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Exploring Fairness and Explainability in LLM-Generated Support for Online Learning Discussion Forums
Peer reviewed
Download full textZifeng Liu; Wanli Xing; Xinyue Jiao; Chenglu Li – Journal of Learning Analytics, 2025
Large language models (LLMs) hold significant potential to enhance online learning by automating responses to learner queries and offering personalized, scalable support. However, concerns about bias in LLM-generated responses present challenges to their ethical and equitable use in educational settings. This study explores fairness and…
Descriptors: Artificial Intelligence, Natural Language Processing, Electronic Learning, Automation
