Conference paper 2024

Exploring the Factors Influencing of Teachers’ Acceptance of Artificial Intelligence in Higher Education English Teaching

LY
Luo, Yuxi
 LW
Leong, Wai Yie
IEIR 2024 - Proceedings of the 3rd International Conference on Intelligent Education and Intelligent Research
Conference
Abstract

This research explores the factors influencing English teachers' acceptance of artificial intelligence (AI) in higher education English teaching, extending the Technology Acceptance Model (TAM) to include digital literacy and self-efficacy of teachers. Data from 482 Chinese higher education English teachers were analyzed using Structural Equation Modeling (SEM) with SmartPLS. The results indicate that teachers' digital literacy significantly enhances AI acceptance, along with both perceived ease of use and perceived usefulness. These perceptions further boost teachers' self-efficacy in using AI, thereby promoting broader AI acceptance. The findings highlight the critical roles of teachers' digital literacy and self-efficacy in facilitating integration of AI into higher education English teaching. © 2024 IEEE.

Keywords

Author Keywords

Higher education self-efficacy Digital literacy TAM AI acceptance English teachers

Index Keywords

Teaching Teachers' High educations Digital literacies Self Efficacy Structural equation models English teaching Artificial intelligence acceptance English teacher Perceived ease-of-use Technology acceptance model
Author Affiliations
INTI International University, Nilai, Negeri Sembilan, Malaysia
Tongren Polytechnic College, Tongren, Guizhou, China
Funding & Acknowledgements
No funding information
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