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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198336" target="_blank" >RIV/00216305:26220/26:0198336 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.filodiritto.com/node/50562" target="_blank" >https://www.filodiritto.com/node/50562</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.26352/L625_2384-9509" target="_blank" >10.26352/L625_2384-9509</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The Future of Education Conference Proceedings

ISBN

979-12-80225-85-6

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

694-700

Název nakladatele

Filodiritto Editore

Místo vydání

Bologna

Místo konání akce

Florencie

Datum konání akce

26. 6. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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