Student reactions to AI versus human feedback in teamwork skills assessment

Abstract As AI technologies become increasingly integrated into education, this research investigates how students react to AI-generated versus human feedback in teamwork skills assessment. In Study 1, 108 students completed a virtual teamwork simulation and received assessment feedback framed as either AI- or human-generated. Students showed a clear preference for human feedback over AI feedback, revealing a bias against machine-generated evaluations. Study 2, a scenario-based experiment involving 322 students, confirmed these findings and tested whether enhancing AI feedback with credibility and empathy cues could improve perceptions. These enhancements significantly improved reactions to AI feedback, and when both credibility and empathy were emphasized, reactions approached those for unenhanced human feedback. However, even with enhancements, AI feedback did not fully match the positive perceptions of human feedback. These findings highlight the need for thoughtful design to mitigate biases against AI feedback and suggest that blending AI and human feedback offers an effective approach for improving acceptance and engagement in educational contexts.

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Publication Details

Journal
International Journal of Educational Technology in Higher Education
Published
2025-10-09
DOI
https://doi.org/10.1186/s41239-025-00555-9
Citations
3
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
9.74
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article

Student reactions to AI versus human feedback in teamwork skills assessment

Igor Kotlyar, Joe Krasman
3 citations
International Journal of Educational Technology in Higher Education
Software Engineering Techniques and Practices
9.74
article

Student reactions to AI versus human feedback in teamwork skills assessment

Igor Kotlyar, Joe Krasman
article en
3 citations

Abstract

Abstract As AI technologies become increasingly integrated into education, this research investigates how students react to AI-generated versus human feedback in teamwork skills assessment. In Study 1, 108 students completed a virtual teamwork simulation and received assessment feedback framed as either AI- or human-generated. Students showed a clear preference for human feedback over AI feedback, revealing a bias against machine-generated evaluations. Study 2, a scenario-based experiment involving 322 students, confirmed these findings and tested whether enhancing AI feedback with credibility and empathy cues could improve perceptions. These enhancements significantly improved reactions to AI feedback, and when both credibility and empathy were emphasized, reactions approached those for unenhanced human feedback. However, even with enhancements, AI feedback did not fully match the positive perceptions of human feedback. These findings highlight the need for thoughtful design to mitigate biases against AI feedback and suggest that blending AI and human feedback offers an effective approach for improving acceptance and engagement in educational contexts.

International Journal of Educational Technology in Higher EducationVol. 22(1)
Ontario Tech University (CA)
Openalex Percentile: Top 2%
Software Engineering Techniques and Practices
9.74
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Student reactions to AI versus human feedback in teamwork skills assessment — Igor Kotlyar, Joe Krasman · International Journal of Educational Technology in Higher Education (2025) | TGRS Research Map | TGRS