<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>必应：Language Learning Modules</title><link>http://www.bing.com:80/search?q=Language+Learning+Modules</link><description>搜索结果</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Language Learning Modules</title><link>http://www.bing.com:80/search?q=Language+Learning+Modules</link></image><copyright>版权所有 © 2026 Microsoft。保留所有权利。不得以任何方式或出于任何目的使用、复制或传输这些 XML 结果，除非出于个人的非商业用途在 RSS 聚合器中呈现必应结果。对这些结果的任何其他使用都需要获得 Microsoft Corporation 的明确书面许可。一经访问此网页或以任何方式使用这些结果，即表示您同意受上述限制的约束。</copyright><item><title>Teach English Now! Foundational Principles - Coursera</title><link>https://www.coursera.org/learn/english-principles</link><description>In this module, learners are introduced to the distinction between learning and acquisition. The distinction is made to help give learners context for the principle that language requires practice. To introduce the importance of practice, the distinction between a focused and diffuse mode of learning demonstrates that students who simply learn through memorizing vocabulary and grammar ...</description><pubDate>周二, 31 3月 2026 14:59:00 GMT</pubDate></item><item><title>Blended Language Learning: Design and Practice for Teachers</title><link>https://www.coursera.org/learn/blended-language-learning-design-practice-for-teachers</link><description>In this module, you will learn about the origins of the blended learning model and about the effectiveness of this model compared to other modalities. You will also learn about the affordances, benefits, and challenges of blended language learning for teachers and students.</description><pubDate>周三, 01 4月 2026 06:51:00 GMT</pubDate></item><item><title>Fundamentals of Natural Language Processing - Coursera</title><link>https://www.coursera.org/learn/fundamentals-natural-language-processing</link><description>This first week of Fundamentals of Natural Language Processing introduces the fundamental concepts of natural language processing (NLP), focusing on how computers process and analyze human language. You will explore key linguistic structures, including words and morphology, and learn essential techniques for text normalization and tokenization.</description><pubDate>周五, 03 4月 2026 15:46:00 GMT</pubDate></item><item><title>Miracles of Human Language: An Introduction to Linguistics</title><link>https://www.coursera.org/learn/human-language</link><description>This course introduces you to linguistics, featuring interviews with well-known linguists and with speakers of many different languages. Join us to explore the miracles of human language! The Miracles of Human Language introduces you to the many-faceted study of languages, which has amazed humans since the beginning of history.</description><pubDate>周六, 04 4月 2026 18:08:00 GMT</pubDate></item><item><title>Deep Learning | Coursera</title><link>https://www.coursera.org/specializations/deep-learning</link><description>The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.</description><pubDate>周五, 03 4月 2026 15:24:00 GMT</pubDate></item><item><title>Machine Learning with Python - Coursera</title><link>https://www.coursera.org/learn/machine-learning-with-python</link><description>Offered by IBM. Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn ... Enroll for free.</description><pubDate>周六, 04 4月 2026 23:23:00 GMT</pubDate></item><item><title>9 Best Python Libraries for Machine Learning - Coursera</title><link>https://www.coursera.org/articles/python-machine-learning-library</link><description>9 best Python libraries for machine learning If you’re working with machine learning and deep learning projects, there are thousands of Python libraries to choose from, and they can vary in size, quality, and diversity. Here is a curated list of the best Python libraries to help you get started on your machine learning journey.</description><pubDate>周六, 04 4月 2026 05:29:00 GMT</pubDate></item><item><title>Introduction to Structured Query Language (SQL) - Coursera</title><link>https://www.coursera.org/learn/intro-sql/</link><description>You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.</description><pubDate>周二, 31 3月 2026 16:18:00 GMT</pubDate></item><item><title>Crash Course on Python | Coursera</title><link>https://www.coursera.org/learn/python-crash-course</link><description>Offered by Google. This course is designed to teach you the foundations in order to write simple programs in Python using the most common ... Enroll for free.</description><pubDate>周日, 05 4月 2026 07:15:00 GMT</pubDate></item><item><title>Introduction to Artificial Intelligence (AI) - Coursera</title><link>https://www.coursera.org/learn/introduction-to-ai</link><description>In this module, you will explore the foundational concepts of artificial intelligence, including cognitive computing, machine learning, and deep learning. You’ll learn how AI systems simulate human cognition, process language, and recognize patterns using neural networks.</description><pubDate>周六, 04 4月 2026 14:11:00 GMT</pubDate></item></channel></rss>