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Generative AI Integration in Education: Challenges and Approaches

  • Steven Watson,
  • Shengpeng Shi

摘要

Generative AIGenerative AI (GenAI), exemplified by models, such as ChatGPTChat generative pre-trained transformer (ChatGPT), Gemini, and Midjourney, carry transformative potential for educational personalisation and inclusion. Yet, its integration into educational systems raises concerns about its ethical use, plagiarism, and biasBias. In this chapter, we explain what generative AI is, how it functions and discuss how it can be integrated into educational programmes and practices. We advocate for approaches that are human-centred, where educators and learners have direct access to and are encouraged to use generative AI models to develop generative AI literacyGenerative AI literacy–learning by doing Learning by doing. Although it is a challenging mode of integration, we set out an approach for researching the ethical and effective integration of generative AI in educationArtificial intelligence in education (AIED). This involves conducting participatory transdisciplinary research using a design-based researchDesign-based research methodology (DBR). This is to facilitate iterative but sustainable transformation in educational practices, advocating for systemic change over superficial adoption.