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

University of Queensland via

University of Queensland

5 Courses


The University of Queensland is a globally recognized university, listed among the top universities worldwide and provides a range of degrees and research opportunities. Known for its excellence in education, UQ is an exceptional university for both local and international students.

course image

Overview

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

In this course, you'll delve into the influence of constant data collection and big data analysis on daily life. Discover the fine balance between using and safeguarding your data, and consider its potential future benefits. The journey includes paired teaching sections that examine specific "Impacts of Computing" and the enabling "Technologies and Computing Concepts," tailored for K12 students.

This course forms part of a comprehensive Specialization, designed to provide deep insights into computing concepts across five distinct digital "worlds." Gain pedagogical skills, evaluate lesson plans, and access resources for effective classroom use. Ultimately, you'll be ready to empower pre-college students to navigate and excel in their digital environment.

In the "personal data" digital world, explore these Impact & 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
    Technologies 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
    Technologies and Computing Concepts: AI vs ML, Supervised vs Unsupervised learning, Neural Networks, Recommender systems, Speech recognition

In the pedagogy section, explore best practices for teaching computing concepts including:

  • Applying Bloom’s taxonomy to formulate meaningful CS learning objectives
  • Understanding the importance of retrieval-based learning
  • Building learning activities with online simulators
  • Using engaging books to teach computing

This course aligns with the CSTA K-12 computer science standards, covering learning objectives primarily within the "impacts of computing" concept. It also touches on the "networks and the Internet" and "data and analysis" concepts. Practices addressed include fostering inclusive computing culture, recognizing and defining computational problems, and communicating about computing.

University: University of Queensland

Provider:

Categories: Artificial Intelligence Courses, Machine Learning Courses, Big Data Courses, Cybersecurity Courses, Cryptography Courses, K12 Courses

Syllabus


Taught by

Beth Simon


Tags

united states