Artificial intelligence (AI) technologies significantly contribute to human efficiency and effectiveness. In education systems and teaching-learning processes, expert human resources and researchers are needed to ensure the proper utilization and integration of AI technologies. The Ibn Haldun University Artificial Intelligence Technologies in Education Master's Program (IHU-AITE) is Turkey's first and only graduate program designed to train these experts and build a research ecosystem.
Prof. Özcan Erkan Akgün
The IHU-AITE aims to contribute to the training of human resources capable of effectively and appropriately integrating AI into educational services and teaching-learning processes, as well as to research and development of innovative solutions and products in this field.
The IHU-AITE program goals to:
Enhancing the efficiency and effectiveness of individuals, processes, and products in the education sector and related fields by utilizing AI technologies.
Ensuring proper and effective integration of AI technologies into educational practices.
Conducting scientific research and projects focused on AI applications in education.
ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN EDUCATION MASTER'S PROGRAM WITH THESISCURRICULUM AND COURSE CONTENTS LESSON PLAN
| 1st Semester | |||||
| Course Code | Course Name | Hours | Credit | ECTS | |
| Theory | Application | ||||
| EYZ 500 | Seminar | 3 | 0 | 0 | 3 |
| EYZ 501 | Fundamentals of Educational Technology and Artificial Intelligence | 3 | 0 | 3 | 8 |
| EYZ 503 | Scientific Research Methods and Ethics | 3 | 0 | 3 | 8 |
| Elective | Elective Course Selection from the Pool | 3 | 0 | 3 | 8 |
| Sum | 12 | 35 | |||
| 2nd Semester | |||||
| Course Code | Course Name | Hours | Credit | ECTS | |
| Theory | Application | ||||
| BIA 505 | Artificial Intelligence and Business Analytics with R | 3 | 0 | 3 | 8 |
| EYZ 502 | Artificial Intelligence Supported Training Management, Planning and Supervision | 3 | 0 | 3 | 8 |
| EYZ 504 | Artificial Intelligence Supported Learning and Teaching Design | 3 | 0 | 3 | 8 |
| EYZ 506 | Artificial Intelligence in Measurement, Evaluation and Guidance | 3 | 0 | 3 | 8 |
| Sum | 12 | 35 | |||
| 3rd Semester | |||||
| Course Code | Course Name | Hours | Credit | ECTS | |
| Theory | Application | ||||
| EYZ 599 | Master's Thesis | 0 | 0 | 0 | 30 |
| Sum | 0 | 30 | |||
| 4th Semester | |||||
| Course Code | Course Name | Hours | Credit | ECTS | |
| Theory | Application | ||||
| EYZ 599 | Master's Thesis | 0 | 0 | 0 | 30 |
| Sum | 0 | 30 | |||
| Grand Total | 24 | 130 | |||
| Compulsory Courses | |||||
| Course Code | Course Name | Hours | Credit | ECTS | |
| Theory | Application | ||||
| EYZ 500 | Seminar | 3 | 0 | 0 | 3 |
| EYZ 501 | Fundamentals of Educational Technology and Artificial Intelligence | 3 | 0 | 0 | 3 |
| EYZ 502 | Artificial Intelligence Supported Training Management, Planning and Supervision | ||||
| EYZ 503 | Scientific Research Methods and Ethics | 3 | 0 | 3 | 8 |
| EYZ 504 | Artificial Intelligence Supported Learning and Teaching Design | ||||
| BIA 505 | Artificial Intelligence and Business Analytics with R | 3 | 0 | 3 | 8 |
| EYZ 506 | Artificial Intelligence in Measurement, Evaluation and Guidance | ||||
| Elective Courses | |||||
| Course Code | Course Name | Hours | Credit | ECTS | |
| Theory | Application | ||||
| BIA 518 | Machine Learning | 3 | 0 | 3 | 8 |
| EYZ 505 | The Relationship Between Education and Artificial Intelligence in the Context of Value Systems | 3 | 0 | 3 | 8 |
| EYZ 507 | Socio-Psychological Aspects of Artificial-Intelligence Technologies and Coping Strategies | 3 | 0 | 3 | 8 |
| EYZ 509 | Inclusive and Supportive Educational Technology Applications with Artificial Intelligence | 3 | 0 | 3 | 8 |
| ISL 510 | Innovation and Entrepreneurship | 3 | 0 | 3 | 8 |
| ISL 513 | Data Analysis and Decision Making | 3 | 0 | 3 | 8 |