AI in Language Learning Process:  Personalized Pathways for EFL Learners in the Age of AI in Indonesia

Nila Kencana

Authors

Nila Kencana Universitas Prof Dr Hazairin SH,Indonesia

Keywords:

AI, language learning, EFL learners, learning pathways, Indonesian EFL Learners

Abstract

This study explores the integration of Artificial Intelligence (AI) in English as a Foreign Language (EFL) learning, focusing on its potential to create personalized learning pathways for university students in Indonesia. With rapid advancements in AI technology, educational settings increasingly utilize AI-driven tools to enhance language acquisition, yet few studies have examined their effectiveness in Indonesia’s unique cultural context. Using a descriptive qualitative, this research gathered qualitative data from a questionnaire distributed to 200 university students. Findings reveal a generally positive perception of AI’s potential in personalizing EFL learning, with students highlighting AI’s adaptability, real-time feedback, and autonomy support as primary benefits. However, challenges remain, particularly regarding AI’s cultural sensitivity, accuracy in language output, and students' concerns about data privacy. Students emphasized the need for a hybrid model combining AI with human instruction to achieve balanced, culturally relevant learning outcomes. This study concludes that while AI holds promise for personalized EFL education, future implementations should consider the nuanced cultural and linguistic needs of Indonesian learners. The findings provide valuable insights for educators, AI developers, and policymakers seeking to enhance language learning in diverse, multilingual contexts.

References

Bernard, R. M., Borokhovski, E., Schmid, R. F., Waddington, D. I., & Pickup, D. I. (2019). Twenty-first century adaptive teaching and individualized learning operationalized as specific blends of student-centered instructional events: A systematic review and meta-analysis. Campbell Systematic Reviews, 15(1–2). https://doi.org/10.1002/cl2.1017

Bhatia, A., Bhatia, P., & Sood, D. (2024). Leveraging AI to Transform Online Higher Education?: Focusing on Personalized Learning , Assessment , and Student Engagement. 0913(September), 1–6. https://doi.org/10.35940/ijmh.A1753.11010924

Chandra, K. R., Muthumanikandan, M., Kathyayini, S., Akhila, H. G., Pathak, P., & Shivaprakash, S. (2024). The Impact of Artificial Intelligence Tools and Techniques for Effective English Language Education. Nanotechnology Perceptions, 20(S7), 897–903. https://doi.org/10.62441/nano-ntp.v20iS7.74

Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences, 13(12). https://doi.org/10.3390/educsci13121216

Gomathi, R., Maheswaran, S., Mythili, M., Nandita, S., Sathesh, S., Murugesan, G., & Duraisamy, P. (2023). The Exploitation of Artificial Intelligence in Developing English Language Learner’s Communication Skills. 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023, 06(01), 750–757. https://doi.org/10.1109/ICCCNT56998.2023.10307203

Han, J., Yoo, H., Kim, Y., Myung, J., Kim, M., Lim, H., Kim, J., Lee, T. Y., Hong, H., Ahn, S. Y., & Oh, A. (2023). RECIPE: How to Integrate ChatGPT into EFL Writing Education. In L@S 2023 - Proceedings of the 10th ACM Conference on Learning @ Scale (Vol. 1, Issue 1). Association for Computing Machinery. https://doi.org/10.1145/3573051.3596200

Hastomo, T., Mandasari, B., & Widiati, U. (2024). Scrutinizing Indonesian pre-service teachers’ technological knowledge in utilizing AI-powered tools. Journal of Education and Learning, 18(4), 1572–1581. https://doi.org/10.11591/edulearn.v18i4.21644

Jafarnia, A., Hariri, H., & Parvizi, G.-R. (2023). V ol u me 3 ?I ssue 2 ?2023 Unlocking the Potential: Exploring the Multifaceted Impact of Artificial Intelligence Integration in Language Learning. LET Journal 2023, 3(2), 173–185. http://langedutech.com

Jia, F., Sun, D., Ma, Q., & Looi, C. K. (2022). Developing an AI-Based Learning System for L2 Learners’ Authentic and Ubiquitous Learning in English Language. Sustainability (Switzerland), 14(23). https://doi.org/10.3390/su142315527

Jiang, R. (2022). How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context. Frontiers in Psychology, 13(Ml). https://doi.org/10.3389/fpsyg.2022.1049401

Lin, M. P. C., Liu, A. L., Poitras, E., Chang, M., & Chang, D. H. (2024). An Exploratory Study on the Efficacy and Inclusivity of AI Technologies in Diverse Learning Environments. Sustainability (Switzerland), 16(20). https://doi.org/10.3390/su16208992

Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947. https://doi.org/10.1287/mksc.2019.1192

M. Jeno, L. (2015). Encouraging Active Learning in Higher Education A Self-Determination Theory Perspective. International Journal of Technology and Inclusive Education, Special Issue 2(1), 694–699. https://doi.org/10.20533/ijtie.2047.0533.2015.0091

McEown, M. S., & Oga-Baldwin, W. L. Q. (2019). Self-determination for all language learners: New applications for formal language education. System, 86. https://doi.org/10.1016/j.system.2019.102124

Mejeh, M., & Rehm, M. (2024). Taking adaptive learning in educational settings to the next level: leveraging natural language processing for improved personalization. Educational Technology Research and Development, 72(3), 1597–1621. https://doi.org/10.1007/s11423-024-10345-1

Nguyen, D., Ng, D., Luo, W., & Mansor, S. (2022). Exploring the relationships between instructional leadership and teacher competences: Singapore primary school teachers’ perceptions. International Journal of Leadership in Education, 25(6), 919–940. https://doi.org/10.1080/13603124.2020.1731765

Pristian, D., & Hambali, M. (2019). Strategi Guru Madrasah Meningkatkan Mutu Pembelajaran Era Disrupsi Di Kediri. J-PAI: Jurnal Pendidikan Agama Islam, 5(2), 113–124. https://doi.org/10.18860/jpai.v5i2.7172

Qiao, H., & Zhao, A. (2023). Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context. Frontiers in Psychology, 14(November). https://doi.org/10.3389/fpsyg.2023.1255594

Samuel, Y., Brennan-Tonetta, M., Samuel, J., Kashyap, R., Kumar, V., Krishna Kaashyap, S., Chidipothu, N., Anand, I., & Jain, P. (2023). Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI. Frontiers in Artificial Intelligence, 6(November). https://doi.org/10.3389/frai.2023.1198180

Shaik, T., Tao, X., Li, Y., Dann, C., McDonald, J., Redmond, P., & Galligan, L. (2022). A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. IEEE Access, 10, 56720–56739. https://doi.org/10.1109/ACCESS.2022.3177752

Silalahi, R. M. (2019). Understanding Vygotsky’S Zone of Proximal Development for Learning. Polyglot: Jurnal Ilmiah, 15(2), 169. https://doi.org/10.19166/pji.v15i2.1544

Slamet, J. (2024). Potential of ChatGPT as a digital language learning assistant: EFL teachers’ and students’ perceptions. Discover Artificial Intelligence, 4(1). https://doi.org/10.1007/s44163-024-00143-2

Soderstrom, N. C., & Bjork, R. A. (2015). Learning Versus Performance: An Integrative Review. Perspectives on Psychological Science, 10(2), 176–199. https://doi.org/10.1177/1745691615569000

Sumakul, D. T. Y. G., & Hamied, F. A. (2023). Amotivation in AI injected EFL classrooms: Implications for teachers. Indonesian Journal of Applied Linguistics, 13(1), 26–34. https://doi.org/10.17509/IJAL.V13I1.58254

Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Language Education and Acquisition Research Network Artificial Intelligence in EFL Classrooms: Friend or Foe? LEARN Journal , 15(1), 233–256. https://so04.tci-thaijo.org/index.php/LEARN/index

Sun, H., & Chen, A. (2010). A pedagogical understanding of the self-determination theory in physical education. Quest, 62(4), 364–384. https://doi.org/10.1080/00336297.2010.10483655

Talukder, M. R. (2023). Smart Transformation of EFL Teaching and Learning Approaches. Annals of Emerging Technologies in Computing, 7(3), 21–59. https://doi.org/10.33166/AETiC.2023.03.002

Williyan, A., Fitriati, S. W., Pratama, H., & Sakhiyya, Z. (2024). AI as CO-CREATOR: EXPLORING INDONESIAN EFL TEACHERS’ COLLABORATION With AI in CONTENT DEVELOPMENT. Teaching English with Technology, 24(2), 5–21. https://doi.org/10.56297/vaca6841/LRDX3699/RZOH5366

Xia, Y., Shin, S. Y., & Kim, J. C. (2024). Cross-Cultural Intelligent Language Learning System (CILS): Leveraging AI to Facilitate Language Learning Strategies in Cross-Cultural Communication. Applied Sciences (Switzerland), 14(13). https://doi.org/10.3390/app14135651

Zaki, M. Z., & Ahmed, U. (2024). Bridging Linguistic Divides: The Impact of AI-powered Translation Systems on Communication Equity and Inclusion. Journal of Translation and Language Studies, 5(2), 20–30. https://doi.org/10.48185/jtls.v5i2.1065

AI in Language Learning Process: Personalized Pathways for EFL Learners in the Age of AI in Indonesia

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