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”.
Este curso faz parte do Programa de cursos integrados Teaching Impacts of Technology in K-12 Education
Teaching Impacts of Technology: Data Collection, Use, and Privacy
oferecido por
Programa de cursos integrados Teaching Impacts of Technology in K-12 EducationUniversity of California San Diego
Programa - O que você aprenderá com este curso
Semana
1Course 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 vídeos (total de (Total 12 mín.) min), 3 leituras, 1 teste
3 leituras
Are You Wanting UC, San Diego transcript credit?5min
Engagement and Assessment Goals5min
Using Googledoc Templates in this Class5min
1 exercício prático
Orientation Quiz - Make Sure you Know the Score7min
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 vídeos (total de (Total 19 mín.) min), 5 leituras, 9 testes
7 videos
Your First Interactive Reading11min
Check Your Knowledgemin
In Your Experience: HTTPSmin
Check Your Knowledgemin
What is Teacher Powerup?2min
Check Your Knowledgemin
5 leituras
Internet Privacy Test Tool Activity10min
Where's my interactive reading grade?3min
Cookies: What You Need To Know40min
The Web vs The Internet8min
Secure Web Browsing: HTTPS15min
2 exercícios práticos
Mastery Quiz Part 124min
Mastery Quiz Part 224min
Semana
2Data 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 vídeos (total de (Total 3 mín.) min), 8 leituras, 4 testes
5 videos
Check Your Knowledgemin
Check Your Knowledgemin
In Your Experience: Deep Dark Webmin
Check Your Knowledgemin
8 leituras
What does your ISP (Internet Service Provider) know about you?8min
Why Not Redesign The Internet to Be Secure?6min
How Bad Should You Feel About Not Reading "Terms and Conditions"?11min
Domain Name Systems12min
Cryptography Keeps Information Safe10min
Keeping Information Secure on the Internet: Hashing and Encryption14min
SSL Certificates2min
Secrets of the Deep Dark Web15min
2 exercícios práticos
Mastery Quiz Part 120min
Mastery Quiz Part 220min
Semana
3Data 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 vídeos (total de (Total 2 mín.) min), 3 leituras, 8 testes
4 videos
Check Your Knowledgemin
Check Your Knowledgemin
Check Your Knowledgemin
3 leituras
Machine Learning Methods: Supervised vs. Unsupervised13min
Activity: Train a Neural Network20min
Optional: How Siri Works0
2 exercícios práticos
Mastery Quiz Part 110min
Mastery Quiz Part 212min
Semana
4Impacts 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 vídeos (total de (Total 28 mín.) min), 5 leituras, 6 testes
6 videos
Overview3min
Retrieval-Based Learning: How and When16min
In Your Experience: What Are These Questions Asking?min
Bloom's Taxonomy3min
Check Your Knowledgemin
5 leituras
Preview: FACT #23 Guided Reciprocal Peer Questioning10min
So How Would I Teach With That?4min
Extra Teacher Resources0
Let's Experience It!3min
Different Approaches to Supporting Learning5min
2 exercícios práticos
Retrieval Practice Quiz: Any answer full points22min
Mastery Quiz4min
Instrutores
Beth Simon
Teaching ProfessorEducation Studies
Sobre University of California San Diego
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.
Sobre o Programa de cursos integrados Teaching Impacts of Technology in K-12 Education
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
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!
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