Effects of feedback elaboration and feedback timing during computer-based practice in mathematics problem solving
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Immediate feedback gives better result in improving students' outcomes than delayed feedback.
“Results showed that immediate feedback gives better result in improving students' outcomes than the delayed feedback.”
From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [119]
Cites
Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905 · see citing works
Kluger, A. N., & DeNisi, A. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.2.254 · Cited by 5,882 · see citing works
Shute, V. J. (2008) · Review of Educational Research · doi:10.3102/0034654307313795 · Cited by 4,631 · see citing works
Feedback 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 · see citing works
Gagné, R. M. (1965) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 2,851 · see citing works
The Cambridge handbook of thinking and reasoning
Holyoak, K. J., & Morrison, B. (2005) · Cited by 2,133 · see citing works
Handbook of research on educational communications and technology
(2004) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2004.00409_15.x · Cited by 1,853 · see citing works
The instructional effect of feedback in test-like events.
Bangert-Drowns, R. L., Kulik, C.-L. C., Kulik, J. A., & Morgan, M. (1991) · Review of Educational Research · doi:10.3102/00346543061002213 · Cited by 1,313 · see citing works
The Use of Worked Examples as a Substitute for Problem Solving in Learning Algebra
Sweller, J., & Cooper, G. A. (1985) · Cognition and Instruction · doi:10.1207/s1532690xci0201_3 · Cited by 1,214 · see citing works
Effects of learning skills interventions on student learning: a meta-analysis.
Hattie, J., Biggs, J., & Purdie, N. (1996) · Review of Educational Research · doi:10.3102/00346543066002099 · Cited by 1,106 · see citing works
Expertise Reversal Effect and Its Implications for Learner-Tailored Instruction
Kalyuga, S. (2007) · Educational Psychology Review · doi:10.1007/s10648-007-9054-3 · Cited by 1,056 · see citing works
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 · see citing works
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 · see citing works
Mory, E. (2004) · doi:10.4324/9781410609519-40 · Cited by 643 · see citing works
Instructional technology and the measurement of learing outcomes: Some questions.
Glaser, R. A. (1963) · American Psychologist · doi:10.1037/h0049294 · Cited by 609 · see citing works
Feedback in Written Instruction
Kulhavy, R. W. (1977) · Review of Educational Research · doi:10.3102/00346543047002211 · Cited by 571 · see citing works
Renkl, A., & Atkinson, R. K. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_3 · Cited by 540 · see citing works
Toward an Instructionally Oriented Theory of Example‐Based Learning
Renkl, A. (2014) · Cognitive Science · doi:10.1111/cogs.12086 · Cited by 509 · see citing works
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 · see citing works
Interdomain transfer between isomorphic topics in algebra and physics.
Bassok, M., & Holyoak, K. J. (1989) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.15.1.153 · Cited by 394 · see citing works
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 · see citing works
Enhancing learning and retarding forgetting: Choices and consequences
Pashler, H., Rohrer, D., Cepeda, N. J., & Carpenter, S. K. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194050 · Cited by 282 · see citing works
Exploring feedback and student characteristics relevant for personalizing feedback strategies
Narciss, S., Sosnovsky, S., Schnaubert, L., Andrès, E., Eichelmann, A., Goguadze, G., & Melis, E. (2014) · Computers & Education · doi:10.1016/j.compedu.2013.09.011 · Cited by 260 · see citing works
Perrenoud, P. (1998) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969595980050105 · Cited by 251 · see citing works
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 · see citing works
Spacing effects and their implications for theory and practice
Dempster, F. N. (1989) · Educational Psychology Review · doi:10.1007/bf01320097 · Cited by 244 · see citing works
Cognition and the question of test item format
Martinez, M. E. (1999) · Educational Psychologist · doi:10.1207/s15326985ep3404_2 · Cited by 242 · see citing works
Knowledge elaboration: A cognitive load perspective
Kalyuga, S. (2009) · Learning and Instruction · doi:10.1016/j.learninstruc.2009.02.003 · Cited by 213 · see citing works
Delay-retention effect with multiple-choice tests.
Kulhavy, R. W., & Anderson, R. C. (1972) · Journal of Educational Psychology · doi:10.1037/h0033243 · Cited by 209 · see citing works
Improving self-regulation, learning strategy use, and achievement with metacognitive feedback
Lee, H. W., Lim, K. Y., & Grabowski, B. L. (2010) · Educational Technology Research and Development · doi:10.1007/s11423-010-9153-6 · Cited by 182 · see citing works
The Changing Nature of Educational Assessment
Bennett, R. E. (2015) · Review of Research in Education · doi:10.3102/0091732x14554179 · Cited by 163 · see citing works
Narciss, S., & Huth, K. (2006) · Learning and Instruction · doi:10.1016/j.learninstruc.2006.07.003 · Cited by 162 · see citing works
Learning from feedback: Spacing and the delay–retention effect.
Smith, T. A., & Kimball, D. R. (2010) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0017407 · Cited by 123 · see citing works
Timmers, C. F., & Veldkamp, B. P. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.11.007 · Cited by 102 · see citing works
Feedback Types in Programmed Instruction: A Systematic Review
Jaehnig, W., & Miller, M. L. (2007) · The Psychological Record · doi:10.1007/bf03395573 · Cited by 82 · see citing works
Attali, Y. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.08.011 · Cited by 70 · see citing works
Self-citationEffects of Response Format on Difficulty of SAT‐Mathematics Items: It's Not the Strategy
Katz, I. R., Bennett, R. E., & Berger, A. E. (2000) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2000.tb01075.x · Cited by 69 · see citing works
Reading comprehension exercises online: The effects of feedback, proficiency and interaction
Murphy, P. (2007) · Language learning & technology · doi:10.64152/10125/44120 · Cited by 66 · see citing works
The effects of delay of feedback on a delayed concept formation transfer task
Schroth, M. L. (1992) · Contemporary Educational Psychology · doi:10.1016/0361-476x(92)90048-4 · Cited by 65 · see citing works
Clariana, R. B., & Lee, D. (2001) · Educational Technology Research and Development · doi:10.1007/bf02504913 · Cited by 64 · see citing works
Delayed retention effect: Attention, perseveration, or both?
Phye, G. D., & Andre, T. (1989) · Contemporary Educational Psychology · doi:10.1016/0361-476x(89)90035-0 · Cited by 63 · see citing works
Criterion-referenced measurement;: An introduction
Popham, W. J. (1971) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 58 · see citing works
An Empirical Assessment of Comprehension Fostering Features in an Intelligent Tutoring System
Mathan, S. A., & Koedinger, K. R. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_37 · Cited by 53 · see citing works
der Kleij, F. M. V., Timmers, C. F., & Eggen, T. J. H. M. (2011) · CADMO · doi:10.3280/cad2011-001004 · Cited by 46 · see citing works
Effects of complex feedback on computer-assisted modular instruction
Gordijn, J., & Nijhof, W. (2002) · Comput. Educ. · doi:10.1016/s0360-1315(02)00025-8 · Cited by 40 · see citing works
Attali, Y., Laitusis, C. C., & Stone, E. (2015) · Educational and Psychological Measurement · doi:10.1177/0013164415612548 · Cited by 36 · see citing works
Self-citationEpstein, J. I. (1997) · Cited by 3 · see citing works
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Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022) · Mathematical Problems in Engineering · doi:10.1155/2022/5215722 · Cited by 444 · see citing works
Understanding feedback in online learning – A critical review and metaphor analysis
Jensen, L. X., Bearman, M., & Boud, D. J. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104271 · Cited by 176 · see citing works
der Kleij, F. M. V. (2019) · Teaching and Teacher Education · doi:10.1016/j.tate.2019.06.010 · Cited by 175 · see citing works
Activating learning at scale: A review of innovations in online learning strategies
Davis, D., Chen, G., Hauff, C., & Houben, G. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.05.019 · Cited by 168 · see citing works
Fostering oral presentation competence through a virtual reality-based task for delivering feedback
van Ginkel, S. O., Gulikers, J. T. M., Biemans, H. J. A., Noroozi, O., Roozen, M. C., Bos, T., van Tilborg, R., van Halteren, M., & Mulder, M. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.02.006 · Cited by 138 · see citing works
Analytics of time management strategies in a flipped classroom
Ahmad Uzir, N., Gašević, D., Matcha, W., Jovanović, J., & Pardo, A. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12392 · Cited by 129 · see citing works
Elaborated feedback and learning: Examining cognitive and motivational influences
Wang, Z., Gong, S.-Y., Xu, S., & Hu, X.-E. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.003 · Cited by 114 · see citing works
Systematic Literature Review of Flipped Classroom in Mathematics
Fung, C. H., Besser, M., & Poon, K. (2021) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/10900 · Cited by 66 · see citing works
Kuklick, L., Greiff, S., & Lindner, M. A. (2023) · Computers & Education · doi:10.1016/j.compedu.2023.104785 · Cited by 54 · see citing works
Mellado, R., & Cubillos, C. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13000 · Cited by 53 · see citing works
Developing K-12 students’ programming ability: A systematic literature review
Sun, L., Guo, Z., & Zhou, D. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10891-2 · Cited by 50 · see citing works
Learning Performance Prediction-Based Personalized Feedback in Online Learning via Machine Learning
Wang, X., Zhang, L., & He, T. (2022) · Sustainability · doi:10.3390/su14137654 · Cited by 48 · see citing works
The false allure of fast lures
Attali, Y., & Bar‐Hillel, M. (2020) · Judgment and Decision Making · doi:10.1017/s1930297500006938 · Cited by 44 · see citing works
Self-citationFostering oral presentation competence in higher education
van Ginkel, S. O. (2019) · doi:10.18174/476541 · Cited by 38 · see citing works
The Role of Rubrics in Learning and Implementation of Authentic Assessment: A Literature Review
Nkhoma, C., Nkhoma, M. Z., Thomas, S., & Le, N. Q. (2020) · Informing Science and IT Education Conference · doi:10.28945/4606 · Cited by 37 · see citing works
Benefits of additional online practice opportunities in higher education
Schwerter, J., Dimpfl, T., Bleher, J., & Murayama, K. (2021) · The Internet and Higher Education · doi:10.1016/j.iheduc.2021.100834 · Cited by 36 · see citing works
Taxipulati, S., & Hai-dong, L. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.706821 · Cited by 34 · see citing works
What makes tablet‐based learning effective? A study of the role of real‐time adaptive feedback
Colliot, T., Krichen, O., Girard, N., Anquetil, É., & Jamet, É. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13439 · Cited by 32 · see citing works
Kuklick, L., & Lindner, M. A. (2022) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2022.102146 · Cited by 32 · see citing works
Vasalou, A., Benton, L., Ibrahim, S. B., Sumner, E., Joye, N., & Herbert, E. (2021) · British Journal of Educational Technology · doi:10.1111/bjet.13145 · Cited by 29 · see citing works
Gabelica, C., & Popov, V. (2020) · Group & Organization Management · doi:10.1177/1059601120910859 · Cited by 28 · see citing works
Li, C., Fryer, L. K., & Chu, S. K. W. (2024) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2024.2352789 · Cited by 27 · see citing works
Iterbeke, K., Witte, K. D., & Schelfhout, W. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106666 · Cited by 26 · see citing works
Hempel, B., Kiehlbaugh, K., & Blowers, P. (2020) · Education for Chemical Engineers · doi:10.1016/j.ece.2020.07.004 · Cited by 25 · see citing works
A web-based formative feedback system using isomorphic items to support Physics learning
Kusairi, S. (2020) · Journal of Technology and Science Education · doi:10.3926/jotse.781 · Cited by 24 · see citing works
Characteristics of productive feedback encounters in online learning
Jensen, L. X., Bearman, M., & Boud, D. J. (2023) · Teaching in Higher Education · doi:10.1080/13562517.2023.2213168 · Cited by 24 · see citing works
Chin, H., & Meng, C. C. (2021) · Journal of Computers in Education · doi:10.1007/s40692-021-00192-x · Cited by 23 · see citing works
Conde-Pumpido, T. D. L. H., Jansz, J., Raessens, J., & Schouten, B. (. (2021) · Amsterdam University Press eBooks · doi:10.2307/j.ctv1hw3z1d · Cited by 23 · see citing works
A Collaboratively-Derived Research Agenda for E-assessment in Undergraduate Mathematics
Kinnear, G., Jones, I., Sangwin, C., Alarfaj, M. O., Davies, B., Fearn, S., Foster, C. F., Heck, A., Henderson, K. L., Hunt, T., et al. (2022) · International Journal of Research in Undergraduate Mathematics Education · doi:10.1007/s40753-022-00189-6 · Cited by 22 · see citing works
Fujita, T., Jones, K., & Miyazaki, M. (2018) · ZDM · doi:10.1007/s11858-018-0950-4 · Cited by 20 · see citing works
The Effects of Different Feedback Types on Learning With Mobile Quiz Apps
Rüth, M., Breuer, J., Zimmermann, D., & Kaspar, K. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.665144 · Cited by 20 · see citing works
Conde-Pumpido, T. D. L. H., Jansz, J., Raessens, J., & Schouten, B. A. M. (2021) · Routledge eBooks · doi:10.5117/9789463728805 · Cited by 19 · see citing works
E-learning with multiple-try-feedback: Can hints foster students’ achievement during the semester?
Schwerter, J., Wortha, F., & Gerjets, P. H. (2022) · Educational Technology Research and Development · doi:10.1007/s11423-022-10105-z · Cited by 19 · see citing works
Feng, Q., Li, W., Zhu, X., & Li, X. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00499-6 · Cited by 18 · see citing works
Yang, Q. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102132 · Cited by 17 · see citing works
GAMIFYING A FLIPPED FIRST YEAR ACCOUNTING CLASSROOM USING KAHOOT!
Nkhoma, C., Nkhoma, M. Z., Thomas, S., & Tu, L. K. (2018) · International Journal of Information Systems and Engineering · doi:10.24924/ijise/2018.11/v6.iss2/93.115 · Cited by 17 · see citing works
Lu, X., Wang, W., Motz, B. A., Ye, W., & Heffernan, N. T. (2023) · Computers and Education Open · doi:10.1016/j.caeo.2023.100148 · Cited by 17 · see citing works
The importance of rapid and meaningful feedback on computer-aided graphic expression learning
Alique, D., & Linares, M. (2019) · Education for Chemical Engineers · doi:10.1016/j.ece.2019.03.001 · Cited by 16 · see citing works
Kim, H., Chae, Y., Kim, S., & Im, C.-H. (2023) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2022.3200394 · Cited by 17 · see citing works
Effects of learner choice over automated, immediate feedback
Kuklick, L. (2025) · Learning and Instruction · doi:10.1016/j.learninstruc.2024.102065 · Cited by 15 · see citing works
Lindenbauer, E., Infanger, E.-M., & Lavicza, Z. (2024) · European Journal of Science and Mathematics Education · doi:10.30935/scimath/14323 · Cited by 15 · see citing works
Charting the Future of Assessments
Kyllonen, P. C., Sevak, A., Ober, T. M., Choi, I., Sparks, J. R., & Fishtein, D. (2024) · ETS Research Report Series · doi:10.1002/ets2.12388 · Cited by 16 · see citing works
Chang, J.-H., Wang, C., Zhong, H.-X., Weng, H.-C., Zhou, Y., Ong, H.-Y., & Lai, C. (2023) · Educational Technology Research and Development · doi:10.1007/s11423-023-10323-z · Cited by 14 · see citing works
Self-assessing a test with a possible bonus enhances low performers’ academic performance
Yuan, J., Savadatti, S., & Zheng, G. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.104036 · Cited by 13 · see citing works
The effects of teacher’ feedback
Rochera, M. J., Engel, A., & Salvador, C. C. (2021) · Revista de Educación a Distancia (RED) · doi:10.6018/red.476901 · Cited by 12 · see citing works
Secondary Teachers’ Remote Instructional Practices in Mathematics for Students With Disabilities
Enders, O. G., & Kostewicz, D. E. (2022) · Journal of Special Education Technology · doi:10.1177/01626434211059486 · Cited by 12 · see citing works
The Feedback Principle in Multimedia Learning
Johnson, C. I., & Marraffino, M. D. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108894333.042 · Cited by 11 · see citing works
Wancham, K., & Tangdhanakanond, K. (2020) · Research in Science Education · doi:10.1007/s11165-020-09956-4 · Cited by 11 · see citing works
Using Content Coding and Automatic Item Generation to Improve Test Security
Gierl, M. J., Shin, J., Firoozi, T., & Lai, H. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.853578 · Cited by 11 · see citing works
Learning and Motivation When Using Multiple-Try in a Digital Game for Primary Students in Chile
Cubillos, C., Roncagliolo, S., & Cabrera‐Paniagua, D. (2023) · Education Sciences · doi:10.3390/educsci13111119 · Cited by 10 · see citing works
Voluntary E-Learning Exercises Support Students in Mastering Statistics
Schwerter, J., & Brahm, T. (2024) · Technology Knowledge and Learning · doi:10.1007/s10758-023-09714-1 · Cited by 10 · see citing works
Benton, L., Joye, N., Sumner, E., Gauthier, A., Ibrahim, S. B., & Vasalou, A. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13318 · Cited by 10 · see citing works
Eliciting Confidence for Improving Crowdsourced Audio Annotations
Méndez, A. E. M., Cartwright, M., Bello, J. P., & Nov, O. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512935 · Cited by 10 · see citing works
Weinhandl, R., Baldinger, S., & Riegler, V. (2025) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-025-10619-x · Cited by 9 · see citing works
Kuklick, L., & Lindner, M. A. (2025) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2025.102396 · Cited by 8 · see citing works
I Don't Usually Listen, I Read: How Different Learner Groups Process Game Feedback
Gauthier, A., Benton, L., Bunting, L., Herbert, E., Sumner, E., Mavrikis, M., Révész, A., & Vasalou, A. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517480 · Cited by 8 · see citing works
Effects of Problem-Solving Strategy Based Interactive E-Book on Measurement Concepts
Huang, Y.-H., Wu, P.-H., & Chiang, H.-C. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-99737-7_48 · Cited by 8 · see citing works
Computer-based formative assessment for problem solving
Söderström, S. (2023) · International Journal of Mathematical Education in Science and Technology · doi:10.1080/0020739x.2023.2178982 · Cited by 7 · see citing works
Weinhandl, R., Baldinger, S., & Kapplmüller, M. (2025) · International Journal of Mathematical Education in Science and Technology · doi:10.1080/0020739x.2025.2562275 · Cited by 7 · see citing works
A Meta-Analysis of the Impact of Feedback Timing on Learning Outcomes in Computer-Assisted Learning
Kandemir, E. N., Esposito, E., Gurgand, L., & Ramus, F. (2026) · Educational Psychology Review · doi:10.1007/s10648-026-10117-8 · Cited by 7 · see citing works
Liu, J., Li, S., & Zhang, W. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12947 · Cited by 7 · see citing works
Grivokostopoulou, F., Perikos, I., & Hatzilygeroudis, I. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67615-9_15 · Cited by 7 · see citing works
Applying, not ignoring: how feedback uptake and neural synchrony drive creativity
Yin, J., Jin, Z., Zhang, Y., Li, X., Li, Y., Zhang, G., & Luo, J. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00351-0 · Cited by 6 · see citing works
Conde-Pumpido, T. D. L. H., Jansz, J., Raessens, J. (., & Schouten, B. A. M. (2021) · Amsterdam University Press eBooks · doi:10.1515/9789048543939 · Cited by 6 · see citing works
Schlag, R., Stegmann, K., & Sailer, M. (2024) · The European Educational Researcher · doi:10.31757/euer.722 · Cited by 6 · see citing works
Lee, J., & Kim, D. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13564 · Cited by 6 · see citing works
Die Zukunft des MINT-Lernens – Band 1
Röth, J., Baum, M., Eilerts, K., Hornung, G., & Trefzger, T. (2022) · Springer eBooks · doi:10.1007/978-3-662-66131-4 · Cited by 6 · see citing works
Effects of elaborate feedback during practice tests: Costs and benefits of retrieval prompts.
van den Broek, G. S. E., Segers, E., van Rijn, H., Takashima, A., & Verhoeven, L. T. W. (2019) · Journal of Experimental Psychology Applied · doi:10.1037/xap0000212 · Cited by 6 · see citing works
Panorama sobre los sistemas de evaluación automática en línea en matemáticas
Gaona, J. (2020) · PARADIGMA · doi:10.37618/paradigma.1011-2251.0.p53-80.id853 · Cited by 6 · see citing works
Jha, N. K., Bhowmik, P. K., & Bhagat, K. K. (2024) · Educational Technology Research and Development · doi:10.1007/s11423-024-10397-3 · Cited by 5 · see citing works
Public Corporate e-Learning: Antecedents and Results
Souza, F. V., Motoki, F. Y. S., Mainardes, E. W., & Azzari, V. (2021) · Public Organization Review · doi:10.1007/s11115-021-00588-4 · Cited by 5 · see citing works
Kim, H., & Song, J. (2023) · Research in Science Education · doi:10.1007/s11165-023-10127-4 · Cited by 5 · see citing works
Semper, J. D. C., & Llaudes, A. M. (2019) · Innovations in Education and Teaching International · doi:10.1080/14703297.2019.1647267 · Cited by 5 · see citing works
Steinbach, M., Fleckenstein, J., Kuklick, L., & Meyer, J. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70070 · Cited by 4 · see citing works
Exploring the impact of feedback timing on student performance in online testing
Ding, G., Li, M., Li, S., & Wu, H. (2024) · Asia Pacific Education Review · doi:10.1007/s12564-024-10024-z · Cited by 3 · see citing works
Bellini, C. G. P., Serpa, M. L., & Pereira, R. D. C. D. F. (2025) · Behavioral Sciences · doi:10.3390/bs15040511 · Cited by 3 · see citing works
Makhija, A., Jha, M., Richards, D., & BILGIN, A. A. B. (2022) · ASCILITE Publications · doi:10.14742/apubs.2022.115 · Cited by 3 · see citing works
Principles Based on Generative Activity in Multimedia Learning
(2021) · Cambridge University Press eBooks · doi:10.1017/9781108894333.035 · Cited by 3 · see citing works
Impact of Scoring Instructions, Timing, and Feedback on Measurement: An Experimental Study
van Rijn, P. W., Attali, Y., & Ali, U. S. (2021) · The Journal of Experimental Education · doi:10.1080/00220973.2021.1969532 · Cited by 3 · see citing works
Self-citationExploring gender as a determinant of game element effectiveness
Koch, N. N., Gebert, R., Meißner, N., & Wirzberger, M. (2026) · Frontiers in Computer Science · doi:10.3389/fcomp.2026.1694621 · Cited by 2 · see citing works
Computer Based Recitation Program Development With Feed Back in Newton’s Law Topic
Hidayati, R. A., & Taqwa, M. R. A. (2023) · International Journal of Education and Teaching Zone · doi:10.57092/ijetz.v2i1.49 · Cited by 2 · see citing works
Making Thoughts Visible through Formative Feedback in a Mathematical Problem-Solving Process
Toker, Z. (2021) · International Journal of Contemporary Educational Research · doi:10.33200/ijcer.845288 · Cited by 2 · see citing works
The Effect of Computer-Based Feedback in Game-Like Fluid Reasoning Tasks
Portešová, Š., Jabůrek, M., Ťápal, A., & Straka, O. (2022) · Studia Psychologica · doi:10.31577/sp.2022.02.845 · Cited by 2 · see citing works
Fostering key competency growth: a feedback model for university English teaching
Wang, Z., Wang, S., Yin, T., Yu, Z., & Li, X. (2024) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2024.2375596 · Cited by 2 · see citing works
Feedback for learning from text: What kind and where in the text is most effective?
Clinton‐Lisell, V. (2024) · Computers and Education Open · doi:10.1016/j.caeo.2024.100216 · Cited by 2 · see citing works
Elektronenbahnen in Feldern. Konzeption und Evaluation einer webbasierten Lernumgebung
Richtberg, S. (2018) · Logos Verlag Berlin eBooks · doi:10.30819/4723 · Cited by 2 · see citing works
Vo, H. K. (2021) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 2 · see citing works
Shang, S., Li, Y., & You, X. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12322-2 · Cited by 1 · see citing works
Enhancing Response Quality by Children in Voice-based Sleep Diaries via AI-based Continuous Feedback
Chen, S., Hu, J., Wang, G., & Markopoulos, P. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790684 · Cited by 1 · see citing works
Feedback complexities interact with prior knowledge
Töllner, F., Kuhl, P., & Besser, M. (2026) · Learning and Instruction · doi:10.1016/j.learninstruc.2026.102413 · Cited by 1 · see citing works
Pillay, P., & Balele, R. (2022) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.21.10.12 · Cited by 1 · see citing works
Difficulty Generating Factors for Context-free Language Construction Assignments
Schmalstieg, F., Schmellenkamp, M., Schwerter, J., & Zeume, T. (2025) · ACM Conference on International Computing Education Research (ICER) · doi:10.1145/3702652.3744201 · Cited by 1 · see citing works
‘Forced to think’—an analysis of how students benefit from online warm-up exercises with feedback
Kulmala, K., Kokkonen, T., & Kontro, I. (2021) · Physics Education · doi:10.1088/1361-6552/abfd40 · Cited by 1 · see citing works
Scalable and Practical Interventions Faculty Can Deploy to Increase Student Success
Hempel, B., Blowers, P., & Kiehlbaugh, K. M. (2020) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--33252 · Cited by 1 · see citing works
Lutz, T. (2022) · Springer eBooks · doi:10.1007/978-3-662-66131-4_13 · Cited by 1 · see citing works
A Model for Competence E-Assessment and Feedback in Higher Education
González‐Marcos, A., Nalda, F. N., Ordieres-Meré, J. B., & Alba‐Elías, F. (2018) · Advances in higher education and professional development book series · doi:10.4018/978-1-5225-5936-8.ch012
Gal, T., & Hershkovitz, A. (2023) · International journal on e-learning · doi:10.70725/321856nlkpgp
New Directions for Technology Integration in K-12 Mathematics
Stohlmann, M. S., & Acquah, A. (2020) · International Journal for Technology in Mathematics Education · doi:10.1564/tme_v27.2.03
13. Mitigating Bias and Improving Professional Decision-Making through Persuasive Training Games
Lee, Y.-H., Dunbar, N. E., Miller, C. H., Bessarabova, E., Jensen, M. L., Wilson, S. J., Elizondo, J., Burgoon, J. K., & Valacich, J. S. (2021) · Amsterdam University Press eBooks · doi:10.1515/9789048543939-016
- Authors
- Attali, Y., & van der Kleij, F.
- Affiliations
- Educational Testing Service (US)
- Corresponding author
- Attali, Yigal
- ORCID
- Attali, Yigal
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 110
- Issue
- 13
- Pages
- 154-169
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2603956104
- Cited by
- 119
- References
- 48
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 14 · 2023: 14 · 2022: 21 · 2021: 20 · 2020: 13 · 2019: 8 · 2018: 6 · 2017: 2
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Computers & Education (publishedVersion)
- HAL (submittedVersion, other-oa)
- Research Bank (Australian Catholic University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Student Assessment and Feedback
- Physical Sciences › Mathematics › Applied Mathematics › Mathematics Education and Pedagogy
- Keywords
- feedback timing, mathematical problem solving, multiple-choice questions, constructed-response items, item format, initial ability
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