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Enhancing Terminology Proficiency of EFL’s Higher Vocational Institution Students through AI-Assisted Learning

In: Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025)

Author

Listed:
  • Mutia El Khairat

    (Politeknik Negeri Padang, English Department)

  • Sariani Sariani

    (Politeknik Negeri Padang, English Department)

  • Fithratul Miladiyenti

    (Politeknik Negeri Padang, English Department)

  • Muthia Damaiyanti

    (Politeknik Negeri Padang, English Department)

  • Desi Yulastri

    (Politeknik Negeri Padang, English Department)

  • Martini Martini

    (Politeknik Negeri Padang, English Department)

  • Astuti Pratiwi

    (Politeknik Negeri Padang, English Department)

  • Silvia Djonnaidi

    (Politeknik Negeri Padang, English Department)

Abstract

The phenomenon of Artificial Intelligence (AI) driven chatbots as a language learning tool has been a topical issue these days. Due to its high-tech feature, it is considered one of the effective ways to encourage students to enhance their language ability independently. There were many studies about this top-ic in Indonesia, but this research focuses on investigating how effective chatbots are in building the terminology proficiency of English as a Foreign Language (EFL) students in vocational institutions. The study involved 50 third-year students at the English Department, Politeknik Negeri Padang (PNP), West Sumatra, Indonesia. It is designed as a mixed-method study and implements a concurrent triangulation strategy. There are three instruments used for data collection: pre-test and post-test, five Likert scale question-naire, and open-ended interview. After pre-test, the participants are taught to use DeepSeek, one of the latest chatbots, as personal assistant in helping them comprehend specialized terminology while completing their project in the Workshop on Interpreting class. It has DeepThink feature which presents its point of view before responding to the prompt given. By utilizing a paired sample t-test, a significant improvement in the students’ terminology profi-ciency is proven by a value of p

Suggested Citation

  • Mutia El Khairat & Sariani Sariani & Fithratul Miladiyenti & Muthia Damaiyanti & Desi Yulastri & Martini Martini & Astuti Pratiwi & Silvia Djonnaidi, 2025. "Enhancing Terminology Proficiency of EFL’s Higher Vocational Institution Students through AI-Assisted Learning," Advances in Economics, Business and Management Research, in: Muhammad Udin Harun Al Rasyid & Nurul Fahmi & Yuliana Sukarmawati & I Wayan Sutina & Upayana Wiguna (ed.), Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025), pages 296-304, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-938-4_35
    DOI: 10.2991/978-94-6463-938-4_35
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