| EDUCATIONAL DESIGN AND EVALUATION (TURKISH, THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| CNG5002 | Qualitative Research Methods | Fall Spring |
3 | 0 | 3 | 8 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | Tr |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. ARZU BUYRUK GENÇ |
| Course Lecturer(s): |
Assist. Prof. BETÜL TARHAN ALKAN Assist. Prof. SABİHA DULAY |
| Course Objectives: | The aim of the course is to acquire basic knowledge and skills for qualitative research that can be carried out in various situations. |
|
The students who have succeeded in this course; Students who are able to complete this course successfully; 1) Define qualitative research method 2) Define the ethical principles of a qualitative research 3) Know interdisciplinary working methods in a qualitative research 4) Using a qualitative research hypothesis, use data accumulation and analysis 5) Comments on qualitative data |
| How qualitative studies are designed; qualitative approaches to research design (Story Analysis, Narrative, Theory Building, Culture Analysis, Case Study, Action Research); qualitative data collection and analysis; validity and reliability; reporting of the research; ethics in qualitative research. Teaching Methods and Techniques Used in the Course -Case Study -Technology Assisted Learning -Reading -Simulation -Individual Study -Cooperative Learning |
| Week | Subject | Related Preparation | |
| 1) | Course objectives, basic principles, guidelines | ||
| 2) | Basic transformations in scientific research methods | ||
| 3) | The place of qualitative research in the scientific research tradition | ||
| 4) | Qualitative research designs | ||
| 5) | Qualitative research process, ethics and sampling | ||
| 6) | Interview and focus group discussion | ||
| 7) | Qualitative data analysis | ||
| 8) | Qualitative data analysis | ||
| 9) | Midterm | ||
| 10) | Validity, reliability, case study | ||
| 11) | Common errors in mixed method and qualitative research | ||
| 12) | Presentations | ||
| 13) | Student presentations | ||
| 14) | Student presentations | ||
| Course Notes: | Creswell, J.W. (2013) Nitel araştırma yöntemleri: Beş yaklaşıma göre nitel araştırma ve araştırma deseni (3. Baskıdan Çeviri, Çev. Ed. Bütün, M. ve Demir, S. B.). Ankara: Siyasal Kitabevi Yıldırım, A. & Şimşek, H. (2013). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. 9. Baskı. Ankara: Seçkin Yayıncılık. |
| References: | Glesne, C. (2013) Nitel araştırmaya giriş. 2. Baskı (Çev. Ed. Ersoy, E & Yalçınoğlu, P.) Ankara: Anı Yayıncılık. Merriam, S. B. (2013) Nitel araştırma: Desen ve uygulama için bir rehber (3. Basımdan Çeviri, Çev. Ed. Turan, S.). Ankara: Nobel American Psychological Association-APA. (2012). Publication manual of the American Psychological Association (6th Ed.). Washington, DC: American Psychological Association. Balcı, A. (2000). Sosyal bilimlerde araştırma: yöntem, teknik ve ilkeler. Ankara: Pegem Akademi Yayınları. Baş, T. ve Akturan, A. (2013). Nitel araştırma Yöntemleri: Nvivo ile nitel veri analizi. Ankara: Seçkin Yayıncılık. Karasar, N. (2002). Bilimsel araştırma yöntemi. Ankara: Nobel Yayınları. Patton, M. Q. (2014). Nitel araştırma ve değerlendirme yöntemleri. (3. Baskıdan Çeviri, Çev. Ed. Bütün, M. ve Demir, S. B.). Ankara: Pegem Akademi |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 14 | % 20 |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | % 0 | |
| Homework Assignments | % 0 | |
| Presentation | 1 | % 20 |
| Project | % 0 | |
| Seminar | % 0 | |
| Midterms | 1 | % 25 |
| Preliminary Jury | % 0 | |
| Final | 1 | % 35 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 65 | |
| PERCENTAGE OF FINAL WORK | % 35 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 10 | 140 |
| Presentations / Seminar | 1 | 5 | 5 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 0 | 0 | 0 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 1 | 3 | 3 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 3 | 3 |
| Total Workload | 193 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Can develop effective teaching processes by using design principles in learning and teaching | |
| 2) | Can create innovative educational environments by analyzing theories and models related to learning systems design. | |
| 3) | Can develop valid and reliable measurement tools by grounding assessment and evaluation processes in education on scientific principles. | |
| 4) | Can generate evidence-based solutions by conducting design and action research to support educational change. | |
| 5) | Can evaluate new approaches and integrate them into practice by following current educational design research. | |
| 6) | Can analyze assessment and evaluation methods in education to select and apply appropriate models. | |
| 7) | Can analyze computer-based exam systems to develop technology-based assessment processes. | |
| 8) | Can conduct comprehensive analyses by using multivariate research methods in educational evaluations. | |
| 9) | Can develop and implement appropriate measurement tools to assess cognitive, affective, and psychomotor skills. | |
| 10) | Can gain a critical perspective on national and international educational measurement and evaluation by examining current developments. | |
| 11) | Can manage instructional design and learning design processes to enhance the effectiveness of educational programs. | |
| 12) | Can improve assessment and evaluation processes by utilizing data analytics and research techniques in education. | |
| 13) | Can develop unique solutions for educational policies and learning systems by employing interdisciplinary approaches. | |
| 14) | Can develop inclusive assessment and evaluation applications by adhering to ethical and fair evaluation principles in education. | |
| 15) | Can conduct an original thesis study in the field of educational design and evaluation by using scientific research methods. | |
| 16) | Can contribute to the field of education by sharing research findings on academic and professional platforms. |