学部・大学院区分
Undergraduate / Graduate
開・博前
時間割コード
Registration Code
3051000
科目区分
Course Category
共通・基礎
Basic
科目名 【日本語】
Course Title
フィールドワーク入門
科目名 【英語】
Course Title
Introduction to Questionnaire Survey and Interview
コースナンバリングコード
Course Numbering Code
INT1L5100E
担当教員 【日本語】
Instructor
井戸 綾子 ○
担当教員 【英語】
Instructor
IDO Ayako ○
単位数
Credits
2
開講期・開講時間帯
Term / Day / Period
春 金曜日 1時限
Spring Fri 1
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
The main purpose of this course is to help students acquire the basic knowledge and skills needed for conducting questionnaire surveys and interviews during fieldwork. This course first introduces students to various social research methods (both quantitative and qualitative), and then provides them with hands-on experience of conducting a questionnaire survey and interviews (fieldwork). The course comprises lectures, discussions, a questionnaire development exercise, interview exercises, and group work for the fieldwork, presentation, and a report-writing.
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 the course, students will have
(1) gained the basic knowledge and skills to:
1) develop a questionnaire and an interview guide
2) conduct the questionnaire surveys and interviews
3) analyze the collected data
4) present the research findings
(2) understood the whole process of fieldwork
(3) gained hands-on experience of conducting a questionnaire survey and interviews
授業の内容や構成
Course Content / Plan
Session 1: Course introduction
Session 2: What is fieldwork?; Research designs (1) (lecture); Forming groups for practical fieldwork
Session 3: Research designs (2) (lecture); Group work
Session 4: Quantitative research methods; Questionnaire development (1) (lecture)
Session 5: Qualitative research methods (lecture)
Session 6: Questionnaire development (2) (lecture)
Session 7: Research data analysis; Report-writing of research results (lecture)
Session 8: Research data analysis exercises
Session 9: Exercises of interviews and developing a questionnaire (Group work)
Session 10: Procedures and preparation for fieldwork; Research ethics (lecture)
Session 11: Group work to prepare for practical fieldwork
Session 12: Fieldwork
Session 13: Fieldwork or research data analysis
Session 14: Group presentation and feedback (1)
Session 15: Group presentation and feedback (2); Course review
履修条件・関連する科目
Course Prerequisites and Related Courses
There is no precondition to take this course.
成績評価の方法と基準
Course Evaluation Method and Criteria
Grading will be based on:
Contribution to class discussions 20%
Individual short paper 10%
Group work assignments (research proposal, questionnaire, interview guide) 30%
Group presentation 20%
Group final report 20%
Credit is given to C-or C(where applicable) or higher grade for each criterion.
教科書・参考書
Textbook/Reference Book
・Reading materials will be provided by the course instructor.
・References will be introduced during the classes.
課外学習等(授業時間外学習の指示)
Study Load(Self-directed Learning Outside Course Hours)
・All participants must read the required reading materials before coming to each class.
・Although time is allocated for group work assignments during the class, students will need to do group work outside of the classroom as well.
注意事項
Notice for Students
・Enrollment limit is 40 students. Priority for course enrollment is given to first-year master’s students who plan to participate in Domestic Field Work (DFW) and/or Overseas Field Work (OFW).
・The course schedule may change depending on the number of students enrolled.
使用言語
Language(s) for Instruction & Discussion
This course will be conducted in English.
授業開講形態等
Lecture format, etc.
対⾯・遠隔(同時双方向型)の併⽤。遠隔授業は Teams、Zoom等で⾏う。
※履修登録後に授業形態等に変更がある場合には、NUCTの授業サイトで案内します。
Combination of face-to-face and remote (interactive communication class) classes. Remote classes are conducted via Teams, Zoom, etc.
*Guidance will be posted on NUCT if there are any changes in the class format, etc. after registration.
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)