Towards effective teaching assistants: From intent-based chatbots to LLM-powered teaching assistants

Alsafari, B., Atwell, E., Walker, A. et al. (1 more author) (2024) Towards effective teaching assistants: From intent-based chatbots to LLM-powered teaching assistants. Natural Language Processing Journal, 8. 100101. ISSN 2949-7191

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Alsafari, B.
  • Atwell, E.
  • Walker, A.
  • Callaghan, M.
Copyright, Publisher and Additional Information:

© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Teaching assistant chatbot; Intent-based chatbot; Large language models (LLMs); Retrieval-augmented generation (RAG)
Dates:
  • Published: September 2024
  • Published (online): 23 August 2024
  • Accepted: 20 August 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence
Depositing User: Symplectic Publications
Date Deposited: 11 Sep 2024 13:40
Last Modified: 01 Oct 2024 16:36
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.nlp.2024.100101
Open Archives Initiative ID (OAI ID):

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