AI-enhanced legal pedagogy: a case study of generative AI integration in property law courses

This research explores the integration of generative artificial intelligence (GenAI) into property law courses within Chinese higher education, focusing on its impact on legal reasoning development and learning outcomes. The study uses an integrated AI-Enhanced Legal Pedagogy Framework, drawing on constructivist learning theory, the Technology Acceptance Model (TAM), and the TPACK framework, to guide effective technology integration.

Why it matters

The introduction of generative AI tools has the potential to significantly alter educational methodologies and learning processes across various disciplines. Understanding its impact and developing effective integration frameworks is crucial for maintaining educational relevance and preparing future professionals with enhanced analytical capabilities.

Key insights

• Generative AI presents significant transformative opportunities for legal education.
• Empirical research on the pedagogical integration of GenAI in legal education is currently limited.
• The study investigates GenAI's impact on legal reasoning development and learning outcomes.
• A new AI-Enhanced Legal Pedagogy Framework was developed, incorporating constructivist learning theory, TAM, and TPACK.
• The research employed a mixed-methods case study design involving 180 law students.
• The intervention used iFlytek Spark over a semester in property law courses.

Source

Educational Technology Research and Development — https://link.springer.com/article/10.1007/s11423-026-10698-9