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Teacher name : Masako IWAHARA
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Course Title
Cross Cultural Communication
Course Title in English
Cross Cultural Communication
Course Type
-
Research Support Courses
Eligible Students
Graduate School of Social Sciences
Target Grade
All
Course Numbering Code
KCWMS6MCA3
Credits
2.00Credits
The course numbering code represents the faculty managing the subject, the department of the target students, and the education category (liberal arts / specialized course). For detailed information, please download the separate manual from the upper right 'question mark'.
Type of Class
演習 (Seminar)
Eligible Year/Semester
Spring semester 2026
(Spring semester)
Instructor
Masako IWAHARA
Affiliation
Graduate School of Social Sciences
Language of Instruction
English
Related SDGs
8/10
Office Hours and Location
After the class, or by e-mail (E-mail address will be shared in the class.)
Contact
E-mail address will be shared in the class.
Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
ー
Corresponding Graduate School DP
2◎/3〇/5〇
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course
ー
Course Objectives and Learning Outcome
Course Objective:
Develop business communication skills to perform effectively in a cross-cultural environment. Goals:
Subtitle and Keywords of the Class
Course Overview and Schedule
Course Outline Students are expected to learn and practice communication skills that are effective in a global business environment. Students will practice business communication based on the objective/WHO/WHAT/HOW framework. The course involves discussions, workshops, presentations, and lectures. Class Agenda:
* The order of topics is subject to change depending on learning progress. In-person/Remote Classification
In-person
Implementation Method and Remote Credit Limit Application
Uses of Generative AI
Limited permission for use
Precautions for using Generative AI
・The use of generative AI may be considered an effective means as enhancing student’s understanding in preparation for and review of classes.
・For submitted work such as reports, short essays, and scripts, the use of generative AI is permitted solely for grammar checking. ・The use of generative AI during class is not permitted. Textbook
Will be informed as necessary.
References
Will be informed as necessary.
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Review of each class: 15 hours Pre-work and writing assignments: 20 hours Preparation for presentation: 10 hoursContents of Active Learning
Group work and discussions Roleplays Grading Criteria and Methods
How to Disclose Assignments and Exam Results
Feedback will be given in the class.
Precautions and Requirements for Course Registration
Practical Education
Not applicable.
Remarks
In cases where any differences arise between the English version and the original Japanese version, the Japanese version shall prevail as the official authoritative version.
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