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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. Faculty of Education
  2. Department of Foreign Language Education
  3. Program in English Language Teaching
  4. Course Structure Diagram with Credits
  5. AI Literacy in English Language Teaching
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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  • Learning Outcomes & Program Qualifications
Last Updated: 11/03/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İNÖ377 - AI Literacy in English Language Teaching VII. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Area Elective Courses
Course Instructor(s) PROF. DR. ÖZGÜR YILDIRIM
Mode of Delivery Face-to-face
Place of Delivery
Used Educational Platforms
Prerequisites None.
Courses Recomended None.
Recommended Resources To be announced.
Work Placement None.
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Course introduction: AI and transformation in education
Week - 2 What is AI? Fundamental concepts and applications in education
Week - 3 AI literacy: concept, scope, and teacher education context
Week - 4 AI tools in language teaching: generative AI and language learning applications
Week - 5 AI-TPACK framework and pedagogical integration
Week - 6 Material development and learning activity design with AI
Week - 7 Midterm evaluation
Week - 8 Lesson planning and instructional design with AI
Week - 9 AI-supported assessment and evaluation
Week - 10 AI ethics: academic integrity, data privacy, algorithmic bias
Week - 11 Critical digital pedagogy and critical evaluation of AI
Week - 12 AI-supported language teaching practices and classroom scenarios
Week - 13 Student project presentations
Week - 14 Final evaluation and reflective discussion

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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