Worksheet Worksheets

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 recurring structures and relationships across computer science problems.
• Explain how observed patterns support predictions about future results.
• Construct generalizations from repeated examples and observations.+ Show more

Learning Objectives

• Identify habits that support balanced technology use.
• Explain why breaks support healthy screen-time routines.
• Distinguish healthy and unhealthy technology choices.+ Show more

Learning Objectives

• Identify safe routines for using shared classroom devices
• Explain why logging out protects private information
• Recognize information that should remain private+ Show more

Learning Objectives

• Define an algorithm and describe its role in an AI system.
• Explain how AI inputs are processed to produce outputs.
• Describe how training data helps machine learning identify patterns.+ Show more

Learning Objectives

• Identify rows, columns, cells, worksheets, and spreadsheet files.
• Locate spreadsheet cells using column letters and row numbers.
• Explain how spreadsheets organize information for storage and analysis.+ Show more

Learning Objectives

• Identify common chart types and their appropriate uses.
• Interpret visual patterns and trends in data displays.
• Compare graphs for clarity, accuracy, and effective communication.+ Show more

Learning Objectives

• Identify suitable methods for collecting accurate data
• Explain how consistent procedures improve measurement reliability
• Distinguish data validation from data collection+ Show more

Learning Objectives

• Evaluate AI-generated claims using reliable sources and supporting evidence
• Identify limitations that can make AI-generated responses inaccurate or incomplete
• Explain how human judgment guides responsible AI-assisted learning+ Show more

Learning Objectives

• Define a function as a named block of reusable instructions.
• Explain how a function call executes instructions inside a function.
• Compare repeated instructions with reusable code in a program.+ 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

• Identify data types that AI-powered apps and websites may collect.
• Explain how privacy protects personal information in digital tools.
• Describe how informed consent supports responsible data collection.+ Show more

Learning Objectives

• Identify trends and recurring patterns in data collected over time.
• Interpret possible correlations between variables without assuming causation.
• Use numerical evidence to draw reasonable conclusions and predictions.+ Show more

Learning Objectives

• Define artificial intelligence, algorithms, automation, and prediction using everyday examples.
• Identify AI applications in communication, entertainment, transportation, and education.
• Explain how recommendation systems use information to suggest content.+ Show more

Learning Objectives

• Identify common flowchart symbols and describe their purposes.
• Interpret directional arrows to determine the sequence of steps.
• Explain how decision diamonds create alternative process paths.+ Show more

Learning Objectives

• Identify how inputs and outputs support interactive program behavior
• Explain how events connect user actions to program responses
• Distinguish the roles of loops and conditionals in programs+ Show more

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

• Explain why code steps need a logical sequence
• Identify clear and precise commands in simple programs
• Arrange code steps in an order a computer follows+ Show more

Learning Objectives

• Identify loops as instructions that repeat actions in programs
• Explain how repeat counts control the number of repetitions
• Recognize loops used to create patterns and animations+ Show more

Learning Objectives

• Identify personal information that can reveal identity or location.
• Distinguish between public information and details that should remain private.
• Explain how strong passwords and privacy settings reduce online risks.+ Show more

Learning Objectives

• Identify titles, labels, scales, and keys before reading graph values.
• Compare category amounts represented in bar graphs and pictographs.
• Calculate quantities using the value stated in a pictograph key.+ Show more

Learning Objectives

• Identify common inputs in simple interactive computer programs
• Identify outputs produced in response to user actions
• Explain how a program responds to a user's input+ Show more

Learning Objectives

• Identify methods that help produce reliable data
• Explain how careful observation improves data quality
• Compare reliable and unreliable data collection methods+ Show more

Learning Objectives

• Identify rows, columns, and headers in a data table
• Organize information into clear rows and columns
• Compare table data to identify patterns and differences+ Show more

Learning Objectives

• Define bug, error, debug, and fix in simple programming
• Identify missing commands in simple code sequences
• Recognize repeated and incorrectly ordered commands+ Show more

Learning Objectives

• Identify characteristics of reliable online information sources.
• Explain how authorship influences source credibility.
• Evaluate evidence used to support online claims.+ Show more

Learning Objectives

• Define machine learning, training data, model, and pattern.
• Explain how training examples help models recognize patterns.
• Compare how training data influences predictions and classification.+ Show more

Learning Objectives

• Identify the roles of servers, routers, cables, and wireless systems.
• Explain how data packets carry information across connected networks.
• Describe how routers forward packets toward their destinations.+ Show more

Learning Objectives

• Identify events that cause programs to respond to user actions.
• Explain how triggers connect events to programmed responses.
• Compare event-driven interactions in games and digital applications.+ Show more

Learning Objectives

• Identify conditions, branches, decision points, pathways, and outcomes.
• Follow decision pathways to determine the correct final outcomes.
• Interpret how different conditions affect decision tree results.+ Show more

Learning Objectives

• Define digital footprints and identify online actions that leave traces
• Explain how repeated online choices influence reputation over time
• Compare positive and negative digital behaviors and their possible effects+ Show more

Learning Objectives

• Define AI bias and explain its effects on system outputs.
• Identify how incomplete training data can produce unfair results.
• Compare AI outcomes from balanced and unbalanced training data.+ Show more

Learning Objectives

• Identify the roles of networks, servers, and connected devices.
• Explain how data packets move between devices across networks.
• Describe how protocols support communication between connected devices.+ Show more

Learning Objectives

• Identify logical errors by comparing expected and actual results
• Trace program steps to locate where reasoning breaks down
• Explain how incorrect sequences create logical errors+ Show more

Learning Objectives

• Identify ways AI tools suggest options and organize information.
• Use essential AI decision-making vocabulary correctly.
• Compare AI suggestions using relevant information and clear reasons.+ Show more

Learning Objectives

• Identify conditions and outcomes in rule-based algorithms
• Explain how if-then statements create different program paths
• Describe how branches determine program actions+ Show more

Learning Objectives

• Define recommendation, preference, suggestion, and algorithm in digital contexts
• Explain how previous choices help platforms generate personalized suggestions
• Identify data patterns used to predict content preferences+ Show more

Learning Objectives

• Identify common flowchart symbols and their purposes
• Trace arrows and branches to follow an algorithm
• Explain how decisions create different algorithm outcomes+ Show more

Learning Objectives

• Define variables and values in the context of computer programs.
• Identify numerical, text, and Boolean values stored in variables.
• Calculate updated variable values after assignment and arithmetic operations.+ Show more

Learning Objectives

• Distinguish expected outcomes from actual results in a program test.
• Compare recorded observations to identify successful behavior and program problems.
• Explain why testing different inputs examines more program conditions.+ Show more

Learning Objectives

• Identify personal data that should be protected when using AI tools
• Explain how privacy settings can limit unnecessary data sharing
• Describe safe choices when an AI app requests information+ Show more

Learning Objectives

• Identify essential features of bar graphs, line graphs, and pictographs.
• Interpret numerical quantities and categories represented in graphs.
• Calculate totals and differences using graph information.+ Show more

Learning Objectives

• Identify repeated patterns in collected data.
• Interpret trends shown in data collected over time.
• Make evidence-based predictions from observed data.+ Show more

Learning Objectives

• Identify warning signs in suspicious online messages and advertisements.
• Explain the meanings of scam, phishing, suspicious, and fraud.
• Recognize attempts to obtain passwords and other private information.+ Show more

Learning Objectives

• Define bandwidth, connection speed, and data in computer networks
• Explain how bandwidth affects downloads, streaming, and online activities
• Compare network connections using download examples and supporting evidence+ Show more

Learning Objectives

• Identify collection methods that improve data reliability.
• Explain how clearly defined variables support fair comparisons.
• Compare surveys, measurements, and simple experiments.+ Show more

Learning Objectives

• Define an algorithm and explain its purpose
• Identify how sequence improves step-by-step algorithms
• Evaluate instructions for clarity and correct order+ Show more

Learning Objectives

• Identify the purposes of line graphs, bar graphs, and circle graphs
• Select suitable graph types for different data sets and questions
• Explain how visualizations reveal patterns, comparisons, and proportions+ Show more