ENHANCING COMPETENCE AND AUTONOMY IN COMPUTER-BASED INSTRUCTION USING A SKILL-CHALLENGE BALANCING STRATEGY
- Title
- ENHANCING COMPETENCE AND AUTONOMY IN COMPUTER-BASED INSTRUCTION USING A SKILL-CHALLENGE BALANCING STRATEGY
- Author
- 김지은
- Keywords
- SELF-DETERMINATION THEORY; LEARNING ENVIRONMENTS; INTRINSIC MOTIVATION; PRIOR KNOWLEDGE; SYSTEM; PERFORMANCE; DESIGN; MODEL
- Issue Date
- 2014-10
- Publisher
- SAGE Publications
- Citation
- Journal of Educational Computing Research; 2014, Vol. 50, Issue 1, p1-28, 28p
- Abstract
- 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.
- URI
- http://journals.sagepub.com/doi/10.2190/EC.50.1.ahttp://journals.sagepub.com/doi/abs/10.2190/EC.50.1.ahttp://hdl.handle.net/20.500.11754/54979
- ISSN
- 0735-6331; 1541-4140
- DOI
- 10.2190/EC.50.1.a; 10.2190/EC.50.1.a
- Appears in Collections:
- GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > TECHNOLOGY MANAGEMENT(기술경영학과) > Articles
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