Ph.D. Program in Learning Sciences
Head of Program: Hakan Akçay (Mathematics and Science Education)
Executive Committee: Yavuz Akpınar (Computer Education & Educational Technology), Diler Öner (Computer Education & Educational Technology), Zeynep Berna Erdiller (Preschool Education), Devrim Güven (Mathematics and Science Education)
Professors:Diler Öner (Computer Education & Educational Technology), Ebru Kaya (Mathematics and Science Education), Yavuz Akpınar (Computer Education & Educational Technology)
Associate Professors: Ebru Z. Muğaloğlu (Mathematics and Science Education), Engin Ader (Mathematics and Science Education), Ersoy Erdemir (Preschool Education), Günizi Kartal (Computer Education & Educational Technology), Mine Göl-Güven (Preschool Education), Serkan Arıkan (Mathematics and Science Education), Serkan Özel (Mathematics and Science Education), Zeynep Berna Erdiller (Preschool Education)
Assistant Professors: Aysegül Metindoğan (Preschool Education), Devrim Güven (Mathematics and Science Education), Duygu Umutlu (Computer Education & Educational Technology), Gaye Defne Ceyhan (Mathematics and Science Education), Mutlu Şen Akbulut (Computer Education & Educational Technology), Oğuz Ak (Computer Education & Educational Technology)
DOCTOR OF PHILOSOPHY PROGRAM
The PhD program in learning sciences comprises a minimum of 29 credits of coursework, a non-credit graduate seminar in learning sciences, and a thesis. The coursework consists of 2 major required (LS 601 and LS 650), a directed readings course, and 7 elective courses. The program offers courses in four major categories: learning and cognition, methodology, design, and socio-cultural context. Students must complete five area elective courses in the specified categories as well as two additional free elective courses. Free elective courses may be chosen from among the courses offered by the program or by other programs in the university, subject to the approval of the advisor. Students with an MA, MEd, MPhil, or MSc degree can apply for the program.
Ph.D. PROGRAM IN LEARNING SCIENCES
| First Semester | Cr. | ECTS | |
| LS 601 | Foundations of Learning Sciences | 3 | 10 |
| LS 650 | Advanced Quantitative Research in Learning Sciences | 4 | 10 |
| LS -- | Area Elective: Methodology | 3 | 10 |
| LS -- | Area Elective: Socio-cultural context | 3 | 10 |
| 13 | 40 | ||
| Second Semester | Cr. | ECTS | |
| LS 670 | Directed Readings in Learning Sciences | 1 | 6 |
| LS -- | Area Elective: Methodology | 3 | 10 |
| LS -- | Area Elective | 3 | 10 |
| LS -- | Ares Elective: Design | 3 | 10 |
| -- -- | Elective | 3 | 7 |
| LS 700 | Graduate Seminar | 0 | 2 |
| 13 | 45 | ||
| Cr. | ECTS | ||
| LS 790 | PhD Thesis | 0 | 120 |
| --- | Qualifying Exam | 0 | 30 |
| --- | Thesis Proposal | 0 | 30 |
| TOTAL | 0 | 180 | |
Total Credits: 26 Credits
Total ECTS: 265 Credits
Remedial Program
Candidates who have not taken at least one course from each of the following categories during their undergraduate or graduate studies are required to complete at least one course from each category before being officially admitted to the PhD.
Category 1: Educational Psychology/Learning/Cognitive Psychology (e.g., ED 211, PRED 503, PSY 222, PSY 228)
Category 2: Curriculum Development and Instruction (e.g., ED 282, PRED 211, CET 282, SCED 544)
Category 3: Instructional Materials Development (e.g., CET 360, CET 542)
Category 4: Measurement and Assessment in Educational and Behavioral Sciences (e.g., ED 373, PRED 470, SCED 370, PSY 362)
Category 5: Quantitative Research in Social Sciences (e.g., PRED 460, PRED 501, CET 401, CET 561)
Qualifying Exams
PhD students are required to take their qualifying exams by the end of registration week of the semester following completion of the coursework. If the students want, the qualifying exams may be postponed one semester.
Electives
The following list provides a distribution of the elective courses in four major categories and other elective courses to be offered by the program. Students are required to take at least one course from each category and one more course as an area elective, depending on the area of their interest. Two free elective courses shall also be selected from the list as well as from among the courses offered by the program or other programs in the university, subject to approval of the advisor.
List of Area Electives:
Methodology Courses
LS 611 Design-Based Research in Learning Sciences
LS 615 Qualitative Research Methods
LS 619 Applied Advanced Statistics
LS 623 Assessment of Technology Integration in Pedagogical Structures
LS 627 Advanced Assessment in Learning Sciences
LS 631 Learning Analytics
LS 635 Methods of Child Study
LS 639 Networks in Education
Learning and Cognition Courses
LS 641 Educational Technology and Cognitive Science
LS 645 Self-Regulation in Learning
LS 649 Computer-Supported Collaborative Learning
LS 653 Theoretical Foundations of Learning with Technology
LS 657 Reading Acquisition and Processes
LS 661 Reading Difficulties and Dyslexia
LS 665 Informal Learning
LS 669 Argumentation and Learning Sciences
Design Courses
LS 612 Design of Interactive Learning Environments
LS 616 Design and Implementation of Learning Systems
LS 624 Design of Educational Games
LS 625 Design of Science Learning Environments
LS 628 Design of Learning Environments in Early Childhood Education
LS 632 Teacher Professional Development Research in Learning Sciences
Socio-cultural Context Courses
LS 652 Equity and Diversity in Educational Practice
LS 656 Instructional Policies
LS 658 Educational Policies
LS 662 Theoretical Foundations of Curriculum and Practice
LS 668 Science, Literacy, and Technology
