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2024 | OriginalPaper | Buchkapitel

The SEARCH for AI-Informed Wellbeing Education: A Conceptual Framework

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

Erschienen in: Applications of Generative AI

Verlag: Springer International Publishing

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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 wellbeing education. Next, by employing the SEARCH framework as a model of wellbeing 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.

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Vorheriges Kapitel Can Generative Artificial Intelligence Foster Belongingness, Social Support, and Reduce Loneliness? A Conceptual Analysis

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Titel: The SEARCH for AI-Informed Wellbeing Education: A Conceptual Framework
verfasst von: Kelly-Ann Allen
Margaret L. Kern
Joseph Crawford
Michael Cowling
Duyen Vo
Lea Waters
Verlag: Springer International Publishing
Buch: Applications of Generative AI
Print ISBN: 978-3-031-46237-5

Electronic ISBN: 978-3-031-46238-2

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-46238-2_14

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