Grade 6 Computer Science Worksheets

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

• 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

• 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

• 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

• 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

• 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

• Identify how algorithms use steps to solve problems
• Explain what variables store in an algorithm
• Use conditional logic to choose different outcomes

Learning Objectives

• Identify common warning signs of scams and phishing messages.
• Explain safe choices when you see suspicious emails, texts, or pop-ups.
• Use key vocabulary (scam, phishing, suspicious, fraud) accurately in explanations.

Learning Objectives

• Explain how events trigger actions in an event-driven program.
• Use key vocabulary (event, trigger, response, interaction) to describe program behavior.
• Identify event types such as clicks, key presses, touches, and timed actions.

Learning Objectives

• Explain how the internet connects devices using networks and data transfer.
• Describe the roles of networks and servers in sending and receiving information.
• Use key vocabulary words correctly: internet, network, server, connect.

Learning Objectives

• Define a function, call, and reusable code in simple computer science language
• Explain why reusable code blocks make programs easier to read and maintain
• Choose the best option that describes how functions work in a program

Learning Objectives

• Explain why privacy matters when using AI-powered apps and websites.
• Identify common types of data collection and describe how data can be used.
• Use the terms privacy, data, collection, and consent in accurate, responsible technology choices.

Learning Objectives

• Explain how machine learning uses training data to learn patterns.
• Use key vocabulary words including machine learning, training data, model, and pattern.
• Describe how examples can change a model’s predictions.

Learning Objectives

• Explain how collaboration tools support shared files using share, collaborate, and permission.
• Choose safe sharing settings that protect privacy and prevent unwanted changes.
• Describe how commenting and version history can help groups work together effectively.

Learning Objectives

• Explain how recommendation systems use past choices and patterns to make suggestions.
• Use lesson vocabulary (recommendation, preference, suggestion, algorithm) correctly in sentences.
• Evaluate how recommendations can influence what people see online.

Learning Objectives

• Compare two or more data sets to find similarities and differences
• Use data words such as greater, less, equal, and changing to describe relationships
• Identify patterns by describing how values change across data sets

Learning Objectives

• Define algorithm, sequence, instruction, and process and use the terms correctly.
• Create an algorithm by ordering steps logically and with enough detail to follow.
• Evaluate statements about algorithms for correctness and clarity.

Learning Objectives

• Explain what phishing is and how scam messages try to trick people.
• Identify warning signs in fake messages, such as urgent language and suspicious links.
• Use safe response strategies when you see suspicious or fraud attempts online.

Learning Objectives

• Explain what variables are and how they store changing information in a program.
• Identify the difference between a variable name and the value a variable holds.
• Use variables and values to make predictions about program behavior.

Learning Objectives

• Explain how loops repeat commands to save time and reduce duplicate code.
• Use loop vocabulary such as repeat, iteration, and efficiency to describe program behavior.
• Identify correct and incorrect statements about loop usage and repeated actions.

Learning Objectives

• Define key user interface vocabulary: user interface, menu, button, and layout.
• Identify features of an interface that make it easy or difficult to use.
• Use interface terms to describe how a user interacts with a digital design.

Learning Objectives

• Identify patterns in routines, data, and step-by-step solutions.
• Use patterns to predict what comes next in an algorithm or sequence.
• Explain how repeatable structure helps solve new problems using familiar ideas.

Learning Objectives

• Explain how flowcharts show step-by-step processes using symbols and arrows.
• Use decision paths to describe how choices affect outcomes in an algorithm.
• Identify and interpret common flowchart vocabulary: flowchart, decision, branch, and symbol.

Learning Objectives

• Explain how testing an algorithm helps find errors under different conditions.
• Use test results to revise and improve a solution’s accuracy and clarity.
• Identify common weaknesses in a procedure and evaluate whether changes fix them.

Learning Objectives

• Explain what a web browser is and what a website is.
• Identify common website page elements such as text, images, links, and tabs.
• Navigate a website by using tabs and links and describing what a page contains.

Learning Objectives

• Explain how password security helps protect an account from unauthorized access.
• Describe features of strong passwords, including using a mix of character types.
• Identify safe password habits such as not sharing and not reusing passwords across accounts.

Learning Objectives

• Define iteration and explain how testing feedback helps improve a digital project.
• Use vocabulary such as iteration, revise, improve, and version to describe step-by-step changes.
• Identify correct statements about how teams can use repeated versions to reach a better design.

Learning Objectives

• Explain how program commands run in the order they are written.
• Identify how changing the order of commands changes the output.
• Use sequence and order vocabulary to describe working vs. non-working code.

Learning Objectives

• Identify what makes a password strong and harder to guess.
• Describe safe account habits such as not reusing passwords and keeping login details private.
• Explain how authentication helps protect accounts.

Learning Objectives

• Explain how search engines use keywords to return results.
• Choose effective keywords and queries to improve search results.
• Compare broad searches with more focused searches.

Learning Objectives

• Compare different algorithms to choose the more efficient strategy for a given task.
• Explain how efficiency can mean fewer steps, less time, or less repetition.
• Use computer science vocabulary accurately: efficient, compare, optimize, and strategy.

Learning Objectives

• Explain what a logical error is and how it differs from a syntax error
• Use a trace to follow each step of an algorithm and find where reasoning goes wrong
• Check inputs, assumptions, and decision paths to debug and correct solutions+ Show more

Learning Objectives

• Explain conditional logic using if-then statements to predict outcomes.
• Identify conditions, branches, and outcomes in simple rule-based algorithms.
• Use yes-or-no thinking to follow different paths in branching algorithms.+ Show more

Learning Objectives

• Explain how decomposition breaks a large problem into smaller subproblems.
• Use a simple strategy to plan steps before coding.
• Identify whether a statement correctly describes decomposition and solutions.

Learning Objectives

• Identify evidence from graphs and tables to support a claim or conclusion.
• Use careful analysis of data displays to explain why a conclusion is valid.
• Distinguish between guessing and conclusions supported by reliable data.

Learning Objectives

• Identify the difference between a trend and a pattern in data
• Use trend and pattern clues to make an evidence-based prediction
• Describe whether data is increasing or decreasing over time

Learning Objectives

• Identify key parts of bar graphs, line graphs, and pictographs, including axes and categories
• Use graph information to compare values and describe patterns
• Choose the correct graph type for a data question

Learning Objectives

• Explain what tables, rows, and columns are used for when organizing data.
• Identify how table structure helps compare information accurately.
• Use table vocabulary to describe sorting and organizing data.

Learning Objectives

• Describe how reliable data is collected using careful observation, accurate counting, and consistent methods.
• Use key vocabulary words (reliable, observe, count, data) correctly in science and computer science contexts.
• Decide whether statements about data collection are true or false and explain short answers clearly.

Learning Objectives

• Identify personal information that should be kept private online
• Explain why privacy is important when sharing profile details, forms, and messages
• Use vocabulary words personal information, private, public, and secure in context

Learning Objectives

• Explain how bias in AI can happen when training data is incomplete or unfair
• Identify how biased AI results can affect suggestions, recognition, and decisions
• Use lesson vocabulary (bias, fairness, data, result) to describe AI outcomes

Learning Objectives

• Define artificial intelligence and explain how it uses data to make predictions.
• Identify real-life examples of AI in search tools, digital assistants, and recommendation systems.
• Use lesson vocabulary (artificial intelligence, prediction, pattern, data) correctly in sentences.

Learning Objectives

• Explain how interactive projects use inputs, outputs, events, loops, and conditionals.
• Use planning features to organize a program before writing code.
• Use key vocabulary words (interactive, project, feature, program) correctly in context.

Learning Objectives

• Explain how pseudocode uses plain language to describe program logic and sequence.
• Write and revise simple plans for tasks using ordered steps.
• Identify correct logic and order when statements or steps are given.

Learning Objectives

• Explain what debugging is and why errors happen in programs.
• Use debugging steps to find where a program goes wrong and fix it.
• Identify common error causes such as incorrect order, missing code, and wrong values.

Learning Objectives

• Explain how conditionals help programs make decisions based on rules
• Identify the parts of if-then-else logic and how branching changes program behavior
• Use conditional vocabulary (conditional, branch, rule, decision) correctly in explanations

Learning Objectives

• Define input, output, response, and interaction in the context of a program.
• Identify examples of input and output in everyday computer activities.
• Explain how changing input can change what a program outputs.

Learning Objectives

• Explain key choices and features of a digital creation using clear, complete sentences.
• Describe how a digital project works and what the audience can expect to see.
• Respond to questions respectfully by using evidence from the project.