Research on the Dual-Pathway Impact of Artificial Intelligence Technology on Teachers' Human-Machine Collaboration
DOI:
https://doi.org/10.58459/icce.2024.4966Abstract
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.
Downloads
Download data is not yet available.
Downloads
Published
2024-11-25
Conference Proceedings Volume
Section
Articles
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