In this lesson, the students will learn what a graph is and why we use graphs. We will look at an example of an object and picture graph, discuss the parts of a graph, and then create a class graph. By the end of the lesson, students will work to create their own graph.

In this assignment, students will spend time discussing the characteristics of weather and the importance of tracking weather and making predictions to be prepared, as well as graphing data.

Using the Green Screen app, students will create short theatrical scenes to experience how Green Screens can be used to enhance a theatrical budget.

In this lesson, students will code a robot to move on a grid toward certain objectives.

Students will practice writing out code in a step-by-step manner and get familiar with debugging.

Students will be creating their own growing pattern using manipulatives, such as shapes, pattern blocks, or linking cubes. In creating their own growing pattern, students will debug to make sure that their growing pattern is correct. Students will also be given growing patterns with a mistake and they will have to debug to find the error and fix it.

Students will analyze groups of items and compare and contrast the attributes that led to the development of a group like living or nonliving and subsets like animals and plants. When categorizing attributes students must make observations of patterns, similarities, and differences in physical properties to further divide the group into subsets. In computer science, actions can be classified as algorithms. Students will use a dichotomous key to classify and place organisms into specific subsets within a pond ecosystem based on their physical attributes.

Students will explore real hardware materials and software to complete a t-chart/sort based on characteristics.

Students interact with Scratch to review continents and oceans. Students edit a Scratch template to begin to explore code. 

Students will create a question, gather data, and learn about how to use If-Then Statements in Excel to organize that data. They will end up with a histogram that models the data they collected and be able to discuss the importance of how they grouped the data to give the best analysis of their question.

As students deal with volumes of information during their research endeavors, they must develop analyzing skills that follow ethical guidelines. In this lesson, they will evaluate the reliability of information. The students will act as historians to authenticate information. They will be able to verbalize these social and ethical issues in a Socratic Seminar format.

Students will learn about the history of the internet and how it functions today, and create a presentation on the internet based on what they research. Students will be able to explain the history of the internet (the topic of the lesson) using the English skills pertaining to a chronological organizational pattern, namely, the use of a timeline and signal/transitional words and phrases.

Biomechanical engineering is an interdisciplinary field of science that applies the rules and principles of mechanical engineering to biological systems. It combines elements of many disciplines, including biology, engineering, physics, chemistry, and mathematics to better understand how physical forces influence living organisms. A biomechanical engineer may find work in the medical, scientific, industrial or governmental sectors. It is also sometimes considered a subset of Mechanical Engineering or Biomedical Engineering.

Cyber Security, the protection of our information via computers and the internet is one of the fastest growing industries in Virginia and around the world. According to the US Bureau of Labor Statistics Cyber Security Analysts (also known as Information Security Analysts) will grow by 37% over the next 10 years. That’s a much faster growth rate than the average for all other occupations.

Just about everything you can do on a computer—checking your email, posting to Facebook, online banking and shopping—is powered by software. The people who come up with that software, and keep it working efficiently, are behind the scenes of a big portion of our lives.  Software engineering is an exciting career,.In this remix, some reflections questions for students have been added.

Just about everything you can do on a computer—checking your email, posting to Facebook, online banking and shopping—is powered by software. The people who come up with that software, and keep it working efficiently, are behind the scenes of a big portion of our lives.  Software engineering is an exciting career,.

Data can be collected, organized, and interpreted in a variety of ways. Often, there is irrelevant or erroneous data that can distort the results of any analysis. Data scientists spend up to 80% of their time cleaning these data points. In this lesson, students will learn to collect data, record it on a spreadsheet, and sort the data in ascending order. Once the data has been sorted, students will identify the measures of center (mean, median, mode, and range) for the data. Students will “clean” their data by detecting any outliers and removing them from the data set and analyzing the effect removing these data points has on the measures of center.

This lesson will continue over the scope of your Science 3.6 unit on soil. One of the “green leafs” under Essential Skills and Processes requires students to plan and conduct an investigation that determines how different types of soil affect plant growth. Students will come up with their own hypothesis (based on what they have learned so far in class) on which soil will help the plant grow best, conduct the experiment, record data in their science notebook, transfer that data into a Google Slide bar graph, analyze their computer graph data, then come up with a conclusion based on the evidence.

Students analyze a chart with the characteristics of the three colonial regions and determine a better way to visualize the information that shows the similarities and differences between the three.This material is based upon work supported by the National Science Foundation under Grant No. 2010256.Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.