Errors and Intelligence in Computer-Assisted Language Learning

《語法學習手冊》嚴格依據教育bu和國家語委聯合發布的《國際中文教育中文水平等級標準》“附錄A（規範性）語法等級大綱”（以下簡稱“語法等級大綱”）進行編寫，是面向中文學習者的應用型學習手冊。本書遵循“以學習者為中心”的教育理念，倡導語法自然習得。《語法學習手冊》分初等、中等、高等三個分冊，分別對應“語法等級大綱”初等、中等和高等的語法點。書中對“語法等級大綱”的語法點進行了拆分或合並，圍繞“基本語義及用法”“典型例句和對話”“補充例句”“結構特點”“小提示”等幾個維度對每個語法點進行詳細說明。本書從教學實際出發，力求為國際中文語法學習與教學提供一定的參照與支持。本書為高等分冊，對高等水平學習者的語法學習提供參考。Grammar Learning Manual, a practical learning manual for students of Chinese language, is compiled in strict accordance with the “Appendix A (Normative Grammar Grading Outline)” (hereinafter referred to as “Grammar Grading Outline”) of Chinese Proficiency Grading Standards for International Chinese Language Education, which is jointly issued by the Ministry of Education and the State Language Commission. This book observes the “student-centered” education idea, and advocates the natural acquisition of grammar. Grammar Learning Manualis divided into the elementary, intermediate and advanced levels, respectively corresponding to the grammar points in the “Grammar Grading Outline”. In

Many friends have assisted with the information in this book, fartoo many to list here, and I thank them all. However much help Ive had,the errors are all mine. iSpecial thanks to Sun Weihua, Dr. Kevi

《語言中的文化》This book intends to provide the basic knowledge about language and culture which is practical and helpful in the language learning. It will be of great use to advanced under-graduates, as wel

基於概念探究的教學方法，結合國際文憑大學預科項目（IBDP 中文 B）五大學習主題，本套書設計了一系列豐富有趣的探究活動，旨在幫助學生深入理解各主題的核心概念、內容、文體及目的語文化。同時，本套書還根據 IB 的評估要求提供了實用且豐富的聽、說、讀、寫練習及答題思路，為學生在 IB 評估中取得成功保駕護航。本套書分上、下兩冊。The book presents a series of engaging and effective activities built around the inquiry-based approach, fully aligned with the five study themes of IB Chinese B. Designed to help students deepen their understanding of core concepts, content, text types, and the target language’s culture, it supports language learning across all key areas. It also offers comprehensive practice in listening, speaking, reading, and writing exercises, along with answer strategies according to the IB assessment requirements, ensuring students’ success in their IB assessments.

本書是大學英語拓展課程配套教材，涉及大數據、人工智能、5G、機器人、建築建造及生物醫藥等熱門主題，文章大多選自權威英文網站、科技期刊、博客等。全書共8個單元，分別為Big Data，Artificial Intelligence，5G，Robots，Building，Bridges，Biomedicine和Health。每單元設置Lead-in（主題導入），Read and Explore（主題閱讀）、Language Skills（語言技巧）和Applying What You Learn（學以致用）四大模塊。每個模塊後附習題。全書主題具有科學性，選文新穎，育人特色鮮明，習題題型豐富，有利於全方位培養學生的英語能力，可作為高等院校應用型本科科技英語的教材，也可供科技英語愛好者閱讀使用。

本套繪本故事系列共包括13個故事，適合有中文背景的海外家庭和開設中文的海外幼兒園一起跟小朋友閱讀、識字、講故事。該系列主題均與學齡前小朋友的生活密切相關，主題涉及教室、顏色、數字、水果、食物、動物、家庭、身體部位、形狀、星期、天氣和交通工具。讓小朋友在中文閱讀中逐漸養成良好的習慣，建立優秀的品德。每個故事前面一些簡單的小問題讓小朋友們帶著問題進入故事，更好地理解故事、融入故事。每個故事結束後附有生詞表讓小朋友記住一些簡單的常用漢字。每個故事都有英文翻譯和漢語拼音，方便不同年齡的小朋友閱讀。 Centered around the Chinese-learning experiences of David, a naughty six-year-old boy, this cartoon book series features 13 stories. The books are suitable for kids from overseas families with a Chinese language background and kindergartens offering Chinese courses, as parents and teachers can help them recognize characters and read stories.All themes in the series are closely related to the life of pre-school children, which cover the classroom, colors, numbers, fruits, food, animals, family, body parts, shapes, days of the week, weather, and means of transportation. We hope that through reading the Chinese language, they can form good habits and moral character.A few simple questions are set for the kids before they read each story, so that

This book provides a comprehensive foundation of machine learning. To answer the questions of what to learn, how to learn, what to get from learning, and how to evaluate, as well as what is meant by learning, the book focuses on the fundamental basics of machine learning, its methodology, theory, algorithms, and evaluations, together with some philosophical thinking on comparison between machine learning and human learning for machinery intelligence.The book is organized as follows: Introduction (Chapter 1), Evaluation (Chapter 2), Supervised learning (Chapters 3, 4, and 5), Unsupervised learning (Chapter 6), Representation learning (Chapter 7), Problem decomposition (Chapter 8), Ensemble learning (Chapter 9), Deep learning (Chapter 10), Application (Chapter 11), and Challenges (Chapter 12).The book can be used as a textbook for college, undergraduate, graduate and PhD students majored in computer science, automation, electronic engineering, communication, ect. It can also be used as