Computer Science Worksheets

Learning Objectives

• Identify personal information that should be kept private online
• Explain why privacy is important when sharing profile details, forms, and messages
• Use vocabulary words personal information, private, public, and secure in context

Learning Objectives

• Explain what variables are and how programs use them while running
• Match common data types (integer, string, boolean, list) to appropriate values and operations
• Choose correct statements for type-related logic and comparisons

Learning Objectives

• Explain how digital balance supports learning, social connection, and wellness.
• Describe how screen time habits can affect sleep, concentration, mood, and physical activity.
• Use lesson vocabulary (balance, wellness, habit, screen time) in accurate statements.+ Show more

Learning Objectives

• Explain how privacy helps protect personal information when using AI tools.
• Identify ways to judge whether an AI answer is trustworthy and complete.
• Describe limits of technology and when human judgment is needed.+ Show more

Learning Objectives

• Define digital footprint and explain how it forms from online activity.
• Describe how online presence can affect reputation and future opportunities.
• Identify how permanence and context influence what stays searchable over time.

Learning Objectives

• Explain what malware is and why unsafe downloads can harm devices or accounts.
• Identify risky digital actions, such as downloading unknown files or opening suspicious attachments.
• Apply protection habits to stay safer online.

Learning Objectives

• Explain the roles of encryption, decryption, and keys in secure communication
• Identify common concepts in cryptography such as plaintext, ciphertext, and authentication
• Evaluate true statements about how cryptography helps protect data online

Learning Objectives

• Explain how loops repeat commands to save time and reduce duplicate code.
• Use loop vocabulary such as repeat, iteration, and efficiency to describe program behavior.
• Identify correct and incorrect statements about loop usage and repeated actions.

Learning Objectives

• Define the terms reliable, observation, measurement, and data and use them correctly.
• Identify reliable ways to collect data and explain why consistent methods matter.
• Choose better survey and investigation plans to support clear conclusions.+ Show more

Learning Objectives

• Identify the roles of fields, records, and primary keys in a relational database table.
• Compare table structures and explain how organized data supports searching, sorting, filtering, and updating.
• Match common database questions to appropriate query actions.

Learning Objectives

• Explain how mean, median, and mode describe the center of a data set
• Use range and spread ideas to compare how variable two data sets are
• Determine which measure (center or spread) is most useful when outliers are present

Learning Objectives

• Use credibility, evidence, and bias to evaluate online claims
• Identify misinformation by checking authorship, sources, and supporting evidence
• Practice choosing the most reliable online information for school and personal decisions

Learning Objectives

• Explain how different online actions create a digital footprint.
• Describe how online presence can affect reputation and opportunities.
• Apply strategies to protect privacy and manage permanence.

Learning Objectives

• Define key statistics vocabulary: mean, median, range, and distribution
• Use averages and range to summarize data and compare groups
• Evaluate statements about statistics using true/false reasoning+ Show more

Learning Objectives

• Define mean, median, mode, and range and explain what each one tells us about a data set.
• Use summary measures to compare different groups using numerical data.
• Choose appropriate summary measures and interpret statements about statistics accurately.

Learning Objectives

• Apply safe browsing habits by checking URLs, avoiding suspicious downloads, and keeping software updated.
• Explain how strong, unique passwords and safe account settings protect digital accounts and personal information.
• Evaluate risky online scenarios and choose the safest response.

Learning Objectives

• Explain how protocols define rules for communication between network devices.
• Describe how data packets move across a network and how they are reassembled at the destination.
• Identify why network standards and common protocol rules improve reliability and interoperability.

Learning Objectives

• Explain how flowcharts use standard symbols to show the steps of a process.
• Design and revise an algorithm using clear step-by-step instructions and decision points.
• Identify correct uses of branches and decisions in flowcharts.

Learning Objectives

• Explain what a digital footprint is and how online actions can leave traces over time
• Identify examples of online activity that can affect a digital footprint (posts, searches, comments, and shared images)
• Use responsible choice-making to build a positive and safe online presence

Learning Objectives

• Explain how abstraction removes unnecessary details to focus on essential information in a system.
• Identify how models simplify complex situations and help communicate ideas in computer science.
• Use lesson vocabulary (abstraction, model, simplify, essential) accurately in explanations.

Learning Objectives

• Identify common cybersecurity threats and describe how they target system weaknesses.
• Differentiate vulnerabilities from threats and explain likely attack paths at a high level.
• Evaluate security risks related to passwords, software updates, and unsafe downloads.

Learning Objectives

• Explain how responsive design helps webpages work on different screen sizes
• Identify key responsive features such as media queries, fluid layouts, and flexible images
• Apply responsive design principles to choose appropriate layout changes for devices

Learning Objectives

• Identify how semantic HTML tags map to common page sections like headings, navigation, articles, and footers.
• Explain how semantic structure improves readability, searchability, and maintainability.
• Choose appropriate semantic elements for given descriptions of content.

Learning Objectives

• Identify misinformation, credibility, bias, and evidence in online posts.
• Use source credibility and evidence to judge whether a claim is likely true.
• Explain how bias and missing evidence can mislead readers.+ Show more

Learning Objectives

• Explain how functions group reusable instructions in a program
• Differentiate parameters from arguments used in function calls
• Describe how return values send results back to a caller+ Show more

Learning Objectives

• Define functions and explain how they support code reuse
• Identify the role of parameters in a function
• Explain how return values provide function results+ Show more

Learning Objectives

• Define a function, call, and reusable code in simple computer science language
• Explain why reusable code blocks make programs easier to read and maintain
• Choose the best option that describes how functions work in a program

Learning Objectives

• Define conditional logic and identify a condition and an outcome in a given scenario
• Describe how a branching algorithm chooses different paths based on a condition
• Use conditional vocabulary (conditional, condition, branch, outcome) to explain rule-based decisions+ Show more

Learning Objectives

• Define the terms debug, logic, error, and trace and use them in context
• Identify where a logical error breaks a program’s reasoning by tracing steps
• Choose the best debugging strategy to test assumptions and follow the correct decision path+ Show more

Learning Objectives

• Define conditional, branch, rule, and decision in the context of programming
• Identify which path a program will take based on a given condition
• Use if-then-else logic to predict output for different inputs+ Show more

Learning Objectives

• Define the terms conditional, condition, branch, and outcome.
• Use if-then logic to predict what happens next in a branching situation.
• Match common programming-like rules to the correct conditional meaning.+ Show more

Learning Objectives

• Explain how recommendation systems use an algorithm to suggest content based on past behavior and patterns.
• Use key vocabulary (recommendation, preference, suggestion, algorithm) to describe how personalization works.
• Evaluate whether a claim about recommendation systems is true or false using evidence from the lesson description.

Learning Objectives

• Define multi-factor authentication and explain why it improves security
• Identify common factors (something you know, have, or are) used in verification
• Compare a single-step login process with a multi-step MFA process

Learning Objectives

• Use keywords and quotation marks to form more precise search queries.
• Apply common search operators and filters to narrow results and improve relevance.
• Explain how query structure affects search results.

Learning Objectives

• Define authentication, verification, and factor and explain how they relate to security.
• Compare single-factor login to multi-factor authentication and describe why MFA improves protection.
• Identify correct and incorrect statements about MFA using real-world examples.

Learning Objectives

• Use keyword choices and search operators to make online queries more targeted.
• Evaluate search results for relevance and credibility before using information.
• Compare broad and focused searches to improve the quality of findings.

Learning Objectives

• Identify a trend by describing how values change over time or across categories in a graph or table
• Use trend words like increase and decrease to explain what happens in data
• Match data patterns to correct trend descriptions+ Show more

Learning Objectives

• Explain how accessibility features improve user experience for people using different devices and supports.
• Identify which design changes make a website more inclusive (e.g., alt text, contrast, keyboard navigation).
• Evaluate statements about accessible web design for correctness.

Learning Objectives

• Define the terms recommendation, preference, suggestion, and algorithm in the context of recommendation systems.
• Explain how recommendation systems use past choices and patterns in data to suggest items.
• Identify examples of how suggestions can be helpful but not always perfect.

Learning Objectives

• Explain how recommendation systems use data and patterns to suggest content.
• Compare common recommendation approaches and describe their strengths and limits.
• Evaluate how recommendations can differ for users and affect choices.

Learning Objectives

• Define recommendation, preference, suggestion, and algorithm in the context of online content
• Explain how recommendation systems use patterns in data to rank what people see
• Identify factors that can shape recommendations and describe an effect on what people view+ Show more

Learning Objectives

• Explain how responsible AI use includes checking results and thinking critically.
• Use key vocabulary such as responsible, judgment, accuracy, and ethics in context.
• Identify safe, fair, and ethical ways to use AI tools in school tasks.

Learning Objectives

• Explain what input is and how it is used in a computer system to produce output
• Identify common examples of input devices and describe how they send data to the computer
• Evaluate whether a statement about input and output is correct+ Show more

Learning Objectives

• Explain how normalization reduces data redundancy and update anomalies in relational databases.
• Compare an unnormalized table with a normalized design and justify the benefits.
• Identify functional dependencies that motivate splitting tables during normalization.

Learning Objectives

• Define the terms input, output, and response using simple program examples.
• Identify what counts as an input and what counts as an output in a short scenario.
• Use the words input, output, program, and response to complete sentences about how programs work.+ Show more

Learning Objectives

• Explain how input devices collect data and how programs process that data.
• Differentiate between input and output in a computer system using examples.
• Evaluate statements about signals, devices, and the flow of information.

Learning Objectives

• Identify the correct sequence of the software development lifecycle (planning, design, building, testing, maintenance).
• Explain how lifecycle steps help teams manage projects and reduce risks.
• Apply lifecycle knowledge to scenarios involving games, apps, and websites.

Learning Objectives

• Explain how inheritance supports code reuse and extension in object-oriented design.
• Describe polymorphism and how it enables different objects to respond to the same method call.
• Identify correct uses of method overriding and dynamic dispatch in class hierarchies.