Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
8EMB086Artificial Intelligence Applications in Education2+0+02408.10.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Pre-School Teaching
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The general aim of this course is to provide pre-service teachers with knowledge about the place and importance of artificial intelligence technology in learning and teaching, to enable them to recognize applications with AI technology, and to develop their ability to design instruction in early childhood education by using AI technology in line with the needs and settings of learning and teaching.
Course Content Artificial intelligence technology and its basic concepts; the place and importance of AI technology in education; the historical development of AI technology in education; AI-based applications used in education (creating learning content with chatbots, text-to-speech, text-to-image and text-to-video tools, feedback-help-support applications, AI-supported measurement and evaluation); using AI-based applications in early childhood education in line with the needs and settings of learning and teaching; preparing an e-portfolio of AI-supported instructional materials.
Course Methods and Techniques The course is conducted face-to-face in a computer laboratory with a hands-on approach; the maximum number of students is 28. Demonstration and practice, discussion, lecture, question-answer and case study methods are used, and in-group discussions are included. In line with the blended learning approach, the course is supported by online materials; therefore, students are required to prepare for each topic before class.
Prerequisites and co-requisities None
Course Coordinator Asist Prof.Dr. Zeliha Damla KALYENCİ zdamla.kalyenci@hku.edu.tr
Name of Lecturers Asist Prof.Dr. Zeliha Damla KALYENCİ zdamla.kalyenci@hku.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Nabiyev, V. & Erümit, A. K. (2020). Artificial Intelligence in Education: From Theory to Practice [Eğitimde Yapay Zekâ: Kuramdan Uygulamaya]. Pegem Akademi. (Main textbook)
Holmes, W., Bialik, M. & Fadel, C. (2023). Artificial Intelligence in Education. Globethics Publications.
du Boulay, B., Mitrovic, A. & Yacef, K. (Eds.). (2023). Handbook of Artificial Intelligence in Education. Edward Elgar Publishing.
Miller, M. (2023). AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future. Dave Burgess Consulting, Inc.
Course Notes The course textbook and supplementary resources will be used. A virtual classroom will be created on Google Classroom to share resources, announcements and materials and to ensure continuous interaction and feedback. Tasks and assignments for the course will be posted in this virtual classroom, and students are expected to submit their assignments through this platform.
Documents Ders kaynak kitabı, yardımcı kaynaklar ve Google Classroom sanal sınıfında paylaşılan materyaller.
Assignments Haftalık etkinlik görevleri ve e-portfolyo Google Classroom üzerinden teslim edilir.
Exams 1 ara sınav; yarıyıl sonu değerlendirmesi e-portfolyo sunumu ile yapılır.

Course Category
Mathematics and Basic Sciences %0
Engineering %0
Engineering Design %0
Social Sciences %0
Education %100
Science %0
Health %0
Field %0

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 14 2 28
Assignments 6 4 24
Mid-terms 1 10 10
Project 1 20 20
Final examination 1 10 10
Total Work Load   Number of ECTS Credits 4 120

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Bilgi 
1 Recognizes artificial intelligence technology.
2 Comprehends the place and importance of artificial intelligence technology in learning and teaching.
Beceri 
3 Uses artificial intelligence technology in line with the needs and settings of learning and teaching.
Yetkinlik 
4 Designs instruction in early childhood education using artificial intelligence technology.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Course Syllabus and Introduction Activity: Creating a virtual classroom via Google Classroom and adding members; forming groups and selecting group leaders Course syllabus; Google Classroom virtual classroom
2 Artificial Intelligence Technology – Basic Concepts Activity: Reinforcing basic concepts through AI-supported assessment Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
3 Historical Development of AI Technologies in Education Activity: Reinforcing basic concepts through AI-supported assessment Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
4 AI Technologies in Education: The place and importance of AI in learning-teaching processes Activity: In-group discussion Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
5 AI Applications in Education I: Creating learning content – chatbots Activity: Writing basic prompts with chatbots Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
6 AI Applications in Education II: Creating learning content – chatbots Activity: Producing content for learning needs with chatbots Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
7 AI Applications in Education III: Creating learning content – chatbots Activity: Using chatbot-generated content in early childhood education Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
8 Midterm Exam: Covering the topics of weeks 1-7 Exam week -
9 AI Applications in Education IV: Using audio-visual materials in teaching Activity: Basic use of text-to-speech, text-to-image and text-to-video tools Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
10 AI Applications in Education V: Using audio-visual materials in teaching Activity: Using text-to-speech, text-to-image and text-to-video tools in early childhood education Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
11 AI Applications in Education VI: Feedback-help-support applications Activity: Using virtual assistant applications in early childhood education Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
12 AI Applications in Education VII: AI-supported measurement and evaluation Activity: Basic use of AI-supported assessment applications Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
13 AI Applications in Education VIII: AI-supported measurement and evaluation Activity: Using AI-supported assessment applications in early childhood education Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
14 Presentation and Evaluation of E-Portfolios Activity: Presentation and evaluation of in-group e-portfolios Materials shared in the Google Classroom virtual classroom
15 General Evaluation: Holistic evaluation of the AI applications examined during the semester; final revisions of e-portfolios None Nabiyev & Erümit (2020) main textbook; materials shared in the Google Classroom virtual classroom
16 Final Exam: Presentation of the e-portfolio containing AI-supported instructional materials Final exam week -

 
Sustainable Development Goals
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14
All 3 3 4 3 4 3 5 2 2 2 4 3 2 3
In1 1 2 4 1 2 2 4 1 1 1 4 2 1 2
In2 2 3 5 2 3 3 4 1 1 1 4 2 1 3
Sk3 3 4 4 4 4 3 5 3 3 2 3 3 2 3
Co4 4 4 3 5 5 3 5 4 4 2 3 4 2 3

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant