Computer Science Worksheets

Learning Objectives

• Explain how privacy helps protect personal information when using AI tools.
• Identify ways to judge whether an AI answer is trustworthy and complete.
• Describe limits of technology and when human judgment is needed.+ 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 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

• 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

Learning Objectives

• Explain how testing helps find problems in a digital project.
• Use the vocabulary test, feedback, improve, and revise accurately in context.
• Identify common strengths and issues found during usability testing.+ 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 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

• 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 privacy, safety, data, and settings and explain how they relate to using AI tools
• Identify safe choices for interacting with AI-powered apps and devices
• Apply privacy and safety rules to a real-life AI scenario+ Show more

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

• Explain how testing checks whether an algorithm works as intended under different conditions
• Use validation results to revise an algorithm for better reliability and clarity
• Identify vocabulary terms: testing, validation, refinement, and revision+ Show more

Learning Objectives

• Define an algorithm as a clear sequence of instructions.
• Identify the purpose of each instruction step in an algorithm.
• Write and improve simple algorithms for everyday tasks.+ Show more

Learning Objectives

• Identify a trend by describing how values change over time or across categories in a graph or table
• Use trend words like increase and decrease to explain what happens in data
• Match data patterns to correct trend descriptions+ Show more

Learning Objectives

• Explain how flowcharts use symbols and arrows to show a process.
• Identify how decision nodes create branches that change an outcome.
• Read and interpret simple decision paths in an algorithm.+ Show more

Learning Objectives

• Identify what makes a sequence program fail when a step is missing or out of order
• Use the terms debug, error, missing, and fix correctly in explanations
• Explain how checking each step helps find and correct mistakes+ Show more

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 what decomposition means in problem-solving and in computer science.
• Identify subproblems and describe how a strategy helps plan steps.
• Describe how breaking a complex task into smaller steps supports logical thinking and better solutions.

Learning Objectives

• Define conditional logic and identify a condition and an outcome in a given scenario
• Describe how a branching algorithm chooses different paths based on a condition
• Use conditional vocabulary (conditional, condition, branch, outcome) to explain rule-based decisions+ Show more

Learning Objectives

• Identify helpful everyday uses of AI in learning, transportation, communication, and entertainment.
• Use key vocabulary (helpful, support, assist, AI) to describe how AI helps people.
• Recognize that AI can suggest options, not decide by itself, and evaluate uses responsibly.

Learning Objectives

• Define artificial intelligence and describe how it is used in everyday technology.
• Identify key AI vocabulary words: prediction, pattern, and data.
• Explain how data helps AI make predictions using patterns.

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 instruction order can change an outcome in a procedure.
• Identify accurate vs. inaccurate instruction sequences for a simple task.
• Use clear step order to improve the accuracy of instructions.

Learning Objectives

• Define digital footprint and explain how it forms from online activity.
• Describe how online presence can affect reputation and future opportunities.
• Identify how permanence and context influence what stays searchable over time.

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

• Define key vocabulary for interactive games, including interactive, game, score, and program
• Explain how variables and loops can update a game over repeated turns
• Use conditionals to decide what happens in a game when an event occurs+ Show more

Learning Objectives

• Identify key source-check details (author, purpose, date, and evidence) that affect credibility.
• Use evidence-based criteria to choose reliable information online.
• Compare reliable and misleading information using clear reasoning.+ Show more

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

• Define and use the terms compare, data set, difference, and relationship when working with numbers.
• Compare two data sets by describing similarities and differences in amounts, categories, and patterns.
• Identify simple relationships between two lists of information using evidence from the data.+ 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 and use the terms compare, strategy, efficiency, and optimize when discussing algorithms.
• Compare two strategies for the same problem and explain which uses fewer steps.
• Identify which algorithm choice is more efficient based on step counts.+ 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 iteration and explain how testing feedback leads to improvement across versions.
• Use iteration vocabulary (iteration, revise, improve, version) to describe step-by-step design changes.
• Identify when a process shows repeated revision instead of a one-time change.+ 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

• 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

• 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

• 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

• 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

• Define key search terms such as keyword, query, and result.
• Use more focused keywords to improve search results.
• Explain how a search engine uses a query to return results.+ Show more

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 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 the terms claim, evidence, conclusion, and support and explain how they connect.
• Interpret information from a graph or table to decide whether a claim is supported.
• Justify answers by citing specific evidence from data displays.+ Show more

Learning Objectives

• Explain how flowcharts use shapes and arrows to show the steps of a process
• Identify the meanings of flowchart parts such as arrows and decision steps
• Read simple visual algorithms and predict what happens next+ Show more

Learning Objectives

• Define a variable as stored data that can change while a program runs
• Identify the difference between a variable and its value in a programming scenario
• Explain how stored data helps a program track information like scores and names+ Show more

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 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 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

• 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

• Define the terms bug, error, debug, and correction in the context of algorithms.
• Identify common causes of algorithm errors, such as missing steps, repeated steps, or steps in the wrong order.
• Use debugging steps to improve an algorithm by making corrections based on evidence.