Grade 4 Computer Science Worksheets

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 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 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

• Describe artificial intelligence using a familiar example of smart technology.
• Explain how labeled training examples help AI recognize repeated patterns.
• Explain how AI uses patterns to predict a new picture's subject.+ Show more

Learning Objectives

• Distinguish a coding project’s goal from its planned features.
• Identify screen objects and their placement in a project sketch.
• Sequence instructions to describe how a planned program should work.+ Show more

Learning Objectives

• Identify inputs, outputs, events, and feedback in simple interactive programs.
• Explain how a user action starts a program's instructions.
• Describe how clear feedback helps users decide what happens next.+ Show more

Learning Objectives

• Identify movement commands and explain the importance of their order.
• Predict program outcomes when the command sequence changes.
• Arrange movement commands to complete a planned route.+ Show more

Learning Objectives

• Distinguish expected outcomes from actual results in a program test.
• Compare recorded observations to identify successful behavior and program problems.
• Explain why testing different inputs examines more program conditions.+ Show more

Learning Objectives

• Identify everyday benefits of AI tools using familiar classroom examples.
• Explain accuracy risks using examples of incorrect AI results.
• Describe how to protect personal information when using AI tools.+ Show more

Learning Objectives

• Explain how a learning program builds a model from examples.
• Identify training data in a class's fruit-sorting example.
• Describe shape and color as features used to find patterns.+ Show more

Learning Objectives

• Explain how AI finds similarities and differences in data.
• Define pattern recognition, data, classification, and prediction using examples.
• Identify everyday uses of pattern recognition in AI systems.+ Show more

Learning Objectives

• Explain how previous choices provide clues for suggested items.
• Define recommendation, preference, prediction, and algorithm using lesson examples.
• Identify repeated patterns that help systems predict possible interests.+ Show more

Learning Objectives

• Explain bug, debug, error, and troubleshoot using simple program examples.
• Identify sequencing errors caused by commands in the wrong order.
• Distinguish logical errors from sequencing errors in simple programs.+ Show more

Learning Objectives

• Identify personal information that should stay out of AI tools.
• Explain why confident AI answers can still need fact checking.
• Compare AI claims with information from a teacher-recommended source.+ 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

• Define reliable data, observation, and measurement.
• Identify appropriate methods for collecting accurate data.
• Explain how consistent procedures improve data reliability.+ Show more

Learning Objectives

• Identify the essential parts and purposes of tables and charts.
• Organize collected information into clearly defined categories.
• Interpret numerical information displayed in tables and bar charts.+ Show more

Learning Objectives

• Identify essential features of bar graphs, line graphs, and pictographs.
• Interpret numerical quantities and categories represented in graphs.
• Calculate totals and differences using graph information.+ Show more

Learning Objectives

• Identify similarities between two recorded data sets
• Compare numerical differences in classroom survey results
• Calculate totals using information from two groups+ Show more

Learning Objectives

• Define digital footprints, online presence, and online reputation.
• Identify online activities that create lasting digital traces.
• Compare positive and negative online behaviors and their consequences.+ Show more

Learning Objectives

• Define digital footprints, online presence, and online reputation.
• Identify everyday activities that leave digital traces.
• Compare positive and negative online behaviors.+ Show more

Learning Objectives

• Identify warning signs in suspicious online messages and advertisements.
• Explain the meanings of scam, phishing, suspicious, and fraud.
• Recognize attempts to obtain passwords and other private information.+ Show more

Learning Objectives

• Identify cyberbullying and recognize examples of harmful online behavior.
• Explain the meanings of harassment, bystander, and report.
• Describe safe actions to take when experiencing cyberbullying.+ Show more

Learning Objectives

• Identify characteristics of reliable online information sources.
• Explain how authorship influences source credibility.
• Evaluate evidence used to support online claims.+ Show more

Learning Objectives

• Identify respectful ways to communicate during online discussions.
• Explain how online posts can affect different audiences.
• Recognize when permission is needed before sharing photographs.+ Show more

Learning Objectives

• Define digital balance, digital well-being, and screen time.
• Identify healthy habits for responsible digital device use.
• Compare balanced and unbalanced daily technology routines.+ Show more

Learning Objectives

• Define variables, values, data, and storage in programming.
• Identify how variables store information in simple programs.
• Distinguish between assigning values and updating stored information.+ Show more

Learning Objectives

• Identify shared patterns across different problem-solving tasks.
• Explain how pattern recognition improves problem-solving efficiency.
• Organize repeated actions into clear algorithmic steps.+ Show more

Learning Objectives

• Identify personal information that should remain private online.
• Explain how privacy protects a person's digital identity.
• Recognize suspicious requests and potential online scams.+ Show more

Learning Objectives

• Identify conditions, branches, decision points, pathways, and outcomes.
• Follow decision pathways to determine the correct final outcomes.
• Interpret how different conditions affect decision tree results.+ Show more

Learning Objectives

• Define efficiency, algorithm, strategy, compare, and optimize
• Compare algorithms by examining steps and required effort
• Identify efficient approaches under the same conditions+ Show more

Learning Objectives

• Identify missing, repeated, and misplaced algorithm instructions
• Explain how debugging finds and fixes algorithm errors
• Trace algorithm steps to locate where a problem begins+ Show more