| 授業名 | BUSINESS READING |
|---|---|
| Course Title | BUSINESS READING |
| 担当教員 Instructor Name | Alexander Kilpatrick |
| コード Couse Code | NUC120_N21B |
| 授業形態 Class Type | 講義 Regular course |
| 授業形式 Class Format | On Campus |
| 単位 Credits | 2 |
| 言語 Language | EN |
| 科目区分 Course Category | 専門教育科目200系 / Specialized Subject 200 |
| 学位 Degree | BSc |
| 開講情報 Terms / Location | 2021 UG Nisshin Term3 |
授業の概要 Course Overview
Misson Statementとの関係性 / Connection to our Mission Statement
This course is for non-native speakers of English. It includes the development of intermediate skills and strategies in reading comprehension, fluency, and critical thinking; intermediate academic vocabulary and the application of level-appropriate grammar and mechanics; and the ability to respond to academic readings through paraphrasing and writing short paragraphs.
授業の目的（意義） / Importance of this course
This course will utilize traditional classroom strategies as well as case studies to improve the abilities of its participants to read business English.
到達目標 / Achievement Goal
By the end of this course, it is expected that students will be able to read business English at an intermediate level independently.
本授業の該当ラーニングゴール Learning Goals
*本学の教育ミッションを具現化する形で設定されています。
LG1 Critical Thinking
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
受講後得られる具体的スキルや知識 Learning Outcomes
Using assigned texts, students will learn to:
1) Relate new information to prior knowledge.
2) Make predictions about the content of texts that they are about to read.
3) Skim and scan to determine main ideas, text patterns, and location of specific information
within a text.
4) Differentiate main ideas from major and minor supporting details in written materials.
5) Derive valid information from maps, charts, graphs, and diagrams within texts.
6) Demonstrate increasing word power by acquiring new vocabulary and the ability to guess
new words from context clues and word parts, then applying this knowledge through
subsequent practice exercises in new contexts.
7) Draw inferences.
1) Relate new information to prior knowledge.
2) Make predictions about the content of texts that they are about to read.
3) Skim and scan to determine main ideas, text patterns, and location of specific information
within a text.
4) Differentiate main ideas from major and minor supporting details in written materials.
5) Derive valid information from maps, charts, graphs, and diagrams within texts.
6) Demonstrate increasing word power by acquiring new vocabulary and the ability to guess
new words from context clues and word parts, then applying this knowledge through
subsequent practice exercises in new contexts.
7) Draw inferences.
SDGsとの関連性 Relevance to Sustainable Development Goals
Goal 4 質の高い教育をみんなに（Quality Education）
教育手法 Teaching Method
| 教育手法 Teaching Method | % of Course Time | |
|---|---|---|
| インプット型 Traditional | 50 % | |
| 参加者中心型 Participant-Centered Learning | ケースメソッド Case Method | 50 % |
| フィールドメソッド Field Method | 0 % | 合計 Total | 100 % |
事前学修と事後学修の内容、レポート、課題に対するフィードバック方法 Pre- and Post-Course Learning, Report, Feedback methods
Feedback will be delivered both formatively and summatively to students for both assessed and unassessed work.
授業スケジュール Course Schedule
第1日（Day1）
Introduction to classTextbook: Unit 7
●使用するケース
Case study practice (pg. 72 of the textbook)第2日（Day2）
Textbook: Unit 8●使用するケース
Introduction to case study 1: Expanding a small children's products business第3日（Day3）
Textbook: Unit 9Reading Test 1 (10% of total grade)
●使用するケース
Completion of case study 1: Expanding a small children's products business第4日（Day4）
Textbook: Unit 10●使用するケース
Introduction to case study 2: Responding to environmental concerns in Europe第5日（Day5）
Textbook: Unit 11●使用するケース
Completion of case study 2: Responding to environmental concerns in Europe第6日（Day6）
Textbook: Unit 12Reading Test 2 (10% of total grade).
●使用するケース
Introduction to case study 3: Satisfying the supermarket grocer第7日（Day7）
Textbook: Review Units 7-12●使用するケース
Completion of case study 3: Satisfying the supermarket grocer成績評価方法 Evaluation Criteria
*成績は下記該当項目を基に決定されます。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
Simulation is a measure of each student's performance in Case Studies.
There will be two tests during the term that are designed to prepare students for the final exam. These are each worth 10% of the total marks for the course.
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
| 講師用内規準拠 Method of Assessment | Weights |
|---|---|
| コールドコール Cold Call | 0 % |
| 授業内での挙手発言 Class Contribution | 20 % |
| クラス貢献度合計 Class Contribution Total | 20 % |
| 予習レポート Preparation Report | 0 % |
| 小テスト Quizzes / Tests | 20 % |
| シミュレーション成績 Simulation | 10 % |
| ケース試験 Case Exam | 0 % |
| 最終レポート Final Report | 0 % |
| 期末試験 Final Exam | 50 % |
| 参加者による相互評価 Peer Assessment | 0 % |
| 合計 Total | 100 % |
評価の留意事項 Notes on Evaluation Criteria
Class contribution is a combination of class attendance and contribution. Students will lose marks for missing classes and not contributing to class discussions.Simulation is a measure of each student's performance in Case Studies.
There will be two tests during the term that are designed to prepare students for the final exam. These are each worth 10% of the total marks for the course.
教科書 Textbook
- David Cotton, David Falvey, Simon Kent「Pre-Intermediate Market Leader (3rd Edition)」Pearson（2016）978-1408237076
参考文献・資料 Additional Readings and Resource
Additional resources will be supplied by the teacher.
授業調査に対するコメント Comment on Course Evaluation
Please see considerations of evaluation.
担当教員のプロフィール About the Instructor
Alexander Kilpatrick is an assistant professor at the Nagoya University of Business and Commerce. He holds a Ph.D. from the University of Melbourne. Alexander's main area of research involves examining the influence of transitional probability on non-native speech perception. More specifically, it focuses on the chance of sounds co-occurring in a language and makes predictions as to how listeners will misperceive non-native speech based on that chance.
He is available to meet with students on Wednesdays 11:20 - 12:50 in room 6306.
His areas of interest include Speech perception, Iconicity, Psycholinguistics, Neurolinguistics, Transitional Probability, Phonetics, and Phonology.
（実務経験 Work experience）
2014-2016 - La Trobe University - English Teacher
2016-2017 - La Trobe University - English Lecturer
2016-2019 - University of Melbourne - Teacher's Assistant
2019-current - Nagoya University of Business and Commerce - Assistant Professor
Refereed Articles
- (2024) Sound Symbolism in Japanese Names: Machine Learning Approaches to Gender Classification. Plos One
- (2024) Using artificial intelligence to explore sound symbolic expressions of gender in American English. PeerJ Computer Science 10:e1811 https://doi.org/10.7717/peerj-cs.1811
- (2023) A cross-linguistic, sound symbolic relationship between bilabial consonants, voiced plosives, and Pokémon Friendship. Frontiers in Psychlogy
- (2023) Random Forests, Sound Symbolism and Pokémon Evolution. PLoS One
- (2020) Japanese Perceptual Epenthesis is Modulated by Transitional Probability. Language and Speech 63(2): 10.1177/0023830920930042
Refereed Proceedings
- (2024). Cognitive AI 2023. Cognitive AI 2023 .Cognitive AI 2023. 1. 2. Bari University, Italy
- (2023). Iconicity Through the Lens of Information Theory. THE ICONICITY SEMINAR 2023 .THE ICONICITY SEMINAR 2023. 1. 2. Nagoya University of Commerce and Business
- (2023). Training Artificial Intelligence to Assess ESL Writing Using Complexity Measures. JSLS 2023 Handbook .The 24th Annual International Conference of the Japanese Society for Language Sciences. 1. 2. Chuo University Tama Campus
- (2019). Predictability, Word Frequency and Japanese Perceptual Epenthesis. Proceedings of the 19th International Congress of Phonetic Sciences .The 19th International Congress of Phonetic Sciences. 2. 2. Melbourne, Australia
- (2018). Japanese Vowel Devoicing Modulates Perceptual Epenthesis. Proceedings of the 17th Speech Science and Technology Conference (SST2018) .the 17th Speech Science and Technology Conference (SST2018). 1. 2. Coogee Bay Hotel