| 授業名 | ENGLISH LINGUISTICS 1 |
|---|---|
| Course Title | ENGLISH LINGUISTICS 1 |
| 担当教員 Instructor Name | Alexander Kilpatrick |
| コード Couse Code | NUC271_N23A |
| 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400系 / Specialized Subject 400 |
| 学位 Degree | BSc |
| 開講情報 Terms / Location | 2023 UG Nisshin Term2 |
授業の概要 Course Overview
Mission Statementとの関係性 / Connection to our Mission Statement
The mission of this course is to facilitate an understanding of key facets of Linguistics and foster the development of leaders who posess a "Frontier Spirit".
授業の目的（意義） / Importance of this course
With this course, students will gain an understanding of Psycholinguistics by exploring how infants and adults learn language sounds.
到達目標 / Achievement Goal
By studying this course you will be able to:
• identify the stages in babies’ development of phoneme categories in their L1,
• predict whether a phonemic contrast will be easy or hard for an L2 learner to learn, depending on their L1.
• identify the stages in babies’ development of phoneme categories in their L1,
• predict whether a phonemic contrast will be easy or hard for an L2 learner to learn, depending on their L1.
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
Students will learn the psycholinguistics of language acquisition.
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 course will involve weekly tests and a final test at the end of the course.
授業スケジュール Course Schedule
第1日（Day1）
Introduction to class.第2日（Day2）
How do babies learn to differentiate speech sounds?●使用するケース
Case study 1: Learning how babies learn.第3日（Day3）
How do adults learn to differentiate speech sounds?第4日（Day4）
Zulu clicks and non-click languages●使用するケース
Case study 2: Zulu clicks.第5日（Day5）
Models of L2 speech perception.第6日（Day6）
How and when models of L2 speech perception fail.●使用するケース
Case study 3: PAM - the perceptual assimilation model.第7日（Day7）
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。
*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 | 0 % |
| シミュレーション成績 Simulation | 50 % |
| 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
Class participation alongside weekly simulations and a final exam.教科書 Textbook
- Catherine Anderson「ESSENTIALS OF LINGUISTICS」Open Educational Resource（2018）
参考文献・資料 Additional Readings and Resource
Note: the textbook for this class is available online for free and can be accessed in the following online repository.
https://drive.google.com/drive/folders/1huynaoZrIHLbLT4Uvkz6cXsY161HSox-?usp=sharing
Watch these videos:
https://www.youtube.com/watch?v=G2XBIkHW954&ab_channel=TED
https://www.youtube.com/watch?v=xyzzHSc7nVs&ab_channel=KazuyaL2Lab
https://drive.google.com/drive/folders/1huynaoZrIHLbLT4Uvkz6cXsY161HSox-?usp=sharing
Watch these videos:
https://www.youtube.com/watch?v=G2XBIkHW954&ab_channel=TED
https://www.youtube.com/watch?v=xyzzHSc7nVs&ab_channel=KazuyaL2Lab
授業調査に対するコメント Comment on Course Evaluation
See above.
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). Coarticulation and Transitional Probability in Japanese Perceptual Epenthesis. Proceedings of The 19th Australasian International Conference on Speech Science and Technology .The 19th Australasian International Conference on Speech Science and Technology. 1. 2. Melbourne University
- (2024). Decoding Surprisal and Iconicity in American English. Proceedings of The 19th Australasian International Conference on Speech Science and Technology .The 19th Australasian International Conference on Speech Science and Technology. 1. 2. Melbourne University
- (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