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

Mutia El Khairat (), Sariani Sariani, Fithratul Miladiyenti, Muthia Damaiyanti, Desi Yulastri, Martini Martini, Astuti Pratiwi and Silvia Djonnaidi
Additional contact information
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

A chapter in Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025), 2025, pp 296-304 from Springer

Abstract: 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

Keywords: AI-Driven Chatbot; Deepseek; EFL; Higher Vocational Institution; Terminology Proficiency (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-938-4_35

Ordering information: This item can be ordered from
http://www.springer.com/9789464639384

DOI: 10.2991/978-94-6463-938-4_35

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().