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Data Literacy in a Global Society


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Learn About Big Data!

Pathway: Computer Science + AI Stage: Advanced
Age:  15-18 Grade (US): 9-12
Pathway: Computer Science + AI
Age:  15-18
Stage: Advanced
Grade (US): 9-12

In this course, you will be exploring the areas of computational thinking, data literacy, automation, and flowcharts. These are important concepts to learn about prior to learning programming in the modern world. You will also learn how skills in these areas connect to different problems and solutions in our global society.

This course will shed light on the ways in which data is transforming our economy, including how it is affecting: 

  • Media consumption habits and choices
  • World stock markets and currency exchange
  • The Internet of Things
  • World politics
  • Problem-solving in areas of health, transportation, science, and urban planning
  • Storytelling using Information Analysis

In addition, you will learn about new career options and opportunities opened up by technology, globalization, and data analysis.

Learning Outcomes

1

Students use technology to seek feedback that informs and improves their practice and to demonstrate their learning in a variety of ways.

2

Students evaluate the accuracy, perspective, credibility, and relevance of information, media, data, or other resources.

3

Students build knowledge by actively exploring real-world issues and problems, developing ideas and theories, and pursuing answers and solutions.

4

Students formulate problem definitions suited for technology-assisted methods such as data analysis, abstract models, and algorithmic thinking in exploring and finding solutions.

5

Students collect data or identify relevant data sets, use digital tools to analyze them, and represent data in various ways to facilitate problem-solving and decision-making.

6

Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.

7

Students understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.

8

Students use digital tools to connect with learners from a variety of backgrounds and cultures, engaging with them in ways that broaden mutual understanding and learning.

Method of Instruction

This course is intended for instructor delivery, either in-person or remotely. All instructional resources (lesson slide, handouts, quizzes, assessments, etc) can be downloaded for individual teacher customization and use. Should you have any questions regarding the curriculum, please do not hesitate to contact Digital Media Academy Support through the LMS.

 

Teacher Guide

The Teacher Guide contains all information required to deliver this Digital Media Academy Foundations course.

 

Curricular Connections Guide

Science, Language Arts, and Math curriculum integrations build student competency in core academic subjects while addressing essential, 21st-century technology skills. This Curricular Connections Guide is designed to spark your imagination of how to bring this course to life in your own classroom.

Standards Alignment

This course is aligned to national and international standards for technology education. Standards include: International Society for Technology in Education (ISTE), International Baccalaureate , UK National Curriculum, New Zealand Curriculum, and more!

Required Materials & Equipment

  • Access to Computers or Tablets with an internet connection
  • Google, Youtube, Word Processor, Spreadsheet Software
  • Digital or Paper Notebook

Career Pathways 

Developer, Web developer, Computer Systems Analyst, Network Architect, Business Intelligence, Information/cybersecurity, Health Informatics, Computer Forensics, Sports Science, App Designer, and Developer in different fields.

Here is the course outline:

Getting Started

Read me first.

1 section
Getting Started

Teacher Resource

Covering Course Description, Teacher Guide, Learning Outcomes, Requirement Materials and Equipment, Career Pathways, and Standards Alignment

15 sections
Course Overview and Teacher Guide
Lesson Preparation Materials
Questions and Assignments - Course Overview
Modules 1 - 2 Video
Questions and Assignments - Modules 1 - 2
Quiz - Modules 1 - 2
Modules 3- 5 Video
Questions and Assignments - Module 3 - 5
Quiz - Modules 3 - 5
Standards Alignment
Student Assessment Tools
Projects, Quizzes and Discussions by Module
Student Self-Assessment
Assessment Rubric
Curricular Integration and Assessment

Module 1: Computational Thinking (CT)

Discover, explore and apply skills related to computational thinking and data literacy.

3 sections
Lesson 1: Introduction to Computational Thinking
Lesson 2: Introduction to Data Literacy
Lesson 3: Data Automation in Your Life

Module 2: Flowcharts

Learn about flowcharts and how they relate to programming.

2 sections
Lesson 4: Introduction to Flowcharts
Lesson 5: Creating Flowcharts

Module 3: Computational Thinking in a Global Society

Learn about the impact of computational thinking in our global society.

5 sections
Lesson 6: Data and Algorithms in Our Lives
Lesson 7: Television, Data LIteracy and Algorithms
Lesson 8: Data Literacy and Politics
Lesson 9: Protecting Ourselves
Lesson 10: Data Analysis and Storytelling

Module 4: My Job Did Not Exist 5 Years Ago!

Career opportunities inspired through technological innovation.

2 sections
Lesson 11: The Internet of Things // IoT
Lesson 12: New Technologies, New Careers

Module 5: Culminating Project

Students complete a final project on data literacy in a global society.

1 section
Lesson 13: Final Project

Student Showcase

Now it's time to show off your projects!

2 sections
How to Lead a Student Showcase
Student Showcase

Completion

The following certificates are awarded when the course is completed:

LSSW Course Completion Certificate