Exploring Subject Knowledge Gap in ESP Teaching: Perspectives of Language and Subject Specialist Teachers on AI Integration

نویسندگان

1 Biskra University

2 Setif 2 University

doi
10.22132/tel.2024.460057.1621
چکیده

This study investigates the dynamics of subject knowledge among non-native language ESP teachers and the use of artificial intelligence (AI) technologies, notably ChatGPT, in addressing the subject knowledge gap. Drawing on insights from language and subject specialist ESP instructors, the study investigates their strategies for dealing with subject knowledge gaps as well as their opinions of AI integration in professional development. The study uses a mixed-methods approach that includes surveys and interviews to reveal the problems that language experts experience while accessing subject-specific content and emphasizes the need for sustainable methods for professional development. Furthermore, the study reveals a cautious attitude toward AI technologies among ESP professionals, with reservations voiced regarding the efficacy and frequency of using ChatGPT to bridge the subject knowledge gap. Despite reservations, there remains an optimistic outlook on the potential of AI tools to support subject knowledge acquisition. The findings highlight the need for a balanced approach to AI integration, combining technological advancements with human expertise to enhance language learning outcomes in ESP instruction.