Worksheet Worksheets

Learning Objectives

• Define user interface and describe how it helps people interact with a program or website
• Identify common interface elements such as menus and buttons
• Explain how layout affects how easy it is to find information and complete tasks

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

• Explain how loops help repeat instructions automatically.
• Use loop-related vocabulary such as loop, repeat, iteration, and efficiency.
• Identify what changes and what stays the same when a loop runs multiple times.+ Show more

Learning Objectives

• Identify warning signs of online scams such as suspicious messages and urgent requests
• Explain how phishing and fraud attempts try to trick people into sharing information
• Use critical thinking steps to decide whether an online offer or message is trustworthy+ Show more

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

• 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

• Identify how command order affects an algorithm’s outcome
• Reorder commands to match a desired outcome
• Use vocabulary (sequence, command, order, outcome) to describe programming steps+ Show more

Learning Objectives

• Identify key parts of graphs and charts, including categories and axes
• Compare data shown in bar graphs, line graphs, and pictographs
• Interpret information to answer questions using evidence from visual displays+ 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 a variable and explain how it can store a value that changes during a program’s run.
• Identify data values in a short scenario and decide which variable would store each value.
• Explain how changing a variable affects program output or decisions.+ Show more

Learning Objectives

• Identify the parts of a table, including rows and columns.
• Organize information into a table to compare data more easily.
• Use table features to find patterns and answer questions about data.

Learning Objectives

• Define conditional, branch, rule, and decision in the context of simple programming.
• Identify how if, else, and otherwise choose different outcomes based on conditions.
• Complete a short branching program description using the correct vocabulary.+ Show more

Learning Objectives

• Explain how a coding project plan helps guide building and reduce mistakes.
• Identify key parts of a plan, including a goal, features, inputs, outputs, and steps.
• Match project-planning vocabulary to its meaning.+ Show more

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 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 event, trigger, input, and respond in kid-friendly terms.
• Identify what kind of input causes a program event to happen.
• Match events to appropriate program responses.+ Show more

Learning Objectives

• Explain why reliable data collection uses careful observation and accurate counting.
• Identify common ways to reduce errors in a simple survey or measurement.
• Use vocabulary related to reliable data: reliable, observe, count, and data.

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

• 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

• 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 artificial intelligence and describe what kinds of tasks it can do
• Identify how AI can recognize patterns, classify information, and make predictions
• Use vocabulary terms to explain common AI features in digital tools+ 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 the terms reliable, observation, measurement, and data and use them correctly.
• Identify reliable ways to collect data and explain why consistent methods matter.
• Choose better survey and investigation plans to support clear conclusions.+ Show more

Learning Objectives

• Define and use the vocabulary compare, data set, relationship, and difference when discussing data.
• Identify similarities and differences between two or more data sets using greater, less, equal, and changing values.
• Describe how a relationship can be shown by how values change across data sets.+ Show more

Learning Objectives

• Define the terms variable and value and explain how they relate to stored information.
• Identify how a program can change values in variables while it runs.
• Use variables to describe information such as names, numbers, and scores in a simple scenario.

Learning Objectives

• Define what a function is and why programmers use it.
• Identify how a function call reuses a block of code.
• Explain how reusable code reduces repetition and improves program readability.+ 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 how algorithms use steps to solve problems
• Explain what variables store in an algorithm
• Use conditional logic to choose different outcomes

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

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

• Define the terms debug, logic, error, and trace and use them in context
• Identify where a logical error breaks a program’s reasoning by tracing steps
• Choose the best debugging strategy to test assumptions and follow the correct decision path+ Show more

Learning Objectives

• Define decomposition, subproblem, strategy, and solution in the context of problem solving
• Identify how a complex task can be broken into smaller subproblems
• Choose an appropriate strategy for solving a decomposed set of steps+ Show more

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

• Explain what an algorithm, sequence, instruction, and process mean
• Order steps in a correct sequence to complete a task
• Use clear, precise instructions to design an everyday or digital procedure+ Show more

Learning Objectives

• Use AI suggestions to compare options before making a choice.
• Explain how AI can organize information, but humans still make the final decision.
• Use key vocabulary words (suggest, compare, choice, decision, and related terms) accurately in context.

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 patterns in solutions and explain how they help solve new problems.
• Use pattern recognition to describe a strategy that can be repeated across tasks.
• Match vocabulary words such as pattern, strategy, repeat, and recognition to their meanings.+ 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 algorithm, instruction, sequence, and process.
• Identify the correct order of steps in a simple algorithm.
• Complete an algorithm paragraph by selecting appropriate vocabulary.+ 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 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

• 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

• 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 common programming errors such as syntax errors and logic errors
• Describe how systematic testing helps troubleshoot a program
• Match debugging vocabulary to correct definitions+ Show more

Learning Objectives

• Define debug, bug, error, and troubleshoot and use the words in explanations
• Identify common causes of program problems such as missing commands, wrong order, and logic that does not match the intended result
• Use tracing steps to find where code behavior first goes wrong and describe a fix+ Show more

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

• Explain how to check authorship and evidence when evaluating online information.
• Identify the purpose of a website to help judge its credibility.
• Compare reliable and misleading online information using vocabulary like evidence and credibility.+ Show more

Learning Objectives

• Identify repeated structures in a problem or algorithm
• Explain how pattern recognition helps predict outcomes
• Use the ideas of pattern and structure to improve a solution approach+ Show more