シラバス情報

授業科目名
Comparative Culture
(英語名)
Comparative Culture
科目区分
Core specialized courses
対象学生
社会科学研究科
学年
学年指定なし
ナンバリングコード
KCWMS5MCA1
単位数
2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
講義 (Lecture)
開講時期
2026年度前期
(Spring semester)
担当教員
金志 佳代子
所属
Graduate School of Social Sciences
授業での使用言語
英語
関連するSDGs目標
該当なし
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
研究科DP
2◎/3〇/5〇
全学DP
教職課程の学修目標

講義目的・到達目標

This course focuses on culture in relation to languages. Understanding the basic knowledge of sociolinguistics, the study of the role of language in human society, we will learn sociolinguistic phenomena; specifically the development of dialects, language change, and standardization. We will examine our own linguistic practices and those of the schools and communities within we study, work and live.

Specific learning objectives in this course include:

1. to examine a variety of case studies which shows how language functions in society
2. to raise an awareness of ongoing language change in society
3. to analyze linguistic phenomena in the context of one's own culture
授業のサブタイトル・キーワード
Keywords: language and society, language variety
講義内容・授業計画
The course is a combination of lectures and discussions about pre-assigned topics.

1. Introduction
2. What is Language?
3. Language, Thought, and Representation
4. Language and Politics
5. Language and the Media
6. Linguistic Landscapes
7. Language and Gender
8. Language and Ethnicity
9. Language and Age
10. Language, Class, and Symbolic Capital
11. Global Englishes
12. Projects
13. Presentation
14. Presentation
15. Reflection and Summary
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

Materials will be provided by the course instructor.

参考文献
Stanlaw, J. (2019).  Language, Culture, and Society: An Introduction to Linguistic Anthropology. Routledge


事前・事後学習(予習・復習)の内容・時間の目安
Students need to prepare for the next lesson (15h), do the required assignments (15h), and review the previous lesson (30h).
アクティブ・ラーニングの内容
Students will learn to organize and present material, 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%
Assignments: 40%
Final report: 20%
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

This course requires a consistent commitment to reading each week so that students can actively participate in discussions. Students need to prepare for each session, do the required assignments, and review the previous sessions.


実践的教育
Not applicable.
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。