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.
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Notes
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We have anonymized the name of the university to protect the privacy of the participants in the study.
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References
Long, P.D., Siemens, G.: Penetrating the Fog: analytics in learning and education. Edacause Rev. 46(5), 31–40 (2011)
Oranje, A., Gorin, J., Jia, Y., Kerr, D.: Collecting, analyzing and interpreting response time: eye-tracking and log data. In: Ercikan, K., Pellegrino, J.W. (eds.) Validation of Score Meaning For the Next Generation of Assessments: The use of response processes, pp. 39–51. Routledge, New York (2019)
Øhrstrøm, P., Sandborg-Petersen, U., Thorvaldsen, S., Ploug, T.: Teaching logic through web-based and gamified quizzing of formal arguments. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds.) Scaling up Learning for Sustained Impact, pp. 410–423. Springer Berlin Heidelberg, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40814-4_32
Øhrstrøm, P., Sandborg-Petersen, U., Thorvaldsen, S., Ploug, T.: Teaching syllogistics through gamification and interactive proofs. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds.) Design for Teaching and Learning in a Networked World: 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15-18, 2015, Proceedings, pp. 609–612. Springer International Publishing, Cham (2015). https://doi.org/10.1007/978-3-319-24258-3_70
Øhrstrøm, P., Thorvaldsen, S., Sandborg-Petersen, U., Ploug, T.: Teaching propositional and syllogistic logic using e-learning tools. In: Rønningsbakk, L., Wu, T.-T., Sandnes, F.E., Huang, Y.-M. (eds.) ICITL 2019. LNCS, vol. 11937, pp. 854–864. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35343-8_89
Øhrstrøm, P., Thorvaldsen, S., Jakobsen, D.: Learning analytics based on streamed log data from a course in logic. In: Huang, Y.-M., Rocha, T. (eds.). Innovative Technologies and Learning, Proceedings: ICITL 2023, Lecture Notes in Computer Science, vol. 14099, pp. 430–440. Springer (2023)
Øhrstrøm, P., Ploug, T., Jakobsen, D.: Logisk set, 2nd edn. Metaphysica, Aalborg (2019)
Parry, W., Hacker, E.: Aristotelian Logic. State University of New York Press (1991)
Cohen, L., Manion, L., Morrison, K.: Research Methods in Education, 8th edn. Routledge, London (2018)
Horn, L.R.: From if to iff: conditional perfection as pragmatic strengthening. J. Pragmat. 32, 289–326 (2000)
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Jakobsen, D., Thorvaldsen, S., Øhrstrøm, P. (2024). Exploring Learning in Basic Logic Using Stored Log Data and Exam Data. In: Cheng, YP., Pedaste, M., Bardone, E., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2024. Lecture Notes in Computer Science, vol 14785. Springer, Cham. https://doi.org/10.1007/978-3-031-65881-5_12
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