Learning Analytics Based on Streamed Log Data from a Course in Logic
Permanent lenke
https://hdl.handle.net/10037/33216Dato
2023-08-01Type
Journal articleTidsskriftartikkel
Peer reviewed
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 NatureSitering
Øhrstrøm, Thorvaldsen S, Jakobsen. Learning Analytics Based on Streamed Log Data from a Course in Logic. Lecture Notes in Computer Science (LNCS). 2023;14099:430-440Metadata
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