Research on the Application of Generative Artificial Intelligence in Human-machine Cooperative Teaching

Abstract

The rise of Generative Artificial Intelligence (GAI) has brought new transformations to education. AI-driven educational applications that employ human-machine collaborative teaching are expected to become one of the mainstream teaching methods in the future. This study proposes a human-machine collaborative teaching model based. It developed a human-machine collaborative learning system utilizing the SparkDesk and the WeChat system, providing learners with functions such as conversation, resource sharing, and intelligent teaching. The study adopts a quasi-experimental research method, using the learning tasks of the "Smart Application of Educational Media" course as an example to test the effectiveness of the model above. The experimental results show that this model and its system can significantly enhance online collaborative learning interaction, improve online collaborative learning performance, and elevate the online collaborative learning experience. Finally, based on the experimental research, three recommendations are made: expanding the application scenarios of human-machine collaborative teaching, cultivating students' abilities and competencies in human-machine collaborative inquiry, and strengthening the evaluation and management of human-machine collaborative teaching, with the aim of profoundly integrating generative AI into human-machine collaborative teaching.

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