MATHEMATICS
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	Fall	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)	To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics
2)	To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods,
3)	To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials,
4)	To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself,	4
5)	To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way,
6)	To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level,
7)	To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8)	To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense,	4
9)	By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere,
10)	To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning,
11)	To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school,
12)	To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively.