Generative AI and case teaching in horticultural education: Advantages, challenges and ethics
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Date
2025
Type
Conference Contribution - unpublished
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Abstract
I facilitate innovative case-based teaching in horticulture by strategically integrating generative AI to enhance student engagement with real-world scenarios. Through structured comparative analysis between AI-generated and scholarly outputs, students develop critical evaluation skills whilst gaining hands-on experience with data analysis and case memo writing. Our evidence-based approach demonstrates the importance of equitable AI access and thoughtful implementation, offering transferable insights for case teaching across disciplines.