The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
The instructional effect of feedback in test-like events.
Abstract
Feedback is an essential construct for many theories of learning and instruction, and an understanding of the conditions for effective feedback should facilitate both theoretical development and instructional practice. In an early review of feedback effects in written instruction, Kulhavy (1977) proposed that feedback’s chief instructional significance is to correct errors. This error-correcting action was thought to be a function of presentation timing, response certainty, and whether students could merely copy answers from feedback without having to generate their own. The present meta-analysis reviewed 58 effect sizes from 40 reports. Feedback effects were found to vary with control for presearch availability, type of feedback, use of pretests, and type of instruction and could be quite large under optimal conditions. Mediated intentional feedback for retrieval and application of specific knowledge appears to stimulate the correction of erroneous responses in situations where its mindful ( Salomon & Globerson, 1987 ) reception is encouraged.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Previous meta-analyses have produced inconsistent results of feedback on cognitive variables (Kulik and Kulik, 1988; Bangert-Drowns et al., 1991; Azevedo and Bernard, 1995; Kluger and DeNisi, 1996; Lyster and Saito, 2010) and significant heterogeneity remains within the sub-group defined by this moderator in our analysis.”
From The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research (2020) · cites this paper as Bangert-Drowns et al., 1991
Citations
Cites
From dissertation abstracts international
(1974) · ACM SIGGRAPH Computer Graphics · doi:10.1145/988616.988619 · Cited by 12,208
Handbook of research on teaching
Wittrock, M. C. (1986) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 10,630
Pierce, W. D., & Bandura, A. (1977) · The Canadian Journal of Sociology · doi:10.2307/3340496 · Cited by 9,742
Meta-analysis in social research
(1982) · Evaluation and Program Planning · doi:10.1016/0149-7189(82)90011-8 · Cited by 3,896
The role of expectations and attributions in the alleviation of learned helplessness.
Dweck, C. S. (1975) · Journal of Personality and Social Psychology · doi:10.1037/h0077149 · Cited by 1,315
Cognitive Conceptions of Learning
Shuell, T. J. (1986) · Review of Educational Research · doi:10.3102/00346543056004411 · Cited by 1,177
Timing of feedback and verbal learning.
Kulik, J. A., & Kulik, C.-L. C. (1988) · Review of Educational Research · doi:10.3102/00346543058001079 · Cited by 703
Self-citationFeedback in written instruction: The place of response certitude
Kulhavy, R. W., & Stock, W. (1989) · Educational Psychology Review · doi:10.1007/bf01320096 · Cited by 579
Feedback in Written Instruction
Kulhavy, R. W. (1977) · Review of Educational Research · doi:10.3102/00346543047002211 · Cited by 571 · cited 7×
“Reviewing research on feedback effects in written instruction, Kulhavy (1977) generated four propositions.”
BackgroundMethodResultInfluentialStudent Interaction and Learning in Small Groups
Webb, N. M. (1982) · Review of Educational Research · doi:10.3102/00346543052003421 · Cited by 494
Research works printed but not linked: 26
- Anane FJK, 1987, Dissertation Abstracts International, 48, 2831A
- Arnett PP, 1985, Dissertation Abstracts International, 46, 2537A
- Aumiller LE, 1963, Dissertation Abstracts International, 24, 5187
- Brown RS, 1964, Dissertation Abstracts International, 24, 2356
- Bumgarner KM, 1984, Dissertation Abstracts International, 45, 1102A
- Carels EJ, 1975, Dissertation Abstracts International, 36, 2094A
- Chanond K, 1988, Paper presented at the annual meeting of the Association for Educational Communications and Technology
- Clark RE, 1987, Paper presented at the annual meeting of the American Educational Research Association
- Clodfelder DL, 1968, Dissertation Abstracts International, 29, 2217B
- Csikszentmihalyi M, 1978, The hidden costs of reward, 205
- Elliot BA, 1986, Dissertation Abstracts International, 47, 2971A
- Gherfal IR, 1982, Dissertation Abstracts International, 43, 147A
- Heald HM, 1970, Dissertation Abstracts International, 31, 1621A
- Hirsch RS, 1952, The effects of knowledge of test results on learning meaningful material
- Hoffman BS, 1974, Dissertation Abstracts International, 35, 6006A
- Hough JB, 1963, Phi Delta Kappan, 44, 286
- Hyman C, 1981, Paper presented at the annual meeting of the Northeastern Educational Research Association
- Hymel GM, 1980, Paper presented at the annual meeting of the American Educational Research Association
- Miechenbaum D, 1985, Thinking and learning skills, Vol. 2: Research and open questions
- Olson GH, 1971, Dissertation Abstracts International, 32, 6214A
- Pressey SL, 1926, School and Society, 23, 373
- Schimmel BJ, 1983, Paper presented at the annual meeting of the American Educational Research Association
- Shuell TJ, 1980, Aptitude, learning, and instruction. Vol. 2: Cognitive process analyses of learning and problem-solving, 277
- Snow RE, 1972, Paper presented at the annual meeting of the American Educational Research Association
- Tobias S, 1984, Paper presented at the annual meeting of the American Educational Research Association
- Tsao PK, 1977, Dissertation Abstracts International, 39, 1426A
Cited by
Sorted by citations
Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905
Assessment and Classroom Learning
Black, P., & Wiliam, D. (1998) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969595980050102 · Cited by 8,152
Shute, V. J. (2008) · Review of Educational Research · doi:10.3102/0034654307313795 · Cited by 4,631
“2 Bangert-Drowns, Kulik, Kulik, and Morgan (1991) Bangert-Drowns et al. (1991) examined 40 research studies on feedback using metaanalysis techniques.”
BackgroundInfluentialFeedback and Self-Regulated Learning: A Theoretical Synthesis
Butler, D. L., & Winne, P. H. (1995) · Review of Educational Research · doi:10.3102/00346543065003245 · Cited by 3,334
The critical role of retrieval practice in long-term retention
Roediger, H. L., & Butler, A. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.09.003 · Cited by 1,796
Interactive Multimodal Learning Environments
Moreno, R., & Mayer, R. E. (2007) · Educational Psychology Review · doi:10.1007/s10648-007-9047-2 · Cited by 2,043
What is assessment for learning
Wiliam, D. (2011) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2011.03.001 · Cited by 1,282
The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research
Wisniewski, B., Zierer, K., & Hattie, J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.03087 · Cited by 1,199
“Previous meta-analyses have produced inconsistent results of feedback on cognitive variables (Kulik and Kulik, 1988; Bangert-Drowns et al., 1991; Azevedo and Bernard, 1995; Kluger and DeNisi, 1996; Lyster and Saito, 2010) and significant heterogeneity remains within the sub-group defined by this…”
The Effects of School-Based Writing-to-Learn Interventions on Academic Achievement: A Meta-Analysis
Bangert-Drowns, R. L., Hurley, M. M., & Wilkinson, B. (2004) · Review of Educational Research · doi:10.3102/00346543074001029 · Cited by 802
Self-citationState of the science in health professional education: effective feedback
Archer, J. C. (2010) · Medical Education · doi:10.1111/j.1365-2923.2009.03546.x · Cited by 783
Building Intelligent Interactive Tutors : student-centered strategies for revolutionizing e-learning
Woolf, B. P. (2009) · HAL · Cited by 716
Van der Kleij, F. M., Feskens, R. C. W., & Eggen, T. J. H. M. (2015) · Review of Educational Research · doi:10.3102/0034654314564881 · Cited by 714
Improving the effectiveness of peer feedback for learning
Gielen, S., Peeters, E., Dochy, F., Onghena, P., & Struyven, K. (2010) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.08.007 · Cited by 615
Test-enhanced learning in medical education
Larsen, D. P., Butler, A. C., & Roediger III, H. L. (2008) · Medical Education · doi:10.1111/j.1365-2923.2008.03124.x · Cited by 610
The nature of feedback: How different types of peer feedback affect writing performance
Nelson, M. M., & Schunn, C. D. (2009) · Instructional Science · doi:10.1007/s11251-008-9053-x · Cited by 602
Promoting Learning and Achievement Through Self-Assessment
Andrade, H., & Valtcheva, A. (2009) · Theory Into Practice · doi:10.1080/00405840802577544 · Cited by 558
Collaborative dialogue patterns in naturalistic one‐to‐one tutoring
Graesser, A. C., Person, N. K., & Magliano, J. P. (1995) · Applied Cognitive Psychology · doi:10.1002/acp.2350090604 · Cited by 546
Metcalfe, J. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-010416-044022 · Cited by 615
Mory, E. H. (2013) · doi:10.4324/9781410609519-40 · Cited by 496
Repeated testing produces superior transfer of learning relative to repeated studying.
Butler, A. C. (2010) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0019902 · Cited by 492
‘In praise of educational research’: formative assessment
Black, P., & Wiliam, D. (2003) · British Educational Research Journal · doi:10.1080/0141192032000133721 · Cited by 466
Shute, V. J. (2007) · ETS Research Report Series · doi:10.1002/j.2333-8504.2007.tb02053.x · Cited by 482
Feedback enhances the positive effects and reduces the negative effects of multiple-choice testing
Butler, A. C., & Roediger, H. L. (2008) · Memory & Cognition · doi:10.3758/mc.36.3.604 · Cited by 457
Testing improves long-term retention in a simulated classroom setting
Butler, A. C., & Roediger, H. L. (2007) · European Journal of Cognitive Psychology · doi:10.1080/09541440701326097 · Cited by 434
Assessment, feedback and the alchemy of learning
Watling, C., & Ginsburg, S. (2018) · Medical Education · doi:10.1111/medu.13645 · Cited by 461
A review of feedback models and typologies: Towards an integrative model of feedback elements
Panadero, E., & Lipnevich, A. A. (2022) · Educational Research Review · doi:10.1016/j.edurev.2021.100416 · Cited by 389
Feedback Strategies for Interactive Learning Tasks
Narciss, S. (2007) · doi:10.4324/9780203880869.ch11 · Cited by 389
The Role of Classroom Assessment in Teaching and Learning
Shepard, L. A. (2001) · Cited by 380
The Concept of Formative Assessment
Boston, C. (2020) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · doi:10.7275/kmcq-dj31 · Cited by 355
Self and Peer Assessment in School and University: Reliability, Validity and Utility
Topping, K. J. (2006) · Kluwer Academic Publishers eBooks · doi:10.1007/0-306-48125-1_4 · Cited by 374
Examining the testing effect with open‐ and closed‐book tests
Agarwal, P. K., Karpicke, J. D., Kang, S. H. K., Roediger, H. L., III, & McDermott, K. B. (2007) · Applied Cognitive Psychology · doi:10.1002/acp.1391 · Cited by 368
Formative Assessment and Writing: A Meta-Analysis
Graham, S., Hebert, M., & Harris, K. R. (2015) · The Elementary School Journal · doi:10.1086/681947 · Cited by 340
Correcting a metacognitive error: Feedback increases retention of low-confidence correct responses.
Butler, A. C., Karpicke, J. D., & Roediger, H. L., III (2008) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.34.4.918 · Cited by 361
The role of feedback and self-efficacy on web-based learning: The social cognitive perspective
Wang, S., & Wu, P.-Y. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.03.004 · Cited by 327
The effect of type and timing of feedback on learning from multiple-choice tests.
Butler, A. C., Karpicke, J. D., & Roediger, H. L. (2007) · Journal of Experimental Psychology: Applied · doi:10.1037/1076-898x.13.4.273 · Cited by 321
OECD (2010) · Educational research and innovation · doi:10.1787/9789264086487-en · Cited by 418
A Theory-Based Meta-Analysis of Research on Instruction.
Marzano, R. J. (1998) · Cited by 309
A Meta-Analysis of the Effects of Feedback in Computer-Based Instruction
Azevedo, R., & Bernard, R. M. (1995) · Journal of Educational Computing Research · doi:10.2190/9lmd-3u28-3a0g-ftqt · Cited by 308
Web‐based peer assessment: feedback for students with various thinking‐styles
Lin, S. S. J., Liu, E. Z. F., & Yuan, S. (2001) · Journal of Computer Assisted Learning · doi:10.1046/j.0266-4909.2001.00198.x · Cited by 305
A Meta-Analysis of Negative Feedback on Intrinsic Motivation
Fong, C. J., Patall, E. A., Vasquez, A. C., & Stautberg, S. (2019) · Educational Psychology Review · doi:10.1007/s10648-018-9446-6 · Cited by 299
Effective Tutoring Techniques: A Comparison of Human Tutors and Intelligent Tutoring Systems
Merrill, D. C., Reiser, B. J., Ranney, M., & Trafton, J. G. (1992) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0203_2 · Cited by 298
Wilson, J., & Czik, A. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.05.004 · Cited by 297
Peer Assessment between Students in Colleges and Universities
Topping, K. (1998) · Review of Educational Research · doi:10.2307/1170598 · Cited by 2,173
Formative assessment: a key to deep learning?
Rushton, A. (2005) · Medical Teacher · doi:10.1080/01421590500129159 · Cited by 291
Corbett, A. T., & Anderson, J. R. (2001) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/365024.365111 · Cited by 280
Moreno, R., & Valdez, A. (2005) · Educational Technology Research and Development · doi:10.1007/bf02504796 · Cited by 287
A Framework for Evaluating the Quality of Multimedia Learning Resources
Leacock, T. L., & Nesbit, J. C. (2007) · Cited by 267
Online peer assessment: effects of cognitive and affective feedback
Lu, J., & Law, N. W. Y. (2011) · Instructional Science · doi:10.1007/s11251-011-9177-2 · Cited by 272
Training Advanced Writing Skills: The Case for Deliberate Practice
Kellogg, R. T., & Whiteford, A. P. (2009) · Educational Psychologist · doi:10.1080/00461520903213600 · Cited by 262
How feedback boosts motivation and play in a brain-training game
Burgers, C., Eden, A., van Engelenburg, M. D., & Buningh, S. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.038 · Cited by 245
A Review of Feedback Models and Theories: Descriptions, Definitions, and Conclusions
Lipnevich, A. A., & Panadero, E. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.720195 · Cited by 368
Estimating the Difference Between Published and Unpublished Effect Sizes: A Meta-Review
Polanin, J. R., Tanner-Smith, E. E., & Hennessy, E. A. (2016) · Review of Educational Research · doi:10.3102/0034654315582067 · Cited by 234
Effects of feedback in a computer-based assessment for learning
der Kleij, F. M. V., Eggen, T. J. H. M., Timmers, C. F., & Veldkamp, B. P. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.07.020 · Cited by 245
Blended Learning: How Teachers Balance the Blend of Online and Classroom Components
Jeffrey, L. M., Milne, J., Suddaby, G., & Higgins, A. (2014) · Journal of Information Technology Education Research · doi:10.28945/1968 · Cited by 237
van den Boom, G., Paas, F., van Merriënboer, J. J. G., & van Gog, T. (2004) · Computers in Human Behavior · doi:10.1016/j.chb.2003.10.001 · Cited by 236
van den Boom, G., Paas, F., & van Merriënboer, J. J. G. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.09.003 · Cited by 232
Informal formative assessment: The role of instructional dialogues in assessing students’ learning
Ruiz‐Primo, M. A. (2011) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2011.04.003 · Cited by 268
Corbett, A. T., Koedinger, K. R., & Anderson, J. R. (1997) · Elsevier eBooks · doi:10.1016/b978-044481862-1.50103-5 · Cited by 244
Shute, V. J., Ventura, M., Bauer, M. I., & Diego (2009) · Routledge eBooks · doi:10.4324/9780203891650-31 · Cited by 227
Harks, B., Rakoczy, K., Hattie, J., Besser, M., & Klieme, E. (2013) · Educational Psychology · doi:10.1080/01443410.2013.785384 · Cited by 287
Assessment in Game-Based Learning
Ifenthaler, D., Ge, X., & Eseryel, D. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3546-4 · Cited by 232
The Role of Verbal Cues in Skill Learning
Landin, D. K. (1994) · Quest · doi:10.1080/00336297.1994.10484128 · Cited by 218
Faber, J. M., Luyten, H., & Visscher, A. J. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.12.001 · Cited by 266
Effects of differential feedback on students’ examination performance.
Lipnevich, A. A., & Smith, J. K. (2009) · Journal of Experimental Psychology: Applied · doi:10.1037/a0017841 · Cited by 199
Fostering the Intelligent Novice: Learning From Errors With Metacognitive Tutoring
Mathan, S. A., & Koedinger, K. R. (2005) · Educational Psychologist · doi:10.1207/s15326985ep4004_7 · Cited by 197
(2010) · OpenCommons - UConn (University of Connecticut) · doi:10.4324/9780203874851-12 · Cited by 190
The effects of cooperative learning and feedback on e-learning in statistics
Krause, U.-M., Stark, R., & Mandl, H. (2008) · Learning and Instruction · doi:10.1016/j.learninstruc.2008.03.003 · Cited by 186
Classroom assessment as the co-regulation of learning
Andrade, H., & Brookhart, S. M. (2019) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594x.2019.1571992 · Cited by 274
Maier, U., & Klotz, C. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100080 · Cited by 218
Beyond ‘doing time’: Investigating the concept of student engagement with feedback
Handley, K., Price, M., & Millar, J. (2011) · Oxford Review of Education · doi:10.1080/03054985.2011.604951 · Cited by 181
Lepper, M. R., & Woolverton, M. (2002) · Improving Academic Achievement · doi:10.1016/b978-012064455-1/50010-5 · Cited by 180
Dancer, D. M., & Kamvounias, P. (2005) · Assessment & Evaluation in Higher Education · doi:10.1080/02602930500099235 · Cited by 179
A surprising effect of feedback on learning
Vollmeyer, R., & Rheinberg, F. (2005) · Learning and Instruction · doi:10.1016/j.learninstruc.2005.08.001 · Cited by 176
Hovardas, T., Tsivitanidou, O. E., & Zacharia, Z. C. (2014) · Computers & Education · doi:10.1016/j.compedu.2013.09.019 · Cited by 176
Explanation feedback is better than correct answer feedback for promoting transfer of learning.
Butler, A. C., Godbole, N. R., & Marsh, E. J. (2012) · Journal of Educational Psychology · doi:10.1037/a0031026 · Cited by 192
Improving student peer feedback
Nilson, L. B. (2003) · College Teaching · doi:10.1080/87567550309596408 · Cited by 172
Student Perceptions of Assessment Feedback: A Critical Scoping Review and Call for Research
Van der Kleij, F. M., & Lipnevich, A. A. (2021) · Educational Assessment, Evaluation and Accountability · doi:10.1007/s11092-020-09331-x · Cited by 189
Lipnevich, A. A., & Smith, J. K. (2009) · Educational Assessment Evaluation and Accountability · doi:10.1007/s11092-009-9082-2 · Cited by 186
Giving and Receiving Effective Feedback: A Review Article and How-To Guide
Jug, R. C., Jiang, X. “., & Bean, S. M. (2018) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2018-0058-ra · Cited by 168
Role of Rubric-Referenced Self-Assessment in Learning to Write
Andrade, H. G., & Boulay, B. A. (2003) · The Journal of Educational Research · doi:10.1080/00220670309596625 · Cited by 167
Patchan, M. M., Schunn, C. D., & Correnti, R. J. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000103 · Cited by 165
The Effects of Instructional Rubrics on Learning to Write
Andrade, H. G. (2001) · Current Issues in Education · Cited by 165
Do we click in the right way? A meta-analytic review of clicker-integrated instruction
Chien, Y., Chang, Y.-H., & Chang, C. (2015) · Educational Research Review · doi:10.1016/j.edurev.2015.10.003 · Cited by 185
The Formative Purpose: Assessment Must First Promote Learning
Black, P., & Wiliam, D. (2004) · Yearbook of the National Society for the Study of Education · doi:10.1111/j.1744-7984.2004.tb00047.x · Cited by 170
Giving feedback – An integral part of education
Schartel, S. A. (2012) · Best practice & research. Clinical anaesthesiology · doi:10.1016/j.bpa.2012.02.003 · Cited by 195
Analysing feedback processes in an online teaching and learning environment: an exploratory study
Espasa, A., & Meneses, J. (2009) · Higher Education · doi:10.1007/s10734-009-9247-4 · Cited by 188
Rubric‐referenced self‐assessment and middle school students’ writing
Andrade, H., Du, Y., & Mycek, K. (2010) · Assessment in Education Principles Policy and Practice · doi:10.1080/09695941003696172 · Cited by 161
Narciss, S., & Huth, K. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.07.003 · Cited by 162
Gielen, S., Tops, L., Dochy, F., Onghena, P., & Smeets, S. (2010) · British Educational Research Journal · doi:10.1080/01411920902894070 · Cited by 160
Assessment Through the Student's Eyes
Stiggins, R. (2007) · Educational leadership · Cited by 160
Yu, S., Jiang, L. G., & Zhou, N. (2020) · Assessing Writing · doi:10.1016/j.asw.2020.100451 · Cited by 187
Classroom Assessment: Tensions and Intersections in Theory and Practice
Brookhart, S. M. (2004) · Teachers College Record The Voice of Scholarship in Education · doi:10.1111/j.1467-9620.2004.00346.x · Cited by 163
Ruan, S., Jiang, L., Xu, J., Tham, B. J.-K., Qiu, Z., Zhu, Y., Murnane, E. L., Brunskill, E., & Landay, J. A. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300587 · Cited by 156
van de Ridder, J. M. M., McGaghie, W. C., Stokking, K. M., & ten Cate, O. T. J. (2015) · Medical Education · doi:10.1111/medu.12744 · Cited by 154
Basu, S., Biswas, G., & Kinnebrew, J. S. (2017) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-017-9187-0 · Cited by 169
Developing science activities through a networked peer assessment system
Tsai, C.-C., Lin, S. S. J., & Yuan, S.-M. (2002) · Computers & Education · doi:10.1016/s0360-1315(01)00069-0 · Cited by 154
Quellmalz, E., Timms, M., Silberglitt, M., & Buckley, B. C. (2012) · Journal of Research in Science Teaching · doi:10.1002/tea.21005 · Cited by 132
Formative and Stealth Assessment
Shute, V. J., & Kim, Y. J. (2013) · Springer eBooks · doi:10.1007/978-1-4614-3185-5_25 · Cited by 149
Maier, U., Wolf, N., & Randler, C. (2016) · Computers & Education · doi:10.1016/j.compedu.2015.12.002 · Cited by 148
Potdevin, F., Vors, O., Huchez, A., Lamour, M., Davids, K., & Schnitzler, C. (2018) · Physical Education and Sport Pedagogy · doi:10.1080/17408989.2018.1485138 · Cited by 178
Metadata
- Authors
- Bangert-Drowns, R. L., Kulik, C.-L. C., Kulik, J. A., & Morgan, M.
- Affiliations
- State University of New York at Albany
- University of Michigan (US)
- State University of New York (US)
- Venue
- Review of Educational Research
- Published
- 1991-06
- Volume
- 61
- Issue
- 2
- Pages
- 213-238
- ISSN
- 0034-6543 (ISSN-L)
- 1935-1046
- OpenAlex
- W2171054741
- Semantic Scholar
- 116f5f0b52057e031f446e37ce7746ed5c1306e0
- Cited by
- 1,313
- References
- 48
- Citations by year
- 2026: 19 · 2025: 34 · 2024: 35 · 2023: 51 · 2022: 55 · 2021: 69 · 2020: 116 · 2019: 54 · 2018: 76 · 2017: 57 · 2016: 63 · 2015: 71 · 2014: 75 · 2013: 65 · 2012: 56
- FWCI
- 54.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Review of Educational Research (publishedVersion)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- feedback, error correction, pretest, retrieval practice, knowledge application, response certainty, presentation timing, written instructions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review