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

Jieun Kim, Hokyoung Ryu, Norliza Katuk, Ruili Wang, Gyunghyun Choi

Research output: Journal PublicationArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-28
Number of pages28
JournalJournal of Educational Computing Research
Volume50
Issue number1
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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