Kocaeli University / European Credit Transfer System (ECTS)

Name of Lecturer(s)

Associate Prof. Dr. Funda DAĞ

Learning Outcomes of the Course Unit
Program Competencies-Learning Outcomes Relation

Learning Outcomes of the Course Unit

1) To explain the historical process of technology-based learning environments.
2) To explain the relationship between hyper-satellite technologies and technology-supported learning environments.
3) To explain adaptive learning.
4) To explain adaptive learning methods and techniques.
5) To explain adaptive learning systems and their properties.
6) To explain intelligent learning systems and their properties.
7) To explain intelligent and adaptive learning systems and their properties.
8) To explain the components of technology-based learning environments and the characteristics of the components.
9) To explain evaluation in technology-based learning environments.
10) To explain the developments in the field of artificial intelligence in education (Agent-based approaches, the effects of Web 3.0 technology, current research in the field).
11) Discusses current developments in technology-based learning environments.

Program Competencies-Learning Outcomes Relation

		Program Competencies
		1	2	3	4	5	6	7	8	9	10
Learning Outcomes
	1	No relation	Middle	Low	Middle	Middle	Low	No relation	Low	No relation	Low
	2	No relation	Middle	Low	Middle	Middle	Low	No relation	Low	No relation	Low
	3	No relation	High	Low	Middle	High	Low	No relation	No relation	No relation	No relation
	4	No relation	High	Low	Middle	High	Low	No relation	No relation	No relation	No relation
	5	No relation	Middle	Low	Middle	High	Low	No relation	No relation	No relation	No relation
	6	No relation	Low	Middle	Middle	High	Low	No relation	No relation	No relation	No relation
	7	No relation	Low	Middle	Middle	High	Low	No relation	No relation	No relation	No relation
	8	Middle	Middle	Low	Middle	High	Low	No relation	No relation	No relation	No relation
	9	No relation	Low	Middle	Middle	High	No relation	No relation	No relation	No relation	No relation
	10	Low	Middle	Middle	No relation	High	High	Middle	Middle	No relation	No relation
	11	Low	High	Middle	Middle	High	High	Middle	Middle	High	Middle

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Artificial Intelligence in Education

Course Contents

Theoretical foundations of technology-based learning, learning environments analysis, hypermedia and adaptation, adaptive learning systems, intelligent learning systems, intelligent and adaptive learning systems, content adaptation techniques, analysis of learner needs, user model and cognitive styles, adaptation of instruction and instructional model, educational approaches in design, development, implementation, and evaluation of technology-based learning environments.

Weekly Schedule

1) informing about course content
2) Technology based learning environments analysis (tutorial, practice-oriented, simulation-based, etc.)
3) History of Technology Based Learning Environments
4) Hypermedia and its effect on learning environments
5) Adaptive Learning
6) Adaptation Methods and Techniques
7) Adaptive Learning Systems and examples
8) MIDTERM EXAM
9) Intelligent learning systems and examples
10) Intelligent and adaptive learning systems and types
11) Student / Learner model
12) Relationship between Cognitive Styles and technology-based learning environments
13) Approaches to evaluating of technology-based learning environments
14) Developments in artificial intelligence in education (Agent-based approaches, effects of Web 3.0 and Web 4.0 technologies, current research in the field)
15) Developments in artificial intelligence in education (Agent-based approaches, effects of Web 3.0 and Web 4.0 technologies, current research in the field)
16) FINAL EXAM

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Brain Storming
5) Case Study
6) Self Study
7) Project Based Learning

Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

50%

		Number	Percentage
Semester Studies	Midterm Examination	1	50%
Semester Studies	Quiz	1	50%

Contribution of Final Examination to Course Grade

50%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required

Course Unit Title	Course Unit Code	Type of Course Unit	Level of Course Unit	Year of Study	Semester	ECTS Credits
Technology Based Learning Environments	BTE512	Elective	Master's degree	1	Spring	7