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

Assessment in Higher Education: Professional Development for Teachers (Coursera) Coursera
Erasmus University Rotterdam

Assessment in Higher Education: Professional Development for Teachers (Coursera)

Are you a teacher in higher education wanting to get the best out of your students and assessments? Then on behalf of Risbo, Erasmus University Rotterdam, we would like to welcome you to this MOOC on Assessment in Higher Education. In this MOOC we will guide you through the different phases of preparing, creating and evaluating the assessments in your course.

Sep 14th 2026
5-12 Weeks
Data Management for Clinical Research (Coursera) Coursera
Vanderbilt University

Data Management for Clinical Research (Coursera)

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set.

Sep 14th 2026
5-12 Weeks
Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Sep 14th 2026
5-12 Weeks
Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction.

Sep 14th 2026
5-12 Weeks
面向对象技术高级课程 (The Advanced Object-Oriented Technology) (Coursera) Coursera
Peking University

面向对象技术高级课程 (The Advanced Object-Oriented Technology) (Coursera)

如果将软件开发人员看作行走江湖的武侠,那么各种软件开发技术就是武侠赖以傍身的武术秘籍。有的秘籍以易学灵巧见长,练习者很快掌握,并有立竿见影的功效,但失之厚重持久;有的秘籍初学乍练顿显困难,虽冥思苦解仍不得要领,需坚持不断的内功修炼方成正果,却是成为武林大侠必备的至宝。本课程有些类似于后者。

Sep 14th 2026
13-24 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Sep 14th 2026
4 Weeks
Critical Issues in Urban Education (Coursera) Coursera
University of Chicago

Critical Issues in Urban Education (Coursera)

Urban school reform in the United States is characterized by contentious, politicized debate. This course explores a set of critical issues in the education and educational reform space, with a focus on aspects of the field that have sparked controversy and polarized views. We will dig into these debates, situating them within the larger history of public education and school reform, and considering the viewpoints, the evidence, and translation of issues into educational policy.

Sep 14th 2026
5-12 Weeks
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026
4 Weeks
Training and Learning Programs for Volunteer Community Health Workers (Coursera) Coursera
Johns Hopkins University

Training and Learning Programs for Volunteer Community Health Workers (Coursera)

Volunteer community health workers (CHWs) are a major strategy for increasing access to and coverage of basic health interventions. Our village health worker training course reviews the process of training and continuing education of CHWs as an important component of involving communities in their own health service delivery. Participants will be guided through the steps of planning training and continuing education activities for village volunteers. The course draws on real-life examples from community-directed onchocerciasis control, village health worker programs, community case management efforts, peer educators programs and patent medicine vendor training programs, to name a few.

Sep 14th 2026
5-12 Weeks
Reproducible Templates for Analysis and Dissemination (Coursera) Coursera
Emory University

Reproducible Templates for Analysis and Dissemination (Coursera)

This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications.

Sep 14th 2026
5-12 Weeks