TWENTY amazing lessons to teach computer science to Grades 3 to 5.
The curriculum is organized into 5 units: Scratch Review, Creative Commons, Makey Makey, Conditionals and Final Project.
If you need something easier be sure to use the Green level (Level 1) by using the tabs at the top of the website or finding it in the resource bank. If you need something harder head to Purple (Level 3) using the same method.

This fabulous resource has everything you need to get started coding and computer science with your students TODAY!

TWENTY amazing lessons to teach computer science to Grades 3 to 5.
The curriculum is organized into 5 units: Scratch review, variables, Makey Makey, advanced games and final project.
If you need something easier be sure to use the Green level (Level 1) or Blue level (Level 2) by using the tabs at the top of the website or finding it in the resource bank.

This fabulous resource has everything you need to get started coding and computer science with your students TODAY!

This site has a series of pre-made free lesson plans that are ready to teach right away. MATH, ELA, SCIENCE, SEL, CAREER, ART, DIGITAL LITERACY, TECH, STEM

They have clips of popular movies and TV shows built right in - and you are allowed to use them bc the site is made by AT
&T and Warner Bros.

"The Achievery helps connect students to a new world of digital learning through stories that spark curiosity and content that entertains as well as teaches."

Don't miss checking this one out! You can use the filters to find exactly what you need.

Copy and paste this url into a browser to watch a short 1 min intro video - https://youtu.be/w-y0u82ps3o

You will have to sign up to access the lessons but it's totally worth it.

Working with either Edison or Microbit systems, students will gain an understanding of the importance of automation in agriculture while working together to complete a series of fun coding activities. Note: This resource is designed to compliment the Edison and Microbit courses offered through SaskCode. Edison and Microbit systems are not supplied by AITC-SK. You will need to have an AITC SK account and log in to access this resource.

In the first of two sequential lessons, students create mobile apps that collect data from an Android device's accelerometer and then store that data to a database. This lesson provides practice with MIT's App Inventor software and culminates with students writing their own apps for measuring acceleration. In the second lesson, students are given an app for an Android device, which measures acceleration. They investigate acceleration by collecting acceleration vs. time data using the accelerometer of a sliding Android device. Then they use the data to create velocity vs. time graphs and approximate the maximum velocity of the device.

Please find the full 44 page resource attached.  The resource includes:15 Projects for any novel that revolve around:character traitsgenreplotthemesetting and moodvocabularyProjects include:notesprintable activitiesgraphic oganizersteachable videosThinklinkScratch codingbook tastingSoundtrap music makerand more! 

Instructors can now freely access "App Development with Swift" through the Canvas Commons. The course includes lessons, teacher guides and developer tools for use in the classroom.
You will need to work with apple products or iOS for this resource.

Free online coding courses (based out of Australia) for students in grade 3-12.

Learn computer programming with the friendliest app ever!

Learn alongside your students. Project-based curriculum.

Free and paid versions are available. Try 36 lessons free.

For education, you have access to all of the curriculum lessons, email support and PD.

In this lesson, students go further into the collection and interpretation of data, including cleaning and visualizing data. Students first look at the how presenting data in different ways can help people to understand it better, and they then create visualizations of their own data. Using a the results of a preferred pizza topping survey, students must decide what to do with data that does not easily fit into the visualization scheme that they have chosen. Finally, students look at which parts of this process can be automated by a computer and which need a human to make decisions.

In this lesson students get practice making decisions with data based on some problems designed to be familiar to middle school students. Students work in groups discussing how they would use the data presented to make a decision before the class discusses their final choices. Not all questions have right answers and in some cases students can and should decide that they should collect more data. The lesson concludes with a discussion of how different people could draw different conclusions from the same data, or how collecting different data might have affected the decisions they made.

Students begin the lesson by looking at a cake preference survey that allows respondents to specify both a cake and an icing flavor. They discuss how knowing the relationship between cake and icing preference helps them better decide which combination to recommend. They are then introduced to cross tabulation, which allows them to graph relationships to different preferences. They use this technique to find relationships in a preference survey, then brainstorm the different types of problems that this process could help solve.

In this lesson students look at a simple example of how a computer could be used to complete the decision making step of the data problem solving process. Students are given the task of creating an algorithm that could suggest a vacation spot. Students then create rules, or an algorithm, that a computer could use to make this decision automatically. Students share their rules and what choices their rules would make with the class data. They then use their rules on data from their classmates to test whether their rules would make the same decision that a person would. The lesson concludes with a discussion about the benefits and drawbacks of using computers to automate the data problem solving process.

To conclude this unit, students design a recommendation engine based on data that they collect and analyze from their classmates. After looking at an example of a recommendation app, students follow a project guide to complete this multi-day activity. In the first several steps, students choose what choice they want to help the user to make, what data they need to give the recommendation, create a survey, and collect information about their classmates' choices. They then interpret the data and use what they have learned to create the recommendation algorithm. Last, they use their algorithms to make recommendations to a few classmates. Students perform a peer review and make any necessary updates to their projects before preparing a presentation to the class.

In this lesson, students look at how data is collected and used by organizations to solve problems in the real world. The lesson begins with a quick review of the data problem solving process they explored in the last lesson. Then students are presented three scenarios that could be solved using data and brainstorm the types of data they would want to solve them and how they could collect the data. Each problem is designed to reflect a real-world service that exists. After brainstorming, students watch a video about a real-world service and record notes about what data is collected by the real-world service and how it is used. At the end of the lesson, students record whether data was provided actively by a user, was recorded passively, or is collected by sensors.

In the first lesson of the data unit, students get an overview of what data is and how it is used to solve problems. Students start off with a brief discussion to come to a common understanding of data. They then split into groups and use a data set to make a series of meal recommendations for people with various criteria. Each group has the choices of meal represented in a different way (pictures, recipes, menu, nutrition) that gives an advantage for one of the recommendations. Afterwards, groups compare their responses and discuss how the different representations of the meal data affected how the students were able to solve the different problems.

In this lesson students create their own system for representing information. They begin by brainstorming all the different systems they already use to represent yes-no responses. They then work in small groups to create a system that can represent any letter in the alphabet using only a single stack of cards. The cards used have one of 6 different possible drawings (6 animals, 6 colors, etc.) and so to represent the entire alphabet students will need to use patterns of multiple cards to represent each letter. Students create messages with their systems and exchange with other groups to ensure the system worked as intended. In the wrap-up discussion the class reviews any pros and cons of the different systems. They discuss commonalities between working systems and recognize that there are many possible solutions to this problem and what's important is that everyone use the same arbitrary system to communicate.

In this lesson students learn to use their first binary system for encoding information, the ASCII system for representing letters and other characters. At the beginning of the lesson the teacher introduces the fact that computers must represent information using either "on" or "off". Then students are introduced to the ASCII system for representing text using binary symbols. Students practice using this system before encoding their own message using ASCII. At the end of the lesson a debrief conversation helps synthesize the key learning objectives of the activity.

In this lesson students learn how computers represent images. To begin the lesson they consider the challenge of turning all the complexity of vision into a binary pattern. Through a series of images showing how this transformation is made students are introduced to the concept of splitting images into squares or "pixels" which can then be turned on or off individually to make the entire image. Students then do a short set of challenges using the Pixelation Widget in order to draw black and white images. Puzzles are designed to call out some of the challenges of representing images in this way. In the wrap up students make connections between the system for representing images and the system for representing text they learned in the previous lesson.

In this lesson, students learn about the binary number system. With a set of cards that represent the place values in a binary (base-2) number system by a collection of dots, students turn bits "on" or "off" by turning cards face up and face down, then observe the numbers that result from these different patterns. Eventually, students extend the pattern to a generic 4-bit system.