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Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Rivers, Damian J. – Journal of Educational Computing Research, 2021
Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Ursavas, Omer Faruk; Reisoglu, Ilknur – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers' Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles. Design/methodology/approach: Structural equation modeling approach was used to…
Descriptors: Cognitive Style, Structural Equation Models, Models, Validity
Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
Dorça, Fabiano Azevedo; Lima, Luciano Vieira; Fernandes, Márcia Aparecida; Lopes, Carlos Roberto – Informatics in Education, 2012
Considering learning and how to improve students' performances, an adaptive educational system must know how an individual learns best. In this context, this work presents an innovative approach for student modeling through probabilistic learning styles combination. Experiments have shown that our approach is able to automatically detect and…
Descriptors: Cognitive Style, Models, Automation, Probability
Aslan, Burak Galip; Öztürk, Özlem; Inceoglu, Mustafa Murat – Educational Sciences: Theory and Practice, 2014
Considering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman's Learning Styles Model and Felder and Soloman's Index of Learning Styles…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Cognitive Style
The Proposed Model of Collaborative Virtual Learning Environment for Introductory Programming Course
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
Botsios, Sotirios; Georgiou, Dimitrios A. – International Journal of Distance Education Technologies, 2009
Adaptation and personalization services in e-learning environments are considered the turning point of recent research efforts, as the "one-size-fits-all" approach has some important drawbacks, from the educational point of view. Adaptive Educational Hypermedia Systems in World Wide Web became a very active research field and the need of…
Descriptors: Electronic Learning, Educational Research, Literature Reviews, Standards
Peer reviewedBoyd, Gary McI.; Mitchell, P. David – Computers and Education, 1992
Discusses intelligent computer-aided learning (ICAL) support systems and considers learner characteristics as elements of ICAL student models. Cybernetic theory and attribute-treatment results are discussed, six components of a student model for tutoring are described, and methods for determining the student's model of the tutor are examined. (22…
Descriptors: Aptitude Treatment Interaction, Cognitive Style, Computer Assisted Instruction, Computer System Design
Economides, Anastasios A. – Multicultural Education & Technology Journal, 2008
Purpose: In a collaborative learning environment there will be many learners with diverse cultures. These learners should be supported to communicate and collaborate among themselves. The variety of the communication and collaboration tools and modes available to each learner would depend on his/her personal cultural background. The purpose of…
Descriptors: Cooperative Learning, Profiles, Educational Environment, Cultural Background
Nicholson, Jennifer; Nicholson, Darren; Valacich, Joseph S. – Journal of Information Technology Education, 2008
In today's knowledge economy, technology is utilized more than ever to deliver instructional material to the learner. Nonetheless, information may not always be presented in a manner that maximizes the learning experience, resulting in a negative impact on learning outcomes. Drawing on the Task-Technology Fit model, a research framework was…
Descriptors: Cognitive Style, Instructional Design, Computer Assisted Instruction, Instructional Materials
Tsoi, Mun Fie – Interactive Technology and Smart Education, 2009
Purpose: Research on the nature of blended learning and its features has led to a variety of approaches to the practice of blended learning. The purpose of this paper is to provide an alternative practice model, the TSOI hybrid learning model (HLM) to enhance the blended learning experiences in science education. Design/methodology/approach: The…
Descriptors: Electronic Learning, Feedback (Response), Constructivism (Learning), Web Sites
Grabowski, Barbara; Pearson, Robert – 1988
This paper describes the development of a conceptual framework for conducting research using computer based interactive video and a generic disc as research tools. It is argued that computer based interactive video represents the beginnings of a truly computer based learning system. An altered version of the 1984 Grabowski and Whitney conceptual…
Descriptors: Cognitive Style, Computer Assisted Instruction, Field Dependence Independence, Instructional Design

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