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Man vs Machine: Can AI Grade and Give Feedback Like a Human?

Author

Listed:
  • Chevalier, Arnaud

    (Royal Holloway, University of London)

  • Orzech, Jakub

    (University of London)

  • Stankov, Petar

    (University of London)

Abstract

Grading and providing feedback are two of the most time-consuming activities in education. We developed a randomised controlled trial (RCT) to test whether they could be performed by generative artificial intelligence (Gen-AI). We randomly allocated undergraduate students to feedback provided either by a human instructor, ChatGPT 3.5, or ChatGPT 4. Our results show that: (i) Students treated with the freely accessible ChatGPT 3.5 received lower grades in subsequent assessments than their peers in the control group who always received human feedback; (ii) No such penalty was observed for ChatGPT 4. Separately, we tested the capacity of Gen-AI to grade student work. Gen-AI grades and ranks were significantly different than human-generated grades. Overall, while the newest LLM helps learning as well as a human, its ability to grade student work is still inferior.

Suggested Citation

  • Chevalier, Arnaud & Orzech, Jakub & Stankov, Petar, 2024. "Man vs Machine: Can AI Grade and Give Feedback Like a Human?," IZA Discussion Papers 17511, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp17511
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    More about this item

    Keywords

    feeback; grading; Artificial Intelligence; learning with Gen-AI;
    All these keywords.

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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