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Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
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
Partridge, Susan – 1993
Some students do not "take to" computers as a learning tool. Reasons for this include inappropriate software; use of the same software for all students rather than accommodation of different interests, needs, and learning styles; and various handicaps (both physical and mental). For example, many students prefer a holistic approach;…
Descriptors: Autoinstructional Aids, Cognitive Style, Computer Assisted Instruction, Computer Software Evaluation

Cordell, Barbara J. – Computers and Education, 1991
Describes study of health care employees that was designed to determine whether learning styles affect outcomes of learning with two computer-assisted instruction (CAI) design strategies, linear and branching. Use of the 4MAT Learning Styles Inventory is explained, and implications of the results for educators and courseware designers are…
Descriptors: Adult Learning, Analysis of Variance, Branching, Cognitive Style
Benaloh, Laurie A. – 1993
This research was an exploratory study of which teachers, students, and teacher-student combinations benefit most from a particular aspect of computer-assisted instruction. The study is based on teacher and student evaluations of different teaching styles while using instructional software. Three teaching styles (monitoring, coordinating, and…
Descriptors: Cognitive Style, Comparative Analysis, Computer Assisted Instruction, Computer Software Development