Exploring the Impact of Artificial Intelligence Tools on Translation Teachers’ Self-efficacy Beliefs and Professional Development

Abstract

Objective: This study aimed to investigate how the integration of artificial intelligence (AI) tools impacts translation teachers’ self-efficacy beliefs and professional development in the context of translation education. Methods: The research employed a combination of questionnaire surveys and interviews to gather data. A total of twenty-seven translation teachers, who were part of an online learning community for translation teachers in Chinese universities and colleges, willingly participated in the study. All the participants completed the questionnaire survey, and six of them further volunteered to take part in interviews after completing the survey. Results: The results of the study demonstrated that translation teachers possessed a high sense of self-efficacy in integrating AI tools in their teaching practices. They also recognized the positive impact of integrating AI tools on their professional development. Furthermore, they exhibited flexibility by adapting their instructional approaches to enhance students’ translation skills and accuracy. Conclusion: The research examined how the integration of AI tools affected translation teachers’ self-efficacy beliefs and professional development, providing valuable insights into the relationship between these factors in the context of AI tool integration. The results showed that AI tool integration had a substantial impact on translation teachers’ self-efficacy and professional learning. This integration resulted in increased self-efficacy beliefs among teachers and contributed to their professional development. Consequently, teachers were motivated to adapt their teaching methods, aiming to enhance students’ translation skills and accuracy.