Research on the Dual-Pathway Impact of Artificial Intelligence Technology on Teachers' Human-Machine Collaboration

Authors

  • Yujie XU Faculty of Education, East China Normal University Author
  • Yiling HU Faculty of Education, East China Normal University Author

DOI:

https://doi.org/10.58459/icce.2024.4966

Abstract

Based on the Job Demands-Resources (JD-R) theory and the Unified Theory of Acceptance and Use of Technology (U TAUT) model, the study proposed and tested the dual-pathway impact of artificial intelligence (Al) technology on teachers' human-machine collaboration. The results indicated that Al had both negative and positive effects on teachers' human-machine collaboration. Specifically, perceived risk, through the partial mediating effect Of Al anxiety, negatively influenced the collaboration between teachers and Al. Conversely, technology acceptance had a positive influence on teachers' human-machine collaboration through the partial mediation of human- machine compatibility.

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Published

2024-11-25

How to Cite

Research on the Dual-Pathway Impact of Artificial Intelligence Technology on Teachers’ Human-Machine Collaboration. (2024). International Conference on Computers in Education. https://doi.org/10.58459/icce.2024.4966