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”.
本課程是 Teaching Impacts of Technology in K-12 Education 專項課程 專項課程的一部分
Teaching Impacts of Technology: Data Collection, Use, and Privacy
提供方
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 1 小時
Course Orientation
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.
2 個視頻 （總計 12 分鐘）, 3 個閱讀材料, 1 個測驗
3 個閱讀材料
Are You Wanting UC, San Diego transcript credit?5分鐘
Engagement and Assessment Goals5分鐘
Using Googledoc Templates in this Class5分鐘
1 個練習
Orientation Quiz - Make Sure you Know the Score7分鐘
完成時間為 4 小時
Data Collection
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.
7 個視頻 （總計 19 分鐘）, 5 個閱讀材料, 9 個測驗
7 個視頻
Your First Interactive Reading11分鐘
Check Your Knowledge2
In Your Experience: HTTPS1
Check Your Knowledge2
What is Teacher Powerup?2分鐘
Check Your Knowledge2
5 個閱讀材料
Internet Privacy Test Tool Activity10分鐘
Where's my interactive reading grade?3分鐘
Cookies: What You Need To Know40分鐘
The Web vs The Internet8分鐘
Secure Web Browsing: HTTPS15分鐘
2 個練習
Mastery Quiz Part 124分鐘
Mastery Quiz Part 224分鐘
週
2完成時間為 4 小時
Data Privacy
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!)
5 個視頻 （總計 3 分鐘）, 8 個閱讀材料, 4 個測驗
5 個視頻
Check Your Knowledge2
Check Your Knowledge2
In Your Experience: Deep Dark Web1
Check Your Knowledge2
8 個閱讀材料
What does your ISP (Internet Service Provider) know about you?8分鐘
Why Not Redesign The Internet to Be Secure?6分鐘
How Bad Should You Feel About Not Reading "Terms and Conditions"?11分鐘
Domain Name Systems12分鐘
Cryptography Keeps Information Safe10分鐘
Keeping Information Secure on the Internet: Hashing and Encryption14分鐘
SSL Certificates2分鐘
Secrets of the Deep Dark Web15分鐘
2 個練習
Mastery Quiz Part 120分鐘
Mastery Quiz Part 220分鐘
週
3完成時間為 4 小時
Data Use
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!
4 個視頻 （總計 2 分鐘）, 3 個閱讀材料, 8 個測驗
4 個視頻
Check Your Knowledge2
Check Your Knowledge2
Check Your Knowledge2
3 個閱讀材料
Machine Learning Methods: Supervised vs. Unsupervised13分鐘
Activity: Train a Neural Network20分鐘
Optional: How Siri Works
2 個練習
Mastery Quiz Part 110分鐘
Mastery Quiz Part 212分鐘
週
4完成時間為 4 小時
Impacts of Computing and Pedagogy
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!
6 個視頻 （總計 28 分鐘）, 5 個閱讀材料, 6 個測驗
6 個視頻
Overview3分鐘
Retrieval-Based Learning: How and When16分鐘
In Your Experience: What Are These Questions Asking?1
Bloom's Taxonomy3分鐘
Check Your Knowledge2
5 個閱讀材料
Preview: FACT #23 Guided Reciprocal Peer Questioning10分鐘
So How Would I Teach With That?4分鐘
Extra Teacher Resources
Let's Experience It!3分鐘
Different Approaches to Supporting Learning5分鐘
2 個練習
Retrieval Practice Quiz: Any answer full points22分鐘
Mastery Quiz4分鐘
講師
Beth Simon
Teaching ProfessorEducation Studies
關於 加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
關於 Teaching Impacts of Technology in K-12 Education 專項課程
2% That’s the estimate of how many high school students in all of California took a Computer Science class in 2015. And yet, computers and data are everywhere. Just consider a typical 24 hours in your life … how many different computer devices do you use? We all live in multiple digital worlds that are changing rapidly with new apps, devices, and data analyses offering a constant stream of innovations and technology integrations for our lives.
As it's an integral part of our lives, we’re working towards computer science for all - making it possible for every student, every future member of society, to understand computing and technology. To do so, we need teachers. Teachers prepared to both teach computational concepts and use best practices so kids enjoy and see they can be successful in computer science. This is where you (and this Specialization) come in!
In this Specialization you will both learn about the impacts of computing in our world and how to teach these impacts to K-12 students. We offer both the technical knowledge and also the pedagogical approaches for teaching these concepts. Along the way you’ll engage with freely available materials you can use in your own classroom, as well as learn from teachers currently teaching these concepts in their classrooms.
In short - in this Specialization we'll teach you the computing concepts you need to know and then help you explore and evaluate lesson plans and resources to prepare you for your classroom.
常見問題
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
What will I be able to do upon completing this course?
How does Amazon know what to suggest you buy? In this course you’ll explore how collection and analysis of our personal data impacts our technology use -- including concerns about our data privacy. You’ll explore underlying technical concepts around cybersecurity and machine learning that contribute to both the pros and cons of our personal data use. After successfully completing this course you will be able to:
[1] Discuss current ways in which personalized data impacts how we “see” things on the internet and ways in which companies are using our data.
[2] Explain key aspects of web technology responsible for collecting, managing and analyzing our data, including internet design issues (cookies, secure web transfer protocols, DNS, deep and dark web), cryptography (ciphers, hashing, encryption), and machine learning and AI (neural networks, recommender systems, speech recognition).
[3] Enact pedagogical knowledge in computer science-specific contexts, including retrieval-based learning, learning with simulators, and creating learning objectives. You’ll explore how one might use a “fun” children’s fiction book for teaching computing concepts.
Can this course help me get the California Supplementary Authorization to teach Computer Science?
Yes! This course is designed as component of a Specialization that is 1 of a set of 4 Specializations (all will be offered on Coursera) that will support the requirements of the California Supplementary Authorization. Additionally, the Specialization may support credentialing or authorization in other states. However, most states require a transcript from an accredited institution of higher education. See the FAQ question on “Will I earn university credit” to find out how to get such a transcript.
Will I earn university credit for completing this course?
Yes, you can earn UCSD credit for completing this course, but only by completing the full Teaching Impacts of Technology in K-12 Education Specialization. In addition, you will need to (1) Enroll in an additional UCSD Extension course before completing the capstone ($500) and (2), complete part of the capstone project via an online proctoring service. After this is done, your Specialization course grades will be accumulated and a transcript with your final grade (both letter grade or pass-only supported) will be issued from UCSD with 4 graduate-level units. These are eligible to count towards the California Supplementary Authorization.
What background knowledge is necessary to succeed in this course?
There is no background knowledge, neither in education nor in Computer Science, required to take this course - just an interest in learning computational concepts about the technology that surrounds us and how to best teach those concepts to others.
Basic proficiency in the use of Googledocs will be needed to complete assignments within the course. Google help documentation will be provided, and with some extra attention, first time use of Googledocs should not be a barrier to successful completion of the course.
What is the value of taking this course online?
By providing this course online, our goal is to enable you to master all the material in the course at a pace that is appropriate for you, rather than the typical processes of picking a specific date and measuring how much you can learn by that date of in-person courses. Instead of the relatively bigger chunks of learning work found in traditional courses (e.g. go to class, read the book, do homework, study for the test) this course has a lot of smaller and more diverse activities that guide your learning experience. We use a lot of online features to:
Break learning into smaller chunks
Engage you more in thinking and discussing content with others
Better integrate and more frequently test your knowledge (with a focus on mastery, allowing you to go back and learn what you missed then come test again)
Give you practice in teaching-specific skills you will need as an educator (finding and evaluating online teaching resources, critiquing and modifying lesson plans)
We hope you enjoy and learn a lot!
還有其他問題嗎？請訪問 學生幫助中心。
