Computer Science Worksheets

Learning Objectives

• Define a computer network and identify its connected nodes.
• Compare wired and wireless connections used by networked devices.
• Explain how switches and routers support network communication.+ Show more

Learning Objectives

• Explain how privacy settings control account visibility and contact.
• Evaluate app permissions according to an application's purpose.
• Describe how informed consent affects personal data sharing.+ 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

• 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

• Identify conditions that determine an algorithm's execution path
• Interpret Boolean values and distinguish conditional branches
• Trace conditional algorithms using different inputs and rules+ Show more

Learning Objectives

• Identify everyday benefits of AI tools using familiar classroom examples.
• Explain accuracy risks using examples of incorrect AI results.
• Describe how to protect personal information when using AI tools.+ 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 conditions and conditional statements in simple programs
• Explain how IF and ELSE control alternative program actions
• Determine whether programming conditions evaluate as true or false+ Show more

Learning Objectives

• Identify trends that show how data changes over time
• Recognize repeated or organized patterns in data
• Compare trends and patterns using data examples+ 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

• Define variables and explain how programs store information.
• Distinguish variable names from the values they hold.
• Trace value changes caused by assignment statements.+ Show more

Learning Objectives

• Explain how testing reveals whether an algorithm works as intended
• Evaluate test results to identify weak points and errors
• Describe how revision improves accuracy, clarity, and reliability+ 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

• 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 loops and iteration using accurate programming terminology.
• Trace repeated instructions to determine action counts and program outputs.
• Compare loop-based solutions with duplicated individual instructions.+ 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

• 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

• 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

• Define functions and explain how they organize program instructions
• Identify parameters and return values in simple function examples
• Trace function calls that use inputs and return calculated results+ 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

• 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

• Explain why AI-generated information must be checked against reliable sources
• Identify responsible ways to protect privacy when using AI tools
• Recognize potential bias and evaluate AI-generated suggestions fairly+ Show more

Learning Objectives

• Identify features that make passwords difficult to guess.
• Compare weak and strong passwords using length and character variety.
• Explain why each online account needs a unique password.+ 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 sequence, step, order, and process using examples
• Arrange actions in a sensible order to complete tasks
• Identify what happens first, next, then, and last+ 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

• Define digital balance, digital well-being, and screen time.
• Identify healthy habits for responsible digital device use.
• Compare balanced and unbalanced daily technology routines.+ 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 similarities between two recorded data sets
• Compare numerical differences in classroom survey results
• Calculate totals using information from two groups+ 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

• Define bandwidth, latency, and throughput in network communication.
• Compare bandwidth and latency using everyday network scenarios.
• Identify factors that increase latency or reduce effective throughput.+ Show more

Learning Objectives

• Identify similarities and differences between two sets of data
• Compare amounts using greater, less, and same
• Read simple tables and classroom survey results+ 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 programs, instructions, commands, input, and output
• Distinguish user input from computer output
• Explain how instruction sequences guide computer actions+ 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

• 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

• Identify conditions, choices, branches, and paths in decision trees
• Explain how yes-or-no answers guide different computer results
• Follow simple decision-tree paths to determine outcomes+ Show more

Learning Objectives

• Define recommendation systems and explain their purpose on digital platforms
• Explain how algorithms use data to generate personalized suggestions
• Identify how previous behavior and preferences influence recommendations+ Show more

Learning Objectives

• Identify repeated actions and predictable patterns in simple programs
• Arrange code instructions in a logical sequence
• Explain how repeat instructions make code shorter and clearer+ Show more

Learning Objectives

• Define malware and distinguish viruses from ransomware.
• Explain how malicious software can damage devices or steal information.
• Identify safe software download and update practices.+ 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

• Explain why AI-generated information requires accuracy and completeness checks.
• Compare AI responses with reliable sources to identify errors and omissions.
• Identify personal information that should remain private when using AI tools.+ Show more

Learning Objectives

• Define decomposition and explain how it simplifies complex problems
• Identify subproblems within a larger task
• Organize subproblems into a useful sequence+ 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

• Define abstraction and explain how it focuses attention on relevant information
• Identify essential and unnecessary details in real-world systems
• Explain how models and representations simplify complex information+ 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 common graph and chart types
• Compare categories and values using displayed data
• Interpret titles, labels, scales, units, and keys+ 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