EDT5001 Educational Technology Field, Theory and ProfessionBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
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
EDT5001 Educational Technology Field, Theory and Profession Spring 3 0 3 8
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: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi YAVUZ SAMUR
Course Lecturer(s): Dr. Öğr. Üyesi YAVUZ SAMUR
Dr. Öğr. Üyesi ENİSA MEDE
Recommended Optional Program Components: None
Course Objectives: The course provides you with the foundational and working knowledge necessary to initiate steps toward becoming a professional in the field of educational technology. You will explore different aspects of the field, including the assets, opportunities and career paths in educational technology.

Learning Outcomes

The students who have succeeded in this course;
When successfully complete the course, students will be able to:
• describe the history and foundations of the field
• relate learning technologies to learning theories
• define educational technology and distinguish among its components and related fields (e.g., information technology, instructional design, knowledge representation, human performance technologies)
• initiate steps toward becoming a professional in the field of educational technology
• Discuss learner and learning environment characteristics and relate those with potential application of educational technologies
• Design a (for an information technology based lesson) storyboard for a given a set of learning problems, and discuss the components of the interface in relation to major learning theories.
• Construct arguments over technology use in solving a learning problem

Course Content

The evolution of technology; the concept of education; technology and education-society-economy relations; the relationship between education and informatics; educational technology as a discipline; theories, concepts and principles in educational technology; the historical development of educational technology and its future; learning theories applied to any learning issue and problem

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Schooling and technology
2) Education as system and place of educational technology as a component
3) Major learning theories and relations with educational technology
4) Technology applications in learning environments (i.e., conventional and emerging tools and mediums)
5) Technology applications in learning environments (i.e., tutorials, simulations, microworlds, ITSs)
6) Learning problems and learning environments
7) Learning environments and interaction design
8) Components of Instructional design
9) Instructional design models
10) Educational technology research examples_1
11) Educational technology research examples_2
12) Educational technology research examples_3
13) Creating technology based learning environments
14) Assesment and evaluation in technology based learning environments

Sources

Course Notes / Textbooks: -
References: -

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Project 2 % 50
Midterms 1 % 20
Final 1 % 30
Total % 100
PERCENTAGE OF SEMESTER WORK % 20
PERCENTAGE OF FINAL WORK % 80
Total % 100

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) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4) Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12) Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.