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Effects of Feedback in a Computer-Based Learning Environment on Students’ Learning Outcomes: A Meta-Analysis
Abstract
In this meta-analysis, we investigated the effects of methods for providing item-based feedback in a computer-based environment on students’ learning outcomes. From 40 studies, 70 effect sizes were computed, which ranged from −0.78 to 2.29. A mixed model was used for the data analysis. The results show that elaborated feedback (EF; e.g., providing an explanation) produced larger effect sizes (0.49) than feedback regarding the correctness of the answer (KR; 0.05) or providing the correct answer (KCR; 0.32). EF was particularly more effective than KR and KCR for higher order learning outcomes. Effect sizes were positively affected by EF feedback, and larger effect sizes were found for mathematics compared with social sciences, science, and languages. Effect sizes were negatively affected by delayed feedback timing and by primary and high school. Although the results suggested that immediate feedback was more effective for lower order learning than delayed feedback and vice versa, no significant interaction was found.
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“On the one hand, there is robust evidence that elaborate feedback with correct answers facilitates learning (Heckler and Mikula, 2016; Van der Kleij et al., 2015; Wisniewski et al., 2020).”
From Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning (2026) · cites this paper as Van der Kleij et al., 2015
In the citing paper
“However, non-layered feedback can be effective without layering (e.g., (Heckler and Mikula, 2016; Van der Kleij et al., 2015; Wisniewski et al., 2020)).”
From Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning (2026) · cites this paper as Van der Kleij et al., 2015
In the citing paper
“A particularly effective form of feedback provides the correct answer with an explanation of why it is the correct answer (Heckler and Mikula, 2016; Van der Kleij et al., 2015; Butler et al., 2013; Wisniewski et al., 2020).”
From Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning (2026) · cites this paper as Van der Kleij et al., 2015
In the citing paper
“These conclusions are further supported by meta-analytic evidence: a synthesis of 40 studies comprising 70 effect sizes revealed that elaborated feedback (e.g., providing explanations) produced a substantially larger mean effect size than feedback limited to correctness judgments or feedback providing only the correct answer (Van der Kleij et al., 2015).”
From Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning (2026) · cites this paper as Van der Kleij et al., 2015
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Clark, R. C., & Mayer, R. E. (2016) · doi:10.1002/9781119239086.ch13 · Cited by 2
Sharing practice on framing feedback around student development
Paterson, H., & McAleer, P. (2022) · Open Scholarship of Teaching and Learning · doi:10.56230/osotl.42 · Cited by 1
Mandorli, F., & Otto, H. E. (2024) · Computer-Aided Design and Applications · doi:10.14733/cadaps.2024.739-758 · Cited by 3
Video Dönütlerin Mesleki Beceri Eğitimi Öğrencilerinin Yansıtıcı Düşünme Becerilerine Etkisi
Arslankara, V. B., & Seferoğlu, S. S. (2024) · Ahi Evran Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.31592/aeusbed.1424510 · Cited by 1
Cubillos, C., Roncagliolo, S., Cabrera‐Paniagua, D., & Vicari, R. M. (2024) · Behavioral Sciences · doi:10.3390/bs14060488 · Cited by 6
“A study by Van der Kleij, Feskens, and Eggen [33] revealed that much research exists on elaborated feedback combined with KR or KCR in computer-based environments.”
ResultSöderström, S., Palm, T., & Granberg, C. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1374664 · Cited by 3
Zhu, X., Zhang, Y., Wang, L., Feng, Q., & Li, W. (2024) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste62025.2024.00064 · Cited by 1
Peer feedback in higher education: How students’ roles affect providing and receiving feedback
Stančić, M., Milin, V., & Gašić, A. (2024) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2024.101408 · Cited by 1
Clements, D. H., Guss, S. S., Sarama, J. H., & Alvarez-Vargas, D. (2024) · Computers in the Schools · doi:10.1080/07380569.2024.2410903 · Cited by 1
“…if needed, only then modeling, Clements, 1987; Kramarski & Weiss, 2007; Sarama & Clements, 2020a); • specific and informative (Sarama & Clements, 2020b; Van der Kleij et al., 2015); • immediate (as appropriate, children often build or problem solve for periods before any evaluation, as…”
Can Self Directed Learning Successfully Incorporated into Online Platforms
Brown, M., & Ma, R. (2025) · Journal of Modern Social Sciences · doi:10.71113/jmss.v2i1.157 · Cited by 6
Enhancing Feedback-Seeking Strategies Among Nursing Students: A Targeted Educational Intervention
Martens, S. A., Sparks, J., Davison, S., & Lypova, N. (2025) · Journal of Nursing Education · doi:10.3928/01484834-20250415-03 · Cited by 1
Powell, K. S., Rentzelas, P., & Kambouri, M. A. (2025) · Journal of Applied Social Psychology · doi:10.1111/jasp.70015 · Cited by 1
Wu, X., Ma, J., Shen, Y., Feng, J., Ma, S., & Li, W. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2565388 · Cited by 1
“The informative feedback groups outperformed the confirmatory feedback groups in terms of learning achievement, consistent with previous studies by Van der Kleij et al. (2015) and Jordan (2012).”
Lorenz, T., de Bruin, A. B. H., & Crutzen, R. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100818 · Cited by 1
Weinhandl, R., Baldinger, S., & Riegler, V. (2025) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-025-10619-x · Cited by 9
“Therefore, the general tendency that EF is generally the more helpful form of feedback compared to KR and KCR (Van der Kleij et al., 2015) cannot be confirmed by our study.”
InfluentialLu, X., Yang, Q., Wei, J. J., & Heffernan, N. T. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1654809 · Cited by 4
Metadata
- Authors
- Van der Kleij, F. M., Feskens, R. C. W., & Eggen, T. J. H. M.
- Affiliations
- Cito Institute for Educational Measurement and University of Twente
- Cito Institute for Educational Measurement
- University of Twente (NL)
- Venue
- Review of Educational Research
- Published
- 2015-12
- Volume
- 85
- Issue
- 4
- Pages
- 475-511
- ISSN
- 0034-6543 (ISSN-L)
- 1935-1046
- OpenAlex
- W2110661236
- Cited by
- 714
- References
- 76
- Citations by year
- 2026: 91 · 2025: 96 · 2024: 89 · 2023: 73 · 2022: 71 · 2021: 74 · 2020: 64 · 2019: 61 · 2018: 39 · 2017: 31 · 2016: 19 · 2015: 4
- FWCI
- 155.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Review of Educational Research (publishedVersion)
- University of Twente Research Information (publishedVersion)
- University of Twente Research Information (submittedVersion)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- elaborated feedback, computer-assisted instruction, learning outcomes, feedback timing, immediate feedback, delayed feedback, higher-order learning, mathematics learning
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