English for Specific Purposes B (社会情報・専門科目)

授業科目名

(英語名)

English for Specific Purposes B

科目区分

専門教育科目

Major Courses

対象学生

社会情報科学部

学年

学年指定なし

ﾅﾝﾊﾞﾘﾝｸﾞｺｰﾄﾞ

KCCBG1MCA7

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

講義・演習 (Lecture/Seminar)

開講時期

2026年度後期

(Fall semester)

担当教員

Glenn　Brown

所属

Part-time Lecturer

授業での使用言語

英語

All classes will be taught in English

関連するＳＤＧｓ目標

目標3／目標4／目標9

ｵﾌｨｽｱﾜｰ・場所

In Class / After Class

連絡先

gbfwdmail@gmail.com

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

3◎

研究科DP

10〇

全学DP

ー

教職課程の学修目標

ー

講義目的・到達目標

This class aims to improve student's reading comprehension of science and technology English by exposure to up-to-date articles and material from these fields and holding discussions on these topics with their peers.

授業のサブタイトル・キーワード

Keywords: Digital, Digital Commerce, Real World

講義内容・授業計画

This course will be taught entirely in English, which means all materials, written work, video, and spoken communication will be
in English. This will be a task-based syllabus, with activities chosen that will improve English comprehension of science and
technology language. These classwork activities will include reading, discussions, and individual and group presentations.
Students will be expected to participate fully in all classroom activities. Regular attendance and participation in classroom
activities are essential for all students.

Class Content
1. Course Introduction
2 & 3 Tokenization of Real World Assets
4 & 5 Digital Commerce
6 & 7 Digital Assets
8 & 9 Augmented Reality / Virtual Reality
10 & 11 Digital Collectibles
12 & 13 Artificial Intelligence v Generative AI
14 & 15 Course 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

全面的に許可

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 fully permitted for all activities, including in-class
work, preparation and review, and the creation of reports or other deliverables. No restrictions are
imposed on its use. However, submitting AI-generated output directly as assignments or reports is
strictly prohibited. It is important to verify factual accuracy and check/add sources and references
for any content generated by AI. Whether students must indicate the use of AI in reports or other
submissions will be determined by the instructor’s instructions.

教科書

No Textbook. All materials will be supplied by the teacher

参考文献

事前・事後学習（予習・復習）の内容・時間の目安

60 Hours

アクティブ・ラーニングの内容

Students will research in class and offer opinions during presentations and Q & A with the teacher

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). Evaluation will be based on the assessment of the task reports. However, students who fail to submit
assignments on three or more occasions will not be eligible for course credit.

課題・試験結果の開示方法

In Class / After Class in a format designated by the teacher

履修上の注意・履修要件

Regular attendane and active participation in all classes are essential for students who wish to achieve good grades.

実践的教育

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。

シラバス情報