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教員名 : 金志 佳代子
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授業科目名
Research Seminar 1
(英語名)
Research Seminar 1
科目区分
専門教育科目
ー
対象学生
国際商経学部
学年
2年
ナンバリングコード
KCCBG2MCA3
単位数
2.00単位
ナンバリングコードは授業科目を管理する部局、学科、教養専門の別を表します。詳細は右上の?から別途マニュアルをダウンロードしてご確認ください。
授業の形態
演習 (Seminar)
開講時期
2026年度後期
(Fall semester)
担当教員
金志 佳代子
所属
School of Economics and Management
授業での使用言語
英語
関連するSDGs目標
目標10/目標16
オフィスアワー・場所
B301
Office hours by appointment 連絡先
kinshi@em.u-hyogo.ac.jp
対応するディプロマ・ポリシー(DP)・教職課程の学修目標
二重丸は最も関連するDP番号を、丸は関連するDPを示します。
学部DP
1◎/3◎/4◎
研究科DP
ー
全学DP
ー
教職課程の学修目標
ー
講義目的・到達目標
This seminar focuses on the relationships between Japan and the country of origin of each student. This is one of the projects of the whole series continuing in Research SeminarⅡand Ⅲ in the 2025 school year, which entails building bridges between countries.
The main goals of this seminar are to: 1. Increase students’ understanding of the issues between Japan and their countries from the viewpoint of history, education, economics, and politics. 2. Provide students with communication skills for discussion and presentation based on their research. 授業のサブタイトル・キーワード
Keywords: languages, cultures, humans and societies
講義内容・授業計画
In this seminar, the students are expected to take the lead in the learning process which includes discussions, group work, presentations, and field work.
1. Orientation/Introduction 2. Case study (1) : history of Japan and the U.S. 3. Case study (2) : history of Japan and the U.S. 4. Discussion/Group work 5. Discussion/Group work 6. Discussion/Group work 7. Discussion/Group work 8. Mid-term Presentation 9. Mid-term Presentation & Review 10. Fieldwork 11. Discussion/Group work 12. Discussion/Group work 13. Discussion/Group work 14. Presentation 15. Presentation & Review 対面・遠隔の別
対面
実施方法及び遠隔上限適用対象の別
• In-person classes only
• Not subject to the cap on distance-education credits 生成AIの利用
利用する場面を限定し許可
生成AI注意点
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.
教科書
There is no specific textbook; all materials will be distributed in the class or will be available at the university library.
参考文献
References will be provided in class as needed.
事前・事後学習(予習・復習)の内容・時間の目安
Students will need to spend at least two hours preparing materials and reading for each class.
アクティブ・ラーニングの内容
Students will learn to organize and present materials, and to participate in the discussion.
成績評価の基準・方法
Students who demonstrate an understanding of the assigned tasks and successfully complete the required reports will receive grades based on their level of proficiency in achieving the course objectives and learning outcomes. Grades will be assigned as follows: S (90 points or higher), A (80 points or higher), B (70 points or higher), and C (60 points or higher).
Grading criteria: Class discussions and comments: 40% Class presentations: 30% Assignments: 30% 課題・試験結果の開示方法
Feedback will be provided in class or via Unipa when possible.
履修上の注意・履修要件
Students are encouraged to actively participate in class discussions and to work together.
実践的教育
n/a
備考
英語版と日本語版との間に内容の相違が生じた場合は、日本語版を優先するものとします。
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