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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/teach-impacts-technology-data
课程评论：没有评论
课程名称：技术对教育的影响：数据收集、使用与隐私 课程概述：本课程将重点关注持续的数据收集和大数据分析对我们的影响，探讨使用数据与保护数据之间的相互作用，以及未来数据可能为您带来的潜力。课程将通过一系列配对教学环节进行，探讨您日常生活中计算机的特定影响以及实现这种影响的技术和计算机概念，适合K12教育水平。本课程是一个更大专门化的一部分，您将学习必需的计算机影响概念，分为五个独特的数字“世界”，以及学习教学技巧、评估教学计划和课堂资源。最终，您将做好准备教导尚未上大学的学生在数字世界中成为聪明而有效的参与者。 在本课程的个人数据数字世界中，您将探究以下影响与技术配对的内容： 1. 影响（展示我想看到的!）：互联网隐私、定制广告、网页个性化 - 技术和计算机概念：Cookies、Web与Internet、HTTPS、Web服务器 2. 影响（使用我的数据……但要保护它!）：常见网络安全知识水平、ISP数据收集、互联网设计、了解在线所知的信息、软件条款和服务 - 技术和计算机概念：DNS、密码学（密码、哈希、加密、SSL）、深网与暗网 3. 影响（我的数据将来能为我做什么？）：什么是大数据、机器学习推荐新音乐、可穿戴技术 - 技术和计算机概念：人工智能与机器学习、监督学习与非监督学习、神经网络、推荐系统、语音识别 在本课程的教学法部分，将探讨计算机概念教学的最佳实践。您将学习如何应用布卢姆的分类法制定有意义的计算机科学学习目标，了解基于检索的学习的重要性，构建带有在线模拟器的学习活动，以及如何利用“趣味”书籍教授计算机知识。 在CSTA K-12计算机科学标准方面，我们将主要涵盖“计算影响”概念内的学习目标，同时也将包括一些“网络与互联网”以及“数据与分析”概念中的目标。我们将涵盖的实践包括“培养包容性计算文化”、“识别与定义计算问题”和“交流计算相关内容”。 课程大纲： 1. 课程导读：欢迎！你是否有兴趣教授个人数据在数字世界中的影响？我们将通过基于问题的方法探索网络与互联网、数据与分析、算法与数据表示的概念。 2. 数据收集：探讨为何在购物时会看到相关广告，以及如何实现个性化的在线体验，包括Cookies和Web服务器的工作原理，及HTTPS的安全性。 3. 数据隐私：研究个人数据的使用限制、保护方法和控制权，探索密码、哈希、加密及深网与暗网的区别。 4. 数据使用：介绍大数据的概念，以及它与机器学习之间的联系。 5. 计算影响与教学法：选择您想探索的计算影响内容，引入课堂评估技术，和布卢姆分类法的学习目标设定，以及从儿童小说《秘密编码危机》中识别学习成果。
Name:Course Orientation
Description:Welcome! Are you interested in teaching about the impacts of your personal data in the digital world? To learn more about the computation and computing concepts that underlie the technologies using that data? We'll be using a problem-based approach to explore interesting ways to teach concepts of networks and the internet, data and analysis, and even algorithms and data representation. Finally, we'll read a chapter from a children's fiction book -- "The Secret Code Menace" and identify some computer science learning outcomes for that chapter.
Name:Data Collection
Description:Why is it that when you are shopping for an item on one website, you start seeing ads for it other in other places? How do websites know (and quite well) what products and services to recommend their customers and users? We'll look at how the internet has evolved to personalize people's experiences while online. Then to finish up this week, we will learn about how cookies and web servers work, as well as how HTTPS keeps connections secure.
Name:Data Privacy
Description:This week we'll look at aspects of our personal data such as -- when we we do not want it used, how we can keep it safe, and what control we have. In this Technology Exploration, we'll learn about ciphers, hashing, cryptography, and encryption. Also, do you know the difference between the "deep" web and the "dark" web? (You will know by the end of this week!)
Name:Data Use
Description:So far we have learned about data collection and privacy. Now we will spend the week covering some ways that data is used, so we must introduce big data. Along with our exploration of this progressive concept, we will help you connect the use of big data to machine learning though an activity designed to guide your understanding in a fun way!
Name:Impacts of Computing and Pedagogy
Description:Next we'll let you choose what you want to explore around "impacts of computing" for the technologies we've explored in this world. Along with that, we'll introduce another "Formative Classroom Assessment Technique" (FACT) and have you practice how you would use this in the classroom. For our pedagogical focus, we'll look at how retrieval practice helps you learn far more effectively than "re-studying" and how to define the learning objectives for a given learning activity using Bloom's taxonomy. Finally, you'll get to read a short chapter from a children's fiction book "The Secret Code Menace" and identify for yourself what kids can learn from reading it!
In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level. This course is part of a larger Specialization through which you’ll learn impacts of computing concepts you need to know, organized into 5 distinct digital “worlds”, as well as learn pedagogical techniques and evaluate lesson plans and resources to utilize in your classroom. By the end, you’ll be prepared to teach pre-college learners to be both savvy and effective participants in their digital world. In this particular digital world (personal data), you’ll explore the following Impacts & Technology pairs -- Impacts (Show me what I want to see!): Internet Privacy, Custom Ads, Personalization of web pages Technologies and Computing Concepts: Cookies, Web vs Internet, https, Web Servers Impacts (Use my data…. But protect it!): Common Cybersecurity knowledge levels, ISP data collection, Internet design, finding out what is known about you online, software terms and services Technology and Computing Concepts: DNS, Cryptography (ciphers, hashing, encryption, SSL), Deep and Dark Web Impacts (What could my data do for me in the future?): What is Big Data, Machine Learning finds new music, Wearable technologies. Technology and Computing Concepts: AI vs ML, Supervised vs Unsupervised learning, Neural Networks, Recommender systems, Speech recognition In the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn how to apply Bloom’s taxonomy to create meaningful CS learning objectives, the importance of retrieval-based learning, to build learning activities with online simulators, and how to use “fun” books to teach computing. In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept. Practices we cover include “fostering and inclusive computing culture”, “recognizing and defining computational problems”, and “communicating about computing”.
