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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Turkish Language and Literature
  3. PhD in Turkish Language and Literature
  4. Course Structure Diagram with Credits
  5. AI-Supported Language Teaching Models
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
TDE640 - AI-Supported Language Teaching Models II. SEMESTER 3 +0 7.5
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. EMİNE KOLAÇ
Mode of Delivery The mode of delivery of this course is face to face.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended None
Recommended Resources Chen, X., & Zou, D. (2023). AI-assisted language learning: A meta-analysis of effectiveness and challenges. Computer Assisted Language Learning, 36(2), 145-167. https://doi.org/xxxxLee, H., & Warschauer, M. (2022). Machine translation in language education: Opportunities and limitations. Language Learning & Technology, 26(1), 1-19. https://doi.org/xxxxKessler, G. (2023). Task-based language teaching in the age of AI: Redefining roles and tools. TESOL Quarterly, 57(3), 789-812. https://doi.org/xxxxGodwin-Jones, R. (2023). Chatbots and conversational agents in language learning. Annual Review of Applied Linguistics, 43, 60-78. https://doi.org/xxxxSun, Z., & Yang, Y. (2022). Personalized language learning with adaptive AI systems. Journal of Educational Technology & Society, 25(4), 112-125. https://doi.org/xxxxChiu, T. K. F., & Churchill, D. (2023). Ethical considerations in AI-driven language education. International Journal of Artificial Intelligence in Education, 33(1), 45-67. https://doi.org/xxxxTürkçe Kaynaklar (4 Adet):Demir, A., & Yılmaz, E. (2023). Yapay zekâ destekli dil öğretimi: Kuramdan uygulamaya. Ankara: Pegem Akademi.Öztürk, M., & Şahin, S. (2022). Dil öğretiminde yapay zekâ uygulamaları ve gelecek perspektifleri. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 37(3), 567-584. https://doi.org/xxxxKarakuş, N., & Aydın, B. (2023). İletişimsel yaklaşımda yapay zekâ sohbet robotlarının rolü. Dil ve Edebiyat Eğitimi Dergisi, 12(1), 34-52.Arslan, R., & Korkmaz, G. (2022). Karma öğrenme modellerinde yapay zekâ entegrasyonu. Eğitim ve Bilim, 47(210), 89-110. https://doi.org/xxxx
Work Placement None.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 1. Language Teaching Models and AI
Week - 2 2. Translation Method
Week - 3 3. Direct Method and AI-Supported Interactive Learning
Week - 4 4. 4. Audiolingual Method and AI
Week - 5 5. Communicative Language Teaching and AI Chat Models
Week - 6 6. Task-Based Learning and Task Design with Artificial Intelligence
Week - 7 7. Whole Language Approach and the Use of AI in Inclusive Learning
Week - 8 8. Creative Tasks and AI-Supported Language Learning
Week - 9 9. Contextual Learning and Personalized Education with AI
Week - 10 10. Blended Methods and Technology Integration
Week - 11 11. AI-Supported Resource Management and Language Teaching
Week - 12 12. Interactive Feedback and Text Correction with Artificial Intelligence
Week - 13 13. Challenges in Language Learning;
Week - 14 14. The Future of Language Teaching Models with AI

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