Relative to traditional PBL, the AI-IVE-PBL model improves vocational students' design ability and creative ability¶

Claim · All claims
Evidence · 1 study · causal r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In a two-group quasi-experiment in a vocational college, AI-IVE-PBL students showed a marked improvement in design ability and creative ability relative to traditional PBL students. → Jin 2026

Evidence¶

Jin 2026¶

Jin, S., Zhong, Z., Cao, X., & Zhang, W. (2026). Cultivating design creativity of vocational students: A model of project-based learning in AI-enabled immersive virtual environments. Research and Practice in Technology Enhanced Learning, 22, 029. https://doi.org/10.58459/rptel.2027.22029

q2 · i? · causal · r?

Two-group quasi-experiment in a Public Space Interior Design course at a vocational college in Fuzhou, China, comparing AI-IVE-PBL with traditional PBL. The article reports "a marked improvement in students' design ability and creative ability" attributed to sustained idea-developing discourse.

"relative to traditional PBL (T-PBL), the AI-IVE-PBL model significantly enhances learning outcomes by fostering sustained idea-developing discourse (SIDD), as demonstrated by: (1) a marked improvement in students' design ability and creative ability"

Discussion¶

Learner Variables¶

• Creativity — outcome: instruction changes it

Related Claims¶

• The AI-IVE-PBL model's learning-outcome advantages are attributed to fostering sustained idea-developing discourse (SIDD) — related
• Both flipped and AI-enhanced flipped classrooms achieve higher in-class question accuracy than the traditional classroom — related
• Students' main AI challenges are content reliability and depth, and most expect AI to serve as tutor, creative partner, and critical thinking partner rather than mere content generator — related
• Problem-based learning shows a large positive pooled effect on academic achievement (REM ES = 1.560), with heterogeneous study effects — a broader claim this one bears on
• GenAI-assisted education produces significantly higher higher-order thinking abilities than non-GenAI approaches (g = 0.72) — a broader claim this one bears on
• Learning with a ChatGPT-based flipped learning guiding approach significantly improves students’ performance, self-efficacy, learning attitudes, intrinsic motivation and creative thinking in a courseware project — related
• AI-PBL students achieve high normalized learning gains (g = 0.73) in computational thinking and academic achievement while control students record low gains (g ≤ 0.20) — related
• Students perceive peer assessment-based game development as fostering deep learning in in-depth thinking, creativity and motivation — related