EFL Learners' Perceptions of Gliglish as an AI-Powered Language Learning Tool for Speaking Practice: A tam-based deductive thematic analysis

Liya Umaroh(1*), Mutia Rahmi Pratiwi(2), Choirul Ulil Albab(3)


(1) Universitas Dian Nuswantoro
(2) Universitas Dian Nuswantoro
(3) Universitas Dian Nuswantoro
(*) Corresponding Author

Abstract


The rapid growth of Artificial Intelligence (AI) in language education has altered learners’ approaches to practicing English-speaking skills. Among various AI-powered applications, Gliglish has emerged as an educational tool that provides interactive, engaging speaking practice through real-time conversations and offers immediate, engaging feedback. This study aims to investigate EFL learners’ perceptions and experiences with Gliglish as an AI-powered language learning tool for speaking practice. It uses the Technology Acceptance Model (TAM), with Perceived Usefulness, Perceived Ease of Use, Attitude Toward Use, and Behavioral Intention to Use as the theoretical framework. This is qualitative research with deductive thematic analysis, and data were collected from 50 EFL learners who had experience using Gliglish for English-speaking practice. The results demonstrate that learners perceived Gliglish as an advantageous tool for developing linguistic competence, promoting spontaneous communication, and supporting cross-skill development. Regarding perceived ease of use, participants also noted the platform’s accessibility and user-friendly navigation, although minor technical glitches and freemium limitations were identified as challenges. The study concludes that Gliglish is positively perceived as an effective AI-powered language learning tool that supports speaking development and encourages sustained language learning engagement.


Keywords


Gliglish, Technology Acceptance Model, deductive thematic analysis, EFL learners

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References


Aliyeva, Gulshan Aliaskar. (2026). 21st Century competence structures model of university teachers: Mapping teachers and students views. Futurity Education, 6(2), 4-21.

Billah, A. A., & Sunra, L. (2025). University students’ perceptions of AI-assisted language learning scaffolding in reducing L1 reliance during authentic English speaking. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 13(2), 7982-8010.

Braun, Virginia, and Victoria Clarke. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology 3.2, 77-101.

Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (3rd ed.). Sage Publications.

Fachrunnisa, N., & Nuraeni, N. (2022). Speaking interaction problems among Indonesian EFL students. Eternal (English, Teaching, Learning & Research Journal), 8(1). https://doi.org/10.24252/Eternal.V8I1.2022.7

Franscy, F, and Ramli Ramli. (2002). Problems encountered by Indonesian EFL learners in mastering speaking skills. Pioneer: Journal of Language and Literature 14(1), 1-14.

Izza, Awwalia Fitrotin, and Vina Darissurayya. (2026). Learning to speak English with AI-based speech recognition: An autonomous Learning for EMI students. JIIP-Jurnal Ilmiah Ilmu Pendidikan 9(1), 668-677.

MacIntyre, P. D., & Gardner, R. C. (1994). The subtle effects of language anxiety on cognitive processing in the second language. Language Learning, 44(2), 283–305.

Melansari, D., Fransisca, D., & Wahyuni, S. (2025). Indonesian student's difficulties in speaking English. JEIT (Journal of Educational Innovations and Technologies), 1(2), 150-167.

Rahmadani, S., & Etfita, F. (2022). Foreign Language Speaking Anxiety : A Study of English Language Learning. 5, 262–272.

Riendrasiwi, Noviyanti. (2025). Eksplorasi pengalaman belajar mahasiswa keperawatan: hambatan dan harapan dalam belajar bahasa Inggris sebagai bahasa asing.

Schutz, A. (1967). The phenomenology of the social world (G. Walsh & F. Lehnert, Trans.)

Talukdar, Shahidur Rashid, et al. (2025). Impact of technology on the future of course development, design, and delivery: Leveraging generative artificial intelligence for greater accessibility and inclusion.


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Copyright (c) 2026 English Language and Literature International Conference (ELLiC) Proceedings

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Electronic ISSN: 2579-7263
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