Grade 4 Computer Science Worksheets

Learning Objectives

• Define the terms bug, error, debug, and correction in the context of algorithms.
• Identify common causes of algorithm errors, such as missing steps, repeated steps, or steps in the wrong order.
• Use debugging steps to improve an algorithm by making corrections based on evidence.

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

• Define and use the terms benefit, risk, privacy, and fairness when talking about AI.
• Identify common everyday examples of how AI is used and explain one benefit and one risk.
• Explain how privacy, fairness, and accuracy can affect people when AI is used.+ Show more

Learning Objectives

• Define interactive, input, output, and feedback in the context of computer programs.
• Identify how events connect user actions to program outputs.
• Choose appropriate program features for a simple game or quiz scenario.

Learning Objectives

• Explain how privacy helps protect personal information when using AI tools.
• Identify ways to judge whether an AI answer is trustworthy and complete.
• Describe limits of technology and when human judgment is needed.+ 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

• 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

• Explain how machine learning uses training data to find patterns
• Identify what a model is and how it makes predictions
• Describe how machine learning improves when it learns from new examples+ Show more

Learning Objectives

• Explain how AI uses patterns in data to make predictions
• Identify similarities and differences in examples and how this helps classification
• Use vocabulary (pattern recognition, data, classify, prediction) accurately in context+ 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

• 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 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

• Define the terms flowchart, process, decision, and symbol.
• Identify what different flowchart symbols and arrows mean in a simple process.
• Create a simple flowchart from a short set of steps with one decision.+ 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 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 cyberbullying and identify related behaviors such as harassment
• Describe how a bystander can respond and when to report harmful messages
• Select safe online actions using examples and scenarios

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

• Explain how balancing screen time with physical activity, rest, and social interaction supports well-being.
• Identify healthy digital habits and describe how different routines can affect daily life.
• Use vocabulary such as balance, well-being, screen time, and healthy habits in context.+ 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 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 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 a variable as stored data that can change while a program runs
• Identify the difference between a variable and its value in a programming scenario
• Explain how stored data helps a program track information like scores and names+ Show more

Learning Objectives

• Identify the parts of a decision tree: conditions, branches, and outcomes
• Follow a decision tree to predict an outcome from given conditions
• Construct simple decision pathways by choosing branches based on conditions+ Show more

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

• Define bug, error, debug, and troubleshoot in the context of computer programs
• Identify whether an observed problem is caused by a logical error or a sequencing error
• Use a simple testing and observation process to debug a program+ Show more

Learning Objectives

• Identify what a graph shows about quantities and categories
• Read bar graphs, line graphs, and pictographs to find patterns and trends
• Interpret information by describing what changes in a graph over time or between categories

Learning Objectives

• Define and use the words test, result, expected outcome, and evaluation in the context of program testing.
• Compare intended behavior and actual behavior to decide whether a program passes a test.
• Describe how observation during testing helps find strengths and areas for improvement.

Learning Objectives

• Define digital footprint, online presence, and reputation and explain how they connect.
• Identify examples of responsible and irresponsible online behaviors.
• Explain how online actions can have long-term effects on how others view a person.

Learning Objectives

• Explain how a condition guides a decision in an algorithm
• Identify the outcome that matches a true or false condition
• Trace a branching path in a simple decision scenario+ Show more

Learning Objectives

• Define the terms event, trigger, interaction, and response in an event-driven program.
• Identify how user actions can trigger events that change what a program does.
• Match event-related vocabulary to correct definitions.+ 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 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 compare, strategy, efficiency, and optimize when discussing algorithms.
• Compare two strategies for the same problem and explain which uses fewer steps.
• Identify which algorithm choice is more efficient based on step counts.+ Show more

Learning Objectives

• Define key social media terms such as social media, audience, communication, and responsibility.
• Identify respectful and responsible actions when posting, commenting, or sharing online.
• Explain how posts can affect individuals and communities.+ Show more