Online microlearning and student engagement in computer games higher education

Keywords: remote instruction, digital learning, segmenting, chunking, pandemic


Microlearning, in which lecture recordings are segmented into parts, saw renewed focus as a means of maintaining student engagement amid the challenging conditions of the COVID-19 pandemic. While many institutions shifted to remote provision with segmented lecture recordings, there is a lack of consensus about the length that these segments should be in order to best maintain engagement. Using a self-reported system of Likert-based diagnostics, 135 videos in use at Solent University’s computer games area were analysed. Ninety-four students were asked to agree or disagree with statements in the format ‘I understand X’, each tailored to the subject material of the video in question. Repeated questions before and after the video allowed for a change in confidence to be measured, as an indicator of engagement. The resulting 4198 responses showed an optimum range of 5–8 min overall. However, the year of study emerged as a significant factor in this regard – with an optimum range for first years at 6–12 min, and for second and third years at under 8 min. There is a need for institutional-level change in this area, as many institutions currently recommend use of lecture video segments far longer than either figure.


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Ahmad, N. (2017) ‘Video podcasts as a micro learning tool in a blended learning environment’, E-LEADER Macao 2017, pp. 1–7. Macau.

Andrew, S. (1998) ‘Self efficacy as a predictor of academic performance in science’, Journal of Advanced Nursing, vol. 27, pp. 596–603. doi: 10.1046/j.1365-2648.1998.00550.x

Axelson, R. D. & Flick, A. (2010) ‘Defining student engagement’, Change: The Magazine of Higher Learning, vol. 43, no. 1, pp. 38–43. doi: 10.1080/00091383.2011.533096

Bao, W. (2020) ‘COVID-19 and online teaching in higher education: a case study of Peking University’, Human Behaviour and Emerging Technologies, vol. 2, no. 2, pp. 113–115. doi: 10.1002/hbe2.191

Chan, J. C. (1991) ‘Response-order effects in Likert-type scales’, Educational and Psychological Measurement, vol. 51, no. 3, pp. 531–540. doi: 10.1177/0013164491513002

Clanton, J., et al., (2014) ‘The relationship between confidence and competence in the development of surgical skills’, Journal of Surgical Education, vol. 71, no. 3, pp. 405–412. doi: 10.1016/j.jsurg.2013.08.009

Costley, J., et al., (2020) ‘The effects of video lecture viewing strategies on cognitive load’, Journal of Computing in Higher Education, vol. 33, pp. 19–38. doi: 10.1007/s12528-020-09254-y

Doolittle, P. E., Bryant, L. H. & Chittum, J. R. (2014) ‘Effects of degree of segmentation and learner disposition on multimedia learning’, British Journal of Educational Technology, vol. 46, no. 6, pp.1333–1343. doi: 10.1111/bjet.12203

Downey, J. & Zeltmann, S. (2009) ‘The role of competence level in the self-efficacy–skills relationship: an empirical examination of the skill acquisition process and its implications for information technology training’, International Journal of Training and Development, vol. 13, no. 2, pp. 96–110. doi: 10.1111/j.1468-2419.2009.00320.x

Expósito, A., et al., (2020) ‘Examining the use of instructional video clips for teaching macroeconomics’, Computers & Education, vol. 144, article no. 103709. doi: 10.1016/j.compedu.2019.103709

Federal Communications Commission. (2012) Measuring Broadband in America – July 2012, [online] Available at:

Federal Communications Commission. (2018) Measuring Broadband in America – Eighth Report, [online] Available at:

Fereday, J. & Muir-Cochrane, E. (2006) ‘The role of performance feedback in the self-assessment of competence: a research study with nursing clinicians’, Collegian, vol. 13, no. 1, pp. 10–15. doi: 10.1016/S1322-7696(08)60511-9

Fredricks, J. A., Blumenfeld, P. C. & Paris, A. H. (2004) ‘School engagement: potential of the concept, state of the evidence’, Review of Educational Research, vol. 74, no. 1, pp. 59–109. doi: 10.3102/00346543074001059

Gairín, J., et al., (2014) ‘Student dropout rates in Catalan universities: profile and motives for disengagement’, Quality in Higher Education, vol. 20, no. 2, pp. 165–182. doi: 10.1080/13538322.2014.925230

Guo, P. J., Kim, J. & Rubin, R. (2014) ‘How video production affects student engagement: an empirical study of MOOC videos’, L@S ‘14, Atlanta, GA, pp. 41–50. doi: 10.1145/2556325.2566239

Hug, T. (2005) ‘Micro learning and narration’, Fourth Media in Transition Conference, Cambridge, MA, pp. 1–13.

Lange, C. & Costley, J. (2020) ‘Improving online video lectures: learning challenges created by media’, International Journal of Educational Technology in Higher Education, vol. 17, p. 16. doi: 10.1186/s41239-020-00190-6

Lee, M. (2020) ‘Why microlearning is a necessity amid the pandemic’, The Jakarta Post, [online] Available at:

Mango, O. (2015) ‘iPad use and student engagement in the classroom’, The Turkish Online Journal of Educational Technology, vol. 14, no. 1, pp. 53–57.

Newmann, F., Wehlage, G., and Lamborn, S. 1992. The Significance and Sources of Student Engagement. In: Newmann, F., Ed. 1992. Student Engagement and Achievement in American Secondary Schools. New York: Teacher’s College, Columbia University. pp. 11–39

Ozan, O. & Ozarslan, Y. (2016) ‘Video lecture watching behaviors of learners in online courses’, Educational Media International, vol. 53, no. 1, pp. 27–41. doi: 10.1080/09523987.2016.1189255

Paura, L. & Arhipova, I. (2014) ‘Cause analysis of student’s dropout rate in higher education study program’, Procedia – Social Behavioural Sciences, vol. 109, pp. 1282–1286. doi: 10.1016/j.sbspro.2013.12.625

Perry, M. (2017) ‘Learning trend: microlearning’, Canadian Journal of Medical Laboratory Science, vol. 79, no. 2, p. 7.

Reamer, F. (2013) ‘Distance and online social work education: novel ethical challenges’, Journal of Teaching in Social Work, vol. 33, pp. 369–384. doi:

Rickley, M. & Kemp, P. (2021) ‘The effect of video lecture design and production quality on student outcomes: a Quasi-experiment with implications for online teaching during the Covid-19 pandemic’, SSRN Electronic Journal, vol. 19, no. 3, pp. 170–185. doi:

Terrion, J. & Aceti, V. (2012) ‘Perceptions of the effects of clicker technology on student learning and engagement: a study of freshmen Chemistry students’, Research in Learning Technology, vol. 20, no. 2, pp. 1–11. doi: 10.3402/rlt.v20i0.16150

UCU. (2020) UCU Coronavirus Advice, [online] Available at:

Van der Meij, H. (2017) ‘Reviews in instructional video’, Computers & Education, vol. 114, pp. 164–174. doi: 10.1016/j.compedu.2017.07.002

Van der Meij, H., Rensink, I. & Van der Meij, J. (2017). ‘Effects of practice with videos for software training’, Computers in Human Behavior, vol. 89, pp. 439–445. doi: 10.1016/j.chb.2017.11.029

Viner, R. M., et al., (2020) ‘School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review’, The Lancet Child & Adolescent Health, vol. 4, no. 5, pp. 397–404. doi: 10.1016/S2352-4642(20)30095-X

Whatley, J. & Ahmad, A. (2007) ‘Using video to record summary lectures to aid students’ revision’, Interdisciplinary Journal of e-Skills and Lifelong Learning, vol. 3, pp.185–196. doi: 10.28945/393

How to Cite
McKeeC., & NtokosK. (2022). Online microlearning and student engagement in computer games higher education. Research in Learning Technology, 30.
Original Research Articles