ENHANCING COMPETENCE AND AUTONOMY IN COMPUTER-BASED INSTRUCTION USING A SKILL-CHALLENGE BALANCING STRATEGY

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초록

The present study aims to show if a skill-challenge balancing (SCB) instruction strategy can assist learners to motivationally 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.

키워드

SELF-DETERMINATION THEORYLEARNING ENVIRONMENTSINTRINSIC MOTIVATIONPRIOR KNOWLEDGESYSTEMPERFORMANCEDESIGN
제목
ENHANCING COMPETENCE AND AUTONOMY IN COMPUTER-BASED INSTRUCTION USING A SKILL-CHALLENGE BALANCING STRATEGY
저자
Kim, JieunRyu, HokyoungKatuk, NorlizaWang, RuiliChoi, Gyunghyun
DOI
10.2190/EC.50.1.a
발행일
2014-05
유형
Article
저널명
Journal of Educational Computing Research
50
1
페이지
1 ~ 28