Computer Science Worksheets

Learning Objectives

• Define abstraction, model, and essential details accurately
• Explain how abstraction simplifies complex systems
• Identify essential details in a complex situation+ Show more

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

• Define functions and explain their role in modular programs
• Identify how parameters provide input to reusable functions
• Explain how return values send results to calling code+ Show more

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 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

• Define input, output, response, and interaction in the context of computer programs.
• Identify examples of input and output from everyday interactive situations.
• Explain how changing an input affects a program’s output.+ Show more

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

• Explain how shared documents, comments, version history, and permissions support teamwork.
• Use key vocabulary (collaboration, permission, comment, version) accurately in sentences.
• Identify correct practices for working together safely and effectively online.

Learning Objectives

• Explain how clarity and consistency improve a user interface.
• Use key interface vocabulary (user interface, layout, button, navigation) to describe design choices.
• Identify usability principles and apply them to common UI elements like menus and controls.+ Show more

Learning Objectives

• Explain how bias can appear in AI when training data is incomplete or unbalanced.
• Use key vocabulary (bias, fairness, representation, outcome) to describe AI results.
• Identify ways to improve fairness by changing data collection and evaluation.

Learning Objectives

• Define password, credential, authentication, and secure accurately
• Compare weak and strong password protection methods
• Explain why password reuse increases account security risks+ Show more

Learning Objectives

• Define mean, median, mode, and range accurately
• Choose an appropriate summary measure for a data question
• Compare groups using numerical summaries+ Show more

Learning Objectives

• Identify everyday browsing actions that reduce cybersecurity risks
• Explain why software updates improve device protection
• Explain how secure device settings support cybersecurity+ Show more

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 phishing and social engineering and explain how deception is used to obtain sensitive information.
• Identify red flags in realistic messages and online requests.
• Choose safer actions when encountering suspicious login, payment, or account-recovery requests.

Learning Objectives

• Define encryption, decryption, ciphertext, and key in secure communication
• Explain how encryption protects data during network transmission
• Explain how encryption protects data stored on devices+ Show more

Learning Objectives

• Define loops and iteration using correct programming vocabulary
• Identify how loops repeat instructions to change program behavior
• Choose loop conditions for counting, checking, and pattern tasks+ 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

• Define debugging and identify common causes of program errors.
• Use a step-by-step tracing strategy to find where a program goes wrong.
• Troubleshoot a short code problem by correcting order, logic, missing parts, or incorrect values.

Learning Objectives

• Define conditional and branch in programming decisions
• Identify how if-else branches change program output
• Use comparison conditions to select the correct logic branch+ Show more

Learning Objectives

• Define bias and fairness in the context of AI systems
• Explain how training data can lead to biased AI results
• Identify signs of unfair or inconsistent AI behavior in example situations+ Show more

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

• 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

• 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 how consistent methods and clear variables improve the reliability of collected data.
• Use accurate recording procedures to reduce errors in surveys, experiments, and observations.
• Identify reliable vs. unreliable data-collection practices using lesson vocabulary.

Learning Objectives

• Identify common warning signs of scams and phishing in messages.
• Explain why suspicious links and requests for private details can be dangerous.
• Choose safer actions when a message seems urgent or unusual.+ Show more

Learning Objectives

• Identify common warning signs of online scams, including urgent language, suspicious links, and requests for personal details
• Choose safer actions when faced with suspicious messages or pop-ups
• Use key vocabulary to explain why a digital message might be a scam

Learning Objectives

• Define key project planning terms: project, requirement, audience, and plan
• Identify how requirements guide design choices and feature decisions
• Create a simple project plan and justify requirements for a chosen digital project

Learning Objectives

• Explain why documentation and reflection matter in a digital project.
• Identify key elements of a useful process log and final evaluation.
• Write clear next steps based on strengths and challenges found in reflection.

Learning Objectives

• Define artificial intelligence and describe how it can recognize patterns and make predictions.
• Identify common real-world examples of AI, such as recommendation systems and search tools.
• Explain key AI vocabulary terms: artificial intelligence, prediction, and pattern.

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

• Identify the goal, audience, and plan needed to start a digital project.
• Use planning steps to decide what features to include before coding or creating.
• Evaluate statements about project planning using key vocabulary and reasoning.

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

• Explain how data ethics guides fair and responsible data use.
• Describe privacy and consent and why they matter when handling personal information.
• Apply ethics vocabulary to real-life digital scenarios.

Learning Objectives

• Explain how privacy settings affect who can view content, contact accounts, and access personal information.
• Identify common app/website permissions and decide when they are appropriate.
• Describe how consent relates to data sharing and user control.

Learning Objectives

• Explain how evidence, authorship, and verifiable details help determine source credibility.
• Identify common signs of bias and misleading purpose in online information.
• Apply a checklist (bias, purpose, date, and supporting details) to decide whether to trust a claim.

Learning Objectives

• Explain key privacy concepts in cyber law, including consent, purpose limitation, and data minimization.
• Identify common privacy rights and responsibilities of users and service providers.
• Apply privacy rules to real-world scenarios involving data collection, sharing, and breaches.

Learning Objectives

• Define and use key terms interactive, project, feature, and program in context
• Identify how inputs, outputs, events, loops, and conditionals work together in an interactive program
• Choose the best plan for testing an interactive feature before coding+ Show more

Learning Objectives

• Explain how protocols help devices communicate reliably across networks.
• Describe how data is broken into packets and reassembled at the destination.
• Use key vocabulary (protocol, packet, transfer, communication) to explain online message delivery.

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

• Define artificial intelligence and describe how it can recognize patterns and make predictions
• Explain how prediction and pattern recognition are used in everyday tools like search and recommendations
• Use AI vocabulary (artificial intelligence, prediction, pattern) to answer questions about AI basics

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 data moves across the internet using networks, servers, and routers.
• Identify key roles of clients and servers in requesting and receiving information.
• Describe the path of a web request from device to remote server and back.

Learning Objectives

• Explain how networks connect devices to share information.
• Describe the role of servers in providing websites and services.
• Identify how messages travel in steps across the internet.+ Show more

Learning Objectives

• Explain how biased training data can create unequal outcomes
• Identify fairness problems caused by incomplete or unrepresentative data
• Compare model performance across different groups+ Show more

Learning Objectives

• Define the terms trend, pattern, increase, decrease, and prediction.
• Identify whether data shows a trend or a pattern in a table or graph.
• Use data evidence to make a prediction about what may happen next.