Teaching Impacts of Technology: Data Collection, Use, and Privacy (Coursera)

Teaching Impacts of Technology: Data Collection, Use, and Privacy (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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”.
Course 2 of 6 in the Teaching Impacts of Technology in K-12 Education Specialization.

Syllabus

WEEK 1
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.
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.

WEEK 2
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!)

WEEK 3
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!

WEEK 4
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!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Spreadsheets and Models (Coursera) Coursera
University of Pennsylvania

Introduction to Spreadsheets and Models (Coursera)

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have know how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future.

Jun 8th 2026
4 Weeks
Exploring Light: Hands-on Activities and Strategies for Teachers (Coursera) Coursera
Exploratorium

Exploring Light: Hands-on Activities and Strategies for Teachers (Coursera)

This is an Exploratorium teacher professional development course taught by Teacher Institute staff, open to any science teacher (particularly middle or high school level) and science enthusiast. This is a hands-on workshop that explores topics and strategies teachers can use to help their students become active investigators of light.

Jun 14th 2026
4 Weeks
Disability Awareness and Support (Coursera) Coursera
University of Pittsburgh

Disability Awareness and Support (Coursera)

The goal of this course is to promote equal opportunity and the full participation of students with disabilities in higher education by helping participants advance their awareness of the meaning of accessibility in education. Participants will gain competence and confidence in working with students by focusing on legislation, universal design, and assistive technologies. Thank you to Abbas (Bobby) Husain Quamar, Graduate Student Researcher in the Department of Rehabilitation Science and Technology at the University of Pittsburgh, for his contributions to the course.

Jun 8th 2026
4 Weeks
Performance Assessment in the Virtual Classroom (Coursera) Coursera
University of California, Irvine

Performance Assessment in the Virtual Classroom (Coursera)

Welcome to Performance Assessment in the Virtual Classroom! This course will help you effectively assess student performance virtually, including compliance issues, feedback models, online grade book functions, and data analysis. We will discuss why effective measures of performance and assessment are a crucial component of any virtual program, and the importance of teachers and administrators understanding both the myths and challenges of assessing performance virtually, administering standardized testing with geographical challenges, and complying with state and local requirements to make sure students are meeting requirements.

Jun 8th 2026
5-12 Weeks
English for Teaching Purposes (Coursera) Coursera
Universitat Autònoma de Barcelona

English for Teaching Purposes (Coursera)

Thinking about teaching your university subject in English but it’s not the Language you normally use? Then, English for teaching purposes is the course for you. A course on English and teaching methodology that aims to help university lecturers do their teaching in English, in line with university internationalisation policies. The course structure is the same for all learners and there are opportunities for them to link up with colleagues from universities all over the world who share the same discipline and discourse community, to ask questions and exchange ideas.

Jun 8th 2026
4 Weeks
Reproducible Research (Coursera) Coursera
Johns Hopkins University

Reproducible Research (Coursera)

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations.

Jun 8th 2026
4 Weeks
Infonomics II: Business Information Management and Measurement (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Jun 10th 2026
4 Weeks
Inferential Statistics (Coursera) Coursera
University of Amsterdam

Inferential Statistics (Coursera)

Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs.

Jun 8th 2026
5-12 Weeks
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 8th 2026
5-12 Weeks
Advanced Instructional Strategies in the Virtual Classroom (Coursera) Coursera
University of California, Irvine

Advanced Instructional Strategies in the Virtual Classroom (Coursera)

Welcome to Advanced Instructional Strategies in the Virtual Classroom! This course will help you apply strategies to the critical areas of K-12 virtual instruction to significantly impact virtual education. We will examine the pitfalls beginning teachers run into and learn how to overcome them by focusing on the fundamentals that have the greatest impact on student learning in a blended or online environment. By the end of the course, you will be able to empower your students to be voracious learners who are ready to go out and make the world a better place to live.

Jun 8th 2026
5-12 Weeks
Business Intelligence Concepts, Tools, and Applications (Coursera) Coursera
University of Colorado System

Business Intelligence Concepts, Tools, and Applications (Coursera)

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Jun 8th 2026
5-12 Weeks
The Importance of Listening (Coursera) Coursera
Northwestern University

The Importance of Listening (Coursera)

In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video.

Jun 8th 2026
4 Weeks