of Learning in Instructional Settings

ERIC Educational Resources Information Center

White, Marie C.

2017-01-01

Self-regulation of cognition and behavior is an important aspect of student learning and academic performance in the 21st-century classroom. The purpose of the chapter is to present how an integrated framework of cyclical phases and developmental levels of self-regulated learning play a significant role in modeling and self-regulatory learning as…

Factors Influencing Self-Regulation in E-Learning 2.0: Confirmatory Factor Model

ERIC Educational Resources Information Center

Zhao, Hong

2016-01-01

The importance of self-regulation in e-learning has been well noted in research. Relevant studies have shown a consistent positive correlation between learners' self-regulation and their success rate in e-learning. Increasing attention has been paid to developing learners' self-regulated abilities in e-learning. For students, what and how to learn…

The Relationship of Vocabulary Learning Strategies and Self-Efficacy with Medical English and Terminology.

PubMed

Wang, Ya-Huei; Kao, Pan-Fu; Liao, Hung-Chang

2016-02-01

This study examined the relationship between the use of vocabulary learning strategies and self-efficacy in medical English learning, and whether after an initial six-week course to master the basics of medical terminology, those with higher use of vocabulary learning strategies and those with a higher degree of self-efficacy would have significant score improvements in the medical English proficiency. Second-year medical students (N = 115; M age = 19.6, SD = 0.5; 82 men, 33 women) participated in the study. A one-group pretest-posttest design was used. Measures included medical English tests, the English Vocabulary Learning Strategies Survey (EVLSS), and the English Learning Self-Efficacy Scale (ELSES). Results showed that there was no significant correlation between vocabulary learning strategies and English learning self-efficacy. In addition, as a whole, vocabulary learning strategies and self-efficacy significantly predicted students' score improvements in medical English proficiency. © The Author(s) 2016.

Interactive and collaborative learning in the classroom at the medical school Automated response systems and team-based learning.

PubMed

Nasr, Rihab; Antoun, Jumana; Sabra, Ramzi; Zgheib, Nathalie K

2016-01-01

There has been a pedagogic shift in higher education from the traditional teacher centered to the student centered approach in teaching, necessitating a change in the role of the teacher from a supplier of information to passive receptive students into a more facilitative role. Active learning activities are based on various learning theories such as self-directed learning, cooperative learning and adult learning. There exist many instructional activities that enhance active and collaborative learning. The aim of this manuscript is to describe two methods of interactive and collaborative learning in the classroom, automated response systems (ARS) and team-based learning (TBL), and to list some of their applications and advantages. The success of these innovative teaching and learning methods at a large scale depends on few elements, probably the most important of which is the support of the higher administration and leadership in addition to the availability of “champions” who are committed to lead the change.

"Ask Ernö": a self-learning tool for assignment and prediction of nuclear magnetic resonance spectra.

PubMed

Castillo, Andrés M; Bernal, Andrés; Dieden, Reiner; Patiny, Luc; Wist, Julien

2016-01-01

We present "Ask Ernö", a self-learning system for the automatic analysis of NMR spectra, consisting of integrated chemical shift assignment and prediction tools. The output of the automatic assignment component initializes and improves a database of assigned protons that is used by the chemical shift predictor. In turn, the predictions provided by the latter facilitate improvement of the assignment process. Iteration on these steps allows Ask Ernö to improve its ability to assign and predict spectra without any prior knowledge or assistance from human experts. This concept was tested by training such a system with a dataset of 2341 molecules and their (1)H-NMR spectra, and evaluating the accuracy of chemical shift predictions on a test set of 298 partially assigned molecules (2007 assigned protons). After 10 iterations, Ask Ernö was able to decrease its prediction error by 17 %, reaching an average error of 0.265 ppm. Over 60 % of the test chemical shifts were predicted within 0.2 ppm, while only 5 % still presented a prediction error of more than 1 ppm. Ask Ernö introduces an innovative approach to automatic NMR analysis that constantly learns and improves when provided with new data. Furthermore, it completely avoids the need for manually assigned spectra. This system has the potential to be turned into a fully autonomous tool able to compete with the best alternatives currently available.Graphical abstractSelf-learning loop. Any progress in the prediction (forward problem) will improve the assignment ability (reverse problem) and vice versa.

Self-Regulated Learning: The Role of Motivation, Emotion, and Use of Learning Strategies in Students' Learning Experiences in a Self-Paced Online Mathematics Course

ERIC Educational Resources Information Center

Cho, Moon-Heum; Heron, Michele L.

2015-01-01

Enrollment in online remedial mathematics courses has increased in popularity in institutions of higher learning; however, students unskilled in self-regulated learning (SRL) find online remedial mathematics courses particularly challenging. We investigated the role of SRL, specifically motivation, emotion, and learning strategies, in students'…

Investigating the interrelationships among conceptions of, approaches to, and self-efficacy in learning science

NASA Astrophysics Data System (ADS)

Zheng, Lanqin; Dong, Yan; Huang, Ronghuai; Chang, Chun-Yen; Bhagat, Kaushal Kumar

2018-01-01

The purpose of this study was to examine the relations between primary school students' conceptions of, approaches to, and self-efficacy in learning science in Mainland China. A total of 1049 primary school students from Mainland China participated in this study. Three instruments were adapted to measure students' conceptions of learning science, approaches to learning science, and self-efficacy. The exploratory factor analysis and confirmatory factor analysis were adopted to validate three instruments. The path analysis was employed to understand the relationships between conceptions of learning science, approaches to learning science, and self-efficacy. The findings indicated that students' lower level conceptions of learning science positively influenced their surface approaches in learning science. Higher level conceptions of learning science had a positive influence on deep approaches and a negative influence on surface approaches to learning science. Furthermore, self-efficacy was also a hierarchical construct and can be divided into the lower level and higher level. Only students' deep approaches to learning science had a positive influence on their lower and higher level of self-efficacy in learning science. The results were discussed in the context of the implications for teachers and future studies.

Informal self-regulated learning on a surgical rotation: uncovering student experiences in context.

PubMed

Woods, Nicole N; Mylopoulos, Maria; Brydges, Ryan

2011-12-01

The ability to guide one's own learning is an essential skill for the health professional. The apprenticeship model of undergraduate education offers an opportunity to engage in self-regulated learning as students work to set goals, evaluate the available opportunities and seek out those with the greatest potential for learning. A close examination of how students navigate their clinical rotations could therefore foster greater understanding of how students learn to guide their own learning. The study presented here aimed to examine undergraduate medical students' day-to-day learning strategies in order to better understand the process of informal self-regulated learning in practice. As a secondary objective, we sought to provide a forum for students to share and critically reflect on their own self-regulated learning strategies. A series of focus groups were conducted with medical students on a surgical rotation. Participants were asked to discuss issues relating to the strategies and behaviours that they had implemented in order to maximize their educational experience. Three distinct approaches to informal self-regulated learning were identified: Participants articulated tendencies to acquiesce to a perceived lack of learning opportunities choose from available learning opportunities and create their own learning opportunities. The results are interpreted through the lens of self-regulated learning theory and implications for medical education are discussed.

Boring but important: a self-transcendent purpose for learning fosters academic self-regulation.

PubMed

Yeager, David S; Henderson, Marlone D; Paunesku, David; Walton, Gregory M; D'Mello, Sidney; Spitzer, Brian J; Duckworth, Angela Lee

2014-10-01

Many important learning tasks feel uninteresting and tedious to learners. This research proposed that promoting a prosocial, self-transcendent purpose could improve academic self-regulation on such tasks. This proposal was supported in 4 studies with over 2,000 adolescents and young adults. Study 1 documented a correlation between a self-transcendent purpose for learning and self-reported trait measures of academic self-regulation. Those with more of a purpose for learning also persisted longer on a boring task rather than giving in to a tempting alternative and, many months later, were less likely to drop out of college. Study 2 addressed causality. It showed that a brief, one-time psychological intervention promoting a self-transcendent purpose for learning could improve high school science and math grade point average (GPA) over several months. Studies 3 and 4 were short-term experiments that explored possible mechanisms. They showed that the self-transcendent purpose manipulation could increase deeper learning behavior on tedious test review materials (Study 3), and sustain self-regulation over the course of an increasingly boring task (Study 4). More self-oriented motives for learning--such as the desire to have an interesting or enjoyable career--did not, on their own, consistently produce these benefits (Studies 1 and 4). 2014 APA, all rights reserved

42 CFR 137.211 - How does a Self-Governance Tribe learn whether self-governance activities have resulted in...

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 1 2010-10-01 2010-10-01 false How does a Self-Governance Tribe learn whether self-governance activities have resulted in savings as described in § 137.210. 137.211 Section 137.211 Public... a Self-Governance Tribe learn whether self-governance activities have resulted in savings as...

42 CFR 137.211 - How does a Self-Governance Tribe learn whether self-governance activities have resulted in...

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 1 2011-10-01 2011-10-01 false How does a Self-Governance Tribe learn whether self-governance activities have resulted in savings as described in § 137.210. 137.211 Section 137.211 Public... a Self-Governance Tribe learn whether self-governance activities have resulted in savings as...

Development of a Web-based question database for students' self-assessment.

PubMed

Hammoud, Maya M; Barclay, Mel L

2002-09-01

Computer-based testing (CBT) for the purpose of the national licensure examination has increased interest among medical students in this modality of testing. The advent of Web-based question-delivery systems for self-assessment and learning has made it possible for students to practice this technology and participate in self-directed learning. Test Pilot(TM) is a Web-based program that provides a fast and easy tool for the development and deployment of online testing. Our objectives for introducing the program were to (1) develop a large database of questions for students' practice and self-assessment; (2) include multimedia tools such as illustrations and short videos to enhance learning; (3) provide a feedback tool for clerkship and site directors regarding student performance; and (4) evaluate this tool in terms of students' frequency of use, students' satisfaction, and its potential effectiveness in enhancing learning. The Obstetrics and Gynecology clerkship at the University of Michigan is held at four different sites. In the past, students have been provided with access to floppy disks that contain about 500 self-assessment questions. These questions have been reformatted, updated, and transferred to Test Pilot. Visual illustrations have been added to the questions along with more varied formats, including extended matching, fill-in, and essay questions. The questions are divided into ten-question quizzes. The students get immediate feedback after answering each question and a summary of performance at the end of each quiz. Security, access, and analysis are facilitated because the questions and responses are stored centrally. In addition, Test Pilot captures information regarding individual and collective students' performances. At the end of the rotation, students fill out a form evaluating the Test Pilot program and comparing it with the quiz disks. In addition, we are collecting data regarding the actual use of Test Pilot, which will be compared with the students' surveys and final exam scores. Test Pilot has many benefits, including access control, immediate feedback, automated scoring, interactive learning, and data analysis. The enhancement of material permitted by a Web-based system increases the depth and variety of the learning experience by adding perceptual dimensions. Test Pilot also provides the clerkship director with the capability to obtain improved measurements of student performance and captures the student's self-learning and testing process. It can potentially identify weaknesses or inconsistencies across the different sites and recognize students who may need additional help early in the rotation. Over a one-year period, most students have switched from the quiz disks to Test Pilot. The students reported satisfaction with the Web-based format and found it user friendly. They especially liked the immediate feedback. The students have requested more questions and multimedia options be added. We plan to continue the development and assessment of this learning tool.

A self-learning algorithm for biased molecular dynamics

PubMed Central

Tribello, Gareth A.; Ceriotti, Michele; Parrinello, Michele

2010-01-01

A new self-learning algorithm for accelerated dynamics, reconnaissance metadynamics, is proposed that is able to work with a very large number of collective coordinates. Acceleration of the dynamics is achieved by constructing a bias potential in terms of a patchwork of one-dimensional, locally valid collective coordinates. These collective coordinates are obtained from trajectory analyses so that they adapt to any new features encountered during the simulation. We show how this methodology can be used to enhance sampling in real chemical systems citing examples both from the physics of clusters and from the biological sciences. PMID:20876135

The Interaction of Motivation, Self-Regulatory Strategies, and Autonomous Learning Behavior in Different Learner Groups

ERIC Educational Resources Information Center

Kormos, Judit; Csizér, Kata

2014-01-01

Autonomous learning and effective self-regulatory strategies are increasingly important in foreign language learning; without these, students might not be able to exploit learning opportunities outside language classrooms. This study investigated the influence of motivational factors and self-regulatory strategies on autonomous learning behavior.…

Teachers' Personal Learning Networks (PLNs): Exploring the Nature of Self-Initiated Professional Learning Online

ERIC Educational Resources Information Center

Tour, Ekaterina

2017-01-01

In the field of Literacy Studies, online spaces have been recognised as providing many opportunities for spontaneous and self-initiated learning. While some progress has been made in understanding these important learning experiences, little attention has been paid to teachers' self-initiated professional learning. Contributing to the debates…

Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments

ERIC Educational Resources Information Center

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

2013-01-01

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

Accurate monitoring leads to effective control and greater learning of patient education materials.

PubMed

Rawson, Katherine A; O'Neil, Rochelle; Dunlosky, John

2011-09-01

Effective management of chronic diseases (e.g., diabetes) can depend on the extent to which patients can learn and remember disease-relevant information. In two experiments, we explored a technique motivated by theories of self-regulated learning for improving people's learning of information relevant to managing a chronic disease. Materials were passages from patient education booklets on diabetes from NIDDK. Session 1 included an initial study trial, Session 2 included self-regulated restudy, and Session 3 included a final memory test. The key manipulation concerned the kind of support provided for self-regulated learning during Session 2. In Experiment 1, participants either were prompted to self-test and then evaluate their learning before selecting passages to restudy, were shown the prompt questions but did not overtly self-test or evaluate learning prior to selecting passages, or were not shown any prompts and were simply given the menu for selecting passages to restudy. Participants who self-tested and evaluated learning during Session 2 had a small but significant advantage over the other groups on the final test. Secondary analyses provided evidence that the performance advantage may have been modest because of inaccurate monitoring. Experiment 2 included a group who also self-tested but who evaluated their learning using idea-unit judgments (i.e., by checking their responses against a list of key ideas from the correct response). Participants who self-tested and made idea-unit judgments exhibited a sizable advantage on final test performance. Secondary analyses indicated that the performance advantage was attributable in part to more accurate monitoring and more effective self-regulated learning. An important practical implication is that learning of patient education materials can be enhanced by including appropriate support for learners' self-regulatory processes. (c) 2011 APA, all rights reserved.

The Relationship between Self-Regulation and Online Learning in a Blended Learning Context

ERIC Educational Resources Information Center

Lynch, Richard; Dembo, Myron

2004-01-01

This study reviewed the distance education and self-regulation literatures to identify learner self-regulation skills predictive of academic success in a blended education context. Five self-regulatory attributes were judged likely to be predictive of academic performance: intrinsic goal orientation, self-efficacy for learning and performance,…

Measuring Self-Regulation in Self-Paced Open and Distance Learning Environments

ERIC Educational Resources Information Center

Kocdar, Serpil; Karadeniz, Abdulkadir; Bozkurt, Aras; Buyuk, Koksal

2018-01-01

Previous studies have described many scales for measuring self-regulation; however, no scale has been developed specifically for self-paced open and distance learning environments. Therefore, the aim of this study is to develop a scale for determining the self-regulated learning skills of distance learners in selfpaced open and distance learning…

Self-regulated learning and academic performance in medical education.

PubMed

Lucieer, Susanna M; Jonker, Laura; Visscher, Chris; Rikers, Remy M J P; Themmen, Axel P N

2016-06-01

Medical schools aim to graduate medical doctors who are able to self-regulate their learning. It is therefore important to investigate whether medical students' self-regulated learning skills change during medical school. In addition, since these skills are expected to be helpful to learn more effectively, it is of interest to investigate whether these skills are related to academic performance. In a cross-sectional design, the Self-Regulation of Learning Self-Report Scale (SRL-SRS) was used to investigate the change in students' self-regulated learning skills. First and third-year students (N = 949, 81.7%) SRL-SRS scores were compared with ANOVA. The relation with academic performance was investigated with multinomial regression analysis. Only one of the six skills, reflection, significantly, but positively, changed during medical school. In addition, a small, but positive relation of monitoring, reflection, and effort with first-year GPA was found, while only effort was related to third-year GPA. The change in self-regulated learning skills is minor as only the level of reflection differs between the first and third year. In addition, the relation between self-regulated learning skills and academic performance is limited. Medical schools are therefore encouraged to re-examine the curriculum and methods they use to enhance their students' self-regulated learning skills. Future research is required to understand the limited impact on performance.

Development of the Human Interaction Dimension of the Self-Regulated Learning Questionnaire in Asynchronous Online Learning Environments

ERIC Educational Resources Information Center

Cho, Moon-Heum; Jonassen, David

2009-01-01

Two studies focusing on the development and validation of the Online Self-Regulated Learning Inventory (OSRLI) were conducted. The OSRLI is a self-report instrument assessing the human interaction dimension of online self-regulated learning. It consists of an affect/motivation scale and an interaction strategies scale. In Study 1, exploratory…

Cross-Cultural Comparisons of University Students' Science Learning Self-Efficacy: Structural Relationships among Factors within Science Learning Self-Efficacy

ERIC Educational Resources Information Center

Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

2018-01-01

Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in…

Development of the PRO-SDLS: A Measure of Self-Direction in Learning Based on the Personal Responsibility Orientation Model

ERIC Educational Resources Information Center

Stockdale, Susan L.; Brockett, Ralph G.

2011-01-01

The purpose of this study was to develop a reliable and valid instrument to measure self-directedness in learning among college students based on an operationalization of the personal responsibility orientation (PRO) model of self-direction in learning. The resultant 25-item Personal Responsibility Orientation to Self-Direction in Learning Scale…

Secondary School Students’ LLL Competencies, and Their Relation with Classroom Structure and Achievement

PubMed Central

Klug, Julia; Lüftenegger, Marko; Bergsmann, Evelyn; Spiel, Christiane; Schober, Barbara

2016-01-01

There is a strong urge to foster lifelong learning (LLL) competencies with its key components – motivation and self-regulated learning – from early on in the education system. School in general is presently not considered to be successful in systematically imparting motivation and self-regulated learning strategies. There is strong evidence that decisive motivational determinants decrease the longer students stay in school. At present, the central sources of information about the situation in Austria are international monitoring studies, which only examine selected aspects of specific target groups, and their interpretability concerning mean values is constricted due to cultural differences. Thus, it is important to conduct additional and more differentiated national surveys of the actual state. This is why this study aimed at answering the following questions: (1) how well are Austrian students equipped for the future, in terms of their lifelong learning competencies, (2) can perceived classroom structure predict students’ LLL, and (3) is there a correlation of students’ LLL with their achievement in the school subjects math and German language. 5366 students (52.1% female) from 36 Austrian schools took part in the online-questionnaire (mean age 15.35 years, SD = 2.45), which measured their perceived LLL competencies in the subjects math and German language, their perceived classroom structure and their achievement. Results showed that the great majority of Austrian students – independent from domain and sex – know and are able to apply cognitive as well as metacognitive learning strategies. With regard to motivation the picture is less satisfactory: whilst students’ self-efficacy is not the problem, there is a lack of interest in the school subjects and they often report to follow performance approach goals. Classroom structure positively predicted students’ goals, interest, self-efficacy and learning strategies. Self-efficacy, performance approach goals, meta-cognitive and deep learning strategies in turn predicted achievement positively, and performance avoidance goals negatively. PMID:27242594

Secondary School Students' LLL Competencies, and Their Relation with Classroom Structure and Achievement.

PubMed

Klug, Julia; Lüftenegger, Marko; Bergsmann, Evelyn; Spiel, Christiane; Schober, Barbara

2016-01-01

There is a strong urge to foster lifelong learning (LLL) competencies with its key components - motivation and self-regulated learning - from early on in the education system. School in general is presently not considered to be successful in systematically imparting motivation and self-regulated learning strategies. There is strong evidence that decisive motivational determinants decrease the longer students stay in school. At present, the central sources of information about the situation in Austria are international monitoring studies, which only examine selected aspects of specific target groups, and their interpretability concerning mean values is constricted due to cultural differences. Thus, it is important to conduct additional and more differentiated national surveys of the actual state. This is why this study aimed at answering the following questions: (1) how well are Austrian students equipped for the future, in terms of their lifelong learning competencies, (2) can perceived classroom structure predict students' LLL, and (3) is there a correlation of students' LLL with their achievement in the school subjects math and German language. 5366 students (52.1% female) from 36 Austrian schools took part in the online-questionnaire (mean age 15.35 years, SD = 2.45), which measured their perceived LLL competencies in the subjects math and German language, their perceived classroom structure and their achievement. Results showed that the great majority of Austrian students - independent from domain and sex - know and are able to apply cognitive as well as metacognitive learning strategies. With regard to motivation the picture is less satisfactory: whilst students' self-efficacy is not the problem, there is a lack of interest in the school subjects and they often report to follow performance approach goals. Classroom structure positively predicted students' goals, interest, self-efficacy and learning strategies. Self-efficacy, performance approach goals, meta-cognitive and deep learning strategies in turn predicted achievement positively, and performance avoidance goals negatively.

The effect of web quest and team-based learning on students’ self-regulation

PubMed Central

BADIYEPEYMAIE JAHROMI, ZOHREH; MOSALANEJAD, LEILI; REZAEE, RITA

2016-01-01

Introduction In this study, the authors aimed to examine the effects of cooperative learning methods using Web Quest and team-based learning on students’ self-direction, self-regulation, and academic achievement. Method This is a comparative study of students taking a course in mental health and psychiatric disorders. In two consecutive years, a group of students were trained using the WebQuest approach as a teaching strategy (n = 38), while the other group was taught using team-based learning (n=39). Data gathering was based on Guglielmino’s self-directed learning readiness scale (SDLRS) and Buford’s self-regulation questionnaire. The data were analyzed by descriptive test using M (IQR), Wilcoxon signed-rank test, and the Mann–Whitney U-test in SPSS software, version 13. p<0.05 was considered as the significance level. Results The results of the Mann–Whitney U test showed that the participants’ self- directed (self-management) and self-regulated learning differed between the two groups (p=0.04 and p=0.01, respectively). Wilcoxon test revealed that self-directed learning indices (self-control and self-management) were differed between the two strategies before and after the intervention. However, the scores related to learning (students’ final scores) were higher in the WebQuest approach than in team-based learning. Conclusion By employing modern educational approaches, students are not only more successful in their studies but also acquire the necessary professional skills for future performance. Further research to compare the effects of new methods of teaching is required. PMID:27104202

Intelligent Counseling System: A 24 x 7 Academic Advisor

ERIC Educational Resources Information Center

Leung, Chun Ming; Tsang, Eva Y. M.; Lam, S. S.; Pang, Dominic C. W.

2010-01-01

Universities are increasingly looking into self-service systems with intelligent digital agents to supplement or replace labor-intensive services, such as academic counseling. The Open University of Hong Kong has developed an intelligent online system that instantly responds to enquiries about career development, learning modes, program/course…

Automated sleep stage detection with a classical and a neural learning algorithm--methodological aspects.

PubMed

Schwaibold, M; Schöchlin, J; Bolz, A

2002-01-01

For classification tasks in biosignal processing, several strategies and algorithms can be used. Knowledge-based systems allow prior knowledge about the decision process to be integrated, both by the developer and by self-learning capabilities. For the classification stages in a sleep stage detection framework, three inference strategies were compared regarding their specific strengths: a classical signal processing approach, artificial neural networks and neuro-fuzzy systems. Methodological aspects were assessed to attain optimum performance and maximum transparency for the user. Due to their effective and robust learning behavior, artificial neural networks could be recommended for pattern recognition, while neuro-fuzzy systems performed best for the processing of contextual information.

Increasing Student Metacognition and Learning through Classroom-Based Learning Communities and Self-Assessment †

PubMed Central

Siegesmund, Amy

2016-01-01

Student overconfidence challenges success in introductory biology. This study examined the impact of classroom learning communities and self-assessment on student metacognition and subsequent impact on student epistemological beliefs, behaviors, and learning. Students wrote weekly self-assessments reflecting on the process of learning and received individual feedback. Students completed a learning strategies inventory focused on metacognition and study behaviors at the beginning and end of the semester and a Student Assessment of their Learning Gains (SALG) at the end of the semester. Results indicated significant changes in both metacognition and study behaviors over the course of the semester, with a positive impact on learning as determined by broad and singular measures. Self-assessments and SALG data demonstrated a change in student beliefs and behaviors. Taken together, these findings argue that classroom learning communities and self-assessment can increase student metacognition and change student epistemological beliefs and behaviors. PMID:27158301

Self-esteem, academic self-concept, and achievement: how the learning environment moderates the dynamics of self-concept.

PubMed

Trautwein, Ulrich; Lüdtke, Oliver; Köller, Olaf; Baumert, Jürgen

2006-02-01

The authors examine the directionality of effects between global self-esteem, domain-specific academic self-concepts, and academic achievement. Special emphasis is placed on learning environments as potential moderators of the direction of these effects. According to the meritocracy principle presented here, so-called bottom-up effects (i.e., self-esteem is influenced by academic self-concept) are more pronounced in meritocratic learning environments than in ego-protective learning environments. This hypothesis was examined using a three-wave cross-lagged panel design with a large sample of 7th graders from East and West Germany, a total of 5,648 students who were tested shortly after German reunification. Reciprocal effects were found between self-esteem, academic self-concept, and academic achievement. In conformance with the meritocracy principle, support for bottom-up effects was stronger in the meritocratic learning environment. Copyright 2006 APA, all rights reserved.

NEEDS (The National Engineering Education Delivery System): If We Build It (According to Standards) They Will Come!

ERIC Educational Resources Information Center

Saylor, John M.

The National Science Foundation (NSF) is providing funds for coalitions of engineering educational institutions to improve the quality of undergraduate engineering education. A hypothesis that is being tested is that people can learn better in environments that allow self-paced and/or collaborative learning. The main tools for providing this…

Enhancing Learning Environments through Solution-based Knowledge Discovery Tools: Forecasting for Self-Perpetuating Systemic Reform.

ERIC Educational Resources Information Center

Tsantis, Linda; Castellani, John

2001-01-01

This article explores how knowledge-discovery applications can empower educators with the information they need to provide anticipatory guidance for teaching and learning, forecast school and district needs, and find critical markers for making the best program decisions for children and youth with disabilities. Data mining for schools is…

The Dynamic Nature of Motivation in Language Learning: A Classroom Perspective

ERIC Educational Resources Information Center

Pawlak, Miroslaw

2012-01-01

When we examine the empirical investigations of motivation in second and foreign language learning, even those drawing upon the latest theoretical paradigms, such as the L2 motivational self system (Dörnyei, 2009), it becomes clear that many of them still fail to take account of its dynamic character and temporal variation. This may be surprising…

From a Perspective on Foreign Language Learning Anxiety to Develop an Affective Tutoring System

ERIC Educational Resources Information Center

Lin, Hao-Chiang Koong; Chao, Ching-Ju; Huang, Tsu-Ching

2015-01-01

According to Krashen's affective filter hypothesis, students who are highly motivated have their self-consciousness. When they enter a learning context with a low level of anxiety, they are much more likely to become successful language acquirers than those who do not. Affective factors such as motivation, attitude, and anxiety, have a direct…

Setting the Pace: Experiments with Keller's PSI

ERIC Educational Resources Information Center

Purao, Sandeep; Sein, Maung; Nilsen, Hallgeir; Larsen, Even Åby

2017-01-01

The ideal of self-paced learning, which was introduced nearly 50 years ago by Keller in his Personalized System of Instruction (PSI), has not yet been widely adopted. In spite of its perceived promise of helping students to learn at the speed aligned to their individual backgrounds, motivation, and skills, PSI has been challenging to implement.…

Touching Mercury in Community Media: Identifying Multiple Literacy Learning through Digital Arts Production

ERIC Educational Resources Information Center

Arndt, Angela E.

2011-01-01

Educational paradigm shifts call for 21st century learners to possess the knowledge, skills, abilities, values, and experiences associated with multiple forms of literacy in a participatory learning culture. Contemporary educational systems are slow to adapt. Outside of school, people have to be self-motivated and have access to resources in order…

Effects of Using Self-Explanation on a Web-Based Chinese Sentence-Learning System

ERIC Educational Resources Information Center

Chang, Jia-Wei; Lee, Ming-Che; Su, Chien-Yuan; Wang, Tzone-I

2017-01-01

Chinese as a foreign language (CFL) learners generally encounter difficulty in using some special rules of Chinese grammar because such grammar points do not exist in their native languages. CFL learners require an effective learning strategy to assist them in acquiring a greater understanding of Chinese grammar. Thus, we integrated a…

FUNDAMENTALS LEARNING LABORATORIES IN INDUSTRIAL EDUCATION CENTERS, TECHNICAL INSTITUTES AND COMMUNITY COLLEGES IN NORTH CAROLINA.

ERIC Educational Resources Information Center

MARTIN, WALTER TRAVIS, JR.

IN 1964, NORTH CAROLINA ESTABLISHED A SYSTEM OF "FUNDAMENTALS LEARNING LABORATORIES" WHERE ADULTS MIGHT OBTAIN PROGRAMED SELF-INSTRUCTION AT MINIMAL COST (A $2.00 REGISTRATION FEE). IN A DESCRIPTIVE STUDY OF THE 17 LABORATORIES OPERATING IN 1965, DATA WERE GATHERED BY QUESTIONNAIRES AND INTERVIEWS. FINDINGS INCLUDED THE FOLLOWING-- (1)…

Autonomous Learning for English Acquisition in Blended e-Studies for Adults within the Context of Sustainable Development

ERIC Educational Resources Information Center

Bojare, Inara

2016-01-01

Personality integration and self-realisation in the global economy and coevolution with multilingual cultural environment of sustainable learning society by means of technologies actualise the paradigm shift in science, and create the necessity for transdisciplinary research to resolve the problem of transformation of the system of values in the…

Examining Motivational Orientation and Learning Strategies in Computer-Supported Self-Directed Learning (CS-SDL) for Mathematics: The Perspective of Intrinsic and Extrinsic Goals

ERIC Educational Resources Information Center

Lao, Andrew Chan-Chio; Cheng, Hercy N. H.; Huang, Mark C. L.; Ku, Oskar; Chan, Tak-Wai

2017-01-01

One-to-one technology, which allows every student to receive equal access to learning tasks through a personal computing device, has shown increasing potential for self-directed learning in elementary schools. With computer-supported self-directed learning (CS-SDL), students may set their own learning goals through the suggestions of the system…

From making pamphlets to making policies: results from a collaborative training to increase knowledge, motivation, and self-efficacy for achieving public health policy and systems change.

PubMed

Dilley, Julia A; Reuer, Jennifer R; Colman, Victor; Norman, Robbi Kay

2009-04-01

Steps to a Healthier Washington, in collaboration with other programs in the Washington State Department of Health and external partners, has implemented training to improve public health practice and create greater organizational and staff capacity for promoting effective policy and systems changes, including reducing disparities. The training is grounded in behavior change and adult learning theories. A comprehensive post training evaluation found long-term improvements in self-efficacy, reported changes in work, and attribution of those changes to the training. Organizations working to refocus public health work on policy and systems change should consider providing skills-based policy training to their staff. This study suggests that an integrated training, using adult learning theory, has led to long-term improvements in capacity among public health staff and partners.

Automatic Detection of Student Mental Models Based on Natural Language Student Input during Metacognitive Skill Training

ERIC Educational Resources Information Center

Lintean, Mihai; Rus, Vasile; Azevedo, Roger

2012-01-01

This article describes the problem of detecting the student mental models, i.e. students' knowledge states, during the self-regulatory activity of prior knowledge activation in MetaTutor, an intelligent tutoring system that teaches students self-regulation skills while learning complex science topics. The article presents several approaches to…

Leadership of Self-Organized Networks Lessons from the War on Terror

ERIC Educational Resources Information Center

Wheatley, Margaret J.

2007-01-01

In the past few decades, scientists have developed a rich understanding of how living systems organize and function. They describe life's capacity to self-organize as networks of interdependent relationships, to learn and adapt, and to grow more capable and orderly over time. These dynamics and descriptions stand in stark contrast to how we humans…

Effects of Visual Cues and Self-Explanation Prompts: Empirical Evidence in a Multimedia Environment

ERIC Educational Resources Information Center

Lin, Lijia; Atkinson, Robert K.; Savenye, Wilhelmina C.; Nelson, Brian C.

2016-01-01

The purpose of this study was to investigate the impacts of visual cues and different types of self-explanation prompts on learning, cognitive load, and intrinsic motivation in an interactive multimedia environment that was designed to deliver a computer-based lesson about the human cardiovascular system. A total of 126 college students were…

Reactions. [Individualized Learning System (ILS) Chemistry Pac No. 5.

ERIC Educational Resources Information Center

Torop, William

This booklet is one of a set of eight designed to be used in a self-paced introductory chemistry course in conjunction with specified textbooks and computer-assisted instruction (CAI) modules. Each topic is introduced with a textbook reading assignment and additional readings are provided in the booklet. Also included are self-tests (and answers),…

Electronic Learning Courses as a Means to Activate Students' Independent Work in Studying Physics

ERIC Educational Resources Information Center

Shurygin, Viktor Yurjevich; Krasnova, Lyubov Alekseevna

2016-01-01

Currently, there are special requirements to the system of higher education, focused not only on imparting knowledge to students, but also on the formation of the continuous need for independent self-education, self-creative approach to getting knowledge throughout their active life. In this regard, the role of students' independent work with its…

Carbon. [Individualized Learning System (ILS) Chemistry Pac No. 7.

ERIC Educational Resources Information Center

Torop, William

This booklet is one of a set of eight designed to be used in a self-paced introductory chemistry course in conjunction with specified textbooks and computer-assisted instruction (CAI) modules. Each topic is introduced with a textbook reading assignment and additional readings are provided in the booklet. Also included are self-tests (and answers),…

Adding dynamic rules to self-organizing fuzzy systems

NASA Technical Reports Server (NTRS)

Buhusi, Catalin V.

1992-01-01

This paper develops a Dynamic Self-Organizing Fuzzy System (DSOFS) capable of adding, removing, and/or adapting the fuzzy rules and the fuzzy reference sets. The DSOFS background consists of a self-organizing neural structure with neuron relocation features which will develop a map of the input-output behavior. The relocation algorithm extends the topological ordering concept. Fuzzy rules (neurons) are dynamically added or released while the neural structure learns the pattern. The DSOFS advantages are the automatic synthesis and the possibility of parallel implementation. A high adaptation speed and a reduced number of neurons is needed in order to keep errors under some limits. The computer simulation results are presented in a nonlinear systems modelling application.

A self-organizing neural network for job scheduling in distributed systems

NASA Astrophysics Data System (ADS)

Newman, Harvey B.; Legrand, Iosif C.

2001-08-01

The aim of this work is to describe a possible approach for the optimization of the job scheduling in large distributed systems, based on a self-organizing Neural Network. This dynamic scheduling system should be seen as adaptive middle layer software, aware of current available resources and making the scheduling decisions using the "past experience." It aims to optimize job specific parameters as well as the resource utilization. The scheduling system is able to dynamically learn and cluster information in a large dimensional parameter space and at the same time to explore new regions in the parameters space. This self-organizing scheduling system may offer a possible solution to provide an effective use of resources for the off-line data processing jobs for future HEP experiments.

Web Interface Design Principles for Adults' Self-Directed Learning

ERIC Educational Resources Information Center

Firat, Mehmet; Sakar, A. Nurhan; Kabakci Yurdakul, Isil

2016-01-01

One of the most important features which e-learning tools and environments must possess within the scope of lifelong learning is self-directed learning, which can be considered as a form of self-learning. The aim of this study was to determine, based on the views and recommendations of experts, interface design principles for the development of…

Designing On-Demand Education for Simultaneous Development of Domain-Specific and Self-Directed Learning Skills

ERIC Educational Resources Information Center

Taminiau, E. M. C.; Kester, L.; Corbalan, G.; Spector, J. M.; Kirschner, P. A.; Van Merriënboer, J. J. G.

2015-01-01

On-demand education enables individual learners to choose their learning pathways according to their own learning needs. They must use self-directed learning (SDL) skills involving self-assessment and task selection to determine appropriate pathways for learning. Learners who lack these skills must develop them because SDL skills are prerequisite…

Self-Directed Learning Characteristics: Making Learning Personal, Empowering and Successful

ERIC Educational Resources Information Center

du Toit-Brits, Charlene; van Zyl, Chris-Mari

2017-01-01

Due to the speedy emergent investigation in self-directed learning (SDL) over the past 40 years, SDL is an education technique used progressively within tertiary institutions. SDL can be well-defined in terms of the amount of accountability the student accepts for his or her own learning. The self-directed students regarding learning take control…

Self-Regulation of Learning and Academic Delay of Gratification among Korean College Students

ERIC Educational Resources Information Center

Bembenutty, Hefer

2007-01-01

The goal of the present study was to examine the relationship between Korean students' motivation for learning, use of self-regulation of learning strategies, and delay of gratification Self-regulation of learning is a process that required students to get involved in their personal, behavioral, motivational, and cognitive learning tasks in order…

Training self-assessment and task-selection skills to foster self-regulated learning: Do trained skills transfer across domains?

PubMed

Raaijmakers, Steven F; Baars, Martine; Paas, Fred; van Merriënboer, Jeroen J G; van Gog, Tamara

2018-01-01

Students' ability to accurately self-assess their performance and select a suitable subsequent learning task in response is imperative for effective self-regulated learning. Video modeling examples have proven effective for training self-assessment and task-selection skills, and-importantly-such training fostered self-regulated learning outcomes. It is unclear, however, whether trained skills would transfer across domains. We investigated whether skills acquired from training with either a specific, algorithmic task-selection rule or a more general heuristic task-selection rule in biology would transfer to self-regulated learning in math. A manipulation check performed after the training confirmed that both algorithmic and heuristic training improved task-selection skills on the biology problems compared with the control condition. However, we found no evidence that students subsequently applied the acquired skills during self-regulated learning in math. Future research should investigate how to support transfer of task-selection skills across domains.

Improving nurses' perceptions of competency in diabetes self-management education through the use of simulation and problem-based learning.

PubMed

Tschannen, Dana; Aebersold, Michelle; Sauter, Cecilia; Funnell, Martha M

2013-06-01

Nurses who provide case management can improve care practice and outcomes among patients who have type 2 diabetes through appropriate training and systems of care. This study was conducted to improve ambulatory care nurses' perceptions of competency in empowerment-based skills required for diabetes self-management education after participation in a multifaceted educational session that included problem-based learning and simulation. After participation in the multifaceted educational session, nurses (n = 21) perceived that the education provided an excellent opportunity for knowledge uptake and applicability to their respective work settings. The learning strategies provided opportunities for engagement in a safe and relaxed atmosphere. The simulation experience allowed participants to deliberately practice the competencies. These nurses considered this a very effective learning activity. Through the use of problem-based learning and simulation, nurses may be able to more efficiently and effectively develop the necessary skills to provide effective case management of chronic disease. Copyright 2013, SLACK Incorporated.

From microscopic rules to macroscopic dynamics with active colloidal snakes

NASA Astrophysics Data System (ADS)

Zhang, Jie; Yan, Jing; Granick, Steve

Seeking to learn about self-assembly far from equilibrium, these imaging experiments inspect self-propelled colloidal particles whose heads and tails attract other particles reversibly as they swim. We observe processes akin to polymerization (short times) and chain scission and recombination (long times). The steady-state of dilute systems consists of discrete rings rotating in place with largely quenched dynamics, but when concentration is high, the system dynamics share features with turbulence. The dynamical rules of this model system appear to be scale-independent and hence potentially relevant more generally.

What Makes a Good Student? How Emotions, Self-Regulated Learning, and Motivation Contribute to Academic Achievement

ERIC Educational Resources Information Center

Mega, Carolina; Ronconi, Lucia; De Beni, Rossana

2014-01-01

The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…

Judgments of Self-Perceived Academic Competence and Their Differential Impact on Students' Achievement Motivation, Learning Approach, and Academic Performance

ERIC Educational Resources Information Center

Ferla, Johan; Valcke, Martin; Schuyten, Gilberte

2010-01-01

Using path analysis, the present study focuses on the development of a model describing the impact of four judgments of self-perceived academic competence on higher education students' achievement goals, learning approach, and academic performance. Results demonstrate that academic self-efficacy, self-efficacy for self-regulated learning, academic…

Self-Control of Haptic Assistance for Motor Learning: Influences of Frequency and Opinion of Utility

PubMed Central

Williams, Camille K.; Tseung, Victrine; Carnahan, Heather

2017-01-01

Studies of self-controlled practice have shown benefits when learners controlled feedback schedule, use of assistive devices and task difficulty, with benefits attributed to information processing and motivational advantages of self-control. Although haptic assistance serves as feedback, aids task performance and modifies task difficulty, researchers have yet to explore whether self-control over haptic assistance could be beneficial for learning. We explored whether self-control of haptic assistance would be beneficial for learning a tracing task. Self-controlled participants selected practice blocks on which they would receive haptic assistance, while participants in a yoked group received haptic assistance on blocks determined by a matched self-controlled participant. We inferred learning from performance on retention tests without haptic assistance. From qualitative analysis of open-ended questions related to rationales for/experiences of the haptic assistance that was chosen/provided, themes emerged regarding participants’ views of the utility of haptic assistance for performance and learning. Results showed that learning was directly impacted by the frequency of haptic assistance for self-controlled participants only and view of haptic assistance. Furthermore, self-controlled participants’ views were significantly associated with their requested haptic assistance frequency. We discuss these findings as further support for the beneficial role of self-controlled practice for motor learning. PMID:29255438

Self-Perception of Readiness to Learn and Self-Efficacy among Nursing Students in an Online Baccalaureate (BSN) Program

ERIC Educational Resources Information Center

Cadet, Myriam Jean

2016-01-01

This study investigated the relationship between readiness to learn and self-efficacy among newly enrolled BSN students in an online program. A sample of 27 students completed the 45-item Test of Online Learning Success (ToOLS) and 10-item General Self Efficacy (GSE) scales via Survey Monkey. Knowles' (1980) adult learning theory and Bandura's…

Does Self-Regulated Learning-Skills Training Improve High-School Students' Self-Regulation, Math Achievement, and Motivation While Using an Intelligent Tutor?

ERIC Educational Resources Information Center

Barrus, Angela

2013-01-01

This study empirically evaluated the effectiveness of the instructional design, learning tools, and role of the teacher in three versions of a semester-long, high-school remedial Algebra I course to determine what impact self-regulated learning skills and learning pattern training have on students' self-regulation, math achievement, and…

Implicit Learning of Viewpoint-Independent Spatial Layouts

PubMed Central

Tsuchiai, Taiga; Matsumiya, Kazumichi; Kuriki, Ichiro; Shioiri, Satoshi

2012-01-01

We usually perceive things in our surroundings as unchanged despite viewpoint changes caused by self-motion. The visual system therefore must have a function to process objects independently of viewpoint. In this study, we examined whether viewpoint-independent spatial layout can be obtained implicitly. For this purpose, we used a contextual cueing effect, a learning effect of spatial layout in visual search displays known to be an implicit effect. We investigated the transfer of the contextual cueing effect to images from a different viewpoint by using visual search displays of 3D objects. For images from a different viewpoint, the contextual cueing effect was maintained with self-motion but disappeared when the display changed without self-motion. This indicates that there is an implicit learning effect in environment-centered coordinates and suggests that the spatial representation of object layouts can be obtained and updated implicitly. We also showed that binocular disparity plays an important role in the layout representations. PMID:22740837

Hebbian learning and predictive mirror neurons for actions, sensations and emotions

PubMed Central

Keysers, Christian; Gazzola, Valeria

2014-01-01

Spike-timing-dependent plasticity is considered the neurophysiological basis of Hebbian learning and has been shown to be sensitive to both contingency and contiguity between pre- and postsynaptic activity. Here, we will examine how applying this Hebbian learning rule to a system of interconnected neurons in the presence of direct or indirect re-afference (e.g. seeing/hearing one's own actions) predicts the emergence of mirror neurons with predictive properties. In this framework, we analyse how mirror neurons become a dynamic system that performs active inferences about the actions of others and allows joint actions despite sensorimotor delays. We explore how this system performs a projection of the self onto others, with egocentric biases to contribute to mind-reading. Finally, we argue that Hebbian learning predicts mirror-like neurons for sensations and emotions and review evidence for the presence of such vicarious activations outside the motor system. PMID:24778372

Hebbian learning and predictive mirror neurons for actions, sensations and emotions.

PubMed

Keysers, Christian; Gazzola, Valeria

2014-01-01

Spike-timing-dependent plasticity is considered the neurophysiological basis of Hebbian learning and has been shown to be sensitive to both contingency and contiguity between pre- and postsynaptic activity. Here, we will examine how applying this Hebbian learning rule to a system of interconnected neurons in the presence of direct or indirect re-afference (e.g. seeing/hearing one's own actions) predicts the emergence of mirror neurons with predictive properties. In this framework, we analyse how mirror neurons become a dynamic system that performs active inferences about the actions of others and allows joint actions despite sensorimotor delays. We explore how this system performs a projection of the self onto others, with egocentric biases to contribute to mind-reading. Finally, we argue that Hebbian learning predicts mirror-like neurons for sensations and emotions and review evidence for the presence of such vicarious activations outside the motor system.

Implementing the adapted physical education E-learning program into physical education teacher education program.

PubMed

Kwon, Eun Hye; Block, Martin E

2017-10-01

According to the Ministry of Education Korea (2014), the approximately 70.4% of all students with disabilities are included in general schools in Korea. However, studies show that Korean GPE teachers do not feel comforatble or prepared to include students with disabilities (Oh & Lee, 1999; Roh, 2002; Roh & Oh, 2005). The purpose of this study was to explore whether an APE e-learning supplement would have an impact on the level of self-efficacy and content knowledge of pre-service teachers related to including students with intellectual disabilities. An APE supplement was developed based on the Instructional Design Model (Dick, Carey, & Carey, 2005) to provide three sources of self-efficacy, mastery experience, vicarious experience, and social persuasions. Three groups of pre-service teachers (N=75) took the same content supplement with different delivery system, E-learning group (n=25) with online, traditional group (n=25) with printed handout, and control group (n=25) without supplement. Two instruments, the Physical Educators' Situation-Specific Self-efficacy and Inclusion Student with Disabilities in Physical Education (SE-PETE-D) and the content knowledge test, were given to all participants twice (i.e., pretest and posttest). A 3×2 mixed effect ANOVA revealed that pre-service teachers' perceived self-efficacy (p=0.023) improved after taking the e-learning supplement. However, there was no significant difference in the level of content knowledge (p=0.248) between the learning group and tranditional group. Copyright © 2017 Elsevier Ltd. All rights reserved.

What can action learning offer a beleaguered system? A narrative representing the relationship.

PubMed

Traeger, James

2017-05-02

Purpose This is an attempt to write an account of action learning that is as close to the ground on which it was practised as the author can make it. In that sense, the reader can read what follows below as a kind of autoethnography, a "representation as relationship" as Gergen and Gergen (2002, p. 11) call it. This is because in the opportunity of telling a story about his practice as an action learning facilitator, the author hopes to evoke that which is more akin to the contactful environment of quality action learning than any amount of abstract theorising. Design/methodology/approach This is an example of "narrative inquiry", best judged, according to Sparkes (2002), in terms of the ability of such accounts to "contribute to sociological understanding in ways that, amongst others are self-knowing, self-respecting, self-sacrificing and self-luminous". Findings As the author re-tells this partial account, he has a sense of the massive wider structures around him, but all he can see in his dim lamp is the fleeting glimpse of the local strata. The author traces his hand along the seams, not intending to dig them out, but simply to witness them, or even, in a spirit of yearning, to give them a witnessing of themselves. Originality/value To the author, this is about portraying what action learning feels like, rather than thinks like, for his own and for the benefit of other practitioners.

Self-Learning through Programmed Learning in Distance Mode.

ERIC Educational Resources Information Center

Rao, D. Prakasa; Reddy, B. Sudhakar

2002-01-01

Presents the characteristics and development of self-learning material (SLM) in distance education. Discusses teaching with programmed learning; structure of SLM; and how SLM helps in self-study. Discusses the advantages of print materials as accompanying programmed instruction, because they are portable, well-structured, compact, and easily…

Learning To Learn: Western Perspectives.

ERIC Educational Resources Information Center

Roth, Gene L.

Building awareness of the self as learner is central to learning. Reflecting on past experiences helps individuals elucidate undetected characteristics of themselves as learners. Active learners are more likely to experiment with new learning strategies and take risks. Because of their inquiring dispositions, they self-monitor and self-evaluate…

The role of learning environment on high school chemistry students' motivation and self-regulatory processes

NASA Astrophysics Data System (ADS)

Judd, Jeffrey S.

Changes to the global workforce and technological advancements require graduating high school students to be more autonomous, self-directed, and critical in their thinking. To reflect societal changes, current educational reform has focused on developing more problem-based, collaborative, and student-centered classrooms to promote effective self-regulatory learning strategies, with the goal of helping students adapt to future learning situations and become life-long learners. This study identifies key features that may characterize these "powerful learning environments", which I term "high self-regulating learning environments" for ease of discussion, and examine the environment's role on students' motivation and self-regulatory processes. Using direct observation, surveys, and formal and informal interviews, I identified perceptions, motivations, and self-regulatory strategies of 67 students in my high school chemistry classes as they completed academic tasks in both high and low self-regulating learning environments. With social cognitive theory as a theoretical framework, I then examined how students' beliefs and processes changed after they moved from low to a high self-regulating learning environment. Analyses revealed that key features such as task meaning, utility, complexity, and control appeared to play a role in promoting positive changes in students' motivation and self-regulation. As embedded cases, I also included four students identified as high self-regulating, and four students identified as low self-regulating to examine whether the key features of high and low self-regulating learning environments played a similar role in both groups. Analysis of findings indicates that key features did play a significant role in promoting positive changes in both groups, with high self-regulating students' motivation and self-regulatory strategies generally remaining higher than the low self-regulating students; this was the case in both environments. Findings suggest that classroom learning environments and instruction can be modified using variations of these key features to promote specific or various levels of motivation and self-regulatory skill. In this way, educators may tailor their lessons or design their classrooms to better match and develop students' current level of motivation and self-regulation in order to maximize engagement in an academic task.

Self-esteem at school and self-handicapping in childhood: comparison of groups with learning disabilities.

PubMed

Alesi, Marianna; Rappo, Gaetano; Pepi, Annamaria

2012-12-01

Recent research has focused on the role of self-esteem and self-handicapping strategies in the school domain. Self-handicapping refers to maladaptive strategies employed by adults and children for protection and maintenance of positive school self esteem. In this study the self-esteem and the self-handicapping strategies of children with dyslexia, reading comprehension disabilities, and mathematical disabilities were compared to a control group with normal learning. There were 56 children whose mean age was 8 (23 girls, 33 boys), attending Grade 3 of primary school. These pupils were selected by scores on a battery of learning tests commonly used in Italy for assessment of learning disabilities. Analyses suggested these children with dyslexia, reading comprehension disabilities, and mathematical disabilities had lower ratings of self-esteem at school and employed more self-handicapping strategies than did children whose learning was normal. More research is required to identify and examine in depth the factors that promote adaptive strategies to cope with children's reading difficulties.

How do postgraduate GP trainees regulate their learning and what helps and hinders them? A qualitative study.

PubMed

Sagasser, Margaretha H; Kramer, Anneke W M; van der Vleuten, Cees P M

2012-08-06

Self-regulation is essential for professional development. It involves monitoring of performance, identifying domains for improvement, undertaking learning activities, applying newly learned knowledge and skills and self-assessing performance. Since self-assessment alone is ineffective in identifying weaknesses, learners should seek external feedback too. Externally regulated educational interventions, like reflection, learning portfolios, assessments and progress meetings, are increasingly used to scaffold self-regulation.The aim of this study is to explore how postgraduate trainees regulate their learning in the workplace, how external regulation promotes self-regulation and which elements facilitate or impede self-regulation and learning. In a qualitative study with a phenomenologic approach we interviewed first- and third-year GP trainees from two universities in the Netherlands. Twenty-one verbatim transcripts were coded. Through iterative discussion the researchers agreed on the interpretation of the data and saturation was reached. Trainees used a short and a long self-regulation loop. The short loop took one week at most and was focused on problems that were easy to resolve and needed minor learning activities. The long loop was focused on complex or recurring problems needing multiple and planned longitudinal learning activities. External assessments and formal training affected the long but not the short loop. The supervisor had a facilitating role in both loops. Self-confidence was used to gauge competence.Elements influencing self-regulation were classified into three dimensions: personal (strong motivation to become a good doctor), interpersonal (stimulation from others) and contextual (organizational and educational features). Trainees did purposefully self-regulate their learning. Learning in the short loop may not be visible to others. Trainees should be encouraged to actively seek and use external feedback in both loops. An important question for further research is which educational interventions might be used to scaffold learning in the short loop. Investing in supervisor quality remains important, since they are close to trainee learning in both loops.

How do postgraduate GP trainees regulate their learning and what helps and hinders them? A qualitative study

PubMed Central

2012-01-01

Background Self-regulation is essential for professional development. It involves monitoring of performance, identifying domains for improvement, undertaking learning activities, applying newly learned knowledge and skills and self-assessing performance. Since self-assessment alone is ineffective in identifying weaknesses, learners should seek external feedback too. Externally regulated educational interventions, like reflection, learning portfolios, assessments and progress meetings, are increasingly used to scaffold self-regulation. The aim of this study is to explore how postgraduate trainees regulate their learning in the workplace, how external regulation promotes self-regulation and which elements facilitate or impede self-regulation and learning. Methods In a qualitative study with a phenomenologic approach we interviewed first- and third-year GP trainees from two universities in the Netherlands. Twenty-one verbatim transcripts were coded. Through iterative discussion the researchers agreed on the interpretation of the data and saturation was reached. Results Trainees used a short and a long self-regulation loop. The short loop took one week at most and was focused on problems that were easy to resolve and needed minor learning activities. The long loop was focused on complex or recurring problems needing multiple and planned longitudinal learning activities. External assessments and formal training affected the long but not the short loop. The supervisor had a facilitating role in both loops. Self-confidence was used to gauge competence.Elements influencing self-regulation were classified into three dimensions: personal (strong motivation to become a good doctor), interpersonal (stimulation from others) and contextual (organizational and educational features). Conclusions Trainees did purposefully self-regulate their learning. Learning in the short loop may not be visible to others. Trainees should be encouraged to actively seek and use external feedback in both loops. An important question for further research is which educational interventions might be used to scaffold learning in the short loop. Investing in supervisor quality remains important, since they are close to trainee learning in both loops. PMID:22866981

Identifying and describing patients' learning experiences towards self-management of bipolar disorders: a phenomenological study.

PubMed

Van den Heuvel, S C G H; Goossens, P J J; Terlouw, C; Van Achterberg, T; Schoonhoven, L

2015-12-01

Existing evidence suggest that patient education in promoting self-management strategies of bipolar disorder (BD) is effective. However, results across the full range of service users with BD vary. Learning experiences of service users look to be a crucial factor to take into account when designing, delivering, and evaluating effective interventions that promote self-management in chronic illness. What learning activities service users actually undertake themselves when self-managing BD that might explain varying success rates, and guide future self-management educational programmes has not been examined. Unlike previous studies that suggest that outcomes in self-management depend on individual learning activities, the current study found that learning to self-manage BD takes place in a social network that functions as a learning environment in which it is saved for service users to make mistakes and to learn from these mistakes. Especially, coping with the dormant fear of a recurrent episode and acknowledging the limitations of an individual approach are important factors that facilitate this learning process. Practitioners who provide patient education in order to promote self-management of BD should tailor future interventions that facilitate learning by reflecting on the own experiences of service users. Community psychiatric nurses should keep an open discussion with service users and caregivers, facilitate the use of a network, and re-label problems into learning situations where both play an active role in building mutual trust, thereby enhancing self-management of BD. Existing evidence suggest that self-management education of bipolar disorder (BD) is effective. However, why outcomes differ across the full range of service users has not been examined. This study describes learning experiences of service users in self-managing BD that provide a possible explanation for this varying effectiveness. We have conducted a phenomenological study via face-to-face, in-depth interviews, guided by a topic list, along service users with BD I or II (n = 16) in three specialised community care clinics across the Netherlands. Interviews were digitally recorded and transcribed verbatim prior to analysis in Atlas.ti 7. Unlike existing studies, which suggest that individual abilities of service users determine outcomes in self-management of BD, the current study found that self-management of BD is a learning process that takes place in a collaborative network. We identified five categories: acknowledgment of having BD, processing the information load, illness management, reflecting on living with BD, and self-management of BD. The success of self-management depends on the acknowledgment of individual limitations in learning to cope with BD and willingness to use a social network as a back-up instead. Especially, the dormant fear of a recurrent episode is a hampering factor in this learning process. © 2015 John Wiley & Sons Ltd.

I Feel, Therefore, I Learn: The Role of Emotion in Self-Directed Learning

ERIC Educational Resources Information Center

Rager, Kathleen B.

2009-01-01

It is rare to find the emotional component of self-directed learning discussed explicitly in the literature. This lack is particularly glaring given the interest sparked by recent brain research concerning the importance of emotion in all types of learning as well as by the dramatic increase in self-directed learning in the emotionally charged…

Investigating the Link between Self Directed Learning Readiness and Project-Based Learning Outcomes: The Case of International Masters Students in an Engineering Management Course

ERIC Educational Resources Information Center

Stewart, Rodney A.

2007-01-01

Modern learning approaches increasingly have fewer structured learning activities and more self-directed learning tasks guided through consultation with academics. Such tasks are predominately project-/problem-based where the student is required to follow a freely guided road map to self discovery while simultaneously achieving desired learning…

Does Training in How to Regulate One's Learning Affect How Students Report Self-Regulated Learning in Diary Tasks?

ERIC Educational Resources Information Center

Costa Ferreira, P.; Veiga Simão, A. M.; Lopes da Silva, A.

2015-01-01

The processes and perceptions of students' self-regulated learning are not easily measured. Thus, research has presented and suggested numerous ways in which these processes and perceptions of self-regulated learning can be investigated and assessed. Accordingly, this study aims to assess whether training in how to regulate one's learning is…

Exploring Self-Directed Learning in the Online Learning Environment: Comparing Traditional versus Nontraditional Learner Populations a Qualitative Study

ERIC Educational Resources Information Center

Plews, Rachel Christine

2016-01-01

The purpose of this study was to explore self-directed learning in the online learning context. A sample of traditional and nontraditional learners, who were considered above average in their level of self-direction, participated in qualitative interviews to discuss their learning while engaged in an online course. The findings suggested no major…

High School Students' Epistemological Beliefs, Conceptions of Learning, and Self-Efficacy for Learning Biology: A Study of Their Structural Models

ERIC Educational Resources Information Center

Sadi, Özlem; Dagyar, Miray

2015-01-01

The current work reveals the data of the study which examines the relationships among epistemological beliefs, conceptions of learning, and self-efficacy for biology learning with the help of the Structural Equation Modeling. Three questionnaires, the Epistemological Beliefs, the Conceptions of Learning Biology and the Self-efficacy for Learning…

An appraisal of students' awareness of "self-reflection" in a first-year pathology course of undergraduate medical/dental education.

PubMed

Kanthan, Rani; Senger, Jenna-Lynn B

2011-09-23

Self-reflection and reflective practice are increasingly considered as essential attributes of competent professionals functioning in complex and ever-changing healthcare systems of the 21st century. The aim of this study was to determine the extent of students' awareness and understanding of the reflective process and the meaning of 'self-reflection' within the contextual framework of their learning environment in the first-year of their medical/dental education. We endorse that the introduction of such explicit educational tasks at this early stage enhances and promotes students' awareness, understanding, and proficiency of this skill in their continuing life-long health professional learning. Over two years, students registered in first-year pathology at the University of Saskatchewan were introduced to a self-reflection assignment which comprised in the submission of a one-page reflective document to a template of reflective questions provided in the given context of their learning environment. This was a mandatory but ungraded component at the midterm and final examinations. These documents were individually analyzed and thematically categorized to a "5 levels-of-reflection-awareness" scale using a specially-designed rubric based on the accepted major theories of reflection that included students' identification of: 1) personal abilities, 2) personal learning styles 3) relationships between course material and student history 4) emotional responses and 5) future applications. 410 self-reflection documents were analyzed. The student self-awareness on personal learning style (72.7% level 3+) and course content (55.2% level 3+) were well-reflected. Reflections at a level 1 awareness included identification of a) specific teaching strategies utilized to enhance learning (58.4%), b) personal strengths/weaknesses (53%), and c) emotional responses, values, and beliefs (71.5%). Students' abilities to connect information to life experiences and to future events with understanding were more evenly distributed across all 5 levels of reflection-awareness. Exposure to self-reflection assignments in the early years of undergraduate medical education increases student awareness and promotes the creation of personal meaning of one's reactions, values, and premises in the context of student learning environments. Early introduction with repetition to such cognitive processes as practice tools increases engagement in reflection that may facilitate proficiency in mastering this competency leading to the creation of future reflective health professionals.

An appraisal of students' awareness of "self-reflection" in a first-year pathology course of undergraduate medical/dental education

PubMed Central

2011-01-01

Background Self-reflection and reflective practice are increasingly considered as essential attributes of competent professionals functioning in complex and ever-changing healthcare systems of the 21st century. The aim of this study was to determine the extent of students' awareness and understanding of the reflective process and the meaning of 'self-reflection' within the contextual framework of their learning environment in the first-year of their medical/dental education. We endorse that the introduction of such explicit educational tasks at this early stage enhances and promotes students' awareness, understanding, and proficiency of this skill in their continuing life-long health professional learning. Methods Over two years, students registered in first-year pathology at the University of Saskatchewan were introduced to a self-reflection assignment which comprised in the submission of a one-page reflective document to a template of reflective questions provided in the given context of their learning environment. This was a mandatory but ungraded component at the midterm and final examinations. These documents were individually analyzed and thematically categorized to a "5 levels-of-reflection-awareness" scale using a specially-designed rubric based on the accepted major theories of reflection that included students' identification of: 1) personal abilities, 2) personal learning styles 3) relationships between course material and student history 4) emotional responses and 5) future applications. Results 410 self-reflection documents were analyzed. The student self-awareness on personal learning style (72.7% level 3+) and course content (55.2% level 3+) were well-reflected. Reflections at a level 1 awareness included identification of a) specific teaching strategies utilized to enhance learning (58.4%), b) personal strengths/weaknesses (53%), and c) emotional responses, values, and beliefs (71.5%). Students' abilities to connect information to life experiences and to future events with understanding were more evenly distributed across all 5 levels of reflection-awareness. Conclusions Exposure to self-reflection assignments in the early years of undergraduate medical education increases student awareness and promotes the creation of personal meaning of one's reactions, values, and premises in the context of student learning environments. Early introduction with repetition to such cognitive processes as practice tools increases engagement in reflection that may facilitate proficiency in mastering this competency leading to the creation of future reflective health professionals. PMID:21943239

Towards a Causal Model of Learned Hopelessness for Hong Kong Adolescents.

ERIC Educational Resources Information Center

Au, Chung-Park; Watkins, David

1997-01-01

Interprets a survey of junior secondary students conducted to examine the role of learned hopelessness and academic self-esteem in academic achievement. Finds that learned hopelessness and academic self-esteem play separate mediating roles between prior academic failure and academic achievement; learned hopelessness and academic self-esteem have…

Active Learning and Self-Regulation Enhance Student Teachers' Professional Competences

ERIC Educational Resources Information Center

Virtanen, Päivi; Niemi, Hannele M.; Nevgi, Anne

2017-01-01

The study identifies the relationships between active learning, student teachers' self-regulated learning and professional competences. Further, the aim is to investigate how active learning promotes professional competences of student teachers with different self-regulation profiles. Responses from 422 student teachers to an electronic survey…

Learner Managed Learning: Managing To Learn or Learning To Manage?

ERIC Educational Resources Information Center

Harrison, Roger

2000-01-01

In the discourse of learner self-management, learners must take responsibility for learning and are offered the possibility of individual autonomy and control. A critical perspective reveals that environmental constraints inhibit the success of technical-rational self-management techniques. An alternative view is the entrepreneurial self, a…

Measuring Self-Directed Learning: A Diagnostic Tool for Adult Learners

ERIC Educational Resources Information Center

Khiat, Henry

2015-01-01

Self-directed learning is an important form of adult learning (Caffarella, 1993; Knowles, 1975; Knowles, Holton & Swanson, 2005; Merriam, 2001; Merriam & Caffarella, 1999). The strategies of self-directed learning allow adult learners to cope better with their studies while fulfilling family, work and other commitments. This study…

Student Teachers' Emotional Landscapes in Self- and Co-Regulated Learning

ERIC Educational Resources Information Center

Saariaho, Emmi; Anttila, Henrika; Toom, Auli; Soini, Tiina; Pietarinen, Janne; Pyhältö, Kirsi

2018-01-01

Self- and co-regulation are central elements in skillful student-teacher learning. Studies have confirmed the interrelation between positive academic emotions and student engagement in self-regulated learning. There are also indicators of student-teachers experiencing co-regulative learning activities as highly significant. Yet, we know…

Investigation the Relationship among Language Learning Strategies, English Self-Efficacy, and Explicit Strategy Instructions

ERIC Educational Resources Information Center

Yang, Pei-Ling; Wang, Ai-Ling

2015-01-01

The present study aims to investigate the relationship among EFL college learners' language learning strategies, English self-efficacy, and explicit strategy instruction from the perspectives of Social Cognitive Theory. Three constructs, namely language learning strategies, English learning self-efficacy, and explicit strategy instruction, were…

Self-Directed Learning in the Process of Work: Conceptual Considerations--Empirical Evidences.

ERIC Educational Resources Information Center

Straka, Gerald A.; Schaefer, Cornelia

With reference to the literature on adult self-directed learning, a model termed the "Two-Shell Model of Motivated Self-Directed Learning" was formulated that differentiates sociohistorical environmental conditions, internal conditions, and activities related to four concepts (interest, learning strategies, control, and evaluation). The…

Self-Esteem and Facial Attractiveness among Learning Disabled Children.

ERIC Educational Resources Information Center

Anderson, Lisa K.; And Others

Past research has demonstrated a relationship between children's physical attractiveness and their self-esteem. Other research has found that learning disabled children are at risk for having low self-esteem. This study examined the relationship between self-esteem and facial attractiveness in learning disabled children. Subjects were 20 diagnosed…

A Self-Regulatory Approach to Classroom Management: Empowering Students and Teachers

ERIC Educational Resources Information Center

Alderman, M. Kay; MacDonald, Suzanne

2015-01-01

Development of motivation and self-regulated learning skills can take classroom management beyond the role of maintaining order in the classroom to empower students and teachers for lifetime learning. The authors describe self-regulated learning, student strategies, and the classroom structure that supports motivation and self-regulation.

Evaluating the Effectiveness of the Self-Test on Structured Classroom Learning

ERIC Educational Resources Information Center

Gilkey, Anthony Dean

1977-01-01

The study focused on the effect of the self-evaluation component of self-instructional packets in radiologic technology programs. It was found that the self-evaluation component clearly had a significant positive effect on learning, although the relative learning contribution of the component was not established. (MF)

The Effects of Design Strategies for Promoting Students' Self-Regulated Learning Skills on Students' Self-Regulation and Achievements in Online Learning Environments

ERIC Educational Resources Information Center

Cho, Moon-Heum

2004-01-01

The purpose of this study was to investigate the effects of design strategies for promoting students' self-regulated learning skills on students' self-regulation and achievements. Seven strategies for promoting students' SRL are identified through the literature review and applied into the experimental group: goal setting, self-evaluation,…

Examining the Self-Congruent Engagement Hypothesis: The Link between Academic Self-Schemas, Motivational Goals, Learning Approaches and Achievement within an Academic Year

ERIC Educational Resources Information Center

Ng, Chi-hung Clarence

2014-01-01

Academic self-schemas are important cognitive frames capable of guiding students' learning engagement. Using a cohort of Year 10 Australian students, this longitudinal study examined the self-congruence engagement hypothesis which maintains that there is a close relationship among academic self-schemas, achievement goals, learning approaches,…

A Meta-Analysis of Self-Regulated Learning in Work-Related Training and Educational Attainment: What We Know and Where We Need to Go

ERIC Educational Resources Information Center

Sitzmann, Traci; Ely, Katherine

2011-01-01

Researchers have been applying their knowledge of goal-oriented behavior to the self-regulated learning domain for more than 30 years. This review examines the current state of research on self-regulated learning and gaps in the field's understanding of how adults regulate their learning of work-related knowledge and skills. Self-regulation theory…

Effects of differences in problem-based learning course length on academic motivation and self-directed learning readiness in medical school students.

PubMed

Yune, So Jung; Im, Sun Ju; Lee, Sun Hee; Baek, Sun Yong; Lee, Sang Yeoup

2010-03-01

Problem-based learning (PBL) is an educational approach in which complex authentic problems serve as the context and stimulus for learning. PBL is designed to encourage active participation during learning. The goal of this study was to study the effects of PBL on academic motivation and self-directed learning readiness in medical school students. The subjects of this study were 190 students in the 1st and 2nd grade of medical school. The period of the PBL course was two weeks for Year 1 and five weeks for Year 2 students. Students completed one module over one week. Academic motivation tests and self-directed learning readiness tests were performed before and after the PBL course. The differences between the two groups were analyzed using paired t-test and repeated measures MANCOVA. PBL had positive effects on academic self-efficacy (self-control efficacy, task-level preference) and academic failure tolerance (behavior, task-difficulty preference) as academic motivation. PBL had a mildly positive effect on self-directed learning readiness. In addition, the five-week PBL course had greater positive effects on academic motivation than the two-week course but not with regard to self-directed learning readiness. Medical students engage in academic motivation and self-directed learning readiness during PBL, suggesting that the five-week PBL course has greater positive effects than the two-week course. Future studies are needed to confirm the most effective periods of PBL.

Strategies and Rubrics for Teaching Complex Systems Theory to Novices (Invited)

NASA Astrophysics Data System (ADS)

Fichter, L. S.

2010-12-01

Bifurcation. Self-similarity. Fractal. Sensitive dependent. Agents. Self-organized criticality. Avalanche behavior. Power laws. Strange attractors. Emergence. The language of complexity is fundamentally different from the language of equilibrium. If students do not know these phenomena, and what they tell us about the pulse of dynamic systems, complex systems will be opaque. A complex system is a group of agents. (individual interacting units, like birds in a flock, sand grains in a ripple, or individual friction units along a fault zone), existing far from equilibrium, interacting through positive and negative feedbacks, following simple rules, forming interdependent, dynamic, evolutionary networks. Complex systems produce behaviors that cannot be predicted deductively from knowledge of the behaviors of the individual components themselves; they must be experienced. What complexity theory demonstrates is that, by following simple rules, all the agents end up coordinating their behavior—self organizing—so that what emerges is not chaos, but meaningful patterns. How can we introduce Freshman, non-science, general education students to complex systems theories, in 3 to 5 classes; in a way they really get it, and can use the principles to understand real systems? Complex systems theories are not a series of unconnected or disconnected equations or models; they are developed as narratives that makes sense of how all the pieces and properties are interrelated. The principles of complex systems must be taught as deliberately and systematically as the equilibrium principles normally taught; as, say, the systematic training from pre-algebra and geometry to algebra. We have developed a sequence of logically connected narratives (strategies and rubrics) that introduce complex systems principles using models that can be simulated in a computer, in class, in real time. The learning progression has a series of 12 models (e.g. logistic system, bifurcation diagrams, genetic algorithms, etc.) leading to 19 learning outcomes that encompass most of the universality properties that characterize complex systems. They are developed in a specific order to achieve specific ends of understanding. We use these models in various depths and formats in courses ranging from gened courses, to evolutionary systems and environmental systems, to upper level geology courses. Depending on the goals of a course, the learning outcomes can be applied to understanding many other complex systems; e.g. oscillating chemical reactions (reaction-diffusion and activator-inhibitor systems), autocatalytic networks, hysteresis (bistable) systems, networks, and the rise/collapse of complex societies. We use these and other complex systems concepts in various classes to talk about the origin of life, ecosystem organization, game theory, extinction events, and environmental system behaviors. The applications are almost endless. The complete learning progression with models, computer programs, experiments, and learning outcomes is available at: www.jmu.edu/geology/ComplexEvolutionarySystems/

Proactive learning for artificial cognitive systems

NASA Astrophysics Data System (ADS)

Lee, Soo-Young

2010-04-01

The Artificial Cognitive Systems (ACS) will be developed for human-like functions such as vision, auditory, inference, and behavior. Especially, computational models and artificial HW/SW systems will be devised for Proactive Learning (PL) and Self-Identity (SI). The PL model provides bilateral interactions between robot and unknown environment (people, other robots, cyberspace). For the situation awareness in unknown environment it is required to receive audiovisual signals and to accumulate knowledge. If the knowledge is not enough, the PL should improve by itself though internet and others. For human-oriented decision making it is also required for the robot to have self-identify and emotion. Finally, the developed models and system will be mounted on a robot for the human-robot co-existing society. The developed ACS will be tested against the new Turing Test for the situation awareness. The Test problems will consist of several video clips, and the performance of the ACSs will be compared against those of human with several levels of cognitive ability.

The Association between Motivation, Affect, and Self-regulated Learning When Solving Problems.

PubMed

Baars, Martine; Wijnia, Lisette; Paas, Fred

2017-01-01

Self-regulated learning (SRL) skills are essential for learning during school years, particularly in complex problem-solving domains, such as biology and math. Although a lot of studies have focused on the cognitive resources that are needed for learning to solve problems in a self-regulated way, affective and motivational resources have received much less research attention. The current study investigated the relation between affect (i.e., Positive Affect and Negative Affect Scale), motivation (i.e., autonomous and controlled motivation), mental effort, SRL skills, and problem-solving performance when learning to solve biology problems in a self-regulated online learning environment. In the learning phase, secondary education students studied video-modeling examples of how to solve hereditary problems, solved hereditary problems which they chose themselves from a set of problems with different complexity levels (i.e., five levels). In the posttest, students solved hereditary problems, self-assessed their performance, and chose a next problem from the set of problems but did not solve these problems. The results from this study showed that negative affect, inaccurate self-assessments during the posttest, and higher perceptions of mental effort during the posttest were negatively associated with problem-solving performance after learning in a self-regulated way.

Cross-cultural comparisons of university students' science learning self-efficacy: structural relationships among factors within science learning self-efficacy

NASA Astrophysics Data System (ADS)

Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

2018-04-01

Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in explaining the relationships among these factors. Accordingly, this study aimed to investigate cultural differences in science learning self-efficacy and examine the relationships within factors constituting science learning self-efficacy by adopting a survey instrument for administration to students in the U.S. and Taiwan. A total of 218 university students (62.40% females) were surveyed in the U.S.A, and 224 university students (49.10% females) in Taiwan were also invited to take part in the study. The results of the structural equation modelling revealed cultural differences in the relationships among the factors of science learning self-efficacy. It was found that U.S. students' confidence in their ability to employ higher-order cognitive skills tended to promote their confidence in their ability to accomplish practical work, strengthening their academic self-efficacy. However, the aforementioned mediation was not found for the Taiwanese participants.

Self-controlled learning benefits: exploring contributions of self-efficacy and intrinsic motivation via path analysis.

PubMed

Ste-Marie, Diane M; Carter, Michael J; Law, Barbi; Vertes, Kelly; Smith, Victoria

2016-09-01

Research has shown learning advantages for self-controlled practice contexts relative to yoked (i.e., experimenter-imposed) contexts; yet, explanations for this phenomenon remain relatively untested. We examined, via path analysis, whether self-efficacy and intrinsic motivation are important constructs for explaining self-controlled learning benefits. The path model was created using theory-based and empirically supported relationships to examine causal links between these psychological constructs and physical performance. We hypothesised that self-efficacy and intrinsic motivation would have greater predictive power for learning under self-controlled compared to yoked conditions. Participants learned double-mini trampoline progressions, and measures of physical performance, self-efficacy and intrinsic motivation were collected over two practice days and a delayed retention day. The self-controlled group (M = 2.04, SD = .98) completed significantly more skill progressions in retention than their yoked counterparts (M = 1.3, SD = .65). The path model displayed adequate fit, and similar significant path coefficients were found for both groups wherein each variable was predominantly predicted by its preceding time point (e.g., self-efficacy time 1 predicts self-efficacy time 2). Interestingly, the model was not moderated by group; thus, failing to support the hypothesis that self-efficacy and intrinsic motivation have greater predictive power for learning under self-controlled relative to yoked conditions.

Machine learning, social learning and the governance of self-driving cars.

PubMed

Stilgoe, Jack

2018-02-01

Self-driving cars, a quintessentially 'smart' technology, are not born smart. The algorithms that control their movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine learning, as well as a test case for social learning in technology governance. Society is learning about the technology while the technology learns about society. Understanding and governing the politics of this technology means asking 'Who is learning, what are they learning and how are they learning?' Focusing on the successes and failures of social learning around the much-publicized crash of a Tesla Model S in 2016, I argue that trajectories and rhetorics of machine learning in transport pose a substantial governance challenge. 'Self-driving' or 'autonomous' cars are misnamed. As with other technologies, they are shaped by assumptions about social needs, solvable problems, and economic opportunities. Governing these technologies in the public interest means improving social learning by constructively engaging with the contingencies of machine learning.

Assessing curriculum effectiveness: a survey of Uniformed Services University medical school graduates.

PubMed

Picho, Katherine; Gilliland, William R; Artino, Anthony R; DeZee, Kent J; Dong, Ting; McManigle, John E; Cruess, David F; Durning, Steven J

2015-04-01

This study assessed alumni perceptions of their preparedness for clinical practice using the Accreditation Council for Graduate Medical Education (ACGME) competencies. We hypothesized that our alumni's perception of preparedness would be highest for military-unique practice and professionalism and lowest for system-based practice and practice-based learning and improvement. 1,189 alumni who graduated from the Uniformed Services University (USU) between 1980 and 2001 completed a survey modeled to assess the ACGME competencies on a 5-point, Likert-type scale. Specifically, self-reports of competencies related to patient care, communication and interpersonal skills, medical knowledge, professionalism, systems-based practice, practice-based learning and improvement, and military-unique practice were evaluated. Consistent with our expectations as the nation's military medical school, our graduates were most confident in their preparedness for military-unique practice, which included items assessing military leadership (M = 4.30, SD = 0.65). USU graduates also indicated being well prepared for the challenges of residency education in the domain of professionalism (M = 4.02, SD = 0.72). Self-reports were also high for competencies related to patient care (M = 3.86, SD = 0.68), communication and interpersonal skills (M = 3.88, SD = 0.66), and medical knowledge (M = 3.78, SD = 0.73). Consistent with expectations, systems-based practice (M = 3.50, SD = 0.70) and practice-based learning and improvement (M = 3.57, SD = 0.62) were the lowest rated competencies, although self-reported preparedness was still quite high. Our findings suggest that, from the perspective of our graduates, USU is providing both an effective military-unique curriculum and is preparing trainees for residency training. Further, these results support the notion that graduates are prepared to lead and to practice medicine in austere environments. Compared to other competencies that were assessed, self-ratings for systems-based practice and practice-based learning and improvement were the lowest, which suggests the need to continue to improve USU education in these areas. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.

Pattern classification and recognition of invertebrate functional groups using self-organizing neural networks.

PubMed

Zhang, WenJun

2007-07-01

Self-organizing neural networks can be used to mimic non-linear systems. The main objective of this study is to make pattern classification and recognition on sampling information using two self-organizing neural network models. Invertebrate functional groups sampled in the irrigated rice field were classified and recognized using one-dimensional self-organizing map and self-organizing competitive learning neural networks. Comparisons between neural network models, distance (similarity) measures, and number of neurons were conducted. The results showed that self-organizing map and self-organizing competitive learning neural network models were effective in pattern classification and recognition of sampling information. Overall the performance of one-dimensional self-organizing map neural network was better than self-organizing competitive learning neural network. The number of neurons could determine the number of classes in the classification. Different neural network models with various distance (similarity) measures yielded similar classifications. Some differences, dependent upon the specific network structure, would be found. The pattern of an unrecognized functional group was recognized with the self-organizing neural network. A relative consistent classification indicated that the following invertebrate functional groups, terrestrial blood sucker; terrestrial flyer; tourist (nonpredatory species with no known functional role other than as prey in ecosystem); gall former; collector (gather, deposit feeder); predator and parasitoid; leaf miner; idiobiont (acarine ectoparasitoid), were classified into the same group, and the following invertebrate functional groups, external plant feeder; terrestrial crawler, walker, jumper or hunter; neustonic (water surface) swimmer (semi-aquatic), were classified into another group. It was concluded that reliable conclusions could be drawn from comparisons of different neural network models that use different distance (similarity) measures. Results with the larger consistency will be more reliable.

Intelligent manipulation technique for multi-branch robotic systems

NASA Technical Reports Server (NTRS)

Chen, Alexander Y. K.; Chen, Eugene Y. S.

1990-01-01

New analytical development in kinematics planning is reported. The INtelligent KInematics Planner (INKIP) consists of the kinematics spline theory and the adaptive logic annealing process. Also, a novel framework of robot learning mechanism is introduced. The FUzzy LOgic Self Organized Neural Networks (FULOSONN) integrates fuzzy logic in commands, control, searching, and reasoning, the embedded expert system for nominal robotics knowledge implementation, and the self organized neural networks for the dynamic knowledge evolutionary process. Progress on the mechanical construction of SRA Advanced Robotic System (SRAARS) and the real time robot vision system is also reported. A decision was made to incorporate the Local Area Network (LAN) technology in the overall communication system.

Enhancement of Self Efficacy of Vocational School Students in Buffer Solution Topics through Guided Inquiry Learning

NASA Astrophysics Data System (ADS)

M, Ardiany; W, Wahyu; A, Supriatna

2017-09-01

The more students who feel less confident in learning, so doing things that are less responsible, such as brawl, drunkenness and others. So researchers need to do research related to student self efficacy in learning, in order to reduce unwanted things. This study aims to determine the effect of guided inquiry learning on improving self-efficacy of learners in the buffer solution topics. The method used is the mixed method which is the two group pretest postest design. The subjects of the study are 60 students of class XI AK in one of the SMKN in Bandung, consisting of 30 experimental class students and 30 control class students. The instruments used in this study mix method consist of self-efficacy questionnaire of pretest and posttest learners, interview guides, and observation sheet. Data analysis using t test with significant α = 0,05. Based on the result of inquiry of guided inquiry study, there is a significant improvement in self efficacy aspect of students in the topic of buffer solution. Data of pretest and posttest interview, observation, questionnaire showed significant result, that is improvement of experimental class with conventionally guided inquiry learning. The mean of self-efficacy of student learning there is significant difference of experiment class than control class equal to 0,047. There is a significant relationship between guided inquiry learning with self efficacy and guided inquiry learning. Each correlation value is 0.737. The learning process with guided inquiry is fun and challenging so that students can expose their ideas and opinions without being forced. From the results of questionnaires students showed an attitude of interest, sincerity and a good response of learning. While the results of questionnaires teachers showed that guided inquiry learning can make students learn actively, increased self-efficacy.

An Interactive Computer-Based Conferencing System to Accommodate Students' Learning Process.

ERIC Educational Resources Information Center

Saiedian, Hossein

1993-01-01

Describes an integrated computer-based conferencing and mail system called ICMS (Integrated Conferencing and Mail System) that was developed to encourage students to participate in class discussions more actively. The menu-driven user interface is explained, and ICMS's role in promoting self-assessment and critical thinking is discussed. (eight…

Boring but Important: A Self-Transcendent Purpose for Learning Fosters Academic Self-Regulation

PubMed Central

Yeager, David S.; Henderson, Marlone D.; D’Mello, Sidney; Paunesku, David; Walton, Gregory M.; Spitzer, Brian J.; Duckworth, Angela Lee

2015-01-01

Many important learning tasks feel uninteresting and tedious to learners. This research proposed that promoting a prosocial, self-transcendent purpose could improve academic self-regulation on such tasks. This proposal was supported in four studies with over 2,000 adolescents and young adults. Study 1 documented a correlation between a self-transcendent purpose for learning and self-reported trait measures of academic self-regulation. Those with more of a purpose for learning also persisted longer on a boring task rather than giving in to a tempting alternative, and, many months later, were less likely to drop out of college. Study 2 addressed causality. It showed that a brief, one-time psychological intervention promoting a self-transcendent purpose for learning could improve high school science and math GPA over several months. Studies 3 and 4 were short-term experiments that explored possible mechanisms. They showed that the self-transcendent purpose manipulation could increase deeper learning behavior on tedious test review materials (Study 3), and sustain self-regulation over the course of an increasingly-boring task (Study 4). More self-oriented motives for learning—such as the desire to have an interesting or enjoyable career—did not, on their own, consistently produce these benefits (Studies 1 and 4). PMID:25222648

Energy--Structure--Life. A Learning System for Understanding Science, Book Two.

ERIC Educational Resources Information Center

Bixby, Louis W.; And Others

This learning guide contains materials for the second year of Energy/Structure/ Life, a two year high school program in integrated science. The guide is programed to permit the student to proceed on his own at a self-determined pace. The two year course is a sequence of physics, chemistry, and biology with the chemical (continued from the first…

Acquisition of Computer Literacy Skills through Self-Organizing Systems of Learning among Children in Bhutan and India

ERIC Educational Resources Information Center

Mitra, Sugata; Dangwal, Ritu

2017-01-01

This article describes a study under the Reaching the Unreached component of the Chiphen Rigpel project between the governments of Bhutan and India. This initiative is an attempt to provide computer literacy to children of Bhutan through setting up "hole in the wall" (HiWEL) Playground Learning Station(s) (PLSs). The study described here…

Developing a Cross-Platform Web Application for Online EFL Vocabulary Learning Courses

ERIC Educational Resources Information Center

Enokida, Kazumichi; Sakaue, Tatsuya; Morita, Mitsuhiro; Kida, Shusaku; Ohnishi, Akio

2017-01-01

In this paper, the development of a web application for self-access English vocabulary courses at a national university in Japan will be reported upon. Whilst the basic concepts are inherited from an old Flash-based online vocabulary learning system that had been long used at the university, the new HTML5-based app comes with several new features…

The Implementation of an Individualized Curriculum in Periodontology at the Temple University School of Dentistry.

ERIC Educational Resources Information Center

Salkin, Leslie M.; And Others

An individualized, self-paced curriculum at Temple University Dental School is being used to break the lock-step pattern of the lecture-oriented system and to help students reach the clinical learning environment more quickly. Freshmen begin work in periodontology with 12 programed lessons studied in a Learning Resources Center open 75 hours a…

Evaluating the Effectiveness of a Multimedia Tutorial System on Computer Self-Efficacy and Learning Outcomes of Mathematics Students

ERIC Educational Resources Information Center

Coleman-Huggins, Gwendolyn

2012-01-01

The need for high quality experimental research on the effectiveness of multimedia learning in K-12 schools is immense when considering the need to provide the best education for each child. However, there is little evidence-based research available to guide education leaders' decisions relating to technology initiatives. Therefore, the…

Social anxiety is characterized by biased learning about performance and the self.

PubMed

Koban, Leonie; Schneider, Rebecca; Ashar, Yoni K; Andrews-Hanna, Jessica R; Landy, Lauren; Moscovitch, David A; Wager, Tor D; Arch, Joanna J

2017-12-01

People learn about their self from social information, and recent work suggests that healthy adults show a positive bias for learning self-related information. In contrast, social anxiety disorder (SAD) is characterized by a negative view of the self, yet what causes and maintains this negative self-view is not well understood. Here the authors use a novel experimental paradigm and computational model to test the hypothesis that biased social learning regarding self-evaluation and self-feelings represents a core feature that distinguishes adults with SAD from healthy controls. Twenty-one adults with SAD and 35 healthy controls (HCs) performed a speech in front of 3 judges. They subsequently evaluated themselves and received performance feedback from the judges and then rated how they felt about themselves and the judges. Affective updating (i.e., change in feelings about the self over time, in response to feedback from the judges) was modeled using an adapted Rescorla-Wagner learning model. HCs demonstrated a positivity bias in affective updating, which was absent in SAD. Further, self-performance ratings revealed group differences in learning from positive feedback-a difference that endured at an average of 1 year follow up. These findings demonstrate the presence and long-term endurance of positively biased social learning about the self among healthy adults, a bias that is absent or reversed among socially anxious adults. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Correlational Analysis of Adult Students' Self-Directed Learning Readiness, Affective Learning Outcomes, Prior Electronic Learning Experience, and Age in Hybrid and Online Course-Delivery Formats

ERIC Educational Resources Information Center

Nikitenko, Gleb

2009-01-01

The self-directed learning (SDL) in all of its characteristics measured in students and in various learning contexts continues to have a very important role in educational research and requires new explorations. Contemporary research indicates that there is a direct positive relationship between the level of student self-directed learning…

The Development of Economic Self-Sufficiency among Former Welfare Recipients: Lessons Learned from Wisconsin's Welfare to Work Program

ERIC Educational Resources Information Center

Alfred, Mary V.; Martin, Larry G.

2007-01-01

In 1996, the US Congress passed the Personal Responsibility and Work Opportunity Reconciliation Act, changing the culture of welfare from a system of dependency to one of personal responsibility and economic self-sufficiency through workplace participation. Through the expert views of case managers and area employers of Wisconsin, this research…

Brief Report: Learning via the Electronic Interactive Whiteboard for Two Students with Autism and a Student with Moderate Intellectual Disability

ERIC Educational Resources Information Center

Yakubova, Gulnoza; Taber-Doughty, Teresa

2013-01-01

The effects of a multicomponent intervention (a self-operated video modeling and self-monitoring delivered via an electronic interactive whiteboard (IWB) and a system of least prompts) on skill acquisition and interaction behavior of two students with autism and one student with moderate intellectual disability were examined using a multi-probe…

Considering student choice when selecting instructional strategies: a comparison of three prompting systems.

PubMed

Taber-Doughty, Teresa

2005-01-01

Three secondary age students with moderate intellectual disabilities learned to use the system of least prompts, a self-operated picture prompting system, and a self-operated auditory prompting system to use a copy machine and a debit machine. Both the effectiveness and efficiency of these prompting systems were compared. Additionally, student preference of instructional method was examined. The results demonstrated that each prompting system was effective and efficient with varying students when skill acquisition and duration of task performance were measured. All students demonstrated increased independence in completing both tasks. This study found that the preferred prompting systems were more effective in terms of both skill acquisition and duration for completing tasks for students.

Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning Environments

ERIC Educational Resources Information Center

Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam

2015-01-01

Researchers have long recognized the potential benefits of open-ended computer- based learning environments (OELEs) to help students develop self-regulated learning (SRL) behaviours. However, measuring self-regulation in these environments is a difficult task. In this paper, we present our work in developing and evaluating "coherence…

A Competence-Based Service for Supporting Self-Regulated Learning in Virtual Environments

ERIC Educational Resources Information Center

Nussbaumer, Alexander; Hillemann, Eva-Catherine; Gütl, Christian; Albert, Dietrich

2015-01-01

This paper presents a conceptual approach and a Web-based service that aim at supporting self-regulated learning in virtual environments. The conceptual approach consists of four components: 1) a self-regulated learning model for supporting a learner-centred learning process, 2) a psychological model for facilitating competence-based…

Self-Regulatory Behaviors and Approaches to Learning of Arts Students: A Comparison between Professional Training and English Learning

ERIC Educational Resources Information Center

Tseng, Min-chen; Chen, Chia-cheng

2017-01-01

This study investigated the self-regulatory behaviors of arts students, namely memory strategy, goal-setting, self-evaluation, seeking assistance, environmental structuring, learning responsibility, and planning and organizing. We also explored approaches to learning, including deep approach (DA) and surface approach (SA), in a comparison between…

Learning to Parent Again: An Investigation of the Role of Adult Education in the Phenomenon of Grandparents Raising Grandchildren

ERIC Educational Resources Information Center

Stover, Deborah Annette

2013-01-01

This study examined the readiness for self-direct learning of parenting grandmothers. The researcher investigated whether parental self-efficacy beliefs and addiction beliefs were significantly correlated to parenting grandmothers' readiness for self-directed learning as measured by the Oddi Continuing Learning Instrument. Parental…

High School Foreign Language Students' Perceptions of Language Learning Strategies Use and Self-Efficacy.

ERIC Educational Resources Information Center

National Capital Language Resource Center, Washington, DC.

This study investigated the relationship of language learning strategies use and self-efficacy of high school students learning Chinese, German, Russian, Japanese, and Spanish. Through two questionnaires, The Language Learning Strategies Questionnaire and The Self-Efficacy Questionnaire, researchers were able to collect and analyze data on…

Exploring First-Year Undergraduate Medical Students' Self-Directed Learning Readiness to Physiology

ERIC Educational Resources Information Center

Abraham, Reem Rachel; Fisher, Murray; Kamath, Asha; Izzati, T. Aizan; Nabila, Saidatul; Atikah, Nik Nur

2011-01-01

Medical students are expected to possess self-directed learning skills to pursue lifelong learning. Previous studies have reported that the readiness for self-directed learning depends on personal attributes as well as the curriculum followed in institutions. Melaka Manipal Medical College of Manipal University (Karnataka, India) offers a Bachelor…

Teaching and Learning Hand in Hand: Adaptive Teaching and Self-Regulated Learning

ERIC Educational Resources Information Center

Randi, Judi

2017-01-01

This article presents case studies of two novice teachers and their mentors who, without formal knowledge of self-regulation theory, established a classroom environment that promoted self-regulated learning. This case was drawn from a larger descriptive study of novice teachers learning to integrate a student-centered visual literacy instructional…

Exploring Prospective EFL Teachers' Perceived Self-Efficacy and Beliefs on English Language Learning

ERIC Educational Resources Information Center

Genç, Gülten; Kulusakli, Emine; Aydin, Savas

2016-01-01

Learners' perceived self-efficacy and beliefs on English language learning are important in education. Taking into consideration the important impact of individual variables on language learning, this study seeks to highlight the relationship between Turkish EFL learners' beliefs about language learning and their sense of self-efficacy. The…

Learning from the coffee shop: increasing junior high school students’ self-confidence through contextual learning based on local culture of Aceh

NASA Astrophysics Data System (ADS)

Sarmini; Supriono, A.; Ridwan

2018-01-01

Teachers should be able to provide meaningful learning, create a fun learning, and encourage the self-confidence of students. The reality is learning in Junior High School still teacher-centered learning that results the level of self-confidence of students is low. Pre-action showed 30% of students do not have self-confidence. The research aims to improve the self-confidence of students through contextual learning in the course from the social studies of Aceh based on the local culture. This type of research is classroom action research that conducted in two cycles. The research focus is the students’ responses. The coffee shop is a source of learning social studies. Students Involved in the coffee shop interact with villagers who have made the coffee shop as social media. Students participate meetings to address issues of rural villagers. The coffee shop as a public share with characteristics of particularly subject as a gathering place for many people regardless of social strata, convey information, chat, and informal atmosphere that stimulates self-confidence.