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Bayounes, Walid; Saâdi, Ines Bayoudh; Kinshuk – Smart Learning Environments, 2023
Previous research on adaptive learning successfully demonstrated that use of Intentional Model for Educational Processes Guidance has gained popularity in Intelligent Tutoring System. Within this context, the novelty of this version of Intentional Model of Pedagogical Process Guidance (IMPPG) is the effectiveness use of Cognitive Trait Model to be…
Descriptors: Student Characteristics, Individual Differences, Teaching Methods, Intention
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Yang, Junfeng; Huang, Ronghuai; Kinshuk – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Students grown up with digital technology and Internet are called digital natives or net generation. All others, who grew up without so much immersion with digital technologies are called digital immigrants. Researchers held different ideas on whether a new generation of learners existed. One of the foci of the debate is on the appropriateness of…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Elementary Secondary Education
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Liu, Tzu-Chien; Kinshuk; Lin, Yi-Chun; Wang, Ssu-Chin – British Journal of Educational Technology, 2012
Simulation-based computer-assisted learning (CAL) is emerging as new technologies are finding a place in mainstream education. Dynamically linked multiple representations (DLMRs) is at the core of simulation-based CAL. DLMRs includes multiple visual representations, and it enables students to manipulate one representation and to immediately…
Descriptors: Computer Assisted Instruction, Computer Simulation, Visual Aids, Cognitive Style
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Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables
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Chen, Nian-Shing; Kinshuk; Wei, Chun-Wang; Liu, Chia-Chi – Computers & Education, 2011
Reflection plays an important role in improving learning performance. This study, therefore, attempted to explore whether learners' reflection levels can be improved if teaching strategies are adapted to fit with learners' thinking styles in an online learning environment. Three teaching strategies, namely constructive, guiding, and inductive,…
Descriptors: Undergraduate Students, Graduate Students, Educational Environment, Thinking Skills
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Graf, Sabine; Kinshuk; Liu, Tzu-Chien – Educational Technology & Society, 2009
In learning management systems (LMSs), teachers have more difficulties to notice and know how individual students behave and learn in a course, compared to face-to-face education. Enabling teachers to know their students' learning styles and making students aware of their own learning styles increases teachers' and students' understanding about…
Descriptors: Cognitive Style, Management Systems, Online Courses, Teaching Methods
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Kinshuk; Liu, Tzu-Chien; Graf, Sabine – Educational Technology Research and Development, 2009
Although learning styles are considered as an important factor in education, students often have to learn in courses that do not support their learning styles. A challenge for technology facilitated learning is therefore to assist and help students to cope with courses that do not match their learning styles by training and developing their less…
Descriptors: Cognitive Style, Online Courses, Student Behavior, Learning Processes
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Viola, Silvia Rita; Graf, Sabine; Kinshuk; Leo, Tommaso – Interactive Technology and Smart Education, 2007
Learning styles are incorporated more and more in e-education, mostly in order to provide adaptivity with respect to the learning styles of students. For identifying learning styles, at the present time questionnaires are widely used. While such questionnaires exist for most learning style models, their validity and reliability is an important…
Descriptors: Cognitive Style, Validity, Questionnaires, Correlation
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Karampiperis, Pythagoras; Lin, Taiyu; Sampson, Demetrios G.; Kinshuk – Innovations in Education and Teaching International, 2006
Adaptive cognitive-based selection is recognized as among the most significant open issues in adaptive web-based learning systems. In order to adaptively select learning resources, the definition of adaptation rules according to the cognitive style or learning preferences of the learners is required. Although some efforts have been reported in…
Descriptors: Cognitive Style, Models, Web Based Instruction, Learning Strategies
Graf, Sabine; Viola, Silvia Rita; Leo, Tommaso; Kinshuk – Journal of Research on Technology in Education, 2007
Learning styles are increasingly being incorporated into technology-enhanced learning. Appropriately, a great deal of recent research work is occurring in this area. As more information and details about learning styles becomes available, learning styles can be better accommodated and integrated into all aspects of educational technology. The aim…
Descriptors: Cognitive Style, Legislators, Educational Technology, Learning Processes