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

Journal of Educational Computing Research (2014)

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


Abstract: This study aimed to show if a skill-challenge balancing (SCB) strategy could assist learners to cognitively and motivationally engage in computer-based learning. In order that, our empirical studies described how the concepts of flow experience (self-control, curiosity, focus of attention and intrinsic interest) might encompass, what triggers an optimal learning experience in computer-based instruction and what could be additionally achieved by the SCB instruction strategy, in terms of both competence and autonomy experience. Two experiments were carried out, where learners were taught ‘Computer Networks’ as part of a statutory curriculum at a tertiary institution. The empirical results suggest a potential role of computer-based learning tools that enable a degree of self-control within the SCB-based instruction

The motivational power to use computer-based instruction (CBI) is highly dependent on learner’s self-management (Chauncey & Azevedo, 2010) or self-determination, lack of which leads to higher drop-out rates and attrition. In this regard, we are interested in examining how intrinsic motivation can be managed in computer-based learning activities.
Link to read more,http://dx.doi.org/10.2190/EC.50.1.a