Studying physics during the COVID-19 pandemic: Student assessments of learning achievement, perceived effectiveness of online recitations, and online laboratories
Pascal Klein, Lana Ivanjek, Merten Nikolay Dahlkemper, Katarina, Jeli\v{c}i\'c, Marie-Annette Geyer, Stefan K\"uchemann, Ana Susac

TL;DR
This study investigates physics students' perceptions of online learning during COVID-19, focusing on assessments, laboratories, and recitations, revealing factors influencing perceived effectiveness and learning achievement across different student demographics.
Contribution
It provides empirical insights into students' perceptions of online physics courses and identifies key factors affecting perceived learning success during the pandemic.
Findings
Good communication and self-organization skills enhance perceived learning achievement.
First-year students report lower perceived achievement and skill acquisition.
Real data collection in labs is vital for developing experimental skills.
Abstract
The COVID-19 pandemic has significantly affected the education system worldwide that was responding with a sudden shift to distance learning. Various physics courses such as lectures, tutorials, and the laboratories had to be transferred into online formats rapidly, resulting in a variety of simultaneous, asynchronous, and mixed activities. To investigate how physics students perceived the sudden shift to online learning, we developed a questionnaire and gathered data from N = 578 physics students from five universities in Germany, Austria, and Croatia. In this article, we report how the problem-solving sessions (recitations) and laboratories were adapted, how students' judge different formats of the courses and how useful and effective they perceive them. The results are correlated to the students' self-efficacy ratings and other behavioral measures (such as self-regulated learning…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
