Computer Science Worksheets

Learning Objectives

• Define phishing and social engineering and explain how deception is used in these attacks.
• Identify common warning signs in realistic messages and describe safer next steps.
• Match social engineering terms to their correct meanings.+ Show more

Learning Objectives

• Define the terms recognize, pattern, response, and technology in the context of smart tools.
• Identify how a device uses patterns in inputs (sounds, pictures, numbers, or words) to choose a response.
• Use key vocabulary to complete a passage about how smart tools work.

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

• Define machine learning, training data, models, and patterns accurately
• Explain how training data quality affects model performance
• Identify data problems that can weaken model results+ Show more

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

• Define machine learning, training data, model, and pattern using accurate computer science vocabulary.
• Explain how training data examples help a model learn patterns over time.
• Identify ways a model can behave differently when training data changes.+ Show more

Learning Objectives

• Explain how training data and labels help a machine learning model learn patterns
• Describe how the size and variety of a training dataset affect prediction quality
• Evaluate statements about model training, feedback, and generalization

Learning Objectives

• Explain how labeled training data helps a model learn patterns
• Identify how dataset quality and variety affect model predictions
• Describe how training feedback helps reduce prediction error+ Show more

Learning Objectives

• Identify the roles of servers, routers, and packets in data transfer
• Explain how transmissions move from a sender to a destination using interconnected networks
• Describe how websites and messages are delivered using routing and packet switching+ Show more

Learning Objectives

• Explain how servers, routers, and networks work together to transfer data.
• Describe how packets are transmitted and why transmission happens in many steps.
• Use correct vocabulary to compare wired and wireless data transfer methods.

Learning Objectives

• Define trend and pattern and explain how each is identified in data
• Identify whether a data set shows an increase, decrease, or no overall change over time
• Use trend and pattern information to make an evidence-based prediction+ Show more

Learning Objectives

• Explain the difference between a trend and a correlation when analyzing data.
• Interpret a graph by describing patterns over time and relationships between variables.
• Avoid overgeneralizing by stating what a correlation does and does not prove.

Learning Objectives

• Define the word trend and explain how trends show change over time or across categories
• Identify increase and decrease in data shown on a graph or table
• Use trend evidence to make simple predictions and decisions

Learning Objectives

• Explain how neural networks use layers to transform inputs into outputs.
• Describe the role of weights in neural network predictions.
• Recognize how training adjusts weights to reduce errors.+ Show more

Learning Objectives

• Define artificial intelligence and describe what kinds of tasks AI systems can perform.
• Use key vocabulary (pattern, prediction, automation) to explain how AI makes decisions.
• Identify real-world examples of AI and distinguish AI from simple automated rules.

Learning Objectives

• Explain key cybersecurity vocabulary: cybersecurity, vulnerability, prevention, and threat.
• Identify safe online habits that reduce risks for devices and accounts.
• Recognize common warning signs of cyber threats and choose appropriate prevention steps.

Learning Objectives

• Define artificial intelligence using accurate Computer Science vocabulary
• Identify pattern recognition and prediction as common AI tasks
• Explain how automation supports repeated AI-powered tasks+ Show more

Learning Objectives

• Define cloud computing, server, storage, and synchronization in everyday terms.
• Explain how cloud services enable access to files and applications from different devices.
• Identify benefits of cloud systems for collaboration and flexibility.+ Show more

Learning Objectives

• Explain how cloud storage lets users access files from different devices.
• Describe how syncing updates files to help avoid version confusion.
• Use key vocabulary (cloud storage, sync, file, access) in correct computer-science contexts.

Learning Objectives

• Define cloud computing and explain how it uses remote servers instead of local devices.
• Describe the roles of storage and synchronization in keeping files up to date.
• Identify examples of cloud services and explain how they support collaboration and flexibility.

Learning Objectives

• Explain how cloud computing uses remote servers to provide storage and services.
• Describe how online storage supports backups, sharing, and syncing across devices.
• Use key vocabulary accurately, including cloud computing, server, storage, and sync.

Learning Objectives

• Explain how agile development uses iterations to improve work quickly through feedback
• Describe how Scrum roles, sprints, and check-ins help teams adapt to changing requirements
• Compare agile planning with more traditional planning approaches when requirements evolve+ Show more

Learning Objectives

• Organize a finished digital product so it works correctly and is easy for others to use
• Present a final product by clearly explaining its purpose, audience, and key features
• Use effective vocabulary when describing design choices and functionality

Learning Objectives

• Explain how testing helps a digital project work correctly and be easy to use.
• Use feedback to revise and improve a project after finding problems.
• Identify common results from testing, such as errors, confusion, and missing features.

Learning Objectives

• Define and use the vocabulary organize, presentation, final product, and audience when planning a digital project
• Identify features of a clear digital presentation, such as readable text, logical structure, and appropriate media
• Choose the best way to organize information so it is easy for an audience to understand+ Show more

Learning Objectives

• Define the key parts of a digital project plan: goal, audience, and plan for features and steps.
• Identify which project feature fits a given goal and target audience.
• Use project planning vocabulary to describe steps before coding or creating.+ Show more

Learning Objectives

• Explain choices made in a digital project using clear reasons.
• Describe key features and how they help the audience understand the project.
• Present a digital creation by showing how it works and responding to questions.

Learning Objectives

• Explain how cloud computing lets users access files and services from remote servers
• Identify ways online storage supports backup, syncing, and sharing across devices
• Use key vocabulary accurately: cloud computing, storage, server, and sync

Learning Objectives

• Explain what a password is and why it helps protect an account
• Identify features of strong passwords (mix of letters, numbers, and symbols; length; not easy to guess)
• Compare weak and strong passwords and choose better password habits

Learning Objectives

• Compare weak and strong passwords and explain why strong passwords are harder to guess.
• Identify habits that protect accounts, including not reusing passwords and keeping login details private.
• Use security vocabulary (password, secure, authentication, account) to describe how sign-in protection works.+ Show more

Learning Objectives

• Explain why strong, unique passwords improve account security.
• Use key vocabulary (password, authentication, secure, credential) correctly in context.
• Apply safe login habits and describe how a password manager can help.

Learning Objectives

• Explain how collaboration tools help groups work on documents and projects together.
• Use key vocabulary (collaboration, permission, comment, version) to describe teamwork features.
• Apply sharing permissions and comment tools to support safe, organized group work.

Learning Objectives

• Explain what responsible AI use means, including accuracy, judgment, and privacy.
• Apply critical thinking to check AI outputs and decide when to seek human review.
• Identify safe ways to use AI tools while protecting personal information.

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

• Define key vocabulary related to file sharing and collaboration, including share, collaborate, file, and permission.
• Identify safe sharing choices by matching scenarios to appropriate permissions and sharing settings.
• Explain how version history helps teams track changes during collaboration.+ Show more

Learning Objectives

• Explain why responsible AI use requires accuracy checks, critical thinking, and human judgment.
• Identify privacy risks and describe safe actions to protect personal information when using AI tools.
• Use key vocabulary (responsible, judgment, accuracy, privacy) to discuss ethical and safe AI practices.

Learning Objectives

• Explain how tone, word choice, and audience affect understanding in online messages
• Identify respectful communication choices in common chat and comment situations
• Compare clear responses with replies that could be misread+ Show more

Learning Objectives

• Explain how abstraction helps focus on important information while ignoring unnecessary details.
• Identify and describe a model or representation of a system using simplified features.
• Use abstraction to simplify a problem and support an algorithm design.

Learning Objectives

• Explain how bandwidth affects how quickly data moves across a network.
• Describe the difference between connection speed and bandwidth using everyday examples.
• Use vocabulary words (bandwidth, speed, connection, data) accurately in science-focused sentences.

Learning Objectives

• Explain how to organize a final product so it is clear and easy to follow for an audience.
• Choose readable text and appropriate media for a presentation.
• Use key vocabulary (final product, organize, presentation, audience) when planning to share work.

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 networks connect devices to share information and resources.
• Identify common network infrastructure components such as routers, cables, and wireless signals.
• Use key vocabulary (network, device, router, connection) accurately in context.

Learning Objectives

• Compare two strategies for solving the same problem and describe which is more efficient and why
• Use vocabulary such as efficient, compare, optimize, and strategy to explain algorithm steps
• Choose the best algorithm for a scenario based on fewer steps, less time, or less repetition+ Show more

Learning Objectives

• Explain how algorithm efficiency measures time, steps, and resources.
• Use optimization to improve an algorithm while keeping the same goal and final result.
• Compare two methods for the same task and justify which is more efficient.+ 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

• Explain how regression models predict numerical outcomes and compare them to classification models
• Identify factors that affect prediction accuracy, such as model fit and variable relationships
• Choose the correct modeling approach for a given prediction problem and justify the choice

Learning Objectives

• Explain how loops repeat code steps using the ideas of repeat, iteration, and a loop body.
• Identify when repetition makes a program shorter and more efficient by reducing duplicate code.
• Use loop logic to predict what a repeated action or pattern would produce.

Learning Objectives

• Identify how SELECT queries filter rows using WHERE conditions.
• Use ORDER BY to sort query results and predict the output order.
• Interpret SQL syntax to determine which columns are returned.