Volume 8, 2020: Issue 1

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Replay-peak attention chart: A performance measure for improving online video lecture design


Nitza Geri, The Open University of Israel, Israel

Orna Kopolovich, Holon Institute of Technology, Israel

Amir Winer, The Open University of Israel, Israel


The ability to replay selected video segments is a major advantage of online video lectures. Replay is a learning instance that reflects active engagement. This paper develops the ‘replay-peak attention chart’ as a new performance measure of learner’s attention, based on the control chart concept, which is used for Statistical Process Control (SPC) in operations management. This study follows the design science research paradigm and employs a mixed methods methodology, combining quantitative learning analytics with qualitative analysis of notable segment replay instances by viewers of online video lectures. An analysis of a successful Massive Open Online Course (MOOC), titled “Negotiation Management” provides a proof-of-concept for the replay-peak attention chart, as a visual heuristic tool for identifying notable learning instances. The MOOC includes Educational Entertainment (edutainment) in the form of negotiation simulations which are presented as sitcoms, and are meant to increase learner engagement. From an attention economy perspective, the replay-peak attention chart may help instructors and designers to focus their limited attention resources on segments of online video lecture sessions that may require pedagogical interventions. This paper critically discusses the replay-peak attention chart conceptualization and its initial proof-of-concept. It suggests future research directions for substantiating the replay-peak attention chart, and investigating the effect of edutainment on online learning. The replay-peak attention chart is a dynamic descriptive performance measure, which has a promising potential to improve the design of effective online video lectures as an e-learning resource.


Replay-peak attention chart, online video lectures, attention economy, learning analytics, learning design, “Negotiation Management” MOOC, edutainment




Research paper


The Online Journal of Applied Knowledge Management (OJAKM), ISSN: 2325-4688


International Institute for Applied Knowledge Management (IIAKM)


20 February 2020


13 April 2020; 9 May 2020


10 May 2020

Accepting Editor:

Meir Russ