Worksheet Worksheets

Learning Objectives

• Define iteration and explain how testing feedback leads to improvement across versions.
• Use iteration vocabulary (iteration, revise, improve, version) to describe step-by-step design changes.
• Identify when a process shows repeated revision instead of a one-time change.+ Show more

Learning Objectives

• Define key search terms such as keyword, query, and result.
• Use more focused keywords to improve search results.
• Explain how a search engine uses a query to return results.+ Show more

Learning Objectives

• Define the terms variable, value, storage, and assignment in the context of programming.
• Explain how changing a variable’s value can change program behavior over time.
• Identify when a program is performing an assignment to update a stored value.+ Show more

Learning Objectives

• Describe how data collection methods can affect accuracy and reliability.
• Explain how validation checks help make data complete and trustworthy.
• Identify when a set of results may be unreliable due to measurement or procedure issues.+ Show more

Learning Objectives

• Explain how AI can help people save time and organize information
• Identify limits of AI such as mistakes and bias from data
• Use vocabulary words benefit, limit, bias, and accuracy in context+ Show more

Learning Objectives

• Identify whether one data set has a greater, less, or the same amount as another data set.
• Use compare and data set vocabulary to describe differences and similarities in survey results.
• Select correct answers when comparing totals shown in charts and statements.+ Show more

Learning Objectives

• Identify the key parts of a bar graph and a pictograph, including categories and quantities
• Read values from a bar graph and a pictograph to compare data
• Explain how pictographs use symbols to represent quantities

Learning Objectives

• Define private information and personal information using Grade 3 vocabulary
• Identify which details should stay protected online versus what can be shared publicly
• Explain how to choose secure online information choices

Learning Objectives

• Define and use the words evidence, conclusion, and interpret when working with data.
• Read simple graphs and tables to describe what the data shows.
• Choose a conclusion that matches the evidence instead of guessing.

Learning Objectives

• Define privacy, data, collection, and consent and explain how they relate to using AI apps safely.
• Identify examples of responsible choices when sharing information with digital tools.
• Use data-use vocabulary to complete a passage about privacy and consent.+ Show more

Learning Objectives

• Define a variable and explain that it stores data values in a program
• Identify examples of data values (names, scores, points, and numbers) represented by variables
• Predict how changing a variable can change what a program displays or uses

Learning Objectives

• Identify rows and columns in a data table.
• Use table structure to organize information into categories.
• Explain how organized data helps find patterns or relationships.+ Show more

Learning Objectives

• Define the terms input, output, response, and interaction.
• Identify inputs and outputs from short computer scenarios.
• Explain how an input leads to an output through a program’s response.+ Show more

Learning Objectives

• Explain why accuracy checks are important when using AI tool results.
• Identify strategies for critical thinking and safe use of AI-generated information.
• Describe how fairness and ethics guide responsible decisions when using AI tools.

Learning Objectives

• Define digital footprint and explain how online activity can leave traces over time
• Identify examples of online activity that contribute to a digital footprint
• Describe how responsible choices can create a positive online presence+ Show more

Learning Objectives

• Use data sets to compare similarities and differences between groups of information.
• Identify a relationship between two variables described in a simple data set.
• Explain how careful data analysis supports an evidence-based conclusion.

Learning Objectives

• Define recommendation, preference, suggestion, and algorithm in the context of online content
• Explain how recommendation systems use patterns in data to rank what people see
• Identify factors that can shape recommendations and describe an effect on what people view+ Show more

Learning Objectives

• Explain how safe search habits help find age-appropriate information
• Identify trustworthy clues and risky links when using a search engine
• Choose safer website options for school-appropriate research+ Show more

Learning Objectives

• Define machine learning, training data, model, and pattern using accurate computer science vocabulary.
• Explain how training data examples help a model learn patterns over time.
• Identify ways a model can behave differently when training data changes.+ Show more

Learning Objectives

• Identify safe classroom routines for using shared devices
• Use vocabulary terms correctly when describing device care habits
• Explain why logging out and keeping information private are important

Learning Objectives

• Explain how code executes in the exact order commands are written
• Predict how changing the order of commands affects a program’s output
• Use sequencing vocabulary (sequence, order, command, output) to describe code behavior+ Show more

Learning Objectives

• Identify common warning signs of online scams, including urgent language, suspicious links, and requests for personal details
• Choose safer actions when faced with suspicious messages or pop-ups
• Use key vocabulary to explain why a digital message might be a scam

Learning Objectives

• Define survey, data, collect, and response and use the words in sentences.
• Identify the best way to collect information using a simple classroom survey.
• Use collected survey data to choose, match, and explain correct ideas about preferences and classroom information.+ Show more

Learning Objectives

• Define evidence, analysis, and conclusion and explain how they connect.
• Use information from graphs, tables, and surveys to choose conclusions supported by evidence.
• Identify whether a claim is supported by reliable data.

Learning Objectives

• Define the terms recommendation, preference, suggestion, and algorithm in the context of recommendation systems.
• Explain how recommendation systems use past choices and patterns in data to suggest items.
• Identify examples of how suggestions can be helpful but not always perfect.

Learning Objectives

• Explain how strong passwords help protect an account and device.
• Compare weak and strong passwords using clues like length, variety, and guessability.
• Identify good password habits, such as not sharing passwords and using unique passwords.

Learning Objectives

• Define the terms input and output and explain how they work together in a program
• Identify examples of inputs, outputs, responses, and interactions in everyday software
• Use vocabulary to describe what happens when a program receives input and produces an output

Learning Objectives

• Define and use the terms table, row, and column when describing data displays.
• Identify what information belongs in a specific row or column in a table.
• Use table structure to compare categories and find totals or relationships.+ Show more

Learning Objectives

• Explain what a strategy is and how it helps with a solution to a problem
• Compare two solution strategies by considering clarity, speed, and accuracy
• Choose the most efficient strategy for a simple classroom problem

Learning Objectives

• Explain what decomposition means in computational thinking.
• Identify subproblems as smaller parts of a larger problem.
• Choose an effective strategy for breaking a task into manageable steps.+ Show more

Learning Objectives

• Identify common types of personal information and explain why they should stay private online.
• Choose safer sharing options for websites, apps, and online accounts.
• Apply privacy and security steps to reduce risks like identity theft and scams.+ Show more

Learning Objectives

• Define event, trigger, response, and interaction in the context of interactive programs.
• Identify events and their responses in examples that include clicks, taps, key presses, and timed actions.
• Explain how the same program can run different responses depending on the event that occurs.

Learning Objectives

• Define and use the terms decision, choice, condition, and branch when discussing decision trees.
• Read a simple decision tree and follow the correct path to reach an outcome.
• Explain how different yes/no conditions lead to different results in a decision tree.

Learning Objectives

• Identify the purpose of a project plan before writing code.
• Describe how goals and features guide the steps of a simple coding project.
• Use clear instructions to reduce errors when building a digital tool or game.

Learning Objectives

• Define a program as a set of instructions that tells a computer what actions to perform.
• Identify examples of program output and actions, such as moving a character or displaying messages.
• Match key vocabulary terms (program, instruction, output, command) to their meanings.+ Show more

Learning Objectives

• Identify what a table is used for when organizing information by categories.
• Choose the best chart type to help compare data shown in collected results.
• Explain how charts and tables make it easier to analyze and communicate information.+ Show more

Learning Objectives

• Identify what makes a password more secure, such as length and using a mix of characters
• Compare weak and strong password examples and explain why one is safer than another
• Describe how authentication protects an account when someone tries to log in+ Show more

Learning Objectives

• Define personal information and explain why it should stay private online.
• Choose which details are safe to share in messages, profiles, and forms.
• Explain how using strong, secure passwords helps protect accounts.+ Show more

Learning Objectives

• Use precise step words to write code directions in a correct sequence.
• Identify how unclear instructions can cause mistakes in a computer program.
• Match coding terms to their meanings and use them in explanations.

Learning Objectives

• Identify the rule in numeric, visual, and action patterns
• Use a pattern rule to predict what comes next in a sequence
• Explain how repeating steps help make accurate predictions+ Show more

Learning Objectives

• Define key terms: recommendation, preference, prediction, and algorithm.
• Explain how a recommendation system uses information and patterns to make predictions.
• Identify examples of recommendation systems and describe how they suggest items.

Learning Objectives

• Define pseudocode and explain how it helps plan a program before writing code.
• Use sequence and logic to outline steps for a simple everyday task.
• Match planning terms (plan, sequence, logic) to their meanings.+ Show more

Learning Objectives

• Define debug, bug, error, and fix in the context of coding
• Identify common code problems such as missing commands, repeated code, or wrong order
• Choose the best correction to make a short program sequence work

Learning Objectives

• Define pattern, trend, and prediction in the context of data over time.
• Identify patterns and trends in simple sets of results.
• Use data patterns to make and explain a prediction.+ Show more

Learning Objectives

• Define the vocabulary terms pattern, repeat, sequence, and program
• Identify programming patterns in short visual block actions and explain the rule
• Complete and interpret code ideas that use repeating steps in order+ Show more

Learning Objectives

• Define artificial intelligence and describe what it can do.
• Identify key AI vocabulary: prediction, pattern, and decision.
• Match AI terms to correct examples or definitions.+ Show more

Learning Objectives

• Define key conditional vocabulary such as condition, decision, and branch.
• Identify which action a simple program would take based on an if/else condition.
• Use conditional logic to predict outputs for different inputs.

Learning Objectives

• Define algorithm, code, sequence, and repeat using simple examples.
• Arrange steps in the correct sequence to solve a programming problem.
• Identify how repeating instructions can reduce work in a program.+ Show more