
doi: 10.5334/jime.528
handle: 11541.2/27603
The concept of student engagement has become somewhat of an enigma for educators and researchers, with ongoing discussions about its nature and complexity, and criticism about the depth and breadth of theorising and operationalisation within empirical research. This equally applies to research conducted in the field of educational technology and its application in schools and higher education. Recognising the inherent role that technology now plays in education, and the potential it has to engage students, this paper draws on a range of student engagement literature and conceptualises a provisional bioecological framework of student engagement that explicitly includes technology as one influential factor. This paper first proposes a definition of student engagement and provides an exploration of positive student engagement indicators. It then presents a bioecological framework, and the microsystemic facets of technology, teacher and curriculum are further explored in their relation to fostering student engagement. Based on this framework, implications for further theory-based research into student engagement and its relation to educational technology are discussed and recommendations for educators are given.
bioecological model, higher education, student engagement, theoretical framework, K-12, educational technology, Theory and practice of education, LB5-3640
bioecological model, higher education, student engagement, theoretical framework, K-12, educational technology, Theory and practice of education, LB5-3640
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 193 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
