WNF13000 DX in Lifelong Learning

Hiroshima University Syllabus

Japanese

Academic Year 2026Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course) Division of Educational Sciences Education Data Science Program

Lecture Code WNF13000 Subject Classification Specialized Education

Subject Name 生涯学習におけるDX

Subject Name
（Katakana）

Subject Name in
English DX in Lifelong Learning

Instructor TOYA AKIHIRO,TANAKA HIDEYUKI,MATUBARA KIMINORI,NAKASHIMA KENICHIRO,HASHIMOTO JUNYA,FAN YIZHOU,MIYAJIMA KIRIE,MURASAWA MASATAKA

Instructor
(Katakana) トヤ　アキヒロ,タナカ　ヒデユキ,マツバラ　キミノリ,ナカシマ　ケンイチロウ,ハシモト　ジュンヤ,ハン　イシュウ,ミヤジマ　キリエ,ムラサワ　マサタカ

Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  First Semester

Days, Periods, and Classrooms (1st) Inte：Follow the instruction by the class instructor.

Lesson Style Practical Lesson Style
(More Details) Face-to-face, Online (simultaneous interactive)

Exercise-centered, discussion, student presentations

Credits 1.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 7 : Graduate Special Studies

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 05 : Sociology

Eligible Students Students of 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 The objective of this course is to foster the ability of students from different specialized fields to collaboratively solve problems by analyzing specific data together with experts from other fields. Students from the Educational Data Science Program and the Social Data Science Program will analyze real data and work together to solve problems through presentations and discussions.

Class Schedule lesson1  Guidance
lesson2  Task Setting ①: Sharing Tasks in Lifelong Learning
lesson3  Task Setting ②: Collecting Materials
lesson4  Task Setting ③: Group Discussion
lesson5  Task Setting ④: Determining Tasks
lesson6  Examining Solutions ①: Exploring Possible Approaches
lesson7  Examining Solutions ②: Developing an Implementation Plan
lesson8  Examining Solutions ③: Finalizing the Implementation Plan
lesson9  Examining Solutions ④: Preparing for the Midterm Presentation
lesson10  Examining Solutions ⑤: Midterm Presentation
lesson11  Implementing Solutions ①: Preparing for Implementation
lesson12  Implementing Solutions ②: Carrying Out the Implementation
lesson13  Implementing Solutions ③: Reviewing and Summarizing the Implementation
lesson14  Implementing Solutions ④: Final Presentation
lesson15  Summary

Reports will be assigned based on interim and final presentations.

Text/Reference
Books,etc. Introduce useful materials for exercises as appropriate.

PC or AV used in
Class,etc. Handouts, Microsoft Teams, moodle

(More Details)

Learning techniques to be incorporated Discussions, PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report

Suggestions on
Preparation and
Review Lessons 1-5: Organize your own awareness of issues in lifelong learning.
Lessons 6-10: Examine and consider appropriate methods for addressing the identified issues.
Lessons 11-15: Based on the discussions from the midterm presentation, explore more suitable directions for implementation.

Requirements This course is closely coordinated with “Practice of Data Analysis for Education and Social Data Science Programs II” and is designed to complement its content.

Grading Method Evaluation will be based on overall performance in class participation, interim presentation, final presentation, and reports.

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.

Academic Year	2026Year	School/Graduate School	Graduate School of Humanities and Social Sciences (Master's Course) Division of Educational Sciences Education Data Science Program
Lecture Code	WNF13000	Subject Classification	Specialized Education
Subject Name	生涯学習におけるDX
Subject Name （Katakana）
Subject Name in English	DX in Lifelong Learning
Instructor	TOYA AKIHIRO,TANAKA HIDEYUKI,MATUBARA KIMINORI,NAKASHIMA KENICHIRO,HASHIMOTO JUNYA,FAN YIZHOU,MIYAJIMA KIRIE,MURASAWA MASATAKA
Instructor (Katakana)	トヤ　アキヒロ,タナカ　ヒデユキ,マツバラ　キミノリ,ナカシマ　ケンイチロウ,ハシモト　ジュンヤ,ハン　イシュウ,ミヤジマ　キリエ,ムラサワ　マサタカ
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, First Semester, First Semester
Days, Periods, and Classrooms	(1st) Inte：Follow the instruction by the class instructor.
Lesson Style	Practical	Lesson Style (More Details)	Face-to-face, Online (simultaneous interactive)
Exercise-centered, discussion, student presentations
Credits	1.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	7 : Graduate Special Studies
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	05 : Sociology
Eligible Students	Students of 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	The objective of this course is to foster the ability of students from different specialized fields to collaboratively solve problems by analyzing specific data together with experts from other fields. Students from the Educational Data Science Program and the Social Data Science Program will analyze real data and work together to solve problems through presentations and discussions.
Class Schedule	lesson1 Guidance lesson2 Task Setting ①: Sharing Tasks in Lifelong Learning lesson3 Task Setting ②: Collecting Materials lesson4 Task Setting ③: Group Discussion lesson5 Task Setting ④: Determining Tasks lesson6 Examining Solutions ①: Exploring Possible Approaches lesson7 Examining Solutions ②: Developing an Implementation Plan lesson8 Examining Solutions ③: Finalizing the Implementation Plan lesson9 Examining Solutions ④: Preparing for the Midterm Presentation lesson10 Examining Solutions ⑤: Midterm Presentation lesson11 Implementing Solutions ①: Preparing for Implementation lesson12 Implementing Solutions ②: Carrying Out the Implementation lesson13 Implementing Solutions ③: Reviewing and Summarizing the Implementation lesson14 Implementing Solutions ④: Final Presentation lesson15 Summary Reports will be assigned based on interim and final presentations.
Text/Reference Books,etc.	Introduce useful materials for exercises as appropriate.
PC or AV used in Class,etc.	Handouts, Microsoft Teams, moodle
(More Details)
Learning techniques to be incorporated	Discussions, PBL (Problem-based Learning)/ TBL (Team-based Learning), Post-class Report
Suggestions on Preparation and Review	Lessons 1-5: Organize your own awareness of issues in lifelong learning. Lessons 6-10: Examine and consider appropriate methods for addressing the identified issues. Lessons 11-15: Based on the discussions from the midterm presentation, explore more suitable directions for implementation.
Requirements	This course is closely coordinated with “Practice of Data Analysis for Education and Social Data Science Programs II” and is designed to complement its content.
Grading Method	Evaluation will be based on overall performance in class participation, interim presentation, final presentation, and reports.
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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