A Conceptual Framework for AI-Assisted Problem-Based Learning in Law Courses for Business Students: Integrating Generative AI and IRAC for Legal Reasoning

This conceptual paper aims to develop and explain an AI-Assisted Problem-Based Learning (AI-PBL) framework that integrates Problem-Based Learning (PBL), generative artificial intelligence (AI), and the IRAC (Issue, Rule, Application, and Conclusion) approach for teaching and learning in law-related courses within business degree programmes. The framework draws on the established learning potential of PBL, the structured reasoning function of IRAC, and the emerging educational role of generative AI to propose an integrated process for authentic legal problem-solving.

Keywords: Generative artificial intelligence (AI); problem-based learning (PBL); legal reasoning; AI literacy; business education.

Generative artificial intelligence (AI), problem-based learning (PBL), legal reasoning, AI literacy, business education.

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