Big Data is all around us. In our phones, in our smart assistants, and everything else. This resource helps to show how big data is used in agriculture. In agriculture, big data is used to help farmers manage their farms, drive their tractors, and sell their goods. This resource 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

Data makes the world go around! As we use more technology, more data is being created, recorded, and used. The next task is understanding what it all means!This resource 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

This lesson uses an experiment with paper airplanes to provide data to practice finding percent of change.

Student will:analyze a map of the Chesapeake Baycalculate the mean, median, mode, range, and numbercreate an appropriate graphinvestigate data provided by the James River and apply learning

The resource has been developed to support divisions in the development of a balanced assessment plan.

In this simulation of a doctor's office, students play the roles of physician, nurse, patients, and time-keeper, with the objective to improve the patient waiting time. They collect and graph data as part of their analysis. This serves as a hands-on example of using engineering principles and engineering design approaches (such as models and simulations) to research, analyze, test and improve processes.

Students use their senses to describe what the weather is doing and predict what it might do next. After gaining a basic understanding of weather patterns, students act as state park engineers and design/build "backyard weather stations" to gather data to make actual weather forecasts.

This lesson has students complete a basketball activity and then use the data from the activity to create a scatterplot. Once they create their scatterplot they determine correlation and draw a line of best fit.

This article provides a brief discussion of the importance of teaching students to analyze data and representations of data as well as two resources that can help teachers implement these strategies into their instruction.

This activity will show the sorting process using the Bubble Sort Brute Force algorithm that is used by a computer when sorting data without using a computer.

Data can be used to help students understand their world and answer interesting questions. In this lesson, students will collect data from a Play Lab project and visualize it using different kinds of graphs.

By running a simple simulation in Sprite Lab, students will experience how computing can be used to collect data that identify trends or patterns. After running the simulation multiple times, students will have an opportunity to make a prediction about how changing a variable in the simulation might impact the outcome, and then test that hypothesis.

Students are introduced to the "Walk the Line" challenge question. They write journal responses to the question and brainstorm what information they need to answer the question. Ideas are shared with the class (or in pairs and then to the class, if class size is large). Then students read an interview with an engineer to gain a professional perspective on linear data sets and best-fit lines. Students brainstorm for additional ideas and add them to the list. With the teacher's guidance, students organize the ideas into logical categories of needed knowledge.

This mini lesson is a slides presentation on circle graph.  It's about how much time students spend on homework.  The lesson has questions pertaining to the topics and which one is more or less. etc.

Exploring data collection and graphing -- Mathematics Instructional Plans (MIPs) help teachers align instruction with the 2016 Mathematics Standards of Learning (SOL) by providing examples of how the knowledge, skills and processes found in the SOL and curriculum framework can be presented to students in the classroom. 

Students pass around and distort messages written on index cards to learn how we use signals from GPS occultations to study the atmosphere. The cards represent information sent from GPS satellites being distorted as they pass through different locations in the Earth's atmosphere and reach other satellites. Analyzing GPS occultations enables better global weather forecasting, storm tracking and climate change monitoring.

In this activity, students will explore the idea of “data” and how it provides a lens through which to view different aspects of human experience. Students will interrogate the affordances and constraints of data as a form of representation and speculate about the effects data can have on human perception and behavior by fitting data into different schemata, developing their own data schemata, and comparing the data schemata of different institutions in their lives with the schemata they develop to represent themselves.

In this extension, students will evaluate the role of data collection in their lives. They’ll identify some common data collection practices, evaluate the ethics of those practices, and develop a framework for thinking about when data collection is appropriate and when it is exploitative.

In small groups, students will be assigned two of the first ten amendments and pose the questions, “Which of these two amendments do you think is more important?” and “Why do you believe this?” in a survey of ten classmates. Then they will collect and organize the data electronically to create two visual representations of their information. Students will add their raw data and visualizations to a shared slideshow to present their findings to the class and explain why they chose this particular visualization model and what conclusions they can draw from their survey responses.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.

This is a google slides mini lesson on finding the mean of a set of data.  The first slide consists of the definition of mean.  Students will solve what a mean is and will make a text box and type the answer in it, then complete the slides.