| Semester: | 3rd | Course Tutors: | Παπανικολάου Κυπαρισσία, Καθηγήτρια | |
| Group: | 2 | Μυλωνάς Φοίβος, Αναπληρωτής Καθηγητής | ||
| Category: | Elective Courses | See the detailed Course Outline (pdf) | ||
| ECTS: | 7 | Presentation: |  |
Artificial Intelligence in Education
COURSE CONTENT
- Unit 1: Introduction to AI in Education
- Overview of AI in education
- Advantages and challenges of AI in education
- Adaptive learning systems, intelligent tutoring systems, game design and AI, personalized learning paths in Learning Management Systems, automated assessment, and feedback
- Unit 2: Designing AI-Enhanced Learning Experiences
- Modern AI applications in education: ChatGPT
- Developing AI-based educational content
- Designing written tasks with AI
- Using AI for timely and targeted feedback
- Collaborative learning in AI environments
- Digital games and AI
- Data analysis for student performance
- Unit 3: Advances in AI and Their Connection to Education
- Core principles of AI
- Developing AI literacy in students
- Analysis of key algorithms for optimizing teaching and educational experience
- Current scientific and technological advancements
- Unit 4: Ethical Issues in AI for Educators
- Ensuring transparency and accountability
- Privacy and data protection in educational environments
- Democracy, equal access, and rights in AI-enhanced education