| 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 |
WNF00000 |
Subject Classification |
Specialized Education |
| Subject Name |
DXの概念と現状 |
Subject Name
（Katakana） |
|
Subject Name in
English |
Introduction to DX: Concept and Current Situation of DX |
| Instructor |
MATUBARA KIMINORI |
Instructor
(Katakana) |
マツバラ キミノリ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Weds5-8 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face, Online (on-demand) |
| |
| Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
07
:
Education |
| Eligible Students |
Education Data Science Program |
| Keywords |
DX, Data science, digital technology, AI, open data |
| 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 |
This class aims to understand the concept of digital transformation, related digital technologies, and the present situation in society and education. |
| Class Schedule |
lesson1 Introduction: Concept of DX
lesson2 DX and Data Science
lesson3 Data Scientist
lesson4 Data Science in Education and Society
lesson5 Present situation of DX
lesson6 Present situation of Data Science
lesson7 Combination of Science and Arts
lesson8 Communication skills
lesson9 Progress of digital technologies
lesson10 AI and society
lesson11 Open Data
lesson12 Collective knowledge
lesson13 Lecture on AI and society
lesson14 Research on DX and related issues
lesson15 Presentation on DX and related issues
Report |
Text/Reference
Books,etc. |
The textbooks will be explained in the class. |
PC or AV used in
Class,etc. |
Visual Materials, Microsoft Teams, moodle |
| (More Details) |
|
| Learning techniques to be incorporated |
Discussions, Post-class Report |
Suggestions on
Preparation and
Review |
lesson1 Understand the class aim and study methods
lesson2 Understand relationship between DX and data science
lesson3 Understand the role of Data Scientist
lesson4 Understand topics of data science in education and society
lesson5 Understand present situation of DX
lesson6 Understand present situation of data science
lesson7 Understand usefulness of combination of Science and Arts
lesson8 Understand importance of communication skills
lesson9 Understand progress of digital technologies
lesson10 Understand roles of AI in society
lesson11 Understand usefulness of open data
lesson12 Understand importance of collective knowledge
lesson13 Understand interaction of AI and society
lesson14 Consider issues of DX and society
lesson15 Deepen your understand through discussion |
| Requirements |
|
| Grading Method |
Attitude to class, engagement, presentation, report |
| 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. |