Information Package / Course Catalogue
| Course Code | : EFS178 |
| Course Type | : Non Departmental Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 3 |
By realizing the benefits of using artificial intelligence in education, it is aimed to prepare lesson plans, produce educational content, create learning materials and process evaluation by using 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. Ayşe YILMAZ |
| 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. | Knows virtual assistants in educational processes. |
| 5. | Recognize the features of educational content and material production 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 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 2 | 42 |
| Individual Work | 5 | 1 | 1 | 10 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 74 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 3 | 3 | 3 | 4 | 3 | 4 | 5 | |||
OÇ-2 | 3 | 3 | 3 | 4 | 3 | 4 | 5 | |||
OÇ-3 | 3 | 3 | 3 | 4 | 3 | 4 | 4 | |||
OÇ-4 | 3 | 3 | 3 | 4 | 3 | 4 | 4 | |||
OÇ-5 | 3 | 3 | 3 | 4 | 3 | 4 | 4 | |||