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Teacher name : Kayoko KINSHI
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Course Title
Research Seminar 2
Course Title in English
Research Seminar 2
Course Type
Major Courses
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Eligible Students
School of Economics and Management
Target Grade
2Year
Course Numbering Code
KCCBG2MCA3
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
Kayoko KINSHI
Affiliation
School of Economics and Management
Language of Instruction
English
Related SDGs
12
Office Hours and Location
B301
Office hours by appointment Contact
kinshi@em.u-hyogo.ac.jp
Corresponding Diploma Policy
A double circle indicates the most relevant DP number and a circle indicates the associated DP.
Corresponding Undergraduate School DP
1◎/3◎/4◎
Corresponding Graduate School DP
ー
Corresponding University-Wide DP
N/a
Academic Goals of Teacher Training Course
ー
Course Objectives and Learning Outcome
Research Seminar II continues the studies of Research Seminar I. Students are expected to build bridges with people from other countries and become world citizens who can contribute to world peace.
Subtitle and Keywords of the Class
Keywords: case study, sustainable tourism
Course Overview and Schedule
In-person/Remote Classification
In-person
Implementation Method and Remote Credit Limit Application
• In-person classes only
• Not subject to the cap on distance-education credits Uses of Generative AI
Limited permission for use
Precautions for using Generative AI
When using generative AI, please pay attention to the contents described in “Guidelines on the Use of Generative AI in Education at the University of Hyogo (For Students)” In this course, the use of generative AI is permitted only within the following scope, and use beyond this scope is prohibited. Students must follow the instructions of the instructor regarding the use of generative AI. If it is found that generative AI has been used beyond the scope approved by the instructor, credits may not be granted or may be revoked. It is important to verify factual accuracy and check/add sources and references for any content generated by AI. Submitting AI-generated output directly as assignments or reports is strictly prohibited.
Textbook
There is no specific textbook; all materials will be distributed in class or will be available in the university library.
References
References will be provided in class as needed.
Contents and Estimated Time for Pre- and Post- Learning (Preparation and Review)
Students will need to spend at least two hours preparing materials and reading for each class.
Contents of Active Learning
Students will learn to organize and present materials, and to participate in the discussion.
Grading Criteria and Methods
How to Disclose Assignments and Exam Results
Feedback will be provided in class or via Unipa when possible.
Precautions and Requirements for Course Registration
Practical Education
n/a
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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