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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 Technology Integration in Education
  3. Non-Thesis Master’s Degree in Technology Integration in Education
  4. Non-Thesis Master’s Degree in Instructional Technology (Distance Education)
  5. Course Structure Diagram with Credits
  6. Artificial Intelligence Applications in Teaching
  7. Description
  • Description
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  • ECTS Credit Load
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
ETE532 - Artificial Intelligence Applications in Teaching II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. MUHAMMET RECEP OKUR
Mode of Delivery Online
Place of Delivery
Used Educational Platforms
Prerequisites None
Courses Recomended None
Recommended Resources Recommended reading Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century.Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning.
Work Placement None
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to artificial intelligence: Definitions and basic principles
Week - 2 The role and history of artificial intelligence in education
Week - 3 An overview of personalized learning systems
Week - 4 AI-powered adaptive learning environments
Week - 5 Automatic evaluation systems
Week - 6 Feedback systems
Week - 7 Learning interaction with virtual teachers and chatbots
Week - 8 Ethical and security issues: Data privacy and bias
Week - 9 Learning analytics and AI integration
Week - 10 Use of AI-based teaching tools in the classroom
Week - 11 Applied Project Development
Week - 12 Applied Project Development
Week - 13 Project Presentations and General Evaluation
Week - 14 Project Presentations and General Evaluation

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

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