Raising the Bar: Automating Consistent and Equitable Student Support with LLMs
Large Language Models (LLMs) can be used to automate many aspects of the educational field. In this paper, we look into the benefits of automating responses to student questions in course discussion forums using our Retrieval-Augmented Generation (RAG)-based LLM pipeline (Edison). Our research questions are:
Authors
- Victoria Phelps (ORCID: https://orcid.org/0009-0007-0620-9066)
- Rishi K. Jain (ORCID: https://orcid.org/0009-0002-9890-2143)
- Gireeja Ranade (ORCID: https://orcid.org/0000-0002-6747-4492)
- Rose Niousha (ORCID: https://orcid.org/0000-0003-2587-6079)
- Meenakshi Mittal (ORCID: https://orcid.org/0000-0001-8229-0301)
- Chancharik Mitra (ORCID: https://orcid.org/0009-0008-9826-7534)
- Narges Norouzi (ORCID: https://orcid.org/0000-0001-9861-7540)
- Mihran Miroyan (ORCID: https://orcid.org/0009-0001-6338-6671)
- Aimee Gotway Bailey
Institutions
- Carnegie Mellon University (US)
- University of California, Berkeley (US)
Publication Details
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1145/3641555.3705237
- Citations
- 3
- Primary Topic
- Legal Education and Practice Innovations
- Type
- article
- Field-Weighted Citation Impact
- 47.95