Grade 9 Computer Science Worksheets

Learning Objectives

• Explain why digital products must be tested before sharing.
• Identify methods of collecting and recording user feedback.
• Analyse test results to recognise errors and improvements.+ Show more

Learning Objectives

• Define a user interface and identify its main components
• Explain how layout and navigation support user interaction
• Distinguish between buttons and navigation in digital products+ Show more

Learning Objectives

• Define variables, values, data types, and assignment in programming.
• Distinguish integers, strings, booleans, and lists.
• Explain how assignment updates variable values during program execution.+ Show more

Learning Objectives

• Define iteration in digital product development.
• Identify problems revealed through testing and feedback.
• Explain how different product versions demonstrate development progress.+ Show more

Learning Objectives

• Identify the essential qualities of a polished digital product
• Explain how layout and navigation improve the user experience
• Evaluate how digital features support a product's purpose+ Show more

Learning Objectives

• Explain the purpose of documenting digital project development
• Identify essential information to include in project documentation
• Evaluate digital projects by identifying strengths and weaknesses+ Show more

Learning Objectives

• Define essential password security and authentication vocabulary.
• Identify characteristics of strong passwords and secure sign-in practices.
• Explain how password reuse can expose multiple accounts.+ Show more

Learning Objectives

• Explain how encryption transforms plaintext into ciphertext.
• Differentiate between encryption and decryption using key terminology.
• Describe how encryption keys support secure communication.+ Show more

Learning Objectives

• Identify common online threats and their potential effects.
• Recognize suspicious URLs, links, and phishing messages.
• Explain how software updates improve device security.+ Show more

Learning Objectives

• Define phishing, social engineering, deception, and online scams
• Identify warning signs in suspicious emails, messages, and links
• Explain how urgency and impersonation manipulate online users+ Show more

Learning Objectives

• Define malware and distinguish between viruses, spyware and ransomware
• Identify potentially unsafe files, downloads, links and email attachments
• Explain how software updates address device security weaknesses+ Show more

Learning Objectives

• Identify suspicious website addresses and potentially unsafe links.
• Explain the purpose and limitations of HTTPS encryption.
• Describe how software updates reduce known security weaknesses.+ Show more

Learning Objectives

• Define authentication, verification, factor, and digital account security.
• Distinguish single-factor authentication from multi-factor authentication.
• Identify knowledge, possession, and biometric authentication factors.+ Show more

Learning Objectives

• Identify the purpose and key stages of digital project planning
• Distinguish project goals from target audiences and requirements
• Explain how requirements describe a digital product's functions+ Show more

Learning Objectives

• Define key terms related to digital collaboration and shared files
• Differentiate real-time collaboration from asynchronous collaboration
• Explain how comments and version history support document revision+ Show more

Learning Objectives

• Define cyberbullying, harassment, well-being, and bystander using accurate examples.
• Identify harmful online behaviours, including exclusion, impersonation, and repeated insults.
• Select safe bystander responses, including reporting, blocking, and seeking trusted adult support.+ Show more

Learning Objectives

• Define bandwidth, latency, congestion, throughput, packets, and routers.
• Distinguish bandwidth from latency using appropriate measurement units.
• Explain how network congestion and routing affect communication delays.+ Show more

Learning Objectives

• Define digital identity, online reputation, online presence, and audience.
• Explain how posts, photographs, comments, and search results shape digital identity.
• Analyze how different audiences may interpret the same online content.+ Show more

Learning Objectives

• Identify the purposes of bar graphs, line graphs, scatter plots, and circle graphs
• Select visualizations suited to categorical data, time trends, relationships, and proportions
• Interpret comparisons, patterns, trends, and proportions in graphs and charts+ Show more

Learning Objectives

• Define credibility, evidence, bias, purpose, source, and verification.
• Identify indicators of trustworthy and unreliable online information.
• Compare online claims using evidence from independent sources.+ Show more

Learning Objectives

• Define copyright, fair use, attribution, and intellectual property using examples.
• Distinguish copyrighted work from licensed and public domain material.
• Evaluate digital content reuse by checking permissions and license conditions.+ Show more

Learning Objectives

• Explain how social media posts and comments affect other people
• Identify reliable methods for checking online information before sharing
• Describe how audience, consent, and privacy influence online communication+ Show more

Learning Objectives

• Identify rows, columns, cells, and headings in a spreadsheet.
• Explain how sorting differs from filtering spreadsheet records.
• Interpret class survey tables using appropriate spreadsheet operations.+ Show more

Learning Objectives

• Define cloud computing, remote servers, storage, and shared folders accurately
• Explain how remote servers provide access to online files and applications
• Compare synchronization, online storage, backups, and shared-folder permissions+ Show more

Learning Objectives

• Define a computer network and explain its main purpose.
• Identify routers, switches, cables and wireless connections.
• Compare local networks with internet connectivity.+ Show more

Learning Objectives

• Distinguish trends over time from relationships between two variables
• Identify positive, negative, and zero linear correlation patterns
• Interpret graphs and scatter plots to describe data relationships+ Show more

Learning Objectives

• Define data ethics, privacy, consent, personal data, and sensitive information.
• Identify responsible methods for collecting, storing, and sharing digital information.
• Explain how informed consent and data minimization protect personal privacy.+ Show more

Learning Objectives

• Explain how consistent procedures improve data collection reliability
• Identify variables that influence surveys, experiments, and observations
• Distinguish reliable data from incomplete or inaccurate records+ Show more

Learning Objectives

• Calculate the arithmetic mean of a numerical data set
• Determine the median of odd- and even-sized data sets
• Compare mean and median values in the same data set+ Show more

Learning Objectives

• Explain how precise keywords improve the relevance of search results
• Identify the purposes of quotation marks, operators, and filters
• Compare broad and targeted queries to predict search outcomes+ Show more

Learning Objectives

• Define protocols, packets, and data transfer in computer networks
• Explain how protocols coordinate communication between networked devices
• Describe how routers forward packets across interconnected networks+ Show more

Learning Objectives

• Define privacy settings, data permissions, consent, and data sharing accurately.
• Explain how account settings influence access to personal information.
• Evaluate app permission requests against their intended purposes.+ Show more

Learning Objectives

• Define abstraction and explain how it simplifies complex systems.
• Identify essential information for a specific problem-solving task.
• Compare representations and explain how each supports a different purpose.+ Show more

Learning Objectives

• Define machine learning, training data, models, and patterns.
• Explain how learning algorithms use examples to make predictions.
• Analyze how data quality and variety affect model accuracy.+ 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

• Define recommendation systems and describe their purpose on digital platforms
• Identify data types used to generate personalized content suggestions
• Explain how algorithms use observed behavior to estimate user interests+ 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

• 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 an algorithm and explain the purpose of pseudocode
• Identify logical sequences in everyday procedures and computational problems
• Construct pseudocode using ordered steps, input, and output+ Show more

Learning Objectives

• Identify standard flowchart symbols and explain their purposes.
• Explain how conditions determine the branches followed in a flowchart.
• Trace flowcharts to predict outputs for different inputs.+ 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

• Define efficiency, optimization, resource, and performance in algorithms.
• Compare algorithms using operation counts and resource requirements.
• Explain how linear search differs from binary search.+ 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 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

• Describe what a deepfake is in one sentence and name two ways it is used against young people
• Apply the Six Tells checklist to an image or clip and give a reasoned judgement, not a guess
• Explain why "it isn’t real" does not mean "it isn’t harmful"+ Show more

Learning Objectives

• Decide whether a statement describes something only real, only AI-made, or both
• Apply the Six Tells checklist to an image or clip and give a reason
• Name the right next step when a message or image feels wrong

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 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.