INTEGRATING AI-SUPPORTED INQUIRY AND SIMULATION IN PHENOBL PROJECTS
Keywords:
Phenomenon-based learning,, AI-supported inquiry,, simulation, interdisciplinary learning,Abstract
This article explores the integration of artificial intelligence (AI) tools in phenomenon-based learning (PhenoBL) projects, focusing on inquiry-based approaches and simulation technologies. It highlights how AI can support data analysis, model complex phenomena, enhance student engagement, and provide personalized learning experiences. The study examines contemporary pedagogical practices, addresses classroom implementation challenges, and offers recommendations for effectively combining AI-supported inquiry and simulation in interdisciplinary learning projects.
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Takahashi, A., & Sato, K. (2022). Simulations and AI in Interdisciplinary Learning Projects. Journal of Educational Technology, 43(2), 115–130.
