Manuscript received July 13, 2024; revised August 1, 2024; accepted August 9, 2024; published November 12, 2024
Abstract—Flipped Learning (FL) inverts traditional teaching by delivering content online outside the classroom, allowing class time for interactive, hands-on activities. This approach enhances student engagement and understanding. The integration of AI in education has revolutionized traditional teaching methods. Enhancing FL with AI has led to the emergence of what was labeled in this research paper as Flipped Interactive Learning (FIL), which integrates AI-driven tools to support and enrich interactive, personalized learning experiences. This study aimed to examine the impact of the FIL instructional model based on Chat Generative Pre-Trained Transformer (ChatGPT) on students’ programming skills in an undergraduate course. The participants in this study were 74 students. This study used a semi-experimental research design; the control group consisted of 36 students, while the experimental group consisted of 38 students. The experimental group received instruction using the FIL method while the control group received instruction using the conventional FL method. The analysis of the collected data showed that using FIL-based ChatGPT contributed significantly to improving students’ programming skills. Based on the findings of this study, educational institutions should adopt the FIL instructional model in academic settings in general and programming courses in particular, as it significantly improves student learning outcomes compared to conventional FL methods. In addition, institutions should also evaluate the FIL model’s scalability and allocate necessary resources, such as technology infrastructure and support staff, for successful implementation. Further research should identify the most effective components of the FIL model to refine it for broader use. Moreover, continuous student feedback is essential for iterative improvements to meet their needs.
Keywords—flipped interactive learning, ChatGPT, students’ skills, programming course
Cite: Al-Mothana M. Gasaymeh and Reham M. AlMohtadi, "The Effect of Flipped Interactive Learning (FIL) Based on ChatGPT on Students’ Skills in a Large Programming Class," International Journal of Information and Education Technology vol. 14, no. 11, pp. 1516-1522, 2024.