Worksheet Worksheets

Learning Objectives

• Identify events that activate actions in computer programs.
• Distinguish between event triggers and programmed responses.
• Recognize clicks, taps, and key presses as user interactions.+ Show more

Learning Objectives

• Identify algorithms, instructions, sequences, and processes.
• Arrange instructions logically to complete a specific task.
• Recognize missing or unclear instructions in an algorithm.+ Show more

Learning Objectives

• Explain how testing checks algorithm behavior under different conditions.
• Identify errors by comparing expected and observed outputs.
• Distinguish test cases, revisions, refinement, and validation.+ Show more

Learning Objectives

• Identify respectful ways to communicate during online discussions.
• Explain how online posts can affect different audiences.
• Recognize when permission is needed before sharing photographs.+ Show more

Learning Objectives

• Define an algorithm and explain the purpose of pseudocode
• Identify logical sequences in everyday procedures and computational problems
• Construct pseudocode using ordered steps, input, and output+ Show more

Learning Objectives

• Identify features that make a password difficult to guess
• Explain how strong passwords help protect accounts and devices
• Recognize safe habits for keeping passwords private+ Show more

Learning Objectives

• Identify standard flowchart symbols and explain their purposes.
• Explain how conditions determine the branches followed in a flowchart.
• Trace flowcharts to predict outputs for different inputs.+ Show more

Learning Objectives

• Define abstraction and explain how it simplifies complex systems.
• Identify essential information for a specific problem-solving task.
• Compare representations and explain how each supports a different purpose.+ Show more

Learning Objectives

• Define efficiency, optimization, resource, and performance in algorithms.
• Compare algorithms using operation counts and resource requirements.
• Explain how linear search differs from binary search.+ Show more

Learning Objectives

• Identify safe and unsafe choices when using search engines
• Evaluate search results before opening websites or links
• Recognize trustworthy and teacher-approved websites+ Show more

Learning Objectives

• Identify claims, evidence, and conclusions in explanations about survey data.
• Use exact table and graph counts to justify a claim.
• Compare vote counts to determine differences between coding activity preferences.+ Show more

Learning Objectives

• Identify the essential parts and purposes of tables and charts.
• Organize collected information into clearly defined categories.
• Interpret numerical information displayed in tables and bar charts.+ Show more

Learning Objectives

• Define artificial intelligence and describe tasks associated with human thinking.
• Identify patterns in data that can support AI predictions.
• Explain how machine-learning systems use examples to learn relationships.+ Show more

Learning Objectives

• Identify key features of bar graphs and pictographs
• Interpret graph scales and pictograph keys accurately
• Compare quantities across categories using visual data+ Show more

Learning Objectives

• Explain how test cases compare expected and actual algorithm outputs
• Identify edge cases and boundary values that may reveal errors
• Trace algorithm steps to locate logical and calculation errors+ Show more

Learning Objectives

• Define machine learning, training data, models, and patterns.
• Explain how learning algorithms use examples to make predictions.
• Analyze how data quality and variety affect model accuracy.+ Show more

Learning Objectives

• Define reliable data, observation, and measurement.
• Identify appropriate methods for collecting accurate data.
• Explain how consistent procedures improve data reliability.+ Show more

Learning Objectives

• Identify how search engines use keywords to locate online information
• Construct focused search queries for specific research questions
• Compare broad and focused searches and their results+ Show more

Learning Objectives

• Identify events that trigger responses in interactive games
• Explain how player actions can change game outcomes
• Describe how variables store changing game values+ Show more

Learning Objectives

• Identify password features that make credentials difficult to guess.
• Explain how unique passwords reduce risks across multiple accounts.
• Describe authentication and additional verification methods.+ Show more

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 conditions and outcomes in if-then rules
• Explain how branches create different program pathways
• Describe how inputs affect conditional decisions+ Show more

Learning Objectives

• Identify credibility indicators in online sources.
• Evaluate claims using supporting evidence and independent sources.
• Explain how bias influences the presentation of online information.+ Show more

Learning Objectives

• Explain how incomplete or unbalanced training data can introduce AI bias
• Distinguish bias, representation, fairness, and outcome using practical examples
• Identify strategies for improving AI training data quality and representation+ Show more

Learning Objectives

• Define recommendation systems and describe their purpose on digital platforms
• Identify data types used to generate personalized content suggestions
• Explain how algorithms use observed behavior to estimate user interests+ Show more

Learning Objectives

• Identify rows, columns, headings, and data in simple tables.
• Explain how tables organize information for easier comparison.
• Locate specific information by reading rows and columns.+ Show more

Learning Objectives

• Explain how privacy influences ethical decisions about artificial intelligence.
• Describe how transparency makes AI decisions easier to evaluate.
• Identify unfair outcomes linked to incomplete or unrepresentative training data.+ Show more

Learning Objectives

• Define a digital footprint and explain how online actions leave traces
• Describe how repeated digital choices can shape online reputation
• Identify respectful communication choices in digital spaces+ Show more

Learning Objectives

• Identify repeated structures in routines, data, and algorithms
• Predict likely outcomes by recognizing reliable patterns
• Explain how patterns can make problem solving more efficient+ Show more

Learning Objectives

• Define cybersecurity, threat, vulnerability, and prevention in digital contexts.
• Identify common cybersecurity risks involving devices and online accounts.
• Explain how strong passwords and software updates reduce security risks.+ Show more

Learning Objectives

• Explain how decomposition makes large tasks easier to solve.
• Identify subproblems within familiar projects and everyday routines.
• Organize smaller steps into a logical sequence.+ 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 missing, repeated, and misplaced algorithm instructions
• Explain how debugging finds and fixes algorithm errors
• Trace algorithm steps to locate where a problem begins+ Show more

Learning Objectives

• Identify evidence in tables and graphs that supports a claim
• Analyze patterns and comparisons in data displays
• Form conclusions supported by reliable data+ Show more

Learning Objectives

• Explain how an algorithm becomes a sequence of code instructions
• Arrange code instructions in a logical sequence
• Identify when repetition can shorten repeated code instructions+ Show more

Learning Objectives

• Define ethics, transparency, accountability, and responsibility in AI.
• Identify privacy and fairness concerns in AI-assisted decisions.
• Explain how transparency helps people question AI recommendations.+ Show more

Learning Objectives

• Define artificial intelligence and identify tasks associated with human thinking.
• Explain how AI systems recognize patterns in information.
• Describe how AI uses patterns to make predictions.+ Show more

Learning Objectives

• Explain why programmers test programs before considering results reliable
• Compare an expected result with a program's actual output
• Identify instructions that may need correction after testing+ Show more

Learning Objectives

• Identify safe and responsible ways to use artificial intelligence tools.
• Explain why personal information should remain private online.
• Identify reliable ways to verify information generated by AI.+ Show more

Learning Objectives

• Identify features that make an online source more reliable
• Explain how evidence affects the credibility of online information
• Compare sources to judge whether an online claim is trustworthy+ Show more

Learning Objectives

• Identify logical errors in sequences and flowcharts
• Explain how tracing can locate an error in steps
• Use testing and reasoning to correct mistakes+ Show more

Learning Objectives

• Calculate the mean, median, mode, and range of numerical data.
• Explain what each summary measure reveals about a data set.
• Compare groups using multiple numerical summary measures.+ Show more

Learning Objectives

• Define variables, values, data, and storage in programming.
• Identify how variables store information in simple programs.
• Distinguish between assigning values and updating stored information.+ Show more

Learning Objectives

• Define abstraction and explain how it reduces problem complexity.
• Identify essential and unnecessary details in simplified models.
• Compare representations designed for different purposes and users.+ Show more

Learning Objectives

• Define a digital footprint and identify activities that contribute to it.
• Explain how online actions can affect reputation and relationships.
• Describe why deleted digital information may remain accessible.+ Show more

Learning Objectives

• Identify inputs, processing, and outputs in interactive computer systems
• Explain how program instructions transform input into a response
• Compare input-output relationships in calculators, forms, and games+ Show more

Learning Objectives

• Define data ethics, privacy, consent, and responsible data use.
• Identify responsible and irresponsible practices for handling personal information.
• Explain why informed consent and data minimization matter.+ Show more

Learning Objectives

• Distinguish syntax errors from logic errors in simple programs.
• Compare actual program output with expected output using test cases.
• Explain how systematic testing helps identify programming errors.+ Show more