Design a Poll

Design a Poll

Often, data is collected using a poll or survey. A poll or survey asks questions about people’s opinion on a topic. In this activity, you will design and conduct your own poll.
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Tilt Sensor

Tilt Sensor

From Bots!

Make a simple tilt sensor with LED lights that indicate which way it's leaning.

Draw Your Own Cartoon

Draw Your Own Cartoon

From Crazy Contraptions

Start your creative juices flowing by drawing your own cartoon.

Design a Space Robot

Design a Space Robot

From Robotics!

Think of what planet you would like to explore and design a robot based on the planet you chose.

Take a Turing Test

Take a Turing Test

From Artificial Intelligence

In 1950, an English computer scientist named Alan Turing (1912–1954) devised a test to tell a person from a computer. You’re going to try this with a Chatbot. This is an online computer program that is designed to mimic a human.



School Library Connection
"Part of the Technology Today series, this title is a solid, well-written, and nicely formatted introduction to the concept of data as it exists in our world. Mooney's book is comprehensive in scope, but clear and organized in delivery, explaining the history, nature, and ever-expanding extent of data, and the purposes of data collection, recoding, and analysis. A basic timeline, for instance, beginning with the 1085 census recorded in the Domesday Book and ending with the mention of the 2.2 billion monthly users of Facebook, is supplemented in the text by information about the history and development of computers and their growing ability to collect, record, and store vast amounts of data. Further definitions and additional facts are provided in sidebars, and various QR codes link to primary resources and other materials. The related activities are engaging, well-explained, and instructive, although a few require a degree of prior knowledge. These are used to illustrate concepts, such as binary numbers and processes or data collection through polls. . . An excellent purchase indeed. Glossary. Highly Recommended"

Professor Yael Grushka-Cockayne, University of Virginia Darden School of Business
“The book is great fun! It is jam-packed with fun activities that really bring the idea of data to life.  It is comprehensive and offers a lot of useful examples for the use of big data.”


Detailed Book Description

Have you watched videos online today? Did you post photographs on social media? Did you upload your English essay to Google docs? All of these are questions about data!

In Big Data: Information in the Digital World with Science Activities for Kids, readers ages 10 to 15 explore the definition of data and learn how essential it is to our everyday lives. They learn about the history of data, the transition from paper to computers, and the role that search engines such as Google play in handling data. By making connections between the relationships among data, computers, and people, middle school kids also acquire the tools they need to become better digital citizens!

Throughout Big Data, STEAM investigations and experiments provide hands-on, problem-solving opportunities for students that incorporate various challenges and tools. Using readily available household items and recycled materials, each activity will take the reader through an inquiry-based, open-ended investigation that leaves plenty of room to explore individual creativity. With essential questions, fun facts, and links to online primary sources and videos, kids will mine the topic of big data and become better, more informed digital citizens of the world!

Available In:
Hardcover, $22.95
Paperback, $17.95
Includes: Table of Contents | Timeline | Maps | Glossary | Resources | Index | Metric Conversions Chart
Specs: 8 x 10 size | 4-color interior | 128 pages
Subject: Science
Content Focus: Engineering & Technology



What Is Big Data?

Chapter 1
Where Does Data Come From?

Chapter 2
The Transition from Paper to Computers

Chapter 3
How Computers Store Data

Chapter 4
Data Gets Big!

Chapter 5
Understanding Data

Chapter 6
The Future of Big Data

Metric Conversions Resources
Essential Questions