MDOI Convergence Chronicles 110.1148/CON.2026.01119
110.1148/CON.2026.01119
Article

Exploring generative artificial intelligence preparedness among university language instructors: A case study

Lucas Kohnke, Benjamin Luke Moorhouse, Di Zou 2024 Convergence Chronicles

Abstract

The integration of generative artificial intelligence (AI) in English language teaching presents opportunities and challenges for instructors. This study explores the attitudes of higher education English language instructors towards generative AI tools, their intentions to use them and the institutional support and professional development necessary to teach and learn with them. As the field continues to evolve rapidly, it is essential to comprehend the readiness of front-line language instructors. This qualitative interpretive study seeks to identify the digital competencies and pedagogical knowledge required to implement generative AI in education and provide guidance for the design of professional development programmes that address the challenges and concerns associated with adopting AI. Drawing on semi-structured interviews with twelve instructors at a higher education institution in Hong Kong, the findings reveal the significance of familiarity and confidence with using AI-driven teaching tools, the challenges and concerns language instructors face and the need for tailored support and professional development. The study offers ten practical implications to cultivate language instructors’ digital competencies, pedagogical knowledge and positive attitudes towards integrating AI to enhance their students’ learning experiences.

Identifier Metadata

Identifier 110.1148/CON.2026.01119
Canonical mdoi:110.1148/CON.2026.01119
Resolver URL https://mdoi.org/110.1148/CON.2026.01119
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Lucas Kohnke, Benjamin Luke Moorhouse, Di Zou
Year 2024
Depositor Convergence Chronicles Organisation
Prefix 110.1148
Registered Aug. 19, 2026
Updated Aug. 19, 2026
Status Active
Visibility Public

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