
| Course Code | : BÖT643 |
| 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 |
By realizing the benefits of using artificial intelligence in education; it is aimed to be able to prepare lesson plans, produce educational content, create learning materials and process evaluation processes with educational artificial intelligence applications.
Definition, scope and application areas of artificial intelligence in education; benefits and limitations; traditional artificial intelligence (machine learning, deep learning, neural networks); personalized learning; learning analytics; generative artificial intelligence; artificial intelligence applications in education (creating lesson plans and content, teaching materials, assessment components); student support
| Lec. Fulya TORUN |
| 1. | Explains the importance of using artificial intelligence in education. |
| 2. | Discusses the benefits and limitations of using artificial intelligence in education. |
| 3. | Explains the role of artificial intelligence in personalized learning environments. |
| 4. | It uses virtual assistants in educational processes. |
| 5. | Produces educational content and materials using artificial intelligence applications. |
| 1. | Machado, A. B., dos Santos, J. R., Sacavém, A., Sharma, R., & Cruz, R. N. (2024). Transforming Education: Generative AI and Immediate Engineering in Synthetic Content Creation. In Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation (pp. 368-387). IGI Global. |
| 2. | Bozkurt, A. (2023). Postdigital artificial intelligence. In Encyclopedia of Postdigital Science and Education (pp. 1-5). Cham: Springer Nature Switzerland. |
| 3. | Nabiyev, V., & Erümit, A. K. (2022). Eğitimde Yapay Zeka Kuramdan Uygulamaya (3. Baskı). Ankara: Pegem Akademi. |
| 4. | Luckin, R., Koedinger, K. R., & Greer, J. (Eds.). (2007). Artificial intelligence in education: Building technology rich learning contexts that work (Vol. 158). IOS Press. |
| 5. | Looi, C. K., McCalla, G., & Bredeweg, B. (Eds.). (2005). Artificial intelligence in education: Supporting learning through intelligent and socially informed technology (Vol. 125). Ios Press. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %60 |
| Assignment | 1 | %20 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 3 | 3 | 84 |
| Term Project | 1 | 5 | 10 | 15 |
| Individual Work | 1 | 3 | 10 | 13 |
| Midterm Examination | 1 | 6 | 2 | 8 |
| Final Examination | 1 | 6 | 2 | 8 |
| TOTAL WORKLOAD (hours) | 128 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 5 | 5 | 5 | |||||||
OÇ-2 | 5 | 5 | 5 | |||||||
OÇ-3 | 5 | 5 | ||||||||
OÇ-4 | ||||||||||
OÇ-5 | 5 | 5 | ||||||||