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The SEARCH for AI-Informed wellbeing education: a conceptual framework

  • Kelly-Ann Allen
  • , Margaret L. Kern
  • , Joseph Crawford
  • , Michael Cowling
  • , Duyen Vo
  • , Lea Waters

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

The rapid advancement of generative artificial intelligence (AI) and large language model (LLM) technologies, such as ChatGPT-4 and Bard, has the potential to significantly change wellbeing education. This Chapter explores the applications of generative AI technologies in wellbeing education, with a focus on how chatbots and similar can be used to cultivate wellbeing through the SEARCH framework. For clarity, the SEARCH framework focuses on developing Strengths, Emotional management, Attention and awareness, Relationships, Coping, and Habits and goals. We begin by presenting the potential benefits of incorporating generative AI in well-being education. Next, by employing the SEARCH framework as a model of well-being education, the Chapter broadly conceptualises how AI technologies can be used to teach and explore the SEARCH components. The potential impact of AI-enhanced wellbeing education on teaching and learning practice-with implications for preparing teachers with ethical considerations and practical knowledge for using such technology-are also discussed.

Original languageEnglish
Title of host publicationApplications of Generative AI
EditorsZhihan Lyu
Place of PublicationCham Switzerland
PublisherSpringer
Pages277-291
Number of pages15
Edition1st
ISBN (Electronic)9783031462382
ISBN (Print)9783031462375
DOIs
Publication statusPublished - 2024

Keywords

  • Wellbeing education
  • Artificial intelligence
  • ChatGPT
  • Large language models
  • Chatbot
  • Student wellbeing

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