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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
Thompson, Merton E. – 1988
This paper proposes a method for studying the effect of an individual difference variable--field dependence-independence--on the ability of a student to read and understand text information presented on a computer screen. It is argued that in order to improve individualized instruction, learning must be related to predictions of what part of the…
Descriptors: Cognitive Style, College Students, Computer Assisted Instruction, Cues
Bassili, J. N. – Journal of Computer Assisted Learning, 2006
When presented with the option to use a new instructional technology, students often face an approach-avoidance conflict. This study explored promotion and prevention orientations, concepts linked to approach and avoidance in Higgins's regulatory focus theory, in the choice to attend lectures or watch them online. Openness, a core disposition in…
Descriptors: Personality Assessment, Internet, Teaching Methods, Individual Differences
Peer reviewedRicci, Christine M.; Beal, Carole R. – Journal of Educational Psychology, 2002
In order to examine the influence of interactive media on children's story memory, first-grade children experienced a computer-based story in one of four presentation modes, two of which were interactive. In the interaction groups, there was no relation between the amount of interaction with the story and subsequent memory. (Author)
Descriptors: Aptitude Treatment Interaction, Children, Comprehension, Computer Assisted Instruction
Dansereau, Donald F.; And Others – 1974
INSCAL multidimensional scaling, an objective methodology for formulating effective technical information sequences for computer-assisted instruction, was shown to be of value with respect to defining the information complexity of technical material, developing sequences of key concepts within technical material, and providing an index of expert…
Descriptors: Aptitude Treatment Interaction, College Students, Computer Assisted Instruction, Concept Teaching
Lasnik, Vincent E. – 1989
This paper describes the general rationale, hypotheses, methodology, findings and implications of a recent dissertation research project conducted in the Columbus, Ohio, public schools. The computer-based study investigated the simultaneous relationship between achievement in microeconomics and attitude toward economics, level of computer anxiety,…
Descriptors: Analysis of Variance, Cognitive Style, Computer Assisted Instruction, Economics Education
Hines, Stephen J.; Seidman, Steven A. – 1988
This study examined the effects of feedback (immediate, delayed, or no feedback) and the type of control (external or internal) on computer-assisted instruction (CAI), and also considered the influence on achievement of such factors as computer anxiety, self-concept, learning style, and gender. Subjects were 336 undergraduates, the majority of…
Descriptors: Academic Achievement, Cognitive Style, College Students, Computer Assisted Instruction
Canelos, James; And Others – 1985
Research was conducted to further investigate the results of an earlier 1985 study (Dwyer, et al.) which found that a moderately externally-paced microcomputer-based instructional program was more effective than either a self-paced or a more aggressive externally-paced condition. Instructional programs (heart parts and verbal labels) were…
Descriptors: Analysis of Variance, Cognitive Processes, Cognitive Style, Computer Assisted Instruction
Gay, Geraldine – 1985
The purpose of this study was to examine how learners with different levels of prior understanding of a topic interact and learn from computer-assisted video instruction systems when they have control of content, sequence, pace, and mode of instruction. Based on pretest scores, 80 subjects were randomly selected, half with low prior conceptual…
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Biology, Computer Assisted Instruction

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