1. Introduction: overview of the course, introduction to quantitative research in education, readings, and course expectations. (Lecture)


2. Why quantitative research matters in educational studies: foundations, assumptions, and research questions. (Lecture)


3. Reading and critiquing published quantitative studies in education. (Group Discussion)


4. Descriptive and inferential statistics: concepts and applications in educational contexts. (Workshop)


5. Regression analysis and interpretation: making sense of data in educational research. (Workshop)


6. Using statistical software for basic analysis (e.g., SPSS). (Workshop)


7. Small group consultation and feedback on data interpretation and research questions. (Workshop)


8. Group presentations and final reflection discussion. (Presentation + Discussion)

Requirements

1. Group Presentation: Work in small groups to apply quantitative methods to an educational issue and present your analysis and findings.


2. Reflective Notes and Oral Sharing: Write a short reflective note on your learning experience and methodological insights; share key takeaways orally during the final session.

[本課程為國際課程採密集授課形式，故無16週課程進度安排。上課時間2025/12/15-12/19，合併共計36小時。上課地點：韓國高麗大學。授課教師: Prof. Sangmin Lee]

姓名: 劉恩羽

信箱: 113152512@g.nccu.edu.tw

Assignment (30%)

Reflective Notes (40%)

Final Report (30%)

Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.

 Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.

 Muijs, D. (2010). Doing quantitative research in education with SPSS. Sage.