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Li, Kuo-Chen; Chang, Maiga; Wu, Kuan-Hsing – Education Sciences, 2020
This research involved the design of a task-based dialogue system and evaluation of its learning effectiveness. Dialogue training still heavily depends on human communication with instant feedback or correction. However, it is not possible to provide a personal tutor for every English learner. With the rapid development of information technology,…
Descriptors: Task Analysis, Teaching Methods, Second Language Learning, Second Language Instruction
Zulfiani Zulfiani; Iwan Permana Suwarna; Sujiyo Miranto – Journal of Baltic Science Education, 2018
Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers' limitation in serving all students' learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL)…
Descriptors: Science Instruction, Cognitive Style, Intelligent Tutoring Systems, Teaching Methods
Lorenzo, Gonzalo; Pomares, Jorge; Lledo, Asuncion – Computers & Education, 2013
This paper presents the use of immersive virtual reality systems in the educational intervention with Asperger students. The starting points of this study are features of these students' cognitive style that requires an explicit teaching style supported by visual aids and highly structured environments. The proposed immersive virtual reality…
Descriptors: Intervention, Learning Strategies, Cognitive Style, Asperger Syndrome
Wang, Ya-huei; Liao, Hung-Chang – British Journal of Educational Technology, 2011
In the conventional English as a Second Language (ESL) class-based learning environment, teachers use a fixed learning sequence and content for all students without considering the diverse needs of each individual. There is a great deal of diversity within and between classes. Hence, if students' learning outcomes are to be maximised, it is…
Descriptors: Cognitive Style, Learning Motivation, Learning Processes, Individualized 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
Kelly, Declan – Journal of Educational Multimedia and Hypermedia, 2008
Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…
Descriptors: Multiple Intelligences, Computer Assisted Instruction, Educational Environment, Learner Controlled Instruction
Watson, Jason; Hardaker, Glenn – Campus-Wide Information Systems, 2005
Purpose: Seeks to show that the software development process is based on the premise to provide an enhanced e-learning environment by supporting individual learning styles and preferences through the use of emerging adaptive technologies that also enable performance evaluation in the context of meeting agreed learning outcomes.…
Descriptors: Computer Assisted Instruction, Cognitive Style, Management Systems, Intelligent Tutoring Systems
Gregg, Dawn G. – Learning Organization, 2007
Purpose: The purpose of this paper is to illustrate the advantages of using intelligent agents to facilitate the location and customization of appropriate e-learning resources and to foster collaboration in e-learning environments. Design/methodology/approach: This paper proposes an e-learning environment that can be used to provide customized…
Descriptors: Electronic Learning, Cognitive Style, Student Characteristics, Prior Learning
Bick, Alexander – Online Submission, 2005
Research during the past decade suggests that integrating computing technology in general, and mobile computers in particular, into the educational environment has positive effects. This is the first long-term study of high school Personal Digital Assistant use. It involved three-parts, 146 students during four years. Part one found that PDA use…
Descriptors: Computers, Computer Uses in Education, Academic Achievement, High School Students
Peer reviewedCrosby, Martha E.; Iding, Marie K. – Computer Assisted Language Learning, 1997
A study with 45 high school seniors investigated the relationship between performance in a computer-based 10-lesson science tutorial program and students' Myers-Briggs Type Indicator (MBTI) profiles. Results indicate performance differences in the program's two phases (knowledge acquisition and knowledge application) for all MBTI scales,…
Descriptors: Cognitive Style, Computer Assisted Instruction, Concept Formation, High School Students
Peer reviewedWatts, Noel – System, 1997
Examines the design features of interactive multimedia packages for second language learning. Focuses on the possible components of a design model and highlights the implications for program design. Concludes that to realize the high potential for interactive language learning multimedia, designers must develop a more learner-based orientation.…
Descriptors: Change Strategies, Cognitive Style, Computer Assisted Instruction, Courseware
Grigoriadou, Maria; Tsaganou, Grammatiki; Cavoura, Theodora – Educational Technology & Society, 2005
The Reflective Tutorial Dialogue System (ReTuDiS) is a system for learner modelling historical text comprehension through reflective dialogue. The system infers learners' cognitive profiles and constructs their learner models. Based on the learner model the system plans the appropriate--personalized for learners--reflective tutorial dialogue in…
Descriptors: Individualized Instruction, Cognitive Style, Communication Strategies, Discourse Analysis

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