Examining EFL Students' Perceptions and Experiences with AI-driven Metaverse Environments for Developing Communication Skills

Authors

  • Akkarapon Akkarapon

    Faculty of Humanities and Social Sciences, Buriram Rajabhat University, Buriram 31000, Thailand

  • Muthmainnah

    Faculty of Teacher Training and Education, Universitas Al Asyariah Mandar, Sulawesi Barat 91315, Indonesia

  • Ahmad Al Yakin

    Faculty of Teacher Training and Education, Universitas Al Asyariah Mandar, Sulawesi Barat 91315, Indonesia

DOI:

https://doi.org/10.30564/fls.v7i5.9453
Received: 11 April 2025 | Revised: 24 April 2025 | Accepted: 6 May 2025 | Published Online: 8 May 2025

Abstract

This study examines the development of oral communication skills in a second language (L2) context. This research employs an orally given text-based generative AI (GenAI) model as its methodology. The population in this study was 505 students at teaching and educational science faculties in universities. The demographics and sample for this study consisted of 25 undergraduate students who are majoring in Indonesian language education and 26 students who are from the Pancasila education and public health study program at Al Asyariah Mandar University, Indonesia in the 2022 academic year. They were selected via a purposive sampling method. The instruments utilized in this quantitative research are a questionnaire and observation. The research results indicated that the students' choice of interactions with virtual robots continued to improve their English communication skills, including vocabulary, intonation, gesture, and fluently dan volume. They also believe that AI can enhance their learning autonomy, critical thinking abilities, and confidence in practicing English effectively and quickly.   This research contribution provides insight into the importance of using AI-robot technology so that participants achieve learning outcomes, making learning more enjoyable, the importance of soft skills for the cognitive process of language acquisition, and collaboratively foster communicative competencies in the 21st century.

Keywords:

EFL; AI; Communication Skills; Metaverse

References

[1] Tai, T.Y., 2024. Comparing the effects of intelligent personal assistant-human and human-human interactions on EFL learners' willingness to communicate beyond the classroom. Computers and Education. 210, 104965. DOI: https://doi.org/10.1016/j.compedu.2023.104965

[2] Azizi, Z., Namaziandost, E., Ashkani, P., 2022. Active learning as an approach to fostering EFL learners' speaking skills and willingness to communicate: A mixed-methods inquiry. Issues in Language Teaching. 11(2), 93–128.

[3] Zadorozhnyy, A., Lai, W.Y.W., 2023. ChatGPT and L2 written communication: A game-changer or just another tool? Languages. 9(1), 5–17.

[4] Namaziandost, E., Saray, A.A., Esfahani, F.R., 2018. The effect of writing practice on improving speaking skill among pre-intermediate EFL learners. Theory and Practice in Language Studies. 8(1), 1690–1697.

[5] Mageira, K., Pittou, D., Papasalouros, A., et al., 2022. Educational AI chatbots for content and language integrated learning. Applied Sciences. 12(7), 32–39.

[6] Kim, N.Y., Cha, Y., Kim, H.S., 2019. Future English learning: Chatbots and artificial intelligence. Multimedia-Assisted Language Learning. 22(3), 45–58.

[7] Jeon, J., 2024. Exploring AI chatbot affordances in the EFL classroom: Young learners' experiences and perspectives. Computer Assisted Language Learning. 37(1–2), 1–26.

[8] Sandu, N., Gide, E., 2019. Adoption of AI-Chatbots to enhance student learning experience in higher education in India. Proceedings of the 18th International Conference on Information Technology Based Higher Education and Training; 26–27 September 2019; New York, USA. pp. 1–5.

[9] Hapsari, I.P., Wu, T.T., 2022. AI chatbots learning model in English speaking skill: Alleviating speaking anxiety, boosting enjoyment, and fostering critical thinking. Proceedings of the International Conference on Innovative Technologies and Learning; 29–31 August 2022; Cham, Switzerland. pp. 444–453.

[10] Ifelebuegu, A.O., Kulume, P., Cherukut, P., 2023. Chatbots and AI in education (AIEd) tools: The good, the bad, and the ugly. Journal of Applied Learning and Teaching. 6(2), 332–345.

[11] Dusza, D.G., 2023. Machine translation in the writing process: Pedagogy, plagiarism, policy, and procedures. In: Eaton, S.E. (ed.). Second Handbook of Academic Integrity. Springer: Cham, Switzerland. pp. 1487–1509. DOI: https://doi.org/10.1007/978-3-031-54144-5_152

[12] Billingsley, F., Gardner, S., 2024. Utilizing generative AI with second-language users and bilingual students. In: Yu, P., Mulli, J., Syed, Z.A.S., et al. (eds.). Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI. Pennsylvania: IGI Global. pp. 109–132.

[13] Lai, C.L., 2021. Exploring university students' preferences for AI-assisted learning environment. Educational Technology and Society. 24(4), 1–15.

[14] Khang, A., Muthmainnah, M., Seraj, P.M.I., et al., 2023. AI-Aided teaching model in education 5.0. In: Khang, A., Shah, V., Rani, S. (eds.). Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse. Pennsylvania: IGI Global. pp. 83–104.

[15] Boonchom, W., Piyanukool, S., Prachanant, N., 2024. Trends of using artificial intelligence (AI) technologies in research studies of English language teaching. BRUELT JOURNAL. 2(1), 34–50. DOI: https://doi.org/10.14456/bej.2024.3

[16] Imsa-ard, P., Tangkiengsirisin, S., 2023. Digitally-mediated Language Assessment Practice (D-LAP): Qualitative Case Studies of Four Thai EFL University Lecturers. REFLections. 30(2), 403–427.

[17] Huhn, C., Bell, T.R., Chambless, K., 2021. Issues in world language teacher preparation: ACTFL/CAEP standards and oral proficiency. Foreign Language Annals. 54(1), 255–271.

[18] Harrison, T., 2023. Virtual reality and character education: Learning opportunities and risks. Journal of Moral Education. 53(2), 219–239.

[19] Hofer, M., Hargittai, E., 2024. Online social engagement, depression, and anxiety among older adults. New Media and Society. 26(1), 113–130.

[20] Akour, M., Alenezi, M., 2022. Higher education future in the era of digital transformation. Education Sciences. 12(11), 784.

[21] Fathi, J., Rahimi, M., Derakhshan, A., 2024. Improving EFL learners' speaking skills and willingness to communicate via artificial intelligence-mediated interactions. System. 121, 103254.

[22] Zhang, C., Meng, Y., Ma, X., 2024. Artificial intelligence in EFL speaking: Impact on enjoyment, anxiety, and willingness to communicate. System. 121, 103259.

[23] Alshumaimeri, Y.A., Alshememry, A.K., 2023. The extent of AI applications in EFL learning and teaching. IEEE Transactions on Learning Technologies. 17, 653–663.

[24] Ravshanovna, K.L., 2024. Enhancing foreign language education through integration of digital technologies. Miasto Przyszłości. 44, 131–138.

[25] Shafiee Rad, H., 2024. Revolutionizing L2 speaking proficiency, willingness to communicate, and perceptions through artificial intelligence: a case of Speeko application. Innovation in Language Learning and Teaching. 18(4), 364–379. DOI: https://doi.org/10.1080/17501229.2024.2309539

[26] Zou, B., Du, Y., Wang, Z., et al., 2023. An investigation into artificial intelligence speech evaluation programs with automatic feedback for developing EFL learners' speaking skills. Sage Open. 13(3), 21582440231193818.

[27] Li., Q., Tananuraksakul, N., 2022. Mobile Learning in English Listening and Speaking Skills: Challenges and Opportunities of Non-English Major Sophomores at a Public University in China. Journal of Humanities and Social Sciences. 20(3), 23–44.

[28] Zdravkova, K., 2022. The potential of artificial intelligence for assistive technology in education. In: Ivanović, M., Klašnja-Milićević, A., Jain, L.C. (eds.). Handbook on Intelligent Techniques in the Educational Process: Vol 1 Recent Advances and Case Studies. Springer: Cham, Switzerland. pp. 61–85.

[29] Zou, B., Guan, X., Shao, Y., et al., 2023. Supporting speaking practice by social network-based interaction in artificial intelligence (AI)-assisted language learning. Sustainability. 15(4), 2872.

[30] Zheng, H., Xing, Y., 2020. An adaptive learning platform based on AI for English learning. IEEE Access. 8, 202612–202620.

[31] Zhang, M., Trilling, D., Ren, J., et al., 2020. Adaptive learning in AI-based English language learning systems: Past, present, and future. Journal of Educational Technology Development and Exchange. 13(1), 1–16.

[32] Muthmainnah, M., Apriani, E., Seraj, P.M.I., et al., 2024. Nudging motivation to learn English through a ChatGPT smartphone-based hybrid model. In: Obaid, A.J., Bhushan, B., Rajest, S.S. (eds.). Advanced Applications of Generative AI and Natural Language Processing Models. IGI Global: Pennsylvania, USA. pp. 26–42.

[33] Xu, X., Yuan, S.T., 2021. Data privacy protection and research ethics in intelligent learning systems: Current trends and future directions. Journal of Educational Technology and Society. 24(1), 17–32.

[34] Buolamwini, J., Gebru, T., 2018. Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of the 1st Conference on Fairness, Accountability and Transparency; 23–24 February 2018; New York, USA. pp. 77–91.

[35] Ibna Seraj, P.M., Oteir, I., 2022. Playing with AI to investigate human-computer interaction technology and improving critical thinking skills to pursue 21st century age. Education Research International. 2022(1), 6468995. DOI: https://doi.org/10.1155/2022/6468995

[36] Google Play Store Application, 2023. My virtual dreamfriend. Available from: https://play.google.com/store/apps/details?id=com.paphus.virtualdreamfriend&pli=1 (cited 23 May 2025).

[37] Research documentation, 2023. My virtual dream robotfriend for EFL. Available from: https://apkpure.com/my-virtual-dream (cited 23 May 2025).

[38] Research documentation, 2023. Students' oral communication skills. Available from: https://www.youtube.com/watch?v=0n2XsT8NT28 (cited 23 May 2025).

[39] Banks, J.A., 2004. Handbook of research on multicultural education, 2nd ed. Jossey-Bass: San Francisco, CA, USA.

[40] Rea, L.M., Parker, R.A., 2014. Designing and conducting survey research: A comprehensive guide. Wiley: Hoboken, NJ, USA.

[41] Gay, L.R., Mills, G.E., Airasian, P.W., 2012. Educational research: Competencies for analysis and applications. Pearson: Boston, MA, USA.

[42] Magalhães, R., Marcondes, F.S., Durães, D., et al., 2023. Emotion extraction from Likert-scale questionnaires: –An additional dimension to psychology instruments–. Proceedings of the International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2023); 20–22 November 2023; Cham, Switzerland. pp. 166–176.

[43] Verhelst, E., Janssens, R., Demeester, T., et al., 2024. Adaptive second language tutoring using generative AI and a social robot. Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction; 11–14 March 2024; Boulder, CO, USA. pp. 1080–1084.

[44] Feng, Y., 2021. A case study of applying AI educational robot to help Chinese preschoolers acquire Chinese and English bilingualism. Proceedings of the 2021 4th International Conference on Education Technology Management; 17–19 December 2021; London, UK. pp. 25–30.

[45] Huang, W., Hew, K.F., Fryer, L.K., 2022. Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning. Journal of Computer Assisted Learning. 38(1), 237–257.

[46] Çakmak, F., 2022. Chatbot-human interaction and its effects on EFL students' L2 speaking performance and anxiety. Novitas-ROYAL (Research on Youth and Language). 16(2), 113–131.

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How to Cite

Akkarapon, A., Muthmainnah, & Ahmad Al Yakin. (2025). Examining EFL Students’ Perceptions and Experiences with AI-driven Metaverse Environments for Developing Communication Skills. Forum for Linguistic Studies, 7(5), 712–726. https://doi.org/10.30564/fls.v7i5.9453

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