シラバス Syllabus

授業名 ENGLISH FUNDAMENTALS 500 S(1st)
Course Title ENGLISH FUNDAMENTALS 500 S(1st)
担当教員 Instructor Name Alexander Kilpatrick
コード Couse Code NUC264_N20A
授業形態 Class Type 講義 Regular course
授業形式 Class Format
単位 Credits 2
言語 Language EN
科目区分 Course Category
学位 Degree BSc
開講情報 Terms / Location 2020 UG Nisshin Spring

授業の概要 Course Overview

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

授業の目的(意義) / Importance of this course

This course will provide students with the foundation to learn the English language and productive and receptive skills in preparation to achieve the CEFR B1 level at the TOEIC® Listening and Reading score (550-780 score range.)

This course focuses on understanding grammar and making use of the knowledge through reading, listening, speaking, and communication tasks assuming various business situations.

Across the classes, assignments and tasks typical to the junior high school and senior high school English classrooms are repeated and presented in individual and pair work formats. Homework and individual study components for active learning through online modules are also woven throughout the course.

到達目標 / Achievement Goal


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


Grammar: to review the grammar learnt from high school lessons, to use the grammar of each week in statements and questions

Reading: to improve reading fluency, to learn and use critical reading strategies such as skimming and scanning, to expand vocabulary

Listening: to learn and use critical listening strategies to identify key facts, to search for and recognize information about people, places, things and events from an audio sample

Speaking & Communication: to discuss topics using spontaneous and practiced speech, to accurately describe people places and things, to be able to ask and respond to questions about one's own and someone else’s daily life.

SDGsとの関連性 Relevance to Sustainable Development Goals

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 course will be guided by a lecture, which will be supported by independent study completed by the students outside of class.

Participant-Centered Learning (PCL) will be incorporated. The independent study outside of class will help prepare students for task-based application within class and will include written as well as online homework tasks.

Group and peer interaction will occur throughout the semester, and will be supplemented with individual work.

授業スケジュール Course Schedule

第1日(Day1)

Diagnostics
Course Overview
Vocabulary Overview
Unit 1: Meeting a client / Talking about yourself

第2日(Day2)

Vocabulary Quiz
Reading Fluency exercise
Unit 1: “Who are you?” / Interviews

第3日(Day3)

Vocabulary Quiz
Writing exercise
Unit 2: You and Your Company

第4日(Day4)

Vocabulary Quiz
Listening Exercise
Unit 3: Visiting a Client

第5日(Day5)

Vocabulary Quiz
Speaking Exercise
Unit 4: Business Activities

第6日(Day6)

Vocabulary Quiz
Grammar Activity
Unit 5: Fixing an Appointment

第7日(Day7)

Vocabulary Quiz
Listening/Speaking Game
Term Review

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 20 %
小テスト Quizzes / Tests 15 %
シミュレーション成績 Simulation 0 %
ケース試験 Case Exam 0 %
最終レポート Final Report 15 %
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

使用ケース一覧 List of Cases

    ケースは使用しません。

教科書 Textbook

  • Barnard & Cady 「Business Venture 1」Oxford University Press(2009)9780194578172

参考文献・資料 Additional Readings and Resource

Additional materials will be supplied by the instructor.

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

Students' progress will be evaluated weekly.

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






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