Moeller_Spitzer_et_al_Surviving E-Learning_final (1).pdf (465.8 kB)
Evaluating students’ engagement with an online learning environment during and after COVID-19 related school closures: A survival analysis approach
journal contribution
posted on 2021-11-23, 13:47 authored by Markus Wolfgang Hermann Spitzer, Raphael Gutsfeld, Maria Wirzberger, Korbinian MoellerKorbinian MoellerBackground: Due to the COVID-19 pandemic schools all over the world were closed
and thereby students had to be instructed from distance. Consequently, the use of
online learning environments for online distance learning increased massively.
However, the perseverance of using online learning environments during and after
school closures remains to be investigated.
Method: We examined German students’ (n ≈ 300,000 students; ≈ 18 million
computed problem sets) engagement in an online learning environment for
mathematics by means of survival analysis.
Results: We observed that the total number of students who registered increased
considerably during and after school closures compared to the previous three years.
Importantly, however, the proportion of students engaged also decreased more rapidly
over time.
Conclusion: The application of survival analysis provided valuable insights into
students’ engagement in online learning - or conversely students’ increased dropout
rates - over time. Its application to educational settings allows to address a broader
range of questions on students’ engagement in online learning environments in the
future.
History
School
- Science
Department
- Mathematics Education Centre
Published in
Trends in Neuroscience and EducationVolume
25Publisher
Elsevier BVVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This paper was accepted for publication in the journal Trends in Neuroscience and Education and the definitive published version is available at https://doi.org/10.1016/j.tine.2021.100168Acceptance date
2021-11-14Publication date
2021-11-18Copyright date
2021ISSN
2211-9493Publisher version
Language
- en