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Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
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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
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Alian, Marwah; Shaout, Adnan – Education and Information Technologies, 2017
Learners style is grouped into four types mainly; Visual, auditory, kinesthetic and Read/Write. Each type of learners learns primarily through one of the main receiving senses, visual, listening, or by doing. Learner style has an effect on the learning process and learner's achievement. It is better to select suitable learning tool for the learner…
Descriptors: Prediction, Cognitive Style, Models, Student Characteristics
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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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Benedetti, Christopher – Journal of College Teaching & Learning, 2015
This article examines the characteristics and challenges of online instruction and presents a model for improving learner adaptation in an online classroom. Instruction in an online classroom presents many challenges, including learner individualization. Individual differences in learning styles and preferences are often not considered in the…
Descriptors: Models, Online Courses, Electronic Learning, Student Adjustment
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Santangelo, Tanya; Tomlinson, Carol Ann – Action in Teacher Education, 2012
Using a cross-sectional survey design, this study was conducted to explore teacher educators' perceptions and use of differentiated instruction practices. Data were collected using an original questionnaire that was designed to reflect Tomlinson's model of differentiation. Although the results suggest some congruence between teacher educators'…
Descriptors: Individualized Instruction, Teacher Attitudes, Teacher Educators, Teacher Surveys
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Al-Jumaily, Samir – Indian Journal of Applied Linguistics, 2011
The study suggests a general model that could guarantee the cooperation between teachers and their students to overcome the difficulties encountered in ESP learning. It tries to join together different perspectives in the research of adult education, specifically in the teaching of English for Specific Purposes. It also provides some sort of trust…
Descriptors: Models, Adult Students, English for Special Purposes, Teaching Methods
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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
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Zhang, Ke; Bonk, Curtis J. – Canadian Journal of Learning and Technology, 2008
This paper critically reviews various learning preferences and human intelligence theories and models with a particular focus on the implications for online learning. It highlights a few key models, Gardner's multiple intelligences, Fleming and Mills' VARK model, Honey and Mumford's Learning Styles, and Kolb's Experiential Learning Model, and…
Descriptors: Online Courses, Student Diversity, Preferences, Cognitive Style
Bass, Ronald K.; Hand, James D. – 1978
This chapter outlines the measurement and interpretation of cognitive style using the conceptual structure of Educational Cognitive Style and the Educational Sciences developed by Dr. Joseph Hill and others. The measurement and interpretation of 36 aspects of cognitive style are discussed, as well as the use of cognitive style mapping (the graphic…
Descriptors: Cognitive Mapping, Cognitive Measurement, Cognitive Style, Individualized Instruction
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Haensly, Patricia A.; And Others – Roeper Review, 1980
Five pieces focus on task commitment in gifted students. A discussion on assessment of task commitment is followed by articles from the perspectives of kindergarten, elementary, and middle school teachers and a parent. (CL)
Descriptors: Cognitive Style, Elementary Education, Gifted, Independent Study
Karrer, Urs – 1988
This paper examines and critiques several learning style inventories (LSI) in an effort to find the optimal research instrument for a proposed empirical study of both the quality of courseware and the impact of courseware characteristics on variations of learning effectiveness due to learner characteristics. Five LSIs are examined: (1) Dunn LSI;…
Descriptors: Aptitude Treatment Interaction, Cognitive Measurement, Cognitive Style, Comparative Analysis
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
Alomyan, Hesham – International Education Journal, 2004
In the past ten years the Web has attracted many educators for purposes of teaching and learning. The main advantage of the Web lies in its non-linear interaction. That is, students can have more control over their learning paths. However, this freedom of control may cause problems for some students, such as disorientation, cognitive overload and…
Descriptors: Individual Differences, Internet, Teacher Educators, Teaching Methods
Martorella, Peter H. – 1979
This analysis considers several major areas in which cognition research would seem to have pregnant implications for the conscious design of social studies texts and sketches the ways in which the structure of texts might be shaped if research were applied. The first area discussed is matching texts to significant user characterics. There are at…
Descriptors: Cognitive Processes, Cognitive Style, Educational Objectives, Educational Research
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