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Leveraging Learners’ Activity Logs for Course Reading Analytics Using Session-Based Indicators

Abstract : A challenge that course authors face when reviewing their contents is to detect how to improve their courses in order to meet the expectations of their learners. rnIn this paper, we propose an analytical approach that exploits learners' logs of reading to provide authors with insightful data about the consumption of their courses. rnWe first model reading activity using the concept of reading-session and propose a new and efficient session identification. We then elaborate a list of indicators computed using learners' reading sessions that allow to represent their behaviour and to infer their needs. We evaluate our proposals with course authors and learners using logs from a major e-learning platform. Interesting results were found. This demonstrates the effectiveness of the approach in identifying aspects and parts of a course that may prevent it from being easily read and understood, and for guiding the authors through the analysis and review tasks.
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https://hal.archives-ouvertes.fr/hal-01984011
Contributor : Yannick Prié Connect in order to contact the contributor
Submitted on : Wednesday, September 21, 2022 - 2:20:47 PM
Last modification on : Thursday, December 1, 2022 - 10:58:10 AM

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Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

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Madjid Sadallah, Benoît Encelle, Azzeddine Maredj, Yannick Prié. Leveraging Learners’ Activity Logs for Course Reading Analytics Using Session-Based Indicators. International journal of technology enhanced learning, 2020, 12, 1 (53-78), ⟨10.1504/IJTEL.2020.103815⟩. ⟨hal-01984011⟩

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