#4325

Poster Session

Leveraging AI Tools to Develop Teaching Materials for an ESAP Module in Engineering Education

Time not set

This study investigates the integration of AI tools in developing teaching materials for an English for Specific Academic Purposes (ESAP) module tailored for Engineering students at Xi’an Jiaotong Liverpool University, a Sino-British institution and EMI university. The module enrolls approximately 600 students, with around 120 directly taught by the presenter in groups of about 20 each. The focus is on utilizing AI technologies—such as ChatGPT or DeepSeek—and voice tools like MURF AI to design reading and listening exercises that meet the specific needs of students specializing in fields such as big data and microelectronics. Students are expected to achieve a B2+ level on the Common European Framework of Reference (CEFR) after one year of study. The poster will demonstrate the process of incorporating advanced AI technology into lesson planning by presenting a detailed example of a complete lesson plan that illustrates the development of effective prompts and the generation of materials aligned with targeted learning outcomes and discipline-relevant topics. Employing a reflective approach, this study provides insights into the potential of AI in language teaching for specialized disciplines and offers a teacher’s perspective on the practical applications and challenges of integrating AI in the classroom.