Supporting instructors in the design of actionable feedback for MOOCs

PROCEEDINGS OF THE 2022 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON 2022)(2022)

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摘要
The provision of feedback in Massive Open Online Courses (MOOCs) is a non-trivial task for instructors. Current Learning Analytics (LA) solutions provide opportunities for scaling up such feedback strategies. Yet, most of these solutions lack course contextualization and guidance for MOOC instructors. This paper presents a conceptual framework and a web-based tool aimed at supporting instructors in the design and enactment of feedback strategies within MOOC learning designs. Both the framework and the tool are based on a structured process and include a set of catalogues facilitating the reflection and (re)design of these strategies. Additionally, this paper reports an evaluation of the framework catalogues and the usefulness of the framework process in an online workshop (N=11). As part of this ongoing work, we also explored the experience of participants with the tool. The results are positive, highlighting the usefulness of the framework catalogues, especially for non-experienced MOOC instructors. We envision that the initial evidence gathered can contribute to research on conceptual and technological tools supporting feedback design, and to promote the synergy among LA and human-centered approaches in MOOC settings.
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关键词
MOOCs, Feedback Design, MOOC Instructors, FeeD4Mi, FeeD4MiTool
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