Information Package / Course Catalogue
Aı-Powered Educational Tools
Course Code: POD299
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to enable students to become familiar with AI-powered tools used in educational processes, to use these tools effectively, and to develop solutions that contribute to educational practices within their own professional fields. By learning about current AI-based educational applications, students will gain practical insight into how to leverage these technologies in the creation, delivery, and assessment of educational content.

Course Content

The course begins with an introduction to the applications of artificial intelligence in education, covering topics such as intelligent tutoring systems, personalized learning, educational data analytics, and AI-based assessment systems. Additionally, practical applications—including AI-powered content creation tools (e.g., generating videos and materials using AI), virtual assistants, and the use of chatbots in education—are examined. By the end of the course, students apply their theoretical knowledge by designing an AI-supported application tailored to a specific educational scenario.

Name of Lecturer(s)
Learning Outcomes
1.Explains the fundamental concepts and current examples of artificial intelligence applications in education.
2.Effectively uses AI-powered educational tools.
3.Develops artificial intelligence solutions for personalized learning scenarios.
4.Utilizes AI-based content generation tools when preparing educational materials.
5.It proposes AI-powered solutions to problems encountered in educational processes.
6.With an awareness of career development and lifelong learning, they keep up with current developments in artificial intelligence applications in education.
Recommended or Required Reading
1.Artificial Intelligence in Education: From Theory to Practice | Editors: Vasif Nabiyev, Ali Kürşat Erümit | Pegem Akademi Publishing
Weekly Detailed Course Contents
Week 1 - Theoretical
Artificial intelligence in education: Key concepts and historical development
Week 2 - Theoretical
An overview of AI-powered education systems
Week 3 - Theoretical
Personalized learning and artificial intelligence
Week 4 - Theoretical
Personalized learning and artificial intelligence
Week 5 - Theoretical
Data analytics and student performance tracking in education
Week 6 - Theoretical
AI-powered assessment and evaluation systems
Week 7 - Theoretical
Creation of educational content using artificial intelligence (e.g., text, images, video)
Week 8 - Theoretical
Creation of educational content using artificial intelligence (e.g., text, images, video) (Midterm)
Week 9 - Theoretical
Creation of educational content using artificial intelligence (e.g., text, images, video)
Week 10 - Theoretical
Virtual assistants and chatbot applications in education
Week 11 - Theoretical
Examples of augmented reality (AR) and virtual reality (VR) in education
Week 12 - Theoretical
Language processing and automatic translation tools in educational materials
Week 13 - Theoretical
Ethical principles and data security in the use of artificial intelligence in education
Week 14 - Theoretical
Current trends and innovations in educational technologies
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Project26522
Midterm Examination1516
Final Examination1516
TOTAL WORKLOAD (hours)76
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
PÇ-11
PÇ-12
PÇ-13
OÇ-1
3
1
5
5
2
2
1
2
1
1
1
1
1
OÇ-2
3
1
5
5
3
2
1
2
1
1
1
1
1
OÇ-3
3
1
5
5
5
3
2
2
2
1
1
1
1
OÇ-4
3
1
5
5
4
4
1
2
2
1
1
1
1
OÇ-5
3
1
5
5
5
3
3
2
3
1
1
1
1
OÇ-6
2
1
5
4
2
2
1
5
3
2
1
1
1
Adnan Menderes University - Information Package / Course Catalogue
2026