Published May 25, 2024

Xu Fang  


Human-machine collaboration, as an important application of intelligent technology, is of vital significance for the advancement of digital transformation in education. Amid the progress in human-machine collaborative teaching, its practical effects and factors influencing teacher satisfaction with it are questions pending in-depth investigation. This study established a model of the factors relating to teacher satisfaction with human- machine collaborative teaching, based on the expectancy confirmation theory, motivation theory and information system success model, in combination with the analysis of interviews.


How to Cite
Fang, X. (2024). Factors Influencing Teacher Satisfaction with Human-Machine Collaborative Teaching: A Study Based on Structural Equations and Fuzzy-Sets Qualitative Comparative Analysis. Best Evidence in Chinese Education, 17(1), 1853–1854. Retrieved from https://bonoi.org/index.php/bece/article/view/1356