シラバス Syllabus

担当教員 Instructor Name Alexander Kilpatrick
コード Couse Code NUC024_N23B
授業形態 Class Type 講義 Regular course
授業形式 Class Format On Campus
単位 Credits 4
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 Fall

授業の概要 Course Overview

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

In line with NUCB's mission statement, this English language course aims to educate and inspire students to become innovative and ethical leaders through the medium of English. In so doing, it is hoped they can grasp and take on the ideal of ʻFrontier Spiritʼ and the ability to create knowledge in English for the advancement of business and society.

授業の目的(意義) / Importance of this course

The course will provide students with the foundation to complete receptive and productive English language tasks linked to the CEFR B2 level (and at the TOEIC® Listening and Reading score 785 - 940 score range). This course has a special focus on vocabulary and grammar learned inductively and deductively through reading, writing, listening, and speaking tasks embedded within a progressive complexity of information, materials and tasks presented. Across the term, language is recycled via engaging active learning tasks making use of individual, pair, group and technological formats to enhance the chances of acquisition. Homework and individual study components via online learning are also integrated throughout the course.

到達目標 / Achievement Goal

*This is a SAC compulsory subject.

本授業の該当ラーニングゴール Learning Goals


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

Grammar: to review grammar previously learned, to use the grammar of each week in productive statements and questions; Vocabulary: to review and recycle vocabulary via receptive and productive tasks; Reading: to improve reading fluency, and to learn and use critical reading strategies, such as skimming and scanning and context and situational cues; Listening: to learn and use critical listening strategies to identify key language. concepts and subsequent facts, to search for and recognise information via audio or video samples; Speaking: to discuss topics using open and closed practice, to accurately describe/explain business-related actions and events, to be able to ask and respond to questions about one's and someone’s daily business life; Writing: to learn a variety of writing styles with a focus on meaning over accuracy and accuracy over meaning as a means to overall effective business 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

This learner-centred course will be guided by a lecture in the form of grammar, vocabulary, listening and reading input (supported by individual study completed by the students) as well speaking and writing practice in equal components. Individual study will include work from the course materials available in the online platform of the textbook. Group and peer interaction will occur throughout the term, and will be supplemented with individual work.

授業スケジュール Course Schedule


Units 79-82
Units 83-87


Units 88-91
Units 92-96


Units 97-101
Units 102-104


Units 105-108
Units 109-113


Units 114-118
Units 119-122


Units 123-127
Units 128-131


Units 132-136
Units 137-144 (phrasal verbs)

成績評価方法 Evaluation Criteria

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 30 %
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

There will be weekly grammar and vocabulary tests. The best 5 scores for each of these will contribute 30% of your grade. There will two writing exercises that will make up 20% of your final grade.
For SAC compulsory classes, students are required to study over 20 hours during the semester at SAC in the Central Information Center. Additionally, students enrolled in SAC Compulsory courses are all required to take the TOEIC exam 3 times at NUCB during the spring semester (June) and fall semester (October and November). Failing to do so, a student will receive Incomplete for his/her grade for the SAC compulsory course in the semester in which the student failed to take the TOEIC exam.

使用ケース一覧 List of Cases


教科書 Textbook

  • Alastair Lane, John Hughes, and Jon Naunton「Business Result: Intermediate (Second Edition)」Oxford University Press(2010)978-0-19-473886-6

参考文献・資料 Additional Readings and Resource

Additional materials will be supplied by the instructor; other resources may be made available from tasks and materials in the SAC.

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

There will be weekly grammar and vocabulary tests. The best 5 scores for each of these will contribute 30% of your grade. There will two writing exercises that will make up 20% of your final grade. The final exams represent 30% of the final grade. The remaining 20% will come from classroom participation.

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