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

Peter Øhrstrøm; Steiner Thorvaldsen; David Jakobsen

doi:10.1007/978-3-031-40113-8_42

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

Peter Øhrstrøm, Steiner Thorvaldsen, David Jakobsen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings : ICITL 2023
Editors	Yueh-Min Huang, Tânia Rocha
Number of pages	11
Publisher	Springer
Publication date	1 Aug 2023
Pages	430-440
ISBN (Print)	978-3-031-40112-1
ISBN (Electronic)	978-3-031-40113-8
DOIs	https://doi.org/10.1007/978-3-031-40113-8_42
Publication status	Published - 1 Aug 2023
Event	International Conference of Innovative Technologies and Learning: ICITL 2023 - Porto Palachio, Porto, Portugal Duration: 28 Aug 2023 → 30 Aug 2023 Conference number: 6 https://icitl.org/

Conference

Conference	International Conference of Innovative Technologies and Learning
Number	6
Location	Porto Palachio
Country/Territory	Portugal
City	Porto
Period	28/08/2023 → 30/08/2023
Internet address	https://icitl.org/

Series	Lecture Notes in Computer Science
Volume	14099
ISSN	0302-9743

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10.1007/978-3-031-40113-8_42

StreamedLogDataMay2023Accepted author manuscript, 446 KB

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title = "Learning Analytics Based on Streamed Log Data from a Course in Logic",

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{\textquoteright} 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.",

keywords = "Learning analytics, Learning tools, Propositional Logic, Streamed Log Data, Syllogistics, Validity of Arguments",

author = "Peter {\O}hrstr{\o}m and Steiner Thorvaldsen and David Jakobsen",

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booktitle = "Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings",

address = "Germany",

note = "International Conference of Innovative Technologies and Learning ; Conference date: 28-08-2023 Through 30-08-2023",

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Øhrstrøm, P, Thorvaldsen, S & Jakobsen, D 2023, Learning Analytics Based on Streamed Log Data from a Course in Logic. in Y-M Huang & T Rocha (eds), Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings: ICITL 2023. Springer, Lecture Notes in Computer Science, vol. 14099, pp. 430-440, International Conference of Innovative Technologies and Learning, Porto, Portugal, 28/08/2023. https://doi.org/10.1007/978-3-031-40113-8_42

Learning Analytics Based on Streamed Log Data from a Course in Logic. / Øhrstrøm, Peter; Thorvaldsen, Steiner; Jakobsen, David.
Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings: ICITL 2023. ed. / Yueh-Min Huang; Tânia Rocha. Springer, 2023. p. 430-440 (Lecture Notes in Computer Science, Vol. 14099).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Thorvaldsen, Steiner

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N2 - 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.

AB - 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.

KW - Learning analytics

KW - Learning tools

KW - Propositional Logic

KW - Streamed Log Data

KW - Syllogistics

KW - Validity of Arguments

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EP - 440

BT - Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings

A2 - Huang, Yueh-Min

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T2 - International Conference of Innovative Technologies and Learning

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ER -

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

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