Publication: Teacher, peer, or AI? Comparing effects of feedback sources in higher education
Teacher, peer, or AI? Comparing effects of feedback sources in higher education
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Weidlich, J., Gotsch, F., Schudel, K., Marusic-würscher Claudia, Mazzarella, J., Bolten, H., Bütler, D., Luger, S., Wohlfender, B., & Maag Merki, K. (2025). Teacher, peer, or AI? Comparing effects of feedback sources in higher education. Computers and Education Open, 9, 100300. https://doi.org/10.1016/j.caeo.2025.100300
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With the emergence of Large Language Models (LLMs), AI-generated feedback is gaining traction as a scalable feedback source for higher education. To qualify as viable alternatives for higher education classrooms, its relative effectiveness compared to teacher feedback and peer feedback needs to be better understood. To this end, a randomized field experiment (N = 90) compared the effects of three feedback sources—teacher, peer, and LLM—on students’ feedback perceptions and their achievement. To eliminate potential confounds, we (a) co
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Weidlich, J., Gotsch, F., Schudel, K., Marusic-würscher Claudia, Mazzarella, J., Bolten, H., Bütler, D., Luger, S., Wohlfender, B., & Maag Merki, K. (2025). Teacher, peer, or AI? Comparing effects of feedback sources in higher education. Computers and Education Open, 9, 100300. https://doi.org/10.1016/j.caeo.2025.100300
