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ENHANCING COMPETENCE AND AUTONOMY IN COMPUTER-BASED INSTRUCTION USING A SKILL-CHALLENGE BALANCING STRATEGY
- Kim, Jieun;
- Ryu, Hokyoung;
- Katuk, Norliza;
- Wang, Ruili;
- Choi, Gyunghyun
WEB OF SCIENCE
4SCOPUS
7초록
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
- 제목
- ENHANCING COMPETENCE AND AUTONOMY IN COMPUTER-BASED INSTRUCTION USING A SKILL-CHALLENGE BALANCING STRATEGY
- 저자
- Kim, Jieun; Ryu, Hokyoung; Katuk, Norliza; Wang, Ruili; Choi, Gyunghyun
- 발행일
- 2014-05
- 유형
- Article
- 권
- 50
- 호
- 1
- 페이지
- 1 ~ 28