Utilizing Generative AI to Enhance EFL Learners’ Learning Motivation: A Case Study
Abstract
Artificial intelligence (AI) has become a topic that increasingly received close review in recent years, and its impact is becoming more obvious in a variety of disciplines, including education. This study examines the integration of generative AI in Business English Class to enhance EFL learners’ motivation. A sequential explanatory mixed-methods research design was employed, involving both quantitative and qualitative data collection methods. The quantitative data were analyzed by using descriptive statistics and paired t-test. Meanwhile, the qualitative data were analyzed by using thematic analysis. Twenty-three Indonesian students who were enrolled in Business English course were involved in gathering data that were collected through questionnaires and interviews. During the eight-week experimental periods, the students engaged with the generative AI frequently. The findings of descriptive statistical tests revealed that there was a change in student motivation before and after being taught with AI. This difference indicates an increase in student interest after being taught with AI. Furthermore, the paired t-test findings suggested that the increase was classified as significant. From the interviews, it was found that EFL learners experienced a significant increase in their learning motivation derived from the autonomous and controlled motivation, particularly the contingent self-esteem. The generative AI can also be a valuable tool for enhancing EFL learners’ learning motivation by providing personalized feedback, fostering a sense of autonomy, creating a more interactive and engaging learning environment and resolving psychological barriers. Further research should explore how this technology can be scaled to broader educational settings and examine its long-term impact on learner’s motivation and language acquisition. Hence, it helps educators develop best practices for integrating AI tools effectively into the curriculum.
References
Akhmad, N. W. & Munawir A. (2022). Improving the Students’ Pronunciation Ability by Using Elsa Speak App. Journal of Language Teaching and Learning, Linguistics and Literature. 10(1)
Al-Seghayer, K. (2021). Characteristics of Saudi EFL Learners’ Learning Styles . Canadian Center of Science and Education. 14(7). https://doi.org/10.5539/elt.v14n7p82
Alizadeh, M. (2016). The Impact of Motivation on English Language Learning. International Journal of Research in English Education. 1(1).
Beryl, E. (2005) Learner Characteristics of ‘Asian’ EFL Students: Exceptions to the ‘Norm’. In Young, Janelle, Eds. Proceedings Pleasure Passion Provocation. Joint National Conference AATE & ALEA 2005, pages 1-16, Gold Coast, Australia.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), p.77-101.
Cahyono, D. D., Hamda, M. K., & Prahastiwi, E. D. (2022). Pemikiran Abrahma Maslow Tentang Motivasi Dalam Belajar. Tajdid: Jurnal Pemikiran Keislaman Dan Kemanusiaan. 6(1): 37–48.
Chan, C.K.Y., Lee, K.K.W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers?. Smart Learn. Environ. 10, 60. https://doi.org/10.1186/s40561-023-00269-3
Chiu, T. K. F., Moorhouse, B., Chai, C., & Ismailov, M. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments. DOI - 10.1080/10494820.2023.2172044
Creswell , J. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4thed.). Upper Saddle River, NJ: Pearson Education.
Creswell, J.W., & Creswell, J.D. (2018). Mixed methods procedures. In, Research design: Qualitative, quantitative, and mixed methods approaches (5th ed., pp. 213-246). Los Angeles, CA: SAGE Publications, Inc.
Decy, E. L. & Ryan, R. M. (2008). Self-Determination Theory: A Macrotheory of Human Motivation, Development, and Health. Canadian Psychological Association. DOI: 10.1037/a0012801
Feuerriegel, S., Hartmann, J., Janiesch, C. & Zschech, P. (2023). Generative AI. Bus Inf Syst Eng. https://doi.org/10.1007/s12599-023-00834-7
Filgona, J., Sakiyo, J., Gwany, D. M., Okoronka, A. U. (2020). Motivation in Learning. Asian Journal of Education and Social Studies. 10(4). 16-37. DOI: 10.9734/ajess/2020/v10i430273
Huang, A. Y. Q., Lu, O. H. T., Yang, S. J. H. (2023). Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom, Computers & Education, Volume 194, 104684, ISSN 0360-1315, https://doi.org/10.1016/j.compedu.2022.104684.
Jaya, H., Sabran, I. M. M., Djawat, Y. A., Ilham, Ahmar, A. S. (2018). Kecerdasan Buatan. Fakultas MIPA Universitas Negeri Makassar: ISBN 978-602-99837-9-1
Karim, S. A., Hamzah, A.Q. S., Anjani, N. M., Prianti, J. & Sihole, I. G. (2023). Promoting EFL Students’ Speaking Performance Through Elsa Speak: An Artificial Intelligence In English Language Learning. JOLLT Journal of Languages and Language Teaching; 11(4):655-668. DOI: https://doi.org/10.33394/jollt.v%vi%i.8958.
Kelly, S. (2010) Qualitative interviewing techniques and styles. In: Bourgeault I, Dingwall R, de Vries R. (eds) The Sage Handbook of Qualitative Methods in Health Research, Thousand Oaks: Sage Publications.
Kinicki, A., Soignet, D.B. (2022). Management: A Practical Introduction, 10th ed.; McGraw Hill: New York, NY, USA.
Labadze, L., Grigolia, M. & Machaidze, L. (2023). Role of AI chatbots in education: systematic literature review. Int J Educ Technol High Educ 20, 56 https://doi.org/10.1186/s41239-023-00426-1
Lăpădat, L., & Lapadat, M. M. (2024). The Importance of Motivation in Foreign Language Learning. Scientific Bulletin of the Politehnica University of Timişoara Transactions on Modern Languages. DOI - 10.59168/VGLE2734
Marfuatun, M. (2020). Urgensi Teori Hierarki Kebutuhan Maslow Dalam Mengatasi Prokrastinasi Akademik Di Kalangan Mahasiswa. Jurnal Ilmu Kependidikan. 15(2). DOI: 10.29408/edc.v15i2.2714
Moybeka, A., Syariatin, N., Tatipang, D., Mushthoza, D. A., Dewi, N. P. J. L., & Tineh, S. (2023). Artificial Intelligence and English Classroom: The Implications of AI Toward EFL Students’ Motivation. Edumaspul: Jurnal Pendidikan, 7(2), 2444-2454. https://doi.org/10.33487/edumaspul.v7i2.6669
Neji, W., Boughattas, N., & Ziadi, F. (2023). Exploring New AI-Based Technologies to Enhance Students’ Motivation. Issues in Informing Science and Information Technology DOI 10.28945/5149
Neo, M., Lee, C.P., Ju-Tan, H. Y., Neo, T. K., tan, Y. X., Mahendru, N., Ismat, Z. (2022). Enhancing Students’ Online Learning Experiences with Artificial Intelligence (AI): The MERLIN Project. International Journal of Technology. doi: 10.14716/ijtech.v13i5.5843
Puspitarini, Y.D. & Hanif, M. (2019). Using Learning Media to Increase Learning Motivation in Elementary School. Anatolian Journal of Education. ERIC Number: EJ1244451. ISSN: EISSN-2547-9652
Rao, P. S. (2019). The Importance of Speaking Skills In English Classrooms. Alford Council of International English & Literature Journal(ACIELJ). 2(2).
Saleh, Z. (2019). Artificial Intelligence Definition, Ethics and Standards. The british University in Egypt.
Salido, V. (2023). Impact of AI-Powered Learning Tools on Student Understanding and Academic Performance. DOI:10.13140/RG.2.2.17259.31521
Sidik, Z. & Sobandi, A. (2018). Upaya Meningkatkan Motivasi Belajar Siswa Melalui Kemampuan Komunikasi Interpersonal Guru. Jurnal Pendidikan Manajemen Perkantoran. 3(2): 193. https://doi.org/10.17509/jpm.v3i2.11764
Silitonga, L.M. Hawanti, S., Wu, T. (2023). The Impact of AI Chatbot-Based Learning on Students’ Motivation in English Writing Classroom. Springer, Cham. https://doi.org/10.1007/978-3-031-40113-8_53
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung :Alfabeta, CV.
Susanti, D., Sari, L. Y. ., & Fitriani, V. (2022). Increasing Student Learning Motivation through the Use of Interactive Digital Books Based on Project Based Learning (PjBL). Jurnal Penelitian Pendidikan IPA, 8(4), 1730–1735. https://doi.org/10.29303/jppipa.v8i4.1669
Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K. & Kundi, G.S. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people, Technology in Society, Volume 65, 101565, ISSN 0160-791X, https://doi.org/10.1016/j.techsoc.2021.101565.
Wardani, A. D., Gunawan, I., Kusumaningrum, D.E., Benty, D. D. N., Sumarsono, R. B., Nurabadi, A. & Lestari Handayani. (2020). Student Learning Motivation: A Conceptual Paper. Proceedings of the 2nd Early Childhood and Primary Childhood Education. doi.org/10.2991/assehr.k.201112.049
Yalçın-İncik, E., & İncik, T. (2022). Generation Z students’ views on technology in education: What they want what they get. Malaysian Online Journal of Educational Technology, 10(2), 109-124. http://dx.doi.org/10.52380/mojet.2022.10.2.275
Yuliana, A. (2018). Teori Abraham Maslow dalam Pengambilan Kebijakan di Perpustakaan. 6(2)
Zhang, H., Dai, Y. & Wang, Y. (2020). Motivation and Second Foreign Language Proficiency: The Mediating Role of Foreign Language Enjoyment. Sustainability 12, no. 4: 1302. https://doi.org/10.3390/su12041302
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