Dataset for: Academic risk taking and teaching quality in higher education

DOI

Background: Academic risk taking (ART) is a type of learning-beneficial student engagement with a risk of making errors. Students for example respond to questions during seminars, even though they are not sure about the correctness of their answer. Next to a trait-component, ART is assumed to have a state component which can change depending on the context. Aims: In this study, we explore whether students’ ART differs by seminar belonging, and whether teaching quality explains these differences. Additionally, we consider the association between students’ goal orientation and ART. Sample: For this purpose, a sample of 381 university students nested in 38 seminars and instructors was acquired. Methods: Data was analyzed following a two-level structural equation modeling approach. Results: We find significant differences in students’ ART by seminar group, explaining between 11.0% and 16.3% of variance. Reproduction orientation in teaching seems to discourage ART. Conclusions: Our results contribute to an understanding of the multidimensional dynamics of teaching and learning, and offer implications for teaching quality development.

Dataset for: Hübner, V., & Pfost, M. (2024). Academic risk taking and teaching quality in higher education. In Learning and Instruction (Vol. 90, p. 101877). Elsevier BV. https://doi.org/10.1016/j.learninstruc.2024.101877

Identifier
DOI https://doi.org/10.23668/psycharchives.14075
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.14075
Provenance
Creator Hübner, Vanessa; Pfost, Maximilian
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID)
Publication Year 2024
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences