The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
On the Validity of Student Evaluation of Teaching: The State of the Art
Abstract
This article provides an extensive overview of the recent literature on student evaluation of teaching (SET) in higher education. The review is based on the SET meta-validation model, drawing upon research reports published in peer-reviewed journals since 2000. Through the lens of validity, we consider both the more traditional research themes in the field of SET (i.e., the dimensionality debate, the ‘bias’ question, and questionnaire design) and some recent trends in SET research, such as online SET and bias investigations into additional teacher personal characteristics. The review provides a clear idea of the state of the art with regard to research on SET, thus allowing researchers to formulate suggestions for future research. It is argued that SET remains a current yet delicate topic in higher education, as well as in education research. Many stakeholders are not convinced of the usefulness and validity of SET for both formative and summative purposes. Research on SET has thus far failed to provide clear answers to several critical questions concerning the validity of SET.
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Cites
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Uttl, B., White, C. A., & Gonzalez, D. W. (2017) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2016.08.007 · Cited by 615
Contract cheating: a survey of australian university students
Bretag, T., Harper, R., Burton, M., Ellis, C., Newton, P., Rozenberg, P., Saddiqui, S., & van Haeringen, K. (2019) · Studies in Higher Education · doi:10.1080/03075079.2018.1462788 · Cited by 476
Englund, C., Olofsson, A. D., & Price, L. (2017) · Higher Education Research & Development · doi:10.1080/07294360.2016.1171300 · Cited by 423
A Century of Grading Research: Meaning and Value in the Most Common Educational Measure
Brookhart, S. M., Guskey, T. R., Bowers, A. J., McMillan, J. H., Smith, J. K., Smith, L. F., Stevens, M. T., & Welsh, M. E. (2016) · Review of Educational Research · doi:10.3102/0034654316672069 · Cited by 386
Predicting Instructor Performance Using Data Mining Techniques in Higher Education
Agaoglu, M. (2016) · IEEE Access · doi:10.1109/access.2016.2568756 · Cited by 183
Metadata
- Authors
- Spooren, P., Brockx, B., & Mortelmans, D.
- Venue
- Review of Educational Research
- Published
- 2013-12
- Volume
- 83
- Issue
- 4
- Pages
- 598-642
- ISSN
- 0034-6543 (ISSN-L)
- 1935-1046
- OpenAlex
- W2161307025
- Cited by
- 665
- References
- 170
- FWCI
- 132.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
