Computer Science Worksheets

Learning Objectives

• Define and use the vocabulary compare, data set, relationship, and difference when discussing data.
• Identify similarities and differences between two or more data sets using greater, less, equal, and changing values.
• Describe how a relationship can be shown by how values change across data sets.+ Show more

Learning Objectives

• Define key cybersecurity terms and explain how they relate to online safety.
• Identify common threats and vulnerabilities in everyday digital habits.
• Apply prevention strategies to protect devices and online accounts.

Learning Objectives

• Define two-factor authentication and explain how it adds an extra security step.
• Identify common second factors such as a code, a message, or an app prompt.
• Compare single-step login versus two-step verification using a real-world lock example.

Learning Objectives

• Define debug, bug, error, and troubleshoot and use the words in explanations
• Identify common causes of program problems such as missing commands, wrong order, and logic that does not match the intended result
• Use tracing steps to find where code behavior first goes wrong and describe a fix+ Show more

Learning Objectives

• Define test, output, result, and correct as they relate to checking a program
• Compare an expected outcome with the actual output from a program test
• Choose the correct conclusion about whether a program’s output matches the intended result+ Show more

Learning Objectives

• Define mean, median, range, and distribution using data from examples
• Calculate the mean, median, and range for small data sets
• Use numerical summaries to compare two groups described by statistics+ Show more

Learning Objectives

• Define key digital wellness terms and explain why they matter.
• Match strategies to examples that support healthier screen time.
• Use screen-time management habits to plan a balanced day.+ Show more

Learning Objectives

• Explain what a strategy is and how it helps with a solution to a problem
• Compare two solution strategies by considering clarity, speed, and accuracy
• Choose the most efficient strategy for a simple classroom problem

Learning Objectives

• Define key vocabulary for interactive games, including interactive, game, score, and program
• Explain how variables and loops can update a game over repeated turns
• Use conditionals to decide what happens in a game when an event occurs+ Show more

Learning Objectives

• Identify similarities and differences between data sets
• Compare values using greater than, less than, and equal
• Calculate differences between values in data sets+ Show more

Learning Objectives

• Identify how algorithms use steps to solve problems
• Explain what variables store in an algorithm
• Use conditional logic to choose different outcomes

Learning Objectives

• Explain the difference between stack (LIFO) and queue (FIFO) behavior.
• Identify which ADT best fits a given scenario using push/pop or enqueue/dequeue operations.
• Analyze statements about stack and queue operations for correctness.+ Show more

Learning Objectives

• Define evidence, conclusion, and analysis using data displays.
• Use information from a table or graph to choose the best conclusion.
• Explain how analysis of data supports a claim.

Learning Objectives

• Explain how responsible AI use supports human judgment when making digital choices.
• Identify strategies for checking AI results for accuracy and fairness.
• Describe how respect for privacy applies to everyday AI features.

Learning Objectives

• Define key conditional vocabulary such as condition, decision, and branch.
• Identify which action a simple program would take based on an if/else condition.
• Use conditional logic to predict outputs for different inputs.

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

• Explain how testing helps validate an algorithm and find errors in edge cases and unexpected inputs.
• Use test results to refine steps and improve correctness, clarity, and reliability.
• Validate that changes do not break earlier behavior by retesting with multiple scenarios.

Learning Objectives

• Explain how flowcharts use symbols and arrows to show a process.
• Identify how decision nodes create branches that change an outcome.
• Read and interpret simple decision paths in an algorithm.+ Show more

Learning Objectives

• Define key terms: recommendation, preference, prediction, and algorithm.
• Explain how a recommendation system uses information and patterns to make predictions.
• Identify examples of recommendation systems and describe how they suggest items.

Learning Objectives

• Define key vocabulary related to healthy digital habits: balance, habit, screen time, and wellness.
• Compare technology routines that support focus and well-being with routines that may harm them.
• Use evidence from a short passage to choose healthy screen-time choices.+ Show more

Learning Objectives

• Explain how labels are used in diagrams and documentation to identify parts of a system or model
• Distinguish between labels and other features such as captions, annotations, and component names
• Apply correct terminology when describing features of labeled representations

Learning Objectives

• Define the terms bug, error, debug, and correction in the context of algorithms.
• Identify common causes of algorithm errors, such as missing steps, repeated steps, or steps in the wrong order.
• Use debugging steps to improve an algorithm by making corrections based on evidence.

Learning Objectives

• Explain how instruction order can change an outcome in a procedure.
• Identify accurate vs. inaccurate instruction sequences for a simple task.
• Use clear step order to improve the accuracy of instructions.

Learning Objectives

• Identify what makes a sequence program fail when a step is missing or out of order
• Use the terms debug, error, missing, and fix correctly in explanations
• Explain how checking each step helps find and correct mistakes+ Show more

Learning Objectives

• Define private information and personal information using Grade 3 vocabulary
• Identify which details should stay protected online versus what can be shared publicly
• Explain how to choose secure online information choices

Learning Objectives

• Identify common flowchart shapes and explain how arrows show a process
• Use decision steps to describe choices in a simple algorithm
• Interpret simple diagrams that show directions or repeated actions using basic vocabulary

Learning Objectives

• Explain how flowcharts use shapes and arrows to show the steps of a process
• Identify the meanings of flowchart parts such as arrows and decision steps
• Read simple visual algorithms and predict what happens next+ Show more

Learning Objectives

• Explain how encryption and decryption protect digital information.
• Identify key roles in secure communication, including keys and secure channels.
• Evaluate scenarios to decide whether a message is protected in transit or at rest.

Learning Objectives

• Define key search terms such as keyword, query, and result.
• Use more focused keywords to improve search results.
• Explain how a search engine uses a query to return results.+ Show more

Learning Objectives

• Identify common warning signs in suspicious emails, texts, and pop-ups
• Explain how urgent language and unfamiliar links signal potential danger
• Recognize requests for passwords and other private information as warning signs+ Show more

Learning Objectives

• Identify the goal and intended audience of a digital project
• Explain how audience needs influence digital product features
• Organize project tasks in a sensible sequence+ Show more

Learning Objectives

• Identify common forms of cyberbullying in digital spaces
• Explain how bystanders can support people experiencing online harassment
• Describe safe ways to block and report harmful accounts+ Show more

Learning Objectives

• Explain how testing checks whether digital project features work correctly
• Identify bugs and usability problems in digital projects
• Evaluate feedback about confusing features and missing information+ Show more

Learning Objectives

• Define a user interface and identify its common elements.
• Explain how clear labels and organized layouts improve usability.
• Compare interface designs and identify effective navigation features.+ 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

• Define iteration as a repeated cycle of testing and improvement
• Identify usability problems revealed by testing and user feedback
• Compare original and revised project versions using test evidence+ 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

• Identify key parts of graphs and charts, including categories and axes
• Compare data shown in bar graphs, line graphs, and pictographs
• Interpret information to answer questions using evidence from visual displays+ Show more

Learning Objectives

• Explain how bias can enter AI systems through unbalanced or incomplete training data
• Evaluate common fairness concerns and describe practical ways to reduce unequal outcomes
• Use fairness vocabulary (e.g., bias, data, testing, evaluation) to justify design choices

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

• Explain how variables store information that a program can use and update while it runs.
• Match common data types (integers, strings, booleans, lists) to suitable kinds of values.
• Predict whether a statement is correct based on data type rules.

Learning Objectives

• Explain what Big-O notation describes about how runtime or space grows as input size increases.
• Compare algorithms by identifying which has the better (slower-growing) time complexity.
• Justify answers using growth-rate reasoning instead of focusing on constant factors.

Learning Objectives

• Explain key cyber law and ethical responsibilities related to privacy and data handling.
• Identify appropriate and responsible actions when facing unauthorized access or misuse.
• Describe how intellectual property rules apply to copying and sharing digital content.

Learning Objectives

• Use precise step words to write code directions in a correct sequence.
• Identify how unclear instructions can cause mistakes in a computer program.
• Match coding terms to their meanings and use them in explanations.

Learning Objectives

• Explain how trees represent hierarchical relationships and how graphs represent network connections
• Use traversal ideas to describe how nodes can be visited in a tree or graph
• Determine path relationships and interpret common graph terms such as vertices, edges, and degree+ Show more

Learning Objectives

• Explain how labels communicate meaning in user interfaces and data representations.
• Identify common features of labeled interfaces, including readability, consistency, and clarity.
• Evaluate statements about labels and their role in usability and data understanding.

Learning Objectives

• Explain key AI ethics concepts: fairness, transparency, privacy, and accountability.
• Apply model evaluation ideas to decide whether an AI system is trustworthy across different groups and situations.
• Identify common sources of bias and unintended harmful outputs, and propose responsible evaluation steps.

Learning Objectives

• Explain how normalization reduces redundancy and improves update behavior in relational tables.
• Identify integrity problems caused by poor table design (insertion, update, and deletion anomalies).
• Apply rules of data integrity to keep records accurate, complete, and consistent over time.