シラバス Syllabus

授業名 ENGLISH PRONUNCIATION FOR BUSINESS
Course Title ENGLISH PRONUNCIATION FOR BUSINESS
担当教員 Instructor Name Alexander Kilpatrick
コード Couse Code NUC030_N23B
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300系 / Specialized Subject 300
学位 Degree BSc
開講情報 Terms / Location 2023 UG Nisshin Term3

授業の概要　Course Overview

Misson Statementとの関係性 / Connection to our Mission Statement

In this class you will learn how to articulate the speech sounds of English and you will also be able to explain how you articulate those sounds in English.

授業の目的（意義） / Importance of this course

This course if important for anyone who is interested in producing English like a native speaker.

到達目標 / Achievement Goal


By the end of this course, students will be able to produce English without an accent and explain how they are doing so in English.

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

受講後得られる具体的スキルや知識　Learning Outcomes


LG1 Critical Thinking
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication

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 80 %
参加者中心型 Participant-Centered Learning ケースメソッド Case Method 20 %
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

Weekly tests and a final examination alongside class contribution make up the assessment for this class.

授業スケジュール　Course Schedule

第1日（Day1）

Introduction.

第2日（Day2）

Monophthongs.

第3日（Day3）

Diphthongs.

●使用するケース
Case study 1: Losing your accent.

第4日（Day4）

Fricatives.

●使用するケース
Case study 2: How to identify problem sounds.

第5日（Day5）

Laterals, affricates, and syllabic consonants.

第6日（Day6）

Review and speaking test practice.

第7日（Day7）

Speaking test.

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。
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 30 %
シミュレーション成績 Simulation 20 %
ケース試験 Case Exam 0 %
最終レポート Final Report 0 %
期末試験 Final Exam 30 %
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

A large part of the assessment for this course is how well you can produce the speech sounds in target words. That means that you should be practising.

The second main consideration is how well you have learned to explain how to articulate words.

使用ケース一覧　List of Cases

    ケースは使用しません。

教科書　Textbook

  • Linda James and Olga Smith「Get rid of your accent」Business and Technical Communication（2012）

参考文献・資料　Additional Readings and Resource

No additional readings

授業調査に対するコメント　Comment on Course Evaluation

Week 7 contains a speaking test. More information will be distributed in class.

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). Sound Symbolism in Automatic Emotion Recognition and Sentiment Analysis. Proceedings of the International Workshop on 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






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