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 Hermann Möller, Korbinian |
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 |
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 |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S2211949323000066-main.pdf | 622.6 kB | Adobe PDF | View/Open |