The goal of this activity is to build critical thinking skills and excitement for Computer Science / Computational Thinking, while laying a foundation of fundamental programming concepts. By scaffolding basic concepts like sequencing and algorithms in an unplugged activity, students who are intimidated by computers can still build a foundation of understanding. In this lesson, students will learn how to develop an algorithm and encode it into a program.By "programming" one another to draw pictures, students experience some of the core concepts of programming in a fun and accessible way. The class will start by having students view a video of a simple program demonstrating how to develop instructions for building a peanut butter and jelly sandwich. Students will start with simple shapes, and progress to the coding of a specific drawing that other students will then try to replicate (“running the program”). If there is a desire to have a more of a Math slant on the lesson, the drawing could take place on graph paper. Students would then use the coordinates to complete the drawing. 

This lesson incorporates both computer science and mathematics to analyze coding with patterns and proportional relationships. It uses the Turtle library with Python programming.

This is a matching game that utilizes the vocabulary from the Computer Science SOLs 7.8 and 7.9 from the Data and Analysis strand. 

The student will use a table of personal data collected about plugged/unplugged activites and times of rest throughout the period of one week (7 days) to document screen times in comparison to active and restful breaks for a computer science integration and digital balance project.This Part 1 activity uses the data collected in a table to teach students how to copy and paste a table from Docs into Slides, and how to develop a Slideshow Presentation with tables (Part 1) and graphs (Part 2).  Students are given opportunities to collect and analyze data, to enter information into tables and graphs, to develop and share presentations in Slides, as well as summarize and draw conclusions about the data collection, graphing, and results as comparable to their peers, digital categories, or peer groups (Gamers vs YouTubers, Boys vs Girls, etc.).The goal/s of this unit is to help students realize the importance of living a digitally balanced life and to help students develop skills for creating and using digital tables and graphs with an introduction to data collection and analysis.

The student will use previously collected personal and peer data (Part 1: Screen Time Logs) to graph a bar and pie graph in Slides using Sheets to graph the data collected.This is the second part of an intended presentation project for a computer CTE middle school class, but can be edited and adapted for any graphing and/or computer integration lessons about bar and pie graphs and how to make them in Google Sheets using Google Slides.

Vocabulary posters for the Data & Analysis strand for Grade 7. Words included are from the 2017 Computer Science Curriculum Framework.

NASA eClips Real World:  Food Security -- Monitoring Crops from SpaceVideo Description:  Discover how NASA's Earth-observing satellites gather data to monitor food growth. Dr. Inbal Becker-Reshef describes how mathematics is used to interpret satellite data and describe vegetation and crop yield. Dr. Hannah Kerner shares how algorithms and models use NASA data to describe and predict food supply and food shortages. This work through NASA Harvest provides tools for farmers and governments to describe and predict food security worldwide. Video Length:  5:25.NASA eClipsTM is a suite of online student-centered, standards-based resources that support instruction by increasing STEM literacy in formal and nonformal settings.  These free digital and downloadable resources inform and engage students through NASA-inspired, real-world connections.NASA eClips Real World segments (grades 6-8) connect classroom mathematics to 21st Century careers and innovations.  They are designed for students to develop an appreciation for mathematics through real-world problem solving.

Students will be able to use a visual tool to map out a mathematical expression and be able to code into the pyret computing program.

In this lesson students will be able to identify that computers, like the solar system, complete predictable actions based on a set of variables. Students will learn about the solar system via Scratch.  They will explore block coding and computational thinking practices as they utilize Scratch as a tool for creativity, expression and learning about the Solar System. 

Students Compare Theoretical and Experimental Probability by gathering date, experimenting, and creating a graph.