From Applications to Implications: A Systematic Review of Ai in K-12 English Language Teaching

Yıl 2026, Cilt: 1 Sayı: 1, 59 - 75, 30.01.2026

Ramazan Zengin , Nilgün Korkut

Öz

Artificial intelligence (AI) is becoming increasingly prominent in educational practices, offering new avenues for personalization, feedback, and instructional efficiency. Although the majority of existing research focuses on adult learners and higher education, its application in K-12 English language teaching remains underrepresented. This systematic literature review analyzes 54 peer-reviewed studies published in the past decade, following PRISMA guidelinesPRISMA guidelines, to explore how AI is integrated into K-12 English language education. The findings reveal that AI supports the development of core language skills, vocabulary, and grammar through adaptive feedback, contextualized input, and individualized learning experiences. Additionally, AI contributes to learner motivation, engagement, and differentiated instruction, while also raising ethical and pedagogical concerns such as algorithmic bias, data privacy, limited inclusivity, and unequal access. Importantly, the review underscores the continued significance of teacher agency and pedagogical leadership. Successful implementation of AI depends on sustained professional development and approaches that prioritize educational goals over technological possibilities. By centering the K-12 perspective, this study offers a timely contribution to the field of language education and highlights directions for future research, including longitudinal designs and alignment with national curricular reforms.

Anahtar Kelimeler

Teacher–AI Collaboration, , Learning Architect , AI in Language Education , K–12 English Teaching , Socio-emotional Support

Etik Beyan

Bu çalışma, araştırma ve yayın etiği ilkelerine uygun olarak hazırlanmıştır. Tüm veriler etik kurallara uygun şekilde toplanmış, analiz edilmiş ve raporlanmıştır. Herhangi bir çıkar çatışması bulunmamaktadır.

Destekleyen Kurum

Bu makale icin destekleyen kurum bulunmamaktadir.

Teşekkür

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Uygulamalardan Yansımaya: K-12 İngilizce Öğretiminde Yapay Zekâ Üzerine Sistematik Bir Derleme

Öz

Yapay zekâ (YZ), eğitim uygulamalarında giderek daha görünür hâle gelmekte ve kişiselleştirme, geri bildirim sağlama ve öğretim süreçlerini daha verimli hâle getirme konusunda yeni olanaklar sunmaktadır. Mevcut araştırmaların büyük bir çoğunluğu yetişkin öğrenenlere ve yükseköğretime odaklanmasına rağmen odaklanmaktadır;, ancak YZ’nin K-12 İngilizce öğretimindeki uygulamaları halen sınırlı bir şekilde ele alınmaktadır. Bu sistematik derleme, PRISMA yönergelerine uygun olarak son on yılda yayımlanan 54 hakemli çalışmayı inceleyerek YZ’nin K-12 İngilizce dil eğitimine nasıl entegre edildiğini ortaya koymaktadır. Bulgular, YZ’nin uyarlanabilir geri bildirim, bağlama dayalı girdi ve bireyselleştirilmiş öğrenme deneyimleri aracılığıyla temel dil becerileri ile kelime bilgisi ve dilbilgisi gelişimini desteklediğini göstermektedir. Ayrıca YZ; öğrenen motivasyonu, etkileşim ve farklılaştırılmış öğretim açısından önemli katkılar sunmakla birlikte, algoritmik önyargı, veri gizliliği, sınırlı kapsayıcılık ve eşitsiz erişim gibi etik ve pedagojik sorunları da beraberinde getirmektedir. İnceleme, öğretmen inisiyatifinin ve pedagojik liderliğin devam eden önemini vurgulamaktadır. YZ’nin etkili biçimde uygulanması, sürekli mesleki gelişime ve teknolojik olanaklardan ziyade eğitimsel hedefleri önceleyen yaklaşımlara bağlıdır. K-12 bağlamına odaklanan bu çalışma, dil eğitimi alanına güncel ve önemli bir katkı sunmakta; uzunlamasına araştırmalar ve ulusal müfredat reformlarıyla uyum konularında geleceğe yönelik araştırma önerileri ortaya koymaktadır.

Anahtar Kelimeler

Öğretmen–yapay zekâ iş birliği , öğrenme mimarı , dil eğitiminde yapay zekâ , K–12 İngilizce öğretimi , sosyal-duygusal destek

Etik Beyan

This study has been conducted in accordance with research and publication ethics. All data were collected, analyzed, and reported ethically. The author declares no conflict of interest.

Destekleyen Kurum

There is no supporting institution for this article

Teşekkür

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Kaynakça

• Agustini, N. (2023). Examining the role of ChatGPT as a learning tool in promoting students’ English language learning autonomy relevant to Kurikulum Merdeka Belajar. EDUKASIA: Jurnal Pendidikan dan Pembelajaran, 4(2), 921-934. https://doi.org/10.62775/edukasia.v4i2.373
• Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2, 431-440. https://doi.org/10.1007/s43681-021-00096-7
• Al Shobaki, M. J., Abu-Naser, S. S., & Abu Amuna, Y. M. (2022). The role of artificial intelligence in improving the administrative performance of educational institutions. Sustainability, 14(3), 1101. https://doi.org/10.3390/su14031101
• Almegren, A., Almegren, R. M., Hazaea, A. N., Mahdi, H. S., & Mohammed Ali, J. K. (2025). AI-powered ELT: Instructors’ transformative roles and opportunities. PLOS ONE, 20(5), e0324910. https://doi.org/10.1371/journal.pone.0324910
• Bahari, A., Han, F., & Strzelecki, A. (2025). Integrating CALL and AIALL for an interactive pedagogical model of language learning. -, 30, 14305-14333. https://doi.org/10.1007/s10639-025-13388-w
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory (1st ed.). Prentice-Hall.
• Barua, S. (2023). Digital storytelling: Impact on learner engagement and language learning outcomes. International Journal of Academic and Applied Research, 7(6), 25-39. https://www.researchgate.net/publication/372110349
• Belda-Medina, J., & Calvo-Ferrer, J. (2022). Using chatbots as AI conversational partners in language learning. Applied Sciences, 12(17), 8427. https://doi.org/10.3390/app12178427
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
• Chang, D., Lin, M., Hajian, S., & Wang, Q. (2023). Educational design principles of using an AI chatbot that supports self-regulated learning in education: Goal setting, feedback, and personalization. Sustainability, 15(17), 12921. https://doi.org/10.3390/su151712921
• Çelik, A., & Işik, A. D. (2025). The effect of a gamified flipped classroom model on reading comprehension and motivation in a primary school social studies course. Technology, Pedagogy and Education. Advance online publication. https://doi.org/10.1080/1475939X.2025.2505763
• Dahbi, M. (2023). Integrating an intelligent language tutoring system in teaching English grammar. Arab World English Journal, 14(4). https://ssrn.com/abstract=4677399
• Daweli, T. W., & Mahyoub, R. A. M. (2024). Exploring EFL learners’ perspectives on using AI tools and their impacts in reading instruction: An exploratory study. Arab World English Journal (Special Issue on CALL), 10, 160-171. https://doi.org/10.24093/awej/call10.11
• Dennis, N. K. (2024). Using AI-powered speech recognition technology to improve English pronunciation and speaking skills. IAFOR Journal of Education: Technology in Education, 12(2), 107-126. https://doi.org/10.22492/ije.12.2.05
• Dizon, G., & Gayed, J. M. (2021). Examining the impact of Grammarly on the quality of mobile L2 writing. JALT CALL Journal, 17(2), 74-92. https://doi.org/10.29140/jaltcall.v17n2.336
• Erol, M., & Erol, A. (2024). Use of artificial intelligence (AI) technologies in education according to primary school teachers: Opportunities and challenges. Sakarya University Journal of Education, 14(3), 426-446. https://doi.org/10.19126/suje.1446227
• Ferrara, E. (2023). Should ChatGPT be biased? Challenges and risks of bias in large language models. First Monday, 28(11). https://doi.org/10.5210/fm.v28i11.13346
• Filiz, O., Kaya, M. H., & Adıgüzel, T. (2025). Teachers and AI: Understanding the factors influencing AI integration in K-12 education. -, 30, 17931-17967. https://doi.org/10.1007/s10639-025-13463-2
• Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109. https://doi.org/10.3102/00346543074001059
• Gabarre, C., Gabarre, S., Din, R., Shah, P., & Karim, A. A. (2016). Scaffolding engagement in the immersive MALL classroom. Creative Education, 7(2), 349-363. https://doi.org/10.4236/ce.2016.72035
• Gardner, R. C., & Lambert, W. E. (1972). Attitudes and motivation in second language learning. Rowley, MA: Newbury House Publishers.
• Gouseti, A., James, F., Fallin, L., & Burden, K. (2025). The ethics of using AI in K-12 education: A systematic literature review. Technology, Pedagogy and Education, 34(2), 161-182. https://doi.org/10.1080/1475939X.2024.2428601
• Grubaugh, S., Levitt, G., & Deever, D. (2023). Harnessing AI to power constructivist learning: An evolution in educational methodologies. EIKI Journal of Effective Teaching Methods, 1(3). https://doi.org/10.59652/jetm.v1i3.43
• Hu, S. (2024). The effect of artificial intelligence-assisted personalized learning on student learning outcomes: A meta-analysis based on 31 empirical research papers. Science Insights Education Frontiers, 24(1), 3873-3894. https://doi.org/10.15354/sief.24.re395
• Huang, M. (2024). Student engagement and speaking performance in AI-assisted learning environments: A mixed-methods study from Chinese middle schools. Education and Information Technologies, 30, 7143-7165. https://doi.org/10.1007/s10639-024-12989-1
• Hwang, W., Nurtantyana, R., Purba, S., Hariyanti, U., Indrihapsari, Y., & Surjono, H. (2023). AI and recognition technologies to facilitate English as a foreign language writing for supporting personalization and contextualization in authentic contexts. Journal of Educational Computing Research, 61, 1008-1035. https://doi.org/10.1177/07356331221137253
• Karagöz, İ. (2025). AI-generated feedback in English writing instruction for language learners: A systematic review. Reading Matrix: An International Online Journal, 25(1), 51-67. https://www.readingmatrix.com/files/34-9gp90gjo.pdf
• Khasawneh, M. (2024). Study on the effectiveness of speech-to-text technology in supporting writing skills among special education students in Saudi Arabia, Journal of Infrastructure, Policy and Development, Vol. 8, No. 6, Article 4611. https://doi.org/10.24294/jipd.v8i6.4611
• Kim, N.-Y. (2019). A study on the use of artificial intelligence chatbots for improving English grammar skills, Journal of Digital Convergence, Vol. 17, No. 8, pp. 37-46. https://doi.org/10.14400/JDC.2019.17.8.037
• Kim, H., Kim, N. & Cha, Y. (2021). Is it beneficial to use AI chatbots to improve learners’ speaking performance? The Journal of AsiaTEFL, Vol. 18, No. 1, pp. 161-176. https://doi.org/10.18823/ASIATEFL.2021.18.1.10.161
• Kim, J. (2024). Leading teachers’ perspective on teacher-AI collaboration in education. Education and Information Technologies, 29, 8693-8724. https://doi.org/10.1007/s10639-023-12109-5
• Kim, J. (2024). Types of teacher-AI collaboration in K-12 classroom instruction: Chinese teachers’ perspective. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12523-3
• Klimova, B., Pikhart, M., & Kacetl, J. (2023). Ethical issues of the use of AI-driven mobile apps for education. Frontiers in Public Health, 10, Article 1118116. https://doi.org/10.3389/fpubh.2022.1118116
• Koltovskaia, S. (2020). Pupil engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study, Assessing Writing, Vol. 44, Article 100450. https://doi.org/10.1016/j.asw.2020.100450
• Korkut, N. (2025). AI-enhanced English language teaching in K-12 education: A focus on four skills, vocabulary, and grammar. BABUR Research, 4(1), 209-227. https://dergipark.org.tr/en/pub/babur/issue/92547/1684165
• Kovalenko, I., & Baranivska, N. (2024). Integrating artificial intelligence in English language teaching: Exploring the potential and challenges of AI tools in enhancing language learning outcomes and personalized education. European Socio-Legal and Humanitarian Studies, 1, 86-95. https://doi.org/10.61345/2734-8873.2024.1.9
• Krashen, S. D. (1982). Principles and practice in second language acquisition. Pergamon.
• Kundu, A., & Bej, T. (2025). Transforming EFL teaching with AI: A systematic review of empirical studies. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00470-0
• Li, M., & Wilson, J. (2025). AI-integrated scaffolding to enhance agency and creativity in K-12 English language learners: A systematic review. Information, 16(7), 519. https://doi.org/10.3390/info16070519
• Li, X., Xia, Q., Chu, S. K. W., & Yang, Y. (2022). Gamified learning and its impact on self-regulation and motivation in English language learning. Sustainability, 14(12), 7008. https://doi.org/10.3390/su14127008
• Liman Kaban, A. (2023). Erken yaşta teknoloji kullanımının dil gelişimine etkisi. In D. İnal & Ö. Etuş (Eds.), Yabancı dil öğretmeni eğitiminde değişen koşullar, gereksinimler ve öneriler (pp. 14-21). İstanbul: İÜC Yayınevi.
• Ljungcrantz, L. (2026). The interaction of AI and early childhood education: A state-of-the-art review 2020-2024. Early Childhood Education Journal. https://doi.org/10.1007/s10643-025-02079-3
• Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. London: Pearson. https://discovery.ucl.ac.uk/id/eprint/1475756/
• Mohammad, T., Alzubi, A. A. F., Nazim, M., & Khan, S. I. (2024). Paraphrasing prowess: Unveiling the insights of EFL students and teachers on QuillBot mastery. International Journal of Information and Education Technology, 14(5), 642-652. https://doi.org/10.18178/ijiet.2024.14.5.2088
• Moybeka, A., Syariatin, N., Tatipang, D., Mushthoza, D., Dewi, N., & Tineh, S. (2023). Artificial intelligence and the English classroom: The implications of AI toward EFL students’ motivation. Edumaspul: Jurnal Pendidikan, 7(2). https://doi.org/10.33487/edumaspul.v7i2.6669
• Oran, B. B. (2023). Correlation between artificial intelligence in education and teacher self-efficacy beliefs: A review. Rumelide Dil ve Edebiyat Araştırmaları Dergisi, 34, 1354-1365. https://doi.org/10.29000/rumelide.1316378
• Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
• Piaget, J. (1967). Biology and knowledge: An essay on the relations between organic regulations and cognitive processes. University of Chicago Press.
• Rofiah, N. L., & Waluyo, B. (2024). Effects of gamified grammar and vocabulary learning in an English course on EFL students in Thailand. Teaching English with Technology, 24(2), 22-46. https://doi.org/10.56297/vaca6841/LRDX3699/DJJL1101
• Selvam, M., & Vallejo, R. G. (2025). Ethical and privacy considerations in AI-driven language learning. LatIA, 3, 328. https://doi.org/10.62486/latia2025328
• Shadiev, R., & Yang, M. (2020). Review of studies on technology-enhanced language learning and teaching. Sustainability, 12(2), 524. https://doi.org/10.3390/su12020524
• Sholekhah, M., & Fakhrurriana, R. (2023). The use of ELSA Speak as a mobile-assisted language learning (MALL) towards EFL students’ pronunciation. JELITA: Journal of Education, Language Innovation, and Applied Linguistics, 2(2), 125-138. https://doi.org/10.37058/jelita.v2i2.7596
• Sumartono, S. (2023). Empowering Gen Z: Enhancing English speaking skills through technology and authentic communication. NextGen Education Review Journal, 1(2), 1-14. https://doi.org/10.58660/nextgen.v1i2.34
• Sweller, J., van Merriënboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-296. https://doi.org/10.1023/A:1022193728205
• Vesna, L., Sawale, P. S., Kaul, P., Pal, S., & Murthy, B. S. R. (2025). Digital divide in AI-powered education: Challenges and solutions for equitable learning. Journal of Information Systems Engineering and Management, 10(21s), 3327. https://doi.org/10.52783/jisem.v10i21s.3327
• Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
• Wang, Y., Wu, J., Chen, F., Wang, Z., Li, J., & Wang, L. (2024). Empirical assessment of AI-powered tools for vocabulary acquisition in EFL instruction. IEEE Access, 12, 131892-131905. https://doi.org/10.1109/ACCESS.2024.3446657
• Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955. https://doi.org/10.3389/fpsyg.2023.1261955
• Wen, Y., Chiu, M., Guo, X., & Wang, Z. (2024). AI-powered vocabulary learning for lower primary school students. British Journal of Educational Technology, 56(2), 734-754. https://doi.org/10.1111/bjet.13537
• Xiao, Y. (2025). The impact of AI-driven speech recognition on EFL listening comprehension, flow experience, and anxiety: A randomized controlled trial. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-025-04672-8
• Yang, J., Sun, B., Kuang, X., & Thomas, M. S. C. (2023). Enhancing the auditory usage of L2 e-storybooks by precedingly providing learners with perceptual intervention. Interactive Learning Environments, 31(10), 7320-7334. https://doi.org/10.1080/10494820.2022.2067185
• Yim, I. H. Y., & Su, J. (2025). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education, 12, 93-131. https://doi.org/10.1007/s40692-023-00304-9
• Yue, M., Jong, M. S.-Y., & Dai, Y. (2022). Pedagogical design of K-12 artificial intelligence education: A systematic review. Sustainability, 14(23), 15620. https://doi.org/10.3390/su142315620
• Zhang, M. (2024). Enhancing MALL with artificial intelligence: Personalized learning paths in EFL teaching. Research and Advances in Education, 3(8), 49-61. https://doi.org/10.56397/RAE.2024.08.07
• Zhang, P., & Tur, G. (2023). A systematic review of ChatGPT use in K-12 education. European Journal of Education, 58(4), 722-739. https://doi.org/10.1111/ejed.12599
• Zhang, Z. (2024). Advancements and challenges in AI-driven language technologies: From natural language processing to language acquisition. Applied and Computational Engineering, 57(4), 12-28. https://doi.org/10.54254/2755-2721/57/20241325
• Zhou, Y. (2023). Investigating the impact of online language exchanges on second language speaking and willingness to communicate of Chinese EFL learners: A mixed methods study. Frontiers in Psychology, 14, 1177922. https://doi.org/10.3389/fpsyg.2023.1177922