Factors Influencing Teacher Satisfaction with Human-Machine Collaborative Teaching: A Study Based on Structural Equations and Fuzzy-Sets Qualitative Comparative Analysis

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.