Abstract
This study aims to investigate the factors affecting EFL learners' L2 motivation when learning with artificial intelligence (AI) and how those factors could affect L2 motivation. Equipped with Self Determination Theory (SDT), this study looked at two EFL classrooms in a university in Indonesia where AI apps were utilized. Two teachers and 21 learners participated, and the data were collected qualitatively using app evaluation, interviews, and FGDs. This study found that localization, valuableness, and engagingness were three factors of AI-injected language learning that greatly influenced the learners' L2 motivation. This study also found that localization could be approached using pedagogical views, while valuableness and engagingness could be viewed from psychological perspectives. This study offers a new construct in L2 motivation studies called the L-VE framework. The results of this study could contribute new insights into the discussion of L2 motivation and technology, particularly in the field of Computer-Assisted Language Learning (CALL).References
Adolphs, S., Clark, L., Dörnyei, Z., Glover, T., Henry, A., Muir, C., Sánchez-Lozano, E., & Valstar, M. (2018). Digital innovations in L2 motivation: Harnessing the power of the Ideal L2 Self. System, 78, 173-185. https://doi.org/10.1016/j.system.2018.07.014
Aldosari, M. (2024). Another World with Artificial Intelligence in Speaking Classes: To Delve into the Influences on Willingness to Communicate, Personal Best Goals, and Academic Enjoyment. Computer-Assisted Language Learning Electronic Journal, 25(4), 439-463.
Alsager, H. (2024). To Look from Another Window in Education: Artificial Intelligence Assisted Language Learning and Its Reflections on Academic Demotivation, Foreign Language Learning Anxiety and Autonomy. Computer-Assisted Language Learning Electronic Journal, 25(4), 124-147.
Al Mahmud, F. (2023). Investigating EFL students' writing skills through artificial intelligence: Wordtune application as a tool. Journal of Language Teaching and Research, 14(5), 1395-1404.
Al-Hoorie, A. H. (2017). Sixty years of language motivation research: Looking back and looking forward. SAGE Open, 7(1), 1-11. https://doi.org/10.1177/2158244017701976
An, X., Chai, C. S., Li, Y., Zhou, Y., & Yang, B. (2023). Modeling students' perceptions of artificial intelligence assisted language learning. Computer Assisted Language Learning, 1-22.
Bailin, A. (1987). Artificial intelligence and computer-assisted language instruction: A perspective. CALICO Journal, 5(3), 25–45. https://doi.org/10.1558/cj.v5i3.25-45
Bax, S. (2003). CALL—past, present and future. System 31(1): 13-28.
Borkovska, I., Kolosova, H., Kozubska, I., & Antonenko, I. (2024). Integration of AI into the Distance Learning Environment: Enhancing Soft Skills. Arab World English Journal (AWEJ) Special Issue on ChatGPT.
Brown, H. D. (1994). Teaching by principles. Prentice Hall.
Chapelle, C. (2001). Computer applications in second language acquisition: Foundations for teaching, testing and research. Cambridge University Press.
Cooper, J. M. (1984). Plato's theory of human motivation. History of philosophy quarterly, 1(1), 3-21.
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed method approaches. Sage.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed method research. 2nd ed. Sage.
Davies G., Walker R., Rendall H. & Hewer S. (2011): Introduction to new technologies and how they can contribute to language learning and teaching (CALL). Module 1.1 in Davies G. (ed.) Information and Communications Technology for Language Teachers (ICT4LT), Slough, Thames Valley University [Online]: http://www.ict4lt.org/en/en_mod1-1.htm
Davies, G. and Higgins, J. (1982). Computers, language and language learning. CILT Publications.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer.
Dehghanzadeh, H., Fardanesh, H., Hatami, J., Talaee, E., & Noroozi, O. (2021). Using gamification to support learning English as a second language: a systematic review. Computer Assisted Language Learning, 34(7), 934-957. https://doi.org/10.1080/09588221.2019.1648298
Dörnyei, Z. (1998). Motivation in second and foreign language learning. Language Teaching, 13, 117-135.
Dörnyei, Z. (2005). The psychology of the language learner: Individual differences in second language acquisition. Lawrence Erlbaum.
Egbert, J. (2003). A study of flow theory in the foreign language classroom. Modern Language Journal, 87(4), 499–518.
El Shazly, R. (2021). Effects of artificial intelligence on English speaking anxiety and speaking performance: A case study. Expert Systems, 38(3), e12667. https://doi.org/10.1111/exsy.12667
Fitria, R. L. N. (2024). The effectiveness of ai assisted reading text for reading aloud technique for students' reading skills. Jurnal Penelitian, Pendidikan, dan Pembelajaran, 19(23).
Gallacher, A., Thompson, A., & Howarth, M. (2018). "My robot is an idiot!"–Students’ perceptions of AI in the L2 classroom. Proceedings of EUROCALL 2018: Future-proof CALL: language learning as exploration and encounters (pp. 70-76). EUROCALL.
Gardner, R. C. (1985). The attitude motivation test battery: Technical report. University of Western Ontario, Department of Psychology.
Gardner, R. C. (2010). Motivation and second language acquisition: The socio-educational model. Peter Lang.
Gardner, R. C. (2019). The socio-educational model of second language acquisition. In M. Lamb, K. Csizér, A. Henry, & S. Ryan (Eds.), The Palgrave handbook of motivation for language learning (pp. 21-37). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-28380-3_2
Ghoneim, N. M. M., & Elghotmy, H. E. A. (2021). Using an artificial intelligence based program to enhance primary stage pupils' EFL listening skills." المجلة التربوية لکلية التربية بسوهاج 83, 1-32.
Ha, M. J. (2024). Exploring metaverse-blended learning in an English presentation class: Student perceptions. Computer-Assisted Language Learning Electronic Journal, 25(2), 130-151.
Healey, D. (2016). Language learning and technology: past, present and future. In F. Farr, & L. Murray (Eds.), The Routledge handbook of language learning and technology (pp. 9-23). Routledge.
Henry A., Lamb M. (2019). L2 motivation and digital technologies. In Lamb M., Csizér K., Henry A., Ryan S. (Eds.), The Palgrave handbook of motivation for language learning. Palgrave Macmillan (pp. 599-619). https://doi.org/10.1007/978-3-030-28380-3_29
Henry, A. (2019). Online media creation and L2 motivation: A socially situated perspective. Tesol quarterly, 53(2), 372-404. https://doi.org/10.1002/tesq.485
Ho, P. X. P. (2024). Using ChatGPT in English language learning: A study on I.T. students’ attitudes, habits, and perceptions. International Journal of TESOL & Education, 4(1), 55-68.DOI: https://doi.org/10.54855/ijte.24414
Holland, V. M., Maisano, R., Alderks, C., & Martin, J. (1993). Parsers in tutors: What are they good for? CALICO Journal, 11(1), 28–46. https://doi.org/10.1558/cj.v11i1.28-46
Kannan, J., & Munday, P. (2018). New trends in second language learning and teaching through the lens of ICT, networked learning, and artificial intelligence. Circulo de Linguistica Aplicada a La Comunicacion, 76, 13–30. https://doi.org/10.5209/CLAC.62495
Kaufmann, K., & Peil, C. (2020). The mobile instant messaging interview (MIMI): Using WhatsApp to enhance self-reporting and explore media usage in situ. Mobile Media and Communication, 8(2), 229–246. https://doi.org/10.1177/2050157919852392
Kelly, J. M. (2012). Digital Humanities from Web 1.0 to 3.0. http://www.jasonmkelly.com/2012/08/15/digital-humanities-from-web-1-0-to-3-0/
Lamb, M., & Arisandy, F. E. (2020). The impact of online use of English on motivation to learn. Computer Assisted Language Learning, 33(1-2), 85-108.
Last, R. (1989). Artificial Intelligence Techniques in Language Learning. Ellis Horwood.
Lestari, S., Usadiati, W., & Misrita, M. (2021). The correlation between students’ artificial intelligence and their English reading skills achievement. Bahasa: Jurnal Keilmuan Pendidikan Bahasa Dan Sastra Indonesia, 3(2), 103-111.
Lu, X. (2018). Natural language processing and Intelligent ComputerAssisted Language Learning (ICALL). The TESOL encyclopedia of English language teaching, 1–6. https://doi.org/10.1002/9781118784235.eelt0422
Madhavi, E., Sivapurapu, L., Koppula, V., Rani, P. E., & Sreehari, V. (2023). Developing learners’ English-speaking skills using ICT and AI tools. Journal of Advanced Research in Applied Sciences and Engineering Technology, 32(2), 142-153.
Maguire, M. & Delahunt, B. (2017). Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars. All Ireland Journal of Higher Education, 9(3), 3351-33513. https://doi.org/10.62707/aishej.v9i3.335
Maleki, N., Padmanabhan, B., & Dutta, K. (2024, June). AI hallucinations: a misnomer worth clarifying. In 2024 IEEE conference on artificial intelligence (CAI) (pp. 133-138). IEEE. doi: 10.1109/CAI59869.2024.00033
Montebello, M. (2018). AI injected e-learning. Springer.
Nilsson, N. J. (2010). The Quest for Artificial Intelligence: A History of Ideas and Achievements. Cambridge University Press.
Noels, K., Lascano, D., & Saumure, K. (2019). The development of self-determination across the language course: Trajectories of motivational change and the dynamic interplay of psychological needs, orientations, and engagement. Studies in Second Language Acquisition, 41(4), 821–851. https://doi.org/10.1017/S0272263118000189
O’Brien, P. (1993). eL: AI in CALL. In M. Yazdani (Ed.), Multilingual multimedia. Bridging the language barrier with intelligent systems (pp. 85–139). Intellect.
Pace-Sigge, M. & Sumakul, D. T. (2022). What teaching an algorithm teaches when teaching students how to write academic texts. In J. H. Jantunen, J. Kalja-Voima, M. Laukkarinen, A. Puupponen, M. Salonen, T. Saresma, J. Tarvainen, & S. Ylönen, (Eds.), Diversity of methods and materials in digital human sciences. Proceedings of the Digital Research Data and Human Sciences 2022 (pp. 230-243). University of Jyväskylä. http://urn.fi/URN:ISBN:978-951-39-9450-1
Pham, M. T., & Cao, T. X. T. (2025). The practice of ChatGPT in English teaching and learning in Vietnam: A Systematic Review. International Journal of TESOL & Education, 5(1), 50-70. DOI: https://doi.org/10.54855/ijte.25513
Raby, F. (2007). A triangular approach to motivation in Computer Assisted Autonomous Language Learning (CAALL). Recall, 19(2), 181-201. https://doi.org/10.1017/S0958344007000626
Reshotko, N. (1992). The Socratic theory of motivation. Apeiron, 25(3), 145-170.
Rieland, R. (2017). Is artificial intelligence the key to personalized education? Smithsonian Magazine. https://www.smithsonianmag.com/innovation/artificial-intelligence-key-personalized-education-180963172/
Russel, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach (3rd ed.). Essex: Pearson.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54-67.
Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford.
Salaberry, M. R. (1996). A theoretical foundation for the development of pedagogical tasks in computer mediated communication. CALICO Journal, 14(1), 5–34. https://doi.org/10.1558/cj.v14i1.5-34
Selvi, K. (2010). Motivating factors in online courses. Procedia - Social and Behavioral Sciences, 2(2), 819-824.
Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14, 1260843.
Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., LeytonBrown, K., Parkes, D., Press, W., Saxenian, A., Shah, J., Tambe, M., & Teller, A. (2016). “Artificial intelligence and life in 2030.” One hundred year study on artificial intelligence: Report of the 2015- 2016 study panel. https://ai100.stanford.edu/2016-report
Sumakul, D. T. (2019). When robots enter the classrooms: Implications for teachers. The International Conference on Embedding Artificial Intelligence (AI) in Education Policy and Practice for Southeast Asia (pp. 42–48). SEAMEO SEAMOLEC.
Sumakul, D. T. (2021). Teaching critical thinking skills using reflective memes. In Y. C. Mali (Ed.), Simple technology for language classrooms (pp. 89-96). Satya Wacana University Press.
Sumakul, D. T., Hamied, F. A., & Sukyadi, D. (2022). Artificial intelligence in EFL classrooms: Friend or foe? LEARN Journal: Language Education and Acquisition Research Network, 15(1), 232-256.Sumakul, D. T., & 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
Suminar, S., Widiyanto, A., & Utami, S. P. T. (2025, February). Comprehensive bibliometric review of ai disadvantages in writing class: How does it impact Plagiarism?. In International Joint Conference on Arts and Humanities 2024 (IJCAH 2024) (pp. 2396-2405). Atlantis Press. https://doi.org/10.2991/978-2-38476-317-7_211
Suryana, I., Asrianto, A., & Murwantono, D. (2020). Artificial intelligence to master English listening skills for non-English major students. Journal of Languages and Language Teaching, 8(1), 48-59.
Tlili, A., & Burgos, D. (2025). Ai hallucinations? What about human hallucination?!: Addressing human imperfection is needed for an ethical AI. Journal of Interactive Multimedia and Artificial Intelligence, 9(2), 68-71. http://dx.doi.org/10.9781/ijimai.2025.02.010
Warschauer, M. (1996). Motivational aspects of using computers for writing and communication. In M. Warshauer (Ed.), Telecollaboration in foreign language learning: Proceedings of the Hawai’i symposium (pp. 29-46). Second Language Teaching & Curriculum Center, University of Hawai’i at Mánoa.
Warschauer, M. (2000). The death of cyberspace and the rebirth of CALL. English Teachers’ Journal 53, 61–67.
Warschauer, M., & Healey, D. (1998). Computers and language learning: an overview. Language Teaching, 31(02), 57. https://doi.org/10.1017/s0261444800012970
Wei, L. (2023). Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955.
Wilson, J., Ahrendt, C., Fudge, E. A., Raiche, A., Beard, G., & MacArthur, C. (2021). Elementary teachers’ perceptions of automated feedback and automated scoring: Transforming the teaching and learning of writing using automated writing evaluation. Computers & Education, 168, 104208. https://doi.org/10.1016/j.compedu.2021.104208
Wu, X. (2003). Intrinsic motivation and young language learners: The impact of the classroom environment. System, 31, 501-517.
Zawacki-Richter, O., Marín, V., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—where are the educators? International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-019-0171-0

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