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dc.contributor.authorØhrstrøm, Peter
dc.contributor.authorThorvaldsen, Steinar
dc.contributor.authorJakobsen, David
dc.date.accessioned2024-03-21T12:11:40Z
dc.date.available2024-03-21T12:11:40Z
dc.date.issued2023-08-01
dc.description.abstractThis 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.en_US
dc.identifier.citationØhrstrøm, Thorvaldsen S, Jakobsen. Learning Analytics Based on Streamed Log Data from a Course in Logic. Lecture Notes in Computer Science (LNCS). 2023;14099:430-440en_US
dc.identifier.cristinIDFRIDAID 2165543
dc.identifier.doi10.1007/978-3-031-40113-8_42
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/10037/33216
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relation.journalLecture Notes in Computer Science (LNCS)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.titleLearning Analytics Based on Streamed Log Data from a Course in Logicen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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