Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Research Methods in Education MBZ207 Turkish Compulsory 3. Semester 2 + 0 2.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Dr. Öğr. Üyesi Hayriye Merve ERİŞ HASIRCI
Instructor(s) Dr. Öğr. Üyesi DÖNDÜ BAHAR ŞAHİN SARKIN (Güz)
Goals The aim of this course is to enable the students to learn how to conduct a scientific study by means of a small scale research work, as well as the theoretical knowledge about the concept of scientific research, the different principles, methods and stages of scientific research.
Course Content Basic concepts and principles related to research methods, research process, general characteristics of data collection tools, analysis and evaluation of data, access to articles, thesis and databases, research models and types, basic paradigms in scientific researches, quantitative and qualitative research designs, data collection, data analysis, validity and reliability in quantitative research, sample in qualitative research, data collection, data analysis, validity and reliability in qualitative research, article or thesis investigation, evaluation and presentation, research report preparation according to research principles and ethics, action research in education.
Learning Outcomes
# Öğrenme Kazanımı
1 Explain the basic concepts in scientific research.
2 List the steps of the research process.
3 Interprets the differences between quantitative and qualitative research.
4 Recognizes the ethical principles in the preparation of a research.
5 Prepares a research report in accordance with the principles of report preparation.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic concepts and principles of research methods Research
2. Week Basic paradigms in scientific research Research, Other Activities, Interview
3. Week Research models and types Research
4. Week Access to articles, theses and databases Research
5. Week Research process (recognizing the problem, identifying the problem and sample, collecting and analyzing data, interpreting the results) Research
6. Week General characteristics of data collection tools Research
7. Week Quantitative and qualitative research patterns Other Activities
8. Week Midterm exam
9. Week Sampling in quantitative research, data collection, data analysis Other Activities, Interview, Research
10. Week Validity and reliability in quantitative research Other Activities, Interview, Presentation (Preparation)
11. Week Sampling in qualitative research, data collection, data analysis Research
12. Week Validity and reliability in qualitative research Other Activities
13. Week Article or thesis review, evaluation and presentation Preparation, After Class Study, Other Activities, Research
14. Week Final
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
6 Is aware of the theoretical foundations (philosophical, sociological, psychological, historical, legal, economic, etc.) on which education is based and reflects these theories in their practices.
9 Designs and manages an effective and supportive learning environment based on learning and teaching theory, approach, strategy, methods, and instructional technologies in creating the learning-teaching process.
10 Follows the innovation, development, and 21st-century skills in the teaching profession and reflects these developments and skills to research and practice based on scientific principles.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY6 3 3 3 3 3
PY9 3 3 3 3 3
PY10 3 3 3 3 3
Recommended Sources
Ders Kitabı veya Notu
Diğer Kaynaklar
  • Yıldırım, A. ve Şimşek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. Ankara: Seçkin.
  • Büyüköztürk, Ş. (2011). Sosyal Bilimler İçin Veri Analizi El Kitabı. Ankara: PegemAkademi
  • Ural, A. ve Kılıç, İ. (2005). Bilimsel Araştırma Süreci ve SPSS ile Veri Analizi. Ankara: Detay
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 13 2 26
Ders Dışı
Preparation, After Class Study 6 3 18
Research 3 2 6
Other Activities 1 3 3
Sınavlar
Midterm 1 1 10 10
Homework 1 1 3.5 3.5
Final 1 10 10
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0