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dc.contributor.authorØhrstrøm, Peter
dc.contributor.authorThorvaldsen, Steinar
dc.contributor.authorJakobsen, David
dc.date.accessioned2024-04-02T09:52:17Z
dc.date.available2024-04-02T09:52:17Z
dc.date.created2023-08-08T11:10:01Z
dc.date.issued2023
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2023, 14099 430-440.
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/3124426
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.
dc.description.abstractLearning Analytics Based on Streamed Log Data from a Course in Logic
dc.language.isoeng
dc.titleLearning Analytics Based on Streamed Log Data from a Course in Logic
dc.title.alternativeLearning Analytics Based on Streamed Log Data from a Course in Logic
dc.typePeer reviewed
dc.typeBook chapter
dc.description.versionpublishedVersion
dc.source.pagenumber430-440
dc.source.volume14099
dc.source.journalLecture Notes in Computer Science (LNCS)
dc.identifier.doi10.1007/978-3-031-40113-8_42
dc.identifier.cristin2165543
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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