Construction and Implementation of Generative AI-Based Human-Machine Collaborative Classroom Teaching Model in Universities

Human-machine collaborative teaching has become an important trend of classroom change in universities nowadays. Generative AI (GAI), with its excellent capabilities such as intelligent emergence, strong cognitive and high versatility, has provided important support in empowering university students to expand their learning experience, enhance their learning abilities and improve their learning performance. Exploring the GAI-based human-machine collaborative classroom teaching model in universities can empower students to achieve high-quality self-development. Guided by Synergy Theory, Distributed Cognition Theory, Information Processing Theory and Instructional Design Theory, this study adopted the methods of literature research, theoretical deduction and action research to clarify the connotation elements of human-machine collaborative classroom in universities. Then, this study analyzed the teaching mechanism of GAI-based human-machine collaborative classroom in universities, synthesized six elements of human-machine collaborative classroom and constructed the GAI-based human-machine collaborative. Subjects-Objectives-Content-Activities-Evaluation-Environment (SOCAEE) classroom teaching model in universities. Finally, two rounds of teaching practice were carried out for the university course. The results showed that the GAI-based human-machine collaborative SOCAEE classroom teaching model in universities constructed in this study can effectively improve students’ classroom learning performance, enhance students’ human-machine collaborative learning ability and enrich students’ human-machine collaborative learning experience.