Integrating AI into English for Electrical Engineering and Information Technology Learning Materials

Integrating AI into English for Electrical Engineering and Information Technology Learning Materials

Paper in proceedings outside WoS and Scopus

Integrating artificial intelligence (AI) into English for specific purposes (ESP) teaching and learning offers promising advancements in developing learning materials tailored to specialised fields like electrical engineering and information technology. This study explores the application of ChatGPT, text-to-speech (TTS) and AI image generation technologies in designing ESP learning materials that enhance reading, listening, writing, and speaking skills, focusing on effective technical vocabulary learning. While ChatGPT’s natural language processing capabilities enable the generation of context-specific texts, interactive writing prompts, personalised reading comprehension tasks and speaking activities, TTS applications provide authentic listening experiences through dynamic audio content, enhancing students’ listening and pronunciation skills. The paper outlines methods for designing integrated language tasks using different AI tools, emphasising task authenticity, adaptability, and student engagement. It examines the pedagogical implications of using AI-driven tools in ESP, highlighting their potential for fostering autonomous learning and enhancing technical communication skills. The author addresses challenges related to content authenticity, task complexity, and technology integration, offering practical recommendations for ESP teachers. A questionnaire survey among 127 ESP teachers revealed that only 20 use AI in developing learning materials. The findings indicate that AI is primarily employed to enhance efficiency and creativity in generating texts and tasks, yet challenges such as accuracy, interactivity and real-world authenticity persist. The implications suggest that while AI enhances efficiency and content diversity, educators must critically assess its limitations. Future research should address AI’s pedagogical impact and develop strategies for its optimal integration into ESP instruction.

Integrating artificial intelligence (AI) into English for specific purposes (ESP) teaching and learning offers promising advancements in developing learning materials tailored to specialised fields like electrical engineering and information technology. This study explores the application of ChatGPT, text-to-speech (TTS) and AI image generation technologies in designing ESP learning materials that enhance reading, listening, writing, and speaking skills, focusing on effective technical vocabulary learning. While ChatGPT’s natural language processing capabilities enable the generation of context-specific texts, interactive writing prompts, personalised reading comprehension tasks and speaking activities, TTS applications provide authentic listening experiences through dynamic audio content, enhancing students’ listening and pronunciation skills. The paper outlines methods for designing integrated language tasks using different AI tools, emphasising task authenticity, adaptability, and student engagement. It examines the pedagogical implications of using AI-driven tools in ESP, highlighting their potential for fostering autonomous learning and enhancing technical communication skills. The author addresses challenges related to content authenticity, task complexity, and technology integration, offering practical recommendations for ESP teachers. A questionnaire survey among 127 ESP teachers revealed that only 20 use AI in developing learning materials. The findings indicate that AI is primarily employed to enhance efficiency and creativity in generating texts and tasks, yet challenges such as accuracy, interactivity and real-world authenticity persist. The implications suggest that while AI enhances efficiency and content diversity, educators must critically assess its limitations. Future research should address AI’s pedagogical impact and develop strategies for its optimal integration into ESP instruction.

ESP learning materials; ChatGPT, text-to-speech applications; AI image generation; language skills; specialised vocabulary; questionnaire survey

ESP learning materials; ChatGPT, text-to-speech applications; AI image generation; language skills; specialised vocabulary; questionnaire survey

ELLEDEROVÁ, E.

09.07.2025

Filodiritto Editore

Bologna

979-12-80225-85-6

The Future of Education Conference Proceedings

15

694

700

7

https://www.filodiritto.com/node/50562

Ellederová, E. (2025). Integrating AI into English for Electrical Engineering and Information Technology Learning Materials