Design and Application of Project-Based Learning Based on Generative Artificial Intelligence

Shan Hu, Rui Shi, Zhenhua Li

Advances in Computer and Materials Scienc Research Vol. 4 / No. 1 / pp. 148-155 / January 16, 2026

DOI 10.70114/acmsr.2025.4.1.P148

Full Screen
PDF

Abstract

In the era of artificial intelligence, the integration of generative artificial intelligence (GAI) technology with project-based learning (PBL) provides new opportunities for educational practices. Under the perspective of intelligent technology empowering PBL, this study addresses the practical issues in PBL by proposing a shift in learning objectives, themes, contexts, and evaluations. By leveraging the advantages of intelligent technology, high-quality PBL design can be achieved. This research constructs a practical pathway for PBL based on GAI, encompassing three stages: pre-class, in-class, and post-class, with specific applications of human-machine integration. The results indicate that GAI can effectively improve the quality and efficiency of project-based learning by providing systematic intelligent technical support in project-based learning, and realize the collaborative development of "teacher-machine-student".

Keywords

Generative Artificial Intelligence / Project-Based Learning / Instructional Design / Technology Empowerment

2025 International Conference on Energy, Environment, Materials, and Intelligent Technologies

Full Text

Download PDF

More in This Issue

  1. 37 Analysis of Leakage And Remediation Measures for Large Water Conveyance Canals pp. 37–45
  2. 46 Seasonal land-Sea Difference of Arctic Amplification Strength: Insights From Reanalysis Datasets pp. 46–52
  3. 119 Study on The Thermal Characteristics of Solar Assisted Oxygen Enriched High Back Pressure Heating Units pp. 119–126
  4. 112 Comparative Analysis of Reinforcement Methods for Containerized Propellant Transport: Specialized Railcars vs. Covered Wagons pp. 112–118
Full Issue

Cite This Article