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Showing 1 to 15 of 17 results Save | Export
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Hariyanto, Didik; Triyono, Moch. Bruri; Köhler, Thomas – Knowledge Management & E-Learning, 2020
One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…
Descriptors: Usability, Electronic Learning, Individualized Instruction, Computer Assisted Instruction
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Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2017
The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…
Descriptors: Cognitive Style, Computer Science Education, Management Systems, Educational Resources
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Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
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Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
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Al-Azawei, Ahmed; Al-Bermani, Ali; Lundqvist, Karsten – Journal of Information Technology Education: Research, 2016
This study investigated the complex relationship among learning styles, gender, perceived satisfaction, and academic performance across four programming courses supported by an e-learning platform. A total of 219 undergraduate students from a public Iraqi university who recently experienced e-learning voluntarily took place in the study. The…
Descriptors: Cognitive Style, Programming, Foreign Countries, Undergraduate Students
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Yagci, Mustafa – Turkish Online Journal of Educational Technology - TOJET, 2016
High-level thinking and problem solving skill is one requirement of computer programming that most of the students experience problems with. Individual differences such as motivation, attitude towards programming, thinking style of the student, and complexity of the programming language have influence on students' success on programming. Thus,…
Descriptors: Blended Learning, Programming Languages, Success, Student Motivation
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Olsson, Marie; Mozelius, Peter; Collin, Jonas – Electronic Journal of e-Learning, 2015
Courses in virtual learning environments can leave recently enrolled participants in a state of loneliness, confusion and boredom. What course content is essential in the course, where can more information be found and which assignments are mandatory? Research has stated that learner control and motivation are crucial issues for successful online…
Descriptors: Questionnaires, Visualization, Electronic Learning, Programming
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Arguedas, Marta; Daradoumis, Thanasis; Xhafa, Fatos – Educational Technology & Society, 2016
Considering social and emotional competence in learning, "emotion awareness" aims to detect the emotions that students show during their learning interactions and make these emotions explicit to them. Being aware of their emotions, students become more conscious of their situation, what may prompt them to behavioral change. The main goal…
Descriptors: Student Motivation, Emotional Response, Self Concept, Consciousness Raising
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Al-Azawei, Ahmed; Lundqvist, Karsten – Electronic Journal of e-Learning, 2015
Online learning constitutes the most popular distance-learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent across all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model…
Descriptors: Student Attitudes, Online Courses, Psychometrics, Questionnaires
Dedic, Velimir; Markovic, Suzana – European Journal of Open, Distance and E-Learning, 2012
Implementing Web-based educational environment requires not only developing appropriate architectures, but also incorporating human factors considerations. User interface becomes the major channel to convey information in e-learning context: a well-designed and friendly enough interface is thus the key element in helping users to get the best…
Descriptors: Computer Interfaces, Computer Science Education, Programming, Correlation
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Yang, Tzu-Chi; Hwang, Gwo-Jen; Yang, Stephen Jen-Hwa – Educational Technology & Society, 2013
In this study, an adaptive learning system is developed by taking multiple dimensions of personalized features into account. A personalized presentation module is proposed for developing adaptive learning systems based on the field dependent/independent cognitive style model and the eight dimensions of Felder-Silverman's learning style. An…
Descriptors: Cognitive Style, Experimental Groups, Control Groups, Cognitive Ability
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Mehigan, Tracey J.; Pitt, Ian – International Journal of Game-Based Learning, 2012
Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…
Descriptors: Cognitive Style, Teaching Methods, Educational Games, Telecommunications
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Othman, Mahfudzah; Othman, Muhaini – Turkish Online Journal of Distance Education, 2012
This paper discusses the proposed model of the collaborative virtual learning system for the introductory computer programming course which uses one of the collaborative learning techniques known as the "Think-Pair-Share". The main objective of this study is to design a model for an online learning system that facilitates the…
Descriptors: Foreign Countries, Electronic Learning, Cognitive Style, Computer Assisted Instruction
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Salminen-Karlsson, Minna – Journal of Vocational Education and Training, 2009
This article argues that research on gender and adult learning too often regards men and women as unified and separate groups, and does not take intra-gender variation into account. It presents one possible approach to address this problem, in a study of 142 women and 35 men attending basic computer courses in Swedish municipal adult education…
Descriptors: Females, Computer Attitudes, Adult Education, Adult Learning
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Guthrie, Cameron – Journal of Information Systems Education, 2010
Project-based learning has been suggested as an appropriate pedagogy to prepare students in information systems for the realities of the business world. Web-based resources have been used to support such pedagogy with mixed results. The paper argues that the design of web-based learning support to cater to different learning styles may give…
Descriptors: Student Projects, Computer Assisted Instruction, Active Learning, Information Systems
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