• Verwendete Quellen

    Ai, H. (2017). Providing graduated corrective feedback in an intelligent computer-assisted language learning environment. ReCALL, 29(3), 313–334. https://doi.org/10.1017/S095834401700012X

    Akpabio, E., Akpabio, I., & Akpabio, I. (2025). Leveraging AI for personalized English language learning: Tailoring instruction to individual needs. In Emerging Science Journal (pp. 385–415). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9077-1.ch015

    Alqaed, M. (2024). AI in English language learning: Saudi learners’ perspectives and usage. Advanced Education, (25). https://doi.org/10.20535/2410-8286.318972

    Berendt, B., Littlejohn, A., & Blakemore, M. (2020). AI in education: Learner choice and fundamental rights. Learning, Media and Technology, 45(3), 312–324. https://doi.org/10.1080/17439884.2020.1786399

    Canagarajah, A. S. (2011). Codemeshing in academic writing: Identifying teachable strategies of translanguaging. The Modern Language Journal, 95(3), 401–417.

    Chang, D. H., Lin, M. P.-C., Hajian, S., & Wang, Q. Q. (2023). Educational design principles of using AI chatbot that supports self-regulated learning in education: Goal setting, feedback, and personalization. Sustainability, 15(17), 12921. https://doi.org/10.3390/su151712921

    Crompton, H., Edmett, A., & Burke, D. (2024). Artificial intelligence and English language teaching: Affordances and challenges. British Journal of Educational Technology, 55(6), 2513–2538. https://doi.org/10.1111/bjet.13460

    Çobanoğulları, F., & Özbek, Ö. (2025). AI-powered language learning: Developing the ChatGPT usage scale for foreign language learners. Education and Information Technologieshttps://doi.org/10.1007/s10639-025-13342-w

    Dandu, G., Charyulu, G. M., & Lavanya Kumari, K. (2024). AI-driven language learning: The impact of Rosetta Stone on ESL students' speaking proficiency and self-control. Rupkatha Journal on Interdisciplinary Studies in Humanities, 16(4). https://doi.org/10.21659/rupkatha.v16n4.09

    Davoodifard, M., & Eskin, D. (2024). Exploring the role of generative AI in second language education: Insights for instruction, learning, and assessment. Studies in Applied Linguistics & TESOL, 24(1), 21–23.

    D’Esposito, M. E. W., & Gatner, S. (2024). Inteligência artificial no ensino-aprendizagem de línguas. Revista de Letras da USP, 45(3), 135–153. https://doi.org/10.23925/2318-7115.2024v45i3e63941

    DeKeyser, R. (2005). What makes learning second-language grammar difficult? A review of issues. Language Learning, 55(1), 1–25.

    Dorasamy, M., & Jambulingam, M. (2025). Generative AI and ChatGPT for foreign language learning: An action research. South Asian Journal of Management, 31(6), 97–119.

    Elbow, P. (1973). Writing without teachers. Oxford University Press.

    Elsherbiny, H., & Toumajian, D. (2025). From novelty to necessity: A survey on second language learning in the age of AI. The FLTMAG, 1–13.

    Ge, Z.-G., Zhang, A.-Y., Li, Y.-F., & Su, J. (2019). Exploring the impact of teachers’ verbal immediacy as an emotion mediating factor on adult e-learners’ language learning. Educational Technology & Society, 22(4), 77–89.

    Godwin-Jones, R. (2022). Partnering with AI: Intelligent writing assistance and instructed language learning. Language Learning & Technology, 26(2), 5–24.

    Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.

    Helmke, A., & Weinert, F. E. (1997). Bedingungsfaktoren schulischer Leistungen. In F. E. Weinert (Hrsg.), Psychologie des Unterrichts und der Schule (S. 71–177). Hogrefe.

    Krashen, S. (1985). The input hypothesis: Issues and implications. Longman.

    Kourkoulou, D., Tzirides, A.-O., Cope, B., & Kalantzis, M. (Hrsg.). (2024). Trust and inclusion in AI-mediated education: Where human learning meets learning machines. Springer. https://doi.org/10.1007/978-3-031-64487-0

    Kumar, P. C., Cotter, K., & Cabrera, L. Y. (2024). Taking responsibility for meaning and mattering: An agential realist approach to generative AI and literacy. Reading Research Quarterly, 59(4), 570–578. https://doi.org/10.1002/rrq.570

    Lee, H., & Lee, J. H. (2024). The effects of AI-guided individualized language learning: A meta-analysis. Language Learning & Technology, 28(2), 134–162.

    Meurers, D. (2020). Natural language processing and language learning. In C. A. Chapelle (Ed.), The concise encyclopedia of applied linguistics. Wiley.

    Pienemann, M. (1989). Is language teachable? Psycholinguistic experiments and hypotheses. Applied Linguistics, 10(1), 52–79.

    Schnotz, W., & Kürschner, C. (2007). A reconsideration of cognitive load theory. Educational Psychology Review, 19, 469–508.

    Shetye, S. (2024). An evaluation of Khanmigo, a generative AI tool, as a computer-assisted language learning app. Studies in Applied Linguistics & TESOL, 24(1), 38–53.

    Swain, M. (2005). The output hypothesis: Theory and research. In E. Hinkel (Ed.), Handbook of research in second language teaching and learning. Lawrence Erlbaum.

    Urquiza-Yllescas, J. F., Mendoza, S., Sánchez-Adame, L. M., Rodríguez, J., & Decouchant, D. (2024). Towards an architecture for educational chatbots. In Learning and Collaboration Technologies (HCII 2024). Springer.

    Vygotsky, L. S. (1986). Thought and language. MIT Press.

    Wang, X., Liu, Q., Pang, H., Tan, S. C., Lei, J., Wallace, M. P., & Li, L. (2023). Using chatbots as AI conversational partners in language learning. Computers & Education, 194, 104703.

    Zhi, R., & Wang, Y. (2024). On the relationship between EFL students' attitudes toward artificial intelligence, teachers' immediacy and teacher-student rapport, and their willingness to communicate. System, 124, 103341.

    Zhu, M., & Wang, C. (2025). A systematic review of artificial intelligence in language education: Current status and future implications. Language Learning & Technology, 29(1), 1–29.

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      Dieser Kurs wurde von Alina Lira Lorca im Auftrag des Niedersächsischen Landesinstituts für schulische Qualitätsentwicklung (NLQ Hildesheim) erstellt und steht – soweit nicht anders gekennzeichnet – unter der Lizenz Creative Commons Namensnennung 4.0 International (CC BY 4.0).

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