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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 Basic Education
  3. PhD in Basic Education
  4. PhD in Pre-School Education
  5. Course Structure Diagram with Credits
  6. Early Childhood Education and Artificial Intelligence
  7. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
OKÖ601 - Early Childhood Education and Artificial Intelligence I. SEMESTER 3 +0 7.5
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. NİL DUBAN
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites None
Courses Recomended AI-Supported STEAM Implementations in Early Childhood
Recommended Resources Al Darayseh, A. (2023). Acceptance of artificial intelligence in teaching science: Science teachers' perspective. Computers and Education: Artificial Intelligence, 4, Article 100132.Al-Ansi, A. M., et al. (2023). Analyzing augmented reality (AR) and virtual reality (VR) recent development in education. Social Sciences & Humanities Open, 8(1), Article 100532. https://doi.org/10.1016/j.ssaho.2023.100532AlKanaan, H. M. N. (2022). Awareness regarding the implication of artificial intelligence in science education among pre-service science teachers. International Journal of Instruction, 15(3), 895–912. https://doi.org/10.29333/iji.2022.15348aChiu, T. K., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, 4, Article 100118. https://doi.org/10.1016/j.caeai.2022.100118Daher, W., Diab, H. & Rayan, A. (2023). Artificial intelligence generative tools and conceptual knowledge in problem solving in chemistry. Information, 14, 409. https://doi.org/10.3390/info14070409Shin, W. S., & Shin, D. H. (2020). A study on the application of artificial intelligence in elementary science education. Journal of Korean Elementary Science Education, 39(1), 117-132. https://doi.org/10.15267/keses.2020.39.1.117
Work Placement none
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Paradigm Shift in Early Childhood Education: Fundamental principles of early childhood education, contemporary approaches, and changing educational paradigms
Week - 2 Digitalization and Educational Transformation: Effects of digital technologies on education, childhood, and learning in the digital age
Week - 3 Introduction to Artificial Intelligence: Concept, historical development, fundamental components, and educational applications of artificial intelligence
Week - 4 Types of Artificial Intelligence Used in Education: Generative AI, machine learning, intelligent systems, and educational applications
Week - 5 Artificial Intelligence Literacy: Components of AI literacy, ethical use, and critical evaluation skills
Week - 6 AI-Supported Learning Environments: Characteristics and educational use of AI-supported learning environments
Week - 7 Intelligent Tutoring Systems: Personalized learning, adaptive learning systems, and learning analytics
Week - 8 AI Applications for Children: AI-based tools and applications used in early childhood education
Week - 9 Digital Games and Learning: Game-based learning, educational digital games, and AI-supported game applications
Week - 10 AI-Supported Instructional Design: Designing learning activities, materials, and instructional processes using AI tools
Week - 11 Robotics and Coding Applications: Developing problem-solving skills through robotics and coding activities in early childhood
Week - 12 Artificial Intelligence in Story Creation and Language Development: AI-supported storytelling, creative writing, and language development applications
Week - 13 Audio-Visual Content Creation and Gamification: Developing AI-generated audio-visual content, gamification, and motivational applications
Week - 14 Artificial Intelligence Applications in Early Childhood: Presentations and Evaluation: Presentation, discussion, and evaluation of AI-supported educational designs

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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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