Information Package / Course Catalogue
Artificial Intelligence in Curriculum Development
Course Code: EPÖ540
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The "Artificial Intelligence in Curriculum Development" course aims to help students understand how artificial intelligence (AI) technologies can be used in developing educational programs. Students will be introduced to AI tools and techniques and explore the potential of these technologies in education. The course will examine the impact of AI applications on the development of educational materials, instructional strategies, and student assessments.

Course Content

This course explores how artificial intelligence technologies can be utilized in curriculum development. Students will be introduced to AI concepts, algorithms, and tools, gaining knowledge about their applications in education. During the course, methods of using artificial intelligence in curriculum development, teaching material production and evaluation techniques will be discussed. Computer and Internet Use Self-Efficacy Levels of Classroom Teachers. Additionally, the ethical and social dimensions of AI in education will be discussed.

Name of Lecturer(s)
Assoc. Prof. Mehmet ALTIN
Learning Outcomes
1.Explains the fundamental concepts of artificial intelligence and how these technologies are used in education.
2.Examines different AI applications used in education and discuss their impacts on educational processes.
3.Uses data analytics and AI tools in education to optimize the process of developing instructional materials.
4.Develops measurement and evaluation techniques using AI and apply these techniques in curriculums.
5.Develops AI-supported curriculum evaluation methods and use these methods to assess the effectiveness of educational curriculum.
Recommended or Required Reading
1.Özkan, M. (2024). Yapay Zeka Çağında Etkili Öğretim. Elma Yayınevi
2.Nabiyev, V. ve Erümit, A. K. (2023). Eğitimde Yapay Zeka Kuramdan Uygulamaya. Pegem Akademi.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Artificial Intelligence
Week 2 - Theoretical
Overview of Artificial Intelligence Applications
Week 3 - Theoretical
AI Applications in Education
Week 4 - Theoretical
Personalized Learning with AI
Week 5 - Theoretical
AI Tools for Developing Instructional Materials
Week 6 - Theoretical
Data Analytics and AI in Education
Week 7 - Theoretical
Using Artificial Intelligence in Needs Analysis
Week 8 - Intermediate Exam
Mid-Term Exam
Week 9 - Theoretical
Utilizing Artificial Intelligence in Goal and Objective Setting
Week 10 - Theoretical
Utilizing Artificial Intelligence in Content Creation
Week 11 - Theoretical
Utilizing artificial intelligence in specification table generation
Week 12 - Theoretical
Utilizing Artificial Intelligence in the Learning-Teaching Process
Week 13 - Theoretical
Utilizing Artificial Intelligence in Measurement and Evaluation
Week 14 - Theoretical
Utilizing Artificial Intelligence in Program Evaluation
Week 15 - Theoretical
Utilizing Artificial Intelligence in Program Evaluation
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory144398
Midterm Examination1819
Final Examination112113
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
5
3
4
2
3
4
3
3
4
OÇ-2
OÇ-3
4
3
4
3
3
3
3
3
3
OÇ-4
OÇ-5
4
3
4
3
3
4
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026