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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 Special Education
  3. Master of Arts (MA) in Autism Spectrum Disorder Education
  4. Course Structure Diagram with Credits
  5. Autism Spectrum Disorder and Artificial Intelligence
  6. Description
  • Description
  • Learning Outcomes
  • Learning Outcomes - Program Qualifications
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 30/10/2026

Code - Course Title Course Type Laboratory + Practice ECTS
OSE516 - Autism Spectrum Disorder and Artificial Intelligence I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. SUNAGÜL SANİ BOZKURT
Mode of Delivery This course will be conducted face-to-face.
Place of Delivery On Campus
Used Educational Platforms Face-to-face
Prerequisites There are no prerequisites.
Courses Recomended There are no recommended courses.
Recommended Resources Sağdıç, Z. A., & Sani-bozkurt, S. (2020). Otizm spektrum bozukluğu ve yapay zekâ uygulamaları. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(3), 92-111.Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). Artificial intelligence and reflections from educational landscape: A review of AI Studies in half a century. Sustainability, 13(2), 800.
Work Placement None.
Aims of the Course The aim of this course is to provide fundamental knowledge and skills regarding the use of artificial intelligence technologies in the education of individuals with autism spectrum disorder; to examine the possibilities of AI-supported applications in supporting instruction, communication, social interaction, and independent living skills; and to develop awareness concerning the ethical, safe, and effective use of these technologies.

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Artificial Intelligence: Definition and history of artificial intelligence
Week - 2 Basic concepts;
Week - 3 Types of Artificial Intelligence: Machine learning, deep learning, generative artificial intelligence
Week - 4 Types of Artificial Intelligence: Machine learning, deep learning, generative artificial intelligence
Week - 5 Artificial Intelligence and Autism Spectrum Disorder: Artificial intelligence-supported applications in the diagnosis and monitoring process of autism spectrum disorder
Week - 6 Artificial Intelligence and Autism Spectrum Disorder: Artificial intelligence-supported applications in the diagnosis and monitoring process of autism spectrum disorder
Week - 7 Artificial intelligence-supported technology applications used in the education of individuals with autism spectrum disorder
Week - 8 Artificial intelligence-supported technology applications used in the education of individuals with autism spectrum disorder
Week - 9 Advantages and risks of artificial intelligence
Week - 10 Advantages and risks of artificial intelligence
Week - 11 Artificial Intelligence and Ethics: Ethical issues of using artificial intelligence
Week - 12 Ethics of artificial intelligence regarding autism spectrum disorder
Week - 13 Trends on artificial intelligence and autism spectrum disorder
Week - 14 Trends on artificial intelligence and autism spectrum disorder

  • Quality Education Reducing Inequalities

  • Educational Sciences and Educational Technologies Artificial Intelligence

  • Open-Ended Test Homework Presentation

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

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