Generative AI Chatbots and Data-Driven Learning (DDL)

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

Since the launch of ChatGPT by OpenAI in November 2022, the popularity of Generative AI (GenAI) chatbots has surged. This article explores the nature of GenAI chatbots, distinguishing them from traditional rule-based chatbots, and highlighting their potential for data-driven learning (DDL). The high accessibility of GenAI chatbots underpins their popularity and sustained use among contemporary learners. However, concerns about the ‘hallucinations’ of GenAI chatbots and the authenticity of the language they generate raise questions about their readiness as a DDL tool. This entry presents three ways in which GenAI chatbots may be integrated into DDL. It also highlights how recent advances in GenAI chatbots have made it easy for teachers to create custom GPTs for academic writing and for learners to receive personalised and comprehensive feedback on interactive role-plays. The article concludes with an outlook on the future of DDL with GenAI integration.
Original languageEnglish
Title of host publicationEncyclopedia of Computer-Assisted Language Learning
EditorsLee McCallum, Dara Tafazoli
PublisherSpringer
Publication statusAccepted/In press - 30 Jun 2024

Keywords

  • corpus linguistics
  • artificial intelligence
  • generative AI
  • language learning
  • English language teaching
  • AI chatbots
  • computer-assisted language learning
  • language education
  • concordancing
  • digital humanities

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence
  • Education

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