Hiroshima University Syllabus

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Japanese
Academic Year 2025Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course) Division of Educational Sciences Education Data Science Program
Lecture Code WNF15006 Subject Classification Specialized Education
Subject Name 特別研究
Subject Name
(Katakana)
Subject Name in
English
Special Study
Instructor HASHIMOTO JUNYA
Instructor
(Katakana)
ハシモト ジュンヤ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Tues5-6:Faculty Office
Lesson Style Seminar Lesson Style
(More Details)
Face-to-face
 
Credits 1.0 Class Hours/Week 2 Language of Instruction J : Japanese
Course Level 6 : Graduate Advanced
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 06 : Psychology
Eligible Students Education data science program
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
Students will acquire the necessary specialist knowledge and research methods in order to carry out research related to educational data science. Specifically, they will learn about the overview of previous research, setting research questions, planning research, setting research methods, collecting data, analyzing data, interpreting results, etc., and acquire the knowledge and skills necessary for writing papers. In particular, research guidance will be provided from a psychological perspective. 
Class Schedule lesson1 Select a research theme
lesson2 Literature retrieval
lesson3 Literature reading
lesson4 Literature presentation
lesson5 Research purposes consideration
lesson6 Planning research purposes
lesson7 Research purposes presentation
lesson8 Research methods consideration
lesson9 Planning research methods
lesson10 Research methods presentation
lesson11 data collection
lesson12 data analysis
lesson13 Preparing to present research results
lesson14 Present research results
lesson15 Summary 
Text/Reference
Books,etc.
Reference books to be introduced in the class. 
PC or AV used in
Class,etc.
(More Details)  
Learning techniques to be incorporated
Suggestions on
Preparation and
Review
Students should take the initiative to carry out research based on their own interests.
 
Requirements  
Grading Method Students will be evaluated based on their overall contribution to presentations and discussions. 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other   
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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