Abstract
AbstractDigital technology has become a central aspect of higher education, inherently affecting all aspects of the student experience. It has also been linked to an increase in behavioural, affective and cognitive student engagement, the facilitation of which is a central concern of educators. In order to delineate the complex nexus of technology and student engagement, this article systematically maps research from 243 studies published between 2007 and 2016. Research within the corpus was predominantly undertaken within the United States and the United Kingdom, with only limited research undertaken in the Global South, and largely focused on the fields of Arts & Humanities, Education, and Natural Sciences, Mathematics & Statistics. Studies most often used quantitative methods, followed by mixed methods, with little qualitative research methods employed. Few studies provided a definition of student engagement, and less than half were guided by a theoretical framework. The courses investigated used blended learning and text-based tools (e.g. discussion forums) most often, with undergraduate students as the primary target group. Stemming from the use of educational technology, behavioural engagement was by far the most often identified dimension, followed by affective and cognitive engagement. This mapping article provides the grounds for further exploration into discipline-specific use of technology to foster student engagement.
Funder
Bundesministerium für Bildung und Forschung
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Education
Reference167 articles.
1. Abdool, P. S., Nirula, L., Bonato, S., Rajji, T. K., & Silver, I. L. (2017). Simulation in undergraduate psychiatry: Exploring the depth of learner engagement. Academic Psychiatry : the Journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry, 41(2), 251–261. https://doi.org/10.1007/s40596-016-0633-9.
2. Alioon, Y., & Delialioğlu, Ö. (2017). The effect of authentic m-learning activities on student engagement and motivation. British Journal of Educational Technology, 32, 121. https://doi.org/10.1111/bjet.12559.
3. Alrasheedi, M., Capretz, L. F., & Raza, A. (2015). A systematic review of the critical factors for success of mobile learning in higher education (university students’ perspective). Journal of Educational Computing Research, 52(2), 257–276. https://doi.org/10.1177/0735633115571928.
4. Al-Sakkaf, A., Omar, M., & Ahmad, M. (2019). A systematic literature review of student engagement in software visualization: A theoretical perspective. Computer Science Education, 29(2–3), 283–309. https://doi.org/10.1080/08993408.2018.1564611.
5. Andrew, L., Ewens, B., & Maslin-Prothero, S. (2015). Enhancing the online learning experience using virtual interactive classrooms. Australian Journal of Advanced Nursing, 32(4), 22–31.
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