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.
Originalsprog | Engelsk |
---|---|
Titel | Innovative Technologies and Learning - 7th International Conference, ICITL 2024, Proceedings |
Redaktører | Yu-Ping Cheng, Margus Pedaste, Emanuele Bardone, Yueh-Min Huang |
Antal sider | 11 |
Forlag | Springer Science+Business Media |
Publikationsdato | 2024 |
Sider | 109-119 |
ISBN (Trykt) | 9783031658808 |
DOI | |
Status | Udgivet - 2024 |
Begivenhed | 7th International Conference of Innovative Technologies and Learning, ICITL 2024 - Tartu, Estland Varighed: 14 aug. 2024 → 16 aug. 2024 |
Konference
Konference | 7th International Conference of Innovative Technologies and Learning, ICITL 2024 |
---|---|
Land/Område | Estland |
By | Tartu |
Periode | 14/08/2024 → 16/08/2024 |
Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Vol/bind | 14785 LNCS |
ISSN | 0302-9743 |
Bibliografisk note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.