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dc.contributor.authorMaram, Sai Siddarthaen_US
dc.contributor.authorZaman, Uliaen_US
dc.contributor.authorEl-Nasr, Magy Seifen_US
dc.date.accessioned2025-10-10T12:36:06Z
dc.date.available2025-10-10T12:36:06Z
dc.date.issued2025-07
dc.identifier.urihttps://hdl.handle.net/1721.1/163125
dc.description.abstractOur findings suggest that LLM-based feedback systems offer richer insights, greater contextual relevance, and higher engagement compared to standard survey tools. Instructors valued the system’s adaptability, specificity, and ability to support mid-course adjustments, while students appreciated the conversational format and opportunity for elaboration.en_US
dc.titleListening with Language Models: Using LLMs to Collect and Interpret Classroom Feedbacken_US
dc.typeArticleen_US
dc.relation.journal2025 MIT AI and Education Summit
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US


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