Effects of differential feedback on students’ examination performance.
Abstract
The effects of feedback on performance and factors associated with it were examined in a large introductory psychology course. The experiment involved college students (N = 464) working on an essay examination under 3 conditions: no feedback, detailed feedback that was perceived by participants to be provided by the course instructor, and detailed feedback that was perceived by participants to be computer generated. Additionally, these conditions were crossed with factors of grade (receiving a numerical grade or not) and praise (receiving a statement of praise or not). The task under consideration was a single-question essay examination administered at the beginning of the course. Detailed feedback on the essay, specific to individual's work, was found to be strongly related to student improvement in essay scores, with the influence of grades and praise being more complex. Generally, receipt of a tentative grade depressed performance, although this effect was ameliorated if accompanied by a statement of praise. Overall, detailed, descriptive feedback was found to be most effective when given alone, unaccompanied by grades or praise. It was also found that the perceived source of the feedback (the computer or the instructor) had little impact on the results. These findings are consistent with the research literature showing that descriptive feedback, which conveys information on how one performs the task and details ways to overcome difficulties, is far more effective than evaluative feedback, which simply informs students about how well they did.
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Students benefit more from direct, specific feedback that focuses on areas for improvement without artificial framing.
“Research shows that students benefit more from direct, specific feedback that focuses on areas for improvement without the need for artificial framing [29,85].”
From Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189 (2026) · cites this paper as [85]
Participants who reported that low grades motivated them to find strategies to improve needed an explanation of the grade for it to be useful to them.
“In studies of the impact of grades in formative assessment, participants who reported that low grades motivated them to find strategies to improve did however need an explanation of the grade in order for it to be useful to them [26, 57].”
From Guidelines: The do’s, don’ts and don’t knows of feedback for clinical education. (2015) · cites this paper as [57]
Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433 · see citing works
Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905 · see citing works
Assessment and Classroom Learning
Black, P., & Wiliam, D. (1998) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969595980050102 · Cited by 8,152 · cited 6× · see citing works
“The impact of receiving a grade may well depend on whether this grade is fundamentally good news or bad news (Black & Wiliam, 1998).”
BackgroundInfluentialDeci, E. L., Koestner, R., & Ryan, R. M. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.6.627 · Cited by 7,176 · cited 1× · see citing works
“Understanding the effects of extrinsic rewards on intrinsic motivation: Uses and abuses of meta-analysis: Comment on Deci, Koestner, and Ryan (1999).”
BackgroundKluger, 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 · cited 1× · see citing works
“The use of formative assessment to enhance student achievement has undergone a renaissance in recent years, leading to a variety of studies examining aspects of the relationship between formative assessment and students’ ability to profit academically from such assessment (Schute, 2007; Symonds, 2004; Wiliam & Thompso…”
BackgroundCrawford, J. R., & Henry, J. D. (2004) · British Journal of Clinical Psychology · doi:10.1348/0144665031752934 · Cited by 2,957 · cited 2× · see citing works
“High positive affect was indicative of high arousal, and high negative affect was indicative of depression and behavior inhibition (Crawford & Henry, 2004).”
BackgroundNegative Self-Efficacy and Goal Effects Revisited
Bandura, A., & Locke, E. A. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.1.87 · Cited by 2,813 · see citing works
Applied psychology : an international review
大山, 正., Wilpert, B., & 三隅, 二. (1989) · Lawrence Erlbaum Associates eBooks · Cited by 2,442 · see citing works
New directions in attribution research
Harvey, J. H., Ickes, W. J., & Kidd, R. F. (1976) · Medical Entomology and Zoology · Cited by 1,996 · 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
Reinforcement, Reward, and Intrinsic Motivation: A Meta-Analysis
Cameron, J., & Pierce, W. D. (1994) · Review of Educational Research · doi:10.3102/00346543064003363 · Cited by 1,153 · see citing works
Ramaprasad, A. (1983) · Behavioral Science · doi:10.1002/bs.3830280103 · Cited by 915 · see citing works
(2013) · Routledge eBooks · doi:10.4324/9780203052594 · Cited by 759 · see citing works
Butler, R. (1987) · Journal of Educational Psychology · doi:10.1037/0022-0663.79.4.474 · Cited by 690 · see citing works
The effects of praise on children's intrinsic motivation: A review and synthesis.
Corpus, J. H., & Lepper, M. R. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.5.774 · Cited by 677 · see citing works
Are Machines Gender Neutral? Gender‐Stereotypic Responses to Computers With Voices
Nass, C., Moon, Y., & Green, N. (1997) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1997.tb00275.x · Cited by 670 · see citing works
Nass, C., Fogg, B. J., & Moon, Y. (1996) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1996.0073 · Cited by 665 · see citing works
AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0
Attali, Y., & Burstein, J. C. (2004) · ETS Research Report Series · doi:10.1002/j.2333-8504.2004.tb01972.x · Cited by 630 · see citing works
Low Examinee Effort in Low-Stakes Assessment: Problems and Potential Solutions
Wise, S. L., & DeMars, C. E. (2005) · Educational Assessment · doi:10.1207/s15326977ea1001_1 · Cited by 591 · see citing works
Lewis, D. R. (1974) · Medical Entomology and Zoology · Cited by 531 · see citing works
BUTLER, R. (1988) · British Journal of Educational Psychology · doi:10.1111/j.2044-8279.1988.tb00874.x · Cited by 506 · cited 7× · see citing works
“Butler (1988) showed that presentation of a grade on its own or in combination with any other information leads to a significant decline of interest in performing the task for low-achieving students.”
BackgroundResultInfluentialShermis, M. D., & Burstein, J. C. (2003) · Routledge eBooks · doi:10.4324/9781410606860 · Cited by 504 · see citing works
The changing signs in the relationships among self-efficacy, personal goals, and performance.
Vancouver, J. B., Thompson, C. M., & Williams, A. A. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.4.605 · Cited by 474 · see citing works
Are People Polite to Computers? Responses to Computer‐Based Interviewing Systems1
Nass, C., Moon, Y., & Carney, P. (1999) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1999.tb00142.x · Cited by 408 · see citing works
Bearing Bad News: Reactions to Negative Performance Feedback
Ilgen, D. R., & Davis, C. (2000) · Applied Psychology · doi:10.1111/1464-0597.00031 · Cited by 324 · see citing works
Effects of no feedback, task-related comments, and grades on intrinsic motivation and performance.
Butler, R., & Nisan, M. (1986) · Journal of Educational Psychology · doi:10.1037/0022-0663.78.3.210 · Cited by 305 · cited 1× · see citing works
“For example, Butler and Nisan (1986) found that grades emphasized quantitative aspects of learning, depressed creativity, fostered fear of failure, and weakened students’ interest.”
BackgroundMotivational techniques of expert human tutors: Lessons for the design of computer-based tutors.
Lepper, M. R., Woolverton, M., Mumme, D. L., & Gurtner, J. (1993) · Cited by 293 · see citing works
Goal regulation across time: The effects of feedback and affect
Ilieș, R. (2007) · PsycEXTRA Dataset · doi:10.1037/e518532013-318 · Cited by 255 · see citing works
Redefining assessment? The first ten years ofassessment in education
Broadfoot, P., & Black, P. (2004) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594042000208976 · Cited by 242 · see citing works
Transforming Classroom Grading
Marzano, R. J. (2000) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 240 · see citing works
Self-efficacy and resource allocation: Support for a nonmonotonic, discontinuous model.
Vancouver, J. B., More, K. M., & Yoder, R. J. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.1.35 · Cited by 234 · see citing works
The Consequence of Consequence: Motivation, Anxiety, and Test Performance
Wolf, L. F., & Smith, J. K. (1995) · Applied Measurement in Education · doi:10.1207/s15324818ame0803_3 · Cited by 230 · see citing works
Self-citationLandauer, T. K. (2003) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594032000148154 · Cited by 198 · see citing works
Feedback on learning achievement: rhetoric and reality
Orrell, J. (2006) · Teaching in Higher Education · doi:10.1080/13562510600874235 · Cited by 176 · see citing works
Self‐Regulation Across Domains of Applied Psychology: Is there an Emerging Consensus?
Boekaerts, M., Maes, S., & Karoly, P. (2005) · Applied Psychology · doi:10.1111/j.1464-0597.2005.00201.x · Cited by 159 · see citing works
The E-rater® Scoring Engine: Automated Essay Scoring With Natural Language Processing
Shermis, M. D., & Burstein, J. C. (2003) · Routledge eBooks · doi:10.4324/9781410606860-16 · Cited by 159 · see citing works
Classroom applications of educational measurement
Oosterhof, A. (1994) · Cited by 137 · see citing works
Negative Effects of Praise on Skilled Performance
Baumeister, R. F., Hutton, D. G., & Cairns, K. J. (1990) · Basic and Applied Social Psychology · doi:10.1207/s15324834basp1102_2 · Cited by 137 · see citing works
Jolly, J. B., Dyck, M. J., Kramer, T. A., & Wherry, J. N. (1994) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.103.3.544 · Cited by 135 · see citing works
'They don't give us our marks': The role of formative feedback in student progress
Smith, E., & Gorard, S. (2005) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969594042000333896 · Cited by 135 · see citing works
Consequence of Performance, Test, Motivation, and Mentally Taxing Items
Wolf, L. F., Smith, J. K., & Birnbaum, M. E. (1995) · Applied Measurement in Education · doi:10.1207/s15324818ame0804_4 · Cited by 130 · see citing works
Self-citation(2017) · Routledge eBooks · doi:10.4324/9781315086545 · Cited by 126 · see citing works
Computer-generated performance feedback in the magazine-subscription industry
Earley, P. C. (1988) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(88)90046-5 · Cited by 110 · see citing works
Lepper, M. R., Corpus, J. H., & Gingras, I. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.6.669 · Cited by 101 · see citing works
The Influence of Feedback on Mood: Linear Effects on Pleasantness and Curvilinear Effects on Arousal
Kluger, A. N., Lewinsohn, S., & Aiello, J. R. (1994) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1994.1084 · Cited by 93 · see citing works
Praise: More Than Just Social Reinforcement
Delin, C. R., & Baumeister, R. F. (1994) · Journal for the Theory of Social Behaviour · doi:10.1111/j.1468-5914.1994.tb00254.x · Cited by 72 · see citing works
Teaching Students to Recruit Positive Attention: A Review and Recommendations
Alber, S. R., & Heward, W. L. (2000) · Journal of Behavioral Education · doi:10.1023/a:1012258231074 · Cited by 61 · see citing works
Formative assessment: A cybernetic viewpoint
Roos, B., & Hamilton, D. O. (2005) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594042000333887 · Cited by 59 · see citing works
Training for Vigilance: Using Predictive Power to Evaluate Feedback Effectiveness
Szalma, J. L., Hancock, P. A., Warm, J. S., Dember, W. N., & Parsons, K. S. (2006) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006779166343 · Cited by 56 · see citing works
Emotional Responses to Computers: Experiences in Unfairness, Anger, and Spite
Ferdig, R. E., & Mishra, P. (2004) · Journal of educational multimedia and hypermedia · Cited by 46 · see citing works
Roesch, S. C. (1998) · Educational and Psychological Measurement · doi:10.1177/0013164498058003006 · Cited by 29 · see citing works
The effects of contingent feedback on perceived control and performance
Siero, F. W., & van Oudenhoven, J. P. (1995) · European Journal of Psychology of Education · doi:10.1007/bf03172792 · Cited by 19 · see citing works
Computer-generated performance feedback in the Subscription-processing industry
Earley, P. C. (1988) · eCite Digital Repository (University of Tasmania) · Cited by 5 · see citing works
Flagged first, then by citations
1 of the 56 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
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
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 · see citing works
Self-citationGuidelines: The do’s, don’ts and don’t knows of feedback for clinical education.
Lefroy, J., Watling, C., Teunissen, P. W., & Brand, P. (2015) · Perspectives on Medical Education · doi:10.1007/s40037-015-0231-7 · Cited by 347 · see citing works
Formative assessment and feedback for learning in higher education: A systematic review
Morris, R., Perry, T., & Wardle, L. (2021) · Review of Education · doi:10.1002/rev3.3292 · Cited by 358 · see citing works
Developing evaluative judgement for a time of generative artificial intelligence
Bearman, M., Tai, J., Dawson, P., Boud, D., & Ajjawi, R. (2024) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2024.2335321 · Cited by 312 · see citing works
“In previous research even when the feedback comments were exactly the same, students judged those from a human as more credible that those that were computer-generated (Lipnevich and Smith 2009a, 2009b).”
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 212 · see citing works
Self-citationWhat feedback literate teachers do: an empirically-derived competency framework
Boud, D. J., & Dawson, P. (2021) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2021.1910928 · Cited by 242 · see citing works
Harks, B., Rakoczy, K., Hattie, J., Besser, M., & Klieme, E. (2013) · Educational Psychology · doi:10.1080/01443410.2013.785384 · Cited by 242 · see citing works
Tossell, C. C., Tenhundfeld, N. L., Momen, A., Cooley, K., & de Visser, E. J. (2024) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2024.3355015 · Cited by 218 · see citing works
Faber, J. M., Luyten, H., & Visscher, A. J. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.12.001 · Cited by 239 · see citing works
Student Conceptions of Feedback: Impact on Self-Regulation, Self-Efficacy, and Academic Achievement
Brown, G. T. L., Peterson, E. R., & Yao, E. S. (2016) · British Journal of Educational Psychology · doi:10.1111/bjep.12126 · Cited by 198 · 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
Mind the gap! Students’ use of exemplars and detailed rubrics as formative assessment
Lipnevich, A. A., McCallen, L. N., Miles, K. P., & Smith, J. K. (2014) · Instructional Science · doi:10.1007/s11251-013-9299-9 · Cited by 116 · see citing works
Self-citationChodorow, M. S., Gamon, M., & Tetreault, J. (2010) · Language Testing · doi:10.1177/0265532210364391 · Cited by 115 · see citing works
Assessing student perceptions and use of instructor versus <scp>AI</scp> ‐generated feedback
Er, E., Akçapınar, G., Bayazıt, A., Noroozi, O., & Banihashem, S. K. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13558 · Cited by 114 · see citing works
Roscoe, R. D., Wilson, J., Johnson, A. C., & Mayra, C. R. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.076 · Cited by 98 · see citing works
Turning Self-Assessment into Self-Feedback
Panadero, E., Lipnevich, A. A., & Broadbent, J. (2019) · Springer eBooks · doi:10.1007/978-3-030-25112-3_9 · Cited by 103 · see citing works
Self-citationSchool grades and students’ emotions: Longitudinal models of within-person reciprocal effects
Pekrun, R. H., Marsh, H. W., Suessenbach, F., Frenzel, A. C., & Goetz, T. (2022) · Learning and Instruction · doi:10.1016/j.learninstruc.2022.101626 · Cited by 100 · see citing works
Feedback that works: a realist review of feedback interventions for written tasks
Ajjawi, R., Kent, F., Broadbent, J., Tai, J. H.-M., Bearman, M., & Boud, D. (2022) · Studies in Higher Education · doi:10.1080/03075079.2021.1894115 · Cited by 91 · see citing works
Web‐based feedback after summative assessment: how do students engage?
Harrison, C., Könings, K. D., Molyneux, A., Schuwirth, L., Wass, V., & van der Vleuten, C. P. M. (2013) · Medical Education · doi:10.1111/medu.12209 · Cited by 90 · see citing works
Deficiencies of Traditional Grading Systems and Recommendations for the Future
Cain, J. J., Medina, M. S., Romanelli, F., & Persky, A. M. (2021) · American Journal of Pharmaceutical Education · doi:10.5688/ajpe8850 · Cited by 87 · see citing works
Adarkwah, M. A. (2021) · SN Social Sciences · doi:10.1007/s43545-021-00086-w · Cited by 114 · see citing works
Lui, A. M., & Andrade, H. L. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.751548 · Cited by 71 · see citing works
Facilitating Students’ Active Engagement with Feedback
Jönsson, A., & Panadero, E. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316832134.026 · Cited by 69 · see citing works
The Impact of Feedback on Goal Setting and Task Performance
Krenn, B., Würth, S., & Hergovich, A. (2013) · Swiss Journal of Psychology · doi:10.1024/1421-0185/a000101 · Cited by 70 · see citing works
Should I grade or should I comment: Links among feedback, emotions, and performance
Lipnevich, A. A., Murano, D., Krannich, M., & Goetz, T. (2021) · Learning and Individual Differences · doi:10.1016/j.lindif.2021.102020 · Cited by 69 · see citing works
Self-citationRios, J. A., Liu, O. L., & Bridgeman, B. (2014) · New Directions for Institutional Research · doi:10.1002/ir.20068 · Cited by 68 · see citing works
Fun in the College Classroom: Examining Its Nature and Relationship with Student Engagement
Tews, M. J., Jackson, K., Ramsay, C. M., & Michel, J. W. (2015) · College Teaching · doi:10.1080/87567555.2014.972318 · Cited by 67 · see citing works
Dignath, C., van Ewijk, R. J. G., Perels, F., & Fabriz, S. (2023) · Educational Psychology Review · doi:10.1007/s10648-023-09718-4 · Cited by 72 · see citing works
Polychroni, F., Hatzichristou, C., & Sideridis, G. D. (2011) · Learning and Individual Differences · doi:10.1016/j.lindif.2011.10.005 · Cited by 56 · see citing works
de Kraker-Pauw, E., van Wesel, F., A, L. K. M., & van Atteveldt, N. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01594 · Cited by 54 · see citing works
Instructional Feedback in Writing
Graham, S. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316832134.009 · Cited by 55 · see citing works
Prevention–Permission–Promotion: A Review of Approaches to Errors in Learning
Wong, S., & Lim, S. (2018) · Educational Psychology · doi:10.1080/00461520.2018.1501693 · Cited by 53 · see citing works
Just opt in: How choosing to engage with technology impacts business students’ academic performance
Beatson, N. J., Gabriel, C., Howell, A. M., Scott, S. G., van der Meer, J., & Wood, L. C. (2019) · Journal of Accounting Education · doi:10.1016/j.jaccedu.2019.100641 · Cited by 47 · see citing works
What do grades mean? Variation in grading criteria in American college and university courses
Lipnevich, A. A., Guskey, T. R., Murano, D. M., & Smith, J. K. (2020) · Assessment in Education Principles Policy and Practice · doi:10.1080/0969594x.2020.1799190 · Cited by 47 · see citing works
Self-citationThe Perception of Students and Faculty Staff on the Role of Constructive Feedback
Al-Hattami, A. A. (2018) · International Journal of Instruction · doi:10.29333/iji.2019.12157a · Cited by 44 · see citing works
Summative and Formative Feedback
Brookhart, S. M. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316832134.005 · Cited by 45 · see citing works
Faber, J. M., & Visscher, A. J. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.03.008 · Cited by 43 · see citing works
Students’ Perception of the Use of a Rubric and Peer Reviews in an Online Learning Environment
Mphahlele, L. (2022) · Journal of risk and financial management · doi:10.3390/jrfm15110503 · Cited by 45 · see citing works
The Many Faces of Formative Assessment
Stull, J. C., Jansen‐Varnum, S. A., DUCETTE, J. P., & Schiller, J. (2011) · Digital Scholarship - UNLV (University of Nevada Reno) · Cited by 39 · see citing works
Schiller, R., Fleckenstein, J., Mertens, U., Horbach, A., & Meyer, J. (2024) · Computers & Education · doi:10.1016/j.compedu.2024.105163 · Cited by 36 · see citing works
Bembenutty, H., White, M. C., & DiBenedetto, M. K. (2016) · Plenum series on human exceptionality · doi:10.1007/978-3-319-28606-8_9 · Cited by 35 · see citing works
Effects of Digital Score Reporting and Feedback on Students' Learning in Higher Education
Bulut, O., Cutumisu, M., Aquilina, A. M., & Singh, D. (2019) · Frontiers in Education · doi:10.3389/feduc.2019.00065 · Cited by 37 · see citing works
Lipnevich, A. A., Gjicali, K., Asıl, M., & Smith, J. K. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110086 · Cited by 35 · see citing works
Self-citationAutomated Guidance for Thermodynamics Essays: Critiquing Versus Revisiting
Donnelly-Hermosillo, D. F., Vitale, J. M., & Linn, M. C. (2015) · Journal of Science Education and Technology · doi:10.1007/s10956-015-9569-1 · Cited by 36 · see citing works
Portuguese university students’ conceptions of assessment: taking responsibility for achievement
Flores, M. A., Brown, G., Pereira, D., Coutinho, C. P., Santos, P., & Pinheiro, C. (2019) · Higher Education · doi:10.1007/s10734-019-00415-2 · Cited by 36 · see citing works
Formative assessment and feedback in medical education: A practical guide: AMEE Guide No. 189
Lipnevich, A. A., Mattern, K., & Feddock, C. (2026) · Medical Teacher · doi:10.1080/0142159x.2025.2569623 · Cited by 37 · see citing works
Self-citationKeep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning
Sharma, K., Lee‐Cultura, S., & Giannakos, M. N. (2022) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.713176 · Cited by 35 · see citing works
Effective teachers and teaching: Characteristics and practices related to positive student outcomes.
Roehrig, A. D., Turner, J. E., Arrastia-Chisholm, M. C., Christesen, E., McElhaney, S., & Jakiel, L. M. (2011) · American Psychological Association eBooks · doi:10.1037/13274-020 · Cited by 31 · see citing works
The Long-Term Effect of Automated Writing Evaluation Feedback on Writing Development
Lee, Y.-J. (2020) · English Teaching · doi:10.15858/engtea.75.1.202003.67 · Cited by 26 · see citing works
Automated Writing Instruction and Feedback: Instructional Mode, Attitudes, and Revising
Roscoe, R. D., Allen, L. K., Johnson, A. C., & McNamara, D. S. (2018) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931218621471 · Cited by 24 · see citing works
Lui, A. M., & Andrade, H. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.751549 · Cited by 30 · see citing works
Yang, N., & Ghislandi, P. (2024) · Higher Education · doi:10.1007/s10734-023-01173-y · Cited by 23 · see citing works
Feelings on feedback: Children’s emotional responses during mathematics problem solving
Merrick, M., & Fyfe, E. R. (2023) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2023.102209 · Cited by 23 · see citing works
Barenberg, J., & Dutke, S. (2013) · Metacognition and Learning · doi:10.1007/s11409-013-9098-3 · Cited by 23 · see citing works
Perera, L., Nguyen, H. T. M., & Watty, K. (2014) · Accounting Education · doi:10.1080/09639284.2014.947093 · Cited by 23 · see citing works
Vlachou, M. A. (2018) · Cogent Education · doi:10.1080/2331186x.2018.1455633 · Cited by 27 · see citing works
Student reactions to AI versus human feedback in teamwork skills assessment
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Goetz, T., Frenzel, A. C., Stockinger, K., Lipnevich, A. A., Stempfer, L., & Pekrun, R. H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818630-5.14032-1 · Cited by 22 · see citing works
Self-citationAnchored in praise? Potential manifestation of the anchoring bias in feedback reception
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“These results are somewhat surprising as earlier studies have shown that students can use comments to improve work (see Lipnevich & Smith, 2009a, 2009b).”
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McNaught, K., & Benson, S. (2015) · Student Success · doi:10.5204/intjfyhe.v6i1.249 · Cited by 17 · see citing works
Alitto, J., Malecki, C. K., Coyle, S., & Santuzzi, A. M. (2016) · Journal of School Psychology · doi:10.1016/j.jsp.2016.03.002 · Cited by 17 · see citing works
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Ediyanto, E. (2016) · Jurnal Pendidikan Fisika Indonesia · doi:10.15294/jpfi.v12i2.5906 · Cited by 15 · see citing works
Mard, S. A., & Ghafouri, S. (2020) · Advances in Medical Education and Practice · doi:10.2147/amep.s264120 · Cited by 15 · see citing works
Munshi, C., & Deneen, C. C. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316832134.017 · Cited by 14 · see citing works
Devi, V., Mandal, T., Kodidela, S., & Pallath, V. (2012) · Journal of Postgraduate Medicine · doi:10.4103/0022-3859.105447 · Cited by 14 · see citing works
Brown, G., & Harris, L. R. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316832134.007 · Cited by 14 · see citing works
Zheng, W., & Cheung Tse, A. W. (2023) · 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) · doi:10.1109/tale56641.2023.10398319 · Cited by 13 · see citing works
Merrick, M., & Fyfe, E. R. (2024) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2024.105865 · Cited by 14 · see citing works
Neitzel, C. L., & Connor, L. A. (2017) · Journal of Research in Childhood Education · doi:10.1080/02568543.2017.1347113 · Cited by 13 · see citing works
Huang, J., Cai, Y., Lv, Z., Huang, Y., & Zheng, X. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1356852 · Cited by 12 · see citing works
Designs for Learning Analytics to Support Information Problem Solving
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Krenn, B., Würth, S., & Hergovich, A. (2013) · Studia Psychologica · doi:10.21909/sp.2013.02.628 · Cited by 12 · see citing works
Computer-based feedback in formative assessment
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Lovász, A., Bat-Erdene, B., Cukrowska‐Torzewska, E., Rigó, M., & Szabó‐Morvai, Á. (2022) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2022.101954 · Cited by 11 · see citing works
Baadte, C., & Kurenbach, F. (2016) · European Journal of Psychology of Education · doi:10.1007/s10212-016-0312-y · Cited by 10 · see citing works
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ÖZALP, M. T. (2022) · Ahmet Keleşoğlu Eğitim Fakültesi Dergisi · doi:10.38151/akef.2022.28 · Cited by 9 · see citing works
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Ernst, H. M., Prinz‐Weiß, A., Wittwer, J., & Voss, T. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1391093 · Cited by 11 · see citing works
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Krebs, C. A., Kuhn, S. A. C., Brewer, A. T., & Diller, J. W. (2021) · Journal of Behavioral Education · doi:10.1007/s10864-021-09434-5 · Cited by 9 · see citing works
Chua, H. L., Lee, S. H., & Fulmer, G. W. (2017) · Asia-Pacific Science Education · doi:10.1186/s41029-017-0015-y · Cited by 11 · see citing works
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Lipnevich, A. A., Lopera-Oquendo, C., Tomazin, L., Gutterman, J., & Florentin, C. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1567704 · Cited by 8 · see citing works
Self-citationStupacher, J. (2025) · Discover Education · doi:10.1007/s44217-025-00663-8 · Cited by 8 · see citing works
Learning programming online: Influences of various types of feedback on programming performances
Çakıroğlu, Ü., Atabaş, S., Sarıyalçınkaya, A. D., & Öner, İ. E. (2020) · International Journal of Computer Science Education in Schools · doi:10.21585/ijcses.v3i3.57 · Cited by 8 · see citing works
Gao, X., & Brown, G. (2023) · Education Sciences · doi:10.3390/educsci13111090 · Cited by 16 · see citing works
The impact of peer assessment design on interpersonal processes: A systematic review
Senden, M., & Coertjens, L. (2024) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2024.101405 · Cited by 12 · see citing works
Savu, C. F., & Pehoiu, C. (2018) · Revista Romaneasca pentru Educatie Multidimensionala · doi:10.18662/rrem/83 · Cited by 8 · see citing works
Human Systems Engineering and Educational Technology
Roscoe, R. D., Branaghan, R. J., Cooke, N. J., & Craig, S. D. (2017) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-2639-1.ch001 · Cited by 8 · see citing works
Cutajar, M. (2014) · Lancaster EPrints (Lancaster University) · Cited by 8 · see citing works
The Contribution of Teacher Feedback to Learners’ Work Revision: A Systematic Literature Review
Charalampous, A. K., & Δάρρα, Μ. Δ. (2023) · World Journal of Education · doi:10.5430/wje.v13n3p40 · Cited by 17 · see citing works
Shukla, J., & Singh, R. M. (2024) · Metacognition and Learning · doi:10.1007/s11409-024-09404-y · Cited by 7 · see citing works
- Authors
- Lipnevich, A. A., & Smith, J. K.
- Affiliations
- Educational Testing Service (US)
- University of Otago (NZ)
- Venue
- Journal of Experimental Psychology: Applied
- Published
- 2009-12
- Volume
- 15
- Issue
- 4
- Pages
- 319-333
- ISSN
- 1076-898X (ISSN-L)
- 1939-2192
- OpenAlex
- W2105456679
- Cited by
- 199
- References
- 56
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 22 · 2023: 16 · 2022: 18 · 2021: 20 · 2020: 8 · 2019: 16 · 2018: 21 · 2017: 9 · 2016: 9 · 2015: 7 · 2014: 8 · 2013: 7 · 2012: 2
- FWCI
- 8.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Psychology Applied (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Evaluation of Teaching Practices
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
- Keywords
- feedback, differential feedback, essay tests, student performance, descriptive feedback, evaluative feedback, automated feedback, instructor feedback, GRADE, praise, introductory psychology course
- MeSH terms
- Achievement, Adolescent, Adult, Affect, Analysis of Variance, Computer-Assisted Instruction, Educational Measurement, Female, Humans, Male, Middle Aged, Motivation, Personality Inventory, Surveys and Questionnaires, Social Perception, Students, Teaching, Universities, Feedback, Psychological
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