An Empirical Study on Human-Machine Collaborative MOOC Learning Interaction Empowered by Generative AI

Human-machine collaboration is the future trend of the human social learning. The new data generation capability of the Generative AI has been proven on similar pre-trained models such as ChatGPT. MOOC is an important engine to drive the digital transformation of the higher education in the world. The innovative and practical researches of the human-machine collaborative MOOC learning interaction can offer useful references to build the digital learning ecology with high quality. Guided by the interaction theory and the curriculum theory, this study sorted out the general process of the human-machine collaborative MOOC learning. Then, based on the Human in the Loop (HITL), this study deconstructed the mechanism of the human-machine collaborative MOOC learning interaction, and clarified the empowerment function of the Generative AI. After that, the pattern of the human-machine collaborative MOOC learning interaction empowered by the Generative AI, which constituted with “self-content-society”, was constructed, and it was applied through a national open online course with high quality from the iCourse. Finally, the results of the quantity and quality analysis of the social interactions in the MOOC discussion forum showed that the interaction patterns mentioned above could effectively improve learners’ interactive validity and learning quality.