Grade 7 Computer Science Worksheets

Learning Objectives

• Explain how variables store values in a program.
• Identify how changing a variable value affects program behavior.
• Use correct vocabulary: variable, value, storage, assignment.

Learning Objectives

• Identify signs of cyberbullying and harassment in online communication
• Practice safe responses by reporting incidents and supporting affected people
• Explain how to preserve evidence and seek trusted help when needed

Learning Objectives

• Explain how multi-factor authentication improves account security.
• Identify what a factor and verification are in an MFA system.
• Compare single-factor and multi-factor authentication in real-life login scenarios.

Learning Objectives

• Explain the meaning of efficiency, performance, and resource use in algorithms.
• Compare two algorithms for the same task using ideas like time and memory.
• Identify ways to optimize an algorithm without changing its correct output.+ Show more

Learning Objectives

• Define the terms condition, branch, logic, and outcome in the context of algorithms.
• Identify how an algorithm chooses different paths based on conditions.
• Use if/else reasoning to predict the outcome for a given scenario.+ Show more

Learning Objectives

• Explain what malware is and identify common types such as viruses and ransomware.
• Describe practical device protection strategies to reduce cybersecurity risks.
• Use key vocabulary (malware, virus, ransomware, protection) in accurate sentences.

Learning Objectives

• Define key network vocabulary such as network, node, connection, and infrastructure.
• Describe the roles of devices and network infrastructure in sending information.
• Explain how local and global communication can use networks.+ Show more

Learning Objectives

• Define ethics, responsibility, respect, and digital citizenship in the context of everyday technology use
• Identify ethical responses to common digital dilemmas involving privacy and intellectual property
• Explain how technology choices can affect people and communities over time+ Show more

Learning Objectives

• Define encryption, decryption, secure communication, and a key in simple terms
• Explain how encryption helps protect messages while they travel online
• Identify the correct relationship between plaintext, ciphertext, and the key+ Show more

Learning Objectives

• Define algorithm, input, output, and processing and explain how they relate in an AI system
• Identify which step in an AI workflow connects input data to a generated output
• Use examples to describe how algorithm design affects reliability in AI decisions+ Show more

Learning Objectives

• Define key terms protocol and communication and explain how they help devices work together
• Identify the roles of HTTP in web transmission and describe how requests and responses travel
• Match common web communication vocabulary to correct definitions+ Show more

Learning Objectives

• Identify key symbols and parts used in flowcharts, including decision points and branches.
• Interpret a flowchart to describe the steps of a process in order.
• Create or improve a simple algorithm diagram by adding decision logic.+ Show more

Learning Objectives

• Define responsibility, evaluation, judgment, and limitation in the context of AI tools
• Identify appropriate and inappropriate uses of AI-assisted tools in school tasks
• Evaluate AI output by checking accuracy, bias, and missing limitations+ Show more

Learning Objectives

• Explain how privacy settings control who can view personal information and activity.
• Identify key data protection ideas, including data collection and sharing.
• Use permissions settings to decide what information an app can access.+ Show more

Learning Objectives

• Explain why responsible AI use requires evaluation of outputs and human judgment.
• Identify common limitations of AI tools and apply safe checking habits.
• Use lesson vocabulary (responsibility, evaluation, judgment, limitation) in context.

Learning Objectives

• Explain how variables, events, and logic interact in programs
• Identify how user interfaces support application functionality
• Predict program outcomes using conditionals and loops

Learning Objectives

• Explain how communication protocols provide rules for devices to exchange information reliably.
• Describe how HTTP requests and responses work when using web services.
• Use key vocabulary words—protocol, communication, HTTP, and transmission—in context.

Learning Objectives

• Define evidence, analysis, conclusion, and decision in the context of using data.
• Identify which data supports a conclusion and explain why it does.
• Use logical reasoning to choose the best recommendation based on given data.+ Show more

Learning Objectives

• Explain how conditional logic lets an algorithm choose different paths based on a condition.
• Identify outcomes of decision structures using if/else reasoning.
• Use key vocabulary (condition, branch, logic, outcome) to describe rule-based decisions.

Learning Objectives

• Explain how conditional statements use logical comparisons to choose which instructions run.
• Identify the correct logic and comparison operator for a given situation.
• Interpret if/else behavior in simple program scenarios.

Learning Objectives

• Define ethics, accountability, transparency, and responsibility in the context of artificial intelligence.
• Identify ethical risks in AI scenarios, such as privacy problems and unfair or unclear decisions.
• Explain how designers can reduce harm by improving transparency and accountability.+ Show more

Learning Objectives

• Identify how events trigger program responses in event-driven systems
• Use key vocabulary (event, trigger, interaction, response) to explain what happens in a program
• Evaluate whether statements about event-driven programming are true or false+ Show more

Learning Objectives

• Define visualization terms and identify the role of charts and graphs in communicating data
• Compare common graph types and match each type to an appropriate data situation
• Interpret a data display by recognizing trends and patterns+ Show more

Learning Objectives

• Identify common programming errors such as syntax mistakes and logic errors
• Use a systematic debugging process to test and troubleshoot code
• Explain how assumptions can cause incorrect program behavior

Learning Objectives

• Explain how algorithm efficiency affects performance and resource use
• Use optimization strategies to improve an algorithm without changing its correct outcome
• Compare multiple algorithms for the same task and justify which is more efficient

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

• Define decomposition and explain how it helps solve complex problems
• Identify parts of a problem as subproblems and choose strategies for solving each
• Use decomposition steps to plan a sequence of actions toward a solution+ Show more

Learning Objectives

• Define bias and fairness in the context of AI systems.
• Explain how representation in training data can affect AI outcomes.
• Identify examples of biased data or design choices that lead to unfair results.+ Show more

Learning Objectives

• Explain why strong passwords and good credential habits reduce unauthorized access.
• Identify strategies such as unique passwords and password managers to improve authentication security.
• Apply password best practices to protect accounts in realistic scenarios.

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

• Identify conditional statements and the parts of an if-else decision.
• Choose the correct outcome based on logical comparisons.
• Match conditional vocabulary (conditional, comparison, branch, logic) to real examples.+ Show more

Learning Objectives

• Explain how input, processing, and output work together in an interactive program
• Identify examples of input and output in everyday computer systems
• Describe how interaction helps users adjust results

Learning Objectives

• Explain how screen time affects sleep, concentration, and well-being
• Use strategies like breaks and balanced routines to manage screen time
• Apply digital wellness habits to school, recreation, and social activities

Learning Objectives

• Explain how digital communication systems transmit information over networks.
• Compare communication tools by purpose and typical use cases.
• Use key vocabulary (communication, platform, collaboration, transmission) to describe digital messaging and media sharing.

Learning Objectives

• Define multi-factor authentication and explain how it improves account security.
• Identify common authentication factors and distinguish them from a single-factor login.
• Apply multi-factor authentication to real-life scenarios to judge which option is safer.

Learning Objectives

• Define key terms in machine learning, including training data, model, and prediction.
• Explain how a model learns patterns from training data to make predictions.
• Identify which statement best describes the relationship between training and prediction quality.+ Show more

Learning Objectives

• Identify a pattern in a sequence or set of examples and describe the relationship it shows
• Use pattern recognition to make a reasonable prediction for a new case
• Explain how generalizations can help solve similar problems more efficiently+ Show more

Learning Objectives

• Explain why strong, unique passwords and correct authentication improve account security.
• Apply best practices such as using unique credentials and updating security settings regularly.
• Identify safer password habits and explain how password managers can help.

Learning Objectives

• Define key algorithm vocabulary and explain how an algorithm is a sequence of instructions.
• Identify whether a set of steps forms a clear, logical algorithm.
• Use precision and logical reasoning to choose, write, and evaluate algorithm steps.

Learning Objectives

• Explain how keyword choice affects search results.
• Use common search operators to narrow or broaden a query.
• Compare broad and targeted searches to judge relevance.+ Show more

Learning Objectives

• Define key terms used in digital communication systems, including communication, platform, collaboration, and transmission.
• Describe how digital communication moves information through networks for different purposes.
• Compare common digital tools (email, messaging, video conferencing, and collaborative platforms) based on what they are best used for.+ Show more

Learning Objectives

• Define abstraction and explain how it helps simplify a computing problem.
• Identify essential features versus unnecessary details in a system or process.
• Use models and representations to describe how an algorithm works.+ Show more

Learning Objectives

• Identify common data types (integer, string, boolean) from examples
• Match data values to the correct data type
• Explain how choosing the right operation depends on the data type+ Show more

Learning Objectives

• Define input, output, and processing in an interactive computer program.
• Identify how input and output work together to create interaction.
• Use vocabulary to describe an input-output relationship in everyday examples.+ Show more

Learning Objectives

• Explain how decomposition helps break a complex problem into smaller parts.
• Identify subproblems and choose a strategy for solving each part.
• Describe how solutions from subproblems combine into one final solution.

Learning Objectives

• Define event, trigger, interaction, and response in programs
• Identify how events cause code to run in software
• Match user actions to event types and program responses+ Show more

Learning Objectives

• Define the terms loop, iteration, repetition, and efficiency in the context of programming.
• Identify how a counter-based loop repeats actions to automate a task.
• Choose the correct loop strategy to build patterns or calculate repeated results.+ Show more

Learning Objectives

• Define a function, parameter, module, and reusable in the context of programming
• Explain how modular code can improve readability and maintenance
• Identify how parameters pass information into a function and how results are used+ Show more