The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Self-Report is Indispensable to Assess Students’ Learning
Open accessAbstract
Self-report is required to assess mental states in nuanced ways. By implication, self-report is indispensable to capture the psychological processes driving human learning, such as learners’ emotions, motivation, strategy use, and metacognition. As shown in the contributions to this special issue, self-report related to learning shows convergent and predictive validity, and there are ways to further strengthen its power. However, self-report is limited to assess conscious contents, lacks temporal resolution, and is subject to response sets and memory biases. As such, it needs to be complemented by alternative measures. Future research on self-report should consider not only closed-response quantitative measures but also alternative self-report methodologies, make use of within-person analysis, and investigate the impact of respondents’ emotions on processes and outcomes of self-report assessments.
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The How of Survey Self-report: VAS-Likert-Slide-Swipe... Same difference?
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Insufficient Effort Responding in Surveys Assessing Self-Regulated Learning: Nuisance or Fatal Flaw?
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Experience and Meaning in Small-Group Contexts
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Flagged first, then by citations
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Cited by
Sorted by citations
Control-Value Theory: From Achievement Emotion to a General Theory of Human Emotions
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Fabriz, S., Mendzheritskaya, J., & Stehle, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.733554 · Cited by 453
A three-dimensional taxonomy of achievement emotions.
Pekrun, R. H., Marsh, H. W., Elliot, A. J., Stockinger, K., Perry, R. P., Vogl, E., Goetz, T., van Tilburg, W. A. P., Lüdtke, O., & Vispoel, W. P. (2022) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000448 · Cited by 390
Towards measuring cognitive load through multimodal physiological data
Vanneste, P., Raes, A., Morton, J., Bombeke, K., Acker, B. B. V., Larmuseau, C., Depaepe, F., & Noortgate, W. V. D. (2020) · Cognition Technology & Work · doi:10.1007/s10111-020-00641-0 · Cited by 193
Lichtenfeld, S., Pekrun, R. H., Marsh, H. W., Nett, U. E., & Reiss, K. M. (2022) · Journal of Educational Psychology · doi:10.1037/edu0000748 · Cited by 114
Metadata
- Authors
- Pekrun, R.
- Affiliations
- University of Essex (GB)
- Corresponding author
- Pekrun, Reinhard
- ORCID
- Pekrun, Reinhard
- Venue
- Frontline Learning Research
- Publisher
- EARLI
- Published
- 2020-03-30
- Volume
- 8
- Issue
- 3
- Pages
- 185-193
- ISSN
- 2295-3159 (ISSN-L)
- OpenAlex
- W3013946867
- Cited by
- 160
- References
- 25
- Citations by year
- 2026: 34 · 2025: 30 · 2024: 26 · 2023: 30 · 2022: 23 · 2021: 9 · 2020: 8
- FWCI
- 26.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Frontline Learning Research (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Education › Student Assessment and Feedback
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- self-report, student learning assessment, metacognition, learning emotions, student motivation, learning strategies, response sets, memory bias, within-person analysis, convergent validity, predictive validity
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