Analyzing the Role of Generative AI in Fostering Self-directed Learning Through Structured Prompt Engineering
摘要
This study explores the use of Generative AI, particularly large language models such as ChatGPT, in promoting self-directed learning among beginners in programming and data analysis, in the study structured prompts were employed as a key tool to enhance educational engagement and skill acquisition. To study the impact, Engineering students participated in a controlled environment where they utilized these prompts in conjunction with Generative AI to tackle programming-based data analysis tasks independently. We measured the impact of this method by comparing pre-test and post-test scores, which showed a significant improvement, indicating its effectiveness. Moreover, 45% of novice participants completed all assigned tasks. We also conducted semi-structured interviews and analyzed participant responses to understand the role of prompt engineering in self-directed learning. The analysis revealed that structured prompts and Generative AI motivate students and empower them to learn independently.