Using computer-assisted learning to engage diverse learning styles in understanding business management principles.

Science.gov (United States)

Frost, Mary E; Derby, Dustin C; Haan, Andrea G

2013-01-01

Objective : Changes in small business and insurance present challenges for newly graduated chiropractors. Technology that reaches identified, diverse learning styles may assist the chiropractic student in business classes to meet course outcomes better. Thus, the purpose of our study is to determine if the use of technology-based instructional aids enhance students' mastery of course learning outcomes. Methods : Using convenience sampling, 86 students completed a survey assessing course learning outcomes, learning style, and the helpfulness of lecture and computer-assisted learning related to content mastery. Quantitative analyses occurred. Results : Although respondents reported not finding the computer-assisted learning as helpful as the lecture, significant relationships were found between pre- and post-assisted learning measures of the learning outcomes 1 and 2 for the visual and kinesthetic groups. Surprisingly, however, all learning style groups exhibited significant pre- and post-assisted learning appraisal relationships with learning outcomes 3 and 4. Conclusion : While evidence exists within the current study of a relationship between students' learning of the course content corollary to the use of technologic instructional aids, the exact nature of the relationship remains unclear.

Integrating Computer-Assisted Language Learning in Saudi Schools: A Change Model

Science.gov (United States)

Alresheed, Saleh; Leask, Marilyn; Raiker, Andrea

2015-01-01

Computer-assisted language learning (CALL) technology and pedagogy have gained recognition globally for their success in supporting second language acquisition (SLA). In Saudi Arabia, the government aims to provide most educational institutions with computers and networking for integrating CALL into classrooms. However, the recognition of CALL's…

Analysis of Former Learning Assistants' Views on Cooperative Learning

Science.gov (United States)

Gray, Kara E.; Otero, Valerie K.

2009-11-01

The University of Colorado Learning Assistant (LA) program integrates a weekly education seminar, meetings with science faculty to review content, and a semester-long teaching experience that hires undergraduates to work with groups of students in university science courses. Following this three-pronged learning experience, some of the LAs continue into the teacher certification program. While previous research has shown that this model has more than doubled the number of science and math majors graduating with a teaching certification, the question remains whether these teachers are better prepared to teach. The analysis presented here addresses this question by comparing the views of former LAs to the views of comparable teachers on the issue of cooperative learning. Interviews were conducted with ten middle school and high school science teachers throughout their first year of teaching. Results suggest differences in former LAs views toward group work and their purposes for using group work.

GeoGebra Assist Discovery Learning Model for Problem Solving Ability and Attitude toward Mathematics

Science.gov (United States)

Murni, V.; Sariyasa, S.; Ardana, I. M.

2017-09-01

This study aims to describe the effet of GeoGebra utilization in the discovery learning model on mathematical problem solving ability and students’ attitude toward mathematics. This research was quasi experimental and post-test only control group design was used in this study. The population in this study was 181 of students. The sampling technique used was cluster random sampling, so the sample in this study was 120 students divided into 4 classes, 2 classes for the experimental class and 2 classes for the control class. Data were analyzed by using one way MANOVA. The results of data analysis showed that the utilization of GeoGebra in discovery learning can lead to solving problems and attitudes towards mathematics are better. This is because the presentation of problems using geogebra can assist students in identifying and solving problems and attracting students’ interest because geogebra provides an immediate response process to students. The results of the research are the utilization of geogebra in the discovery learning can be applied in learning and teaching wider subject matter, beside subject matter in this study.

Design of Intelligent Robot as A Tool for Teaching Media Based on Computer Interactive Learning and Computer Assisted Learning to Improve the Skill of University Student

Science.gov (United States)

Zuhrie, M. S.; Basuki, I.; Asto B, I. G. P.; Anifah, L.

2018-01-01

The focus of the research is the teaching module which incorporates manufacturing, planning mechanical designing, controlling system through microprocessor technology and maneuverability of the robot. Computer interactive and computer-assisted learning is strategies that emphasize the use of computers and learning aids (computer assisted learning) in teaching and learning activity. This research applied the 4-D model research and development. The model is suggested by Thiagarajan, et.al (1974). 4-D Model consists of four stages: Define Stage, Design Stage, Develop Stage, and Disseminate Stage. This research was conducted by applying the research design development with an objective to produce a tool of learning in the form of intelligent robot modules and kit based on Computer Interactive Learning and Computer Assisted Learning. From the data of the Indonesia Robot Contest during the period of 2009-2015, it can be seen that the modules that have been developed confirm the fourth stage of the research methods of development; disseminate method. The modules which have been developed for students guide students to produce Intelligent Robot Tool for Teaching Based on Computer Interactive Learning and Computer Assisted Learning. Results of students’ responses also showed a positive feedback to relate to the module of robotics and computer-based interactive learning.

Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing.

Science.gov (United States)

Obayashi, Chihiro; Tamei, Tomoya; Shibata, Tomohiro

2014-05-01

This paper proposes a novel robotic trainer for motor skill learning. It is user-adaptive inspired by the assist-as-needed principle well known in the field of physical therapy. Most previous studies in the field of the robotic assistance of motor skill learning have used predetermined desired trajectories, and it has not been examined intensively whether these trajectories were optimal for each user. Furthermore, the guidance hypothesis states that humans tend to rely too much on external assistive feedback, resulting in interference with the internal feedback necessary for motor skill learning. A few studies have proposed a system that adjusts its assistive strength according to the user's performance in order to prevent the user from relying too much on the robotic assistance. There are, however, problems in these studies, in that a physical model of the user's motor system is required, which is inherently difficult to construct. In this paper, we propose a framework for a robotic trainer that is user-adaptive and that neither requires a specific desired trajectory nor a physical model of the user's motor system, and we achieve this using model-free reinforcement learning. We chose dart-throwing as an example motor-learning task as it is one of the simplest throwing tasks, and its performance can easily be and quantitatively measured. Training experiments with novices, aiming at maximizing the score with the darts and minimizing the physical robotic assistance, demonstrate the feasibility and plausibility of the proposed framework. Copyright © 2014 Elsevier Ltd. All rights reserved.

A Peer-Assisted Learning Experience in Computer Programming Language Learning and Developing Computer Programming Skills

Science.gov (United States)

Altintas, Tugba; Gunes, Ali; Sayan, Hamiyet

2016-01-01

Peer learning or, as commonly expressed, peer-assisted learning (PAL) involves school students who actively assist others to learn and in turn benefit from an effective learning environment. This research was designed to support students in becoming more autonomous in their learning, help them enhance their confidence level in tackling computer…

Improvement of The Ability of Junior High School Students Thinking Through Visual Learning Assisted Geo gbra Tutorial

Science.gov (United States)

Elvi, M.; Nurjanah

2017-02-01

This research is distributed on the issue of the lack of visual thinking ability is a must-have basic ability of students in learning geometry. The purpose of this research is to investigate and elucide: 1) the enhancement of visual thinking ability of students to acquire learning assisted with geogebra tutorial learning: 2) the increase in visual thinking ability of students who obtained a model of learning assisted with geogebra and students who obtained a regular study of KAM (high, medium, and low). This research population is grade VII in Bandung Junior High School. The instruments used to collect data in this study consisted of instruments of the test and the observation sheet. The data obtained were analyzed using the test average difference i.e. Test-t and ANOVA Test one line to two lines. The results showed that: 1) the attainment and enhancement of visual thinking ability of students to acquire learning assisted geogebra tutorial better than students who acquire learning; 2) there may be differences of visual upgrade thinking students who acquire the learning model assisted with geogebra tutorial earn regular learning of KAM (high, medium and low).

Computer Assisted Language Learning (CALL): Using Internet for Effective Language Learning

NARCIS (Netherlands)

Kremenska, Anelly

2006-01-01

Please, cite this publication as: Kremenska, A. (2006). Computer Assisted Language Learning (CALL): Using Internet for Effective Language Learning. Proceedings of International Workshop in Learning Networks for Lifelong Competence Development, TENCompetence Conference. March 30th-31st, Sofia,

Toward Mobile Assisted Language Learning Apps for Professionals That Integrate Learning into the Daily Routine

Science.gov (United States)

Pareja-Lora, Antonio; Arús-Hita, Jorge; Read, Timothy; Rodríguez-Arancón, Pilar; Calle-Martínez, Cristina; Pomposo, Lourdes; Martín-Monje, Elena; Bárcena, Elena

2013-01-01

In this short paper, we present some initial work on Mobile Assisted Language Learning (MALL) undertaken by the ATLAS research group. ATLAS embraced this multidisciplinary field cutting across Mobile Learning and Computer Assisted Language Learning (CALL) as a natural step in their quest to find learning formulas for professional English that…

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

Science.gov (United States)

Benedetti, Marcello; Realpe-Gómez, John; Biswas, Rupak; Perdomo-Ortiz, Alejandro

2017-10-01

Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is increasing interest in the potential advantages of using quantum computing technologies as sampling engines to speed up these tasks or to make them more effective. However, some pressing challenges in state-of-the-art quantum annealers have to be overcome before we can assess their actual performance. The sparse connectivity, resulting from the local interaction between quantum bits in physical hardware implementations, is considered the most severe limitation to the quality of constructing powerful generative unsupervised machine-learning models. Here, we use embedding techniques to add redundancy to data sets, allowing us to increase the modeling capacity of quantum annealers. We illustrate our findings by training hardware-embedded graphical models on a binarized data set of handwritten digits and two synthetic data sets in experiments with up to 940 quantum bits. Our model can be trained in quantum hardware without full knowledge of the effective parameters specifying the corresponding quantum Gibbs-like distribution; therefore, this approach avoids the need to infer the effective temperature at each iteration, speeding up learning; it also mitigates the effect of noise in the control parameters, making it robust to deviations from the reference Gibbs distribution. Our approach demonstrates the feasibility of using quantum annealers for implementing generative models, and it provides a suitable framework for benchmarking these quantum technologies on machine-learning-related tasks.

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

Directory of Open Access Journals (Sweden)

Marcello Benedetti

2017-11-01

Full Text Available Mainstream machine-learning techniques such as deep learning and probabilistic programming rely heavily on sampling from generally intractable probability distributions. There is increasing interest in the potential advantages of using quantum computing technologies as sampling engines to speed up these tasks or to make them more effective. However, some pressing challenges in state-of-the-art quantum annealers have to be overcome before we can assess their actual performance. The sparse connectivity, resulting from the local interaction between quantum bits in physical hardware implementations, is considered the most severe limitation to the quality of constructing powerful generative unsupervised machine-learning models. Here, we use embedding techniques to add redundancy to data sets, allowing us to increase the modeling capacity of quantum annealers. We illustrate our findings by training hardware-embedded graphical models on a binarized data set of handwritten digits and two synthetic data sets in experiments with up to 940 quantum bits. Our model can be trained in quantum hardware without full knowledge of the effective parameters specifying the corresponding quantum Gibbs-like distribution; therefore, this approach avoids the need to infer the effective temperature at each iteration, speeding up learning; it also mitigates the effect of noise in the control parameters, making it robust to deviations from the reference Gibbs distribution. Our approach demonstrates the feasibility of using quantum annealers for implementing generative models, and it provides a suitable framework for benchmarking these quantum technologies on machine-learning-related tasks.

Assisted Learning Systems in e-Education

Directory of Open Access Journals (Sweden)

Gabriel ZAMFIR

2014-01-01

Full Text Available Human society, analyzed as a learning environment, presumes different languages in order to know, to understand or to develop it. This statement results as a default application of the cog-nitive domain in the educational scientific research, and it highlights a key feature: each essen-tial discovery was available for the entire language compatible society. E-Society is constructed as an application of E-Science in social services, and it is going to reveal a learning system for each application of the information technology developed for a compatible society. This article is proposed as a conceptual one focused on scientific research and the interrelationship be-tween the building blocks of research, defined as an engine for any designed learning system applied in the cognitive domain. In this approach, educational research become a learning sys-tem in e-Education. The purpose of this analysis is to configure the teacher assisted learning system and to expose its main principles which could be integrated in standard assisted instruc-tion applications, available in e-Classroom, supporting the design of specific didactic activities.

Could a Mobile-Assisted Learning System Support Flipped Classrooms for Classical Chinese Learning?

Science.gov (United States)

Wang, Y.-H.

2016-01-01

In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…

Computer Assisted Language Learning (CALL) Software: Evaluation ...

African Journals Online (AJOL)

Evaluating the nature and extent of the influence of Computer Assisted Language Learning (CALL) on the quality of language learning is highly problematic. This is owing to the number and complexity of interacting variables involved in setting the items for teaching and learning languages. This paper identified and ...

The Effects of Computer-Assisted Instruction Designed According to 7E Model of Constructivist Learning on Physics Student Teachers' Achievement, Concept Learning, Self-Efficacy Perceptions and Attitudes

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Kocakaya, Serhat; Gonen, Selahattin

2010-01-01

The purpose of this study was to investigate the effects of a Computer-Assisted Instruction designed according to 7E model of constructivist learning(CAI7E) related to "electrostatic'' topic on physics student teachers' cognitive development, misconceptions, self-efficacy perceptions and attitudes. The study was conducted in 2006-2007…

Peer-assisted learning and orthopaedic evaluation psychomotor skills.

Science.gov (United States)

Weidner, Thomas G; Popp, Jennifer K

2007-01-01

Athletic training educators often anecdotally suggest that athletic training students enhance their learning by teaching their peers. However, peer-assisted learning (PAL) has not been examined within athletic training education to provide evidence for PAL's current use or for its use as a pedagogic tool. To assess the effectiveness of intentional, formal PAL on the performance of psychomotor skills and to identify students' perceptions of PAL. Randomized, pretest-posttest experimental design. Athletic Training Research and Education Laboratory. Fifty-one undergraduate students (27 athletic training majors, 24 nonmajors). Review sessions led by either an Approved Clinical Instructor or peer tutor. We assessed pretest and posttest performance scores (number of correct skills) and the amount of time to complete the psychomotor skills in 3 categories of orthopaedic evaluation of the hand and wrist for subjects assigned to either a peer tutor or an Approved Clinical Instructor review group. Using the Athletic Training Peer-Assisted Learning Assessment Survey, we evaluated the perceptions of students assigned to the peer-tutor group regarding the benefits of, and preferences for, PAL. Differences in the pretest-posttest skill scores were noted in both groups (P psychomotor skills with peer tutors than with the laboratory instructor, and many students (n = 12, 44.4%) felt more self-confident when practicing psychomotor skills with a peer tutor. Peer-assisted learning appears to be a valid method for improving athletic training psychomotor skills. Peers can be resources for practicing clinical skills and report benefiting from the collaboration. Peer-assisted learning should be deliberately integrated into athletic training education programs to enhance student learning and collaboration.

Perspectives of Introduction of the Mobile-Assisted Language Learning (MALL) Technology

Science.gov (United States)

Wagner, Monica-Nataliia Laurensovna; Donskaya, Maryana Vladimirovna; Kupriyanova, Milana Evgenievna; Ovezova, Umeda Akparovna

2016-01-01

Present article addresses methodological and technical (instrumental) aspects of creation and implementation of mobile-assisted learning, which is oriented to the process of foreign languages learning. We provide the interpretation of the main definitions of mobile-assisted learning, as well as propose recommendations for using mobile devices in…

Public Computer Assisted Learning Facilities for Children with Visual Impairment: Universal Design for Inclusive Learning

Science.gov (United States)

Siu, Kin Wai Michael; Lam, Mei Seung

2012-01-01

Although computer assisted learning (CAL) is becoming increasingly popular, people with visual impairment face greater difficulty in accessing computer-assisted learning facilities. This is primarily because most of the current CAL facilities are not visually impaired friendly. People with visual impairment also do not normally have access to…

A Multidisciplinary Model for Development of Intelligent Computer-Assisted Instruction.

Science.gov (United States)

Park, Ok-choon; Seidel, Robert J.

1989-01-01

Proposes a schematic multidisciplinary model to help developers of intelligent computer-assisted instruction (ICAI) identify the types of required expertise and integrate them into a system. Highlights include domain types and expertise; knowledge acquisition; task analysis; knowledge representation; student modeling; diagnosis of learning needs;…

Human-robot cooperative movement training: Learning a novel sensory motor transformation during walking with robotic assistance-as-needed

Directory of Open Access Journals (Sweden)

Benitez Raul

2007-03-01

Full Text Available Abstract Background A prevailing paradigm of physical rehabilitation following neurologic injury is to "assist-as-needed" in completing desired movements. Several research groups are attempting to automate this principle with robotic movement training devices and patient cooperative algorithms that encourage voluntary participation. These attempts are currently not based on computational models of motor learning. Methods Here we assume that motor recovery from a neurologic injury can be modelled as a process of learning a novel sensory motor transformation, which allows us to study a simplified experimental protocol amenable to mathematical description. Specifically, we use a robotic force field paradigm to impose a virtual impairment on the left leg of unimpaired subjects walking on a treadmill. We then derive an "assist-as-needed" robotic training algorithm to help subjects overcome the virtual impairment and walk normally. The problem is posed as an optimization of performance error and robotic assistance. The optimal robotic movement trainer becomes an error-based controller with a forgetting factor that bounds kinematic errors while systematically reducing its assistance when those errors are small. As humans have a natural range of movement variability, we introduce an error weighting function that causes the robotic trainer to disregard this variability. Results We experimentally validated the controller with ten unimpaired subjects by demonstrating how it helped the subjects learn the novel sensory motor transformation necessary to counteract the virtual impairment, while also preventing them from experiencing large kinematic errors. The addition of the error weighting function allowed the robot assistance to fade to zero even though the subjects' movements were variable. We also show that in order to assist-as-needed, the robot must relax its assistance at a rate faster than that of the learning human. Conclusion The assist

Human-robot cooperative movement training: learning a novel sensory motor transformation during walking with robotic assistance-as-needed.

Science.gov (United States)

Emken, Jeremy L; Benitez, Raul; Reinkensmeyer, David J

2007-03-28

A prevailing paradigm of physical rehabilitation following neurologic injury is to "assist-as-needed" in completing desired movements. Several research groups are attempting to automate this principle with robotic movement training devices and patient cooperative algorithms that encourage voluntary participation. These attempts are currently not based on computational models of motor learning. Here we assume that motor recovery from a neurologic injury can be modelled as a process of learning a novel sensory motor transformation, which allows us to study a simplified experimental protocol amenable to mathematical description. Specifically, we use a robotic force field paradigm to impose a virtual impairment on the left leg of unimpaired subjects walking on a treadmill. We then derive an "assist-as-needed" robotic training algorithm to help subjects overcome the virtual impairment and walk normally. The problem is posed as an optimization of performance error and robotic assistance. The optimal robotic movement trainer becomes an error-based controller with a forgetting factor that bounds kinematic errors while systematically reducing its assistance when those errors are small. As humans have a natural range of movement variability, we introduce an error weighting function that causes the robotic trainer to disregard this variability. We experimentally validated the controller with ten unimpaired subjects by demonstrating how it helped the subjects learn the novel sensory motor transformation necessary to counteract the virtual impairment, while also preventing them from experiencing large kinematic errors. The addition of the error weighting function allowed the robot assistance to fade to zero even though the subjects' movements were variable. We also show that in order to assist-as-needed, the robot must relax its assistance at a rate faster than that of the learning human. The assist-as-needed algorithm proposed here can limit error during the learning of a

Worked examples are more efficient for learning than high-assistance instructional software

NARCIS (Netherlands)

McLaren, Bruce M.; van Gog, Tamara; Ganoe, Craig; Yaron, David; Karabinos, Michael

2015-01-01

The ‘assistance dilemma’, an important issue in the Learning Sciences, is concerned with how much guidance or assistance should be provided to help students learn. A recent study comparing three high-assistance approaches (worked examples, tutored problems, and erroneous examples) and one

Environmental Factors Affecting Computer Assisted Language Learning Success: A Complex Dynamic Systems Conceptual Model

Science.gov (United States)

Marek, Michael W.; Wu, Wen-Chi Vivian

2014-01-01

This conceptual, interdisciplinary inquiry explores Complex Dynamic Systems as the concept relates to the internal and external environmental factors affecting computer assisted language learning (CALL). Based on the results obtained by de Rosnay ["World Futures: The Journal of General Evolution", 67(4/5), 304-315 (2011)], who observed…

Using assistive technology adaptations to include students with learning disabilities in cooperative learning activities.

Science.gov (United States)

Bryant, D P; Bryant, B R

1998-01-01

Cooperative learning (CL) is a common instructional arrangement that is used by classroom teachers to foster academic achievement and social acceptance of students with and without learning disabilities. Cooperative learning is appealing to classroom teachers because it can provide an opportunity for more instruction and feedback by peers than can be provided by teachers to individual students who require extra assistance. Recent studies suggest that students with LD may need adaptations during cooperative learning activities. The use of assistive technology adaptations may be necessary to help some students with LD compensate for their specific learning difficulties so that they can engage more readily in cooperative learning activities. A process for integrating technology adaptations into cooperative learning activities is discussed in terms of three components: selecting adaptations, monitoring the use of the adaptations during cooperative learning activities, and evaluating the adaptations' effectiveness. The article concludes with comments regarding barriers to and support systems for technology integration, technology and effective instructional practices, and the need to consider technology adaptations for students who have learning disabilities.

Mobile-Assisted Language Learning: Student Attitudes to Using Smartphones to Learn English Vocabulary

Science.gov (United States)

Davie, Neil; Hilber, Tobias

2015-01-01

This project examines mobile-assisted language learning (MALL) and in particular the attitudes of undergraduate engineering students at the South Westphalia University of Applied Sciences towards the use of the smartphone app Quizlet to learn English vocabulary. Initial data on attitudes to learning languages and to the use of mobile devices to do…

A review of peer-assisted learning to deliver interprofessional supplementary image interpretation skills

International Nuclear Information System (INIS)

Bain, P.; Wareing, A.; Henderson, I.

2017-01-01

Background: Peer-assisted learning provides a means through which individuals can learn from one another through a reciprocal process. Radiographic image interpretation skills are fundamental to both diagnostic radiography students and medical students due to their shared role in preliminary evaluation of conventional radiographic images. Medical students on graduation, may not be well prepared to carry out image interpretation, since evidence suggests that they perform less well than radiographers in e.g. Accident and Emergency situations. Method: A review of literature was conducted exploring the application of peer-assisted learning within diagnostic radiography and health education more widely as well as the practice of initial image interpretation. An extensive and systematic search strategy was developed which provided a range of material related to the areas. Findings: An overview was obtained of the effectiveness of peer-assisted learning and the issues associated with development of image interpretation skills and a degree of discrepancy was identified between the two cohorts regarding their interpretative competence and confidence. This inconsistency may create an opportunity to apply peer-assisted learning, better preparing both disciplines for the practical application of image interpretation skills. Conclusion: The review identified the lack of a substantial evidence base relating to peer-assisted learning in radiography. Peer-assisted learning is not widely embraced in an interprofessional context. Multiple positive factors of such an intervention are identified which outweigh perceived negative issues. Student teacher and learner may benefit as should the clinical service from enhanced practitioner performance. The findings justify further research to develop the evidence base. - Highlights: • Many diagnostic radiographers and medics are involved in image interpretation. • Evidence indicates an imbalance in image interpretation competence and

Building an undergraduate physics program with Learning Assistants

Science.gov (United States)

Price, Edward

2013-04-01

In 2007, the CSUSM Physics Department began offering a B.S. in Applied Physics, its first physics bachelors degree program. The program has grown from 11 majors in 2008 to over 80 in 2012, due in part to recruiting students from local high schools and community colleges. More broadly, because most CSUSM students come from the local region, the longer-term health of the Department is coupled with the vitality and strength of local high school physics education. In addition, establishing a new physics degree required curriculum development and offered the opportunity to incorporate recent innovations in physics education when developing courses. A Learning Assistants (LA) Program, established by the Department in 2008, has been a critical component in these efforts to recruit students, build local educational networks, and implement innovative curricula. In an LA Program, undergraduate Learning Assistants assist faculty in class, meet regularly with the course instructor, and participate in a weekly seminar on teaching and learning, which provides guidance on effective instruction and an opportunity to reflect on their experiences in the classroom. The LA program promotes course transformation, improved student learning, and teacher recruitment. This talk will describe the CSUSM LA Program and its role in support of our growing applied physics degree program.

Learning Performance Enhancement Using Computer-Assisted Language Learning by Collaborative Learning Groups

Directory of Open Access Journals (Sweden)

Ya-huei Wang

2017-08-01

Full Text Available This study attempted to test whether the use of computer-assisted language learning (CALL and innovative collaborative learning could be more effective than the use of traditional collaborative learning in improving students’ English proficiencies. A true experimental design was used in the study. Four randomly-assigned groups participated in the study: a traditional collaborative learning group (TCLG, 34 students, an innovative collaborative learning group (ICLG, 31 students, a CALL traditional collaborative learning group (CALLTCLG, 32 students, and a CALL innovative collaborative learning group (CALLICLG, 31 students. TOEIC (Test of English for International Communication listening, reading, speaking, and writing pre-test and post-test assessments were given to all students at an interval of sixteen weeks. Multivariate analysis of covariance (MANCOVA, multivariate analysis of variance (MANOVA, and analysis of variance (ANOVA were used to analyze the data. The results revealed that students who used CALL had significantly better learning performance than those who did not. Students in innovative collaborative learning had significantly better learning performances than those in traditional collaborative learning. Additionally, students using CALL innovative collaborative learning had better learning performances than those in CALL collaborative learning, those in innovative collaborative learning, and those in traditional collaborative learning.

Data preparation for municipal virtual assistant using machine learning

OpenAIRE

Jovan, Leon Noe

2016-01-01

The main goal of this master’s thesis was to develop a procedure that will automate the construction of the knowledge base for a virtual assistant that answers questions about municipalities in Slovenia. The aim of the procedure is to replace or facilitate manual preparation of the virtual assistant's knowledge base. Theoretical backgrounds of different machine learning fields, such as multilabel classification, text mining and learning from weakly labeled data were examined to gain a better ...

A study: Effect of Students Peer Assisted Learning on Magnetic Field Achievement

International Nuclear Information System (INIS)

Mueanploy, Wannapa

2016-01-01

This study is the case study of Physic II Course for students of Pathumwan Institute of Technology. The purpose of this study is: 1) to develop cooperative learning method of peer assisted learning (PAL), 2) to compare the learning achievement before and after studied magnetic field lesson by cooperative learning method of peer assisted learning. The population was engineering students of Pathumwan Institute of Technology (PIT’s students) who registered Physic II Course during year 2014. The sample used in this study was selected from the 72 students who passed in Physic I Course. The control groups learning magnetic fields by Traditional Method (TM) and experimental groups learning magnetic field by method of peers assisted learning. The students do pretest before the lesson and do post-test after the lesson by 20 items achievement tests of magnetic field. The post-test higher than pretest achievement significantly at 0.01 level. (paper)

Implementation and Results of a Learning Assistant Program

Science.gov (United States)

Bogue, Thomas B.; Seeley, L.; Vokos, S.

2006-12-01

The Physics Department at Seattle Pacific University has recently completed a three-year CCLI grant to integrate Tutorials in Introductory Physics , Activity Based Physics , and Real Time Physics into our one-year introductory curriculum. One of the difficulties encountered in doing this at a small undergraduate university was the need for additional instructors. This need is met through the use of undergraduate learning assistants. The development of recruitment and implementation methods will be discussed, along with the advantages to physics education, and the challenges encountered. We will also discuss several strategies we have identified as critical to a successful learning assistant program.

Self-Control of Haptic Assistance for Motor Learning: Influences of Frequency and Opinion of Utility

Science.gov (United States)

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

Learning Tools for Knowledge Nomads: Using Personal Digital Assistants (PDAs) in Web-based Learning Environments.

Science.gov (United States)

Loh, Christian Sebastian

2001-01-01

Examines how mobile computers, or personal digital assistants (PDAs), can be used in a Web-based learning environment. Topics include wireless networks on college campuses; online learning; Web-based learning technologies; synchronous and asynchronous communication via the Web; content resources; Web connections; and collaborative learning. (LRW)

The LEONARDO-DA-VINCI pilot project "e-learning-assistant" - Situation-based learning in nursing education.

Science.gov (United States)

Pfefferle, Petra Ina; Van den Stock, Etienne; Nauerth, Annette

2010-07-01

E-learning will play an important role in the training portfolio of students in higher and vocational education. Within the LEONARDO-DA-VINCI action programme transnational pilot projects were funded by the European Union, which aimed to improve the usage and quality of e-learning tools in education and professional training. The overall aim of the LEONARDO-DA-VINCI pilot project "e-learning-assistant" was to create new didactical and technical e-learning tools for Europe-wide use in nursing education. Based on a new situation-oriented learning approach, nursing teachers enrolled in the project were instructed to adapt, develop and implement e- and blended learning units. According to the training contents nursing modules were developed by teachers from partner institutions, implemented in the project centers and evaluated by students. The user-package "e-learning-assistant" as a product of the project includes two teacher training units, the authoring tool "synapse" to create situation-based e-learning units, a student's learning platform containing blended learning modules in nursing and an open sourced web-based communication centre. Copyright 2009 Elsevier Ltd. All rights reserved.

Cabri 3D - assisted collaborative learning to enhance junior high school students’ spatial ability

Science.gov (United States)

Muntazhimah; Miatun, A.

2018-01-01

The main purpose of this quasi-experimental study was to determine the enhancement of spatial ability of junior high school students who learned through Cabri-3D assisted collaborative learning. The methodology of this study was the nonequivalent group that was conducted to students of the eighth grade in a junior high school as a population. Samples consisted one class of the experimental group who studied with Cabri-3D assisted collaborative learning and one class as a control group who got regular learning activity. The instrument used in this study was a spatial ability test. Analyzing normalized gain of students’ spatial ability based on mathemathical prior knowledge (MPK) and its interactions was tested by two-way ANOVA at a significance level of 5% then continued with using Post Hoc Scheffe test. The research results showed that there was significant difference in enhancement of the spatial ability between students who learnt with Cabri 3D assisted collaborative learning and students who got regular learning, there was significant difference in enhancement of the spatial ability between students who learnt with cabri 3D assisted collaborative learning and students who got regular learning in terms of MPK and there is no significant interaction between learning (Cabri-3D assisted collaborative learning and regular learning) with students’ MPK (high, medium, and low) toward the enhancement of students’ spatial abilities. From the above findings, it can be seen that cabri-3D assisted collaborative learning could enhance spatial ability of junior high school students.

Developing Computer Assisted Media of Pneumatic System Learning Oriented to Industrial Demands

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Wahyu Dwi Kurniawan

2017-04-01

Full Text Available This study aimed to develop learning media of pneumatic systems based on computer-assisted learning as an effort to improve the competence of students at the Department of Mechanical Engineering, Faculty of Engineering UNESA. The development method referred to the 4D model design of Thiagarajan comprising the steps of: define, design, develop, and desseminate. The results showed that the expert validation average score included in both categories was 3.54, indicating the learning application acceptable. A limited test showed effective results, namely: (a Analysis of the data included in the category of learning was good (3.64, indicated by students’ enthusiasm in the learning process; (b Teaching learning activities were categorized as good, the students actively involved in learning, and the most dominant activity was doing tasks while discussing; (c Learning objectives were both achieved individually and classically; (d The students showed a positive response expressed by the students’ interest, excitement, and motivation to follow the learning process.

Computer-Assisted Language Learning: Diversity in Research and Practice

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Stockwell, Glenn, Ed.

2012-01-01

Computer-assisted language learning (CALL) is an approach to teaching and learning languages that uses computers and other technologies to present, reinforce, and assess material to be learned, or to create environments where teachers and learners can interact with one another and the outside world. This book provides a much-needed overview of the…

Model of Providing Assistive Technologies in Special Education Schools.

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Lersilp, Suchitporn; Putthinoi, Supawadee; Chakpitak, Nopasit

2015-05-14

Most students diagnosed with disabilities in Thai special education schools received assistive technologies, but this did not guarantee the greatest benefits. The purpose of this study was to survey the provision, use and needs of assistive technologies, as well as the perspectives of key informants regarding a model of providing them in special education schools. The participants were selected by the purposive sampling method, and they comprised 120 students with visual, physical, hearing or intellectual disabilities from four special education schools in Chiang Mai, Thailand; and 24 key informants such as parents or caregivers, teachers, school principals and school therapists. The instruments consisted of an assistive technology checklist and a semi-structured interview. Results showed that a category of assistive technologies was provided for students with disabilities, with the highest being "services", followed by "media" and then "facilities". Furthermore, mostly students with physical disabilities were provided with assistive technologies, but those with visual disabilities needed it more. Finally, the model of providing assistive technologies was composed of 5 components: Collaboration; Holistic perspective; Independent management of schools; Learning systems and a production manual for users; and Development of an assistive technology center, driven by 3 major sources such as Government and Private organizations, and Schools.

Mobile-Assisted Second Language Learning: Developing a Learner-Centered Framework

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Leow, Choy Khim; Yahaya, Wan Ahmad Jaafar Wan; Samsudin, Zarina

2014-01-01

The Mobile Assisted Language Learning concept has offered infinite language learning opportunities since its inception 20 years ago. Second Language Acquisition however embraces a considerably different body of knowledge from first language learning. While technological advances have optimized the psycholinguistic environment for language…

A strategy for quantum algorithm design assisted by machine learning

International Nuclear Information System (INIS)

Bang, Jeongho; Lee, Jinhyoung; Ryu, Junghee; Yoo, Seokwon; Pawłowski, Marcin

2014-01-01

We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum–classical hybrid simulator, where a ‘quantum student’ is being taught by a ‘classical teacher’. In other words, in our method, the learning system is supposed to evolve into a quantum algorithm for a given problem, assisted by a classical main-feedback system. Our method is applicable for designing quantum oracle-based algorithms. We chose, as a case study, an oracle decision problem, called a Deutsch–Jozsa problem. We showed by using Monte Carlo simulations that our simulator can faithfully learn a quantum algorithm for solving the problem for a given oracle. Remarkably, the learning time is proportional to the square root of the total number of parameters, rather than showing the exponential dependence found in the classical machine learning-based method. (paper)

A strategy for quantum algorithm design assisted by machine learning

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Bang, Jeongho; Ryu, Junghee; Yoo, Seokwon; Pawłowski, Marcin; Lee, Jinhyoung

2014-07-01

We propose a method for quantum algorithm design assisted by machine learning. The method uses a quantum-classical hybrid simulator, where a ‘quantum student’ is being taught by a ‘classical teacher’. In other words, in our method, the learning system is supposed to evolve into a quantum algorithm for a given problem, assisted by a classical main-feedback system. Our method is applicable for designing quantum oracle-based algorithms. We chose, as a case study, an oracle decision problem, called a Deutsch-Jozsa problem. We showed by using Monte Carlo simulations that our simulator can faithfully learn a quantum algorithm for solving the problem for a given oracle. Remarkably, the learning time is proportional to the square root of the total number of parameters, rather than showing the exponential dependence found in the classical machine learning-based method.

Teaching for Application: A Model for Assisting Pre-Service Teachers with Technology Integration

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Hur, Jung Won; Cullen, Theresa; Brush, Thomas

2010-01-01

The purpose of this paper is to introduce a technology integration model designed to assist pre-service teachers to learn meaningful uses of technology in K-12 classrooms. Based on studies in teacher education, learning theory, and technology integration, the authors define five essential characteristics necessary for pre-service teacher…

Computer-Assisted Foreign Language Teaching and Learning: Technological Advances

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Zou, Bin; Xing, Minjie; Wang, Yuping; Sun, Mingyu; Xiang, Catherine H.

2013-01-01

Computer-Assisted Foreign Language Teaching and Learning: Technological Advances highlights new research and an original framework that brings together foreign language teaching, experiments and testing practices that utilize the most recent and widely used e-learning resources. This comprehensive collection of research will offer linguistic…

The use of a mobile assistant learning system for health education based on project-based learning.

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Wu, Ting-Ting

2014-10-01

With the development of mobile devices and wireless technology, mobile technology has gradually infiltrated nursing practice courses to facilitate instruction. Mobile devices save manpower and reduce errors while enhancing nursing students' professional knowledge and skills. To achieve teaching objectives and address the drawbacks of traditional education, this study presents a mobile assistant learning system to help nursing students prepare health education materials. The proposed system is based on a project-based learning strategy to assist nursing students with internalizing professional knowledge and developing critical thinking skills. Experimental results show that the proposed mobile system and project-based learning strategy can promote learning effectiveness and efficiency. Most nursing students and nursing educators showed positive attitudes toward this mobile learning system and looked forward to using it again in related courses in the future.

Errors and Intelligence in Computer-Assisted Language Learning: Parsers and Pedagogues. Routledge Studies in Computer Assisted Language Learning

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Heift, Trude; Schulze, Mathias

2012-01-01

This book provides the first comprehensive overview of theoretical issues, historical developments and current trends in ICALL (Intelligent Computer-Assisted Language Learning). It assumes a basic familiarity with Second Language Acquisition (SLA) theory and teaching, CALL and linguistics. It is of interest to upper undergraduate and/or graduate…

A review of peer-assisted learning to deliver interprofessional supplementary image interpretation skills.

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Bain, P; Wareing, A; Henderson, I

2017-09-01

Peer-assisted learning provides a means through which individuals can learn from one another through a reciprocal process. Radiographic image interpretation skills are fundamental to both diagnostic radiography students and medical students due to their shared role in preliminary evaluation of conventional radiographic images. Medical students on graduation, may not be well prepared to carry out image interpretation, since evidence suggests that they perform less well than radiographers in e.g. Accident and Emergency situations. A review of literature was conducted exploring the application of peer-assisted learning within diagnostic radiography and health education more widely as well as the practice of initial image interpretation. An extensive and systematic search strategy was developed which provided a range of material related to the areas. An overview was obtained of the effectiveness of peer-assisted learning and the issues associated with development of image interpretation skills and a degree of discrepancy was identified between the two cohorts regarding their interpretative competence and confidence. This inconsistency may create an opportunity to apply peer-assisted learning, better preparing both disciplines for the practical application of image interpretation skills. The review identified the lack of a substantial evidence base relating to peer-assisted learning in radiography. Peer-assisted learning is not widely embraced in an interprofessional context. Multiple positive factors of such an intervention are identified which outweigh perceived negative issues. Student teacher and learner may benefit as should the clinical service from enhanced practitioner performance. The findings justify further research to develop the evidence base. Copyright © 2017 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.

An Intelligent Computer Assisted Language Learning System for Arabic Learners

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Shaalan, Khaled F.

2005-01-01

This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…

eTeacher: Providing Personalized Assistance to E-Learning Students

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Schiaffino, Silvia; Garcia, Patricio; Amandi, Analia

2008-01-01

In this paper we present eTeacher, an intelligent agent that provides personalized assistance to e-learning students. eTeacher observes a student's behavior while he/she is taking online courses and automatically builds the student's profile. This profile comprises the student's learning style and information about the student's performance, such…

Using peer-assisted learning to teach basic surgical skills: medical students’ experiences

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Mahdi Saleh

2013-08-01

Full Text Available Standard medical curricula in the United Kingdom (UK typically provide basic surgical-skills teaching before medical students are introduced into the clinical environment. However, these sessions are often led by clinical teaching fellows and/or consultants. Depending on the roles undertaken (e.g., session organizers, peer tutors, a peer-assisted learning (PAL approach may afford many benefits to teaching surgical skills. At the University of Keele's School of Medicine, informal PAL is used by the Surgical Society to teach basic surgical skills to pre-clinical students. As medical students who assumed different roles within this peer-assisted model, we present our experiences and discuss the possible implications of incorporating such sessions into UK medical curricula. Our anecdotal evidence suggests that a combination of PAL sessions – used as an adjunct to faculty-led sessions – may provide optimal learning opportunities in delivering a basic surgical skills session for pre-clinical students.

Using an LMS for Foreign Language Teaching/Learning: An Attempt Based on the "Cyclic Model of Learning"

OpenAIRE

SUMI, Seijiro; TAKEUCHI, Osamu

2008-01-01

The purposes of the study are (a) to put the “cyclic model of learning” into practice by means of an LMS (Learning Management System) for foreign language teaching /learning, and (b) to examine how the “cyclic model of learning” influences improvement of students' English ability in both proficiency and achievement. Current major concerns of CALL (Computer Assisted Language learning) research have shifted from piecemeal and experimental tests of the use of technology in a single computer lab ...

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

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

2013-01-01

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

Using computer assisted learning for clinical skills education in nursing: integrative review.

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Bloomfield, Jacqueline G; While, Alison E; Roberts, Julia D

2008-08-01

This paper is a report of an integrative review of research investigating computer assisted learning for clinical skills education in nursing, the ways in which it has been studied and the general findings. Clinical skills are an essential aspect of nursing practice and there is international debate about the most effective ways in which these can be taught. Computer assisted learning has been used as an alternative to conventional teaching methods, and robust research to evaluate its effectiveness is essential. The CINAHL, Medline, BNI, PsycInfo and ERIC electronic databases were searched for the period 1997-2006 for research-based papers published in English. Electronic citation tracking and hand searching of reference lists and relevant journals was also undertaken. Twelve studies met the inclusion criteria. An integrative review was conducted and each paper was explored in relation to: design, aims, sample, outcome measures and findings. Many of the study samples were small and there were weaknesses in designs. There is limited empirical evidence addressing the use of computer assisted learning for clinical skills education in nursing. Computer assisted learning has been used to teach a limited range of clinical skills in a variety of settings. The paucity of evaluative studies indicates the need for more rigorous research to investigate the effect of computer assisted learning for this purpose. Areas that need to be addressed in future studies include: sample size, range of skills, longitudinal follow-up and control of confounding variables.

Helping Children Learn Vocabulary during Computer-Assisted Oral Reading

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Gregory Aist

2002-04-01

Full Text Available This paper addresses an indispensable skill using a unique method to teach a critical component: helping children learn to read by using computer-assisted oral reading to help children learn vocabulary. We build on Project LISTEN’s Reading Tutor, a computer program that adapts automatic speech recognition to listen to children read aloud, and helps them learn to read (http://www.cs.cmu.edu/~listen. To learn a word from reading with the Reading Tutor, students must encounter the word and learn the meaning of the word in context. We modified the Reading Tutor first to help students encounter new words and then to help them learn the meanings of new words. We then compared the Reading Tutor to classroom instruction and to human-assisted oral reading as part of a yearlong study with 144 second and third graders. The result: Second graders did about the same on word comprehension in all three conditions. However, third graders who read with the 1999 Reading Tutor, modified as described in this paper, performed statistically significantly better than other third graders in a classroom control on word comprehension gains – and even comparably with other third graders who read one-on-one with human tutors.

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

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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.

PENGEMBANGAN PERANGKAT PEMBELAJARAN MODEL PROBLEM BASED LEARNING UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KREATIF

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Ali Muntaha

2013-03-01

Full Text Available Penelitian ini bertujuan untuk : (1 Mengetahui proses pengembangan perangkat pembelajaran dengan model PBL berbantuan CD Pembelajaran untuk meningkatkan kemampuan berpikir kreatif siswa, (2 Menghasilkan perangkat pembelajaran dengan model PBL berbantuan CD Pembelajaran yang valid, (3 Menghasilkan perangkat pembelajaran dengan model PBL berbantuan CD Pembelajaran yang efektif. Penelitian ini merupakan penelitian pengembangan. Pengembangan yang dilakukan dalam penelitian ini meliputi Silabus, Rencana Pelaksanaan Pembelajaran (RPP,  Buku Siswa, Lembar Kegiatan Siswa (LKS,    dan Tes Kemampuan Berpikir Kreatif Siswa. Data penelitian diperoleh melalui  observasi dan tes kemampuan kognitif. Analisis statistik menggunakan uji ketuntasan (KKM hasil belajar dengan uji One sample t test, uji beda menggunakan independen sample t test, uji normalitas dan uji peningkatan kemampuan menggunakan N-gain. Hasil penelitian menunjukkan: (1 Proses pengembangan perangkat pembelajaran dilakukan melalui empat tahapan yaitu define (pendefinisian /penetapan, design (perancangan, develop (pengembangan, dan disseminate (penyebaran, (2 Hasil pengembangan perangkat pembelajaran dalam penelitian ini valid, (3 Hasil pengembangan perangkat pembelajaran dalam penelitian ini efektif untuk meningkatkan kemampuan berpikir kreatif siswa. This study aims to: (1 Knowing the software development process model of PBL assisted learning with Learning CD to enhance students’ creative thinking skills, (2 Generate the model of learning with Learning CD-assisted PBL valid, (3 Generate the model of learning with PBL CD-assisted learning effective. This research is a research development. Development conducted in this study include syllabus, lesson plan (RPP, Student Book, Student Activity Sheet (LKS, and Student Creative Thinking Ability Test. Data were obtained through observation and tests of cognitive ability. Statistical analysis using the mastery test (KKM learning outcomes to test

Physiotherapy students and clinical educators perceive several ways in which incorporating peer-assisted learning could improve clinical placements: a qualitative study.

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Sevenhuysen, Samantha; Farlie, Melanie K; Keating, Jennifer L; Haines, Terry P; Molloy, Elizabeth

2015-04-01

What are the experiences of students and clinical educators in a paired student placement model incorporating facilitated peer-assisted learning (PAL) activities, compared to a traditional paired teaching approach? Qualitative study utilising focus groups. Twenty-four physiotherapy students and 12 clinical educators. Participants in this study had experienced two models of physiotherapy clinical undergraduate education: a traditional paired model (usual clinical supervision and learning activities led by clinical educators supervising pairs of students) and a PAL model (a standardised series of learning activities undertaken by student pairs and clinical educators to facilitate peer interaction using guided strategies). Peer-assisted learning appears to reduce the students' anxiety, enhance their sense of safety in the learning environment, reduce educator burden, maximise the use of downtime, and build professional skills including collaboration and feedback. While PAL adds to the clinical learning experience, it is not considered to be a substitute for observation of the clinical educator, expert feedback and guidance, or hands-on immersive learning activities. Cohesion of the student-student relationship was seen as an enabler of successful PAL. Students and educators perceive that PAL can help to position students as active learners through reduced dependence on the clinical educator, heightened roles in observing practice, and making and communicating evaluative judgments about quality of practice. The role of the clinical educator is not diminished with PAL, but rather is central in designing flexible and meaningful peer-based experiences and in balancing PAL with independent learning opportunities. ACTRN12610000859088. [Sevenhuysen S, Farlie MK, Keating JL, Haines TP, Molloy E (2015) Physiotherapy students and clinical educators perceive several ways in which incorporating peer-assisted learning could improve clinical placements: a qualitative study

Peningkatan Hasil Belajar Fisika Melalui Model Pembelajaran Kooperatif Tipe Team Assisted Individualization pada Siswa Kelas VII.D SMP Negeri 2 Bangkala Kabupaten Jeneponto

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Suhardi Suhardi

2015-12-01

Full Text Available Abstract This research is a class action (Classroom Action Research, which aims to improve learning outcomes Physics VII.D grade students of SMP Negeri 2 Bangkala through Cooperative Learning Model Team Assisted Individualization. The subjects were VII.D grade students of SMP Negeri 2 Bangkala on odd semester 2013/2014 academic year consisting of 36 students. Research conducted two cycles consisting of four activities, namely: planning, action, observation and reflection. In the first cycle was conducted over four sessions and the second cycle was conducted over four sessions. Data collection was done by studying the results of the final tests of learning at the end of the first cycle and the end of the second cycle. The collected data were analyzed quantitatively and qualitatively. The results of the quantitative analysis of physics learning outcome data indicate that the number of students classified as learning completed the first cycle were completed only 22 0rang 61.11% and in the second cycle up to 25 people who completed 69.44%. The results of the qualitative analysis showed an increase in activity of students during the learning process through a model of Cooperative Learning Physics Team Assisted Individualization type. Based on these results it can be concluded that the physics learning through cooperative learning model of Type Team Assisted Individualization can improve student learning outcomes. Keywords: Results Learning, Cooperative Learning Model Team Assisted Individualization, Qualitative, and Student Activities Abstrak Penelitian ini adalah penelitian tindakan kelas (Classroom Action Research yang bertujuan meningkatkan hasil belajar Fisika siswa kelas VII.D SMP Negeri 2 Bangkala melalui Model Pembelajaran Kooperatif Tipe Team Assisted Individualization. Subjek penelitian ini adalah siswa kelas VII.D SMP Negeri 2 Bangkala pada semester ganjil tahun pelajaran 2013/2014 yang terdiri dari 36 siswa. Penelitian dilaksanakan dua

Android-assisted physics mobile learning to improve senior high school students' divergent thinking skills and physics HOTS

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Mardiana, Nana; Kuswanto, Heru

2017-08-01

The aims of the research concerned here were to reveal (1) the characteristics of Android-assisted PML (physics mobile learning) to improve SMA (sekolah menengah atas, Indonesian senior high school) students' divergent thinking skills and physics HOTS (higher order thinking skills); (2) the feasibility of the Android-assisted PML; and (3) the influence of using the Android-assisted PML on improvement in SMA students' divergent thinking skills and physics HOTS. The7 research was of the R&D (research and development) type, adapted from theBorg-&-Gall development model. The research data were analyzed by means of MANOVA with the significance level of 5%. The results are as follows. (1) The product of the development, a learning media in software form with the android package(apk) format, is named PML (to refer to Physics Mobile Learning), which has such characterictics as being operable with use of Android devicesand being very good in quality in the aspect oflearning, material, software technology, and audiovisual appearance. 2) The developed learning media referred to as PML is appropriate for learning activity according to evaluation by a material expert, a media expert, peer reviewers, and physics teachers as well as according to results of students' tryouts. (3) The use of the Android-assisted PML media product could improve SMA students' divergent thinking skillsand physics HOTS with the respective high-category gain scores of 0.701 and 0.759.

Using a Dialogue System Based on Dialogue Maps for Computer Assisted Second Language Learning

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Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil; Lee, Yunkeun

2016-01-01

In order to use dialogue systems for computer assisted second-language learning systems, one of the difficult issues in such systems is how to construct large-scale dialogue knowledge that matches the dialogue modelling of a dialogue system. This paper describes how we have accomplished the short-term construction of large-scale and…

Conversation Analysis in Computer-Assisted Language Learning

Science.gov (United States)

González-Lloret, Marta

2015-01-01

The use of Conversation Analysis (CA) in the study of technology-mediated interactions is a recent methodological addition to qualitative research in the field of Computer-assisted Language Learning (CALL). The expansion of CA in Second Language Acquisition research, coupled with the need for qualitative techniques to explore how people interact…

An action-learning model to assist Circuit Teams to support School ...

African Journals Online (AJOL)

We report on the construction of a theoretical model to assist Circuit Teams to support School Management Teams of underperforming high schools towards whole-school development in which these improvement plans play a central role. We followed an action research design, employing qualitative data generation and ...

EFEKTIVITAS TEAM ASSISTED INDIVIDUALIZATION UNTUK MENGURANGI PROKRASTINASI AKADEMIK

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SYAIFUL INDRA

2015-07-01

Full Text Available Academic procrastination understood as maladaptive behavior that can hinder academic success. Guidance and counseling implementation is can contribute to reduce the students academic procrastination. The service is can be optimally, the team assisted individualization of learning models combined in class format. This research uses quantitative methods. This type of study design is a Quasi Experiment with the design of the non-equivalent control group. The population are students MTS Negeri Koto Tangah Padang selected by purposive sampling technique. The instrument used to collect data using a scale, then analyzed using Wilcoxson Signed Ranks Test and Kolmogorov-Smirnov 2 Independent the samples. The findings of this research are, differences significant on academic procrastination the experiment group before and after the learning model technique team assisted individualization, There are differences in the control group on academic procrastination before and after the conventional learning model, and there are differences in the experiment group which given learning model technique team assisted individualization and the control group which given information service, learning model team assisted individualization technique can significantly reduce the students academic procrastination, it was can be used for a variety of problems related with learning activities.

Learning Analytics: The next frontier for computer assisted language learning in big data age

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Yu Qinglan

2015-01-01

Full Text Available Learning analytics (LA has been applied to various learning environments, though it is quite new in the field of computer assisted language learning (CALL. This article attempts to examine the application of learning analytics in the upcoming big data age. It starts with an introduction and application of learning analytics in other fields, followed by a retrospective review of historical interaction between learning and media in CALL, and a penetrating analysis on why people would go to learning analytics to increase the efficiency of foreign language education. As approved in previous research, new technology, including big data mining and analysis, would inevitably enhance the learning of foreign languages. Potential changes that learning analytics would bring to Chinese foreign language education and researches are also presented in the article.

On Using Intelligent Computer-Assisted Language Learning in Real-Life Foreign Language Teaching and Learning

Science.gov (United States)

Amaral, Luiz A.; Meurers, Detmar

2011-01-01

This paper explores the motivation and prerequisites for successful integration of Intelligent Computer-Assisted Language Learning (ICALL) tools into current foreign language teaching and learning (FLTL) practice. We focus on two aspects, which we argue to be important for effective ICALL system development and use: (i) the relationship between…

A Computer-Assisted Learning Model Based on the Digital Game Exponential Reward System

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Moon, Man-Ki; Jahng, Surng-Gahb; Kim, Tae-Yong

2011-01-01

The aim of this research was to construct a motivational model which would stimulate voluntary and proactive learning using digital game methods offering players more freedom and control. The theoretical framework of this research lays the foundation for a pedagogical learning model based on digital games. We analyzed the game reward system, which…

THE USE OF BLENDED LEARNING MODELS IN THE PROCESS OF FOREIGN LANGUAGE LEARNING

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Oleksandra Bezverkha

2017-09-01

Full Text Available In the article, the acute problem of implementation of pedagogical innovations and online technologies into the educational process is analyzed. The article explores the advantages of blended learning as a latter-day educational program in comparison with traditional campus learning. Blended learning is regarded worldwide as the combination of classroom face-to-face sessions with interactive learning opportunities created online. The purpose of the article is to identify blended learning transformational potential impacting students and teachers by ensuring a more personalized learning experience. The concept of blended learning, as a means to enhance foreign language teaching and learning in the classroom during the traditional face-to-face interaction between a teacher and a student, combined with computer-mediated activities, is examined. In the article, the main classification of blended learning models is established. There are four main blended learning models which include both face-to-face instruction time and online learning: Rotation Model, Flex Model, A La Carte Model, and Enriched Virtual Model. Once implemented successfully, a blended model can take advantage of both brick-and-mortar and digital worlds, providing significant benefits for the educational establishments and learners. To integrate any of the blended learning models, a teacher can create online activities that enable learners to explore the topic online at home, and then develop face-to-face interactions to dig deeper into the subject matter at the lesson. The use of blended learning models in order to expand educational opportunities for students while the foreign language acquisition, by increasing the availability and flexibility of education, taking into account student individual learning needs, with some element of student control over time, place and pace, is explored. The realization of blended learning models in regards to age and physiological peculiarities of

Optimizing Computer Assisted Instruction By Applying Principles of Learning Theory.

Science.gov (United States)

Edwards, Thomas O.

The development of learning theory and its application to computer-assisted instruction (CAI) are described. Among the early theoretical constructs thought to be important are E. L. Thorndike's concept of learning connectisms, Neal Miller's theory of motivation, and B. F. Skinner's theory of operant conditioning. Early devices incorporating those…

Income Tax Preparation Assistance Service Learning Program: A Multidimensional Assessment

Science.gov (United States)

Aldridge, Richard; Callahan, Richard A.; Chen, Yining; Wade, Stacy R.

2015-01-01

The authors present a multidimensional assessment of the outcomes and benefits of an income tax preparation assistance (ITPA) service learning program. They measure the perceived proximate benefits at the delivery of the service program, the actual learning outcome benefits prior to graduation, and the perceived long-term benefits from a…

From Computer Assisted Language Learning (CALL) to Mobile Assisted Language Use (MALU)

Science.gov (United States)

Jarvis, Huw; Achilleos, Marianna

2013-01-01

This article begins by critiquing the long-established acronym CALL (Computer Assisted Language Learning). We then go on to report on a small-scale study which examines how student non-native speakers of English use a range of digital devices beyond the classroom in both their first (L1) and second (L2) languages. We look also at the extent to…

Dental nursing education and the introduction of technology-assisted learning.

Science.gov (United States)

Sheridan, C; Gorman, T; Claffey, N

2008-11-01

The aim of this paper is to explore the profile of dental nursing students in the National Dental Nurse Training Programme of Ireland and their adjustment to a technology-assisted learning environment. Evaluation by students of the course and their reactions to the course were analysed. Dental nurses must possess the skills and knowledge to proficiently function in the modern day dental surgery. The implementation of a dental nurse programme that is heavily reliant on technology has started to create a group of dental nurses equipped with basic skills to access and retrieve information over a lifetime. However, the transition to a technology-assisted learning environment including online learning activities requires adaptation and expertise by educators and students alike. Careful evaluation and stakeholder feedback is imperative in the creation and maintaining of a quality programme. In conclusion, the students in this study responded well to the transition to a technology-based learning environment. Furthermore, the findings of this study suggest that the use of an online environment is an effective and stimulating learning environment for the students of a dental nurse programme; however, familiarity skills and knowledge of information technology is a prerequisite for success.

Context-Dependent Help for the DynaLearn Modelling and Simulation Workbench

NARCIS (Netherlands)

Beek, W.; Bredeweg, B.; Latour, S.; Biswas, G.; Bull, S.; Kay, J.; Mitrovic, A.

2011-01-01

We implemented three kinds of context-dependent help for a qualitative modelling and simulation workbench called DynaLearn. We show that it is possible to generate and select assistance knowledge based on the current model, simulation results and workbench state.

Computer-Assisted Language Learning (CALL) in Support of (Re)-Learning Native Languages: The Case of Runyakitara

Science.gov (United States)

Katushemererwe, Fridah; Nerbonne, John

2015-01-01

This study presents the results from a computer-assisted language learning (CALL) system of Runyakitara (RU_CALL). The major objective was to provide an electronic language learning environment that can enable learners with mother tongue deficiencies to enhance their knowledge of grammar and acquire writing skills in Runyakitara. The system…

Lecture capturing assisted teaching and learning experience

Science.gov (United States)

Chen, Li

2015-03-01

When it comes to learning, a deep understanding of the material and a broadband of knowledge are equally important. However, provided limited amount of semester time, instructors often find themselves struggling to reach both aspects at the same time and are often forced to make a choice between the two. On one hand, we would like to spend much time to train our students, with demonstrations, step by step guidance and practice, to develop strong critical thinking skills and problem-solving skills. On the other hand, we also would like to cover a wide range of content topics to broaden our students' understanding. In this presentation, we propose a working scheme that may assist to achieve these two goals at the same time without sacrificing either one. With the help of recorded and pre-recorded lectures and other class materials, it allows instructors to spend more class time to focus on developing critical thinking skills and problem-solving skills, and to apply and connect principle knowledge with real life phenomena. It also allows our students to digest the material at a pace they are comfortable with by watching the recorded lectures over and over. Students now have something as a backup to refer to when they have random mistakes and/or missing spots on their notes, and hence take more ownership of their learning. Advanced technology have offered flexibility of how/when the content can be delivered, and have been assisting towards better teaching and learning strategies.

Development of a model for whole brain learning of physiology.

Science.gov (United States)

Eagleton, Saramarie; Muller, Anton

2011-12-01

In this report, a model was developed for whole brain learning based on Curry's onion model. Curry described the effect of personality traits as the inner layer of learning, information-processing styles as the middle layer of learning, and environmental and instructional preferences as the outer layer of learning. The model that was developed elaborates on these layers by relating the personality traits central to learning to the different quadrants of brain preference, as described by Neethling's brain profile, as the inner layer of the onion. This layer is encircled by the learning styles that describe different information-processing preferences for each brain quadrant. For the middle layer, the different stages of Kolb's learning cycle are classified into the four brain quadrants associated with the different brain processing strategies within the information processing circle. Each of the stages of Kolb's learning cycle is also associated with a specific cognitive learning strategy. These two inner circles are enclosed by the circle representing the role of the environment and instruction on learning. It relates environmental factors that affect learning and distinguishes between face-to-face and technology-assisted learning. This model informs on the design of instructional interventions for physiology to encourage whole brain learning.

Peer Assisted Learning in Clinical Education: Literature Review

Science.gov (United States)

Henning, Jolene M.; Weidner, Thomas G.; Marty, Melissa C.

2008-01-01

Objective: To examine the occurrence, benefits, and preferences for peer assisted learning (PAL) in medical and allied health clinical education, and to identify areas in athletic training which need further research. Data Sources: Using relevant terms, five databases were searched for the period 1980-2006 regarding literature on the use of PAL in…

Peer-assisted learning: a medical student perspective

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Fallaha MA

2018-03-01

Full Text Available Mohammad Amre Fallaha, Aalia Pagarkar, Nicholas LucasFaculty of Medicine, Imperial College London, London, UKWe read the paper by Kazzazi et al1 with great interest. The original paper was informative, and as penultimate year medical students at Imperial College, we want to share our unique perspective regarding student learning and the benefits of peer-assisted learning (PAL. We find that many subjects, including embryology as outlined in the paper,1 are complex and typically taught through lecture-based formats. While this may be understandable to readers of respective specialties, students may find certain concepts abstract and not easily grasped through lectures alone.View the original paper by Kazzazi and Bartlett.

Becoming an Effective Peer Assisted Learning (PAL) Leader

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West, Harry; Jenkins, Rhiannon; Hill, Jennifer

2017-01-01

This Directions paper, written by two former Peer Assisted Learning (PAL) Leaders, (West and Jenkins) and a PAL Tutor (Hill), will support any geographer considering a PAL role. It reflects their experiences of participating in a PAL scheme at the University of the West of England (UWE), Bristol, United Kingdom, and research conducted with…

Emerging issues and current trends in assistive technology use 2007-2010: practising, assisting and enabling learning for all.

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Abbott, Chris; Brown, David; Evett, Lindsay; Standen, Penny

2014-11-01

Following an earlier review in 2007, a further review of the academic literature relating to the uses of assistive technology (AT) by children and young people was completed, covering the period 2007-2011. As in the earlier review, a tripartite taxonomy: technology uses to train or practise, technology uses to assist learning and technology uses to enable learning, was used in order to structure the findings. The key markers for research in this field and during these three years were user involvement, AT on mobile mainstream devices, the visibility of AT, technology for interaction and collaboration, new and developing interfaces and inclusive design principles. The paper concludes by locating these developments within the broader framework of the Digital Divide.

Pre-Service Teachers' Uses of and Barriers from Adopting Computer-Assisted Language Learning (CALL) Programs

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Samani, Ebrahim; Baki, Roselan; Razali, Abu Bakar

2014-01-01

Success in implementation of computer-assisted language learning (CALL) programs depends on the teachers' understanding of the roles of CALL programs in education. Consequently, it is also important to understand the barriers teachers face in the use of computer-assisted language learning (CALL) programs. The current study was conducted on 14…

Utilisation of a peer assisted learning scheme in an undergraduate diagnostic radiography module

International Nuclear Information System (INIS)

Meertens, R.

2016-01-01

Background: Peer to peer support programmes involve students supporting each other in either an educational, social and/or pastoral way. This is now common place in higher education institutes and has been proven to decrease student attrition and improve grades. Aim: To evaluate a peer assisted learning scheme (PALS) within the University of Exeter undergraduate programme, where final year (stage 3) students held extra-curricular teaching sessions in an on-campus X-ray room throughout the academic term to support a first year (stage 1) module introducing basic projectional radiographic examinations, radiation safety, patient care and radiographic equipment. PALS sessions were unstructured and as such could involve roleplaying radiographic examinations, revisiting lecture material and/or discussing hospital placement or pastoral issues. Methods: Brookfield's four lenses of critical reflection were used. 16 of 63 stage 1 students and 9 of 29 stage 3 students were electronically surveyed upon completion of the PALS sessions. Relevant colleagues and educational specialists were also informally interviewed. These were put in context with autobiographical reflections and the existing literature base on PALS. Results: All agreed that the sessions provided a good environment for stage 1 students to improve their practical skills, revise lecture content, and gain confidence for upcoming clinical placements. Stage 3 students gained experience teaching students, an essential role of a graduate radiographer's job. Improvements around recruiting stage 3 peer leaders, sustainability, timetabling and session structure were explored. Conclusion: The PALS proved to be a successful initiative within the undergraduate programme and will be continued into the future. - Highlights: • Peer Assisted Learning Schemes are an established part of higher education. • Peer Assisted Learning Schemes can reduce student attrition and improve grades. • Peer Assisted Learning

Facilitating Teachers' Reuse of Mobile Assisted Language Learning Resources Using Educational Metadata

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Zervas, Panagiotis; Sampson, Demetrios G.

2014-01-01

Mobile assisted language learning (MALL) and open access repositories for language learning resources are both topics that have attracted the interest of researchers and practitioners in technology enhanced learning (TeL). Yet, there is limited experimental evidence about possible factors that can influence and potentially enhance reuse of MALL…

Making Sense of Video Analytics: Lessons Learned from Clickstream Interactions, Attitudes, and Learning Outcome in a Video-Assisted Course

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Michail N. Giannakos

2015-02-01

Full Text Available Online video lectures have been considered an instructional media for various pedagogic approaches, such as the flipped classroom and open online courses. In comparison to other instructional media, online video affords the opportunity for recording student clickstream patterns within a video lecture. Video analytics within lecture videos may provide insights into student learning performance and inform the improvement of video-assisted teaching tactics. Nevertheless, video analytics are not accessible to learning stakeholders, such as researchers and educators, mainly because online video platforms do not broadly share the interactions of the users with their systems. For this purpose, we have designed an open-access video analytics system for use in a video-assisted course. In this paper, we present a longitudinal study, which provides valuable insights through the lens of the collected video analytics. In particular, we found that there is a relationship between video navigation (repeated views and the level of cognition/thinking required for a specific video segment. Our results indicated that learning performance progress was slightly improved and stabilized after the third week of the video-assisted course. We also found that attitudes regarding easiness, usability, usefulness, and acceptance of this type of course remained at the same levels throughout the course. Finally, we triangulate analytics from diverse sources, discuss them, and provide the lessons learned for further development and refinement of video-assisted courses and practices.

Quality Computer Assisted Mobile Learning (CAML and Distance Education Leadership in Managing Technology Enhanced Learning Management System (TELMS in the Malaysian Public Tertiary Education

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Lee Tan Luck

2009-07-01

Full Text Available Abstract - The success in the implementation of a quality computer assisted mobile learning and distance education in a Technology Enhanced Learning Management System is highly rely on the academic leadership in managing and application of Information and Communication Technology (ICT in the tertiary level. The effectiveness of its leadership, knowledge, application and management of ICT and learning management system is of utmost important. Successful application and management includes quality and cost effectiveness of universities administration, CAML and distance education leadership development, organizational culture, academic staffs and students’ attitude and their commitment towards teaching and learning process, support towards the usage of state of the art techno-educational facilities, availability of ICT resources, maintenance and funding of a Learning Management System. This paper will discuss the above factors, which present a comprehensive framework for the implementation of a quality CAML and distance education environment in ICT application and management in the Malaysian public universities. Selected Fifty-two respondents from two Malaysian public universities which offer e Learning and distance education with Learning Management System were acquired. A survey questionnaire is used to determine the effectiveness of ICT and mobile learning application management. Data from the questionnaires were analyzed by using non-parametric and parametric statistics testing. Results of this study show there is significant different in the CAML and distance education leadership in TELMS and the application of ICT and its management in the Malaysian public universities. The study will also address the implementation elements necessary for transforming the public universities and its CAML and distance education teaching and learning process into an effective and result oriented computer assisted mobile learning management model in public

An Interactive Graphics Program for Assistance in Learning Convolution.

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Frederick, Dean K.; Waag, Gary L.

1980-01-01

A program has been written for the interactive computer graphics facility at Rensselaer Polytechnic Institute that is designed to assist the user in learning the mathematical technique of convolving two functions. Because convolution can be represented graphically by a sequence of steps involving folding, shifting, multiplying, and integration, it…

Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

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Rowe, Justin B; Chan, Vicky; Ingemanson, Morgan L; Cramer, Steven C; Wolbrecht, Eric T; Reinkensmeyer, David J

2017-08-01

Robots that physically assist movement are increasingly used in rehabilitation therapy after stroke, yet some studies suggest robotic assistance discourages effort and reduces motor learning. To determine the therapeutic effects of high and low levels of robotic assistance during finger training. We designed a protocol that varied the amount of robotic assistance while controlling the number, amplitude, and exerted effort of training movements. Participants (n = 30) with a chronic stroke and moderate hemiparesis (average Box and Blocks Test 32 ± 18 and upper extremity Fugl-Meyer score 46 ± 12) actively moved their index and middle fingers to targets to play a musical game similar to GuitarHero 3 h/wk for 3 weeks. The participants were randomized to receive high assistance (causing 82% success at hitting targets) or low assistance (55% success). Participants performed ~8000 movements during 9 training sessions. Both groups improved significantly at the 1-month follow-up on functional and impairment-based motor outcomes, on depression scores, and on self-efficacy of hand function, with no difference between groups in the primary endpoint (change in Box and Blocks). High assistance boosted motivation, as well as secondary motor outcomes (Fugl-Meyer and Lateral Pinch Strength)-particularly for individuals with more severe finger motor deficits. Individuals with impaired finger proprioception at baseline benefited less from the training. Robot-assisted training can promote key psychological outcomes known to modulate motor learning and retention. Furthermore, the therapeutic effectiveness of robotic assistance appears to derive at least in part from proprioceptive stimulation, consistent with a Hebbian plasticity model.

Learning outcomes through the cooperative learning team assisted individualization on research methodology’ course

Science.gov (United States)

Pakpahan, N. F. D. B.

2018-01-01

All articles must contain an abstract. The research methodology is a subject in which the materials must be understood by the students who will take the thesis. Implementation of learning should create the conditions for active learning, interactive and effective are called Team Assisted Individualization (TAI) cooperative learning. The purpose of this study: 1) improving student learning outcomes at the course research methodology on TAI cooperative learning. 2) improvement of teaching activities. 3) improvement of learning activities. This study is a classroom action research conducted at the Department of Civil Engineering Universitas Negeri Surabaya. The research subjects were 30 students and lecturer of courses. Student results are complete in the first cycle by 20 students (67%) and did not complete 10 students (33%). In the second cycle students who complete being 26 students (87%) and did not complete 4 students (13%). There is an increase in learning outcomes by 20%. Results of teaching activities in the first cycle obtained the value of 3.15 with the criteria enough well. In the second cycle obtained the value of 4.22 with good criterion. The results of learning activities in the first cycle obtained the value of 3.05 with enough criterion. In the second cycle was obtained 3.95 with good criterion.

Attitudes of Jordanian Undergraduate Students towards Using Computer Assisted Language Learning (CALL)

Science.gov (United States)

Saeed, Farah Jamal Abed Alrazeq; Al-Zayed, Norma Nawaf

2018-01-01

The study aimed at investigating the attitudes of Jordanian undergraduate students towards using computer assisted-language learning (CALL) and its effectiveness in the process of learning the English language. In order to fulfill the study's objective, the researchers used a questionnaire to collect data, followed-up with semi-structured…

Developing an e-learning resource for nurse airway assistants in the emergency department.

Science.gov (United States)

Hersey, Peter; McAleer, Sean

2017-02-23

The aims of this project were to determine the required competencies for a nurse in the emergency department assisting with a rapid sequence induction of anaesthesia (RSI), and to produce a relevant e-learning resource. A three-round multidisciplinary Delphi process produced the following competencies: ability to describe the steps and sequence of events of an RSI, familiarity with the equipment used during an RSI, ability to recognise and help manage problems occurring during an RSI, ability to prepare for an RSI, ability to apply cricoid pressure, and understanding the modification of an RSI in special circumstances. An interactive e-learning package was produced and made available online. Twelve emergency department nurses took part in an evaluation of the e-learning package. All either agreed or strongly agreed that they had increased their knowledge and found the learning useful, and 11 out of 12 nurses reported being somewhat or very confident in the role of airway assistant following completion of the learning.

Effects of a Computer-Assisted Concept Mapping Learning Strategy on EFL College Students' English Reading Comprehension

Science.gov (United States)

Liu, Pei-Lin; Chen, Chiu-Jung; Chang, Yu-Ju

2010-01-01

The purpose of this research was to investigate the effects of a computer-assisted concept mapping learning strategy on EFL college learners' English reading comprehension. The research questions were: (1) what was the influence of the computer-assisted concept mapping learning strategy on different learners' English reading comprehension? (2) did…

Examination of studies on technology-assisted collaborative learning published between 2010-2014

Directory of Open Access Journals (Sweden)

Ahmet Arnavut

2016-09-01

Full Text Available Abstract This study is a content analysis of the articles about technology-assisted collaborative learning published in Science Direct database between the years of 2010 and 2014. Developing technology has become a topic that we encounter in every aspect of our lives. Educators deal with the contribution and integration of technology into education. Therefore, in this study it was aimed to examine how integration of collaborative learning into technology would contribute to education or it would contribute to education or not. According to the results of the studies obtained from Science Direct database, there are many research related with technology-assisted collaborative learning. However, since all of the studies did not fulfill our search criteria for content analysis, a total number of 58 articles published between the years of 2010 and 2014 were used in this study.

Impact of Mobile Assisted Language Learning (MALL on EFL: A Meta-Analysis

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Imtiaz Hassan Taj

2016-04-01

Full Text Available Mobile Assisted Language Learning (MALL has emerged as a potential tool in the instruction of English as a foreign language (EFL. Meta-analysis of 13 studies published between year 2008 and 2015 was conducted. Four point criteria for the selection of studies for analysis is based on the year of publication, quasi-experimental design, pretest and posttest method and finally use of mobile device for intervention. Findings of the analysis suggest that MALL has fostered the EFL instruction. Overall effect size was (d = 0.8 which is considered a large effect size. Keywords: MALL, technology assisted language learning, EFL, vocabulary acquisition, vocabulary instruction, meta-analysis

Assistive Technology for Young Children: Creating Inclusive Learning Environments

Science.gov (United States)

Sadao, Kathleen C.; Robinson, Nancy B.

2010-01-01

Assistive technology (AT) can help young children with disabilities fully participate in natural, inclusive learning environments--but many early childhood professionals don't get the training they need to harness the power of AT. Fill that gap with this unintimidating, reader-friendly resource, the go-to guide to recommended AT practice for…

MODELING STUDENTS' INTENTION TO ADOPT E-LEARNING A CASE FROM EGYPT

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Ahmed Gad abdel-WAHAB

2008-01-01

Full Text Available ABSTRACTE-learning is becoming increasingly prominent in higher education, with universities increasing provision and more students signing up. This paper examines factors that predict students' intention to adopt e-learning at the Egyptian University of Mansourra. Understanding the nature of these factors may assist Egyptian universities in promoting the use of information and communication technology in teaching and learning. The main focus of the paper is on the university students, whose decision supports effective implementation of e-learning. Data was collected through a survey of 258 first year business students at the University of Mansoura in Egypt. The technology adoption model put forward by Davis is utilized in this study. Two more independent variables are added to the original model, namely, the pressure to act and resources availability. The results show that there are five factors that can be used in modeling students' intentions to adopt e-learning. These factors are attitudes toward e-learning, perceived usefulness of e-learning, perceived ease of e-learning use, pressure to use e-learning, and the availability of resources needed to use e-learning.

Learning curve for robotic-assisted surgery for rectal cancer: use of the cumulative sum method.

Science.gov (United States)

Yamaguchi, Tomohiro; Kinugasa, Yusuke; Shiomi, Akio; Sato, Sumito; Yamakawa, Yushi; Kagawa, Hiroyasu; Tomioka, Hiroyuki; Mori, Keita

2015-07-01

Few data are available to assess the learning curve for robotic-assisted surgery for rectal cancer. The aim of the present study was to evaluate the learning curve for robotic-assisted surgery for rectal cancer by a surgeon at a single institute. From December 2011 to August 2013, a total of 80 consecutive patients who underwent robotic-assisted surgery for rectal cancer performed by the same surgeon were included in this study. The learning curve was analyzed using the cumulative sum method. This method was used for all 80 cases, taking into account operative time. Operative procedures included anterior resections in 6 patients, low anterior resections in 46 patients, intersphincteric resections in 22 patients, and abdominoperineal resections in 6 patients. Lateral lymph node dissection was performed in 28 patients. Median operative time was 280 min (range 135-683 min), and median blood loss was 17 mL (range 0-690 mL). No postoperative complications of Clavien-Dindo classification Grade III or IV were encountered. We arranged operative times and calculated cumulative sum values, allowing differentiation of three phases: phase I, Cases 1-25; phase II, Cases 26-50; and phase III, Cases 51-80. Our data suggested three phases of the learning curve in robotic-assisted surgery for rectal cancer. The first 25 cases formed the learning phase.

An Investigation of the Relationship between College Chinese EFL Students' Autonomous Learning Capacity and Motivation in Using Computer-Assisted Language Learning

Science.gov (United States)

Pu, Minran

2009-01-01

The purpose of the study was to investigate the relationship between college EFL students' autonomous learning capacity and motivation in using web-based Computer-Assisted Language Learning (CALL) in China. This study included three questionnaires: the student background questionnaire, the questionnaire on student autonomous learning capacity, and…

Effectiveness of POGIL Learning Model with Ethnomathematics Nuance Assisted by Student Worksheet toward Student Mathematical Communication Skill

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Hilyatin Farda

2017-08-01

Full Text Available The purpose of this study was to analyzing the effectiveness of POGIL model learning with ethnomathematics nuance by using student worksheets towards student’s mathematical communication ability in quadraliteral materialand. The population in this research was the students of seventh grade Junior High School 1 Welahan on year 2016/2017. By using simple random sampling, the selected samples were VII-A as control class with PBL model learning and VII-B as experiment class with POGIL model learning with nuance ethnomathematics by using student worksheet. The methods which have been used to collect data were documentation, test, and questionnaire. Data were analyzed using proportion test, independent samples t-test, and linear regression. The result of research showed that (1 Student’s mathematical communication ability which have studied with POGIL model learning with ethnomathematics nuance by using student worksheets reach the minimum score criteria, (2 The average of student’s mathematical communication ability by implementing POGIL model learning with ethnomathematics nuance by using student worksheets better than the average of student’s mathematical communication ability by implementing PBL model learning, (3 Respect to local culture attitude influenced toward mathematical communication ability with the number 55,5%.

Adoption of computer-assisted learning in medical education: the educators' perspective.

Science.gov (United States)

Schifferdecker, Karen E; Berman, Norm B; Fall, Leslie H; Fischer, Martin R

2012-11-01

Computer-assisted learning (CAL) in medical education has been shown to be effective in the achievement of learning outcomes, but requires the input of significant resources and development time. This study examines the key elements and processes that led to the widespread adoption of a CAL program in undergraduate medical education, the Computer-assisted Learning in Paediatrics Program (CLIPP). It then considers the relative importance of elements drawn from existing theories and models for technology adoption and other studies on CAL in medical education to inform the future development, implementation and testing of CAL programs in medical education. The study used a mixed-methods explanatory design. All paediatric clerkship directors (CDs) using CLIPP were recruited to participate in a self-administered, online questionnaire. Semi-structured interviews were then conducted with a random sample of CDs to further explore the quantitative results. Factors that facilitated adoption included CLIPP's ability to fill gaps in exposure to core clinical problems, the use of a national curriculum, development by CDs, and the meeting of CDs' desires to improve teaching and student learning. An additional facilitating factor was that little time and effort were needed to implement CLIPP within a clerkship. The quantitative findings were mostly corroborated by the qualitative findings. This study indicates issues that are important in the consideration and future exploration of the development and implementation of CAL programs in medical education. The promise of CAL as a method of enhancing the process and outcomes of medical education, and its cost, increase the need for future CAL funders and developers to pay equal attention to the needs of potential adopters and the development process as they do to the content and tools in the CAL program. Important questions that remain on the optimal design, use and integration of CAL should be addressed in order to adequately inform

Enhancing students’ mathematical representation and selfefficacy through situation-based learning assisted by geometer’s sketchpad program

Science.gov (United States)

Sowanto; Kusumah, Y. S.

2018-05-01

This research was conducted based on the problem of a lack of students’ mathematical representation ability as well as self-efficacy in accomplishing mathematical tasks. To overcome this problem, this research used situation-based learning (SBL) assisted by geometer’s sketchpad program (GSP). This research investigated students’ improvement of mathematical representation ability who were taught under situation-based learning (SBL) assisted by geometer’s sketchpad program (GSP) and regular method that viewed from the whole students’ prior knowledge (high, average, and low level). In addition, this research investigated the difference of students’ self-efficacy after learning was given. This research belongs to quasi experiment research using non-equivalent control group design with purposive sampling. The result of this research showed that students’ enhancement in their mathematical representation ability taught under SBL assisted by GSP was better than the regular method. Also, there was no interaction between learning methods and students prior knowledge in student’ enhancement of mathematical representation ability. There was significant difference of students’ enhancement of mathematical representation ability taught under SBL assisted by GSP viewed from students’ prior knowledge. Furthermore, there was no significant difference in terms of self-efficacy between those who were taught by SBL assisted by GSP with the regular method.

Authoring Robot-Assisted Instructional Materials for Improving Learning Performance and Motivation in EFL Classrooms

Science.gov (United States)

Hong, Zeng-Wei; Huang, Yueh-Min; Hsu, Marie; Shen, Wei-Wei

2016-01-01

Anthropomorphized robots are regarded as beneficial tools in education due to their capabilities of improving teaching effectiveness and learning motivation. Therefore, one major trend of research, known as Robot- Assisted Language Learning (RALL), is trying to develop robots to support teaching and learning English as a foreign language (EFL). As…

Toxin-Induced Experimental Models of Learning and Memory Impairment.

Science.gov (United States)

More, Sandeep Vasant; Kumar, Hemant; Cho, Duk-Yeon; Yun, Yo-Sep; Choi, Dong-Kug

2016-09-01

Animal models for learning and memory have significantly contributed to novel strategies for drug development and hence are an imperative part in the assessment of therapeutics. Learning and memory involve different stages including acquisition, consolidation, and retrieval and each stage can be characterized using specific toxin. Recent studies have postulated the molecular basis of these processes and have also demonstrated many signaling molecules that are involved in several stages of memory. Most insights into learning and memory impairment and to develop a novel compound stems from the investigations performed in experimental models, especially those produced by neurotoxins models. Several toxins have been utilized based on their mechanism of action for learning and memory impairment such as scopolamine, streptozotocin, quinolinic acid, and domoic acid. Further, some toxins like 6-hydroxy dopamine (6-OHDA), 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and amyloid-β are known to cause specific learning and memory impairment which imitate the disease pathology of Parkinson's disease dementia and Alzheimer's disease dementia. Apart from these toxins, several other toxins come under a miscellaneous category like an environmental pollutant, snake venoms, botulinum, and lipopolysaccharide. This review will focus on the various classes of neurotoxin models for learning and memory impairment with their specific mechanism of action that could assist the process of drug discovery and development for dementia and cognitive disorders.

Performance, Cognitive Load, and Behaviour of Technology-Assisted English Listening Learning: From CALL to MALL

Science.gov (United States)

Chang, Chi-Cheng; Warden, Clyde A.; Liang, Chaoyun; Chou, Pao-Nan

2018-01-01

This study examines differences in English listening comprehension, cognitive load, and learning behaviour between outdoor ubiquitous learning and indoor computer-assisted learning. An experimental design, employing a pretest-posttest control group is employed. Randomly assigned foreign language university majors joined either the experimental…

Using peer-assisted learning to teach and evaluate residents’ musculoskeletal skills

Directory of Open Access Journals (Sweden)

Johanna Martinez

2015-05-01

Full Text Available Although direct observation and corrective feedback are established methods of increasing select aspects of residents’ musculoskeletal (MSK clinical skills, the evaluation and management of patients with MSK complaints remains an underemphasized part of internal medicine training. This paper reports on the development of an innovative peer-assisted learning (PAL model to teach five MSK areas (back, knee, shoulder, neck, or hip pain. Based on data from 42 participating interns and 44 senior residents from an urban US academic medical center, results from an objective structured clinical exam (OSCE demonstrate gains in both knowledge and self-reported confidence in MSK skills. Moreover, subsequent focus group results reveal a strong preference for the PAL model. In conclusion, an educational module that utilizes the OSCE format holds much promise for teaching MSK skills to both intern and senior residents.

Upper limb stroke rehabilitation: the effectiveness of Stimulation Assistance through Iterative Learning (SAIL).

Science.gov (United States)

Meadmore, Katie L; Cai, Zhonglun; Tong, Daisy; Hughes, Ann-Marie; Freeman, Chris T; Rogers, Eric; Burridge, Jane H

2011-01-01

A novel system has been developed which combines robotic therapy with electrical stimulation (ES) for upper limb stroke rehabilitation. This technology, termed SAIL: Stimulation Assistance through Iterative Learning, employs advanced model-based iterative learning control (ILC) algorithms to precisely assist participant's completion of 3D tracking tasks with their impaired arm. Data is reported from a preliminary study with unimpaired participants, and also from a single hemiparetic stroke participant with reduced upper limb function who has used the system in a clinical trial. All participants completed tasks which involved moving their (impaired) arm to follow an image of a slowing moving sphere along a trajectory. The participants' arm was supported by a robot and ES was applied to the triceps brachii and anterior deltoid muscles. During each task, the same tracking trajectory was repeated 6 times and ILC was used to compute the stimulation signals to be applied on the next iteration. Unimpaired participants took part in a single, one hour training session and the stroke participant undertook 18, 1 hour treatment sessions composed of tracking tasks varying in length, orientation and speed. The results reported describe changes in tracking ability and demonstrate feasibility of the SAIL system for upper limb rehabilitation. © 2011 IEEE

An Integrated Multimedia Learning Model vs. the Traditional Face-to-Face Learning Model: An Examination of College Economics Classes

Science.gov (United States)

Son, Barbara; Simonian, Mark

2016-01-01

Multimedia learning tools can assist and help motivate students by supplementing traditional teaching modalities with learner-centered learning through application and practice. The overall effectiveness of multimedia learning has been documented (Son & Simonian, 2013; Son & Goldstone, 2012; Zhang, 2005). How are effective multimedia…

The Impact of Utilising Mobile Assisted Language Learning (MALL) on Vocabulary Acquisition among Migrant Women English Learners

Science.gov (United States)

Ahmad, Kham Sila; Armarego, Jocelyn; Sudweeks, Fay

2017-01-01

Aim/Purpose: To develop a framework for utilizing Mobile Assisted Language Learning (MALL) to assist non-native English migrant women to acquire English vocabulary in a non-formal learning setting. Background: The women in this study migrated to Australia with varied backgrounds including voluntary or forced migration, very low to high levels of…

PARTICULARITIES OF EDUCATIONAL OBJECTS IN COMPUTER-ASSISTED LEARNING FOR PERSONS WITH DISABILITIES

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Narcisa ISĂILĂ

2010-12-01

Full Text Available The current trend in computer-assisted learning is the creation of reusable learning objects. They can be used independently or can be coupled to make lessons that best fit the users' learning needs. From this perspective, the specific of learning objects for people with disabilities is to ensure accessibility and usability. Using standards in the process of creating learning objects provide flexibility in achieving lessons, thus being helpful for educational content creators (teachers. Metadata have an essential role in achieving interoperability and provide standardized information about the learning objects, allowing the searching, accessing and their finding. The compliance of eLearning standards ensures the compatibility and portability of materials from one system to another, which reduces the time and cost of development.

Peer assisted learning in the clinical setting: an activity systems analysis

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Bennett, Deirdre; O?Flynn, Siun; Kelly, Martina

2014-01-01

Peer assisted learning (PAL) is a common feature of medical education. Understanding of PAL has been based on processes and outcomes in controlled settings, such as clinical skills labs. PAL in the clinical setting, a complex learning environment, requires fresh evaluation. Socio-cultural theory is proposed as a means to understand educational interventions in ways that are practical and meaningful. We describe the evaluation of a PAL intervention, introduced to support students? transition i...

THE EFFECT OF COOPERATIVE LEARNING ASSISTED WITH MODULE AND STUDENTS LEARNING MOTIVATION TOWARD THE STUDY RESULT ON STUDENTS SENIOR HIGH SCHOOL

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Hotman Sitanggang

2014-12-01

Full Text Available The aim of this research is to improve learning quality of high school students in grade ten (X to the study material is about the vector. This research is a quasiexperimental study. Samples selection is random, using the control class from the adjacent class to avoid the large bias. The results of samples selection are the students of class X-H as the control class and the students of class X-I as the experimental class. The motivation variable was distinguished from the observations of student activities at the pre-study and at current research. Highly motivated students are the students who actively ask the questions and give answers to problems. While the low-motivated students are the students whose learning activities are the less. This research was designed using 2x2 factorial ANOVA, namely the effects of cooperative learning between learning without module and module-assisted learning on students’ learning results; and the effects of students’ learning motivation between highly motivated students and low motivated students. After given the treatment, those are: the same pre-test, cooperative learning without modules in control class, module-assisted cooperative learning in experimental class, the same post-test, questionnaires distribution, collection and tabulation of the data. The data were analyzed using qualitative-descriptive technique and percentage. The data analysis results using SPSS 17.0 conclude that: (1 There is a significant difference of study results in cooperative learning without module against module-assisted cooperative learning. (2 There is a significant difference of study results between highly motivated students and low motivated students. (3 There is a significant difference of study results between the group of cooperative learning and the group of student motivation at the significance value of = 0.05.

Video-assisted palatopharyngeal surgery: a model for improved education and training.

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Allori, Alexander C; Marcus, Jeffrey R; Daluvoy, Sanjay; Bond, Jennifer

2014-09-01

Objective : The learning process for intraoral procedures is arguably more difficult than for other surgical procedures because of the assistant's severely limited visibility. Consequently, trainees may not be able to adequately see and follow all steps of the procedure, and attending surgeons may be less willing to entrust trainees with critical portions of the procedure. In this report, we propose a video-assisted approach to intraoral procedures that improves lighting, visibility, and potential for effective education and training. Design : Technical report (idea/innovation). Setting : Tertiary referral hospital. Patients : Children with cleft palate and velopharyngeal insufficiency requiring surgery. Interventions : Video-assisted palatoplasty, sphincteroplasty, and pharyngoplasty. Main Outcome Measures : Qualitative and semiquantitative educational outcomes, including learner perception regarding "real-time" (video-assisted surgery) and "non-real-time" (video-library-based) surgical education. Results : Trainees were strongly in favor of the video-assisted modality in "real-time" surgical training. Senior trainees identified more opportunities in which they had been safely entrusted to perform critical portions of the procedure, corresponding with satisfaction with the learning process scores, and they showed greater comfort/confidence scores related to performing the procedure under supervision and alone. Conclusions : Adoption of the video-assisted approach can be expected to markedly improve the learning curve for surgeons in training. This is now standard practice at our institution. We are presently conducting a full educational technology assessment to better characterize the effect on knowledge acquisition and technical improvement.

Learning English Vocabulary in a Mobile Assisted Language Learning (MALL Environment: A Sociocultural Study of Migrant Women

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Kham Sila Ahmad

2015-05-01

Full Text Available This paper reports on a case study of a group of six non-native English speaking migrant women’s experiences learning English vocabulary in a mobile assisted language learning (MALL environment at a small community centre in Western Australia. A sociocultural approach to learning vocabulary was adopted in designing the MALL lessons that the women undertook. The women provided demographic information, responded to questions in a pre-MALL semi-structured interview, attended the MALL lessons, and completed a post-MALL semi-structured interview. This study explores the sociocultural factors that affect migrant women’s language learning in general, and vocabulary in particular. The women’s responses to MALL lessons and using the tablet reveal a positive effect in their vocabulary learning.

Mobile Assisted Language Learning: Review of the Recent Applications of Emerging Mobile Technologies

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Yang, Jaeseok

2013-01-01

As mobile computing technologies have been more powerful and inclusive in people's daily life, the issue of mobile assisted language learning (MALL) has also been widely explored in CALL research. Many researches on MALL consider the emerging mobile technologies have considerable potentials for the effective language learning. This review study…

Application of Computer-Assisted Learning Methods in the Teaching of Chemical Spectroscopy.

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Ayscough, P. B.; And Others

1979-01-01

Discusses the application of computer-assisted learning methods to the interpretation of infrared, nuclear magnetic resonance, and mass spectra; and outlines extensions into the area of integrated spectroscopy. (Author/CMV)

Learning to Swim Using Video Modelling and Video Feedback within a Self-Management Program

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Lao, So-An; Furlonger, Brett E.; Moore, Dennis W.; Busacca, Margherita

2016-01-01

Although many adults who cannot swim are primarily interested in learning by direct coaching there are options that have a focus on self-directed learning. As an alternative a self-management program combined with video modelling, video feedback and high quality and affordable video technology was used to assess its effectiveness to assisting an…

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems.

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Wang, Handing; Jin, Yaochu; Doherty, John

2017-09-01

Function evaluations (FEs) of many real-world optimization problems are time or resource consuming, posing a serious challenge to the application of evolutionary algorithms (EAs) to solve these problems. To address this challenge, the research on surrogate-assisted EAs has attracted increasing attention from both academia and industry over the past decades. However, most existing surrogate-assisted EAs (SAEAs) either still require thousands of expensive FEs to obtain acceptable solutions, or are only applied to very low-dimensional problems. In this paper, a novel surrogate-assisted particle swarm optimization (PSO) inspired from committee-based active learning (CAL) is proposed. In the proposed algorithm, a global model management strategy inspired from CAL is developed, which searches for the best and most uncertain solutions according to a surrogate ensemble using a PSO algorithm and evaluates these solutions using the expensive objective function. In addition, a local surrogate model is built around the best solution obtained so far. Then, a PSO algorithm searches on the local surrogate to find its optimum and evaluates it. The evolutionary search using the global model management strategy switches to the local search once no further improvement can be observed, and vice versa. This iterative search process continues until the computational budget is exhausted. Experimental results comparing the proposed algorithm with a few state-of-the-art SAEAs on both benchmark problems up to 30 decision variables as well as an airfoil design problem demonstrate that the proposed algorithm is able to achieve better or competitive solutions with a limited budget of hundreds of exact FEs.

Effects of ICT Assisted Real and Virtual Learning on the Performance of Secondary School Students

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Deka, Monisha; Jena, Ananta Kumar

2017-01-01

The study aimed to assess the effect of ICT assisted real and virtual learning performance over the traditional approach of secondary school students. Non-Equivalent Pretest-Posttest Quasi Experimental Design used to assess and relate the effects of independent variables virtual learning on dependent variables (i.e. learning performance).…

Mobile Assisted Language Learning (MALL – A Brief Survey

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Maaruf Ali

2018-04-01

Full Text Available This paper gives an overview of electronic learning (E-Learning and mobile learning (M-Learning adoption and diffusion trends, as well as their particular traits, characteristics and issues, especially in terms of cross-cultural and universal usability. E-Learning and M-Learning models using web services and cloud computing, as well as associated security concerns are all addressed. The benefits and enhancements that accrue from using mobile and other internet devices for the purposes of learning in academia are discussed. The differences between traditional classroom-based learning, distance learning, E-Learning and M-Learning models are compared and some conclusions are drawn.

Standardization of computer-assisted semen analysis using an e-learning application.

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Ehlers, J; Behr, M; Bollwein, H; Beyerbach, M; Waberski, D

2011-08-01

Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other

Peer-Assisted Learning in the Athletic Training Clinical Setting

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Henning, Jolene M; Weidner, Thomas G; Jones, James

2006-01-01

Context: Athletic training educators often anecdotally suggest that athletic training students enhance their learning by teaching their peers. However, peer-assisted learning (PAL) has not been examined within athletic training education in order to provide evidence for its current use or as a pedagogic tool. Objective: To describe the prevalence of PAL in athletic training clinical education and to identify students' perceptions of PAL. Design: Descriptive. Setting: “The Athletic Training Student Seminar” at the National Athletic Trainers' Association 2002 Annual Meeting and Clinical Symposia. Patients or Other Participants: A convenience sample of 138 entry-level male and female athletic training students. Main Outcome Measure(s): Students' perceptions regarding the prevalence and benefits of and preferences for PAL were measured using the Athletic Training Peer-Assisted Learning Assessment Survey. The Survey is a self-report tool with 4 items regarding the prevalence of PAL and 7 items regarding perceived benefits and preferences. Results: A total of 66% of participants practiced a moderate to large amount of their clinical skills with other athletic training students. Sixty percent of students reported feeling less anxious when performing clinical skills on patients in front of other athletic training students than in front of their clinical instructors. Chi-square analysis revealed that 91% of students enrolled in Commission on Accreditation of Allied Health Education Programs–accredited athletic training education programs learned a minimal to small amount of clinical skills from their peers compared with 65% of students in Joint Review Committee on Educational Programs in Athletic Training–candidacy schools (χ2 3 = 14.57, P < .01). Multiple analysis of variance revealed significant interactions between sex and academic level on several items regarding benefits and preferences. Conclusions: According to athletic training students, PAL is occurring in

Using Assistive Technology in Teaching Children with Learning Disabilities in the 21st Century

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Adebisi, Rufus Olanrewaju; Liman, Nalado Abubakar; Longpoe, Patricia Kwalzoom

2015-01-01

This paper was written to expose the meaning, benefits, and answer why the use of assistive technology for children with learning disabilities. The paper discussed the various types of assistive technology devices that were designed and used to solve written language, reading, listening, memory and mathematic problems of children with learning…

The structure of observed learning outcome (SOLO) taxonomy: a model to promote dental students' learning.

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Lucander, H; Bondemark, L; Brown, G; Knutsson, K

2010-08-01

Selective memorising of isolated facts or reproducing what is thought to be required - the surface approach to learning - is not the desired outcome for a dental student or a dentist in practice. The preferred outcome is a deep approach as defined by an intention to seek understanding, develop expertise and relate information and knowledge into a coherent whole. The aim of this study was to investigate whether the structure of observed learning outcome (SOLO) taxonomy could be used as a model to assist and promote the dental students to develop a deep approach to learning assessed as learning outcomes in a summative assessment. Thirty-two students, participating in course eight in 2007 at the Faculty of Odontology at Malmö University, were introduced to the SOLO taxonomy and constituted the test group. The control group consisted of 35 students participating in course eight in 2006. The effect of the introduction was measured by evaluating responses to a question in the summative assessment by using the SOLO taxonomy. The evaluators consisted of two teachers who performed the assessment of learning outcomes independently and separately on the coded material. The SOLO taxonomy as a model for learning was found to improve the quality of learning. Compared to the control group significantly more strings and structured relations between these strings were present in the test group after the SOLO taxonomy had been introduced (P SOLO taxonomy is recommended as a model for promoting and developing a deeper approach to learning in dentistry.

Recognising Health Care Assistants' Prior Learning through a Caring Ideology

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Sandberg, Fredrik

2010-01-01

This article critically appraises a process of recognising prior learning (RPL) using analytical tools from Habermas' theory of communicative action. The RPL process is part of an in-service training program for health care assistants where the goal is to become a licensed practical nurse. Data about the RPL process were collected using interviews…

Optimized Assistive Human-Robot Interaction Using Reinforcement Learning.

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Modares, Hamidreza; Ranatunga, Isura; Lewis, Frank L; Popa, Dan O

2016-03-01

An intelligent human-robot interaction (HRI) system with adjustable robot behavior is presented. The proposed HRI system assists the human operator to perform a given task with minimum workload demands and optimizes the overall human-robot system performance. Motivated by human factor studies, the presented control structure consists of two control loops. First, a robot-specific neuro-adaptive controller is designed in the inner loop to make the unknown nonlinear robot behave like a prescribed robot impedance model as perceived by a human operator. In contrast to existing neural network and adaptive impedance-based control methods, no information of the task performance or the prescribed robot impedance model parameters is required in the inner loop. Then, a task-specific outer-loop controller is designed to find the optimal parameters of the prescribed robot impedance model to adjust the robot's dynamics to the operator skills and minimize the tracking error. The outer loop includes the human operator, the robot, and the task performance details. The problem of finding the optimal parameters of the prescribed robot impedance model is transformed into a linear quadratic regulator (LQR) problem which minimizes the human effort and optimizes the closed-loop behavior of the HRI system for a given task. To obviate the requirement of the knowledge of the human model, integral reinforcement learning is used to solve the given LQR problem. Simulation results on an x - y table and a robot arm, and experimental implementation results on a PR2 robot confirm the suitability of the proposed method.

A workflow learning model to improve geovisual analytics utility.

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Roth, Robert E; Maceachren, Alan M; McCabe, Craig A

2009-01-01

INTRODUCTION: This paper describes the design and implementation of the G-EX Portal Learn Module, a web-based, geocollaborative application for organizing and distributing digital learning artifacts. G-EX falls into the broader context of geovisual analytics, a new research area with the goal of supporting visually-mediated reasoning about large, multivariate, spatiotemporal information. Because this information is unprecedented in amount and complexity, GIScientists are tasked with the development of new tools and techniques to make sense of it. Our research addresses the challenge of implementing these geovisual analytics tools and techniques in a useful manner. OBJECTIVES: The objective of this paper is to develop and implement a method for improving the utility of geovisual analytics software. The success of software is measured by its usability (i.e., how easy the software is to use?) and utility (i.e., how useful the software is). The usability and utility of software can be improved by refining the software, increasing user knowledge about the software, or both. It is difficult to achieve transparent usability (i.e., software that is immediately usable without training) of geovisual analytics software because of the inherent complexity of the included tools and techniques. In these situations, improving user knowledge about the software through the provision of learning artifacts is as important, if not more so, than iterative refinement of the software itself. Therefore, our approach to improving utility is focused on educating the user. METHODOLOGY: The research reported here was completed in two steps. First, we developed a model for learning about geovisual analytics software. Many existing digital learning models assist only with use of the software to complete a specific task and provide limited assistance with its actual application. To move beyond task-oriented learning about software use, we propose a process-oriented approach to learning based on

Usability of clinical decision support system as a facilitator for learning the assistive technology adaptation process.

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Danial-Saad, Alexandra; Kuflik, Tsvi; Weiss, Patrice L Tamar; Schreuer, Naomi

2016-01-01

The aim of this study was to evaluate the usability of Ontology Supported Computerized Assistive Technology Recommender (OSCAR), a Clinical Decision Support System (CDSS) for the assistive technology adaptation process, its impact on learning the matching process, and to determine the relationship between its usability and learnability. Two groups of expert and novice clinicians (total, n = 26) took part in this study. Each group filled out system usability scale (SUS) to evaluate OSCAR's usability. The novice group completed a learning questionnaire to assess OSCAR's effect on their ability to learn the matching process. Both groups rated OSCAR's usability as "very good", (M [SUS] = 80.7, SD = 11.6, median = 83.7) by the novices, and (M [SUS] = 81.2, SD = 6.8, median = 81.2) by the experts. The Mann-Whitney results indicated that no significant differences were found between the expert and novice groups in terms of OSCAR's usability. A significant positive correlation existed between the usability of OSCAR and the ability to learn the adaptation process (rs = 0.46, p = 0.04). Usability is an important factor in the acceptance of a system. The successful application of user-centered design principles during the development of OSCAR may serve as a case study that models the significant elements to be considered, theoretically and practically in developing other systems. Implications for Rehabilitation Creating a CDSS with a focus on its usability is an important factor for its acceptance by its users. Successful usability outcomes can impact the learning process of the subject matter in general, and the AT prescription process in particular. The successful application of User-Centered Design principles during the development of OSCAR may serve as a case study that models the significant elements to be considered, theoretically and practically. The study emphasizes the importance of close collaboration between the developers and

Collocational Relations in Japanese Language Textbooks and Computer-Assisted Language Learning Resources

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Irena SRDANOVIĆ

2011-05-01

Full Text Available In this paper, we explore presence of collocational relations in the computer-assisted language learning systems and other language resources for the Japanese language, on one side, and, in the Japanese language learning textbooks and wordlists, on the other side. After introducing how important it is to learn collocational relations in a foreign language, we examine their coverage in the various learners’ resources for the Japanese language. We particularly concentrate on a few collocations at the beginner’s level, where we demonstrate their treatment across various resources. A special attention is paid to what is referred to as unpredictable collocations, which have a bigger foreign language learning-burden than the predictable ones.

Analysis of Students' After-School Mobile-Assisted Artifact Creation Processes in a Seamless Language Learning Environment

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Wong, Lung-Hsiang

2013-01-01

As part of a learner's learning ecology, the informal, out-of-school settings offer virtually boundless opportunities to advance one's learning. This paper reports on "Move, Idioms!", a design for Mobile-Assisted Language Learning experience that accentuates learners' habit of mind and skills in making meaning with their daily…

How Artefacts Mediate Small-Group Co-Creation Activities in a Mobile-Assisted Seamless Language Learning Environment?

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Wong, L. -H.; Chen, W.; Jan, M.

2012-01-01

The rich learning resources and contexts learners experience in their everyday life could play important roles in complementing formal learning, but are often neglected by learners and teachers. In this paper, we present an intervention study in "Move, Idioms!", a mobile-assisted Chinese language learning approach that emphasizes contextualized…

Instructional design in mathematics for undergraduate students based on learning by mistakes approach utilizing scilab assistance

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Kartika, H.

2018-03-01

The issue related to making mistake while learning such as negative emotion is found while students learn mathematics with the aid of a computer. When the computer output showed a mistake message, the students considered it as a computer software malfunction. Based on this issue, the writer designs an instructional model based on learning by mistake approach and which is Scilab assisted. The method used in this research is research design involving undergraduate students in matrix algebra courses. The data collected throught survey with questionnaire to gain feedback about the approach implemented. The data analyzed using quantitative descriptive. The instructional design proposed is the student act as a mistake corrector while the teacher acts as a mistake maker. Teacher deliberately makes mistakes with the help of Scilab software. On the other hand, students correct, analyze and explain errors resulting from Scilab software. The result of this research is an ICT based instructional design which is expected to be applicable as an alternative learning in directing students to think positively about mistakes in learning. Furthermore, students are also expected to improve their ability in understanding and thinking critically while solving problems and improving themselves in learning mathematics.

Effects of the learning assistant experience on in-service teachers' practices

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Gray, Kara E.; Webb, David C.; Otero, Valerie K.

2012-02-01

The Colorado Learning Assistant (LA) Program serves as a content-specific supplement to standard teacher preparation programs. In addition to transforming undergraduate STEM courses, it recruits and prepares math and science majors for teaching careers by involving university STEM faculty. The research reported here compares the teaching practices of in-service teachers who participated in the LA experience as undergraduates to a comparison group of teachers who did not participate in the LA program as undergraduates but were certified to teach through the same program. We report on teachers' views of assessments and differences in their teaching practices. This analysis is based on interviews with approximately 30 teachers and observations of their classrooms throughout their induction years of teaching. This work considers how the LA program may help improve current teacher preparation models.

Acceptance on Mobile Learning via SMS: A Rasch Model Analysis

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Issham Ismail

2010-04-01

Full Text Available This study investigated whether mobile learning via Short Message Service (SMS-learning is accepted by the students enrolled in the distance learning academic programme in the Universiti Sains Malaysia. This study explored the impact of perceived usefulness, perceived ease of use and usability of the system to their acceptability. The survey was constructed using a questionnaire consisting of statements regarding the participants’ demographics, experiences in and perception of using mobile learning via SMS, involving 105 students from management and sciences disciplines. The Rasch Model Analysis was used for measurement correspond to a 5 point Likert. Results indicated that the usability of the system contributed to be effectiveness in assisting the students with their study. Respondents agree that SMS-learning is easy, effective and useful to help them study. However, the results found that there has been a problem in mobile learning that less interaction with lecturers. It implies that the acceptability of students to this mode on communication and interaction is highly endorsed.

A Novel Approach to Medical Student Peer-assisted Learning Through Case-based Simulations.

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Jauregui, Joshua; Bright, Steven; Strote, Jared; Shandro, Jamie

2018-01-01

Peer-assisted learning (PAL) is the development of new knowledge and skills through active learning support from peers. Benefits of PAL include introduction of teaching skills for students, creation of a safe learning environment, and efficient use of faculty time. We present a novel approach to PAL in an emergency medicine (EM) clerkship curriculum using an inexpensive, tablet-based app for students to cooperatively present and perform low-fidelity, case-based simulations that promotes accountability for student learning, fosters teaching skills, and economizes faculty presence. We developed five clinical cases in the style of EM oral boards. Fourth-year medical students were each assigned a unique case one week in advance. Students also received an instructional document and a video example detailing how to lead a case. During the 90-minute session, students were placed in small groups of 3-5 students and rotated between facilitating their assigned cases and participating as a team for the cases presented by their fellow students. Cases were supplemented with a half-mannequin that can be intubated, airway supplies, and a tablet-based app (SimMon, $22.99) to remotely display and update vital signs. One faculty member rotated among groups to provide additional assistance and clarification. Three EM faculty members iteratively developed a survey, based on the literature and pilot tested it with fourth-year medical students, to evaluate the course. 135 medical students completed the course and course evaluation survey. Learner satisfaction was high with an overall score of 4.6 on a 5-point Likert scale. In written comments, students reported that small groups with minimal faculty involvement provided a safe learning environment and a unique opportunity to lead a group of peers. They felt that PAL was more effective than traditional simulations for learning. Faculty reported that students remained engaged and required minimal oversight. Unlike other simulations, our

Are Learning Assistants Better K-12 Science Teachers?

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Gray, Kara E.; Webb, David C.; Otero, Valerie K.

2010-10-01

This study investigates how the undergraduate Learning Assistant (LA) experience affects teachers' first year of teaching. The LA Program provides interested science majors with the opportunity to explore teaching through weekly teaching responsibilities, an introduction to physics education research, and a learning community within the university. Some of these LAs are recruited to secondary science teacher certification programs. We hypothesized that the LA experience would enhance the teaching practices of the LAs who ultimately become teachers. To test this hypothesis, LAs were compared to a matched sample of teachers who completed the same teacher certification program as the LAs but did not have the LA "treatment." LAs and "non-LAs" were compared through interviews, classroom observations, artifact packages, and observations made with Reformed Teacher Observation Protocol (RTOP) collected within the first year of teaching. Some differences were found; these findings and their implications are discussed.

Information-Processing Correlates of Computer-Assisted Word Learning by Mentally Retarded Students.

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Conners, Frances A.; Detterman, Douglas K.

1987-01-01

Nineteen moderately/severely retarded students (ages 9-22) completed ten 15-minute computer-assisted instruction sessions and seven basic cognitive tasks measuring simple learning, choice reaction time, relearning, probed recall, stimulus discrimination, tachictoscopic threshold, and recognition memory. Stimulus discrimination, probed recall, and…

Surveying and Modeling Students' Motivation and Learning Strategies for Mobile-Assisted Seamless Chinese Language Learning

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Chai, Ching Sing; Wong, Lung-Hsiang; King, Ronnel B.

2016-01-01

Seamless language learning promises to be an effective learning approach that addresses the limitations of classroom-only language learning. It leverages mobile technologies to facilitate holistic and perpetual learning experiences that bridge different locations, times, technologies or social settings. Despite the emergence of studies on seamless…

Computer-Assisted English Learning System Based on Free Conversation by Topic

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Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil

2017-01-01

This paper aims to describe a computer-assisted English learning system using chatbots and dialogue systems, which allow free conversation outside the topic without limiting the learner's flow of conversation. The evaluation was conducted by 20 experimenters. The performance of the system based on a free conversation by topic was measured by the…

Towards the Development of an Automated Learning Assistant for Vector Calculus: Integration over Planar Regions

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Yaacob, Yuzita; Wester, Michael; Steinberg, Stanly

2010-01-01

This paper presents a prototype of a computer learning assistant ILMEV (Interactive Learning-Mathematica Enhanced Vector calculus) package with the purpose of helping students to understand the theory and applications of integration in vector calculus. The main problem for students using Mathematica is to convert a textbook description of a…

Animal-Assisted Literacy: A Supportive Environment for Constrained and Unconstrained Learning

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Friesen, Lori; Delisle, Esther

2012-01-01

Over the last 20 years or so, the popularity of animal-assisted literacy learning programs has gained momentum in schools and libraries around the world (Intermountain Therapy Animals, 2011). To date, such programs are currently running in four Canadian provinces and 43 U.S. states, as well as in Australia, the United Kingdom, Italy, and India…

Training the Foot Soldiers of Inquiry: Development and Evaluation of a Graduate Teaching Assistant Learning Community

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Linenberger, Kimberly; Slade, Michael C.; Addis, Elizabeth A.; Elliott, Emily R.; Mynhardt, Glené; Raker, Jeffrey R.

2014-01-01

As part of a Howard Hughes Program for Innovation in Science Education grant at Iowa State University, a series of interdisciplinary graduate teaching assistant learning communities (TALC) were developed. The purpose of these communities was to create an environment to facilitate teaching assistants' pedagogical development and training to enhance…

Learning Design for Sustainable Educational and Professional Development

DEFF Research Database (Denmark)

Godsk, Mikkel; Bjælde, Ole Eggers; Caspersen, Michael E.

2015-01-01

This poster presents the impact of two learning design initiatives at Faculty of Science and Technology, Aarhus University: the professional development module ‘Digital Learning Design’ (DiLD) for assistant professors and postdocs, and the STREAM learning design model for enhancing and transformi...... modules. Both DiLD and the STREAM model have proven to be effective for encouraging educators across all career steps to embrace the potential of educational technology in science higher education and for improving teaching and learning.......This poster presents the impact of two learning design initiatives at Faculty of Science and Technology, Aarhus University: the professional development module ‘Digital Learning Design’ (DiLD) for assistant professors and postdocs, and the STREAM learning design model for enhancing and transforming...

LEARNING STRATEGY IMPLEMENTATION OF GENERATIVE LEARNING ASSISTED SCIENTIST’S CARD TO IMPROVE SELF EFFICACY OF JUNIOR HIGH SCHOOL STUDENT IN CLASS VIII

Directory of Open Access Journals (Sweden)

R. Yuliarti

2016-01-01

Full Text Available In general, self-efficacy of the students is still low. This study aims to determine the learning strategies implementation of generative learning assisted scientist's card in improving self-efficacy and cognitive learning outcomes of the students. The study designed form One Group Pretest-Posttest Design. The improvement of self-efficacy can be determined from the change in the questionnaire score before and after the learning and observations during the learning process. Cognitive learning outcomes are known from pretest and posttest scores. To determine the improvement, the data were analyzed by using the gain test. The results showed that N-gain of self-efficacy is 0.13 (low and N-gain of cognitive learning is 0.60 (medium. Based on the observation, students’ self-efficacy has increased each meeting. Cognitive learning results also achieved mastery learning as big as 72.88%. It could be concluded that the learning strategy of generative learning assisted scientist's card can improve self efficacy and cognitive learning outcomes of the students.Pada umumnya, self efficacy yang dimiliki siswa masih rendah. Penelitian ini bertujuan untuk mengetahui penerapan strategi pembelajaran generative learning berbantuan scientist’s card dalam meningkatkan self efficacy dan  hasil belajar  kognitif siswa.  Desain penelitian berbentuk One Group Pretest-Posttest Design. Peningkatan self efficacy dapat diketahui dari perubahan  skor angket sebelum dan sesudah pembelajaran dan hasil observasi selama pembelajaran. Hasil  belajar kognitif diketahui dari skor pretest dan posttest. Untuk mengetahui peningkatannya, data yang diperoleh dianalisis menggunakan uji gain. Hasil penelitian menunjukkan bahwa peningkatan self efficacy berkatagori rendah dan peningkatan hasil belajar kognitif berkatagori sedang. Berdasarkan hasil observasi, self efficacy siswa setiap pertemuan meningkat. Hasil belajar ranah kognitif juga mencapai ketuntasan belajar .Jadi dapat

Applying Augmented Reality to a Mobile-Assisted Learning System for Martial Arts Using Kinect Motion Capture

Science.gov (United States)

Hsu, Wen-Chun; Shih, Ju-Ling

2016-01-01

In this study, to learn the routine of Tantui, a branch of martial arts was taken as an object of research. Fitts' stages of motor learning and augmented reality (AR) were applied to a 3D mobile-assisted learning system for martial arts, which was characterized by free viewing angles. With the new system, learners could rotate the viewing angle of…

DESIGNING AND BUILDING EXERCISE MODEL OF TECHNICAL ENGLISH VOCABULARIES USING CALL (COMPUTER ASSISTED LANGUAGE LEARNING

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Yogi Widiawati

2017-11-01

Full Text Available The research is aimed to assist and facilitate the students of Electrical and Electronics Department of Politeknik Negeri Jakarta (State Polytechnics of Jakarta, Indonesia, in learning technical English vocabulary. As technical students, they study ESP (English for Specific Purposes and they find some obstacles in memorizing technical vocabularies which are very important in order to read and understand manual books for laboratory and workshop. Some English technical vocabularies among others are “generate”, “pile”, “bench”, et cetera. The research outcome is software which will be beneficial for technical students, especially electrical and electronics students. This software can be used to practice their vocabulary skills, so they will be more skillful and knowledgeable. This software is designed by using the program of Rapid E-Learning Suite Version 5.2 and Flash CS3. The software practice contains some exercises on reading text and reading comprehension questions and presented with the multiple answers. This software is handy and flexible because students can bring it anywhere and be studied anytime. It is handy because this software is put and saved in CD (compact disc, so the students can take it with them anywhere and anytime they want to learn. In other words, they have flexibility to learn and practice English Technical Vocabularies. As a result, the students are found one of the ways to overcome their problems of memorizing vocabularies. The product is a kind of software which is easily used and portable so that the students can use the software anywhere and anytime. It consists of 3 (three sections of exercises. At the end of each exercise, the students are evaluated automatically by looking at the scoring system. These will encourage them to get good score by repeating it again and again. So the technical words are not problem for them. Furthermore, the students can practice technical English vocabulary both at home and

Extending Peer-Assisted Learning Strategies for Racially, Linguistically, and Ability Diverse Learners

Science.gov (United States)

Thorius, Kathleen A. King; Santamaría Graff, Cristina

2018-01-01

This article discusses a research-based reading intervention called peer-assisted learning strategies in reading (PALS) and includes practical suggestions for educators concerned with literacy as a tool to reposition and empower students of color, English learners, and students with disabilities in schools and society. Following a rationale…

Strategies for Using Peer-Assisted Learning Effectively in an Undergraduate Bioinformatics Course

Science.gov (United States)

Shapiro, Casey; Ayon, Carlos; Moberg-Parker, Jordan; Levis-Fitzgerald, Marc; Sanders, Erin R.

2013-01-01

This study used a mixed methods approach to evaluate hybrid peer-assisted learning approaches incorporated into a bioinformatics tutorial for a genome annotation research project. Quantitative and qualitative data were collected from undergraduates who enrolled in a research-based laboratory course during two different academic terms at UCLA.…

The use of computer assisted technology to enhance student psychiatric nurses learning during a practice placement.

Science.gov (United States)

Denny, Margaret; Higgins, Agnes

2003-06-01

Despite the available literature that identifies the value of integrating computer-assisted learning into the curriculum, psychiatric nurse education lags behind in this area of curriculum development. The purpose of this paper is to report on a pilot project involving the use of a computer assisted learning (CAL) interactive multimedia (IMM) package called 'Admissions,' as a self-directed learning tool with two-second year psychiatric nursing students. The students were on a practice placement in an Irish mental health service. The aim of using the multimedia resource was to augment the students' learning during their practice placement and enable them to re-examine the issue of psychosis from a multiplicity of perspectives. This paper provides a brief description of the interactive multimedia package, together with a discussion on the support offered to the students during its use. experiential taxonomy is used as a framework to guide the discussion on the learning and evaluation process used. Feedback from the students suggests that the CAL package is easy to use, informative and promoted independence and self-directed study.

The role of peer assisted learning to improve the effectivity of clinical skill laboratory learning in dental education

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Agus Ardinansyah

2016-06-01

Full Text Available Nowadays, the clinical skill learning in dental education has begun in pre-clinic, known as Clinical Skill Laboratory (CSL which needs human resources, many and expensive tools and manikins, and enough times for practise. One of the method used in CSL in dental education is PeerAssisted Learning (PAL defined as “the development of knowledge and skill through active help and support among status equals or match companions”. This paper aims is to explain the role of PAL method to improve the effectivity of CSL learning in dental education in preclinical stage. Reviewing on the relevant literatures regarding peer assisted learning on the implementation of the clinical skill laboratory in dental education. The effectivity of CSL learning needs close supervision and individual feedback, so enough tutors is important through the process. This PAL method considered to be helpfull with the increasing numbers of dental students and the limitation of staff faculty. This method is found feasible, well accepted by peer-tutors and students, and can be as effective as conventional learning method. This is also useful for peer-teacher because they more intrinsically motivated, have higher conceptual learning scores, and perceive themselves to be more actively engaged with the environment than students who learn in order to be tested.  However, there are several limitation of this method. The contact time between students and medical doctors may decrease significantlyand it does not seem to be generally qualified to transfer such complex procedures.It also needs peer-teachers training and a detailed manual. Questions concerning the cost-effectiveness and profitability of student tutor-guided technical skills training may thus arise. But one institution that implemented this method states that the majority of their tutors decided to continue their teaching activity in the skills lab and that these experienced tutors, in addition to established faculty staff

A Model for Learning Over Time: The Big Picture

Science.gov (United States)

Amato, Herbert K.; Konin, Jeff G.; Brader, Holly

2002-01-01

Objective: To present a method of describing the concept of “learning over time” with respect to its implementation into an athletic training education program curriculum. Background: The formal process of learning over time has recently been introduced as a required way for athletic training educational competencies and clinical proficiencies to be delivered and mastered. Learning over time incorporates the documented cognitive, psychomotor, and affective skills associated with the acquisition, progression, and reflection of information. This method of academic preparation represents a move away from a quantitative-based learning module toward a proficiency-based mastery of learning. Little research or documentation can be found demonstrating either the specificity of this concept or suggestions for its application. Description: We present a model for learning over time that encompasses multiple indicators for assessment in a successive format. Based on a continuum approach, cognitive, psychomotor, and affective characteristics are assessed at different levels in classroom and clinical environments. Clinical proficiencies are a common set of entry-level skills that need to be integrated into the athletic training educational domains. Objective documentation is presented, including the skill breakdown of a task and a matrix to identify a timeline of competency and proficiency delivery. Clinical Advantages: The advantages of learning over time pertain to the integration of cognitive knowledge into clinical skill acquisition. Given the fact that learning over time has been implemented as a required concept for athletic training education programs, this model may serve to assist those program faculty who have not yet developed, or are in the process of developing, a method of administering this approach to learning. PMID:12937551

A Habermasian Analysis of a Process of Recognition of Prior Learning for Health Care Assistants

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Sandberg, Fredrik

2012-01-01

This article discusses a process of recognition of prior learning for accreditation of prior experiential learning to qualify for course credits used in an adult in-service education program for health care assistants at the upper-secondary level in Sweden. The data are based on interviews and observations drawn from a field study, and Habermas's…

Technology Assisted Language Learning is a silver bullet for enhancing Language competence and performance: A Case Study

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Jameel Ahmad

2016-11-01

Full Text Available Technology Assisted Language Learning (TALL is an infallible means to develop profound knowledge and wide range of language skills. It instills in EFL learners an illimitable passion for task-based and skills oriented learning rather than rote memorization. New technological gadgets have commoditized a broad-based learning and teaching avenues and brought the whole learning process to life. A vast variety of authentic online- learning resources, motivational visual prompts, exciting videos, web-based interactivity and customizable language software, email, discussion forums, Skype, Twitter, apps, Internet mobiles, Facebook and YouTube have become obtrusive tools to enhance competence and performance in EFL teaching and learning realms. Technology can also provide various types of scaffolding for students learning to read. Nevertheless, instructors can also enhance their pedagogical effectiveness. However, the main focus of interest in this study is to ascertain to what extent the modern technological devices augment learners’ competence and performance specifically in vocabulary learning, grammatical accuracy and listening/ speaking skills. The remarkable scores of empirical surveys conducted in the present study reveal that TALL does assist learners to improve listening / speaking skills, pronunciation, extensive vocabulary and grammatical accuracy. The findings also manifest that the hybridity, instantaneity and super-diversity of digital learning lay far-reaching impact on learners' motivation for learning and incredibly maneuver learners to immerse in the whole learning process.

Time and Effort Required by Persons with Spinal Cord Injury to Learn to Use a Powered Exoskeleton for Assisted Walking.

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Kozlowski, Allan J; Bryce, Thomas N; Dijkers, Marcel P

2015-01-01

Powered exoskeletons have been demonstrated as being safe for persons with spinal cord injury (SCI), but little is known about how users learn to manage these devices. To quantify the time and effort required by persons with SCI to learn to use an exoskeleton for assisted walking. A convenience sample was enrolled to learn to use the first-generation Ekso powered exoskeleton to walk. Participants were given up to 24 weekly sessions of instruction. Data were collected on assistance level, walking distance and speed, heart rate, perceived exertion, and adverse events. Time and effort was quantified by the number of sessions required for participants to stand up, walk for 30 minutes, and sit down, initially with minimal and subsequently with contact guard assistance. Of 22 enrolled participants, 9 screen-failed, and 7 had complete data. All of these 7 were men; 2 had tetraplegia and 5 had motor-complete injuries. Of these, 5 participants could stand, walk, and sit with contact guard or close supervision assistance, and 2 required minimal to moderate assistance. Walk times ranged from 28 to 94 minutes with average speeds ranging from 0.11 to 0.21 m/s. For all participants, heart rate changes and reported perceived exertion were consistent with light to moderate exercise. This study provides preliminary evidence that persons with neurological weakness due to SCI can learn to walk with little or no assistance and light to somewhat hard perceived exertion using a powered exoskeleton. Persons with different severities of injury, including those with motor complete C7 tetraplegia and motor incomplete C4 tetraplegia, may be able to learn to use this device.

Examination of Studies on Technology-Assisted Collaborative Learning Published between 2010-2014

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Arnavut, Ahmet; Özdamli, Fezile

2016-01-01

This study is a content analysis of the articles about technology-assisted collaborative learning published in Science Direct database between the years of 2010 and 2014. Developing technology has become a topic that we encounter in every aspect of our lives. Educators deal with the contribution and integration of technology into education.…

Equine-Assisted Learning in Youths At-Risk for School or Social Failure

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Ho, New Fei; Zhou, Jonathan; Fung, Daniel Shuen Sheng; Kua, Phek Hui Jade

2017-01-01

This study examined whether a three-month equine-assisted learning program improved measures of character skills in two independent cohorts of Year 1 youths, in a specialized secondary school for youths with difficulties coping with mainstream curriculum. In 2013, 75 students underwent intervention while 82 students did not. In 2014, 58 students…

A Peer-Assisted Learning Program and Its Effect on Student Skill Demonstration

Science.gov (United States)

Carr, W. David; Volberding, Jennifer; Vardiman, Phillip

2011-01-01

Objective: To explore the effect of an intentional Peer-Assisted Learning (PAL) program on peer-tutors and peer-tutees for performance on specific psychomotor skills. Design and Setting: Randomized, pretest-posttest experimental design. Participants: Undergraduate students (N = 69, 42 females and 27 males, all participants were 18 to 22 years old,…

ASIE Model: An Innovative Instructional Design Model for Teachers in Enhancing and Sustaining the Quality of the 21st Century Learning

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Ismail Md Zain

2017-04-01

Full Text Available An effective and systematic design of instruction will determine the quality of learning and teaching practices. Hence, instructional design models are required, to move from just adopting a standard approach to developing models that have an impact on learners' profiles, creating a much better learning experience, skills, and knowledge both in the classroom and online. The 21st Century Learning Framework requires learners to develop their thinking skills, communication skills, collaborating skills and enhancing their creativity, (4Cs towards establishing "globally competitive learners." An Integral ASIE Instructional Design Model is an innovative 21st Century teachers' designing tool that provides a solution to the above challenges. The Model assist teachers in Planning, Utilizing and Sharing (PLUS instructions with others across nations. It promotes the Professional Learning Community practices where educationist, stakeholders, parents, and corporates work collaboratively ensuring its quality and sustainability in addressing the future employability issues of the learners. Results from 5 Likert Scales Questionnaires given to teachers in workshops and pilot project conducted, shows positive views on the model.

Modelling hydrodynamic parameters to predict flow assisted corrosion

International Nuclear Information System (INIS)

Poulson, B.; Greenwell, B.; Chexal, B.; Horowitz, J.

1992-01-01

During the past 15 years, flow assisted corrosion has been a worldwide problem in the power generating industry. The phenomena is complex and depends on environment, material composition, and hydrodynamic factors. Recently, modeling of flow assisted corrosion has become a subject of great importance. A key part of this effort is modeling the hydrodynamic aspects of this issue. This paper examines which hydrodynamic parameter should be used to correlate the occurrence and rate of flow assisted corrosion with physically meaningful parameters, discusses ways of measuring the relevant hydrodynamic parameter, and describes how the hydrodynamic data is incorporated into the predictive model

Data-Driven Assistance Functions for Industrial Automation Systems

International Nuclear Information System (INIS)

Windmann, Stefan; Niggemann, Oliver

2015-01-01

The increasing amount of data in industrial automation systems overburdens the user in process control and diagnosis tasks. One possibility to cope with these challenges consists of using smart assistance systems that automatically monitor and optimize processes. This article deals with aspects of data-driven assistance systems such as assistance functions, process models and data acquisition. The paper describes novel approaches for self-diagnosis and self-optimization, and shows how these assistance functions can be integrated in different industrial environments. The considered assistance functions are based on process models that are automatically learned from process data. Fault detection and isolation is based on the comparison of observations of the real system with predictions obtained by application of the process models. The process models are further employed for energy efficiency optimization of industrial processes. Experimental results are presented for fault detection and energy efficiency optimization of a drive system. (paper)

‘ELENA goes mobile’: a mobile assisted early language learning pilot for familiarizing children with neighbouring languages

NARCIS (Netherlands)

Rusman, Ellen; Ternier, Stefaan; Sassen, Derk

2013-01-01

Rusman, E., Ternier, S., & Sassen, D. (2013). ‘ELENA goes mobile’: a mobile assisted early language learning pilot for familiarizing children with neighbouring languages. In Pixel (Ed.), Proceedings of ICT for Language Learning, Conference Proceedings 2013, 6th Conference edition (pp. xx-xx).

'ELENA goes mobile': a mobile assisted early foreign language learning pilot for familiarizing children with neighbouring languages

NARCIS (Netherlands)

Rusman, Ellen; Ternier, Stefaan; Sassen, Derk

2013-01-01

Rusman, E., Ternier, S., & Sassen, D. (2013, 14-15 November). 'ELENA goes mobile': a mobile assisted early foreign language learning pilot for familiarizing children with neighbouring languages. Presentation (virtual) at the 6th ICT for Language learning Conference, Florence, Italy. (URL of virtual

The Scope of Assistive Technology in Learning Process of Students with Blindness

Science.gov (United States)

Saleem, Saira; Sajjad, Shahida

2016-01-01

This study was carried out to investigate the scope of assistive technology in learning process of students with blindness. The sample of this study included 56 students with blindness between the ages of 11-22 years from secondary level of education. These students were selected through convenient sampling from five special schools located in…

Mathematical Modeling and Computational Thinking

Science.gov (United States)

Sanford, John F.; Naidu, Jaideep T.

2017-01-01

The paper argues that mathematical modeling is the essence of computational thinking. Learning a computer language is a valuable assistance in learning logical thinking but of less assistance when learning problem-solving skills. The paper is third in a series and presents some examples of mathematical modeling using spreadsheets at an advanced…

Impact of Mobile Assisted Language Learning (MALL) on EFL: A Meta-Analysis

Science.gov (United States)

Taj, Imtiaz Hassan; Sulan, Norrihan Binti; Sipra, Muhammad Aslam; Ahmad, Waqar

2016-01-01

Mobile Assisted Language Learning (MALL) has emerged as a potential tool in the instruction of English as a foreign language (EFL). Meta-analysis of 13 studies published between year 2008 and 2015 was conducted. Four point criteria for the selection of studies for analysis is based on the year of publication, quasi-experimental design, pretest and…

Horses for Courses: Exploring the Limits of Leadership Development through Equine-Assisted Learning

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Kelly, Simon

2014-01-01

This article draws on insights taken from Lacanian psychoanalysis to rethink and resituate notions of the self and subjectivity within the theory and practice of experiential leadership development. Adopting an autoethnographic approach, it describes the author's own experience as a participant in a program of equine-assisted learning or…

Becoming Physics People: Development of Integrated Physics Identity through the Learning Assistant Experience

Science.gov (United States)

Close, Eleanor W.; Conn, Jessica; Close, Hunter G.

2016-01-01

In this study, we analyze the experience of students in the Physics Learning Assistant (LA) program at Texas State University in terms of the existing theoretical frameworks of "community of practice" and "physics identity," and explore the implications suggested by these theories for LA program adoption and adaptation.…

Perceived Frequency of Peer-Assisted Learning in the Laboratory and Collegiate Clinical Settings

Science.gov (United States)

Henning, Jolene M.; Weidner, Thomas G.; Snyder, Melissa; Dudley, William N.

2012-01-01

Context: Peer-assisted learning (PAL) has been recommended as an educational strategy to improve students' skill acquisition and supplement the role of the clinical instructor (CI). How frequently students actually engage in PAL in different settings is unknown. Objective: To determine the perceived frequency of planned and unplanned PAL (peer modeling, peer feedback and assessment, peer mentoring) in different settings. Design: Cross-sectional study. Setting: Laboratory and collegiate clinical settings. Patients or Other Participants: A total of 933 students, 84 administrators, and 208 CIs representing 52 (15%) accredited athletic training education programs. Intervention(s): Three versions (student, CI, administrator) of the Athletic Training Peer Assisted Learning Survey (AT-PALS) were administered. Cronbach α values ranged from .80 to .90. Main Outcome Measure(s): Administrators' and CIs' perceived frequency of 3 PAL categories under 2 conditions (planned, unplanned) and in 2 settings (instructional laboratory, collegiate clinical). Self-reported frequency of students' engagement in 3 categories of PAL in 2 settings. Results: Administrators and CIs perceived that unplanned PAL (0.39 ± 0.22) occurred more frequently than planned PAL (0.29 ± 0.19) regardless of category or setting (F1,282 = 83.48, P < .001). They perceived that PAL occurred more frequently in the collegiate clinical (0.46 ± 0.22) than laboratory (0.21 ± 0.24) setting regardless of condition or category (F1,282 = 217.17, P < .001). Students reported engaging in PAL more frequently in the collegiate clinical (3.31 ± 0.56) than laboratory (3.26 ± 0.62) setting regardless of category (F1,860 = 13.40, P < .001). We found a main effect for category (F2,859 = 1318.02, P < .001), with students reporting they engaged in peer modeling (4.01 ± 0.60) more frequently than peer mentoring (2.99 ± 0.88) (P < .001) and peer assessment and feedback (2.86 ± 0.64) (P < .001). Conclusions: Participants

Attitudes of Jordanian Undergraduate Students towards Using Computer Assisted Language Learning (CALL

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Farah Jamal Abed Alrazeq Saeed

2018-01-01

Full Text Available The study aimed at investigating the attitudes of Jordanian undergraduate students towards using computer assisted -language learning (CALL and its effectiveness in the process of learning the English language.  In order to fulfill the study’s objective, the researchers used a questionnaire to collect data, followed-up with semi-structured interviews to investigate the students’ beliefs towards CALL. Twenty- one of Jordanian BA students majoring in English language and literature were selected according to simple random sampling. The results revealed positive attitudes towards CALL in facilitating the process of writing assignments, gaining information; making learning enjoyable; improving their creativity, productivity, academic achievement, critical thinking skills, and enhancing their knowledge about vocabulary grammar, and culture. Furthermore, they believed that computers can motivate them to learn English language and help them to communicate and interact with their teachers and colleagues. The researchers recommended conducting a research on the same topic, taking into consideration the variables of age, gender, experience in using computers, and computer skills.

Toward Transformative Learning: An Inquiry into the Work and Subsequent Learning Experiences of Individuals Who Assisted Hurricane Katrina Evacuees

Science.gov (United States)

Ficks, David B., II.

2010-01-01

The purpose of this multi-case study was to examine in depth the personal and learning experiences of helping professionals and volunteer helpers when challenged to assist adult Hurricane Katrina evacuees and victims in the aftermath of the disaster. The study contributes theoretically, practically and substantively to the adult education field.…

A STUDENT MODEL AND LEARNING ALGORITHM FOR THE EXPERT TUTORING SYSTEM OF POLISH GRAMMAR

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Kostikov Mykola

2014-11-01

Full Text Available When creating computer-assisted language learning software, it is necessary to use the potential of information technology in controlling the learning process fully. Modern intelligent tutoring systems help to make this process adaptive and personalized thanks to modeling the domain and students’ knowledge. The aim of the paper is to investigate possibilities for applying these methods in teaching Polish grammar in Ukraine taking into account its specifics. The article is concerned with the approaches of using student models in modern intelligent tutoring systems in order to provide personalized learning. A structure of the student model and a general working algorithm of the expert tutoring system of Polish grammar have been developed. The modeling of knowing and forgetting particular learning elements within the probabilistic (stochastic model has been studied, as well as the prognostication of future probabilities of students’ knowledge, taking into account their individual forgetting rates. The objective function of instruction quality with allowance for frequency of grammar rules within a certain amount of words being learned and their connections to another rules has been formulated. The problem of generating the next learning step taking into account the need for mastering previous, connected rules has been studied, as well as determining the optimal time period between the lessons depending on the current knowledge level.

'ELENA goes mobile': a mobile assisted early foreign language learning pilot for familiarizing children with neighbouring languages

OpenAIRE

Rusman, Ellen; Ternier, Stefaan; Sassen, Derk

2013-01-01

Rusman, E., Ternier, S., & Sassen, D. (2013, 14-15 November). 'ELENA goes mobile': a mobile assisted early foreign language learning pilot for familiarizing children with neighbouring languages. Presentation (virtual) at the 6th ICT for Language learning Conference, Florence, Italy. (URL of virtual presentation, including audio, will follow).

Learning from avatars: Learning assistants practice physics pedagogy in a classroom simulator

Science.gov (United States)

Chini, Jacquelyn J.; Straub, Carrie L.; Thomas, Kevin H.

2016-06-01

[This paper is part of the Focused Collection on Preparing and Supporting University Physics Educators.] Undergraduate students are increasingly being used to support course transformations that incorporate research-based instructional strategies. While such students are typically selected based on strong content knowledge and possible interest in teaching, they often do not have previous pedagogical training. The current training models make use of real students or classmates role playing as students as the test subjects. We present a new environment for facilitating the practice of physics pedagogy skills, a highly immersive mixed-reality classroom simulator, and assess its effectiveness for undergraduate physics learning assistants (LAs). LAs prepared, taught, and reflected on a lesson about motion graphs for five highly interactive computer generated student avatars in the mixed-reality classroom simulator. To assess the effectiveness of the simulator for this population, we analyzed the pedagogical skills LAs intended to practice and exhibited during their lessons and explored LAs' descriptions of their experiences with the simulator. Our results indicate that the classroom simulator created a safe, effective environment for LAs to practice a variety of skills, such as questioning styles and wait time. Additionally, our analysis revealed areas for improvement in our preparation of LAs and use of the simulator. We conclude with a summary of research questions this environment could facilitate.

The Effectiveness of Using Contextual Clues, Dictionary Strategy and Computer Assisted Language Learning (Call In Learning Vocabulary

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Zuraina Ali

2013-07-01

Full Text Available This study investigates the effectiveness of three vocabulary learning methods that are Contextual Clues, Dictionary Strategy, and Computer Assisted Language Learning (CALL in learning vocabulary among ESL learners. First, it aims at finding which of the vocabulary learning methods namely Dictionary Strategy, Contextual Clues, and CALL that may result in the highest number of words learnt in the immediate and delayed recall tests. Second, it compares the results of the Pre-test and the Delayed Recall Post-test to determine the differences of learning vocabulary using the methods. A quasi-experiment that tested the effectiveness of learning vocabulary using Dictionary Strategy, Contextual clues, and CALL involved 123 first year university students. Qualitative procedures included the collection of data from interviews which were conducted to triangulate the data obtain from the quantitative inquiries. Findings from the study using ANOVA revealed that there were significant differences when students were exposed to Dictionary Strategy, Contextual Clues and CALL in the immediate recall tests but not in the Delayed Recall Post-test. Also, there were significant differences when t test was used to compare the scores between the Pre-test and the Delayed Recall Post-test in using the three methods of vocabulary learning. Although many researchers have advocated the relative effectiveness of Dictionary Strategy, Contextual Clues, and CALL in learning vocabulary, the study however, is still paramount since there is no study has ever empirically investigated the relative efficacy of these three methods in a single study.

Learning Together: The Instinct to Do Good and Peer-Assisted Strategies That Work

Science.gov (United States)

Jellison, Judith A.; Draper, Ellary A.; Brown, Laura S.

2017-01-01

Children have a natural proclivity to teach, help, cooperate, and empathize with others, and these interactions can have positive benefits for children's emotional, social, and cognitive development. This article is about ways music teachers can design peer-assisted music learning activities that will benefit everyone in the class and ultimately…

Learning with hierarchical-deep models.

Science.gov (United States)

Salakhutdinov, Ruslan; Tenenbaum, Joshua B; Torralba, Antonio

2013-08-01

We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian (HB) models. Specifically, we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level features in a deep Boltzmann machine (DBM). This compound HDP-DBM model learns to learn novel concepts from very few training example by learning low-level generic features, high-level features that capture correlations among low-level features, and a category hierarchy for sharing priors over the high-level features that are typical of different kinds of concepts. We present efficient learning and inference algorithms for the HDP-DBM model and show that it is able to learn new concepts from very few examples on CIFAR-100 object recognition, handwritten character recognition, and human motion capture datasets.

Model-based machine learning.

Science.gov (United States)

Bishop, Christopher M

2013-02-13

Several decades of research in the field of machine learning have resulted in a multitude of different algorithms for solving a broad range of problems. To tackle a new application, a researcher typically tries to map their problem onto one of these existing methods, often influenced by their familiarity with specific algorithms and by the availability of corresponding software implementations. In this study, we describe an alternative methodology for applying machine learning, in which a bespoke solution is formulated for each new application. The solution is expressed through a compact modelling language, and the corresponding custom machine learning code is then generated automatically. This model-based approach offers several major advantages, including the opportunity to create highly tailored models for specific scenarios, as well as rapid prototyping and comparison of a range of alternative models. Furthermore, newcomers to the field of machine learning do not have to learn about the huge range of traditional methods, but instead can focus their attention on understanding a single modelling environment. In this study, we show how probabilistic graphical models, coupled with efficient inference algorithms, provide a very flexible foundation for model-based machine learning, and we outline a large-scale commercial application of this framework involving tens of millions of users. We also describe the concept of probabilistic programming as a powerful software environment for model-based machine learning, and we discuss a specific probabilistic programming language called Infer.NET, which has been widely used in practical applications.

Listening Strategy Use and Influential Factors in Web-Based Computer Assisted Language Learning

Science.gov (United States)

Chen, L.; Zhang, R.; Liu, C.

2014-01-01

This study investigates second and foreign language (L2) learners' listening strategy use and factors that influence their strategy use in a Web-based computer assisted language learning (CALL) system. A strategy inventory, a factor questionnaire and a standardized listening test were used to collect data from a group of 82 Chinese students…

Mobile-assisted language learning community and culture in French-speaking Belgium: the teachers' perspective

OpenAIRE

Van de Vyver, Julie; Eurocall

2016-01-01

This paper focuses on the perceptions and uses of mobile technologies by 118 Belgian teachers in foreign language teaching and learning in secondary education. The purpose of the study is to analyze the teachers’ attitudes towards the use of mobile technologies in- and outside the classroom via an online questionnaire. The preliminary findings presented in this paper establish that the concept of a ‘Mobile-Assisted Language Learning (MALL) community’ does not yet exist in our context as the u...

ASSESSMENT OF KNOWLEDGE AND ATTITUDE OF COMPUTER ASSISTED LEARNING AMONG MEDICAL STUDENTS

Directory of Open Access Journals (Sweden)

Ravish

2015-12-01

Full Text Available INTRODUCTION: It is going truth globally that the medical course in medical college students are developed via computer mediated learning.1 Utilization of both the range upon online messages options must create study exciting, monetization, and likely as hired. We Hypothesized that survey will facilitate to permit us to be able to blueprint some on this necessary condition among my medical students and also to improve our study facilities a lot of automatically. A set of closed ended problems remained displayed on departmental website, to evaluate their computer skills and talents and their own assessment in computer and internet skills helping in learning. In the beginning months of 1st year MBBS college students 2014-15 batch taken up voluntarily to the study through MCQs questions provided to them in the form of departmental website. A batch of 50 college students surveyed on 3 different days. Although 80% students were confident with the operational skills of the computer, the opinion regarding the usage of computers for web based learning activities was not uniform i.e., 55% of the participants felt uncomfortable with web assisted activity in comparison to paper based activity. However, 49% were of the opinion that paper based activity might become redundant and websites will take over books in the future. Expansion on computer-assisted study requires traditional changes as well as thoughtful strategic planning, resource giving, staff benefits, Edutainment promotion by multidisciplinary working, and efficient quality control.

Drive Control Scheme of Electric Power Assisted Wheelchair Based on Neural Network Learning of Human Wheelchair Operation Characteristics

Science.gov (United States)

Tanohata, Naoki; Seki, Hirokazu

This paper describes a novel drive control scheme of electric power assisted wheelchairs based on neural network learning of human wheelchair operation characteristics. “Electric power assisted wheelchair” which enhances the drive force of the operator by employing electric motors is expected to be widely used as a mobility support system for elderly and disabled people. However, some handicapped people with paralysis of the muscles of one side of the body cannot maneuver the wheelchair as desired because of the difference in the right and left input force. Therefore, this study proposes a neural network learning system of such human wheelchair operation characteristics and a drive control scheme with variable distribution and assistance ratios. Some driving experiments will be performed to confirm the effectiveness of the proposed control system.

Experiences of undergraduate nursing students in peer assisted learning in clinical practice: a qualitative systematic review.

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Carey, Matthew C; Kent, Bridie; Latour, Jos M

2018-05-01

methodological quality independently by two reviewers, using the Joanna Briggs Institute Critical Appraisal Form for Interpretive and Critical Research. Qualitative data was extracted using the standardized JBI qualitative data extraction tool. Qualitative research findings were synthesized using JBI methodology. From the eight included studies, 37 findings were extracted. These findings were further aggregated into seven categories, and then into three synthesized findings. These three synthesized findings are: 1) Challenges of clinical practice are mitigated by peer support; 2) Peers are role models for enhancing clinical knowledge; and 3) Support and feedback develop competence and confidence, and reduce stress and anxiety. Peer-assisted learning exists in clinical practice in both formal and informal circumstances. Friendship and community are often expressed as occurring when peers work together. Support and feedback help students develop in their clinical role and enhance clinical knowledge. Outcomes include enhancing the competency and confidence of peers, and reducing stress and anxiety. Challenges of clinical practice are mitigated through PAL.

‘ELENA goes mobile’: a mobile assisted early language learning pilot for familiarizing children with neighbouring languages

OpenAIRE

Rusman, Ellen; Ternier, Stefaan; Sassen, Derk

2013-01-01

Rusman, E., Ternier, S., & Sassen, D. (2013). ‘ELENA goes mobile’: a mobile assisted early language learning pilot for familiarizing children with neighbouring languages. In Pixel (Ed.), Proceedings of ICT for Language Learning, Conference Proceedings 2013, 6th Conference edition (pp. xx-xx). November, 14-15, 2013, Florence, Italy: Libreriauniversitaria.it Edizioni.

Academic Libraries and Learning Support in Collaboration. Library Based Guidance for Peer Assisted Learning Leaders at Bournemouth University: Theory and Practice.

OpenAIRE

Parton, Steve; Fleming, Hugh

2008-01-01

This article begins with an overview of the University’s pioneering Peer Assisted Learning Scheme (PAL) and describes how in 2005/6, the Library became involved, collaborating with the PAL Coordinator to develop materials for use by PAL Leaders. PAL is intended to foster cross-year support between students on the same course. It encourages students to support each other and learn co-operatively under the guidance of trained students from the year above - called PAL Leaders. Two documents were...

Using Intelligent Personal Assistants for Second Language Learning: A Case Study of Alexa

Science.gov (United States)

Dizon, Gilbert

2017-01-01

The proliferation of smartphones has given rise to intelligent personal assistants (IPAs), software that helps users accomplish day-to-day tasks. However, little is known about IPAs in the context of second language (L2) learning. Therefore, the primary objectives of this case study were twofold: to assess the ability of Amazon's IPA, Alexa, to…

Computer assisted active learning system development for critical thinking in history of civilization

Directory of Open Access Journals (Sweden)

Adem Karahoca

2010-03-01

Full Text Available This study investigates a Computer Assisted Learning System (CALS according to the several factors that promote flow wherestudents are fully involved into the learning activities for history of civilization lessons. The designed CALS supported bymeta – cognitive (cognitive maps and multimedia tools (movies, flash cards and quiz applications that help students to reacha flow state in learning by actively by engaging students’ critical thinking and providing an environment for active participation.The research data was collected using focus group surveys from a randomly selected 54 students enrolled in history ofcivilization at Bahcesehir University in Istanbul, Turkey. Results showed that 53.7% of students can be in flow via implementedCALS. Also according to the results, the flow has significant predictors in the course enjoyment, perceived competence ofcourse, value–usefulness and the challenge–learning style match according to nature of course in such a CALS.

A MOBILE-DEVICE-SUPPORTED PEER-ASSISTED LEARNING SYSTEM FOR COLLABORATIVE EARLY EFL READING

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Yu-Ju Lan

2007-02-01

Full Text Available Collaborative learning methods which emphasize peer interaction have been widely applied to increase the intensity and effectiveness of EFL reading programs. However, simply grouping students heterogeneously and assigning them group goals does not guarantee that effective collaborative learning will ensue. The present research includes two studies. In Study One, the weaknesses of collaborative learning in a traditional EFL setting were observed. Then, in Study Two, a mobile-device-supported peer-assisted learning (MPAL system was developed for the purpose of addressing the identified weaknesses. Two classes of twenty-six third grade students participated in the present research to examine the unique contribution of MPAL to collaborative EFL reading activities. The collaborative behavior of elementary EFL learners was videotaped and analyzed. Detailed analysis of the videotaped behavior indicated that MPAL helped improve collaboration in elementary school level EFL learners and promotes their reading motivation.

Learning versus correct models: influence of model type on the learning of a free-weight squat lift.

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McCullagh, P; Meyer, K N

1997-03-01

It has been assumed that demonstrating the correct movement is the best way to impart task-relevant information. However, empirical verification with simple laboratory skills has shown that using a learning model (showing an individual in the process of acquiring the skill to be learned) may accelerate skill acquisition and increase retention more than using a correct model. The purpose of the present study was to compare the effectiveness of viewing correct versus learning models on the acquisition of a sport skill (free-weight squat lift). Forty female participants were assigned to four learning conditions: physical practice receiving feedback, learning model with model feedback, correct model with model feedback, and learning model without model feedback. Results indicated that viewing either a correct or learning model was equally effective in learning correct form in the squat lift.

Modeling Learner Situation Awareness in Collaborative Mobile Web 2.0 Learning

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Norman, Helmi; Nordin, Norazah; Din, Rosseni; Ally, Mohamed

2016-01-01

The concept of situation awareness is essential in enhancing collaborative learning. Learners require information from different awareness aspects to deduce a learning situation for decision-making. Designing learning environments that assist learners to understand situation awareness via monitoring actions and reaction of other learners has been…

The learning curve of robot-assisted laparoscopic aortofemoral bypass grafting for aortoiliac occlusive disease.

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Novotný, Tomáš; Dvorák, Martin; Staffa, Robert

2011-02-01

Since the end of the 20th century, robot-assisted surgery has been finding its role among other minimally invasive methods. Vascular surgery seems to be another specialty in which the benefits of this technology can be expected. Our objective was to assess the learning curve of robot-assisted laparoscopic aortofemoral bypass grafting for aortoiliac occlusive disease in a group of 40 patients. Between May 2006 and January 2010, 40 patients (32 men, 8 women), who were a median age of 58 years (range, 48-75 years), underwent 40 robot-assisted laparoscopic aortofemoral reconstructions. Learning curve estimations were used for anastomosis, clamping, and operative time assessment. For conversion rate evaluation, the cumulative summation (CUSUM) technique was used. Statistical analysis comparing the first and second half of our group, and unilateral-to-bilateral reconstructions were performed. We created 21 aortofemoral and 19 aortobifemoral bypasses. The median proximal anastomosis time was 23 minutes (range, 18-50 minutes), median clamping time was 60 minutes (range, 40-95 minutes), and median operative time was 295 minutes (range, 180-475 minutes). The 30-day mortality rate was 0%, and no graft or wound infection or cardiopulmonary or hepatorenal complications were observed. During the median 18-month follow-up (range, 2-48 months), three early graft occlusions occurred (7%). After reoperations, the secondary patency of reconstructions was 100%. Data showed a typical short learning curve for robotic proximal anastomosis creation with anastomosis and clamping time reduction. The operative time learning curve was flat, confirming the procedure's complexity. There were two conversions to open surgery. CUSUM analysis confirmed that an acceptable conversion rate set at 5% was achieved. Comparing the first and second half of our group, all recorded times showed statistically significant improvements. Differences between unilateral and bilateral reconstructions were not

The Impact of Utilising Mobile Assisted Language Learning (MALL on Vocabulary Acquisition among Migrant Women English Learners

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Kham Sila Ahmad

2017-04-01

Full Text Available Aim/Purpose: To develop a framework for utilizing Mobile Assisted Language Learning (MALL to assist non-native English migrant women to acquire English vocabulary in a non-formal learning setting. Background: The women in this study migrated to Australia with varied backgrounds including voluntary or forced migration, very low to high levels of their first language (L1, low proficiency in English, and isolated fulltime stay-at-home mothers. Methodology: A case study method using semi-structured interviews and observations was used. Six migrant women learners attended a minimum of five non-MALL sessions and three participants continued on and attended a minimum of five MALL sessions. Participants were interviewed pre- and post-sessions. Data were analysed thematically. Contribution: The MALL framework is capable of enriching migrant women’s learning experience and vocabulary acquisition. Findings: Vocabulary acquisition occurred in women from both non-MALL and MALL environment; however, the MALL environment provided significantly enriched vocabulary learning experience. Future Research: A standardised approach to measure the effectiveness of MALL for vocabulary acquisition among migrant women in non-formal setting

Computer-assisted liver graft steatosis assessment via learning-based texture analysis.

Science.gov (United States)

Moccia, Sara; Mattos, Leonardo S; Patrini, Ilaria; Ruperti, Michela; Poté, Nicolas; Dondero, Federica; Cauchy, François; Sepulveda, Ailton; Soubrane, Olivier; De Momi, Elena; Diaspro, Alberto; Cesaretti, Manuela

2018-05-23

Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowering liver dysfunction risks after transplantation. Histopathological analysis of biopsied liver is the gold standard for assessing HS, despite being invasive and time consuming. Due to the short time availability between liver procurement and transplantation, surgeons perform HS assessment through clinical evaluation (medical history, blood tests) and liver texture visual analysis. Despite visual analysis being recognized as challenging in the clinical literature, few efforts have been invested to develop computer-assisted solutions for HS assessment. The objective of this paper is to investigate the automatic analysis of liver texture with machine learning algorithms to automate the HS assessment process and offer support for the surgeon decision process. Forty RGB images of forty different donors were analyzed. The images were captured with an RGB smartphone camera in the operating room (OR). Twenty images refer to livers that were accepted and 20 to discarded livers. Fifteen randomly selected liver patches were extracted from each image. Patch size was [Formula: see text]. This way, a balanced dataset of 600 patches was obtained. Intensity-based features (INT), histogram of local binary pattern ([Formula: see text]), and gray-level co-occurrence matrix ([Formula: see text]) were investigated. Blood-sample features (Blo) were included in the analysis, too. Supervised and semisupervised learning approaches were investigated for feature classification. The leave-one-patient-out cross-validation was performed to estimate the classification performance. With the best-performing feature set ([Formula: see text]) and semisupervised learning, the achieved classification sensitivity, specificity, and accuracy were 95, 81, and 88%, respectively. This research represents the first attempt to use machine learning and automatic texture analysis of RGB images from ubiquitous smartphone

Learning to Act: Qualitative Learning of Deterministic Action Models

DEFF Research Database (Denmark)

Bolander, Thomas; Gierasimczuk, Nina

2017-01-01

In this article we study learnability of fully observable, universally applicable action models of dynamic epistemic logic. We introduce a framework for actions seen as sets of transitions between propositional states and we relate them to their dynamic epistemic logic representations as action...... in the limit (inconclusive convergence to the right action model). We show that deterministic actions are finitely identifiable, while arbitrary (non-deterministic) actions require more learning power—they are identifiable in the limit. We then move on to a particular learning method, i.e. learning via update......, which proceeds via restriction of a space of events within a learning-specific action model. We show how this method can be adapted to learn conditional and unconditional deterministic action models. We propose update learning mechanisms for the afore mentioned classes of actions and analyse...

Postgraduate fellows as teaching assistants in human anatomy: an experimental teaching model at a Chinese research university.

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Cheng, Xiao; Wang, Lin; Guo, Kaihua; Liu, Shu; Li, Feng; Chu, Guoliang; Zhou, Li-Hua

2011-01-01

Postgraduate fellowship training programs are expanding at Chinese universities. This growing cadre of advanced trainees calls for the development of new learning and training models wherein postgraduate fellows have an ample opportunity to teach more junior learners, thereby expanding their own knowledge base and competitiveness for future employment. Educational reform at Sun Yat-Sen University has recently allowed postgraduate fellows to act as teaching assistants for undergraduate anatomy courses. This model is common in western countries but is novel in China. Copyright © 2010 American Association of Anatomists.

Deep Learning and Insomnia: Assisting Clinicians With Their Diagnosis.

Science.gov (United States)

Shahin, Mostafa; Ahmed, Beena; Hamida, Sana Tmar-Ben; Mulaffer, Fathima Lamana; Glos, Martin; Penzel, Thomas

2017-11-01

Effective sleep analysis is hampered by the lack of automated tools catering to disordered sleep patterns and cumbersome monitoring hardware. In this paper, we apply deep learning on a set of 57 EEG features extracted from a maximum of two EEG channels to accurately differentiate between patients with insomnia or controls with no sleep complaints. We investigated two different approaches to achieve this. The first approach used EEG data from the whole sleep recording irrespective of the sleep stage (stage-independent classification), while the second used only EEG data from insomnia-impacted specific sleep stages (stage-dependent classification). We trained and tested our system using both healthy and disordered sleep collected from 41 controls and 42 primary insomnia patients. When compared with manual assessments, an NREM + REM based classifier had an overall discrimination accuracy of 92% and 86% between two groups using both two and one EEG channels, respectively. These results demonstrate that deep learning can be used to assist in the diagnosis of sleep disorders such as insomnia.

From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning

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Yu, Shengquan; Yang, Xianmin; Cheng, Gang; Wang, Minjuan

2015-01-01

This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a…

EFFECT OF INQUIRY LEARNING MODEL AND MOTIVATION ON PHYSICS OUTCOMES LEARNING STUDENTS

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Dahlia Megawati Pardede

2016-06-01

Full Text Available The purposes of the research are: (a to determine differences in learning outcomes of students with Inquiry Training models and conventional models, (b to determine differences in physics learning outcomes of students who have high motivation and low motivation, (c to determine the interaction between learning models with the level of motivation in improving student Physics learning outcomes. The results were found: (a there are differences in physical students learning outcomes are taught by Inquiry Training models and conventional models. (b learning outcomes of students who are taught by Inquiry Learning Model Training better than student learning outcomes are taught with conventional model. (c there is a difference in student's learning outcomes that have high motivation and low motivation. (d Student learning outcomes that have a high motivation better than student learning outcomes than have a low motivation. (e there is interaction between learning and motivation to student learning outcomes. Learning outcomes of students who are taught by the model is influenced also by the motivation, while learning outcomes of students who are taught with conventional models are not affected by motivation.

Peer Assisted Learning and Blogging: A Strategy to Promote Reflective Practice during Clinical Fieldwork

Science.gov (United States)

Ladyshewsky, Richard K.; Gardner, Peter

2008-01-01

The use of peer assisted learning in clinical education is explored in this case study. Groups of undergraduate physiotherapy students were structured into communities of practice during the second half of their clinical fieldwork program. They collaborated online in an asynchronous manner, using information communications technology (blogs) and…

Effects of Computer-Assisted Jigsaw II Cooperative Learning Strategy on Physics Achievement and Retention

Science.gov (United States)

Gambari, Isiaka Amosa; Yusuf, Mudasiru Olalere

2016-01-01

This study investigated the effects of computer-assisted Jigsaw II cooperative strategy on physics achievement and retention. The study also determined how moderating variables of achievement levels as it affects students' performance in physics when Jigsaw II cooperative learning is used as an instructional strategy. Purposive sampling technique…

Feedback error learning controller for functional electrical stimulation assistance in a hybrid robotic system for reaching rehabilitation

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Francisco Resquín

2016-07-01

Full Text Available Hybrid robotic systems represent a novel research field, where functional electrical stimulation (FES is combined with a robotic device for rehabilitation of motor impairment. Under this approach, the design of robust FES controllers still remains an open challenge. In this work, we aimed at developing a learning FES controller to assist in the performance of reaching movements in a simple hybrid robotic system setting. We implemented a Feedback Error Learning (FEL control strategy consisting of a feedback PID controller and a feedforward controller based on a neural network. A passive exoskeleton complemented the FES controller by compensating the effects of gravity. We carried out experiments with healthy subjects to validate the performance of the system. Results show that the FEL control strategy is able to adjust the FES intensity to track the desired trajectory accurately without the need of a previous mathematical model.

Peer-assisted learning--beyond teaching: How can medical students contribute to the undergraduate curriculum?

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Furmedge, Daniel S; Iwata, Kazuya; Gill, Deborah

2014-09-01

Peer-assisted learning (PAL) has become increasingly popular over recent years with many medical schools now formally incorporating peer-teaching programs into the curriculum. PAL has a sound evidence base with benefit to both peer-teacher and peer-learner. Aside from in teaching delivery, empowering students to develop education in its broadest sense has been much less extensively documented. Five case studies with supportive evaluation evidence illustrate the success of a broad range of peer-led projects in the undergraduate medical curriculum, particularly where these have been embedded into formal teaching practices. These case studies identify five domains of teaching and support of learning where PAL works well: teaching and learning, resource development, peer-assessment, education research and evaluation and mentoring and support. Each case offers ways of engaging students in each domain. Medical students can contribute significantly to the design and delivery of the undergraduate medical program above and beyond the simple delivery of peer-assisted "teaching". In particular, they are in a prime position to develop resources and conduct research and evaluation within the program. Their participation in all stages enables them to feel involved in course development and education of their peers and ultimately leads to an increase in student satisfaction.

Outlook of Instructors and Students on Ethical Issues in Computer Assisted Language Learning

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V. R. Mirzaeian

2016-07-01

Full Text Available One of major concerns of human beings regardless of their religion or school of thought is to observe ethical issues. This paper discusses the issue and lays emphasis on observing ethical matters in teaching in virtual learning environments in general and computer assisted language learning in particular. The paper tries to throw light on the current status of observing ethical issues in virtual learning environments and drawing both instructors and students’ attention to this issue. The research has been conducted by using two questionnaires one given to students and the other to instructors. Data analysis revealed that majority of instructors observed ethical issues when confronted with students’ personal details. Students were most sensitive regarding disclosing their personal photos in these virtual environments; however, they were comfortable if their personal details were controlled by the instructors. The Chi-Square test showed no substantial difference between gender and observing ethical issues in virtual learning environments.

An Educational Board Game to Assist PharmD Students in Learning Autonomic Nervous System Pharmacology.

Science.gov (United States)

Jones, J Shawn; Tincher, Lindsay; Odeng-Otu, Emmanuel; Herdman, Michelle

2015-10-25

Objective. To examine whether playing a board game can assist PharmD students in learning autonomic nervous system (ANS) pharmacology. Design. Of 72 students enrolled in a required second-year pharmacology course, 22 students volunteered to play the board game, which was followed by an in-class examination consisting of 42 ANS questions (ANSQs) and 8 control questions (CTLQs). Participants were given a pretest and a posttest to assess immediate educational improvement. Participants' scores for pretest, posttest, in-class examination, and ANSQs were compared. Also, scores for examination, ANSQs, and CTLQs were compared between board game participants (PART) and nonparticipating classmates (NPART). Assessment. Board game participants scored progressively higher between the pretest, posttest, examination, and ANSQs. Additionally, PART scores were higher than NPART scores for examination and ANSQs. Difference between PART and NPART CTLQ scores was not significant. Conclusion. A board game can assist PharmD students in learning ANS pharmacology.

The Game Enhanced Learning Model

DEFF Research Database (Denmark)

Reng, Lars; Schoenau-Fog, Henrik

2016-01-01

will describe the levels of the model, which is based on our experience in teaching professional game development at university level. Furthermore, we have been using the model to inspire numerous educators to improve their students’ motivation and skills. The model presents various game-based learning...... activities, and depicts their required planning and expected outcome through eight levels. At its lower levels, the model contains the possibilities of using stand-alone analogue and digital games as teachers, utilizing games as a facilitator of learning activities, exploiting gamification and motivating......In this paper, we will introduce the Game Enhanced learning Model (GEM), which describes a range of gameoriented learning activities. The model is intended to give an overview of the possibilities of game-based learning in general and all the way up to purposive game productions. In the paper, we...

Mathematics Learning Assisted Geogebra using Technologically Aligned Classroom (TAC) to Improve Communication Skills of Vocasional High School Student

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Yuliardi, R.; Nurjanah

2017-09-01

The purpose of this study to analyze mathematical communication skill’s student to resolve geometry transformation problems through computer Assisted Geogebra using Technologically Aligned Classroom (TAC). The population in this study were students from one of Vocasional High School Student in West Java. Selection of sample by purposed random sampling, the experimental class is taught Technologically Aligned Classroom (TAC) with GeoGebra, while the control class is taught by conventional learning. This study was quasi-experimental with pretest and posttest control group design. Based on the results; (1) The enhancement of student mathematical communication skills through TAC was higher than the conventional learning; (2) based on gender, there were no differences of mathematical communication skilss student who exposed with TAC and conventional learning; (3) based on KAM test, there was significant enhancement of students’ communication skills among ability of high, middle, and low KAM. The differences occur between high KAM and middle KAM, and also between high KAM and low KAM. Based on this result, mathematics learning Assisted Geogebra using Technologically Aligned Classroom (TAC) can be applied in the process of Mathematics Learning in Vocasional High School.

Learning Auditory Discrimination with Computer-Assisted Instruction: A Comparison of Two Different Performance Objectives.

Science.gov (United States)

Steinhaus, Kurt A.

A 12-week study of two groups of 14 college freshmen music majors was conducted to determine which group demonstrated greater achievement in learning auditory discrimination using computer-assisted instruction (CAI). The method employed was a pre-/post-test experimental design using subjects randomly assigned to a control group or an experimental…

Computerized Games and Simulations in Computer-Assisted Language Learning: A Meta-Analysis of Research

Science.gov (United States)

Peterson, Mark

2010-01-01

This article explores research on the use of computerized games and simulations in language education. The author examined the psycholinguistic and sociocultural constructs proposed as a basis for the use of games and simulations in computer-assisted language learning. Research in this area is expanding rapidly. However, to date, few studies have…

Student Modeling and Machine Learning

OpenAIRE

Sison , Raymund; Shimura , Masamichi

1998-01-01

After identifying essential student modeling issues and machine learning approaches, this paper examines how machine learning techniques have been used to automate the construction of student models as well as the background knowledge necessary for student modeling. In the process, the paper sheds light on the difficulty, suitability and potential of using machine learning for student modeling processes, and, to a lesser extent, the potential of using student modeling techniques in machine le...

The "proactive" model of learning: Integrative framework for model-free and model-based reinforcement learning utilizing the associative learning-based proactive brain concept.

Science.gov (United States)

Zsuga, Judit; Biro, Klara; Papp, Csaba; Tajti, Gabor; Gesztelyi, Rudolf

2016-02-01

Reinforcement learning (RL) is a powerful concept underlying forms of associative learning governed by the use of a scalar reward signal, with learning taking place if expectations are violated. RL may be assessed using model-based and model-free approaches. Model-based reinforcement learning involves the amygdala, the hippocampus, and the orbitofrontal cortex (OFC). The model-free system involves the pedunculopontine-tegmental nucleus (PPTgN), the ventral tegmental area (VTA) and the ventral striatum (VS). Based on the functional connectivity of VS, model-free and model based RL systems center on the VS that by integrating model-free signals (received as reward prediction error) and model-based reward related input computes value. Using the concept of reinforcement learning agent we propose that the VS serves as the value function component of the RL agent. Regarding the model utilized for model-based computations we turned to the proactive brain concept, which offers an ubiquitous function for the default network based on its great functional overlap with contextual associative areas. Hence, by means of the default network the brain continuously organizes its environment into context frames enabling the formulation of analogy-based association that are turned into predictions of what to expect. The OFC integrates reward-related information into context frames upon computing reward expectation by compiling stimulus-reward and context-reward information offered by the amygdala and hippocampus, respectively. Furthermore we suggest that the integration of model-based expectations regarding reward into the value signal is further supported by the efferent of the OFC that reach structures canonical for model-free learning (e.g., the PPTgN, VTA, and VS). (c) 2016 APA, all rights reserved).

Deep ensemble learning of sparse regression models for brain disease diagnosis.

Science.gov (United States)

Suk, Heung-Il; Lee, Seong-Whan; Shen, Dinggang

2017-04-01

Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in computer-assisted intervention for brain disease diagnosis. Of various machine-learning techniques, sparse regression models have proved their effectiveness in handling high-dimensional data but with a small number of training samples, especially in medical problems. In the meantime, deep learning methods have been making great successes by outperforming the state-of-the-art performances in various applications. In this paper, we propose a novel framework that combines the two conceptually different methods of sparse regression and deep learning for Alzheimer's disease/mild cognitive impairment diagnosis and prognosis. Specifically, we first train multiple sparse regression models, each of which is trained with different values of a regularization control parameter. Thus, our multiple sparse regression models potentially select different feature subsets from the original feature set; thereby they have different powers to predict the response values, i.e., clinical label and clinical scores in our work. By regarding the response values from our sparse regression models as target-level representations, we then build a deep convolutional neural network for clinical decision making, which thus we call 'Deep Ensemble Sparse Regression Network.' To our best knowledge, this is the first work that combines sparse regression models with deep neural network. In our experiments with the ADNI cohort, we validated the effectiveness of the proposed method by achieving the highest diagnostic accuracies in three classification tasks. We also rigorously analyzed our results and compared with the previous studies on the ADNI cohort in the literature. Copyright © 2017 Elsevier B.V. All rights reserved.

Peripheral venous catheter insertion simulation training: A randomized controlled trial comparing performance after instructor-led teaching versus peer-assisted learning.

Science.gov (United States)

Pelloux, Sophie; Grégoire, Arnaud; Kirmizigul, Patrice; Maillot, Sandrine; Bui-Xuan, Bernard; Llorca, Guy; Boet, Sylvain; Lehot, Jean-Jacques; Rimmelé, Thomas

2017-12-01

Peripheral venous catheter insertion is a procedural skill that every medical student should master. Training is often limited to a small number of students and is poorly evaluated. The objective of this study was to evaluate the performance of peer-assisted learning in comparison to instructor-led teaching for peripheral venous catheter insertion training. Students were randomized to the control group attending a traditional instructor-led training session (slideshow and demonstration by an anesthetist instructor, followed by training on a procedural simulator) or to the test group attending a peer-assisted training session (slideshow and demonstration video-recorded by the same instructor, followed by training on a procedural simulator). The primary endpoint was the performance of peripheral venous catheter insertion, assessed on procedural simulator one week later by blinded experts using a standardized 20-item grid. Students self-evaluated their confidence levels using a numeric 10-point scale. Eighty-six students were included, 73 of whom attended the assessment session. The median performance score was 12/20 [8-15] in the instructor-led teaching group versus 13/20 [11-15] in the peer-assisted learning group (P=0.430). Confidence levels improved significantly after the assessment session and were significantly higher in the peer-assisted learning group (7.6/10 [7.0-8.0] versus 7.0/10 [5.0-8.0], P=0.026). Peer-assisted learning is effective for peripheral venous catheter insertion training and can be as effective as instructor-led teaching. Given the large number of students to train, this finding is important for optimizing the cost-effectiveness of peripheral venous catheter insertion training. Copyright © 2017 Société française d’anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.

Integrating Online and Active Learning in a Computer-Assisted Translation Workbench

DEFF Research Database (Denmark)

Alabau, Vicent; González-Rubio, Jésus; Ortíz-Martínez, Daniel

2014-01-01

This paper describes a pilot study with a computed-assisted translation workbench aiming at testing the integration of online and active learning features. We investigate the effect of these features on translation productivity, using interactive translation prediction (ITP) as a baseline. User...... activity data were collected from five beta testers using key-logging and eye-tracking. User feedback was also collected at the end of the experiments in the form of retrospective think-aloud protocols. We found that OL performs better than ITP, especially in terms of translation speed. In addition, AL...

Towards a semantic learning model fostering learning object reusability

OpenAIRE

Fernandes , Emmanuel; Madhour , Hend; Wentland Forte , Maia; Miniaoui , Sami

2005-01-01

We try in this paper to propose a domain model for both author's and learner's needs concerning learning objects reuse. First of all, we present four key criteria for an efficient authoring tool: adaptive level of granularity, flexibility, integration and interoperability. Secondly, we introduce and describe our six-level Semantic Learning Model (SLM) designed to facilitate multi-level reuse of learning materials and search by defining a multi-layer model for metadata. Finally, after mapping ...

Assistance dogs provide a useful behavioral model to enrich communicative skills of assistance robots.

Science.gov (United States)

Gácsi, Márta; Szakadát, Sára; Miklósi, Adám

2013-01-01

These studies are part of a project aiming to reveal relevant aspects of human-dog interactions, which could serve as a model to design successful human-robot interactions. Presently there are no successfully commercialized assistance robots, however, assistance dogs work efficiently as partners for persons with disabilities. In Study 1, we analyzed the cooperation of 32 assistance dog-owner dyads performing a carrying task. We revealed typical behavior sequences and also differences depending on the dyads' experiences and on whether the owner was a wheelchair user. In Study 2, we investigated dogs' responses to unforeseen difficulties during a retrieving task in two contexts. Dogs displayed specific communicative and displacement behaviors, and a strong commitment to execute the insoluble task. Questionnaire data from Study 3 confirmed that these behaviors could successfully attenuate owners' disappointment. Although owners anticipated the technical competence of future assistance robots to be moderate/high, they could not imagine robots as emotional companions, which negatively affected their acceptance ratings of future robotic assistants. We propose that assistance dogs' cooperative behaviors and problem solving strategies should inspire the development of the relevant functions and social behaviors of assistance robots with limited manual and verbal skills.

[Individual learning curve for radical robot-assisted prostatectomy based on the example of three professionals working in one clinic].

Science.gov (United States)

Rasner, P I; Pushkar', D Iu; Kolontarev, K B; Kotenkov, D V

2014-01-01

The appearance of new surgical technique always requires evaluation of its effectiveness and ease of acquisition. A comparative study of the results of the first three series of successive robot-assisted radical prostatectomy (RARP) performed on at time by three surgeons, was conducted. The series consisted of 40 procedures, and were divided into 4 groups of 10 operations for the analysis. When comparing data, statistically significant improvement of intra- and postoperative performance in each series was revealed, with increase in the number of operations performed, and in each subsequent series compared with the preceding one. We recommend to perform the planned conversion at the first operation. In our study, previous laparoscopic experience did not provide any significant advantages in the acquisition of robot-assisted technology. To characterize the individual learning curve, we recommend the use of the number of operations that the surgeon looked in the life-surgery regimen and/or in which he participated as an assistant before his own surgical activity, as well as the indicator "technical defect". In addition to the term "individual learning curve", we propose to introduce the terms "surgeon's individual training phase", and "clinic's learning curve".

Application of the Human Activity Assistive Technology model for occupational therapy research.

Science.gov (United States)

Giesbrecht, Ed

2013-08-01

Theoretical models provide a framework for describing practice and integrating evidence into systematic research. There are few models that relate specifically to the provision of assistive technology in occupational therapy practice. The Human Activity Assistive Technology model is an enduring example that has continued to develop by integrating a social model of disability, concepts from occupational therapy theory and principles of assistive technology adoption and abandonment. This study first describes the core concepts of the Human Activity Assistive Technology model and reviews its development over three successive published versions. A review of the research literature reflects application of the model to clinical practice, study design, outcome measure selection and interpretation of results, particularly among occupational therapists. An evaluative framework is used to critique the adequacy of the Human Activity Assistive Technology model for practice and research, exploring attributes of clarity, simplicity, generality, accessibility and importance. Finally, recommendations are proposed for continued development of the model and research applications. Most of the existing research literature employs the Human Activity Assistive Technology model for background and study design; there is emerging evidence to support the core concepts as predictive factors. Although the concepts are generally simple, clear and applicable to occupational therapy practice and research, evolving terminology and outcomes become more complex with the conflation of integrated theories. The development of the Human Activity Assistive Technology model offers enhanced access and application for occupational therapists, but poses challenges to clarity among concepts. Suggestions are made for further development and applications of the model. © 2013 Occupational Therapy Australia.

Mobile Assisted Language Learning Experiences

Science.gov (United States)

Kim, Daesang; Ruecker, Daniel; Kim, Dong-Joong

2017-01-01

The purpose of this study was to investigate the benefits of learning with mobile technology for TESOL students and to explore their perceptions of learning with this type of technology. The study provided valuable insights on how students perceive and adapt to learning with mobile technology for effective learning experiences for both students…

Learning About Climate and Atmospheric Models Through Machine Learning

Science.gov (United States)

Lucas, D. D.

2017-12-01

From the analysis of ensemble variability to improving simulation performance, machine learning algorithms can play a powerful role in understanding the behavior of atmospheric and climate models. To learn about model behavior, we create training and testing data sets through ensemble techniques that sample different model configurations and values of input parameters, and then use supervised machine learning to map the relationships between the inputs and outputs. Following this procedure, we have used support vector machines, random forests, gradient boosting and other methods to investigate a variety of atmospheric and climate model phenomena. We have used machine learning to predict simulation crashes, estimate the probability density function of climate sensitivity, optimize simulations of the Madden Julian oscillation, assess the impacts of weather and emissions uncertainty on atmospheric dispersion, and quantify the effects of model resolution changes on precipitation. This presentation highlights recent examples of our applications of machine learning to improve the understanding of climate and atmospheric models. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

Peer-Assisted Learning Programme: Supporting Students in High-Risk Subjects at the Mechanical Engineering Department at Walter Sisulu University

Directory of Open Access Journals (Sweden)

Makala Qonda

2017-12-01

Full Text Available The majority of the students who enroll at the Walter Sisulu University (WSU in South Africa are not equipped with the necessary academic/learning skills to cope with the university environment, especially in Mechanical Engineering. The Department of Higher Education and Training (2013, p. 17, further states that “students’ support is crucial to ensure that students adapt to the demands of college life and that they can meet the demands of college programmes”. Particularly in South Africa, the school environment might also contribute to poor student performance as a result of insufficient student support, and a lack of facilities and resources. In order to address this gap, a Peer-Assisted Learning (PAL programme was implemented to provide support targeting high-risk subjects for at-risk students in Mechanical Engineering at WSU. The programme therefore is pro-active and student-driven in that senior students assist junior students with their academic work and learning processes. The programme is designed to encourage collaborative and cooperative learning approaches during group sessions and active student engagement to support student learning (Laal & Laal, 2012. The programme requires substantial resources and time commitments. It is important from an operational, learning, and student perspective to understand in what ways the PAL programme assists students (if at all. Eliciting the experiences of students also helps the department to design interventions from a student-centred perspective using the lens of learning theories.  This qualitative case study explores the student experience of the Peer-Assisted Learning (PAL programme. Open-ended questionnaires/survey from 20 first-year students elicited their perceptions and experiences of the PAL programme. Responses were analysed thematically. Findings indicated that the students had useful insights that may contribute to revising the programme. Aspects mentioned were improved study

Computer-Assisted Mathematics Instruction for Students with Specific Learning Disability: A Review of the Literature

Science.gov (United States)

Stultz, Sherry L.

2017-01-01

This review was conducted to evaluate the current body of scholarly research regarding the use of computer-assisted instruction (CAI) to teach mathematics to students with specific learning disability (SLD). For many years, computers are utilized for educational purposes. However, the effectiveness of CAI for teaching mathematics to this specific…

The Effect of a Graph-Oriented Computer-Assisted Project-Based Learning Environment on Argumentation Skills

Science.gov (United States)

Hsu, P. -S.; Van Dyke, M.; Chen, Y.; Smith, T. J.

2015-01-01

The purpose of this quasi-experimental study was to explore how seventh graders in a suburban school in the United States developed argumentation skills and science knowledge in a project-based learning environment that incorporated a graph-oriented, computer-assisted application. A total of 54 students (three classes) comprised this treatment…

[Models of assisted deliveries and women's participation].

Science.gov (United States)

Progianti, Jane Márcia

2004-01-01

The study aimed at analyzing four proposals of obstetric assistance that co-existed in the city of Rio de Janeiro from the early Thirties to the Fifties, as well as discussing the inclusion of graduated and non-graduated accoucheuses, and nurses. It is of a historical-social nature, making use of the written document as a primary source. The analysis is based Pierre Bourdieu's main concepts. With this research, it was possible to make evident the domiciliary obstetric service of the sanitarist model, the philanthropic proposal of society's ladies, the individualized hospital-based assistance, and the proposal of integrated obstetric assistance. The study also allowed the understanding of the exclusion of non-graduated women from the Brazilian obstetric field.

Assisting in Auditing of Buffer Overflow Vulnerabilities via Machine Learning

Directory of Open Access Journals (Sweden)

Qingkun Meng

2017-01-01

Full Text Available Buffer overflow vulnerability is a kind of consequence in which programmers’ intentions are not implemented correctly. In this paper, a static analysis method based on machine learning is proposed to assist in auditing buffer overflow vulnerabilities. First, an extended code property graph is constructed from the source code to extract seven kinds of static attributes, which are used to describe buffer properties. After embedding these attributes into a vector space, five frequently used machine learning algorithms are employed to classify the functions into suspicious vulnerable functions and secure ones. The five classifiers reached an average recall of 83.5%, average true negative rate of 85.9%, a best recall of 96.6%, and a best true negative rate of 91.4%. Due to the imbalance of the training samples, the average precision of the classifiers is 68.9% and the average F1 score is 75.2%. When the classifiers were applied to a new program, our method could reduce the false positive to 1/12 compared to Flawfinder.

Cross-year peer-assisted learning using the inverted ("flipped") classroom design: A pilot study in dentistry.

Science.gov (United States)

Quoß, Maximilian; Rüttermann, Stefan; Gerhardt-Szep, Susanne

2017-10-01

The inverted classroom model (ICM) represents a special combination of online and attendance learning. The implementation of the didactic concept of "peer-assisted learning" (PAL) within an ICM design has not yet been described in the literature for the field of restorative dentistry. It was the goal of the present study to develop an ICM offering in a cross-year PAL format (ICM-cyPAL), and then introduce and evaluate it. The pilot project was conducted at the dental clinic at the Goethe University of Frankfurt/Main, where following its conceptual development and implementation with three consecutive cohorts of students in their first clinical semester (the sixth semester at university) the ICM-cyPAL offering was evaluated. Data on acceptance, tutor effectiveness, group interaction models and learning strategies were collected using an evaluative instrument. 121 students (tutees) participated in three cohorts. The response rate reached 98.3 %. In total, the offering was given an average rating of 6.97±1.93 (from 1 = unsatisfactory to 10 = excellent). As the tutees explained the attention that the tutors employed gave to the group was "just right" (4.65±1.04; where 1 = too controlling and 4 = just right to 7 = left the group on their own too long) and talked "just the right amount" (4.54±0.95; where 1 = too much and 4 = just right to 7 = talked too little). The results for tutor effectiveness reached values between 3.26±0.94 and 3.78±0.87; for the evaluation of group interaction models average values were obtained from 3.41±0.98 to 3.89±0.73 (on a Likert scale of 1 = do not at all agree to 5 = completely agree). Concerning the surveyed learning strategies, the dimensions of "resource management" and "implementation of the learning materials" were given the highest and lowest rankings, respectively. The tutees' ratings of the newly developed and implemented ICM-cyPAL offering in the dental context were mainly positive. The thematic orientation of the

Learning from erroneous models using SCYDynamics

NARCIS (Netherlands)

Mulder, Y.G.; Bollen, Lars; de Jong, Anthonius J.M.

2014-01-01

Dynamic phenomena are common in science education. Students can learn about such system dynamic processes through model based learning activities. This paper describes a study on the effects of a learning from erroneous models approach using the learning environment SCYDynamics. The study compared

Learning design for science teacher training and educational development

DEFF Research Database (Denmark)

Bjælde, Ole Eggers; Caspersen, Michael E.; Godsk, Mikkel

This paper presents the impact and perception of two initiatives at the Faculty of Science and Technology, Aarhus University: the teacher training module ‘Digital Learning Design’ (DiLD) for assistant professors and postdocs, and the STREAM learning design model and toolkit for enhancing and tran......This paper presents the impact and perception of two initiatives at the Faculty of Science and Technology, Aarhus University: the teacher training module ‘Digital Learning Design’ (DiLD) for assistant professors and postdocs, and the STREAM learning design model and toolkit for enhancing...... and transforming modules. Both DiLD and the STREAM model have proven to be effective and scalable approaches to encourage educators across all career steps to embrace the potentials of educational technology in science higher education. Moreover, the transformed modules have resulted in higher student satisfaction...

Program of technical assistance to the Organization for the Prohibition of Chemical Weapons - lessons learned from the U.S. program of technical assistance to IAEA safeguards. Final report

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-06-01

The Defense Nuclear Agency is sponsoring a technical study of the requirements of a vehicle to meet the OPCW`s future needs for enhanced chemical weapons verification capabilities. This report provides information about the proven mechanisms by which the U.S. provided both short- and long-term assistance to the IAEA to enhance its verification capabilities. Much of the technical assistance has generic application to international organizations verifying compliance with disarmament treaties or conventions. In addition, some of the equipment developed by the U.S. under the existing arrangements can be applied in the verification of other disarmament treaties or conventions. U.S. technical assistance to IAEA safeguards outside of the IAEA`s regular budget proved to be necessary. The U.S. technical assistance was successful in improving the effectiveness of IAEA safeguards for its most urgent responsibilities and in providing the technical elements for increased IAEA {open_quotes}readiness{close_quotes} for the postponed responsibilities deemed important for U.S. policy objectives. Much of the technical assistance was directed to generic subjects and helped to achieve a system of international verification. It is expected that the capabilities of the Organization for the Prohibition of Chemical Weapons (OPCW) to verify a state`s compliance with the {open_quotes}Chemical Weapons Convention{close_quotes} will require improvements. This report presents 18 important lessons learned from the experience of the IAEA and the U.S. Program of Technical Assistance to IAEA Safeguards (POTAS), organized into three tiers. Each lesson is presented in the report in the context of the difficulty, need and history in which the lesson was learned. Only the most important points are recapitulated in this executive summary.

The Effectiveness of Computer-Assisted Instruction for Teaching Mathematics to Students with Specific Learning Disability

Science.gov (United States)

Stultz, Sherry L.

2013-01-01

Using computers to teach students is not a new idea. Computers have been utilized for educational purposes for over 80 years. However, the effectiveness of these programs for teaching mathematics to students with specific learning disability is unclear. This study was undertaken to determine if computer-assisted instruction was as effective as…

Pengaruh Model Pembelajaran Investigasi Kelompok berbantuan Perangkat Lunak Maple terhadap Kemampuan Pemecahan Masalah Matematis

Directory of Open Access Journals (Sweden)

Putri Wulandari

2016-06-01

Full Text Available This study aims to determine the effect of mathematical problem solving ability of learners who follow the learning by using an instructional model of maple assisted software assisted, with learners who use, study group investigation model, as well as learners who follow the conventional learning model conducted by researchers on participants Students of class X SMK Muhammadiyah 1 Metro. This type of research is a quasi experimental research with posttest only control design design. Hypothesis test using a one-way anava test with unequal cells and obtained the conclusion that the model of group investigation learning is better than an instructional model of maple assisted software group and both models of learning is better than conventional learning model. Based on the results of analysis and discussion of research data obtained that there is an influence on the ability of solving mathematical problems among students in class applying group investigation model assisted maple software, students in class apply only group investigation learning model, and students whose class apply the conventional learning model on the principal Discussion of the matrix.

The Effects of a Computer-Assisted Teaching Material, Designed According to the ASSURE Instructional Design and the ARCS Model of Motivation, on Students' Achievement Levels in a Mathematics Lesson and Their Resulting Attitudes

Science.gov (United States)

Karakis, Hilal; Karamete, Aysen; Okçu, Aydin

2016-01-01

This study examined the effects that computer-assisted instruction had on students' attitudes toward a mathematics lesson and toward learning mathematics with computer-assisted instruction. The computer software we used was based on the ASSURE Instructional Systems Design and the ARCS Model of Motivation, and the software was designed to teach…

Assistive Technology: What Physical Educators Need to Know

Science.gov (United States)

Laughlin, Michael K.; Murata, Nathan M.; Gonnelli, Michele; Larranaga, John

2018-01-01

Assistive technology supplements and supports the learning of students with disabilities in school and at home. Thanks to federal mandates, students with disabilities receive consideration for assistive technology devices and services--the tools and supports needed to achieve determined learning outcomes. Assistive technology devices and services…

COGNITIVE DIALOG GAMES AS COGNITIVE ASSISTANTS: TRACKING AND ADAPTING KNOWLEDGE AND INTERACTIONS IN STUDENT’S DIALOGS

Directory of Open Access Journals (Sweden)

Adem Karahoca

2018-04-01

Full Text Available This study introduces a system design in a form of cognitive dialog game (DiaCog to support pedagogical factors and student learning model ideas. The purpose of the study is to describe how such a design achieves tracking and adapting students’ knowledge and mastery learning levels as a cognitive assistant. Also, this study shows alternative ways for supporting intelligent personal learning, tutoring systems, and MOOCS. This paper explains method called DiaCog that uses structure for students` thinking in an online dialog by tracking student`s level of learning/knowledge status. The methodology of computing is the semantic that match between students` interactions in a dialog. By this way it informs DiaCog’s learner model to inform the pedagogical model. Semantic fingerprint matching method of DiaCog allows making comparisons with expert knowledge to detect students` mastery levels in learning. The paper concludes with the DiaCog tool and methodologies that used for intelligent cognitive assistant design to implement pedagogical and learner model to track and adapt students’ learning. Finally, this paper discusses future improvements and planned experimental set up to advance the techniques introduced in DiaCog design.

THE DEVELOPMENT OF ELECTRONIC TEACHING MATERIALS BY FLIPBOOK ASSISTANCE BASED PROBLEM SOLVING SKILL WITH CTL APPROACH ON LEARNING MATHEMATICS CLASS V

Directory of Open Access Journals (Sweden)

RUSNILAWATI Eva Gustiana RUSNILAWATI

2018-01-01

Full Text Available The purpose of this research is to produce Flipbook-based Electronic Teaching Materials (BAE based on problem solving skills with CTL Approach on Vocational School Class V learning valid, practical, and effective. This type of research is development research (Development Research. This research developed Flipbook-assisted Electronic Teaching Materials (BAE on the mathematics learning of Class V Primary School by using the 4-D development model developed by Thiagarajan, Semmel, and Semmel. The validation results show that the developed Teaching Materials are worthy of use with a good minimum category. The results of the experiments show that Electronic Materials developed are practical and effective. Completed learning in the classical has reached the minimum criteria of 75% that is for problem-solving test reached 86%. Based on a questionnaire of attitudes toward mathematics, 88% of students showed an increase in attitude scores on mathematics, and 85% of students showed attitudes toward mathematics with a good minimum category.

Machine-learning-assisted materials discovery using failed experiments

Science.gov (United States)

Raccuglia, Paul; Elbert, Katherine C.; Adler, Philip D. F.; Falk, Casey; Wenny, Malia B.; Mollo, Aurelio; Zeller, Matthias; Friedler, Sorelle A.; Schrier, Joshua; Norquist, Alexander J.

2016-05-01

Inorganic-organic hybrid materials such as organically templated metal oxides, metal-organic frameworks (MOFs) and organohalide perovskites have been studied for decades, and hydrothermal and (non-aqueous) solvothermal syntheses have produced thousands of new materials that collectively contain nearly all the metals in the periodic table. Nevertheless, the formation of these compounds is not fully understood, and development of new compounds relies primarily on exploratory syntheses. Simulation- and data-driven approaches (promoted by efforts such as the Materials Genome Initiative) provide an alternative to experimental trial-and-error. Three major strategies are: simulation-based predictions of physical properties (for example, charge mobility, photovoltaic properties, gas adsorption capacity or lithium-ion intercalation) to identify promising target candidates for synthetic efforts; determination of the structure-property relationship from large bodies of experimental data, enabled by integration with high-throughput synthesis and measurement tools; and clustering on the basis of similar crystallographic structure (for example, zeolite structure classification or gas adsorption properties). Here we demonstrate an alternative approach that uses machine-learning algorithms trained on reaction data to predict reaction outcomes for the crystallization of templated vanadium selenites. We used information on ‘dark’ reactions—failed or unsuccessful hydrothermal syntheses—collected from archived laboratory notebooks from our laboratory, and added physicochemical property descriptions to the raw notebook information using cheminformatics techniques. We used the resulting data to train a machine-learning model to predict reaction success. When carrying out hydrothermal synthesis experiments using previously untested, commercially available organic building blocks, our machine-learning model outperformed traditional human strategies, and successfully predicted

IMPROVEMENT OF GRAPH INTERPRETATION ABILITY USING HYPERTEXT-ASSISTED KINEMATIC LEARNING AND FORMAL THINKING ABILITY

Directory of Open Access Journals (Sweden)

S. R. Manurung

2018-01-01

Full Text Available The effectiveness of hypertext media in improving graph interpretation ability is investigated in this paper. In addition, joint ability of the formal thinking to improve the graph ability of prospective students is considered. The research design used is the one-group pretest-posttest experimental design is carried out in the research by taking 36 students on from Physics Education Program in one institute for teacher education in Medan. The test consists of graph interpretation ability test in the topic of kinematics and Test of Logical Thinking (TOLT or formal thinking before learning and graph interpretation ability test after learning. The data are then analysed by using SPSS based two ways Analisys of Variance (ANOVA method. The results show that the ability to interpretate graph is significantly improved by using hypertext media assisted kinematic learning.

Visual Perceptual Learning and Models.

Science.gov (United States)

Dosher, Barbara; Lu, Zhong-Lin

2017-09-15

Visual perceptual learning through practice or training can significantly improve performance on visual tasks. Originally seen as a manifestation of plasticity in the primary visual cortex, perceptual learning is more readily understood as improvements in the function of brain networks that integrate processes, including sensory representations, decision, attention, and reward, and balance plasticity with system stability. This review considers the primary phenomena of perceptual learning, theories of perceptual learning, and perceptual learning's effect on signal and noise in visual processing and decision. Models, especially computational models, play a key role in behavioral and physiological investigations of the mechanisms of perceptual learning and for understanding, predicting, and optimizing human perceptual processes, learning, and performance. Performance improvements resulting from reweighting or readout of sensory inputs to decision provide a strong theoretical framework for interpreting perceptual learning and transfer that may prove useful in optimizing learning in real-world applications.

Making environmental health interesting for medical students-internet assisted facilitated collaborative learning approach.

Science.gov (United States)

Sudharsanam, Manni Balasubramaniam

2014-01-01

Topics on environmental health are usually neglected by students and it is necessary for them to learn this area with a public health perspective as environment plays a vital role in multi-factorial causation of diseases. Hence there is a need for alternative teaching/learning methods to facilitate students in acquiring the required knowledge. To increase the student interest and enhance their participation in acquiring knowledge in public health perspective of environmental health. Teaching Objectives/Learning Were: At the end of the session students should know the importance of air as an environmental factor in disease causation in special reference to public health hazards, the major sources of air pollution, major pollutants causing the health hazards, the way to measure pollutants and control them. The whole class of students was divided into two batches and one session was planned for each batch. Each batch was divided into six small groups. The groups were given task of exploring the internet on the different topics mentioned in the learning objectives. All the students were asked to explore, compile information and collectively prepare a presentation and present their findings based on their reviews. Students' feedback was collected at the end of each session. Eighty five percent of them were clear about the learning objectives and interested about internet learning. Most of them gave a positive opinion about the newer teaching learning method. Internet assisted group study served as a valuable alternative, innovative, and interesting tool to teach and learn the environmental health as revealed by students' feedback.

Individual Learning Accounts and Other Models of Financing Lifelong Learning

Science.gov (United States)

Schuetze, Hans G.

2007-01-01

To answer the question "Financing what?" this article distinguishes several models of lifelong learning as well as a variety of lifelong learning activities. Several financing methods are briefly reviewed, however the principal focus is on Individual Learning Accounts (ILAs) which were seen by some analysts as a promising model for…

Teaching Economics: A Cooperative Learning Model.

Science.gov (United States)

Caropreso, Edward J.; Haggerty, Mark

2000-01-01

Describes an alternative approach to introductory economics based on a cooperative learning model, "Learning Together." Discussion of issues in economics education and cooperative learning in higher education leads to explanation of how to adapt the Learning Together Model to lesson planning in economics. A flow chart illustrates the process for a…

Implementation of Inquiry-Based Tutorials in AN Introductory Physics Course: the Role of the Graduate Teaching Assistant.

Science.gov (United States)

Thoresen, Carol Wiggins

1994-01-01

This study determined if the training provided physics teaching assistants was sufficient to accomplish the objectives of inquiry-based tutorials for an introductory physics course. Qualitative research methods were used: (1) to determine if the Physics by Inquiry method was modeled; (2) to describe the process from the teaching assistant perspective; (3) to determine TA opinions on training methods; (4) to develop a frame of reference to better understand the role of TA's as instructional support staff. The study determined that the teaching assistants verbalized appropriate instructional actions, but were observed to use a predominantly didactic teaching style. TA's held a variety of perceptions and beliefs about inquiry -based learning and how science is learned. They felt comfortable in the role of tutorial instructor. They were satisfied with the training methods provided and had few suggestions to change or improve training for future tutorial instructors. A concurrent theme of teacher action dependent on teacher beliefs was sustained throughout the study. The TA's actions, as tutorial instructors, reflected their educational beliefs, student background and learning experiences. TA's performance as tutorial instructors depended on what they think and believe about learning science. Practical implications exist for training teaching assistants to be tutorial instructors. Some recommendations may be appropriate for TA's required to use instructional methods that they have not experienced as students. Interview prospective teaching assistants to determine educational experience and beliefs. Employ inexperienced teaching assistants whose perspectives match the proposed instructional role and who might be more receptive to modeling. Incorporate training into staff meetings. Provide time for TA's to experience the instructional model with simulation or role play as students and as instructors, accompanied by conference discussion. Use strategies known to enhance

Traffic modelling validation of advanced driver assistance systems

NARCIS (Netherlands)

Tongeren, R. van; Gietelink, O.J.; Schutter, B. de; Verhaegen, M.

2007-01-01

This paper presents a microscopic traffic model for the validation of advanced driver assistance systems. This model describes single-lane traffic and is calibrated with data from a field operational test. To illustrate the use of the model, a Monte Carlo simulation of single-lane traffic scenarios

Machine learning applications in genetics and genomics.

Science.gov (United States)

Libbrecht, Maxwell W; Noble, William Stafford

2015-06-01

The field of machine learning, which aims to develop computer algorithms that improve with experience, holds promise to enable computers to assist humans in the analysis of large, complex data sets. Here, we provide an overview of machine learning applications for the analysis of genome sequencing data sets, including the annotation of sequence elements and epigenetic, proteomic or metabolomic data. We present considerations and recurrent challenges in the application of supervised, semi-supervised and unsupervised machine learning methods, as well as of generative and discriminative modelling approaches. We provide general guidelines to assist in the selection of these machine learning methods and their practical application for the analysis of genetic and genomic data sets.

What’s about Peer Tutoring Learning Model?

Science.gov (United States)

Muthma'innah, M.

2017-09-01

Mathematics learning outcomes in Indonesia in general is still far from satisfactory. One effort that could be expected to solve the problem is to apply the model of peer tutoring learning in mathematics. This study aims to determine whether the results of students’ mathematics learning can be enhanced through peer tutoring learning models. This type of research is the study of literature, so that the method used is to summarize and analyze the results of relevant research that has been done. Peer tutoring learning model is a model of learning in which students learn in small groups that are grouped with different ability levels, all group members to work together and help each other to understand the material. By paying attention to the syntax of the learning, then learning will be invaluable peer tutoring for students who served as teachers and students are taught. In mathematics, the implementation of this learning model can make students understand each other mathematical concepts and help students in solving mathematical problems that are poorly understood, due to the interaction between students in learning. Then it will be able to improve learning outcomes in mathematics. The impact, it can be applied in mathematics learning.

Developing learning community model with soft skill integration for the building engineering apprenticeship programme in vocational high school

Science.gov (United States)

Sutrisno, Dardiri, Ahmad; Sugandi, R. Machmud

2017-09-01

This study aimed to address the procedure, effectiveness, and problems in the implementation of learning model for Building Engineering Apprenticeship Training Programme. This study was carried out through survey method and experiment. The data were collected using questionnaire, test, and assessment sheet. The collected data were examined through description, t-test, and covariance analysis. The results of the study showed that (1) the model's procedure covered preparation course, readiness assessment, assignment distribution, handing over students to apprenticeship instructors, task completion, assisting, field assessment, report writing, and follow-up examination, (2) the Learning Community model could significantly improve students' active learning, but not improve students' hard skills and soft skills, and (3) the problems emerging in the implementation of the model were (1) students' difficulties in finding apprenticeship places and qualified instructors, and asking for relevant tasks, (2) teachers' difficulties in determining relevant tasks and monitoring students, and (3) apprenticeship instructors' difficulties in assigning, monitoring, and assessing students.

Soft Tissue Biomechanical Modeling for Computer Assisted Surgery

CERN Document Server

2012-01-01

  This volume focuses on the biomechanical modeling of biological tissues in the context of Computer Assisted Surgery (CAS). More specifically, deformable soft tissues are addressed since they are the subject of the most recent developments in this field. The pioneering works on this CAS topic date from the 1980's, with applications in orthopaedics and biomechanical models of bones. More recently, however, biomechanical models of soft tissues have been proposed since most of the human body is made of soft organs that can be deformed by the surgical gesture. Such models are much more complicated to handle since the tissues can be subject to large deformations (non-linear geometrical framework) as well as complex stress/strain relationships (non-linear mechanical framework). Part 1 of the volume presents biomechanical models that have been developed in a CAS context and used during surgery. This is particularly new since most of the soft tissues models already proposed concern Computer Assisted Planning, with ...

Modelling unsupervised online-learning of artificial grammars: linking implicit and statistical learning.

Science.gov (United States)

Rohrmeier, Martin A; Cross, Ian

2014-07-01

Humans rapidly learn complex structures in various domains. Findings of above-chance performance of some untrained control groups in artificial grammar learning studies raise questions about the extent to which learning can occur in an untrained, unsupervised testing situation with both correct and incorrect structures. The plausibility of unsupervised online-learning effects was modelled with n-gram, chunking and simple recurrent network models. A novel evaluation framework was applied, which alternates forced binary grammaticality judgments and subsequent learning of the same stimulus. Our results indicate a strong online learning effect for n-gram and chunking models and a weaker effect for simple recurrent network models. Such findings suggest that online learning is a plausible effect of statistical chunk learning that is possible when ungrammatical sequences contain a large proportion of grammatical chunks. Such common effects of continuous statistical learning may underlie statistical and implicit learning paradigms and raise implications for study design and testing methodologies. Copyright © 2014 Elsevier Inc. All rights reserved.

Inquiry based learning as didactic model in distant learning

NARCIS (Netherlands)

Rothkrantz, L.J.M.

2015-01-01

Recent years many universities are involved in development of Massive Open Online Courses (MOOCs). Unfortunately an appropriate didactic model for cooperated network learning is lacking. In this paper we introduce inquiry based learning as didactic model. Students are assumed to ask themselves

Training Teaching Assistants.

Science.gov (United States)

Rava, Susan

1987-01-01

Washington University's (Missouri) Department of Romance Languages and Literature requires its graduate teaching assistants to take a one-semester pedagogy course to ensure their competence and effectiveness as teaching assistants. The course features seminars in which goals, expectations, and learning theories are discussed and practice teaching…

Model brain based learning (BBL and whole brain teaching (WBT in learning

Directory of Open Access Journals (Sweden)

Baiq Sri Handayani

2017-08-01

Full Text Available The learning process is a process of change in behavior as a form of the result of learning. The learning model is a crucial component of the success of the learning process. The learning model is growing fastly, and each model has different characteristics. Teachers are required to be able to understand each model to teach the students optimally by matching the materials and the learning model. The best of the learning model is the model that based on the brain system in learning that are the model of Brain Based Learning (BBL and the model of Whole Brain Teaching (WBT. The purposes of this article are to obtain information related to (1 the brain’s natural learning system, (2 analyze the characteristics of the model BBL and WBT based on theory, brain sections that play a role associated with syntax, similarities, and differences, (3 explain the distinctive characteristics of both models in comparison to other models. The results of this study are: (1 the brain’s natural learning system are: (a the nerves in each hemisphere do not work independently, (b doing more activities can connect more brain nerves, (c the right hemisphere controls the left side motoric sensor of the body, and vice versa; (2 the characteristics of BBL and WBT are: (a BBL is based on the brain’s structure and function, while the model WBT is based on the instructional approach, neurolinguistic, and body language, (b the parts of the brain that work in BBL are: cerebellum, cerebral cortex, frontal lobe, limbic system, and prefrontal cortex; whereas the parts that work WBT are: prefrontal cortex, visual cortex, motor cortex, limbic system, and amygdala, (c the similarities between them are that they both rely on the brain’s system and they both promote gesture in learning, whereas the differences are on the view of the purposes of gestures and the learning theory that they rely on. BBL relies on cognitive theory while WBT relies on social theory; (3 the typical

A New Mobile Learning Adaptation Model

OpenAIRE

Mohamd Hassan Hassan; Jehad Al-Sadi

2009-01-01

This paper introduces a new model for m- Learning context adaptation due to the need of utilizing mobile technology in education. Mobile learning; m-Learning for short; in considered to be one of the hottest topics in the educational community, many researches had been done to conceptualize this new form of learning. We are presenting a promising design for a model to adapt the learning content in mobile learning applications in order to match the learner context, preferences and the educatio...

Effect Of Inquiry Learning Model And Motivation On Physics Outcomes Learning Students

OpenAIRE

Pardede, Dahlia Megawati; Manurung, Sondang Rina

2016-01-01

The purposes of the research are: (a) to determine differences in learning outcomes of students with Inquiry Training models and conventional models, (b) to determine differences in physics learning outcomes of students who have high motivation and low motivation, (c) to determine the interaction between learning models with the level of motivation in improving student Physics learning outcomes. The results were found: (a) there are differences in physical students learning outcomes are taugh...

A model-driven development approach for learning design using the LPCEL Editor

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Jorge Torres

2014-01-01

Full Text Available Complex learning scenarios are represented using Educational Modeling Languages (EMLs. Different people with specific skills usually design these scenarios. The IMS LD is a commonly used EML for which some visual editors are being created in order to assist the authoring process. However, these editors have a limited level of expressiveness and do not provide the facilities for designers to collaborate in the design process. The LPCEL Editor provides a broad level of expressiveness and facilitates the authoring process with an editor that includes: (1 Visual Elements, (2 Intermediate Representation, (3 Learning Patterns, (4 Collaboration tools and (5 Web Services. In order to verify that the components are sufficient, we conducted a user evaluation to analyze their perspective regarding the level of functionality of the tools.

Simulation training in video-assisted urologic surgery.

Science.gov (United States)

Hoznek, András; Salomon, Laurent; de la Taille, Alexandre; Yiou, René; Vordos, Dimitrios; Larre, Stéphane; Abbou, Clément-Claude

2006-03-01

The current system of surgical education is facing many challenges in terms of time efficiency, costs, and patient safety. Training using simulation is an emerging area, mostly based on the experience of other high-risk professions like aviation. The goal of simulation-based training in surgery is to develop not only technical but team skills. This learning environment is stress-free and safe, allows standardization and tailoring of training, and also objectively evaluate performances. The development of simulation training is straightforward in endourology, since these procedures are video-assisted and the low degree of freedom of the instruments is easily replicated. On the other hand, these interventions necessitate a long learning curve, training in the operative room is especially costly and risky. Many models are already in use or under development in all fields of video-assisted urologic surgery: ureteroscopy, percutaneous surgery, transurethral resection of the prostate, and laparoscopy. Although bench models are essential, simulation increasingly benefits from the achievements and development of computer technology. Still in its infancy, virtual reality simulation will certainly belong to tomorrow's teaching tools.

A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER A CONCEPTUAL MODEL FOR EFFECTIVE DISTANCE LEARNING IN HIGHER EDUCATION

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Mehran FARAJOLLAHI

2010-07-01

Full Text Available The present research aims at presenting a conceptual model for effective distance learning in higher education. Findings of this research shows that an understanding of the technological capabilities and learning theories especially constructive theory and independent learning theory and communicative and interaction theory in Distance learning is an efficient factor in the planning of effective Distance learning in higher education. Considering the theoretical foundations of the present research, in the effective distance learning model, the learner is situated at the center of learning environment. For this purpose, the learner needs to be ready for successful learning and the teacher has to be ready to design the teaching- learning activities when they initially enter the environment. In the present model, group and individual active teaching-learning approach, timely feedback, using IT and eight types of interactions have been designed with respect to theoretical foundations and current university missions. From among the issues emphasized in this model, one can refer to the Initial, Formative and Summative evaluations. In an effective distance learning environment, evaluation should be part of the learning process and the feedback resulting from it should be used to improve learning. For validating the specified features, the opinions of Distance learning experts in Payame Noor, Shiraz, Science and Technology and Amirkabir Universities have been used which verified a high percentage of the statistical sample of the above mentioned features.

Learning classification models with soft-label information.

Science.gov (United States)

Nguyen, Quang; Valizadegan, Hamed; Hauskrecht, Milos

2014-01-01

Learning of classification models in medicine often relies on data labeled by a human expert. Since labeling of clinical data may be time-consuming, finding ways of alleviating the labeling costs is critical for our ability to automatically learn such models. In this paper we propose a new machine learning approach that is able to learn improved binary classification models more efficiently by refining the binary class information in the training phase with soft labels that reflect how strongly the human expert feels about the original class labels. Two types of methods that can learn improved binary classification models from soft labels are proposed. The first relies on probabilistic/numeric labels, the other on ordinal categorical labels. We study and demonstrate the benefits of these methods for learning an alerting model for heparin induced thrombocytopenia. The experiments are conducted on the data of 377 patient instances labeled by three different human experts. The methods are compared using the area under the receiver operating characteristic curve (AUC) score. Our AUC results show that the new approach is capable of learning classification models more efficiently compared to traditional learning methods. The improvement in AUC is most remarkable when the number of examples we learn from is small. A new classification learning framework that lets us learn from auxiliary soft-label information provided by a human expert is a promising new direction for learning classification models from expert labels, reducing the time and cost needed to label data.

ASSISTED LEARNING THROUGH FACEBOOK: A Case Study of Universitas Terbuka’s Students Group Communities In Jakarta, Taiwan And Hong Kong

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Yasir RIADY

2014-04-01

Full Text Available This paper describes and give insight about the use of Facebook to assist learning in Jakarta and several countries outside Indonesia. There are so many problems that will arise based on the factual sight such users tend to find difficulties in searching, analyzing and accessing information that they need, particularly materials in their academic life. This paper explores how social network site (Facebook has the potential to creating new resource in information and technology to assist learning in groups for finding information needs and also in distance learning system of Universitas Terbuka’s students who live in Jakarta, Taiwan and Hong Kong. Generally, most of students are working from Monday to Friday and even on Saturday and Sunday, they really have problems in having face to face tutorial or even try to get information about their academic life. This paper was conducted with several communities of Facebook groups, the result showed that they specifically used Facebook group to assist them to finish their academic life such as tasks, examination, group discussion or even information. As the most popular social network in Indonesia, Facebook which accessible, effective and efficient is one of many communities to assist students in making new friends and tutors as well as keeping in touch with information on upcoming events, competitions, seminars, library announcements, new books materials, registration, online tutorial, webinar, examination and other general information.

Correlation Between Blended Learning Model With The Perspective Of Learning Effectiveness For Nursing Student

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Susila Sumartiningsih

2015-06-01

Full Text Available ABSTRACT The learning model is one of the enabling factors that influence the achievement of students. That students have a good learning outcomes the lecturer must choose appropriate learning models. But in fact not all lecturers choose the most appropriate learning model with the demands of learning outcomes and student characteristics.The study design was descriptive quantitative correlation. Total population of 785 the number of samples are 202 were taken by purposive sampling. Techniques of data collection is done by cross-sectional and then processed through the Spearman test. The results showed no significant relationship between classroom lecture method in the context of blended learning models to study the effectiveness perspective the p value of 0.001. There is a significant relationship between e-learning methods in the context of blended learning models with perspective of activities study of nursing students the p value of 0.028. There is a significant relationship between learning model of blended learning with the perspective of nursing students learning effectiveness p value 0.167. Researchers recommend to future researchers conduct more research on the comparison between the effectiveness of the learning model based on student learning centers with the e-learning models and its impact on student achievement of learning competencies as well as to the implications for other dimensions of learning outcomes and others.

Theoretic models for recommendation and implementation of assistive technology

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Ana Cristina de Jesus Alves

2016-07-01

Full Text Available Introduction: The latest international researches seek to understand the factors affecting the successful use of assistive technology devices through studies regarding the assessments systematizing; abandonment of devices; or theoric models that consider the aspects of those devices implementation. In Brazil the researches are focused on developing new technologies and there are still not sufficient studies related to the successful use of devices and ways of assistive technology implementation. Objective: To identify conceptual models used for indication and implementation of assistive technology devices. Method: Literature review. The survey was conducted in six databases: CINAHAL, Eric, GALE, LILACS, MEDLINE e PsycInfo. A critical analysis described by Grant and Booth was used. Results: There are no records of a Brazilian survey and among 29 selected articles, 17 conceptual models used in the area of AT were found; of these, 14 were specific to AT. The results showed that the new conceptual models of TA are under development and the conceptual model “Matching Person and Technology – MPT” was the most mentioned. Conclusion: We can observe that the practices related to TA area in international context shows a correlation with conceptual models, thus, we hope this study might have the capacity to contribute for the propagation of this precepts at national level

The Effects of a Computer-Assisted Teaching Material, Designed According to the ASSURE Instructional Design and the ARCS Model of Motivation, on Students’ Achievement Levels in a Mathematics Lesson and Their Resulting Attitudes

OpenAIRE

Hilal Karakış; Ayşen Karamete; Aydın Okçu

2016-01-01

This study examined the effects that computer-assisted instruction had on students’ attitudes toward a mathematics lesson and toward learning mathematics with computer-assisted instruction. The computer software we used was based on the ASSURE Instructional Systems Design and the ARCS Model of Motivation, and the software was designed to teach fractions to fourth-grade students. The skill levels of these students were gauged before and after receiving the computer-assisted instruction. We str...

Students’ mathematical learning in modelling activities

DEFF Research Database (Denmark)

Kjeldsen, Tinne Hoff; Blomhøj, Morten

2013-01-01

Ten years of experience with analyses of students’ learning in a modelling course for first year university students, led us to see modelling as a didactical activity with the dual goal of developing students’ modelling competency and enhancing their conceptual learning of mathematical concepts i...... create and help overcome hidden cognitive conflicts in students’ understanding; that reflections within modelling can play an important role for the students’ learning of mathematics. These findings are illustrated with a modelling project concerning the world population....

Integrated Model for E-Learning Acceptance

Science.gov (United States)

Ramadiani; Rodziah, A.; Hasan, S. M.; Rusli, A.; Noraini, C.

2016-01-01

E-learning is not going to work if the system is not used in accordance with user needs. User Interface is very important to encourage using the application. Many theories had discuss about user interface usability evaluation and technology acceptance separately, actually why we do not make it correlation between interface usability evaluation and user acceptance to enhance e-learning process. Therefore, the evaluation model for e-learning interface acceptance is considered important to investigate. The aim of this study is to propose the integrated e-learning user interface acceptance evaluation model. This model was combined some theories of e-learning interface measurement such as, user learning style, usability evaluation, and the user benefit. We formulated in constructive questionnaires which were shared at 125 English Language School (ELS) students. This research statistics used Structural Equation Model using LISREL v8.80 and MANOVA analysis.

Vicarious learning from human models in monkeys.

Science.gov (United States)

Falcone, Rossella; Brunamonti, Emiliano; Genovesio, Aldo

2012-01-01

We examined whether monkeys can learn by observing a human model, through vicarious learning. Two monkeys observed a human model demonstrating an object-reward association and consuming food found underneath an object. The monkeys observed human models as they solved more than 30 learning problems. For each problem, the human models made a choice between two objects, one of which concealed a piece of apple. In the test phase afterwards, the monkeys made a choice of their own. Learning was apparent from the first trial of the test phase, confirming the ability of monkeys to learn by vicarious observation of human models.

Penerapan Technology Acceptance Model Terhadap Penerimaan Pengguna Akhir E-learning STMIK STIKOM Bali

OpenAIRE

Shandyastini, Ni Made; Pradnyani Novianti, Kadek Dwi

2017-01-01

E-learning allows students of STMIK STIKOM Bali to keep learning even though physically absent or unable to attend when the learning process going on in the classroom. The utilization of e-learning can also make the development a high learning flexibility. The perception of the user in this case is a student will be indispensable in order to assist the utilization of e-learning optimally. The goal of this research will examine about admissions in the utilization of e-learning used in STMIK ST...

Toward A Dual-Learning Systems Model of Speech Category Learning

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Bharath eChandrasekaran

2014-07-01

Full Text Available More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in auditory category learning and more specifically in speech category learning has not been systematically examined. In this article we describe a neurobiologically-constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. We find an age related deficit in reflective-optimal but not reflexive-optimal auditory category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, uni-dimensional rules to more complex, reflexive, multi-dimensional rules. In a second application we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions.

An Investigation of the Compensatory Effectiveness of Assistive Technology on Postsecondary Students with Learning Disabilities. Final Report.

Science.gov (United States)

Murphy, Harry; Higgins, Eleanor

This final report describes the activities and accomplishments of a 3-year study on the compensatory effectiveness of three assistive technologies, optical character recognition, speech synthesis, and speech recognition, on postsecondary students (N=140) with learning disabilities. These technologies were investigated relative to: (1) immediate…

A multiplicative reinforcement learning model capturing learning dynamics and interindividual variability in mice

OpenAIRE

Bathellier, Brice; Tee, Sui Poh; Hrovat, Christina; Rumpel, Simon

2013-01-01

Learning speed can strongly differ across individuals. This is seen in humans and animals. Here, we measured learning speed in mice performing a discrimination task and developed a theoretical model based on the reinforcement learning framework to account for differences between individual mice. We found that, when using a multiplicative learning rule, the starting connectivity values of the model strongly determine the shape of learning curves. This is in contrast to current learning models ...

Problem Solving Model for Science Learning

Science.gov (United States)

Alberida, H.; Lufri; Festiyed; Barlian, E.

2018-04-01

This research aims to develop problem solving model for science learning in junior high school. The learning model was developed using the ADDIE model. An analysis phase includes curriculum analysis, analysis of students of SMP Kota Padang, analysis of SMP science teachers, learning analysis, as well as the literature review. The design phase includes product planning a science-learning problem-solving model, which consists of syntax, reaction principle, social system, support system, instructional impact and support. Implementation of problem-solving model in science learning to improve students' science process skills. The development stage consists of three steps: a) designing a prototype, b) performing a formative evaluation and c) a prototype revision. Implementation stage is done through a limited trial. A limited trial was conducted on 24 and 26 August 2015 in Class VII 2 SMPN 12 Padang. The evaluation phase was conducted in the form of experiments at SMPN 1 Padang, SMPN 12 Padang and SMP National Padang. Based on the development research done, the syntax model problem solving for science learning at junior high school consists of the introduction, observation, initial problems, data collection, data organization, data analysis/generalization, and communicating.

Learning Markov Decision Processes for Model Checking

DEFF Research Database (Denmark)

Mao, Hua; Chen, Yingke; Jaeger, Manfred

2012-01-01

. The proposed learning algorithm is adapted from algorithms for learning deterministic probabilistic finite automata, and extended to include both probabilistic and nondeterministic transitions. The algorithm is empirically analyzed and evaluated by learning system models of slot machines. The evaluation......Constructing an accurate system model for formal model verification can be both resource demanding and time-consuming. To alleviate this shortcoming, algorithms have been proposed for automatically learning system models based on observed system behaviors. In this paper we extend the algorithm...... on learning probabilistic automata to reactive systems, where the observed system behavior is in the form of alternating sequences of inputs and outputs. We propose an algorithm for automatically learning a deterministic labeled Markov decision process model from the observed behavior of a reactive system...

Peer-to-Peer Learning and the Army Learning Model

Science.gov (United States)

2012-06-08

education will be delivered to the current and future force. This thesis examined the salient areas proposed by the ALM and its impact on P2P learning ...The Army Learning Model is the new educational model that develops adaptive leaders in an era of persistent conflict. Life-long, individual

Algerian EFL University Teachers' Attitudes towards Computer Assisted Language Learning: The Case of Djilali Liabes University

Science.gov (United States)

Bouchefra, Miloud; Baghoussi, Meriem

2017-01-01

Computer Assisted Language Learning (CALL) is still groping its way into Algerian English as a Foreign Language (EFL) classroom, where Information Communications Technologies (ICTs) are defined in terms of occasional use of computers and data projectors for material presentation in the classroom. Though major issues in the image of the lack of…

The Identification, Implementation, and Evaluation of Critical User Interface Design Features of Computer-Assisted Instruction Programs in Mathematics for Students with Learning Disabilities

Science.gov (United States)

Seo, You-Jin; Woo, Honguk

2010-01-01

Critical user interface design features of computer-assisted instruction programs in mathematics for students with learning disabilities and corresponding implementation guidelines were identified in this study. Based on the identified features and guidelines, a multimedia computer-assisted instruction program, "Math Explorer", which delivers…

Model-observer similarity, error modeling and social learning in rhesus macaques.

Directory of Open Access Journals (Sweden)

Elisabetta Monfardini

Full Text Available Monkeys readily learn to discriminate between rewarded and unrewarded items or actions by observing their conspecifics. However, they do not systematically learn from humans. Understanding what makes human-to-monkey transmission of knowledge work or fail could help identify mediators and moderators of social learning that operate regardless of language or culture, and transcend inter-species differences. Do monkeys fail to learn when human models show a behavior too dissimilar from the animals' own, or when they show a faultless performance devoid of error? To address this question, six rhesus macaques trained to find which object within a pair concealed a food reward were successively tested with three models: a familiar conspecific, a 'stimulus-enhancing' human actively drawing the animal's attention to one object of the pair without actually performing the task, and a 'monkey-like' human performing the task in the same way as the monkey model did. Reward was manipulated to ensure that all models showed equal proportions of errors and successes. The 'monkey-like' human model improved the animals' subsequent object discrimination learning as much as a conspecific did, whereas the 'stimulus-enhancing' human model tended on the contrary to retard learning. Modeling errors rather than successes optimized learning from the monkey and 'monkey-like' models, while exacerbating the adverse effect of the 'stimulus-enhancing' model. These findings identify error modeling as a moderator of social learning in monkeys that amplifies the models' influence, whether beneficial or detrimental. By contrast, model-observer similarity in behavior emerged as a mediator of social learning, that is, a prerequisite for a model to work in the first place. The latter finding suggests that, as preverbal infants, macaques need to perceive the model as 'like-me' and that, once this condition is fulfilled, any agent can become an effective model.

Virtual modeling of robot-assisted manipulations in abdominal surgery.

Science.gov (United States)

Berelavichus, Stanislav V; Karmazanovsky, Grigory G; Shirokov, Vadim S; Kubyshkin, Valeriy A; Kriger, Andrey G; Kondratyev, Evgeny V; Zakharova, Olga P

2012-06-27

To determine the effectiveness of using multidetector computed tomography (MDCT) data in preoperative planning of robot-assisted surgery. Fourteen patients indicated for surgery underwent MDCT using 64 and 256-slice MDCT. Before the examination, a specially constructed navigation net was placed on the patient's anterior abdominal wall. Processing of MDCT data was performed on a Brilliance Workspace 4 (Philips). Virtual vectors that imitate robotic and assistant ports were placed on the anterior abdominal wall of the 3D model of the patient, considering the individual anatomy of the patient and the technical capabilities of robotic arms. Sites for location of the ports were directed by projection on the roentgen-positive tags of the navigation net. There were no complications observed during surgery or in the post-operative period. We were able to reduce robotic arm interference during surgery. The surgical area was optimal for robotic and assistant manipulators without any need for reinstallation of the trocars. This method allows modeling of the main steps in robot-assisted intervention, optimizing operation of the manipulator and lowering the risk of injuries to internal organs.

Vicarious learning from human models in monkeys.

Directory of Open Access Journals (Sweden)

Rossella Falcone

Full Text Available We examined whether monkeys can learn by observing a human model, through vicarious learning. Two monkeys observed a human model demonstrating an object-reward association and consuming food found underneath an object. The monkeys observed human models as they solved more than 30 learning problems. For each problem, the human models made a choice between two objects, one of which concealed a piece of apple. In the test phase afterwards, the monkeys made a choice of their own. Learning was apparent from the first trial of the test phase, confirming the ability of monkeys to learn by vicarious observation of human models.

Influence Model Assisted Learning Cycle Mind Map to Achievement Physics Laboratory Judging from the performance Grade VIII SMPN 1 Rejoso Pasuruan

OpenAIRE

Ary Analisa Rahma

2014-01-01

Pengaruh Model Siklus Belajar Berbantuan Mind Map terhadap Prestasi Belajar Fisika Ditinjau dari Kinerja Laboratorium Siswa Kelas VIII SMPN 1 Rejoso Kabupaten Pasuruan Abstract: This study aimed to examine the effect of the learning cycle models aided the mind map on the learning achievement in terms of the performance of laboratory physics class VIII student on light material in SMP Negeri 1 Rejoso Pasuruan. This study is a quasi-experimental research. The research design used is a 2 x 2...

Effect of student engagement on multimedia-assisted instruction

Directory of Open Access Journals (Sweden)

Hsiu-Ping Yueh

2012-09-01

Full Text Available This study applied multimedia in a general engineering and technology course in Taiwan and evaluated the effectiveness of multimedia-assisted instruction and learning. The course presented trends in technological development and the achievements of Taiwanese industries and research institutes from a historical perspective, and overviewed the technology industries and industrial transformation development in Taiwan. The course units adopted multimedia to support class teaching and student learning, and a survey was conducted to collect students’ attitudes and perception toward multimedia-assisted instruction and learning in the course. Research data were collected from 45 male and 9 female students with varied academic and cultural backgrounds. Results showed that multimedia videos help raise students’ awareness of learning issues, improve their understanding of content, and increase the depth of their learning. Almost all students liked the approach of using multimedia to assist teaching and learning, preferring this approach over traditional lecture-based instruction. They also would recommend this course to their peers. This study also found that the degree of students’ engagement caused variance in the students’ perception of multimedia helpfulness in assisting their learning. Finally, this study further proposes suggestions in both design and research on applications of multimedia-enhanced learning in engineering and technology education.

Learning in AN Oscillatory Cortical Model

Science.gov (United States)

Scarpetta, Silvia; Li, Zhaoping; Hertz, John

We study a model of generalized-Hebbian learning in asymmetric oscillatory neural networks modeling cortical areas such as hippocampus and olfactory cortex. The learning rule is based on the synaptic plasticity observed experimentally, in particular long-term potentiation and long-term depression of the synaptic efficacies depending on the relative timing of the pre- and postsynaptic activities during learning. The learned memory or representational states can be encoded by both the amplitude and the phase patterns of the oscillating neural populations, enabling more efficient and robust information coding than in conventional models of associative memory or input representation. Depending on the class of nonlinearity of the activation function, the model can function as an associative memory for oscillatory patterns (nonlinearity of class II) or can generalize from or interpolate between the learned states, appropriate for the function of input representation (nonlinearity of class I). In the former case, simulations of the model exhibits a first order transition between the "disordered state" and the "ordered" memory state.

A Healing Space: The Experiences of First Nations and Inuit Youth with Equine-Assisted Learning (EAL)

Science.gov (United States)

Dell, Colleen Anne; Chalmers, Darlene; Bresette, Nora; Swain, Sue; Rankin, Deb; Hopkins, Carol

2011-01-01

The Nimkee NupiGawagan Healing Centre (NNHC) in Muncey, ON provides residential treatment to First Nations and Inuit youth who abuse solvents. As a complement to its culture-based programming, in 2008 the centre began offering weekly equine-assisted learning (EAL) curriculum to its clients in partnership with the Keystone Equine Centre and the…

EFFECTS OF INQUIRY TRAINING LEARNING MODEL BASED MULTIMEDIA AND MOTIVATION OF PHYSICS STUDENT LEARNING OUTCOMES

OpenAIRE

Hayati .; Retno Dwi Suyanti

2013-01-01

The objective in this research: (1) Determine a better learning model to improve learning outcomes physics students among learning model Inquiry Training based multimedia and Inquiry Training learning model. (2) Determine the level of motivation to learn in affects physics student learning outcomes. (3) Knowing the interactions between the model of learning and motivation in influencing student learning outcomes. This research is a quasi experimental. The population in this research was all s...

EFFECTS OF INQUIRY TRAINING LEARNING MODEL BASED MULTIMEDIA AND MOTIVATION OF PHYSICS STUDENT LEARNING OUTCOMES

Directory of Open Access Journals (Sweden)

Hayati .

2013-06-01

Full Text Available The objective in this research: (1 Determine a better learning model to improve learning outcomes physics students among learning model Inquiry Training based multimedia and Inquiry Training learning model. (2 Determine the level of motivation to learn in affects physics student learning outcomes. (3 Knowing the interactions between the model of learning and motivation in influencing student learning outcomes. This research is a quasi experimental. The population in this research was all students in class XI SMA Negeri 1 T.P Sunggal Semester I 2012/2013. The sample of this research was consisted of two classes with a sample of 70 peoples who are determined by purposive sampling, the IPA XI-2 as a class experiment using a model-based multimedia learning Training Inquiry as many as 35 peoples and XI IPA-3 as a control class using learning model Inquiry Training 35 peoples. Hypotheses were analyzed using the GLM at significant level of 0.05 using SPSS 17.0 for Windows. Based on data analysis and hypothesis testing conducted found that: (1 Training Inquiry-based multimedia learning model in improving student learning outcomes rather than learning model physics Inquiry Training. (2 The results of studying physics students who have high motivation to learn better than students who have a low learning motivation. (3 From this research there was an interaction between learning model inquiry-based multimedia training and motivation to study on learning outcomes of students.

Implications of Multimodal Learning Models for foreign language teaching and learning

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Miguel Farías

2011-04-01

Full Text Available This literature review article approaches the topic of information and communications technologies from the perspective of their impact on the language learning process, with particular emphasis on the most appropriate designs of multimodal texts as informed by models of multimodal learning. The first part contextualizes multimodality within the fields of discourse studies, the psychology of learning and CALL; the second, deals with multimodal conceptions of reading and writing by discussing hypertextuality and literacy. A final section outlines the possible implications of multimodal learning models for foreign language teaching and learning.

Application-Driven Educational Game to Assist Young Children in Learning English Vocabulary

Science.gov (United States)

Chen, Zhi-Hong; Lee, Shu-Yu

2018-01-01

This paper describes the development of an educational game, named My-Pet-Shop, to enhance young children's learning of English vocabulary. The educational game is underpinned by an application-driven model, which consists of three components: application scenario, subject learning, and learning regulation. An empirical study is further conducted…

Surface Modeling, Solid Modeling and Finite Element Modeling. Analysis Capabilities of Computer-Assisted Design and Manufacturing Systems.

Science.gov (United States)

Nee, John G.; Kare, Audhut P.

1987-01-01

Explores several concepts in computer assisted design/computer assisted manufacturing (CAD/CAM). Defines, evaluates, reviews and compares advanced computer-aided geometric modeling and analysis techniques. Presents the results of a survey to establish the capabilities of minicomputer based-systems with the CAD/CAM packages evaluated. (CW)

Vicarious Learning from Human Models in Monkeys

OpenAIRE

Falcone, Rossella; Brunamonti, Emiliano; Genovesio, Aldo

2012-01-01

We examined whether monkeys can learn by observing a human model, through vicarious learning. Two monkeys observed a human model demonstrating an object-reward association and consuming food found underneath an object. The monkeys observed human models as they solved more than 30 learning problems. For each problem, the human models made a choice between two objects, one of which concealed a piece of apple. In the test phase afterwards, the monkeys made a choice of their own. Learning was app...

Meningkatkan Hasil Belajar Listrik Dinamik menggunakan Strategi Pembelajaran Team Assisted Individualization melalui Simulasi Crocodile Physics

Directory of Open Access Journals (Sweden)

Ahmad Gumrowi

2016-04-01

through physics crocodile simulation. This study was conducted in three cycles. The results of analysis show that cooperative learning strategies type Team Assisted Individualization through crocodile physics simulations can improve learning outcomes on dynamic electricity. The average of students’ learning outcomes increased as follows: the first cycle is 61.23, and 68.13 in the second cycle, an increase of 11.27%, and the third cycle result is 72.63, or an increase of 6.6%. Penelitian ini bertujuan untuk meningkatkan hasil belajar listrik dinamik siswa MAN 1 Bandar Lampung dengan menggunakan model pembelajaran kooperatif tipe Team Assisted Individualization (TAI. melalui simulasi Crocodile physics. Objek penelitian ini adalah hasil belajar siswa pada pokok bahasan listrik dinamik dengan model pembelajaran kooperatif Tipe TAI (team assisted individualization melalui simulasi Crocodile physics. Penelitian ini dilaksanakan selama tiga siklus, dari hasil analisis diperoleh bahwa strategi pembelajaran kooperatif tipe Team Assisted Individualization melalui simulasi crocodile physics dapat meningkatkan hasil belajar listrik dinamik. Rata-rata hasil belajar siswa meningkat pada siklus I dari 61,23 menjadi 68,13 pada siklus II atau meningkat 11,27%, pada siklus III 72,63 atau meningkat 6,6% Kata Kunci: cooperatif tipe TAI, listrik dinamik, simulasi crocodile physics

Model-assisted template extraction SRAF application to contact holes patterns in high-end flash memory device fabrication

Science.gov (United States)

Seoud, Ahmed; Kim, Juhwan; Ma, Yuansheng; Jayaram, Srividya; Hong, Le; Chae, Gyu-Yeol; Lee, Jeong-Woo; Park, Dae-Jin; Yune, Hyoung-Soon; Oh, Se-Young; Park, Chan-Ha

2018-03-01

Sub-resolution assist feature (SRAF) insertion techniques have been effectively used for a long time now to increase process latitude in the lithography patterning process. Rule-based SRAF and model-based SRAF are complementary solutions, and each has its own benefits, depending on the objectives of applications and the criticality of the impact on manufacturing yield, efficiency, and productivity. Rule-based SRAF provides superior geometric output consistency and faster runtime performance, but the associated recipe development time can be of concern. Model-based SRAF provides better coverage for more complicated pattern structures in terms of shapes and sizes, with considerably less time required for recipe development, although consistency and performance may be impacted. In this paper, we introduce a new model-assisted template extraction (MATE) SRAF solution, which employs decision tree learning in a model-based solution to provide the benefits of both rule-based and model-based SRAF insertion approaches. The MATE solution is designed to automate the creation of rules/templates for SRAF insertion, and is based on the SRAF placement predicted by model-based solutions. The MATE SRAF recipe provides optimum lithographic quality in relation to various manufacturing aspects in a very short time, compared to traditional methods of rule optimization. Experiments were done using memory device pattern layouts to compare the MATE solution to existing model-based SRAF and pixelated SRAF approaches, based on lithographic process window quality, runtime performance, and geometric output consistency.

Constructing first-principles phase diagrams of amorphous LixSi using machine-learning-assisted sampling with an evolutionary algorithm

Science.gov (United States)

Artrith, Nongnuch; Urban, Alexander; Ceder, Gerbrand

2018-06-01

The atomistic modeling of amorphous materials requires structure sizes and sampling statistics that are challenging to achieve with first-principles methods. Here, we propose a methodology to speed up the sampling of amorphous and disordered materials using a combination of a genetic algorithm and a specialized machine-learning potential based on artificial neural networks (ANNs). We show for the example of the amorphous LiSi alloy that around 1000 first-principles calculations are sufficient for the ANN-potential assisted sampling of low-energy atomic configurations in the entire amorphous LixSi phase space. The obtained phase diagram is validated by comparison with the results from an extensive sampling of LixSi configurations using molecular dynamics simulations and a general ANN potential trained to ˜45 000 first-principles calculations. This demonstrates the utility of the approach for the first-principles modeling of amorphous materials.

An action-learning model to assist Circuit Teams to support School ...

African Journals Online (AJOL)

EAOSA

2016-11-17

Nov 17, 2016 ... development of both School Management Teams and Circuit Team members. ... achieve excellence in teaching and learning (Department of Basic Education, ... indicate that support to schools, particularly rural and historically disadvantaged schools, ... promote sustainable change and enhanced academic.

The Effect of Cooperative Learning Model and Kolb Learning Styles on Learning Result of the Basics of Politics

Science.gov (United States)

Sugiharto

2015-01-01

The aims of this research were to determine the effect of cooperative learning model and learning styles on learning result. This quasi-experimental study employed a 2x2 treatment by level, involved independent variables, i.e. cooperative learning model and learning styles, and learning result as the dependent variable. Findings signify that: (1)…

Interprofessional peer-assisted learning as a low-threshold course for joint learning: Evaluation results of the interTUT Project.

Science.gov (United States)

Reichel, Kathrin; Dietsche, Stefan; Hölzer, Henrike; Ewers, Michael

2016-01-01

The delivery of needs-based health care services requires a team-based and collaborative approach of different health professionals, which is not yet sufficienctliy implemented on a day to day basis. Interprofessional learning activities aim to respond to this in future. The cross-university pilot project interTUT used peer-assisted learning approaches and extracurricular tutorials in order address this issue. During the pilot phase, eight students and trainees have been acquired. Together, they prepared and led four extracurricular tutorials on core topics of interprofessional cooperation and documented them in procedure manuals. The course was evaluated using a standardized participant survey (n=72) and two focus groups (n=3, n=5) in which participants were asked to reflect on their individual learning experiences. Descriptive statistics were used to analyze the survey data and the focus group material was interpreted using qualitative content analysis. The results indicated a high level of satisfaction, acceptance of and further demand for peer-supported learning activities. The students and trainees reported changed attitudes and subjective knowledge growth regarding the other professional groups. The constructive learning atmosphere as well as having access to a forum for interprofessional exchange were equally valued. Extracurricular tutorials offer a low-threshold and very promising point of contact for the facilitation of interprofessional teaching and learning. However, this should be viewed against the background that, as part of the pilot project, only a small number of students and trainees who were already interested in the topic could be reached by this optional course. A comprehensive, long-term trial of this teaching and learning format, its linkage to curricular courses, and further research on its education-specific and practice-related effects are, therefore, necessary.

Changing the attitudes and practices of professional developers through a constructivist model: The Technical Assistance Academy for Mathematics and Science Services

Science.gov (United States)

Charles, Karen Jungblut

For much of this century, mathematics and science have been taught in a didactic manner that is characterized by a passive student and a lecturing teacher. Since the late eighties national standards have encouraged professional developers specializing in mathematics and science education to deliver the messages of inquiry-based learning, active student engagement, and learner-constructed knowledge to the teachers they support. Follow-up studies of professional development programs, however, found that telling teachers was no more effective than telling students. Information transmitted in a passive setting was not transferring into effective classroom practices. This phenomenological case study was conducted to determine the effects of a constructivist-oriented professional development experience, the Technical Assistance Academy, in changing the practices and attitudes of mathematics and science professional developers regarding the use of constructivist strategies in workshop design. This study focused on 45 professional developers who participated in the Technical Assistance Academy. Data from a 2 1/2 year period were collected from session evaluations, journal reflections, a follow-up interview, and site visits that included observations and collaborative planning. Content analysis procedures were used to find common themes among the data. Use of new skills developed as a result of participation in the Technical Assistance Academy was determined using the Concerns-Based Adoption Model Levels of Use framework (Hall & Hord, 1987). Changes in attitude were determined by examining participants' journal reflections related to common constructivist themes such as those discussed by Fosnot (1996c): learning is developmental, disequilibrium and reflection facilitate learning, and the construction of "big ideas" results from the opportunity to struggle with new information. Results verified that all 45 participants demonstrated some level of use, and that most were in

The Impact of Computer Assisted Instruction As It Relates to Learning Disabled Adults in California Community Colleges.

Science.gov (United States)

Brower, Mary Jo

A study was conducted to determine the advantages and disadvantages of using computer-assisted instruction (CAI) with learning disabled (LD) adults attending California community colleges. A questionnaire survey of the directors of the LD programs solicited information on the availability of CAI for LD adults, methods of course advertisement,…

Text-to-audiovisual speech synthesizer for children with learning disabilities.

Science.gov (United States)

Mendi, Engin; Bayrak, Coskun

2013-01-01

Learning disabilities affect the ability of children to learn, despite their having normal intelligence. Assistive tools can highly increase functional capabilities of children with learning disorders such as writing, reading, or listening. In this article, we describe a text-to-audiovisual synthesizer that can serve as an assistive tool for such children. The system automatically converts an input text to audiovisual speech, providing synchronization of the head, eye, and lip movements of the three-dimensional face model with appropriate facial expressions and word flow of the text. The proposed system can enhance speech perception and help children having learning deficits to improve their chances of success.

Medical Students Teaching Medical Students Surgical Skills: The Benefits of Peer-Assisted Learning.

Science.gov (United States)

Bennett, Samuel Robert; Morris, Simon Rhys; Mirza, Salman

2018-04-10

Teaching surgical skills is a labor intensive process, requiring a high tutor to student ratio for optimal success, and teaching for undergraduate students by consultant surgeons is not always feasible. A surgical skills course was developed, with the aim of assessing the effectiveness of undergraduate surgical peer-assisted learning. Five surgical skills courses were conducted looking at eight domains in surgery, led by foundation year doctors and senior medical students, with a tutor to student ratio of 1:4. Precourse and postcourse questionnaires (Likert scales 0-10) were completed. Mean scores were compared precourse and postcourse. Surgical skills courses took place within clinical skills rooms in the Queen Elizabeth Hospital Birmingham (UK). Seventy students (59 medical, 2 dental, and 9 physician associate students) from a range of academic institutions across the UK completed the course. There was an overall increase in mean scores across all eight domains. Mean improvement score precourse and postcourse in WHO surgical safety checklist (+3.94), scrubbing (+2.99), gowning/gloving (+3.34), knot tying (+5.53), interrupted sutures (+5.89), continuous sutures (+6.53), vertical mattress sutures (+6.46), and local anesthesia (+3.73). Peer-assisted learning is an effective and feasible method for teaching surgical skills in a controlled environment, subsequently improving confidence among healthcare undergraduates. Such teaching may provide the basis for feasibly mass-producing surgical skills courses for healthcare students. Copyright © 2018 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

CARS 2008: Computer Assisted Radiology and Surgery. Proceedings

Energy Technology Data Exchange (ETDEWEB)

NONE

2008-06-15

The proceedings contain contributions to the following topics: digital imaging, computed tomography, magnetic resonance, cardiac and vascular imaging, computer assisted radiation therapy, image processing and display, minimal invasive spinal surgery, computer assisted treatment of the prostate, the interventional radiology suite of the future, interventional oncology, computer assisted neurosurgery, computer assisted head and neck and ENT surgery, cardiovascular surgery, computer assisted orthopedic surgery, image processing and visualization, surgical robotics, instrumentation and navigation, surgical modelling, simulation and education, endoscopy and related techniques, workflow and new concepts in surgery, research training group 1126: intelligent surgery, digital operating room, image distribution and integration strategies, regional PACS and telemedicine, PACS - beyond radiology and E-learning, workflow and standardization, breast CAD, thoracic CAD, abdominal CAD, brain CAD, orthodontics, dentofacial orthopedics and airways, imaging and treating temporomandibular joint conditions, maxillofacial cone beam CT, craniomaxillofacial image fusion and CBCT incidental findings, image guided craniomaxillofacial procedures, imaging as a biomarker for therapy response, computer aided diagnosis. The Poster sessions cover the topics computer aided surgery, Euro PACS meeting, computer assisted radiology, computer aided diagnosis and computer assisted radiology and surgery.

CARS 2008: Computer Assisted Radiology and Surgery. Proceedings

International Nuclear Information System (INIS)

2008-01-01

The proceedings contain contributions to the following topics: digital imaging, computed tomography, magnetic resonance, cardiac and vascular imaging, computer assisted radiation therapy, image processing and display, minimal invasive spinal surgery, computer assisted treatment of the prostate, the interventional radiology suite of the future, interventional oncology, computer assisted neurosurgery, computer assisted head and neck and ENT surgery, cardiovascular surgery, computer assisted orthopedic surgery, image processing and visualization, surgical robotics, instrumentation and navigation, surgical modelling, simulation and education, endoscopy and related techniques, workflow and new concepts in surgery, research training group 1126: intelligent surgery, digital operating room, image distribution and integration strategies, regional PACS and telemedicine, PACS - beyond radiology and E-learning, workflow and standardization, breast CAD, thoracic CAD, abdominal CAD, brain CAD, orthodontics, dentofacial orthopedics and airways, imaging and treating temporomandibular joint conditions, maxillofacial cone beam CT, craniomaxillofacial image fusion and CBCT incidental findings, image guided craniomaxillofacial procedures, imaging as a biomarker for therapy response, computer aided diagnosis. The Poster sessions cover the topics computer aided surgery, Euro PACS meeting, computer assisted radiology, computer aided diagnosis and computer assisted radiology and surgery

Learning Markov models for stationary system behaviors

DEFF Research Database (Denmark)

Chen, Yingke; Mao, Hua; Jaeger, Manfred

2012-01-01

to a single long observation sequence, and in these situations existing automatic learning methods cannot be applied. In this paper, we adapt algorithms for learning variable order Markov chains from a single observation sequence of a target system, so that stationary system properties can be verified using......Establishing an accurate model for formal verification of an existing hardware or software system is often a manual process that is both time consuming and resource demanding. In order to ease the model construction phase, methods have recently been proposed for automatically learning accurate...... the learned model. Experiments demonstrate that system properties (formulated as stationary probabilities of LTL formulas) can be reliably identified using the learned model....

Computer-assisted learning in anatomy at the international medical school in Debrecen, Hungary: a preliminary report.

Science.gov (United States)

Kish, Gary; Cook, Samuel A; Kis, Gréta

2013-01-01

The University of Debrecen's Faculty of Medicine has an international, multilingual student population with anatomy courses taught in English to all but Hungarian students. An elective computer-assisted gross anatomy course, the Computer Human Anatomy (CHA), has been taught in English at the Anatomy Department since 2008. This course focuses on an introduction to anatomical digital images along with clinical cases. This low-budget course has a large visual component using images from magnetic resonance imaging and computer axial tomogram scans, ultrasound clinical studies, and readily available anatomy software that presents topics which run in parallel to the university's core anatomy curriculum. From the combined computer images and CHA lecture information, students are asked to solve computer-based clinical anatomy problems in the CHA computer laboratory. A statistical comparison was undertaken of core anatomy oral examination performances of English program first-year medical students who took the elective CHA course and those who did not in the three academic years 2007-2008, 2008-2009, and 2009-2010. The results of this study indicate that the CHA-enrolled students improved their performance on required anatomy core curriculum oral examinations (P computer-assisted learning may play an active role in anatomy curriculum improvement. These preliminary results have prompted ongoing evaluation of what specific aspects of CHA are valuable and which students benefit from computer-assisted learning in a multilingual and diverse cultural environment. Copyright © 2012 American Association of Anatomists.

An Assistive Computerized System with Tangible User Interfaces for Children with Moderate Intellectual and Learning Disabilities

Directory of Open Access Journals (Sweden)

Jihad Mohamad Aljaam

2011-05-01

Full Text Available In this paper we propose an assistive learning system for children with moderate intellectual and learning disabilities that supports collaboration, data exploration, communication and creativity. The system offers a wide range of tutorials on basic concepts of elementary sciences with some edutainment games and puzzles based on different tangible user interfaces TUIs. The system can enhance the communications, memorization, reasoning and learning capabilities of the children with special needs. The tutorials contain multimedia elements that help the children understand effectively the topics and allow them to interact and be more proactive. An assessment component is developed to evaluate the children understanding. Parents are actively involved in the learning process by being able to add or customize contents specific to their children. The children can use the TUIs alone and get prompted on all the steps to perform some daily activities like the school day activity, the tooth brushing activity, etc. This will increase their self-reliance and self-dependence.

Template model inspired leg force feedback based control can assist human walking.

Science.gov (United States)

Zhao, Guoping; Sharbafi, Maziar; Vlutters, Mark; van Asseldonk, Edwin; Seyfarth, Andre

2017-07-01

We present a novel control approach for assistive lower-extremity exoskeletons. In particular, we implement a virtual pivot point (VPP) template model inspired leg force feedback based controller on a lower-extremity powered exoskeleton (LOPES II) and demonstrate that it can effectively assist humans during walking. It has been shown that the VPP template model is capable of stabilizing the trunk and reproduce a human-like hip torque during the stance phase of walking. With leg force and joint angle feedback inspired by the VPP template model, our controller provides hip and knee torque assistance during the stance phase. A pilot experiment was conducted with four healthy subjects. Joint kinematics, leg muscle electromyography (EMG), and metabolic cost were measured during walking with and without assistance. Results show that, for 0.6 m/s walking, our controller can reduce leg muscle activations, especially for the medial gastrocnemius (about 16.0%), while hip and knee joint kinematics remain similar to the condition without the controller. Besides, the controller also reduces 10% of the net metabolic cost during walking. This paper demonstrates walking assistance benefits of the VPP template model for the first time. The support of human walking is achieved by a force feedback of leg force applied to the control of hip and knee joints. It can help us to provide a framework for investigating walking assistance control in the future.

[Mathematical models of decision making and learning].

Science.gov (United States)

Ito, Makoto; Doya, Kenji

2008-07-01

Computational models of reinforcement learning have recently been applied to analysis of brain imaging and neural recording data to identity neural correlates of specific processes of decision making, such as valuation of action candidates and parameters of value learning. However, for such model-based analysis paradigms, selecting an appropriate model is crucial. In this study we analyze the process of choice learning in rats using stochastic rewards. We show that "Q-learning," which is a standard reinforcement learning algorithm, does not adequately reflect the features of choice behaviors. Thus, we propose a generalized reinforcement learning (GRL) algorithm that incorporates the negative reward effect of reward loss and forgetting of values of actions not chosen. Using the Bayesian estimation method for time-varying parameters, we demonstrated that the GRL algorithm can predict an animal's choice behaviors as efficiently as the best Markov model. The results suggest the usefulness of the GRL for the model-based analysis of neural processes involved in decision making.

Are All Hands-On Activities Equally Effective? Effect of Using Plastic Models, Organ Dissections, and Virtual Dissections on Student Learning and Perceptions

Science.gov (United States)

Lombardi, Sara A.; Hicks, Reimi E.; Thompson, Katerina V.; Marbach-Ad, Gili

2014-01-01

This study investigated the impact of three commonly used cardiovascular model-assisted activities on student learning and student attitudes and perspectives about science. College students enrolled in a Human Anatomy and Physiology course were randomly assigned to one of three experimental groups (organ dissections, virtual dissections, or…

Validating a Computer-Assisted Language Learning Attitude Instrument Used in Iranian EFL Context: An Evidence-Based Approach

Science.gov (United States)

Aryadoust, Vahid; Mehran, Parisa; Alizadeh, Mehrasa

2016-01-01

A few computer-assisted language learning (CALL) instruments have been developed in Iran to measure EFL (English as a foreign language) learners' attitude toward CALL. However, these instruments have no solid validity argument and accordingly would be unable to provide a reliable measurement of attitude. The present study aimed to develop a CALL…

The Effect of ICT Assisted Project Based Learning Approach on Prospective ICT Integration Skills of Teacher Candidates

Science.gov (United States)

Pilten, Pusat; Pilten, Gulhiz; Sahinkaya, Nihan

2017-01-01

The purpose of the present research is studying the effects of information and communication technologies (ICT) assisted project based learning practices on ICT integration skills of pre-service classroom teachers. The research adopted a mixed method. The quantitative dimension of the research was designed with pre-test-post-test control groups.…

Active Learning with Statistical Models.

Science.gov (United States)

1995-01-01

Active Learning with Statistical Models ASC-9217041, NSF CDA-9309300 6. AUTHOR(S) David A. Cohn, Zoubin Ghahramani, and Michael I. Jordan 7. PERFORMING...TERMS 15. NUMBER OF PAGES Al, MIT, Artificial Intelligence, active learning , queries, locally weighted 6 regression, LOESS, mixtures of gaussians...COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES A.I. Memo No. 1522 January 9. 1995 C.B.C.L. Paper No. 110 Active Learning with

A Bayesian concept learning approach to crowdsourcing

DEFF Research Database (Denmark)

Viappiani, P.; Zilles, S.; Hamilton, H.J.

2011-01-01

techniques, inference methods, and query selection strategies to assist a user charged with choosing a configuration that satisfies some (partially known) concept. Our model is able to simultaneously learn the concept definition and the types of the experts. We evaluate our model with simulations, showing......We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated according to (noisy) observations from experts, whose behaviors are modeled using discrete types. We propose recommendation...

Personalised learning object based on multi-agent model and learners’ learning styles

Directory of Open Access Journals (Sweden)

Noppamas Pukkhem

2011-09-01

Full Text Available A multi-agent model is proposed in which learning styles and a word analysis technique to create a learning object recommendation system are used. On the basis of a learning style-based design, a concept map combination model is proposed to filter out unsuitable learning concepts from a given course. Our learner model classifies learners into eight styles and implements compatible computational methods consisting of three recommendations: i non-personalised, ii preferred feature-based, and iii neighbour-based collaborative filtering. The analysis of preference error (PE was performed by comparing the actual preferred learning object with the predicted one. In our experiments, the feature-based recommendation algorithm has the fewest PE.

Biomechanical Evaluation of an Electric Power-Assisted Bicycle by a Musculoskeletal Model

Science.gov (United States)

Takehara, Shoichiro; Murakami, Musashi; Hase, Kazunori

In this study, we construct an evaluation system for the muscular activity of the lower limbs when a human pedals an electric power-assisted bicycle. The evaluation system is composed of an electric power-assisted bicycle, a numerical simulator and a motion capture system. The electric power-assisted bicycle in this study has a pedal with an attached force sensor. The numerical simulator for pedaling motion is a musculoskeletal model of a human. The motion capture system measures the joint angles of the lower limb. We examine the influence of the electric power-assisted force on each muscle of the human trunk and legs. First, an experiment of pedaling motion is performed. Then, the musculoskeletal model is calculated by using the experimental data. We discuss the influence on each muscle by electric power-assist. It is found that the muscular activity is decreased by the electric power-assist bicycle, and the reduction of the muscular force required for pedaling motion was quantitatively shown for every muscle.

Modellus: Learning Physics with Mathematical Modelling

Science.gov (United States)

Teodoro, Vitor

Computers are now a major tool in research and development in almost all scientific and technological fields. Despite recent developments, this is far from true for learning environments in schools and most undergraduate studies. This thesis proposes a framework for designing curricula where computers, and computer modelling in particular, are a major tool for learning. The framework, based on research on learning science and mathematics and on computer user interface, assumes that: 1) learning is an active process of creating meaning from representations; 2) learning takes place in a community of practice where students learn both from their own effort and from external guidance; 3) learning is a process of becoming familiar with concepts, with links between concepts, and with representations; 4) direct manipulation user interfaces allow students to explore concrete-abstract objects such as those of physics and can be used by students with minimal computer knowledge. Physics is the science of constructing models and explanations about the physical world. And mathematical models are an important type of models that are difficult for many students. These difficulties can be rooted in the fact that most students do not have an environment where they can explore functions, differential equations and iterations as primary objects that model physical phenomena--as objects-to-think-with, reifying the formal objects of physics. The framework proposes that students should be introduced to modelling in a very early stage of learning physics and mathematics, two scientific areas that must be taught in very closely related way, as they were developed since Galileo and Newton until the beginning of our century, before the rise of overspecialisation in science. At an early stage, functions are the main type of objects used to model real phenomena, such as motions. At a later stage, rates of change and equations with rates of change play an important role. This type of equations

Computational modeling of epiphany learning.

Science.gov (United States)

Chen, Wei James; Krajbich, Ian

2017-05-02

Models of reinforcement learning (RL) are prevalent in the decision-making literature, but not all behavior seems to conform to the gradual convergence that is a central feature of RL. In some cases learning seems to happen all at once. Limited prior research on these "epiphanies" has shown evidence of sudden changes in behavior, but it remains unclear how such epiphanies occur. We propose a sequential-sampling model of epiphany learning (EL) and test it using an eye-tracking experiment. In the experiment, subjects repeatedly play a strategic game that has an optimal strategy. Subjects can learn over time from feedback but are also allowed to commit to a strategy at any time, eliminating all other options and opportunities to learn. We find that the EL model is consistent with the choices, eye movements, and pupillary responses of subjects who commit to the optimal strategy (correct epiphany) but not always of those who commit to a suboptimal strategy or who do not commit at all. Our findings suggest that EL is driven by a latent evidence accumulation process that can be revealed with eye-tracking data.

Active learning reduces annotation time for clinical concept extraction.

Science.gov (United States)

Kholghi, Mahnoosh; Sitbon, Laurianne; Zuccon, Guido; Nguyen, Anthony

2017-10-01

To investigate: (1) the annotation time savings by various active learning query strategies compared to supervised learning and a random sampling baseline, and (2) the benefits of active learning-assisted pre-annotations in accelerating the manual annotation process compared to de novo annotation. There are 73 and 120 discharge summary reports provided by Beth Israel institute in the train and test sets of the concept extraction task in the i2b2/VA 2010 challenge, respectively. The 73 reports were used in user study experiments for manual annotation. First, all sequences within the 73 reports were manually annotated from scratch. Next, active learning models were built to generate pre-annotations for the sequences selected by a query strategy. The annotation/reviewing time per sequence was recorded. The 120 test reports were used to measure the effectiveness of the active learning models. When annotating from scratch, active learning reduced the annotation time up to 35% and 28% compared to a fully supervised approach and a random sampling baseline, respectively. Reviewing active learning-assisted pre-annotations resulted in 20% further reduction of the annotation time when compared to de novo annotation. The number of concepts that require manual annotation is a good indicator of the annotation time for various active learning approaches as demonstrated by high correlation between time rate and concept annotation rate. Active learning has a key role in reducing the time required to manually annotate domain concepts from clinical free text, either when annotating from scratch or reviewing active learning-assisted pre-annotations. Copyright © 2017 Elsevier B.V. All rights reserved.

SOAR Online Course Increases Capacity for Assisting Individuals with Disabilities in the US

Directory of Open Access Journals (Sweden)

Kristin eLupfer

2016-05-01

Full Text Available For adults with disabilities who are experiencing homelessness, chances of being approved for Social Security disability benefits are very low without assistance. Assisting with the SSI/SSDI application process can be challenging for case managers who lack capacity and expertise. Training caseworkers to document disability and submit complete, high-quality applications using the SSI/SSDI Outreach, Access and Recovery (SOAR model improves efficiency and outcomes. Nationally, 65% of applications using the SOAR model are approved, with decisions received in an average of 81 days in 2015. The SOAR Online Course was created to expand training opportunities for individuals to learn how to effectively assist with SSI/SSDI applications for individuals experiencing or at risk for homelessness. From October 1, 2014 to September 30, 2015, 1049 individuals from 49 states, Washington, D.C., and Puerto Rico successfully completed the SOAR online course. The course is a unique public health training model, in that it incorporates a realistic and multimodal practice SSI/SSDI application with comprehensive feedback provided by experts. Local SOAR leaders around the county are trained to facilitate and guide groups through the course. This study evaluated data on online course usage, user experience, and the translation from learning to practice for online course trainees. We found that successful course completions were most concentrated in areas that had local SOAR Leaders, trainees through the online course had higher data entry rates about case outcomes in the SOAR Online Application Tracking (OAT system, and that trainees reported a high satisfaction rate with the course and comprehensive feedback. The evaluation found that key success factors for online training models include the integration of a practice case component (or other generative learning activity, support from local facilitators, and feedback and technical assistance for trainees.

Effects of Gloss Type on Text Recall and Incidental Vocabulary Learning in Mobile-Assisted L2 Listening

Science.gov (United States)

Çakmak, Fidel; Erçetin, Gülcan

2018-01-01

This study investigates the effects of multimedia glosses on text recall and incidental vocabulary learning in a mobile-assisted L2 listening task. A total of 88 participants with a low level of proficiency in English were randomly assigned to one of four conditions that involved single channel (textual-only, pictorial-only) and dual-channel…

DALILA: The Dialectal Arabic Linguistic Learning Assistant

OpenAIRE

Khalifa , Salam; Bouamor , Houda; Habash , Nizar

2016-01-01

International audience; Dialectal Arabic (DA) poses serious challenges for Natural Language Processing (NLP). The number and sophistication of tools and datasets in DA are very limited in comparison to Modern Standard Arabic (MSA) and other languages. MSA tools do not effectively model DA which makes the direct use of MSA NLP tools for handling dialects impractical. This is particularly a challenge for the creation of tools to support learning Arabic as a living language on the web, where aut...

Meningkatkan Prestasi Belajar IPS Materi Interaksi Sosial Melalui Penggunaan Model Pembelajaran Team Assisted Individualization (TAI

Directory of Open Access Journals (Sweden)

Juliastuti .

2017-01-01

Full Text Available Berdasarkan hasil observasi dan wawancara dengan guru mata pelajaran IPS di SMPN 33 Surabaya Kota Surabaya, diperoleh bahwa nilai rata-rata penguasaan materi siswa kelas X1 pada materi Interaksi Sosial tahun pelajaran 2012/2013 masih rendah. Aktivitas siswa yang relevan dengan pembelajaran rendah. Salah satu upaya untuk meningkatkan aktivitas siswa dan penguasaan materi Interaksi Sosial adalah dengan menerapkan model pembelajaran kooperatif tipe TAI (Team Asissted Individualization. Tujuan penelitian ini adalah mendeskripsikan penggunaan pembelajaran kooperatif tipe TAI untuk meningkatkan persentase rata-rata : (1 tiap jenis aktivitas siswa; (2 penguasaan materi siswa dari siklus ke siklus. Penelitian ini adalah penelitian tindakan kelas yang dilakukan sebanyak tiga siklus. Data penelitian ini terdiri dari data kualitatif, yaitu data aktivitas on task siswa yang diperoleh dari lembar observasi, serta data kuantitatif berupa nilai penguasaan materi interaksi sosial yang diperoleh melalui tes formatif. Hasil penelitian ini menunjukkan bahwa penggunaan model pembelajaran kooperatif tipe memiliki dampak positif dalam meningkatkan prestasi belajar siswa yang ditandai dengan peningkatan ketuntasan belajar siswa dalam setiap siklus, yaitu siklus I 65,63%, siklus II 100%. Kata Kunci : Team Assisted Individualization ( TAI , Prestasi Belajar, IPS                                                                                                                        Based on observations and interviews with a social studies teacher at SMPN 33 Surabaya Surabaya, found that the average value of students' mastery of the material in the material class X1 Social Interaction in the academic year 2012/2013 is still low. Activities relevant to the learning of students is low. One effort to increase student activity and mastery of Social Interaction

Kolb's Experiential Learning Model: Critique from a Modeling Perspective

Science.gov (United States)

Bergsteiner, Harald; Avery, Gayle C.; Neumann, Ruth

2010-01-01

Kolb's experiential learning theory has been widely influential in adult learning. The theory and associated instruments continue to be criticized, but rarely is the graphical model itself examined. This is significant because models can aid scientific understanding and progress, as well as theory development and research. Applying accepted…

Model United Nations and Deep Learning: Theoretical and Professional Learning

Science.gov (United States)

Engel, Susan; Pallas, Josh; Lambert, Sarah

2017-01-01

This article demonstrates that the purposeful subject design, incorporating a Model United Nations (MUN), facilitated deep learning and professional skills attainment in the field of International Relations. Deep learning was promoted in subject design by linking learning objectives to Anderson and Krathwohl's (2001) four levels of knowledge or…

Cognitive components underpinning the development of model-based learning.

Science.gov (United States)

Potter, Tracey C S; Bryce, Nessa V; Hartley, Catherine A

2017-06-01

Reinforcement learning theory distinguishes "model-free" learning, which fosters reflexive repetition of previously rewarded actions, from "model-based" learning, which recruits a mental model of the environment to flexibly select goal-directed actions. Whereas model-free learning is evident across development, recruitment of model-based learning appears to increase with age. However, the cognitive processes underlying the development of model-based learning remain poorly characterized. Here, we examined whether age-related differences in cognitive processes underlying the construction and flexible recruitment of mental models predict developmental increases in model-based choice. In a cohort of participants aged 9-25, we examined whether the abilities to infer sequential regularities in the environment ("statistical learning"), maintain information in an active state ("working memory") and integrate distant concepts to solve problems ("fluid reasoning") predicted age-related improvements in model-based choice. We found that age-related improvements in statistical learning performance did not mediate the relationship between age and model-based choice. Ceiling performance on our working memory assay prevented examination of its contribution to model-based learning. However, age-related improvements in fluid reasoning statistically mediated the developmental increase in the recruitment of a model-based strategy. These findings suggest that gradual development of fluid reasoning may be a critical component process underlying the emergence of model-based learning. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

A Canine Audience: The Effect of Animal-Assisted Therapy on Reading Progress among Students Identified with Learning Disabilities

Science.gov (United States)

Griess, Julie Omodio

2010-01-01

This study explored the use of animal-assisted therapy with students identified with a learning disability and limited reading success. Initially, reading progress was defined as the participants' comprehension rate obtained from an oral Informal Reading Inventory (IRI) passage. The nature of the Informal Reading Inventory requires the…

Learning strategies: a synthesis and conceptual model

Science.gov (United States)

Hattie, John A. C.; Donoghue, Gregory M.

2016-08-01

The purpose of this article is to explore a model of learning that proposes that various learning strategies are powerful at certain stages in the learning cycle. The model describes three inputs and outcomes (skill, will and thrill), success criteria, three phases of learning (surface, deep and transfer) and an acquiring and consolidation phase within each of the surface and deep phases. A synthesis of 228 meta-analyses led to the identification of the most effective strategies. The results indicate that there is a subset of strategies that are effective, but this effectiveness depends on the phase of the model in which they are implemented. Further, it is best not to run separate sessions on learning strategies but to embed the various strategies within the content of the subject, to be clearer about developing both surface and deep learning, and promoting their associated optimal strategies and to teach the skills of transfer of learning. The article concludes with a discussion of questions raised by the model that need further research.

Effect of Integrating Computer-Assisted Language Learning in the TOEFL Performance of Nursing Students

Directory of Open Access Journals (Sweden)

Marlene R. Castillo

2015-08-01

Full Text Available The study aimed to determine the relationship between the use of a computer-assisted language learning (CALL software and the TOEFL performance of nursing students. This descriptive study used a pre-test and post-test and a survey questionnaire to gather data. Interviews and observations were also conducted to gain further insights in the use of the software. Results indicate that for the three areas of the TOEFL model practice test, there is a statistically significant increase in the gain scores of the students in the post-test after being exposed to the use of the software for two semesters. They performed well in Sentence Completion and Error Identification, both under Structure and Written Expression. On the other hand, they performed only fairly for Reading Comprehension and Vocabulary. For Structure and Written Expression, the areas of strength included correct choice of main verbs, subject pronouns, and comparative use of adjective while the areas of weaknesses include correlative conjunctions, adverb-related structures, and indefinite subject and verb agreement.

Learning Probabilistic Logic Models from Probabilistic Examples.

Science.gov (United States)

Chen, Jianzhong; Muggleton, Stephen; Santos, José

2008-10-01

We revisit an application developed originally using abductive Inductive Logic Programming (ILP) for modeling inhibition in metabolic networks. The example data was derived from studies of the effects of toxins on rats using Nuclear Magnetic Resonance (NMR) time-trace analysis of their biofluids together with background knowledge representing a subset of the Kyoto Encyclopedia of Genes and Genomes (KEGG). We now apply two Probabilistic ILP (PILP) approaches - abductive Stochastic Logic Programs (SLPs) and PRogramming In Statistical modeling (PRISM) to the application. Both approaches support abductive learning and probability predictions. Abductive SLPs are a PILP framework that provides possible worlds semantics to SLPs through abduction. Instead of learning logic models from non-probabilistic examples as done in ILP, the PILP approach applied in this paper is based on a general technique for introducing probability labels within a standard scientific experimental setting involving control and treated data. Our results demonstrate that the PILP approach provides a way of learning probabilistic logic models from probabilistic examples, and the PILP models learned from probabilistic examples lead to a significant decrease in error accompanied by improved insight from the learned results compared with the PILP models learned from non-probabilistic examples.

Using a Touch-Based, Computer-Assisted Learning System to Promote Literacy and Math Skills for Low-Income Preschoolers

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Mark H McManis

2016-08-01

Full Text Available The use of touch-based technologies by young children to improve academic skills has seen growth outpacing empirical evidence of its effectiveness. Due to the educational challenges low-income children face, the stakes for providing instructional technology with demonstrated efficacy are high. The current work presents an empirical study of the use of a touch-based, computer-assisted learning system by low-income preschoolers. A description of the system’s design is provided with attention to young children’s interaction with touch devices, learner engagement, and pedagogically-based delivery of academic content. Children in 18 low-income child-care preschool classrooms were assessed on literacy and math skills in the fall and again in the spring. Target children used the iStartSmart learning system throughout the academic year, while control children did not have access to the system. Compared to controls, children using the learning system made significant gains on external standardized measures of literacy and math. Children who spent more time using the system and those who reached the upper levels of skill understanding showed the strongest improvement in test scores. The findings contribute to the currently sparse literature by illuminating that for at-risk early learners, touch-based, computer-assisted instructional technology shows promise as an educational tool.

Active Learning for Player Modeling

DEFF Research Database (Denmark)

Shaker, Noor; Abou-Zleikha, Mohamed; Shaker, Mohammad

2015-01-01

Learning models of player behavior has been the focus of several studies. This work is motivated by better understanding of player behavior, a knowledge that can ultimately be employed to provide player-adapted or personalized content. In this paper, we propose the use of active learning for player...... experience modeling. We use a dataset from hundreds of players playing Infinite Mario Bros. as a case study and we employ the random forest method to learn mod- els of player experience through the active learning approach. The results obtained suggest that only part of the dataset (up to half the size...... that the method can be used online during the content generation process where the mod- els can improve and better content can be presented as the game is being played....

Multidimensional Learner Model In Intelligent Learning System

Science.gov (United States)

Deliyska, B.; Rozeva, A.

2009-11-01

The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

Blended learning models for directing the self-learning activity of “Software Engineering” specialty students

Directory of Open Access Journals (Sweden)

Vera V. Lyubchenko

2014-12-01

Full Text Available The adoption of Law of Ukraine “On Higher Education” (2014 involves the increase in students’ self-learning activity part in the curriculum. Therefore the self-learning activities’ arrangement in a way augmenting the result quality becomes a top priority task. This research objective consists in elaborating the scenario for organization of the students’ qualitative self-study, based on blended learning models. The author analyzes four blended learning models: the rotation model, flex-model, self-blend model and online driver model, and gives examples of their use. It is shown that first two models are the most suitable for full-time students. A general scenario for the use of blended learning models is described. Although the use of blended learning models causes several difficulties, it also essentially contributes into students’ self-study monitoring and control support.

Efficient model learning methods for actor-critic control.

Science.gov (United States)

Grondman, Ivo; Vaandrager, Maarten; Buşoniu, Lucian; Babuska, Robert; Schuitema, Erik

2012-06-01

We propose two new actor-critic algorithms for reinforcement learning. Both algorithms use local linear regression (LLR) to learn approximations of the functions involved. A crucial feature of the algorithms is that they also learn a process model, and this, in combination with LLR, provides an efficient policy update for faster learning. The first algorithm uses a novel model-based update rule for the actor parameters. The second algorithm does not use an explicit actor but learns a reference model which represents a desired behavior, from which desired control actions can be calculated using the inverse of the learned process model. The two novel methods and a standard actor-critic algorithm are applied to the pendulum swing-up problem, in which the novel methods achieve faster learning than the standard algorithm.

Team learning: building shared mental models

NARCIS (Netherlands)

Bossche, van den P.; Gijselaers, W.; Segers, M.; Woltjer, G.B.; Kirschner, P.

2011-01-01

To gain insight in the social processes that underlie knowledge sharing in teams, this article questions which team learning behaviors lead to the construction of a shared mental model. Additionally, it explores how the development of shared mental models mediates the relation between team learning

Modeling the behavioral substrates of associate learning and memory - Adaptive neural models

Science.gov (United States)

Lee, Chuen-Chien

1991-01-01

Three adaptive single-neuron models based on neural analogies of behavior modification episodes are proposed, which attempt to bridge the gap between psychology and neurophysiology. The proposed models capture the predictive nature of Pavlovian conditioning, which is essential to the theory of adaptive/learning systems. The models learn to anticipate the occurrence of a conditioned response before the presence of a reinforcing stimulus when training is complete. Furthermore, each model can find the most nonredundant and earliest predictor of reinforcement. The behavior of the models accounts for several aspects of basic animal learning phenomena in Pavlovian conditioning beyond previous related models. Computer simulations show how well the models fit empirical data from various animal learning paradigms.

Online Learning of Industrial Manipulators' Dynamics Models

DEFF Research Database (Denmark)

Polydoros, Athanasios

2017-01-01

, it was compared with multiple other state-of-the-art machine learning algorithms. Moreover, the thesis presents the application of the proposed learning method on robot control for achieving trajectory execution while learning the inverse dynamics models  on-the-fly . Also it is presented the application...... of the dynamics models. Those mainly derive from physics-based methods and thus they are based on physical properties which are hard to be calculated.  In this thesis, is presented, a novel online machine learning approach  which is able to model both inverse and forward dynamics models of industrial manipulators....... The proposed method belongs to the class of deep learning and exploits the concepts of self-organization, recurrent neural networks and iterative multivariate Bayesian regression. It has been evaluated on multiple datasets captured from industrial robots while they were performing various tasks. Also...

A Hybrid Teaching and Learning Model

Science.gov (United States)

Juhary, Jowati Binti

This paper aims at analysing the needs for a specific teaching and learning model for the National Defence University of Malaysia (NDUM). The main argument is that whether there are differences between teaching and learning for academic component versus military component at the university. It is further argued that in order to achieve excellence, there should be one teaching and learning culture. Data were collected through interviews with military cadets. It is found that there are variations of teaching and learning strategies for academic courses, in comparison to a dominant teaching and learning style for military courses. Thus, in the interest of delivering quality education and training for students at the university, the paper argues that possibly a hybrid model for teaching and learning is fundamental in order to generate a one culture of academic and military excellence for the NDUM.

Enhanced democratic learning within the Aalborg Model

DEFF Research Database (Denmark)

Qvist, Palle

2010-01-01

The Aalborg PBL Model [Kjersdam & Enemark, 1997; Kolmos et al., 2004] is an example of a democratic learning system [Qvist, 2008]. Writing one project each semester in teams is an important element in the model. Medicine with Industrial Specialisation - a study at the Faculties of Engineering......, Science and Medicine at Aalborg University - has combined the Aalborg Model with solving cases as used by other models. A questionnaire survey related to democratic learning indicates that the democratic learning has been enhanced. This paper presents the results....

Learning for design reuse

DEFF Research Database (Denmark)

Duffy, Alex; Duffy, Sandra M.

1996-01-01

Over the past decade "design assistance", that is, where the computer is viewed as an Intelligent Design Assistant (IDA), has emerged in knowledge based design support and has formed the basic research strategy for the CAD Cantre, University of Strathclyde, since the mid-1980s. Within this philos......Over the past decade "design assistance", that is, where the computer is viewed as an Intelligent Design Assistant (IDA), has emerged in knowledge based design support and has formed the basic research strategy for the CAD Cantre, University of Strathclyde, since the mid-1980s. Within...... this philosophy, an IDA would act as a colleague to a designer, providing guidance, learning from past experiences, carrying out semi- and fully-automated tasks, explaining its reasoning and in essence complementing the designer's own natural skills, and thus leaving the ultimate decision-making, control......, and responsibility with the designer.The ability to learn and evolve has been recognized as one of the key components of an IDA for it to fully support the designer's activities. Consequently, we have been directing our research effort on two main fronts, formalizing our understanding and developing models...

Dopamine selectively remediates 'model-based' reward learning: a computational approach.

Science.gov (United States)

Sharp, Madeleine E; Foerde, Karin; Daw, Nathaniel D; Shohamy, Daphna

2016-02-01

Patients with loss of dopamine due to Parkinson's disease are impaired at learning from reward. However, it remains unknown precisely which aspect of learning is impaired. In particular, learning from reward, or reinforcement learning, can be driven by two distinct computational processes. One involves habitual stamping-in of stimulus-response associations, hypothesized to arise computationally from 'model-free' learning. The other, 'model-based' learning, involves learning a model of the world that is believed to support goal-directed behaviour. Much work has pointed to a role for dopamine in model-free learning. But recent work suggests model-based learning may also involve dopamine modulation, raising the possibility that model-based learning may contribute to the learning impairment in Parkinson's disease. To directly test this, we used a two-step reward-learning task which dissociates model-free versus model-based learning. We evaluated learning in patients with Parkinson's disease tested ON versus OFF their dopamine replacement medication and in healthy controls. Surprisingly, we found no effect of disease or medication on model-free learning. Instead, we found that patients tested OFF medication showed a marked impairment in model-based learning, and that this impairment was remediated by dopaminergic medication. Moreover, model-based learning was positively correlated with a separate measure of working memory performance, raising the possibility of common neural substrates. Our results suggest that some learning deficits in Parkinson's disease may be related to an inability to pursue reward based on complete representations of the environment. © The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning.

Science.gov (United States)

Doll, Bradley B; Bath, Kevin G; Daw, Nathaniel D; Frank, Michael J

2016-01-27

Considerable evidence suggests that multiple learning systems can drive behavior. Choice can proceed reflexively from previous actions and their associated outcomes, as captured by "model-free" learning algorithms, or flexibly from prospective consideration of outcomes that might occur, as captured by "model-based" learning algorithms. However, differential contributions of dopamine to these systems are poorly understood. Dopamine is widely thought to support model-free learning by modulating plasticity in striatum. Model-based learning may also be affected by these striatal effects, or by other dopaminergic effects elsewhere, notably on prefrontal working memory function. Indeed, prominent demonstrations linking striatal dopamine to putatively model-free learning did not rule out model-based effects, whereas other studies have reported dopaminergic modulation of verifiably model-based learning, but without distinguishing a prefrontal versus striatal locus. To clarify the relationships between dopamine, neural systems, and learning strategies, we combine a genetic association approach in humans with two well-studied reinforcement learning tasks: one isolating model-based from model-free behavior and the other sensitive to key aspects of striatal plasticity. Prefrontal function was indexed by a polymorphism in the COMT gene, differences of which reflect dopamine levels in the prefrontal cortex. This polymorphism has been associated with differences in prefrontal activity and working memory. Striatal function was indexed by a gene coding for DARPP-32, which is densely expressed in the striatum where it is necessary for synaptic plasticity. We found evidence for our hypothesis that variations in prefrontal dopamine relate to model-based learning, whereas variations in striatal dopamine function relate to model-free learning. Decisions can stem reflexively from their previously associated outcomes or flexibly from deliberative consideration of potential choice outcomes

Mosaic model for sensorimotor learning and control.

Science.gov (United States)

Haruno, M; Wolpert, D M; Kawato, M

2001-10-01

Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. We previously proposed a new modular architecture, the modular selection and identification for control (MOSAIC) model, for motor learning and control based on multiple pairs of forward (predictor) and inverse (controller) models. The architecture simultaneously learns the multiple inverse models necessary for control as well as how to select the set of inverse models appropriate for a given environment. It combines both feedforward and feedback sensorimotor information so that the controllers can be selected both prior to movement and subsequently during movement. This article extends and evaluates the MOSAIC architecture in the following respects. The learning in the architecture was implemented by both the original gradient-descent method and the expectation-maximization (EM) algorithm. Unlike gradient descent, the newly derived EM algorithm is robust to the initial starting conditions and learning parameters. Second, simulations of an object manipulation task prove that the architecture can learn to manipulate multiple objects and switch between them appropriately. Moreover, after learning, the model shows generalization to novel objects whose dynamics lie within the polyhedra of already learned dynamics. Finally, when each of the dynamics is associated with a particular object shape, the model is able to select the appropriate controller before movement execution. When presented with a novel shape-dynamic pairing, inappropriate activation of modules is observed followed by on-line correction.

On the Use of the Humanoid Bioloid System for Robot-Assisted Transcription of Mexican Spanish Speech

Directory of Open Access Journals (Sweden)

Santiago-Omar Caballero-Morales

2015-12-01

Full Text Available Within the context of service robotics (SR, the development of assistive technologies has become an important research field. However, the accomplishment of assistive tasks requires precise and fine control of the mechanic systems that integrate the robotic entity. Among the most challenging tasks in robot control, the handwriting task (transcription is of particular interest due to the fine control required to draw single and multiple alphabet characters to express words and sentences. For language learning activities, robot-assisted speech transcription can motivate the student to practice pronunciation and writing tasks in a dynamic environment. Hence, this paper is aimed to provide the techniques and models to accomplish accurate robot-assisted transcription of Spanish speech. The transcriptor is integrated by a multi-user speech recognizer for continuous speech and the kinematic models for the Mexican Spanish alphabet characters. The Bioloid system with the standard humanoid configuration and no special modifications or tools was considered for implementation. Particularly, the proposed transcriptor could perform the handwriting task with the Bioloid’s two two DOF (degrees-of-freedom arms. This enabled writing of one-line short and long sentences with small alphabet characters (width <1.0 cm. It is expected that the technique and models that integrate the transcriptor can provide support for the development of robot-assisted language learning activities for children and young adults.

A Judgement-Based Model of Workplace Learning

Science.gov (United States)

Athanasou, James A.

2004-01-01

The purpose of this paper is to outline a judgement-based model of adult learning. This approach is set out as a Perceptual-Judgemental-Reinforcement approach to social learning under conditions of complexity and where there is no single, clearly identified correct response. The model builds upon the Hager-Halliday thesis of workplace learning and…

Technology Learning Ratios in Global Energy Models

International Nuclear Information System (INIS)

Varela, M.

2001-01-01

The process of introduction of a new technology supposes that while its production and utilisation increases, also its operation improves and its investment costs and production decreases. The accumulation of experience and learning of a new technology increase in parallel with the increase of its market share. This process is represented by the technological learning curves and the energy sector is not detached from this process of substitution of old technologies by new ones. The present paper carries out a brief revision of the main energy models that include the technology dynamics (learning). The energy scenarios, developed by global energy models, assume that the characteristics of the technologies are variables with time. But this trend is incorporated in a exogenous way in these energy models, that is to say, it is only a time function. This practice is applied to the cost indicators of the technology such as the specific investment costs or to the efficiency of the energy technologies. In the last years, the new concept of endogenous technological learning has been integrated within these global energy models. This paper examines the concept of technological learning in global energy models. It also analyses the technological dynamics of the energy system including the endogenous modelling of the process of technological progress. Finally, it makes a comparison of several of the most used global energy models (MARKAL, MESSAGE and ERIS) and, more concretely, about the use these models make of the concept of technological learning. (Author) 17 refs

Learning and Model-checking Networks of I/O Automata

DEFF Research Database (Denmark)

Mao, Hua; Jaeger, Manfred

2012-01-01

We introduce a new statistical relational learning (SRL) approach in which models for structured data, especially network data, are constructed as networks of communicating nite probabilistic automata. Leveraging existing automata learning methods from the area of grammatical inference, we can...... learn generic models for network entities in the form of automata templates. As is characteristic for SRL techniques, the abstraction level aorded by learning generic templates enables one to apply the learned model to new domains. A main benet of learning models based on nite automata lies in the fact...

THE EFFECTS OF COOPERATIVE LEARNING MODEL GROUP INVESTIGATION AND MOTIVATION TOWARD PHYSICS LEARNING RESULTS MAN TANJUNGBALAI

Directory of Open Access Journals (Sweden)

Amalia Febri Aristi

2014-12-01

Full Text Available This study aimed to determine: (1 Is there a difference in student's learning outcomes with the application of learning models Investigation Group and Direct Instruction teaching model. (2 Is there a difference in students' motivation with the application of learning models Investigation Group and Direct Instruction teaching model, (3 Is there an interaction between learning models Investigation Group and Direct Instruction to improve students' motivation in learning outcomes Physics. This research is a quasi experimental. The study population was a student of class XII Tanjung Balai MAN. Random sample selection is done by randomizing the class. The instrument used consisted of: (1 achievement test (2 students' motivation questionnaire. The tests are used to obtain the data is shaped essay. The data in this study were analyzed using ANOVA analysis of two paths. The results showed that: (1 there were differences in learning outcomes between students who used the physics model of Group Investigation learning compared with students who used the Direct Instruction teaching model. (2 There was a difference in student's learning outcomes that had a low learning motivation and high motivation to learn both in the classroom and in the classroom Investigation Group Direct Instruction. (3 There was interaction between learning models Instruction Direct Group Investigation and motivation to learn in improving learning outcomes Physics.

Model-Agnostic Interpretability of Machine Learning

OpenAIRE

Ribeiro, Marco Tulio; Singh, Sameer; Guestrin, Carlos

2016-01-01

Understanding why machine learning models behave the way they do empowers both system designers and end-users in many ways: in model selection, feature engineering, in order to trust and act upon the predictions, and in more intuitive user interfaces. Thus, interpretability has become a vital concern in machine learning, and work in the area of interpretable models has found renewed interest. In some applications, such models are as accurate as non-interpretable ones, and thus are preferred f...

Peer-assisted learning: a platform for long-term development for both tutors and tutees

Directory of Open Access Journals (Sweden)

Jamshaid S

2016-10-01

Full Text Available Shiraz Jamshaid,1 Mohammed Farwana,2 Faisal Jamshaid,2 Wasim Jamshaid,1 Reem Farwana,3 Sharaf Sheik-Ali41Imperial College London, School of Medicine, 2Kings College London, School of Medicine, London, 3Birmingham University, School of Medicine and Dentistry, Birmingham,4Barts and the London University, School of Medicine and Dentistry, London, UKWe read with great interest the perspective of peer-assisted learning (PAL in medical school by Menezes et al and agree with the high importance placed on PAL.1View the original paper by Menezes and colleagues.

Learning design for science education in the 21st century

Directory of Open Access Journals (Sweden)

Churchill Daniel

2013-01-01

Full Text Available Contemporary technological and social developments demand transformation of educational practices. Teachers and schools are no longer fountains of knowledge that fill students with information. Rather, their primarily role is to equip students with new literacies, competencies for productive use of information technology, and sufficient disciplinary-specific bases of conceptual knowledge. This requires changes toward student-centered practices. In such contexts, teachers are designers of learning; therefore lesson planning is replaced with a concept of ‘learning design.’ This paper introduces the RASE (Resources-Activity-Support-Evaluation learning design model developed as a framework to assist teachers in designing learning modules. Central to RASE is the emphasis on the design of activities where students engage in using resources and in the production of artifacts that demonstrate learning. The paper also emphasizes the importance of ‘conceptual models’ as a special type of educational multimedia resource, and its role in assisting learning and application of concepts, as opposed to the ‘information transfer’ models. RASE is beginning to emerge as a powerful framework for transformation of teachers and their traditional practices to contemporary, relevant student-centered practices. The model is also an effective framework for productive uses of information technology in education.

A model of positive and negative learning : Learning demands and resources, learning engagement, critical thinking, and fake news detection

NARCIS (Netherlands)

Dormann, Christian; Demerouti, Eva; Bakker, Arnold; Zlatkin-Troitschanskaia, O.; Wittum, G.; Dengel, A.

2018-01-01

This chapter proposes a model of positive and negative learning (PNL model). We use the term negative learning when stress among students occurs, and when knowledge and abilities are not properly developed. We use the term positive learning if motivation is high and active learning occurs. The PNL

The Impact of Learning Curve Model Selection and Criteria for Cost Estimation Accuracy in the DoD

Science.gov (United States)

2016-04-30

different in the future due to machines” • Heightened scrutiny of cost estimates • Budget Control Act of 2011 seeks to reduce federal deficit ...qÜáêíÉÉåíÜ=^ååì~ä= ^Åèìáëáíáçå=oÉëÉ~êÅÜ= póãéçëáìã= qÜìêëÇ~ó=pÉëëáçåë= sçäìãÉ=ff= = The Impact of Learning Curve Model Selection and Criteria for Cost...Assistant Division Director, Institute for Defense Analyses Bruce Harmon, Research Staff Member, Institute for Defense Analyses The Impact of Learning

Modeling a student-classroom interaction in a tutorial-like system using learning automata.

Science.gov (United States)

Oommen, B John; Hashem, M Khaled

2010-02-01

Almost all of the learning paradigms used in machine learning, learning automata (LA), and learning theory, in general, use the philosophy of a Student (learning mechanism) attempting to learn from a teacher. This paradigm has been generalized in a myriad of ways, including the scenario when there are multiple teachers or a hierarchy of mechanisms that collectively achieve the learning. In this paper, we consider a departure from this paradigm by allowing the Student to be a member of a classroom of Students, where, for the most part, we permit each member of the classroom not only to learn from the teacher(s) but also to "extract" information from any of his fellow Students. This paper deals with issues concerning the modeling, decision-making process, and testing of such a scenario within the LA context. The main result that we show is that a weak learner can actually benefit from this capability of utilizing the information that he gets from a superior colleague-if this information transfer is done appropriately. As far as we know, the whole concept of Students learning from both a teacher and from a classroom of Students is novel and unreported in the literature. The proposed Student-classroom interaction has been tested for numerous strategies and for different environments, including the established benchmarks, and the results show that Students can improve their learning by interacting with each other. For example, for some interaction strategies, a weak Student can improve his learning by up to 73% when interacting with a classroom of Students, which includes Students of various capabilities. In these interactions, the Student does not have a priori knowledge of the identity or characteristics of the Students who offer their assistance.

A Conceptual Model of eLearning Adoption

Directory of Open Access Journals (Sweden)

Muneer Abbad

2011-05-01

Full Text Available Internet-based learning systems are being used in many universities and firms but their adoption requires a solid understanding of the user acceptance processes. The technology acceptance model (TAM has been used to test the acceptance of various technologies and software within an e-learning context. This research aims to discuss the main factors of a successful e-learning adoption by students. A conceptual research framework of e-learning adoption is proposed based on the TAM model.

Ultrasonic-assisted manufacturing processes: Variational model and numerical simulations

KAUST Repository

Siddiq, Amir; El Sayed, Tamer

2012-01-01

We present a computational study of ultrasonic assisted manufacturing processes including sheet metal forming, upsetting, and wire drawing. A fully variational porous plasticity model is modified to include ultrasonic softening effects

AN INCLUSIVE APPROACH TO ONLINE LEARNING ENVIRONMENTS: Models and Resources

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Aline Germain-RUTHERFORD

2008-04-01

Full Text Available The impact of ever-increasing numbers of online courses on the demographic composition of classes has meant that the notions of diversity, multiculturality and globalization are now key aspects of curriculum planning. With the internationalization and globalization of education, and faced with rising needs for an increasingly educated and more adequately trained workforce, universities are offering more flexible programs, assisted by new educational and communications technologies. Faced with this diversity of populations and needs, many instructors are becoming aware of the importance of addressing the notions of multiculturality and interculturality in the design of online however this raises many questions. For example, how do we integrate and address this multicultural dimension in a distance education course aimed at students who live in diverse cultural environments? How do the challenges of intercultural communication in an online environment affect online teaching and learning? What are the characteristics of an online course that is inclusive of all types of diversity, and what are the guiding principles for designing such courses? We will attempt to answer some of these questions by first exploring the concepts of culture and learning cultures. This will help us to characterize the impact on online learning of particular cultural dimensions. We will then present and discuss different online instructional design models that are culturally inclusive, and conclude with the description of a mediated instructional training module on the management of the cultural dimension of online teaching and learning. This module is mainly addressed to teachers and designers of online courses.

Natural language processing tools for computer assisted language learning

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Vandeventer Faltin, Anne

2003-01-01

Full Text Available This paper illustrates the usefulness of natural language processing (NLP tools for computer assisted language learning (CALL through the presentation of three NLP tools integrated within a CALL software for French. These tools are (i a sentence structure viewer; (ii an error diagnosis system; and (iii a conjugation tool. The sentence structure viewer helps language learners grasp the structure of a sentence, by providing lexical and grammatical information. This information is derived from a deep syntactic analysis. Two different outputs are presented. The error diagnosis system is composed of a spell checker, a grammar checker, and a coherence checker. The spell checker makes use of alpha-codes, phonological reinterpretation, and some ad hoc rules to provide correction proposals. The grammar checker employs constraint relaxation and phonological reinterpretation as diagnosis techniques. The coherence checker compares the underlying "semantic" structures of a stored answer and of the learners' input to detect semantic discrepancies. The conjugation tool is a resource with enhanced capabilities when put on an electronic format, enabling searches from inflected and ambiguous verb forms.

Effect of Computer-Assisted Learning on Students' Dental Anatomy Waxing Performance.

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Kwon, So Ran; Hernández, Marcela; Blanchette, Derek R; Lam, Matthew T; Gratton, David G; Aquilino, Steven A

2015-09-01

The aim of this study was to evaluate the impact of computer-assisted learning on first-year dental students' waxing abilities and self-evaluation skills. Additionally, this study sought to determine how well digital evaluation software performed compared to faculty grading with respect to students' technical scores on a practical competency examination. First-year students at one U.S. dental school were assigned to one of three groups: control (n=40), E4D Compare (n=20), and Sirona prepCheck (n=19). Students in the control group were taught by traditional teaching methodologies, and the technology-assisted groups received both traditional training and supplementary feedback from the corresponding digital system. Five outcomes were measured: visual assessment score, self-evaluation score, and digital assessment scores at 0.25 mm, 0.30 mm, and 0.35 mm tolerance. The scores from visual assessment and self-evaluation were examined for differences among groups using the Kruskal-Wallis test. Correlation between the visual assessment and digital scores was measured using Pearson and Spearman rank correlation coefficients. At completion of the course, students were asked to complete a survey on the use of these digital technologies. All 79 students in the first-year class participated in the study, for a 100% response rate. The results showed that the visual assessment and self-evaluation scores did not differ among groups (p>0.05). Overall correlations between visual and digital assessment scores were modest though statistically significant (5% level of significance). Analysis of survey responses completed by students in the technology groups showed that profiles for the two groups were similar and not favorable towards digital technology. The study concluded that technology-assisted training did not affect these students' waxing performance or self-evaluation skills and that visual scores given by faculty and digital assessment scores correlated moderately.

Modeling learning and memory using verbal learning tests: results from ACTIVE.

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Gross, Alden L; Rebok, George W; Brandt, Jason; Tommet, Doug; Marsiske, Michael; Jones, Richard N

2013-03-01

To investigate the influence of memory training on initial recall and learning. The Advanced Cognitive Training for Independent and Vital Elderly study of community-dwelling adults older than age 65 (n = 1,401). We decomposed trial-level recall in the Auditory Verbal Learning Test (AVLT) and Hopkins Verbal Learning Test (HVLT) into initial recall and learning across trials using latent growth models. Trial-level increases in words recalled in the AVLT and HVLT at each follow-up visit followed an approximately logarithmic shape. Over the 5-year study period, memory training was associated with slower decline in Trial 1 AVLT recall (Cohen's d = 0.35, p = .03) and steep pre- and posttraining acceleration in learning (d = 1.56, p learning, d = 3.10, p memory-trained group had a higher level of recall than the control group through the end of the 5-year study period despite faster decline in learning. This study contributes to the understanding of the mechanisms by which training benefits memory and expands current knowledge by reporting long-term changes in initial recall and learning, as measured from growth models and by characterization of the impact of memory training on these components. Results reveal that memory training delays the worsening of memory span and boosts learning.

SUSTAIN: a network model of category learning.

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Love, Bradley C; Medin, Douglas L; Gureckis, Todd M

2004-04-01

SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network) is a model of how humans learn categories from examples. SUSTAIN initially assumes a simple category structure. If simple solutions prove inadequate and SUSTAIN is confronted with a surprising event (e.g., it is told that a bat is a mammal instead of a bird), SUSTAIN recruits an additional cluster to represent the surprising event. Newly recruited clusters are available to explain future events and can themselves evolve into prototypes-attractors-rules. SUSTAIN's discovery of category substructure is affected not only by the structure of the world but by the nature of the learning task and the learner's goals. SUSTAIN successfully extends category learning models to studies of inference learning, unsupervised learning, category construction, and contexts in which identification learning is faster than classification learning.

A Coterminous Collaborative Learning Model: Interconnectivity of Leadership and Learning

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Ilana Margolin

2012-05-01

Full Text Available This qualitative ethnographic study examines a collaborative leadership model focused on learning and socially just practices within a change context of a wide educational partnership. The study analyzes a range of perspectives of novice teachers, mentor teachers, teacher educators and district superintendents on leadership and learning. The findings reveal the emergence of a coalition of leaders crossing borders at all levels of the educational system: local school level, district level and teacher education level who were involved in coterminous collaborative learning. Four categories of learning were identified as critical to leading a change in the educational system: learning in professional communities, learning from practice, learning through theory and research and learning from and with leaders. The implications of the study for policy makers as well as for practitioners are to adopt a holistic approach to the educational environment and plan a collaborative learning continuum from initial pre-service programs through professional development learning at all levels.

Learning

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Mohsen Laabidi

2014-01-01

Full Text Available Nowadays learning technologies transformed educational systems with impressive progress of Information and Communication Technologies (ICT. Furthermore, when these technologies are available, affordable and accessible, they represent more than a transformation for people with disabilities. They represent real opportunities with access to an inclusive education and help to overcome the obstacles they met in classical educational systems. In this paper, we will cover basic concepts of e-accessibility, universal design and assistive technologies, with a special focus on accessible e-learning systems. Then, we will present recent research works conducted in our research Laboratory LaTICE toward the development of an accessible online learning environment for persons with disabilities from the design and specification step to the implementation. We will present, in particular, the accessible version “MoodleAcc+” of the well known e-learning platform Moodle as well as new elaborated generic models and a range of tools for authoring and evaluating accessible educational content.

Learning topic models by belief propagation.

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Zeng, Jia; Cheung, William K; Liu, Jiming

2013-05-01

Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interest and touches on many important applications in text mining, computer vision and computational biology. This paper represents the collapsed LDA as a factor graph, which enables the classic loopy belief propagation (BP) algorithm for approximate inference and parameter estimation. Although two commonly used approximate inference methods, such as variational Bayes (VB) and collapsed Gibbs sampling (GS), have gained great success in learning LDA, the proposed BP is competitive in both speed and accuracy, as validated by encouraging experimental results on four large-scale document datasets. Furthermore, the BP algorithm has the potential to become a generic scheme for learning variants of LDA-based topic models in the collapsed space. To this end, we show how to learn two typical variants of LDA-based topic models, such as author-topic models (ATM) and relational topic models (RTM), using BP based on the factor graph representations.

A pedagogical model for simulation-based learning in healthcare

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Tuulikki Keskitalo

2015-11-01

Full Text Available The aim of this study was to design a pedagogical model for a simulation-based learning environment (SBLE in healthcare. Currently, simulation and virtual reality are a major focus in healthcare education. However, when and how these learning environments should be applied is not well-known. The present study tries to fill that gap. We pose the following research question: What kind of pedagogical model supports and facilitates students’ meaningful learning in SBLEs? The study used design-based research (DBR and case study approaches. We report the results from our second case study and how the pedagogical model was developed based on the lessons learned. The study involved nine facilitators and 25 students. Data were collected and analysed using mixed methods. The main result of this study is the refined pedagogical model. The model is based on the socio-cultural theory of learning and characteristics of meaningful learning as well as previous pedagogical models. The model will provide a more holistic and meaningful approach to teaching and learning in SBLEs. However, the model requires evidence and further development.

COMPUTER-ASSISTED CONTROL OF ACADEMIC PERFORMANCE IN ENGINEERING GRAPHICS WITHIN THE FRAMEWORK OF DISTANCE LEARNING PROGRAMMES

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Tel'noy Viktor Ivanovich

2012-10-01

Full Text Available Development of computer-assisted computer technologies and their integration into the academic activity with a view to the control of the academic performance within the framework of distance learning programmes represent the subject matter of the article. The article is a brief overview of the software programme designated for the monitoring of the academic performance of students enrolled in distance learning programmes. The software is developed on Delphi 7.0 for Windows operating system. The strength of the proposed software consists in the availability of the two modes of its operation that differ in the principle of the problem selection and timing parameters. Interim academic performance assessment is to be performed through the employment of computerized testing procedures that contemplate the use of a data base of testing assignments implemented in the eLearning Server media. Identification of students is to be performed through the installation of video cameras at workplaces of students.

Benchmarking Deep Learning Models on Large Healthcare Datasets.

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Purushotham, Sanjay; Meng, Chuizheng; Che, Zhengping; Liu, Yan

2018-06-04

Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications. However, few works exist which have benchmarked the performance of the deep learning models with respect to the state-of-the-art machine learning models and prognostic scoring systems on publicly available healthcare datasets. In this paper, we present the benchmarking results for several clinical prediction tasks such as mortality prediction, length of stay prediction, and ICD-9 code group prediction using Deep Learning models, ensemble of machine learning models (Super Learner algorithm), SAPS II and SOFA scores. We used the Medical Information Mart for Intensive Care III (MIMIC-III) (v1.4) publicly available dataset, which includes all patients admitted to an ICU at the Beth Israel Deaconess Medical Center from 2001 to 2012, for the benchmarking tasks. Our results show that deep learning models consistently outperform all the other approaches especially when the 'raw' clinical time series data is used as input features to the models. Copyright © 2018 Elsevier Inc. All rights reserved.

Model of inductive plasma production assisted by radio-frequency wave in tokamaks

International Nuclear Information System (INIS)

Hasegawa, Makoto; Hanada, Kazuaki; Sato, Kohnosuke

2007-01-01

For initial plasma production, an induction electric field generated by applying voltage to a poloidal field (PF) coil system is used to produce a Townsend avalanche breakdown. When the avalanche margins are small, as for the International Thermonuclear Experimental Reactor (ITER) in which the induction electric field is about 0.3 V/m, the assistance of radio-frequency waves (RF) is provided to reduce the induction electric field required for reliable breakdown. However, the conditions of RF-assisted breakdown are not clear. Here, the effects of both RF and induction electric field on the RF-assisted breakdown are evaluated considering the electron loss. When traveling loss is the dominant loss, a simple model of an extended Townsend avalanche is proposed. In this model, the induction electric field required for RF-assisted breakdown can be decreased to half that required for induction breakdown. (author)

Student Modelling in Adaptive E-Learning Systems

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Clemens Bechter

2011-09-01

Full Text Available Most e-Learning systems provide web-based learning so that students can access the same online courses via the Internet without adaptation, based on each student's profile and behavior. In an e-Learning system, one size does not fit all. Therefore, it is a challenge to make e-Learning systems that are suitably “adaptive”. The aim of adaptive e-Learning is to provide the students the appropriate content at the right time, means that the system is able to determine the knowledge level, keep track of usage, and arrange content automatically for each student for the best learning result. This study presents a proposed system which includes major adaptive features based on a student model. The proposed system is able to initialize the student model for determining the knowledge level of a student when the student registers for the course. After a student starts learning the lessons and doing many activities, the system can track information of the student until he/she takes a test. The student’s knowledge level, based on the test scores, is updated into the system for use in the adaptation process, which combines the student model with the domain model in order to deliver suitable course contents to the students. In this study, the proposed adaptive e-Learning system is implemented on an “Introduction to Java Programming Language” course, using LearnSquare software. After the system was tested, the results showed positive feedback towards the proposed system, especially in its adaptive capability.

E-Model for Online Learning Communities.

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Rogo, Ellen J; Portillo, Karen M

2015-10-01

The purpose of this study was to explore the students' perspectives on the phenomenon of online learning communities while enrolled in a graduate dental hygiene program. A qualitative case study method was designed to investigate the learners' experiences with communities in an online environment. A cross-sectional purposive sampling method was used. Interviews were the data collection method. As the original data were being analyzed, the researchers noted a pattern evolved indicating the phenomenon developed in stages. The data were re-analyzed and validated by 2 member checks. The participants' experiences revealed an e-model consisting of 3 stages of formal learning community development as core courses in the curriculum were completed and 1 stage related to transmuting the community to an informal entity as students experienced the independent coursework in the program. The development of the formal learning communities followed 3 stages: Building a Foundation for the Learning Community, Building a Supportive Network within the Learning Community and Investing in the Community to Enhance Learning. The last stage, Transforming the Learning Community, signaled a transition to an informal network of learners. The e-model was represented by 3 key elements: metamorphosis of relationships, metamorphosis through the affective domain and metamorphosis through the cognitive domain, with the most influential element being the affective development. The e-model describes a 4 stage process through which learners experience a metamorphosis in their affective, relationship and cognitive development. Synergistic learning was possible based on the interaction between synergistic relationships and affective actions. Copyright © 2015 The American Dental Hygienists’ Association.

Hierarchical Bayesian Models of Subtask Learning

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Anglim, Jeromy; Wynton, Sarah K. A.

2015-01-01

The current study used Bayesian hierarchical methods to challenge and extend previous work on subtask learning consistency. A general model of individual-level subtask learning was proposed focusing on power and exponential functions with constraints to test for inconsistency. To study subtask learning, we developed a novel computer-based booking…

Car-following Behavior Model Learning Using Timed Automata

NARCIS (Netherlands)

Zhang, Yihuan; Lin, Q.; Wang, Jun; Verwer, S.E.; Dochain, D.; Henrion, D.; Peaucelle, D.

Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of car-following using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common

Computer-aided-design-model-assisted absolute three-dimensional shape measurement.

Science.gov (United States)

Li, Beiwen; Bell, Tyler; Zhang, Song

2017-08-20

Conventional three-dimensional (3D) shape measurement methods are typically generic to all types of objects. Yet, for many measurement conditions, such a level of generality is inessential when having the preknowledge of the object geometry. This paper introduces a novel adaptive algorithm for absolute 3D shape measurement with the assistance of the object computer-aided-design (CAD) model. The proposed algorithm includes the following major steps: (1) export the 3D point cloud data from the CAD model; (2) transform the CAD model into the camera perspective; (3) obtain a wrapped phase map from three phase-shifted fringe images; and (4) retrieve absolute phase and 3D geometry assisted by the CAD model. We demonstrate that if object CAD models are available, such an algorithm is efficient in recovering absolute 3D geometries of both simple and complex objects with only three phase-shifted fringe images.

A New Model of Multiphonon Excitation Trap-Assisted Band-to-Band Tunneling

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J. Racko

2012-04-01

Full Text Available The paper describes a new approach to calculating the currents in a pn-diode based on the extension of the Shockley-Read-Hall recombination-generation model. The presented theory is an alternative to Schenk’s model of trap-assisted tunneling. The new approach takes into account generation and recombination as well as tunneling processes in pn-junctions. Using this model, the real “soft” I-V curve usually observed in the case of switching diodes and transistors was modeled as a result of the high concentration of traps that assist in the process of tunneling.

Bio-Inspired Neural Model for Learning Dynamic Models

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