EDT5008 Advanced Instructional DesignBahçeşehir UniversityDegree Programs ELECTRICAL AND ELECTRONICS ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ELECTRICAL AND ELECTRONICS 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
EDT5008 Advanced Instructional Design Spring 3 0 3 12
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 : Prof. Dr. TUFAN ADIGÜZEL
Recommended Optional Program Components: None
Course Objectives: The overall course objectives are to:
-Identify factors that must be incorporated into instructional design processes and products to be consistent with various learning theories (such as behaviorism, Gagne’s theory of instruction, constructivism, motivational theory…etc.)
-Analyze a design problem based on various theories.
-Analyze instructional materials to identify characteristics representative of particular theories.
-Apply the Rapid-prototyping strategy.

Learning Outcomes

The students who have succeeded in this course;
1. to be able to discuss basic assumptions, concepts, and principles of different paradigms of learning, including foundational theories, behavioral psychology, cognitive information processing, developmental theories, motivational theory, and theories of instruction.
2. to be able to compare and contrast theories within and across paradigms for strengths, weaknesses, and applicability
3. to be able to determine the implications of theory for instructional design
4. to be able to formulate and revise personal theories of learning and determine implications
5. to be able to articulate changes in personal epistemology over the course
6. to be able to analyze a design problem based on various theories
7. to be able to identify factors that must be incorporated into instructional design processes and products to be consistent with selected theory
8. to be able to analyze current instructional design model to determine which models are most consistent with which theories.
9. to be able to use rapid-prototyping as a method in instructional design


Course Content

Bu ders öğretimsel tasarımda temel öğrenme teorilerinin (Davranışçı yaklaşım, sistem teorisi, iletişim teorisi, öğrenme teorileri, & öğretim teorileri) uygulamalı olarak teknoloji temelli öğrenme materyallerinde incelenmesini ve kullanılmasını amaçlamaktadır.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to course and overview
2) Introduction to the learning theories
3) Gagne’s Nine Event of Instruction & Davranışçı Yaklaşım
4) Presentations on Behaviorism
5) Cognitive Information Processing
6) Presentations on Cognitive Information Processing
7) Meaningful Learning & Schema Theory
8) Presentations on Meaningful Learning & Schema Theory
9) Constructivism
10) Presentations on Constructivism
11) Rapid prototyping
12) Presentations on Rapid Prototyping
13) Motivational Theory
14) Presentations on Motivational Theory

Sources

Course Notes / Textbooks: Driscoll, M. P. (2004). Psychology of Learning for Instruction. 3rd Edition. Boston: Allyn & Bacon.
Ertmer & Quinn. (2007). The ID Casebook: Case Studies in Instructional Design. 3rd ed/
Pearson.
References: -

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Homework Assignments 2 % 20
Presentation 6 % 30
Project 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Presentations / Seminar 6 10 60
Project 1 60 60
Homework Assignments 1 30 30
Total Workload 192

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) Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.