Students report that GenAI's immediate feedback enabled iterative learning and low-stakes practice, the dominant qualitative themes of the intervention¶

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Design limits · Haifang Liu 2026: no comparison group; the intervention came bundled with another change; groups were assigned but students were analysed as independent · Haifang Liu 2026 (2): the intervention came bundled with another change; groups were assigned but students were analysed as independent (read from the study by two models, 2026-10-29)

Subclaims¶

q1 i? Enhanced legal understanding through AI-driven iterative feedback comprised 42% of coded citations; confidence building and self-regulated learning comprised 31%. → Haifang Liu 2026 q1 i? Students who engaged most actively in iterative testing of their reasoning tended to perform better on post-test evaluations. → Haifang Liu 2026 (2)

Evidence¶

Haifang Liu 2026¶

Haifang Liu. (2026). AI-enhanced legal pedagogy: a case study of generative AI integration in property law courses. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10698-9

q1 · i? · causal · r2

Thematic analysis (NVivo 14, intercoder κ = .83) of interviews with 30 purposively sampled students and bi-weekly reflection journals; percentages are proportions of coded citations, not effect sizes, so impact is null.

"The dominant theme, enhanced legal understanding through AI-driven education, comprised 42% of all coded citations. Students emphasized how iFlytek Spark's immediate feedback enabled iterative learning. They could test hypotheses, receive instant responses, and refine their analyses through multiple rounds"

Haifang Liu 2026 (2)¶

Haifang Liu. (2026). AI-enhanced legal pedagogy: a case study of generative AI integration in property law courses. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10698-9

q1 · i? · causal · r2

The article reports, immediately after a student's account of iterative re-testing, that students "who engaged most actively in this iterative process tended to" perform better on post-test evaluations; it is an observational tendency with no statistic printed, so impact is null.

"If my reasoning was faulty, I simply revisit it, make new determinations, and test again, all without needing days for professors’ input." Students who engaged most actively in this iterative process tended to"

Discussion¶

Related Claims¶

• GenAI-enhanced instruction is associated with substantially greater legal reasoning gains than traditional instruction in property law, though the effect size warrants cautious interpretation — related
• Student reflections identify speed and scaffolding as the dominant theme, with verification burden, overreliance worries, and prompt precision also prevalent — related
• Qualitative themes: efficiency and peer influence drive AI use, while confidence and rule ambiguity shape students' perceptions of dependence — related
• Case analysis assistance and Socratic dialogue simulation dominated GenAI usage, and dialogue-based interaction patterns were associated with better outcomes than passive use — related