TECHNOLOGY-01 · Foundation · ENGLISH · PLANNED
Follow a real task through a system, then design and troubleshoot it.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Technology | Technology and Digital Foundations
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Sign in to save this learning pathPractical outcome: Draw the input process and output of a familiar device.
Explain what technology does using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Explain inputs using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Explain processing using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Explain outputs using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Use the first concepts from this section. Draw the input process and output of a familiar device. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain feedback using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Explain hardware using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Explain software using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Explain people in a system using a visual and one worked real-world example. Context: Draw the input process and output of a familiar device. End with a prediction or check-for-understanding.
Draw the input process and output of a familiar device. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering What technology does, Inputs, Processing and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Organise a fictional school project into a clear folder structure.
Explain files using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Explain folders using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Explain file types using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Explain applications using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Use the first concepts from this section. Organise a fictional school project into a clear folder structure. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain saving versus exporting using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Explain local versus remote storage using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Explain search using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Explain backups using a visual and one worked real-world example. Context: Organise a fictional school project into a clear folder structure. End with a prediction or check-for-understanding.
Organise a fictional school project into a clear folder structure. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Files, Folders, File types and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Evaluate a fictional message and protect a sample account.
Explain personal information using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Explain strong passphrases using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Explain multifactor authentication using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Explain permission prompts using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Use the first concepts from this section. Evaluate a fictional message and protect a sample account. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain suspicious links using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Explain source credibility using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Explain accessibility basics using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Explain digital wellbeing using a visual and one worked real-world example. Context: Evaluate a fictional message and protect a sample account. End with a prediction or check-for-understanding.
Evaluate a fictional message and protect a sample account. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Personal information, Strong passphrases, Multifactor authentication and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Evaluate a fictional message and protect a sample account. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Technology and Digital Foundations, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
System diagrams, design reviews and bounded prototypes. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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