Child Development
Course Details
KTO KARATAY UNIVERSITY
Vocational School of Medical Services
Programme of Child Development
Course Details
Vocational School of Medical Services
Programme of Child Development
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 024 4 1 009 | generative artificial intelligence | 2026 | Spring | 4 | 0+0+0 | 3 | 3 |
| Course Type | Elective |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | Lectures, question-and-answer activities, discussions, case studies, demonstration and guided practice, problem-solving, and small-group activities. Prompt writing for generative AI tools; critical evaluation of generated content for accuracy, ethics, privacy, and age appropriateness; and drafting and revising activities, stories, and educational materials for child development. |
| Mode of Delivery | Face to Face |
| Prerequisites | no |
| Coordinator | - |
| Instructor(s) | Asst. Prof. Emine ARSLAN KILIÇOĞLU |
| Instructor Assistant(s) | - |
Course Content
The fundamental operating principles of generative artificial intelligence (GenAI) technologies; the use of text, visual, and audio generation tools in child development and education; the role of artificial intelligence in child-technology interaction; ethical guidelines; data privacy; and educational material development processes.
Objectives of the Course
The goal is to equip students with the skills to use generative AI tools effectively and ethically in the field of child development, to design AI-supported teaching materials, and to assess children's safety in the digital world from an AI perspective.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||