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

Permanent lenke
https://hdl.handle.net/10037/33216
DOI
https://doi.org/10.1007/978-3-031-40113-8_42
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article.pdf (464.4Kb)
Akseptert manusversjon (PDF)
Dato
2023-08-01
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Forfatter
Øhrstrøm, Peter; Thorvaldsen, Steinar; Jakobsen, David
Sammendrag
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.
Forlag
Springer Nature
Sitering
Øhrstrøm, Thorvaldsen S, Jakobsen. Learning Analytics Based on Streamed Log Data from a Course in Logic. Lecture Notes in Computer Science (LNCS). 2023;14099:430-440
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