Integrating Large Language Models Into Creative Project-Based Learning for Enhanced Innovation

Abstract

The integration of Large Language Models (LLMs) into Creative Project-Based Learning (CPBL) enhances student engagement and creativity. This chapter proposes a framework embedding LLMs within CPBL using the Double Diamond model, guiding students through Discover, Define, Develop, and Deliver. LLMs serve as cognitive tools for idea generation, refining problem statements, and articulating outputs. The framework highlights prompt engineering, ethical considerations, and educator guidance to maintain student agency and ensure responsible AI use. The integration is evaluated using quantitative methods (Ennis' taxonomy, modified Torrance Test of Creative Thinking) and qualitative methods (interviews, prompt analysis). Findings suggest LLMs improve student autonomy, divergent thinking, and collaboration, offering valuable insights for educators and instructional designers. The chapter also explores future research into AI's pedagogical and ethical impacts in education.

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