COMPUTER EDUCATION AND INSTRUCTIONAL TECHNOLOGIES
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
CET4112	Artificial Intelligence Practices in Education	Fall Spring	2	0	2	4

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Assist. Prof. SEZİN EŞFER ÖNDÜNÇ
Recommended Optional Program Components:	NON
Course Objectives:	The purpose of this course is to introduce the fundamentals and types of artificial intelligent, expert systems, machine learning, big educational data, learning analytics, designing of adaptive learning systems, designing of adaptive testing systems, designing of recommender systems, designing of decision-support systems.

Learning Outcomes

The students who have succeeded in this course;
Describes relation between intelligence and artificial intelligence
Describes components of artificial intelligence
Defining data sources of artificial intelligence
Designing a expert system in education
Developing algorithms of artificial intelligence
Apply the methods of machine learning
Describes educational big data
Designing learning analytics

Course Content

Intelligence and its properties, basics of artificial intelligence (AI), history of AI; current status of AI and using of AI in education; expert systems (ES); using ES in education, component of ES, designing of ES, recommender systems, decision-support systems, intelligent tutoring systems; educational big data; learning analytics, pedagogical agents; adaptive learning systems, adaptive testing systems.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Intelligence and artificial intelligence: Basic concepts
2)	History of artificial intelligence
3)	Components, and types of artificial intelligence
4)	Expert systems
5)	Machine learning
6)	Algorithm of artificial intelligence (classification)
7)	Algorithm of artificial intelligence (prediction)
8)	Midterm
9)	Algorithm of artificial intelligence (description)
10)	Recommender, and decision-support systems
11)	Educational big data
12)	Learning analytics
13)	Applications of pedagogical agents
14)	Adaptive learning systems

Sources

Course Notes / Textbooks:

Ders Kitapları: ElAtia, S., & Ipperciel, D. (Eds.). (2016). Data mining and learning analytics: applications in educational research. John Wiley & Sons.
Forbus, K. D., & Feltovich, P. J. (2001). Smart machines in education: the coming revolution in educational technology. MIT Press.
Looi, C. K., McCalla, G., & Bredeweg, B. (Eds.). (2005). Artificial intelligence in education: supporting learning through intelligent and socially informed technology (Vol. 125). IOS Press.
Montebello, M. (2018). AI Injected e-Learning. Springer.

References:

YOK

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 5
Homework Assignments	4	% 10
Project	2	% 15
Midterms	1	% 20
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 35
PERCENTAGE OF FINAL WORK		% 65
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Project	2	15	30
Homework Assignments	4	2	8
Midterms	1	10	10
Final	1	25	25
Total Workload			101

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To define concepts related to the latest knowledge, tools and other scientific resources for the teaching profession, educational technology and information technologies in terms of national and international standards.
2)	To explain the main elements of teaching strategies, methods and techniques, material design and assessment and evaluation processes that affect the development of educational technology integration.
3)	To develop competencies related to software languages, operating systems, computer networks and computer hardware.
4)	To use the most appropriate curriculum frameworks to plan lessons and activities based on active and student-centered learning integrated with technology.
5)	To plan, implement and evaluate classroom activities that utilize cutting-edge technologies to foster creativity, problem solving and critical thinking using scientific methods.
6)	To build strong theoretical and applied models to develop solutions to problems that focus on systems and human development within a learning organization.
7)	To review, evaluate and recommend strategies for technology integration based on the interests, needs, individual differences and developmental characteristics of students in primary and secondary education.
8)	To work individually and collaboratively in a team to carry out activities related to educational technology, information technology and the teaching profession in an interdisciplinary approach.
9)	To effectively use and evaluate educational technologies and appropriately designed instructional models as a means of achieving and meeting learning objectives and requirements.
10)	To utilize effective metacognitive techniques to make the classroom a community of learners engaged in lifelong learning activities.
11)	To prepare trainings and projects related to educational technology for the community and to provide counseling to individuals in enhancing learning through the appropriate use of technology.
12)	To implement cost and time sensitive strategies to support individuals and organizations to carry out their work more effectively.
13)	To equip teachers to be pioneers and models in the application of technology for educational purposes using ethical and legal standards and to keep pace with changing technology.
14)	To investigate efficient design solutions and existing standards used today for educational technologies, curricula, innovations and outcomes related to work, school, education sector and virtual world.
15)	To gain fluency in interpersonal communication, teaching frameworks and the use of different technologies in relation to national norms and laws.