Computer Science Worksheets

Learning Objectives

• Describe artificial intelligence using a familiar example of smart technology.
• Explain how labeled training examples help AI recognize repeated patterns.
• Explain how AI uses patterns to predict a new picture's subject.+ Show more

Learning Objectives

• Identify variables as places where programs store information.
• Explain how a variable's value changes as programs run.
• Describe how variables track scores, names, timers, and progress.+ Show more

Learning Objectives

• Identify practices that make passwords difficult to guess.
• Explain how unique passwords reduce risks from credential exposure.
• Describe how password managers support secure account management.+ Show more

Learning Objectives

• Identify behaviors that can be considered cyberbullying
• Explain safe and respectful bystander responses to online harm
• Choose appropriate ways to report online harassment+ Show more

Learning Objectives

• Identify respectful and disrespectful choices in online communication
• Explain how word choice affects how an online message is received
• Describe how tone can be difficult to recognize in text messages+ Show more

Learning Objectives

• Identify integers, floating-point numbers, strings, and booleans.
• Classify example values according to their appropriate data types.
• Explain how data types affect available programming operations.+ Show more

Learning Objectives

• Define functions as reusable groups of programming instructions.
• Identify function calls and explain how they execute tasks.
• Describe how parameters provide information to functions.+ Show more

Learning Objectives

• Distinguish changes over time from repeated arrangements in recorded data.
• Identify increases and decreases by comparing successive recorded values.
• Recognize repeated numerical changes and alternating patterns in data sets.+ Show more

Learning Objectives

• Define artificial intelligence using age-appropriate computer science vocabulary.
• Identify everyday applications of artificial intelligence and smart technology.
• Explain how AI uses information to recognize patterns.+ Show more

Learning Objectives

• Define bias and fairness in artificial intelligence.
• Identify how incomplete training data can contribute to biased outcomes.
• Explain why representation matters when evaluating AI systems.+ Show more

Learning Objectives

• Identify evidence and conclusions in data-based explanations.
• Interpret numerical information presented in tables, graphs, and surveys.
• Compare recorded results to identify conclusions supported by evidence.+ Show more

Learning Objectives

• Identify the goal, features, inputs, outputs, and steps of a project
• Explain how planning organizes coding work and reduces mistakes
• Describe how inputs and outputs guide program decisions+ Show more

Learning Objectives

• Identify missing steps in an incomplete sequence
• Recognize steps placed in the wrong order
• Explain how debugging helps find and fix sequence errors+ Show more

Learning Objectives

• Identify trends by comparing values in tables and graphs
• Describe increases and decreases using accurate data vocabulary
• Recognize patterns across values and categories+ Show more

Learning Objectives

• Identify the roles of common flowchart symbols and connecting arrows.
• Trace labeled decision branches to determine the next algorithm step.
• Explain why a return path creates a loop within an algorithm.+ Show more

Learning Objectives

• Identify loops as instructions that repeat actions in programs
• Explain how iterations describe repeated runs of instructions
• Describe how repeat counts control repeated program actions+ Show more

Learning Objectives

• Identify how past choices provide data for recommendation systems
• Explain how algorithms connect preferences and data patterns
• Describe why recommendations may not always be perfect matches+ Show more

Learning Objectives

• Define machine learning and describe how systems identify patterns in data
• Explain how training data is used to construct a machine learning model
• Identify data quality issues that can reduce prediction accuracy+ Show more

Learning Objectives

• Identify differences between human intelligence and machine intelligence.
• Explain how creativity helps people develop original solutions.
• Describe how emotions and empathy influence human interactions.+ Show more

Learning Objectives

• Define malware and identify common ways harmful software reaches devices
• Recognize warning signs in unsafe downloads and suspicious attachments
• Explain how malware can affect files, devices, and personal information+ Show more

Learning Objectives

• Define cloud computing and explain the role of remote servers
• Compare local device storage with storage provided by cloud services
• Explain how synchronization updates files across connected devices+ Show more

Learning Objectives

• Identify online activities that contribute to a person's digital identity
• Explain how digital choices influence online reputation and impressions
• Evaluate how audience and tone affect online communication+ Show more

Learning Objectives

• Identify movement commands and explain the importance of their order.
• Predict program outcomes when the command sequence changes.
• Arrange movement commands to complete a planned route.+ Show more

Learning Objectives

• Identify how command order affects a program's output
• Explain why commands must follow a precise sequence
• Compare working and non-working code structures for sequencing errors+ Show more

Learning Objectives

• Identify similarities between two recorded data sets
• Compare numerical differences in classroom survey results
• Calculate totals using information from two groups+ Show more

Learning Objectives

• Define authentication, verification, factor, and security in digital accounts.
• Compare single-factor and multi-factor authentication methods.
• Classify examples as knowledge, possession, or biometric authentication factors.+ Show more

Learning Objectives

• Define decomposition and explain its role in managing complex problems
• Identify subproblems that contribute to a complete computer science solution
• Explain dependencies and determine appropriate task sequences+ Show more

Learning Objectives

• Identify events that cause interactive programs to act
• Explain how triggers connect events to program responses
• Recognize user actions and timed actions as programming events+ Show more

Learning Objectives

• Identify warning signs in suspicious websites, links, and pop-ups
• Evaluate website addresses and sources before downloading files
• Explain why unexpected attachments and urgent pop-ups require caution+ 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

• Define digital wellness and explain its role in a balanced routine
• Identify how excessive screen time can affect sleep and concentration
• Describe strategies for balancing technology use with daily responsibilities+ Show more

Learning Objectives

• Identify responsible uses of AI tools for learning and research.
• Explain why AI-generated claims require accuracy and completeness checks.
• Evaluate AI responses using reliable sources and supporting evidence.+ Show more

Learning Objectives

• Explain how AI finds similarities and differences in data.
• Define pattern recognition, data, classification, and prediction using examples.
• Identify everyday uses of pattern recognition in AI systems.+ Show more

Learning Objectives

• Identify common warning signs of phishing messages and online scams
• Explain how urgency and deception influence social engineering attacks
• Evaluate suspicious messages by checking senders, links, and requests+ Show more

Learning Objectives

• Explain how a learning program builds a model from examples.
• Identify training data in a class's fruit-sorting example.
• Describe shape and color as features used to find patterns.+ Show more

Learning Objectives

• Define mean, median, range, and distribution using accurate terminology.
• Calculate the mean, median, and range of numerical data sets.
• Interpret distributions to identify clusters, gaps, and possible outliers.+ Show more

Learning Objectives

• Identify how computer networks connect devices to exchange information.
• Explain the roles of routers, switches, cables, and wireless signals.
• Compare local networks with internet-connected networks.+ Show more

Learning Objectives

• Explain how surveys gather information by asking questions
• Identify data collected through questions, observations, and counts
• Recognize responses recorded during a classroom survey+ Show more

Learning Objectives

• Define cloud storage and explain access across permitted devices
• Explain how syncing updates files across connected devices
• Compare online storage with storage on a single device+ Show more

Learning Objectives

• Define variables, values, data types, and assignment in programming.
• Distinguish integers, decimals, strings, and Boolean values.
• Explain how assignment initializes or updates a variable.+ Show more

Learning Objectives

• Explain how careful observations improve the reliability of collected data.
• Identify consistent survey procedures that support fair comparisons of responses.
• Describe measurement methods using a shared starting point and unit.+ 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

• Identify features of a clear and organized digital product
• Explain how headings and readable text support an audience
• Select media that matches a project's purpose and audience+ Show more

Learning Objectives

• Distinguish a coding project’s goal from its planned features.
• Identify screen objects and their placement in a project sketch.
• Sequence instructions to describe how a planned program should work.+ Show more

Learning Objectives

• Identify rules in numeric, visual, and action patterns
• Predict the next part of a pattern using its rule
• Recognize repeating parts in simple patterns and program steps+ Show more

Learning Objectives

• Identify features that make passwords difficult to guess
• Explain why different passwords protect separate accounts
• Describe safe habits for protecting login details+ Show more

Learning Objectives

• Define digital footprints, online presence, and online reputation.
• Identify everyday activities that leave digital traces.
• Compare positive and negative online behaviors.+ Show more

Learning Objectives

• Identify conditions and decisions in everyday algorithms
• Explain how yes-or-no conditions create branching paths
• Predict outcomes by following logical instructions+ Show more