Computer Science Worksheets

Learning Objectives

• Identify key features of credible online sources, including evidence, authorship, and bias.
• Use vocabulary terms such as misinformation, credibility, evidence, and bias to explain source quality.
• Apply a source-evaluation process to decide whether a claim should be accepted or questioned.

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

• Explain how privacy settings control who can view personal information and activity.
• Describe data protection practices that reduce the risk of unwanted sharing.
• Use permissions and account settings to manage visibility and data access.

Learning Objectives

• Explain how loops support iteration by repeating instructions with a stopping condition
• Compare efficiency and readability between loop-based solutions and duplicate-code approaches
• Identify common loop use cases such as counting, pattern generation, and checking conditions

Learning Objectives

• Choose an appropriate collection type (array, list, or set) for a given problem and justify the choice.
• Predict how an iteration loop will process each element in a collection.
• Use reasoning to compute totals, avoid duplicates, and search through collections.

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 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

• Explain how testing an algorithm under different conditions can reveal errors or weak points.
• Use evidence from test results to revise an algorithm to improve reliability.
• Define and use the vocabulary terms test, revise, evaluate, and correct in context.

Learning Objectives

• Explain how consistent methods and reliable measurements improve data quality.
• Use validation steps to check that collected data is complete and trustworthy.
• Compare different data collection methods and identify common sources of error.

Learning Objectives

• Explain why reliable data collection uses careful observation and accurate counting.
• Identify common ways to reduce errors in a simple survey or measurement.
• Use vocabulary related to reliable data: reliable, observe, count, and data.

Learning Objectives

• Define phishing and social engineering and describe how they try to manipulate people.
• Identify common warning signs in realistic messages and explain safer next steps.
• Use key vocabulary (deception, scam) to describe how attackers pressure victims.

Learning Objectives

• Identify common warning signs of scams and phishing messages.
• Explain safe choices when you see suspicious emails, texts, or pop-ups.
• Use key vocabulary (scam, phishing, suspicious, fraud) accurately in explanations.

Learning Objectives

• Explain how digital identity forms from usernames, profiles, posts, comments, and shared content.
• Describe how online reputation is influenced by tone, audience, and sharing choices.
• Apply vocabulary such as digital identity, reputation, audience, and presence to real-life online scenarios.

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

• Explain how AI can help people save time and organize information
• Identify limits of AI such as mistakes and bias from data
• Use vocabulary words benefit, limit, bias, and accuracy in context+ Show more

Learning Objectives

• Explain how privacy, intellectual property, and respect guide ethical technology choices.
• Identify responsible actions when facing common digital dilemmas.
• Apply digital citizenship principles to online behavior and information sharing.

Learning Objectives

• Identify patterns in solutions and explain how they help solve new problems.
• Use pattern recognition to describe a strategy that can be repeated across tasks.
• Match vocabulary words such as pattern, strategy, repeat, and recognition to their meanings.+ Show more

Learning Objectives

• Identify whether one data set has a greater, less, or the same amount as another data set.
• Use compare and data set vocabulary to describe differences and similarities in survey results.
• Select correct answers when comparing totals shown in charts and statements.+ Show more

Learning Objectives

• Explain how computer networks connect devices and move information between locations.
• Use key vocabulary (network, node, connection, infrastructure) to describe network parts and functions.
• Identify the difference between local communication and global communication in networks.

Learning Objectives

• Identify the difference between a trend and a pattern in data
• Use trend and pattern clues to make an evidence-based prediction
• Describe whether data is increasing or decreasing over time

Learning Objectives

• Explain how the internet connects devices using networks and data transfer.
• Describe the roles of networks and servers in sending and receiving information.
• Use key vocabulary words correctly: internet, network, server, connect.

Learning Objectives

• Explain how clear variables and consistent measurement improve data reliability.
• Identify sources of bias and faulty sampling that can weaken conclusions.
• Use evidence to judge whether a data set is complete enough for analysis.

Learning Objectives

• Define loop, repeat, and iteration in the context of computer programs
• Explain how loops help programs run more efficiently by reducing duplicate code
• Choose appropriate loop logic for repeating actions such as counting, patterns, or movement+ Show more

Learning Objectives

• Explain how monitoring and filtering help detect and reduce network threats.
• Match common network defense tools and practices to the types of attacks they can help block.
• Describe secure device and network configuration habits that lower the risk of unauthorized access.

Learning Objectives

• Identify the parts of a table: rows and columns
• Organize information into a table to make it easier to read
• Explain how organized data can help find patterns and relationships+ Show more

Learning Objectives

• Explain how loops use repetition to automate repeated steps in a program.
• Use loop ideas to predict what a program will do over multiple iterations.
• Compare efficiency and code clarity when using loops instead of duplicate instructions.

Learning Objectives

• Identify patterns in routines, data, and step-by-step solutions.
• Use patterns to predict what comes next in an algorithm or sequence.
• Explain how repeatable structure helps solve new problems using familiar ideas.

Learning Objectives

• Identify examples of personal information and explain why it can be risky to share online
• Classify information as private or public and choose safer options for profiles, forms, and messages
• Use privacy vocabulary (personal information, private, public, secure) to describe safe online behavior+ Show more

Learning Objectives

• Interpret common SQL clauses (SELECT, FROM, WHERE, ORDER BY, LIMIT) and predict which rows appear.
• Choose correct SQL syntax for filtering and sorting data in a relational database.
• Explain how logical conditions in WHERE affect the result set.

Learning Objectives

• Translate an everyday process into structured pseudocode using sequence, selection, and iteration.
• Use flowchart symbols and arrows to represent the same logic as pseudocode.
• Compare statements and logic to decide whether a pseudocode or flowchart step is correct.

Learning Objectives

• Define the terms scam, phishing, suspicious, and fraud and use them correctly.
• Identify common warning signs in messages, pop-ups, and emails.
• Explain safe actions to take when you are unsure a message is real.+ Show more

Learning Objectives

• Explain how testing an algorithm helps find errors under different conditions.
• Use test results to revise and improve a solution’s accuracy and clarity.
• Identify common weaknesses in a procedure and evaluate whether changes fix them.

Learning Objectives

• Identify and use key spreadsheet vocabulary: spreadsheet, worksheet, cell, row, and column.
• Explain how data is organized in rows and columns to form cells in a spreadsheet.
• Describe and apply simple spreadsheet skills such as sorting information.

Learning Objectives

• Identify warning signs of phishing and common malware threats
• Match cyber threats with their likely effects on systems
• Apply safer behaviors when handling links, downloads, and attachments+ Show more

Learning Objectives

• Explain what decomposition means in computational thinking.
• Identify subproblems as smaller parts of a larger problem.
• Choose an effective strategy for breaking a task into manageable steps.+ Show more

Learning Objectives

• Define personal information and explain why it should stay private online.
• Choose which details are safe to share in messages, profiles, and forms.
• Explain how using strong, secure passwords helps protect accounts.+ Show more

Learning Objectives

• Explain how APIs enable communication between software systems using requests and responses
• Describe how data fetching supports dynamic content after a page loads
• Evaluate outcomes of API requests, including success responses and error handling

Learning Objectives

• Identify harmful online behaviors that qualify as cyberbullying or harassment.
• Choose safe, responsible responses as a bystander or target.
• Use key vocabulary (cyberbullying, harassment, report, bystander) to explain next steps.

Learning Objectives

• Explain how clear variables and careful measurement improve reliability of data.
• Use reliable data collection methods to observe, record, and compare results.
• Identify common errors that can reduce the quality of survey and experiment data.

Learning Objectives

• Identify evidence from graphs and tables to support a claim or conclusion.
• Use careful analysis of data displays to explain why a conclusion is valid.
• Distinguish between guessing and conclusions supported by reliable data.

Learning Objectives

• Explain how encryption helps protect digital information from unauthorized reading.
• Use key vocabulary (encryption, decryption, key, secure communication) accurately in context.
• Identify correct statements about secure communication and the role of keys.

Learning Objectives

• Explain what a loop does in a program.
• Identify how repeating an action can create a pattern.
• Complete sentences and code-like descriptions using loop vocabulary.+ Show more

Learning Objectives

• Identify common types of personal information and explain why they should stay private online.
• Choose safer sharing options for websites, apps, and online accounts.
• Apply privacy and security steps to reduce risks like identity theft and scams.+ Show more

Learning Objectives

• Explain how bubble sort, selection sort, and insertion sort work at the level of passes and swaps
• Trace sorting steps to predict the final ordered list
• Compare algorithm behavior by describing how many times elements may move or swap+ Show more

Learning Objectives

• Explain how flowcharts show step-by-step processes using symbols and arrows.
• Use decision paths to describe how choices affect outcomes in an algorithm.
• Identify and interpret common flowchart vocabulary: flowchart, decision, branch, and symbol.

Learning Objectives

• Use evidence and data analysis to support a conclusion or recommendation.
• Explain how a decision can be justified by comparing alternatives using logical reasoning.
• Use key vocabulary words: evidence, analysis, conclusion, and decision.

Learning Objectives

• Compare two or more data sets to find similarities and differences
• Use data words such as greater, less, equal, and changing to describe relationships
• Identify patterns by describing how values change across data sets

Learning Objectives

• Identify trends and patterns in data presented over time or across categories.
• Explain how correlation can suggest relationships but does not prove causation.
• Use analysis to make reasonable predictions based on observed data.+ Show more