Akademik Dersler - Tanıtım

Last Updated: 02/06/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
HÖY513 - Intelligent and Adaptive Learning Systems in Adult Education	I. SEMESTER	3 +0	6.0

Language of Instruction	Türkçe
Course Type	Elective Courses
Course Instructor(s)	PROF. DR. HIDIR KARADUMAN
Mode of Delivery	The course is delivered through a blended learning approach combining face-to-face and online learning activities. Lectures, class discussions, case analyses, digital tool reviews, practical activities, and project-based work constitute the main teaching methods.
Place of Delivery
Used Educational Platforms
Prerequisites	There are no compulsory prerequisites or co-requisites for this course. However, students are recommended to have basic knowledge of adult education, educational technologies, instructional design, or research methods.
Courses Recomended	It is recommended that students take courses such as Adult Learning Theories, Educational Technologies, Instructional Design, Open and Distance Learning, Artificial Intelligence in Education, Learning Analytics, and Measurement and Evaluation in Education before or alongside this course.
Recommended Resources	The course draws on key and current resources related to adult learning, intelligent tutoring systems, adaptive learning, learning analytics, AI-supported education, and ethical issues. Students are expected to read the assigned academic articles, book chapters, and reports each week before class.
Work Placement	There is no compulsory work placement for this course.
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Introduction to the course; adult education, lifelong learning, and intelligent learning systems.
Week - 2		Characteristics of adult learners and personalized learning needs.
Week - 3		Basic concepts related to intelligent and adaptive learning systems.
Week - 4		Adaptive learning approaches and models.
Week - 5		Learner modeling and learner profiling.
Week - 6		Learning analytics and the use of learner data.
Week - 7		Artificial intelligence-based learning systems and their applications in education.
Week - 8		General review and evaluation.
Week - 9		Intelligent feedback and learner support mechanisms.
Week - 10		Adaptation of learning pathways and personalized learning design.
Week - 11		Technology-supported instructional design and learning environments for adult education.
Week - 12		Ethics, privacy, data security, and responsible use of artificial intelligence.
Week - 13		Development activities for intelligent and adaptive learning applications.
Week - 14		Project presentations and overall course evaluation.

No content has been provided.

No content has been provided.

No content has been provided.

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)