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Teaching Impacts of Technology: Data Collection, Use, and Privacy
Coursera
Course
Unknown

Teaching Impacts of Technology: Data Collection, Use, and Privacy

University of California San Diego

Explore data collection impacts, privacy issues, and teaching strategies to help pre-college learners understand digital data use and protection.

Unknown5 weeksEnglish3,354 enrolled

About this Course

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”

What You'll Learn

  • Understand data collection and privacy impacts
  • Evaluate lesson plans and teaching resources
  • Learn pedagogical techniques for data literacy
  • Explore tracking technologies and privacy concepts
  • Apply concepts in classroom settings

Prerequisites

  • Basic computer and internet skills
  • Ability to follow instructions and complete exercises

Instructors

B

Beth Simon

Teaching Professor

Topics

Education
Social Sciences
Computer Security and Networks
Computer Science
Data Security
Machine Learning
Encryption
Information Technology
Web Applications
Cybersecurity

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تعليم
علوم اجتماعية
أمن الشبكات
علوم الحاسوب
أمن البيانات
تعلم الآلة
التشفير
تكنولوجيا المعلومات
Web Applications
Cybersecurity

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