Exploring Learning in Basic Logic Using Stored Log Data and Exam Data

David Jakobsen; Steinar Thorvaldsen; Peter Øhrstrøm

doi:10.1007/978-3-031-65881-5_12

Exploring Learning in Basic Logic Using Stored Log Data and Exam Data

David Jakobsen^*, Steinar Thorvaldsen, Peter Øhrstrøm

^*Corresponding author for this work

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

Abstract

This paper presents how the analysis of log data generated in the context of a basic logic course may be used in the evaluation of the students’ learning during the course. It is shown how the analysis of the log data may give rise to rather detailed and profound knowledge on the learning challenges experienced by the students. In this way, we suggest that the systematic and detailed analysis of log data may lead to a more general approach to the evaluation of the learning during the courses in basic logic. One important observation is that the log data shows to what extent the students are able to benefit from a longer response time and therefore to what extent they can make use of the tools available to them. This may provide an important understanding of the students’ problems and challenges when working with basic logic.

Original language	English
Title of host publication	Innovative Technologies and Learning - 7th International Conference, ICITL 2024, Proceedings
Editors	Yu-Ping Cheng, Margus Pedaste, Emanuele Bardone, Yueh-Min Huang
Number of pages	11
Publisher	Springer
Publication date	2024
Pages	109-119
ISBN (Print)	9783031658808
DOIs	https://doi.org/10.1007/978-3-031-65881-5_12
Publication status	Published - 2024
Event	7th International Conference of Innovative Technologies and Learning, ICITL 2024 - Tartu, Estonia Duration: 14 Aug 2024 → 16 Aug 2024

Conference

Conference	7th International Conference of Innovative Technologies and Learning, ICITL 2024
Country/Territory	Estonia
City	Tartu
Period	14/08/2024 → 16/08/2024

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14785 LNCS
ISSN	0302-9743

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

basic logic
learning analytics
learning tools
Log data from courses
propositional logic
syllogistics
understanding basic logic
validity of arguments

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10.1007/978-3-031-65881-5_12

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Cite this

Jakobsen, David ; Thorvaldsen, Steinar ; Øhrstrøm, Peter. / Exploring Learning in Basic Logic Using Stored Log Data and Exam Data. Innovative Technologies and Learning - 7th International Conference, ICITL 2024, Proceedings. editor / Yu-Ping Cheng ; Margus Pedaste ; Emanuele Bardone ; Yueh-Min Huang. Springer, 2024. pp. 109-119 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14785 LNCS).

@inproceedings{2216c9d74fa142c48e4500a16a007995,

title = "Exploring Learning in Basic Logic Using Stored Log Data and Exam Data",

abstract = "This paper presents how the analysis of log data generated in the context of a basic logic course may be used in the evaluation of the students{\textquoteright} learning during the course. It is shown how the analysis of the log data may give rise to rather detailed and profound knowledge on the learning challenges experienced by the students. In this way, we suggest that the systematic and detailed analysis of log data may lead to a more general approach to the evaluation of the learning during the courses in basic logic. One important observation is that the log data shows to what extent the students are able to benefit from a longer response time and therefore to what extent they can make use of the tools available to them. This may provide an important understanding of the students{\textquoteright} problems and challenges when working with basic logic.",

keywords = "basic logic, learning analytics, learning tools, Log data from courses, propositional logic, syllogistics, understanding basic logic, validity of arguments",

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

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 7th International Conference of Innovative Technologies and Learning, ICITL 2024 ; Conference date: 14-08-2024 Through 16-08-2024",

year = "2024",

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Jakobsen, D, Thorvaldsen, S & Øhrstrøm, P 2024, Exploring Learning in Basic Logic Using Stored Log Data and Exam Data. in Y-P Cheng, M Pedaste, E Bardone & Y-M Huang (eds), Innovative Technologies and Learning - 7th International Conference, ICITL 2024, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14785 LNCS, pp. 109-119, 7th International Conference of Innovative Technologies and Learning, ICITL 2024, Tartu, Estonia, 14/08/2024. https://doi.org/10.1007/978-3-031-65881-5_12

Exploring Learning in Basic Logic Using Stored Log Data and Exam Data. / Jakobsen, David; Thorvaldsen, Steinar; Øhrstrøm, Peter.
Innovative Technologies and Learning - 7th International Conference, ICITL 2024, Proceedings. ed. / Yu-Ping Cheng; Margus Pedaste; Emanuele Bardone; Yueh-Min Huang. Springer, 2024. p. 109-119 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14785 LNCS).

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

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AU - Thorvaldsen, Steinar

AU - Øhrstrøm, Peter

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AB - This paper presents how the analysis of log data generated in the context of a basic logic course may be used in the evaluation of the students’ learning during the course. It is shown how the analysis of the log data may give rise to rather detailed and profound knowledge on the learning challenges experienced by the students. In this way, we suggest that the systematic and detailed analysis of log data may lead to a more general approach to the evaluation of the learning during the courses in basic logic. One important observation is that the log data shows to what extent the students are able to benefit from a longer response time and therefore to what extent they can make use of the tools available to them. This may provide an important understanding of the students’ problems and challenges when working with basic logic.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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ER -

Jakobsen D, Thorvaldsen S, Øhrstrøm P. Exploring Learning in Basic Logic Using Stored Log Data and Exam Data. In Cheng YP, Pedaste M, Bardone E, Huang YM, editors, Innovative Technologies and Learning - 7th International Conference, ICITL 2024, Proceedings. Springer. 2024. p. 109-119. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14785 LNCS). doi: 10.1007/978-3-031-65881-5_12

Exploring Learning in Basic Logic Using Stored Log Data and Exam Data

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Keywords

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