Boosting creative learning with Gen-AI-enabled semi-flipped classes and project-based design thinking method

Abstract

This study centres on Generative AI (GenAI) as a core enabling pedagogical tool to examine how integrating GenAI-enabled semi-flipped classes and the Project-Based Design Thinking Method fosters students’ creative learning, interdisciplinary collaboration, and real-world problem-solving. Conducted at a local university, this study analyses GenAI-integrated course methodology, student performance, feedback, and iterative improvements across the 2023 (non-GenAI) and 2025 (GenAI-enabled) cohorts. GenAI is embedded as a foundational enabler across the entire pedagogical lifecycle, applied to three core and interconnected pedagogical links with explicit design logic and measurable outcomes: AI-aided interdisciplinary team formation (via ChatGPT + MBTI personality analysis tools), AI-enhanced pre-class knowledge scaffolding (via domain-specific GenAI platforms), and AI-supported project iteration (via design prototype feedback tools). This work demonstrates that GenAI-enabled hybrid pedagogy is a highly effective method in nurturing core competencies for interdisciplinary youth aiming to address global challenges, and provides a replicable GenAI integration framework for higher education course design.