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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 Foreign Language Education
  3. PhD in Foreign Language Education
  4. PhD in German Language Education
  5. Course Structure Diagram with Credits
  6. Artificial Intelligence in German Language Teaching
  7. 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
ALÖ637 - Artificial Intelligence in German Language Teaching I. SEMESTER 3 +0 7.5
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. BORA BAŞARAN
Mode of Delivery Face-to-face/Online
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisites or co-requisites for this course
Courses Recomended Approaches in German Language Teaching I-I, Research Methods in Education
Recommended Resources
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction - The Role of Artificial Intelligence in Teaching German
Week - 2 Artificial Intelligence and Its Place in Distance Learning
Week - 3 Self-Learning - AI-Supported Strategies
Week - 4 Use of AI in Computer-Assisted Language Learning
Week - 5 Challenges Encountered in Language Learning with AI
Week - 6 AI Applications for Teaching German
Week - 7 Enhancing Student Engagement with AI Tools
Week - 8 AI-Based Assessment Systems
Week - 9 Applied AI Projects and Case Studies
Week - 10 Ethical Use of AI in Education
Week - 11 The Future Learning Environments and AI
Week - 12 Sample Cases
Week - 13 Sample Design for German Teaching
Week - 14 Review and Future Projections

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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