In this lesson, students will engage in socio-political critique as they think through what might happen when people fail to successfully complete different parts of the problem-solving process. Students will engage in a case study of Summit Learning, a “personalized” learning platform that led to protests and walkouts. They will think through how the designers of Summit Learning failed to solve their problem, and then make a plan to solve a problem of their own using the problem-solving process.

In this activity, students will use a model of a computer, taking the form of a sort of board game, to explore writing programs that include input, output, variables, and arithmetic. Students will read, write, and debug pseudocode as they work on solving simple programming problems using manipulatives. This lesson is part of the ECS+Python lesson set, providing supplemental Python curricular material for the Exploring Computer Science curriculum.

"In this lesson, students will read and trace a “Hello World'' Python program to learn how to display simple output. Then, they will create an “Addition Calculator” to learn how to work with variables and arithmetic operators. At the end, students will modify and complete partially-written Python programs, applying their knowledge of variables and arithmetic operations. This lesson is part of CodeVA's ECS+Python lesson set, providing alternative units for the Exploring Computer Science curriculum covering basic Python coding concepts.

In this project, students create a program that performs calculations on input values to produce formatted output. Students will choose a project to create from a list of three options, or generate their own option that meets the activity requirements. This lesson is part of CodeVA's ECS+Python lesson set, providing alternative units for the Exploring Computer Science curriculum covering basic Python coding concepts.

In this lesson, students will explore the “Testing Random Numbers” program to learn how to generate random numbers and use if-statements to make comparisons. Then, they will create a “Roll the Dice Game” to learn how to work conditionals and random numbers. At the end, students will create a simple program applying their knowledge of randomization and conditional control structures. This lesson is part of CodeVA's ECS+Python lesson set, providing alternative units for the Exploring Computer Science curriculum covering basic Python coding concepts.

In this lesson, students will implement Python programs that use “while” loops and logical operations as they consider how they might make their programs more interactive and control the flow of commands in their programs. They’ll read and modify examples, explore the new concepts through paired programming, and complete a short mini-project where they will demonstrate their new skills. This lesson is part of CodeVA's ECS+Python lesson set, providing alternative units for the Exploring Computer Science curriculum covering basic Python coding concepts.

In this lesson, students will implement Python programs that use “while” loops and logical operations as they consider how they might make their programs more interactive and control the flow of commands in their programs. They’ll read and modify examples, explore the new concepts through paired programming, and complete a short mini-project where they will demonstrate their new skills. This lesson is part of CodeVA's ECS+Python lesson set, providing alternative units for the Exploring Computer Science curriculum covering basic Python coding concepts.

These modules are designed to help you get familiar with Python while exploring interactive narrative design, where we put together stories that leave space for the reader to explore, make choices, and engage with the events of the story in a participatory way. Each module in this course follows the same format:Backstory: Unpack the context around the module, set up catalyzing questions to guide the inquiry throughout the module, and establish goals and objectives for your engagement with the moduleGuided Inquiry: Step through a sequence of tutorials and hands-on activities designed to help you learn the basic ideas presented in the modulesPrompt: A tightly-bounded, focused activity designed to facilitate sustained engagement with the ideas presented in the moduleCatalyzing Questions: A series of questions intended to provoke reflection & to put the module’s content in contextEach module is intended to support between 30 and 60 minutes of focused, sustained engagement. You may find it suits you to leave the module in the middle and return to your work; that’s totally fine. Work at your own pace, and don’t hesitate to reach out to your facilitators if you run into any problems.

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.

This lesson sequence offers students and teachers a way to develop data science skills using low technology skills through a series of “unplugged” activities, where students engage in data science learning without using computational tools. This material was created by Sara Fergus, Christa VanOlst, & Jon Stapleton for CodeVA with support from Capital One.

This lesson sequence offers students and teachers a way to develop data science skills using the CODAP “low-code” data analysis tool. View the materials on Google Drive or PDF. This material was created by Sara Fergus, Christa VanOlst, & Jon Stapleton for CodeVA with support from Capital One.

This lesson sequence offers students and teachers a way to develop data science skills using the Python programming language through a mix of “plugged” and “unplugged” activities. View the materials on Google Drive or PDF. This material was created by Sara Fergus, Christa VanOlst, & Jon Stapleton for CodeVA with support from Capital One.