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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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.

Originalsprog	Engelsk
Titel	Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings : ICITL 2023
Redaktører	Yueh-Min Huang, Tânia Rocha
Antal sider	11
Forlag	Springer
Publikationsdato	1 aug. 2023
Sider	430-440
ISBN (Trykt)	978-3-031-40112-1
ISBN (Elektronisk)	978-3-031-40113-8
DOI	https://doi.org/10.1007/978-3-031-40113-8_42
Status	Udgivet - 1 aug. 2023
Begivenhed	International Conference of Innovative Technologies and Learning: ICITL 2023 - Porto Palachio, Porto, Portugal Varighed: 28 aug. 2023 → 30 aug. 2023 Konferencens nummer: 6 https://icitl.org/

Konference

Konference	International Conference of Innovative Technologies and Learning
Nummer	6
Lokation	Porto Palachio
Land/Område	Portugal
By	Porto
Periode	28/08/2023 → 30/08/2023
Internetadresse	https://icitl.org/

Navn	Lecture Notes in Computer Science
Vol/bind	14099
ISSN	0302-9743

Emneord

Learning analytics
Learning tools
Propositional Logic
Streamed Log Data
Syllogistics
Validity of Arguments

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

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Citationsformater

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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",

year = "2023",

month = aug,

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doi = "10.1007/978-3-031-40113-8_42",

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isbn = "978-3-031-40112-1",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "430--440",

editor = "Yueh-Min Huang and T{\^a}nia Rocha",

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",

url = "https://icitl.org/",

}

Øhrstrøm, P, Thorvaldsen, S & Jakobsen, D 2023, Learning Analytics Based on Streamed Log Data from a Course in Logic. i Y-M Huang & T Rocha (red), Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings: ICITL 2023. Springer, Lecture Notes in Computer Science, bind 14099, s. 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. red. / Yueh-Min Huang; Tânia Rocha. Springer, 2023. s. 430-440 (Lecture Notes in Computer Science, Bind 14099).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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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.

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KW - Learning tools

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KW - Syllogistics

KW - Validity of Arguments

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

Abstract

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Emneord

FN’s Verdensmål

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