学部・大学院区分
Undergraduate / Graduate		開・博前
時間割コード
Registration Code		3063500
科目区分
Course Category		専門・プログラム
Program
科目名　【日本語】
Course Title		教育と人材開発特殊講義B（教育研究における混合研究法）
科目名　【英語】
Course Title		Special Lecture on Education and Human Resource Development B（Introduction to mixed methods research design in educatio
コースナンバリングコード
Course Numbering Code		INT2L6350E
担当教員　【日本語】
Instructor		芦田 明美 ○
担当教員　【英語】
Instructor		ASHIDA Akemi ○
単位数
Credits		2
開講期・開講時間帯
Term / Day / Period		秋集中 その他 その他
Intensive(Fall) Other Other
授業形態
Course style		講義
Lecture


授業の目的　【日本語】
Goals of the Course(JPN)
授業の目的　【英語】
Goals of the Course
This course intends to provide students with an understanding of mixed-methods research, integrating qualitative and quantitative approaches. It covers the foundations of mixed-methods research, research design, data collection, and data analysis of mixed-methods studies. Drawing upon real-world examples and hands-on experience from the field, the course is designed to equip graduate students with the knowledge and skills to conduct robust mixed-methods research in social science with a special focus on educational development.

到達目標　【日本語】
Objectives of the Course(JPN)
到達目標　【英語】
Objectives of the Course
By the end of this course, students will be able to:
- Understand the rationales for using mixed-methods research.
- Design and implement mixed-methods research addressing complex research questions.
- Apply qualitative and quantitative data collection and analysis techniques.
- Develop a research proposal incorporating mixed-methods approach.
授業の内容や構成
Course Content / Plan
1. Introduction: Overview of mixed methods research in education development (Wed. 3 Oct.)
2. Research Design and Approach in Mixed Methods (Wed 3 Oct)
3. Types of Mixed Methods Designs: Convergent parallel design, explanatory sequential design, exploratory sequential design (Wed. 9 Oct.)
4. Developing Research Questions (Wed. 9 Oct.)
5. Data Collection Methods (Qualitative): Key Information Interview (KII), In-depth Interview (IDI), Focus Group Interview (FGD). (Wed 16 Oct.)
6. Data Collection Methods (Quantitative): Survey and secondary data (Wed 16 Oct)
7. Data Analysis Methods (Qualitative): Coding and thematic analysis (Wed 30 Oct)
8. Data Analysis Methods (Quantitative: Descriptive and inferential statistics (Wed. 30 Oct)
9. Integrating Qualitative and Quantitative Data (Wed 6 Nov)
10. Critiquing Mixed Methods Research: Evaluating quality and rigor (Wed 13 Nov)
11. Practical Applications: Applying mixed methods in education research (Wed 13 Nov)
12. Developing Research Proposal 1 (Wed. 20 Nov)
13. Developing Research Proposal 2 (Wed. 20 Nov)
14. Presentations (11 Dec)
15. Presentations and Course Wrap-Up (11 Dec)
履修条件・関連する科目
Course Prerequisites and Related Courses
There is no pre-condition to take this course.
成績評価の方法と基準
Course Evaluation Method and Criteria
- The evaluation is based on class participation (20%), presentation (30%) and final report (50%).
- Credit is given to C- or C (where applicable) or higher grade for each criterion.
教科書・参考書
Textbook/Reference Book
No specific textbook will be required for this course. Lecture materials will be provided.
課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours)
Students are expected to prepare for presentation and report at the end of the course. Additional reading materials will be provided if necessary.
注意事項
Notice for Students
使用言語
Language(s) for Instruction & Discussion
English
授業開講形態等
Lecture format, etc.
Classes will be held in-person.
遠隔授業（オンデマンド型）で行う場合の追加措置
Additional measures for remote class (on-demand class)