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Chen, Sherry – British Journal of Educational Technology, 2002
Discusses the effects of individual differences and cognitive styles on student learning in hypermedia programs and presents a cognitive model to illustrate how students with different cognitive styles react to non-linear learning in hypermedia by analyzing the findings of previous studies. Suggests implications for the design of hypermedia…
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Software Development, Courseware

Weller, Herman G.; And Others – Computers in the Schools, 1994
Discussion of hypermedia-based instruction (HBI) focuses on the effects of cognitive style on student achievement. The development of interactive software for eighth-grade students studying computer ethics is described; gender differences are examined; problems are identified; and information-accessing frequency is discussed. (LRW)
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Computer Literacy
Weller, Herman G.; And Others – Computing Teacher, 1992
Discussion of establishing students' values concerning the ethics of computer use highlights the design and development of a hypermedia program for eighth grade students that addresses computer ethics issues. Results of initial use of the program focus on the effect of cognitive style on students' learning. (eight references) (LRW)
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Literacy, Computer Software Development

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
Powell, Gary C.; Okey, James R. – Performance and Instruction, 1994
Discusses factors which influence performance when authoring multimedia instructional materials, including background knowledge, resource accessibility, learning and teaching styles, learning or job setting, access to expertise, performance support, cooperative learning, tutorials, models, online training, and expert guidance. (Contains six…
Descriptors: Authoring Aids (Programming), Cognitive Style, Computer Assisted Instruction, Computer Software Development
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
Ikegulu, Patricia R.; Ikegulu, T. Nelson – 1999
The primary purpose of this article is to review the literature on research studies conducted in the last five years on the effectiveness of window presentation strategies and the cognitive dependence status of field-dependent/independent (FD/FI) learners in a computer-mediated instruction (CMI). Secondary to this purpose is to summarize research…
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Computer Software Development
Schnackenberg, Heidi L.; Hilliard, Ann W. – 1998
This paper examines research studies of learner control in computer-based instruction (CBI) from 1987-1997. The review evaluates predictions and conclusions from previous literature reviews, in light of current research, and discusses the implications of recent findings for instructional development. Findings suggest that the positions that…
Descriptors: Academic Ability, Academic Achievement, Academic Aptitude, Cognitive Ability

Hativa, Nira – Mathematics Education Research Journal, 1992
Examined the problem-solving strategies of above average students (n=42) in grades 2-4 on problems involving forgotten or new material while practicing arithmetic with a computer. Identified the different problem-solving strategies used, sorted them into categories, and illustrated them with examples from students' protocols. Made suggestions for…
Descriptors: Academically Gifted, Arithmetic, Cognitive Style, Computer Assisted Instruction