ISSN: 2226-6348
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The integration of Artificial Intelligence (AI) in language learning has transformed traditional teaching by enhancing motivation and language achievement among primary school students. This study examines the impact of AI-driven interactive tools, such as ChatGPT and Quizlet AI, on learners’ motivation and English proficiency. Using an experimental-control group design with 38 participants, findings reveal a significant improvement in motivation post-intervention, with 94.7% of students reporting increased enjoyment in learning English. Additionally, the experimental group demonstrated enhanced linguistic abilities, with mean scores rising from 16.4 to 18.2, supported by a paired t-test (p < 0.05). AI tools provide meaningful, context-aware, and self-paced learning, addressing challenges in conventional methods. This research contributes to existing literature advocating AI’s role in education and highlights its potential for diverse learners. While findings support AI’s benefits in motivation and proficiency, further studies are needed to assess long-term effectiveness, large-scale applicability, and integration into varied learning environments.
Allen, I. E., & Seaman, J. (2017). Digital learning compass: Distance education enrollment report 2017. Babson Survey Research Group, e-Literate, and WCET.
Bakare, O. D., & Jatto, O. V. (2023). The potential impact of chatbots on student engagement and learning outcomes. In Creative AI tools and ethical implications in teaching and learning (pp. 212–229). IGI Global.
Bakerson, M., Trottier, T., & Mansfield, M. (2015). Assessment in online and blended learning environments. In S. Koc, X. Liu, & P. Wachira (Eds.), Information Age Publishing Inc. Retrieved from https://mafiadoc.com/assessment-inonline-and-blended-learning-_597c73591723ddb28e0735fb.html
Bakla, A. (2020). A mixed-methods study of feedback modes in EFL writing.
Bakerson, M., Trottier, T., & Mansfield, M. (2015). Assessment in online and blended learning environments. In S. Koc, X. Liu, & P. Wachira (Eds.), Information Age Publishing Inc. Retrieved from https://mafiadoc.com/assessment-inonline-and-blended-learning-_597c73591723ddb28e0735fb.html
Baranwal, D. (2022). A systematic review of exploring the potential of teachable agents in English learning. Pedagogical Research, 7(1). https://doi.org/10.29333/pr/11553
Beese, E. B. (2019). A process perspective on research and design issues in educational personalization. Theory and Research in Education, 17(3), 253–279. https://doi.org/10.1177/1477878519893963
Belda-Medina, J., & Calvo-Ferrer, J. R. (2022). Using chatbots as AI conversational partners in language learning. Applied Sciences, 12(17), 8427. https://doi.org/10.3390/app12178427
Biswas, A., & Pal, B. B. (2005). Application of fuzzy goal programming technique to land use planning in agricultural systems. Omega, 33(5), 391–398.
Bonk, C. J., & Lee, M. M. (2017). Motivations, achievements, and challenges of self-directed informal learners in open educational environments and MOOCs. Journal of Learning for Development, 4(1). https://doi.org/10.56059/jl4d.v4i1.195
Bruner, J. (1996). Frames for thinking: Ways of making meaning.
Campbell, L. O., Planinz, T., Morris, K., & Truitt, J. (2019). Investigating undergraduate students’ viewing behaviors of academic video in formal and informal settings. College Teaching, 67(4), 211–221. https://doi.org/10.1080/87567555.2019.1650703
Carpio Cañada, J., Mateo Sanguino, T. J., Merelo Guervós, J. J., & Rivas Santos, V. M. (2015). Open classroom: Enhancing student achievement on artificial intelligence through an international online competition: Open classroom through a competition. Journal of Computer Assisted Learning, 31(1), 14–31. https://doi.org/10.1111/jcal.12075
Cassidy, R. M. (2023). Anatomy and function of higher-order thalamocortical circuits in the visual system (Doctoral dissertation). University of California, San Diego.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
Crompton, H., Burke, D., Jordan, K., & Wilson, S. (2022). Support provided for K-12 teachers teaching remotely with technology during emergencies: A systematic review. Journal of Research on Technology in Education, 54(3), 473-489. https://doi.org/10.1080/15391523.2021.1899877
Cumming, A., Yang, L., Qiu, C., Zhang, L., Ji, X., Wang, J., Wang, Y., Zhan, J., Zhang, F., Xu, C., Cao, R., Yu, L., Chu, M., Liu, M., Cao, M., & Lai, C. (2018). Pupils' practices and abilities for writing from sources in English at universities in China. Journal of Second Language Writing, 39, 1–15. https://doi.org/10.1016/j.jslw.2017.11.001
Dweck, C. S., Walton, G. M., & Cohen, G. L. (2014). Academic tenacity: Mindsets and skills that promote long-term learning. Bill & Melinda Gates Foundation.
Ebadi, S., & Amini, A. (2022). Examining the roles of social presence and human-likeness on Iranian EFL learners’ motivation using artificial intelligence technology: A case of CSIEC chatbot. Interactive Learning Environments, 1-19. https://doi.org/10.1080/10494820.2022.2096638
Ericsson, E., Sofkova Hashemi, S., & Lundin, J. (2023). Fun and frustrating: Students’ perspectives on practising speaking English with virtual humans. Cogent Education, 10(1), 2170088. https://doi.org/10.1080/2331186x.2023.2170088
Essa, A. (2016). A possible future for next-generation adaptive learning systems. Smart Learning Environments, 3(1), 16. https://doi.org/10.1186/s40561-016-0038-y
Fathi, J., & Rahimi, M. (2022). Electronic writing portfolio in a collaborative writing environment: Its impact on EFL students’ writing performance. Computer Assisted Language Learning, 1-39. https://doi.org/10.1080/09588221.2022.2097697
Feyzi Behnagh, R., & Yasrebi, S. (2020). An examination of constructivist educational technologies: Key affordances and conditions. British Journal of Educational Technology, 51, 1907-1919. https://doi.org/10.1111/bjet.13036
Fogel, L. J., Owens, A. M., & Proffitt, W. R. (1992). Evolution.
Fryer, L. K., Thompson, A., Nakao, K., Howarth, M., & Gallacher, A. (2020). Supporting self-efficacy beliefs and interest as educational inputs and outcomes: Framing AI and human-partnered task experiences. Learning and Individual Differences, 80, 101850. https://doi.org/10.1016/j.lindif.2020.101850
Fulton, L., Hoffman, D. L., & Paek, S. (2021). Language learning in an era of datafication and personalized learning. Educational Technology Research and Development, 69(1), 315–318. https://doi.org/10.1007/s11423-020-09903-0
Haristiani, N. (2019, November). Artificial intelligence (AI) chatbot as a language learning medium: An inquiry. Journal of Physics: Conference Series, 1387(1), 012020. IOP Publishing.
Hartshorne, J. K., Tenenbaum, J. B., & Pinker, S. (2018). A critical period for second language acquisition: Evidence from 2/3 million English speakers. Cognition, 177, 263–277. https://doi.org/10.1016/j.cognition.2018.04.007
Hoover, D. R., Peng, Y., Saah, A., Semba, R., Detels, R. R., Rinaldo, C. R., & Phair, J. P. (1996). Occurrence of cytomegalovirus retinitis after human immunodeficiency virus immunosuppression. Archives of Ophthalmology, 114(7), 821-827.
Hwang, G. J., & Fu, Q. K. (2020). Advancement and research trends of smart learning environments in the mobile era. International Journal of Mobile Learning and Organisation, 14(1), 114. https://doi.org/10.1504/ijmlo.2020.10024691
Instefjord, E. J., & Munthe, E. (2017). Educating digitally competent teachers: A study of integration of professional digital competence in teacher education. Teaching and Teacher Education, 67, 37-45. https://doi.org/10.1016/j.tate.2017.05.016
Jerry, M., & Yunus, M. M. (2021). Blended learning in rural primary ESL classroom: Do or don't. International Journal of Learning, Teaching and Educational Research, 20(2), 152-173. https://doi.org/10.26803/ijlter.20.2.9
Jiang, X., Li, J., & Chen, C. H. (n.d.). Enhancing critical thinking skills with ChatGPT-powered activities in Chinese language classrooms.
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.35542/osf.io/5er8f
Kim, S. G., Yoon, S. M., Yang, M., Choi, J., Akay, H., & Burnell, E. (2019). AI for design: Virtual design assistant. CIRP Annals, 68(1), 141-144.
Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298–311. https://doi.org/10.1080/17439884.2020.1754236
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructors: A case study. Computers and Education: Artificial Intelligence, 5, 100156. https://doi.org/10.1016/j.caeai.2023.100156
Kohnke, L., Zou, D., & Moorhouse, B. L. (2024). Technostress and English language teaching in the age of generative AI. Educational Technology & Society, 27(2), 306-320.
Krashen, S. (2018). The conduit hypothesis: How reading leads to academic language competence. Language Magazine, 4, 127-141.
Kruse, O., & Rapp, C. (2019). Seamless writing: How the digitisation of writing transforms thinking, communication, and student learning. In Seamless learning: Perspectives, challenges and opportunities (pp. 191-208).
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. https://doi.org/10.1007/s10639-022-11177-3
Labadze, L., Grigolia, M., & Machaidze, L. (2023). Role of AI chatbots in education: Systematic literature review. International Journal of Educational Technology in Higher Education, 20(1), 56. https://doi.org/10.1186/s41239-023-00426-1
Leelawong, K., & Biswas, G. (2008). Designing learning by teaching agents: The Betty's Brain system. International Journal of Artificial Intelligence in Education, 18(3), 181-208.
Lim, T. M., & Yunus, M. M. (2021). Teachers’ perception towards the use of Quizizz in the teaching and learning of English: A systematic review. Sustainability, 13(11), 6436. https://doi.org/10.3390/su13116436
Liu, X.-X., Gong, S.-Y., Zhang, H.-P., Yu, Q.-L., & Zhou, Z.-J. (2021). Perceived teacher support and creative self-efficacy: The mediating roles of autonomous motivation and achievement emotions in Chinese junior high school students. Thinking Skills and Creativity, 39, 100752. https://doi.org/10.1016/j.tsc.2020.100752
Liu, Y., Storch, N., & Morton, J. (2022). It takes two to tango: Investigating teacher-student interactions related to written corrective feedback with Activity Theory. Assessing Writing, 53, 100647. https://doi.org/10.1016/j.asw.2022.100647
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.
Long, D., & Magerko, B. (2020, April). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-16).
Lubis, M. A., Abdullah Awang Lampoh, M. M. Y., Shahar, S. N., Ishak, N. M., & Muhamad, T. A. (2011). The use of ICT in teaching Islamic subjects in Brunei Darussalam. International Journal of Education and Information Technologies, 1(5), 79-86.
Maghsudi, S., Lan, A., Xu, J., & van der Schaar, M. (2021). Personalized education in the artificial intelligence era: What to expect next. IEEE Signal Processing Magazine, 38(3), 37-50. https://doi.org/10.1109/msp.2021.3055032
Martin, L., Sibbald, M., Brandt Vegas, D., Russell, D., & Govaerts, M. (2020). The impact of entrustment assessments on feedback and learning: Trainee perspectives. Medical Education, 54(4), 328–336. https://doi.org/10.1111/medu.14047
Mayer, R. E. (2009). Constructivism as a theory of learning versus constructivism as a prescription for instruction. In Constructivist Instruction (pp. 196-212). Routledge.
Mvududu, N. H., & Thiel-Burgess, J. (2012). Constructivism in practice: The case for English language learners. International Journal of Education, 4(3). https://doi.org/10.5296/ije.v4i3.2223
Noviyanti, S. D. (2020). Artificial intelligence (AI)-Based pronunciation checker: An alternative for independent learning in a pandemic situation. Journal of English Language Teaching in Foreign Language Context, 5(2), 162. https://doi.org/10.24235/eltecho.v5i2.7246
Oke, A., & Fernandes, F. A. P. (2020). Innovations in teaching and learning: Exploring the perceptions of the education sector on the 4th industrial revolution (4IR). Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 31. https://doi.org/10.3390/joitmc6020031
Peña, A. A. R. (2019). Robot-Proof: Higher education in the age of artificial intelligence [Review of the book Robot-Proof: Higher Education in the Age of Artificial Intelligence, by J. E. Aoun]. Innovación Educativa, 19(80), 181-183.
Piaget, J. (1977). The development of thought: Equilibration of cognitive structures (A. Rosin, Trans.). Viking.
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153. https://doi.org/10.2478/jolace-2019-0025
Preskill, S. (1997). In search of a usable philosophy of education: The vision of J. Glenn Gray. The Journal of Educational Thought (JET)/Revue de la Pensée Educative, 205-222.
Rogoff, B. (1998). Cognition as a collaborative process.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
Rowe, L. W. (2022). Social functions of students’ translingual composing in an English-medium, second-grade classroom. Literacy Research: Theory, Method, and Practice, 71(1), 211-232. https://doi.org/10.1177/23813377221109540
Sadegh-Zadeh, S. A., Movahhedi, T., Hajiyavand, A. M., & Dearn, K. D. (2023, December). Exploring undergraduates’ perceptions of and engagement in an AI-enhanced online course. In Frontiers in Education (Vol. 8, p. 1252543). Frontiers Media SA.
Seldon, A., & Abidoye, O. (2018). The fourth education revolution. Legend Press Ltd.
Selwyn, N. (2019). What’s the problem with learning analytics? Journal of Learning Analytics, 6(3), 11-19. https://doi.org/10.18608/jla.2019.63.3
St. Hilaire, K. J., Chan, J. C., & Ahn, D. (2023). Guessing as a learning intervention: A meta-analytic review of the prequestion effect. Psychonomic Bulletin & Review, 1-31.
Strobl, C., Ailhaud, E., Benetos, K., Devitt, A., Kruse, O., Proske, A., & Rapp, C. (2019). Digital support for academic writing: A review of technologies and pedagogies. Computers & Education, 131, 33–48. https://doi.org/10.1016/j.compedu.2018.12.005
Syahrizal, S., Yasmi, F., & Mary, T. (2024). AI-enhanced teaching materials for education: A shift towards digitalization. International Journal of Religion, 5(1), 203-217.
Tetzlaff, L., Schmiedek, F., & Brod, G. (2021). Developing personalized education: A dynamic framework. Educational Psychology Review, 33(3), 863–882. https://doi.org/10.1007/s10648-020-09570-w
Tipton, E. (2014). How generalizable is your experiment? An index for comparing experimental samples and populations. Journal of Educational and Behavioral Statistics, 39(6), 478–501. https://doi.org/10.3102/1076998614558486
Tipton, E., & Olsen, R. B. (2018). A review of statistical methods for generalizing from evaluations of educational interventions. Educational Researcher, 47(8), 516-524.
Ulicheva, A., Harvey, H., Aronoff, M., & Rastle, K. (2018). Skilled readers' sensitivity to meaningful regularities in English writing. Cognition, 195, 103810. https://doi.org/10.1016/j.cognition.2018.09.013
Utami, S. P. T., & Winarni, R. (2023). Utilization of artificial intelligence technology in an academic writing class: How do Indonesian students perceive? Contemporary Educational Technology, 15(4).
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard University Press.
Walkington, C., & Bernacki, M. L. (2020). Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions. Journal of Research on Technology in Education, 52(3), 235–252. https://doi.org/10.1080/15391523.2020.1747757
Wertsch, J. V. (1997). Narrative tools of history and identity. Culture & Psychology, 3(1), 5-20.
Winkler, R., & Söllner, M. (2018, July). Unleashing the potential of chatbots in education: A state-of-the-art analysis. In Academy of Management Proceedings (Vol. 2018, No. 1, p. 15903). Briarcliff Manor, NY 10510: Academy of Management. https://doi.org/10.5465/ambpp.2018.15903abstract
Wil, C. S. C., Yunus, M. M., & Suliman, A. (2019). The use of social media to assist writing skills among secondary pupils. International Journal of Academic Research in Progressive Education and Development, 8(3), 224-236. http://dx.doi.org/10.6007/IJARPED/v8-i3/6388
Wong, C. H. T., & Yunus, M. M. (2021). Board games in improving pupils’ speaking skills: A systematic review. Sustainability, 13(16), 8772.
Xu, F., Uszkoreit, H., Du, Y., Fan, W., Zhao, D., & Zhu, J. (2019). Explainable AI: A brief survey on history, research areas, approaches, and challenges. In Natural Language Processing and Chinese Computing: 8th CCF International Conference, NLPCC 2019, Dunhuang, China, October 9–14, 2019, Proceedings, Part II 8 (pp. 563-574). Springer International Publishing.
Xuan, S. Y., & Yunus, M. M. (n.d.). Teachers’ attitude towards the use of artificial intelligence-based English language learning: A mini review.
Yan, D. (2023). Impact of ChatGPT on learners in an L2 writing practicum: An exploratory investigation. Education and Information Technologies, 28(11), 13943-13967. https://doi.org/10.1007/s10639-023-11742-4
Yunus, M. M., & Abdullah, N. R. K. R. B. (2011). Motivation and attitudes for learning English among year six students in primary rural school. Procedia-Social and Behavioral Sciences, 15, 2631-2636.
Zawacki-Richter, O., Marín, V. I., 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, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0176-8
Zhang, R., & Zou, D. (2022). A review of research on technology-enhanced peer feedback for second language writing based on the activity theory framework. Education and Information Technologies. https://doi.org/10.1007/s10639-022-11469-8
Zhao, R., Luo, X., & Chen, Y. (2020, June). The essence of interactivity and its impact on online learning community. In Proceedings of the 6th International Conference on Frontiers of Educational Technologies (pp. 6-10).
Vasu, K., Yunus, M. M., & Said, N. E. M. (2025). AI-Enhanced Interactive Platforms for Language Learning: Examining Motivation and Proficiency Development in Primary School Students. International Journal of Academic Research in Progressive Education and Development, 14(1), 1922–1946.
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