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Published May 25, 2024

Xu Fang  

Abstract

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.

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Keywords
References
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
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