Information Package / Course Catalogue
Use of Artificial Intelligence in Education
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
Objectives of the Course

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.

Course Content

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

Name of Lecturer(s)
Lec. Fulya TORUN
Learning Outcomes
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.
Recommended or Required Reading
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.
Weekly Detailed Course Contents
Week 1 - Theoretical
Course introduction: scope, importance and requirements
Week 2 - Theoretical
Artificial intelligence: definition, history, benefits and limitations
Week 3 - Theoretical
Artificial intelligence in education: scope, rationale, benefits and limitations
Week 4 - Theoretical
Traditional artificial intelligence definition: Machine learning, deep learning and neural networks
Week 5 - Theoretical
Natural language processing and image processing in education
Week 6 - Theoretical
Personalized learning environments
Week 7 - Theoretical
Learning analytics and improvement
Week 8 - Theoretical
Generative artificial intelligence: definition, application areas, educational assistants (midterm exam)
Week 9 - Theoretical
Artificial intelligence applications in education I: creating lesson plans and content
Week 10 - Theoretical
Artificial intelligence applications in education II: creating intstructional materials
Week 11 - Theoretical
Artificial intelligence applications in education III: creating assessment components
Week 12 - Theoretical
Artificial intelligence applications in education IV: student support (content, exercises, guidance)
Week 13 - Theoretical
Student project presentations
Week 14 - Theoretical
Student project presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%60
Assignment1%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory143384
Term Project151015
Individual Work131013
Midterm Examination1628
Final Examination1628
TOTAL WORKLOAD (hours)128
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
PÇ-10
OÇ-1
5
5
5
OÇ-2
5
5
5
OÇ-3
5
5
OÇ-4
OÇ-5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026