Digital Inequality in GenAI tools utilised in EFL Learning contexts: Insights from Indonesian University Students

Authors

  • Purnama Cahya Department of English Language and Literature, Faculty of Adab and Humanities, Universitas Islam Negeri Alauddin Makassar, Indonesia
  • Murdia English Department, Faculty of Languages and Literature, Universitas Negeri Makassar, Indonesia

DOI:

https://doi.org/10.24256/ideas.v14i1.11903

Keywords:

Digital Inequality; EFL Learning; Free Access; GenAI; Premium Access

Abstract

This study examines potential digital divides resulting from disparities between free and premium access to GenAI platforms among EFL students. Using a mixed-methods approach, data were collected through questionnaires consisting of Likert-scale and open-ended questions completed by 126 participants. Quantitative data were analysed using descriptive statistics and independent-samples t-tests, while qualitative responses were analysed thematically. Independent-samples t-tests found no statistically significant differences between the two access groups on any of the five variables (all p>.05), though small-to-moderate effect sizes emerged for AI usage (d = 0.42) and access perception (d = -0.45), suggesting students with both free and premium access tend to use GenAI tools somewhat more frequently, while free-only users tend to be more sensitive to access limitations. Effect sizes for perceived learning impact, fairness, and awareness of global inequality were negligible. Qualitative findings further indicate that effective GenAI use depends on prompting skills, critical thinking, and institutional guidance on ethical AI use and AI literacy training.

References

Agustini, N. P. O. (2023). Examining the Role of ChatGPT as a Learning tool in Promoting Students’ English Language Learning Autonomy relevant to Kurikulum Merdeka Belajar. EDUKASIA: Jurnal Pendidikan Dan Pembelajaran, 4(2), 921–934. https://doi.org/10.62775/edukasia.v4i2.373

Ali, H. F., & Mohammed, Z. A. (2024). Reviewing the Impact of Generative AI on ‎Language Learning and Teaching: A Synthesis of Potentials and Pitfalls. International Journal of Social Sciences & Educational Studies, 11(4). https://doi.org/10.23918/ijsses.v11i4p53

Ali, M. N. M., Zainodin, W. H. W., & Mahamad, T. E. T. (2024). The challenges of digital inequalities in online and remote learning on B40 students during the COVID-19 pandemic and beyond. Journal of Media and Information Warfare, 17(1), 1–17.

Alzubi, A. A. F., Nazim, M., & Alyami, N. (2025). Do AI-generative tools kill or nurture creativity in EFL teaching and learning? Education and Information Technologies, 30(11), 15147–15184. https://doi.org/10.1007/s10639-025-13409-8

Andreou, G., & Christani, P. (2025). The Benefits and Limitations of the Use of Generative Artificial Intelligence Tools in the Acquisition of Productive Skills in English as a Foreign Language—A Systematic Analysis. Applied Sciences, 15(21), 11476. https://doi.org/10.3390/app152111476

Baskara, Fx. R. (2025). ChatGPT and Google Gemini in EFL Education: A Qualitative Exploration of Pedagogical Efficacy among Indonesian Sophomores. Journal of Languages and Language Teaching, 13(1), 436. https://doi.org/10.33394/jollt.v13i1.9926

Buchholz, K. (2024, August 23). The Extreme Cost Of Training AI Models. https://www.forbes.com/sites/katharinabuchholz/2024/08/23/the-extreme-cost-of-training-ai-models/

ChatGPT. (n.d.). ChatGPT Pricing. Retrieved May 5, 2026, from https://chatgpt.com/pricing/

Chau, J. (2026). Implications of GenAI on Student Assessment: Lens from an Introductory Business School Course. In M. E. Auer & X. Yue (Eds.), Proceedings of the 2nd International Conference on Intelligent Optimization and Big Data Management (IOBDM2025) (Vol. 1686, pp. 388–401). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-10400-7_35

Chung, J., Henderson, M., Slade, C., Liang, Y., Pepperell, N., Corbin, T., Walton, J., Yu, A. S., Bearman, M., Buckingham Shum, S., Fawns, T., McCluskey, T., McLean, J., Oberg, G., Seligmann, A., Shibani, A., Bakharia, A., Lim, L.-A., & Matthews, K. E. (2026). The use and usefulness of GenAI in higher education: Student experience and perspectives. Computers and Education Open, 10, 100347. https://doi.org/10.1016/j.caeo.2026.100347

Dobinson, T., Chen, J., & Steele, C. (2024). Decolonizing or recolonizing?: AI through the eyes of applied linguists, language teachers, and language learners. Australian Review of Applied Linguistics, 47(3), 253–258. https://doi.org/10.1075/aral.24146.dob

Dou Abdelbasset, Bouadjemi Adel Chihab Eddine, & Ghobrini Rafik El Amine. (2025). Enhancing secondary EFL students’ writing proficiency using GenAI: A comprehensive approach. Research on Education and Media, 17(2), 50–60. Education Research Index; ProQuest One Academic; Publicly Available Content Database; Social Science Premium Collection (3302061431). https://doi.org/10.2478/rem-2025-0013

Dovchin, S. (2024). Artificial Intelligence in Applied Linguistics: A double-edged sword. Australian Review of Applied Linguistics, 47(3), 410–417. https://doi.org/10.1075/aral.24145.dov

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Fitria, T. N. (2023). Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. ELT Forum: Journal of English Language Teaching, 12(1), 44–58. https://doi.org/10.15294/elt.v12i1.64069

George, D., & Mallery, P. (2020). IBM SPSS statistics 26 step by step: A simple guide and reference (Sixteenth edition). ROUTLEDGE.

Introducing ChatGPT. (2022, November 30). OpenAI. https://openai.com/index/chatgpt/

Li, T., & Ding, Y. (2025). Exploring the GenAI Literacy of Chinese University Students in EFL Learning: International Journal of Computer-Assisted Language Learning and Teaching, 15(1), 1–24. https://doi.org/10.4018/IJCALLT.377175

Luo, Q., & Chen, F. (2025). Scientific Mapping of GenAI in English as a Foreign Language (EFL) Context: Trends, Gaps, and Implications. International Journal of Technology and Human Interaction, 21(1), 1–23. https://doi.org/10.4018/IJTHI.384377

Matjie, M. A., Nethavhani, A., & Matlakala, M. (2026). AI and the digital divide in education. Frontiers in Computer Science, 8, 1759027. https://doi.org/10.3389/fcomp.2026.1759027

Munawaroh, S. (2024). Exploring EFL Students’ Experiences In Using AI Tools to Support Academic Writing. https://doi.org/10.5281/ZENODO.17605850

Pack, A. (2023). Potential Affordances of Generative AI in Language Education: Demonstrations and an Evaluative Framework. Teaching English With Technology, 2023(2). https://doi.org/10.56297/BUKA4060/VRRO1747

Perkins, M., Roe, J., Vu, B. H., Postma, D., Hickerson, D., McGaughran, J., & Khuat, H. Q. (2024). Simple techniques to bypass GenAI text detectors: Implications for inclusive education. International Journal of Educational Technology in Higher Education, 21(1), 53. https://doi.org/10.1186/s41239-024-00487-w

Quicksand Design Studio Pvt. Ltd. (2021). Final report: Situational analysis on digital learning landscape in Indonesia. UNICEF Indonesia Country Office.

Rosyada, A., & Taopan, L. L. (2025). Using AI in English Language Learning: Perspectives of Indonesian EFL Learners. Salus Cultura: Jurnal Pembangunan Manusia Dan Kebudayaan, 5(1), 46–53. https://doi.org/10.55480/saluscultura.v5i1.384

Stewart, N., & Zheng, Y. (Danson). (2024). Generative AI’s recolonization of EFL classrooms: The case of continuation writing. Australian Review of Applied Linguistics, 47(3), 383–409. https://doi.org/10.1075/aral.24091.ste

Tafazoli, D. (2024). Exploring the potential of generative AI in democratizing English language education. Computers and Education: Artificial Intelligence, 7, 100275. https://doi.org/10.1016/j.caeai.2024.100275

Tiandem-Adamou, Y. (2025). Using Generative Artificial Intelligence to Support EFL Students’ Writing Proficiency in University in China. Journal of Educational Technology and Innovation, 6(4). https://doi.org/10.61414/jeti.v6i4.213

Torres, P. J., & Kahveci, Y. E. (2025). Effectiveness of Artificial Intelligence (AI) in language teaching. Computers and Education: Artificial Intelligence, 9, 100522. https://doi.org/10.1016/j.caeai.2025.100522

Wang, Y., Wang, Y., Pan, Z., & Ortega-Martín, J. L. (2024). The Predicting Role of EFL Students’ Achievement Emotions and Technological Self-efficacy in Their Technology Acceptance. The Asia-Pacific Education Researcher, 33(4), 771–782. https://doi.org/10.1007/s40299-023-00750-0

Werdiningsih, I., Marzuki, Indrawati, I., Rusdin, D., Ivone, F. M., Basthomi, Y., & Zulfahreza. (2024). Revolutionizing EFL writing: Unveiling the strategic use of ChatGPT by Indonesian master’s students. Cogent Education, 11(1), 2399431. https://doi.org/10.1080/2331186X.2024.2399431

Yang, C., Li, R., & Yang, L. (2025). Revisiting Trends in GenAI-Assisted Second Language Writing: Retrospect and Prospect. Journal of Educational Computing Research, 63(7–8), 1819–1863. https://doi.org/10.1177/07356331251367309

Yin, X., Ruan, J., & Ma, W. (2025). The impact of generative AI on foreign language enjoyment: The roles of gender, English proficiency and usage duration among Chinese EFL learners. BMC Psychology, 14(1), 134. https://doi.org/10.1186/s40359-025-03870-y

Yuan, Y., Li, H., & Sawaengdist, A. (2024). The impact of ChatGPT on learners in English academic writing: Opportunities and challenges in education. Language Learning in Higher Education, 14(1), 41–56. https://doi.org/10.1515/cercles-2023-0006

Zhang, X., Rong, Z., Islam, M. M., Rahmatika, L., & Nawaz, S. S. (2026). Understanding GenAI adoption in EFL higher education: A dual-model study using SDT and TAM. Interactive Learning Environments, 1–19. https://doi.org/10.1080/10494820.2025.2612251

Zhou, G. (2025). Giving Away the Immersive L2 Learning Experiences in GENAI ‐Mediated Contexts: The Contributions of Cognitive and Affective Factors. European Journal of Education, 60(2), e70076. https://doi.org/10.1111/ejed.70076

Zou, M., Reinders, H., & Amjad, F. (2026). Understanding the potential role of GenAI-mediated informal digital learning of English (GenAI-IDLE) in the Global South: AI literacy, emotions, and willingness to communicate as outcomes. ReCALL, 38(1), 131–149. https://doi.org/10.1017/S0958344025100360

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Published

2026-06-30

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