Chen, Jia-Ching
Graduate Student, Continuing Education Master’s Program of Technological
Management, Department of Industrial Education, College of Technology and Engineering, National Taiwan Normal University
E-mail：chingbox7@gmail.com
Abstract
With the explosive growth of Generative Artificial Intelligence (Generative AI) technology, the field of education is undergoing an inevitable transformation. In the past, technology-assisted learning primarily focused on leveraging search engines for information retrieval. However, the emergence of Generative AI demands that learners shift from a traditional, singular “retrieval” mindset to mastering “programmed prompting” to guide AI in generating logical and high-quality content. This study aims to integrate Problem-Based Learning (PBL) scenarios with progressive prompting strategies to provide students with incremental clues and guidance, moving from abstract concepts to concrete applications. This approach not only facilitates meaningful knowledge construction and reflection among students but also enables Generative AI to truly serve as an intelligent partner in problem-solving.
Keywords：Problem-Based Learning (PBL), Generative Artificial Intelligence, Prompt Engineering