Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/108985
Title: Performance increases in mathematics during COVID-19 pandemic distance learning in Austria : evidence from an intelligent tutoring system for mathematics
Author(s): Spitzer, Markus Wolfgang HermannLook up in the Integrated Authority File of the German National Library
Möller, KorbinianLook up in the Integrated Authority File of the German National Library
Issue Date: 2023
Type: Article
Language: English
Abstract: Background: In 2020, school closures during the COVID-19 pandemic forced students all over the world to promptly alter their learning routines from in-person to distance learning. However, so far, only a limited number of studies from a few countries investigated whether school closures affected students’ performance within intelligent tutoring system—such as intelligent tutoring systems. Method: In this study, we investigated the effect of school closures in Austria by evaluating data (n = 168 students) derived from an intelligent tutoring system for learning mathematics, which students used before and during the first period of school closures. Results: We found that students’ performance increased in mathematics in the intelligent tutoring system during the period of school closures compared to the same period in previous years. Conclusion: Our results indicate that intelligent tutoring systems were a valuable tool for continuing education and maintaining student learning during school closures in Austria.
URI: https://opendata.uni-halle.de//handle/1981185920/110940
http://dx.doi.org/10.25673/108985
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Trends in Neuroscience and Education
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 31
Original Publication: 10.1016/j.tine.2023.100203
Appears in Collections:Open Access Publikationen der MLU

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