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Enhancing competence and autonomy in computer-based instruction using a skill-challenge balancing strategy

Kim, Jieun and Ryu, Hokyoung and Katuk, Norliza and Wang, Ruili and Choi, Gyunghyun (2014) Enhancing competence and autonomy in computer-based instruction using a skill-challenge balancing strategy. Journal of Educational Computing Research, 50 (1). pp. 1-28. ISSN 0735-6331

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Abstract

The present study aims to show if a skill-challenge balancing (SCB) instruction strategy can assist learners to motivation-ally engage in computer-based learning. Csikszentmihalyi's flow theory (self-control, curiosity, focus of attention, and intrinsic interest) was applied to an account of the optimal learning experience in SCB-based learning activities. Two empirical studies were carried out, where a group of learners were taught “Computer Networks” as part of a statutory curriculum at a tertiary institution. The empirical results suggested that a degree of self-control to compensate for the fully automatic SCB instruction strategy (i.e., competence and autonomy) would be of a greater value for learning motivation enhancement in adaptive computer-based learning systems.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Computing
Depositing User: Dr. Norliza Katuk
Date Deposited: 17 Feb 2016 09:01
Last Modified: 19 May 2016 02:13
URI: https://repo.uum.edu.my/id/eprint/17173

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