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 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.

In this activity, participants plan and conduct a plant growth experiment while considering the role of data quality in automated systems in agriculture. The timing of the activity is highly dependent on the seed variety that you are growing and the level of familiarity that participants already have with basic plant science and scientific investigation concepts, but will likely take several weeks. This activity is part of the Agricultural Cyberbiosecurity Education Resource Collection that contains resources for formal and non-formal agricultural educators working with middle school aged youth. Published as Open Educational Resources, all resources are provided in durable (pdf) and customizable (MS Word) formats. They are hosted on  GoOpenVA in a unique resource collection, Ag Cybersecurity Virginia Tech, at https://goopenva.org/curated-collections/143 and on on Virginia Tech’s stable repository, VTechWorks at https://doi.org/10.21061/cyberbiosecurity

Students will create a program using Sphero Bolts to demonstrate how energy moves through a food web. They will explain the interactions between different organisms and how energy is transferred in a biological community.

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.