Abstract
University lecturers worldwide had to adopt to online teaching at very short notice due to restrictions related to COVID-19. This is a particular challenge for social sciences research methods education, which often requires face-to-face interactions.
Data from an online survey of lecturers (n = 105; March 2020) who teach social science methods and methodology at Austrian public universities was used to discuss their adaption behavior and the corresponding determinates. Consequently, a measure for the rate of adaption of teaching materials and methods per lecturer was constructed and a linear regression model employed to discuss the determinants of this adaption.
The results show the following: Understanding online teaching as a permanent solution for the future, the extent of an individual’s teaching load and a tenured employment were identified as significant influences fostering the adaption of teaching methods and materials to the online context. The predictors discovered differ from previous studies, and it has to be assumed that the adaption behavior in the wake of the pandemic had a profound impact on the ongoing digitalization of university education.
| Original language | English |
|---|---|
| Title of host publication | 7th International Conference on Higher Education Advances (HEAd'21) |
| Place of Publication | Valencia |
| Publisher | Editorial Universitat Politècnica de València |
| Number of pages | 8 |
| Volume | 7 |
| ISBN (Print) | 9788490489758 |
| Publication status | Published - Jun 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Fields of science
- 605007 Digital humanities
- 503006 Educational research
JKU Focus areas
- Digital Transformation
Projects
- 1 Finished
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Digitize! Computational Social Sciences during a digital and social transformation
Forstner, M. (Researcher), Hasengruber, K. (Researcher), Quatember, A. (Researcher), Bacher, J. (PI) & Prandner, D. (PI)
01.01.2020 → 31.12.2024
Project: Funded research › Federal / regional / local authorities
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