Book chapter 2025

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

TE
Taheripour, Esmaeil
 GM
Golabzaei, Mobin
 KM
Khakbazan, Masoud
 AA
Abyaneh, Amirhossein Ghasemi
 BM
Bakhshi Movahed, Ali Bakhshi
AI-Augmented Creativity in Learning Analytics
Journal · pp. 211-232
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. © 2026 by IGI Global Scientific Publishing. All rights reserved.

Keywords

Author Keywords

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Index Keywords

Teaching Education computing Students Project based learning student engagement Embeddings Ethical technology Language model Cognitive tool Creative projects Diamond model Ethical considerations Idea generation Problem statement
Author Affiliations
Iran University of Science and Technology, Tehran, Tehran, Iran
Kharazmi University, Tehran, Tehran, Iran
Funding & Acknowledgements
No funding information
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