Computer Science Worksheets

Learning Objectives

• Define debug, bug, error, and fix in the context of coding
• Identify common code problems such as missing commands, repeated code, or wrong order
• Choose the best correction to make a short program sequence work

Learning Objectives

• Identify warning signs in suspicious online messages and pop-ups
• Explain why urgent language can signal an unsafe message
• Recognize personal details that should remain private+ Show more

Learning Objectives

• Identify events that cause computer programs to respond.
• Explain how inputs connect to program responses.
• Describe user actions that trigger program responses.+ Show more

Learning Objectives

• Identify reliable online information by checking evidence and clarity of authorship
• Compare sources by evaluating purpose, date, bias, and credibility
• Use source vocabulary (source, evidence, reliable, credibility) to explain why information should or should not be trusted+ Show more

Learning Objectives

• Explain how recursion reduces a problem into smaller subproblems until a base case is reached.
• Identify the stopping condition (base case) in recursive logic and describe why it prevents infinite recursion.
• Compare recursion with iteration and predict outcomes when tracing recursive calls.

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

• Explain why accuracy checks are important when using AI tool results.
• Identify strategies for critical thinking and safe use of AI-generated information.
• Describe how fairness and ethics guide responsible decisions when using AI tools.

Learning Objectives

• Explain why loops reduce duplicate code by repeating a block of instructions.
• Distinguish count-controlled loops from condition-based loops and choose when each is appropriate.
• Predict or correct loop behavior, including off-by-one errors, in simple programs.

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 collaboration, permission, comment, and version in context
• Explain how shared documents support digital teamwork
• Distinguish view-only and editing permissions+ 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

• Explain why testing an algorithm is important for correctness under different inputs, including edge cases.
• Revise an algorithm to fix errors and improve clarity after receiving feedback.
• Use vocabulary such as test, revise, validate, and correct when describing debugging steps.

Learning Objectives

• Explain how iteration uses repeated testing to improve a digital product.
• Use vocabulary such as iteration, version, revise, and improve in the context of software development.
• Identify how feedback and debugging lead to a stronger final design.

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 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

• Trace how bubble sort, selection sort, and insertion sort progress through passes.
• Compare swap behavior and time complexity characteristics of common sorting algorithms.
• Predict the intermediate and final order of elements after specific passes.

Learning Objectives

• Explain how AI ethics principles like fairness, transparency, privacy, and accountability connect to real-world impact.
• Identify common sources of bias and evaluate harmful or unreliable outputs.
• Use model evaluation ideas to judge whether an AI system can be trusted across different users and situations.

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 why reliable data collection uses careful observation, accurate counting, and consistent methods
• Identify suitable tools and steps for collecting survey and measurement data
• Distinguish between reliable data and unreliable data+ Show more

Learning Objectives

• Define user interface and describe how it helps people interact with a program or website
• Identify common interface elements such as menus and buttons
• Explain how layout affects how easy it is to find information and complete tasks

Learning Objectives

• Differentiate between private information and public information.
• Identify examples of personal information that should stay protected online.
• Use the vocabulary words private, public, personal information, and secure to explain safe sharing choices.

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

• 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

• Explain how password security protects accounts through authentication and secure credential habits.
• Choose and describe practices that reduce the risk of unauthorized access.
• Apply best practices such as using unique passwords and keeping credentials private.

Learning Objectives

• Identify common algorithm design patterns (divide and conquer, greedy, backtracking) and match them to problem types.
• Explain why a chosen pattern works, using correct reasoning about correctness and efficiency.
• Compare approaches for a problem and predict likely runtime behavior at a high level.

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 training data, features, and labels affect a machine learning model’s predictions.
• Identify common reasons data quality issues can reduce model performance.
• Distinguish between features and labels and describe how training helps a model learn patterns.

Learning Objectives

• Explain how network defense tools help detect and block threats.
• Describe how secure configurations and safe habits reduce unauthorized access.
• Match common threats to the most appropriate defensive controls.

Learning Objectives

• Define pattern, trend, and prediction in the context of data over time.
• Identify patterns and trends in simple sets of results.
• Use data patterns to make and explain a prediction.+ Show more

Learning Objectives

• Define artificial intelligence and describe what it can do.
• Identify key AI vocabulary: prediction, pattern, and decision.
• Match AI terms to correct examples or definitions.+ Show more

Learning Objectives

• Explain how digital footprints form and how they can affect future online interactions.
• Describe how online reputation can grow from repeated choices in digital spaces.
• Use key vocabulary correctly: digital footprint, reputation, trace, online presence.

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 how large language models generate responses using patterns learned from large data sets.
• Evaluate when generative AI is reliable and when human review is still necessary.
• Identify common risks such as hallucinations, bias, and unsafe or incorrect outputs.

Learning Objectives

• Define the terms browser, website, page, and link in context
• Describe how a web browser uses a URL to open a website
• Identify common page elements (text, images, links, and media) and how links work+ Show more

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 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 interface elements like menus, forms, and buttons affect usability
• Evaluate interface designs for clarity and accessibility using design principles
• Recommend interface improvements that reduce user errors and increase task efficiency

Learning Objectives

• Explain how Agile development uses short iterations to review progress and improve quickly.
• Describe Scrum roles and how sprints and check-ins support focused delivery.
• Compare Agile/Scrum responses to changing requirements versus more traditional planning.

Learning Objectives

• Explain the difference between a trend and a correlation.
• Identify patterns in data graphs and describe what they suggest.
• Interpret correlation carefully without claiming cause-and-effect.

Learning Objectives

• Identify common cybersecurity threats and explain how specific vulnerabilities enable them.
• Classify risks by matching real-world examples to categories such as password weaknesses, outdated software, and unsafe downloads.
• Evaluate statements about cybersecurity and justify short answers using accurate security terminology.

Learning Objectives

• Distinguish functional requirements from non-functional requirements
• Explain how user stories capture user needs and acceptance criteria
• Write clear user-centered scenarios to reduce ambiguity in development

Learning Objectives

• Define human intelligence and machine intelligence using age-appropriate vocabulary.
• Compare how people and machines solve problems using judgment versus programmed rules.
• Identify examples of tasks that are better suited to humans or to computers.+ Show more

Learning Objectives

• Explain the difference between bandwidth and latency in everyday network situations
• Identify how latency and bandwidth affect how fast data moves across a network
• Use correct vocabulary to describe factors that influence network performance

Learning Objectives

• Explain how safe search habits help find age-appropriate information
• Identify trustworthy clues and risky links when using a search engine
• Choose safer website options for school-appropriate research+ Show more

Learning Objectives

• Define artificial intelligence as technology that uses information to make decisions or complete tasks.
• Identify how AI finds patterns to help with recognition and recommendations.
• Describe at least three everyday examples of AI, such as speech tools, image recognition, or recommendation systems.

Learning Objectives

• Explain how user experience (UX) affects how easily people use a digital product
• Identify interface design choices that reduce confusion and improve usability
• Evaluate design decisions using principles like clarity, consistency, and feedback

Learning Objectives

• Use appropriate tone and respectful word choices in digital communication
• Explain how context and timing affect clarity and relationships in online messages
• Identify helpful versus harmful communication practices and choose better responses

Learning Objectives

• Explain what a variable is and how it stores information in a program.
• Describe how updating a variable can change what a program does.
• Identify a variable’s value and predict how it changes after actions.