
| 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 |
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.
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.
| Assoc. Prof. Mehmet ALTIN |
| 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. |
| 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. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 4 | 3 | 98 |
| Midterm Examination | 1 | 8 | 1 | 9 |
| Final Examination | 1 | 12 | 1 | 13 |
| TOTAL WORKLOAD (hours) | 120 | |||
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 |