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Witteman, M. J.; Segers, E. – Journal of Computer Assisted Learning, 2010
The modality learning effect proposes that learning is enhanced when information is presented in both the visual and the auditory domains (e.g. pictures and spoken information) compared with presenting information solely in the visual channel (e.g. pictures and written text). Most of the evidence for this effect comes from adults in a laboratory…
Descriptors: Intervention, Individual Differences, Elementary School Students, Adults
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Hsiao, I.-H.; Sosnovsky, S.; Brusilovsky, P. – Journal of Computer Assisted Learning, 2010
Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a…
Descriptors: Electronic Learning, Guidance, Individualized Instruction, Computer Software
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Popescu, E. – Journal of Computer Assisted Learning, 2010
Personalized instruction is seen as a desideratum of today's e-learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style-based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates…
Descriptors: Electronic Learning, Undergraduate Students, Cognitive Style, Individualized Instruction
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Scrimshaw, Peter – Journal of Computer Assisted Learning, 1988
Summarizes the results of a study that examined the importance of selecting suitable learning tasks for individual children and the role computers might play in this matching process. The discussion covers both programs that aid teachers in task selection and programs that allow children to choose their own tasks. (2 references) (CLB)
Descriptors: Child Development, Computer Assisted Instruction, Computer Managed Instruction, Computer Software