Artificial Intelligence In Education
Educational Technology
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Artificial Intelligence In Education | BTE539 | Elective | Master's degree | 1 | Fall | 7 |
Name of Lecturer(s)
Associate Prof. Dr. Funda DAĞ
Learning Outcomes of the Course Unit
1) Defines the field of Artificial Intelligence in education.
2) Expresses a basic understanding of Artificial Intelligence and its components.
3) Compare the concepts of adaptation, individualization, personalization.
4) Defines the applications of artificial intelligence in education.
5) Explain what Artificial Intelligence and its components are, how they work and their current applications.
6) Describe specific tools and approaches to using AI to support interdisciplinary teaching.
7) Explain how AI tools are used in the field of education.
8) Discuss ways to utilize AI applications to support student achievement and nurture students' interest and aptitude in computer science.
9) Describe initiatives and goals for teaching AI in schools.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
| Learning Outcomes | |||||||||||
| 1 | No relation | No relation | No relation | No relation | High | High | No relation | No relation | No relation | Middle | |
| 2 | No relation | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | High | |
| 3 | No relation | No relation | No relation | No relation | High | Middle | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | High | |
| 6 | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | High | |
| 7 | No relation | No relation | No relation | No relation | No relation | High | No relation | No relation | No relation | High | |
| 8 | No relation | No relation | No relation | No relation | No relation | Middle | High | No relation | No relation | High | |
| 9 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | High | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Concepts and applications of AI in education, current and emerging technologies in the field of AI, including and extending AI tools used in education, problem solving, machine learning, knowledge acquisition and reasoning, expert systems and data mining, natural language processing and chatbots, robotics, image processing, decision support systems and voice assistance applications, emotion detection, frameworks for the integration of education and AI, and the relationship between computational thinking and AI
Weekly Schedule
1) AI field definition and history2) Educational Sciences and AI relationship
3) AI applications in Education
4) AI Technologies: Knowledge Acquisition, Knowledge modeling, expert systems, graphs and semantic networ
5) AI Technologies: Machine Learning
6) AI Technologies: Data science and mining
7) AI Technologies Natural Language Processing
8) AI Tools in Education
9) Ethical and Social Issues (Field study)
10) MIDTERM EXAM
11) Computational Thinking for AI
12) AI4K12 initiative
13) School-oriented AI courses (Research work)
14) How to use current ai applications in educational environments
15) FINAL STUDY
Recommended or Required Reading
1- Luckin, R., George, K., & Cukurova, M. (2022). AI for school teachers. CRC Press.
2- Russell, S. J. (2010). Artificial intelligence a modern approach. Pearson Education, Inc..
3- Arora, V. (2021). Artificial Intelligence in Schools: A Guide for Teachers, Administrators, and Technology Leaders. Routledge.
4- AI-ED Conference(s) Book series
5- Pinkwart, N., & Liu, S. (Eds.). (2020). Artificial Intelligence Supported Educational Technologies. Springer.
6- Tegmark, M. (2017). Yaşam 3.0, Pegasus Yayınları
7- Isaacson, W. (2017). Geleceği Keşfedenler. Domingo Yayınları
8- Russel, S.J. (2021). İnsanlık İçin Yapay Zeka: Yapay Zeka ve Kontrol Problemi (Türkçe: Buzdağı Yayınları)
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Brain Storming
5) Case Study
6) Self Study
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
60% |
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Contribution of Final Examination to Course Grade |
40% |
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Total | 100% | ||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required