Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | EĞİTİMDE YAPAY ZEKA TEKNOLOJİLERİ(TEZLİ YÜKSEK LİSANS ÖNERİLEN) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | GÖKÇE BECİT (gokcebi@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| To gain basic knowledge and awareness about the use of artificial intelligence technologies in the field of education and to enable them to define the ethical problems that these technologies may cause. To enable students to evaluate ethical principles and theories in the context of artificial intelligence; to guide them to think analytically on ethical dilemmas that may be encountered in education. To encourage students to develop a critical perspective on issues such as algorithmic decision making, data privacy, bias and transparency, and to discuss the implications of these concepts for educational practice. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Defines the ethical principles and explains the basic concepts related to the use of artificial intelligence in education. |
PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. |
Examination Term Paper |
| LO-2 | Analyzes the ethical dilemmas that artificial intelligence applications may cause in educational environments. |
PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. |
Examination Term Paper |
| LO-3 | Interpret legal, institutional and cultural regulations related to the use of artificial intelligence in education. |
PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. |
Examination Term Paper |
| LO-4 | Develops and defends solutions to ethical problems from an interdisciplinary perspective. |
PO-8 Evaluates studies on artificial intelligence technologies in education with a critical perspective, taking into account ethical values. |
Examination Term Paper |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course includes the concepts of morality and ethics, professional ethics and ethics, ethical principles in education, ethical evaluation of applications of artificial intelligence technologies in education, ability to develop artificial intelligence applications in accordance with ethical principles and standards, analysis of ethical decision-making processes in the use of artificial intelligence in educational environments, international ethical standards, ethical legislation related to artificial intelligence and education in Turkey. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Introduction: Artificial Intelligence and Ethics | |
| 2 | Uses of Artificial Intelligence in Education | |
| 3 | Ethical Issues in Educational Technology | |
| 4 | Collecting and Using Student Data | |
| 5 | Algorithmic Neutrality and Discrimination | |
| 6 | Artificial Intelligence in Decision Making | |
| 7 | Ethical Frameworks and Standards | |
| 8 | mid-term exam | |
| 9 | Traceability of AI systems. | |
| 10 | Ethical Decision-Making Models | |
| 11 | Ethical Responsibilities of Educators and Institutions | |
| 12 | Ethics and Artificial Intelligence from an Interdisciplinary Perspective | |
| 13 | Examples from Turkey and the World | |
| 14 | General Evaluation and Student Project Presentations | |
| 15 | General Evaluation and Student Project Presentations | |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| Required Course instruments and materials | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | |||
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | |||
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 0 | ||
| Outside Class | |||
| a) Reading | 2 | 14 | 28 |
| b) Search in internet/Library | 2 | 14 | 28 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 3 | 14 | 42 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 7 | 21 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 3 | 7 | 21 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 143 | ||