Learning Analytics Based on Streamed Log Data from a Course in Logic

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Innovative Technologies and Learning (ICITL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14099))

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Abstract

This paper describes the analysis of streamed log data generated from the use of two specific e-learning tools in the context of a basic logic course taught and evaluated at Aalborg University, Denmark, during the period from September 2022 to January 2023. The students’ work with the two kinds of basic logic introduced in the course, classical syllogistics and elementary propositional logic is analysed using the stored log data. Furthermore, using stored log data it is also discussed whether anything is gained if we change the order in which the two topics are presented during the course.

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Correspondence to David Jakobsen .

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Øhrstrøm, P., Thorvaldsen, S., Jakobsen, D. (2023). Learning Analytics Based on Streamed Log Data from a Course in Logic. In: Huang, YM., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2023. Lecture Notes in Computer Science, vol 14099. Springer, Cham. https://doi.org/10.1007/978-3-031-40113-8_42

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  • DOI: https://doi.org/10.1007/978-3-031-40113-8_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40112-1

  • Online ISBN: 978-3-031-40113-8

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