The Effect of Digital Innovation through Duolingo and Artificial Intelligence on English Language Learning Outcomes
Abstract
This study investigates the effect of Duolingo, an AI-enhanced mobile learning platform, on English language learning outcomes among sixth-grade students at Sekolah Dasar Islam Terpadu (SDIT) Imam Syafii Cendikia, Pekanbaru. Despite the growing integration of digital technologies in Indonesian secondary and higher education, the application of AI-based platforms in Islamic elementary schools remains limited. This research addresses this gap by examining how adaptive, gamified learning tools can enhance linguistic achievement while maintaining alignment with Islamic educational values. A one-group pretest-posttest quasi-experimental design was employed with 30 participants over six weeks. Results indicated significant improvement in English proficiency, with mean scores increasing from 62.47 (SD = 10.42) to 81.63 (SD = 7.91), yielding a large effect size (Cohen's d = 0.88). Questionnaire data revealed highly positive student perceptions (M = 4.36, SD = 0.52) regarding motivation, usability, and attitudes toward AI-based learning. Classroom observations confirmed high engagement levels (M = 4.32) across attention, participation, and collaborative behavior. The findings suggest that AI-driven adaptive learning platforms can effectively personalize instruction, reduce achievement gaps, and foster intrinsic motivation in mixed-ability classrooms when culturally contextualized within faith-based pedagogy. This study contributes empirical evidence supporting the integration of AI-assisted language learning in Indonesian Islamic elementary education.
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Ahmad, S., Rahman, M., & Hassan, A. (2022). Faith-based education and digital learning: Challenges and opportunities in Islamic schools. Journal of Islamic Education, 15(2), 112-128.
Alshammari, T. (2023). The evolving role of teachers in AI-supported learning environments. Educational Technology Research, 41(3), 245-267.
Bai, X., & Wang, J. (2023). Gamification and its impact on young EFL learners' motivation and retention. Computer Assisted Language Learning, 36(1), 89-108.
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589-597.
Chen, L., Zhang, R., & Liu, A. (2021). Human-AI interaction in educational contexts: Trust, engagement, and learning outcomes. International Journal of Artificial Intelligence in Education, 31(2), 456-478.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Thousand Oaks, CA: Sage Publications.
Csikszentmihalyi, M. (2014). Flow and the foundations of positive psychology. Dordrecht: Springer.
de la Fuente, J. (2021). Gamification in language learning: A systematic review. Language Learning & Technology, 25(3), 132-156.
Deci, E. L., & Ryan, R. M. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. New York: Guilford Press.
Denzin, N. K. (2017). The research act: A theoretical introduction to sociological methods. New York: Routledge.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2016). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109.
Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2021). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer Assisted Language Learning, 27(1), 70-105.
Habibi, A., Razak, R. A., Yusop, F. D., & Mukminin, A. (2019). Preparing future EFL teachers for effective technology integration: What do teacher educators say? Asian EFL Journal, 21(2), 9-30.
Hamid, S., Waycott, J., Kurnia, S., & Chang, S. (2017). Understanding students' perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26, 1-9.
Hashim, R., & Langgulung, H. (2020). Islamic education: Philosophy, aims and objectives. Kuala Lumpur: Dewan Bahasa dan Pustaka.
Holmes, W. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Boston: Center for Curriculum Redesign.
Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial intelligence in education. Boston: Center for Curriculum Redesign.
Holmes, W., Persson, J., Chounta, I. A., Wasson, B., & Dimitrova, V. (2022). Artificial intelligence and education: A critical view through the lens of human rights, democracy and the rule of law. Strasbourg: Council of Europe.
Krashen, S. D. (1985). The input hypothesis: Issues and implications. London: Longman.
Kuhl, P. K. (2010). Brain mechanisms in early language acquisition. Neuron, 67(5), 713-727.
Larsen-Freeman, D. (2018). Looking ahead: Future directions in, and future research into, second language acquisition. Foreign Language Annals, 51(1), 55-72.
Li, W., & Tsai, C. C. (2023). Game-based learning in science education: A review of relevant research. Journal of Science Education and Technology, 26(5), 522-549.
Loewen, S., Crowther, D., Isbell, D. R., Kim, K. M., Maloney, J., Miller, Z. F., & Rawal, H. (2020). Mobile-assisted language learning: A Duolingo case study. ReCALL, 31(3), 293-311.
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. London: UCL Institute of Education Press.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson.
Ministry of Education and Culture. (2023). Digital Learning Report 2023. Jakarta: Kementerian Pendidikan dan Kebudayaan Republik Indonesia.
Mitra, S. (2013). Beyond the hole in the wall: Discover the power of self-organized learning. New York: TED Books.
Nasir, M. K. M., & Haron, H. (2021). Integrating Islamic values in gamification for education: A conceptual framework. Journal of Islamic Education Research, 12(1), 45-67.
Noor, A., Aziz, F., & Rahman, S. (2022). School leadership in the digital age: Perspectives from Islamic schools in Southeast Asia. Educational Management Administration & Leadership, 50(4), 678-695.
Plonsky, L., & Oswald, F. L. (2014). How big is "big"? Interpreting effect sizes in L2 research. Language Learning, 64(4), 878-912.
Rachels, J. R., & Rockinson-Szapkiw, A. J. (2018). The effects of a mobile gamification app on elementary students' Spanish achievement and self-efficacy. Computer Assisted Language Learning, 31(1-2), 72-89.
Rafiq, M., & Rahman, A. (2021). Digital pedagogy and Islamic ethics: Enhancing student engagement in Southeast Asian schools. Asia Pacific Education Review, 22(3), 441-458.
Rahman, M. (2023). Collaborative networks in educational technology: The case of Islamic schools in Indonesia. Journal of Educational Technology Development, 18(2), 234-256.
Rahman, M., & Yuliani, S. (2024). Teachers' digital literacy and pedagogical beliefs in Indonesian primary schools. Indonesian Journal of Applied Linguistics, 14(1), 89-107.
Rahman, S., Yasin, R. M., Yassin, S. F. M., Nor, F. M., & Rauf, R. A. A. (2022). The impact of peer-assisted learning on academic achievement: A meta-analysis. Educational Research Review, 35, 100-118.
Setiyadi, B. (2017). Teaching English as a foreign language (2nd ed.). Yogyakarta: Graha Ilmu.
Setiawan, R., Maryono, & Sutopo, A. (2022). Blended learning and religious education: Student motivation in Indonesian Islamic schools. Journal of Beliefs & Values, 43(2), 178-194.
Susanto, A., Rachmadtullah, R., & Samsudin, A. (2012). Mobile-assisted learning in Indonesian secondary education: Effectiveness and student engagement. International Journal of Mobile Learning, 6(4), 312-328.
Vesselinov, R., & Grego, J. (2012). Duolingo effectiveness study. New York: City University of New York.
von Ahn, L. (2019). The democratization of education through artificial intelligence. Communications of the ACM, 62(12), 70-77.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223-235.
Xu, Y., & Warschauer, M. (2020). What are you talking to? Understanding children's perceptions of conversational agents. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-13.
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.
Zimmerman, B. J. (2015). Self-regulated learning: Theories, measures, and outcomes. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences (2nd ed., pp. 541-546). Oxford: Elsevier.
DOI: https://doi.org/10.31004/jele.v10i6.1635
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