PHYSICS-02 · Secondary · ENGLISH · PLANNED
Predict, observe a demonstration, draw a model, then test its limits.
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 Physics | Measurement, Vectors and Motion
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Sign in to save this learning pathPractical outcome: Report a pendulum timing with a justified uncertainty.
Explain si base units using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Explain derived units using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Explain scientific notation using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Explain significant figures using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Use the first concepts from this section. Report a pendulum timing with a justified uncertainty. 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 random errors using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Explain systematic errors using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Explain uncertainty propagation using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Explain dimensional analysis using a visual and one worked real-world example. Context: Report a pendulum timing with a justified uncertainty. End with a prediction or check-for-understanding.
Report a pendulum timing with a justified uncertainty. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering SI base units, Derived units, Scientific notation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Reconstruct a bicycle journey from position and velocity graphs.
Explain displacement versus distance using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Explain average velocity using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Explain instantaneous velocity using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Explain acceleration using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Use the first concepts from this section. Reconstruct a bicycle journey from position and velocity graphs. 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 position-time slopes using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Explain velocity-time areas using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Explain constant-acceleration equations using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Explain free-fall model using a visual and one worked real-world example. Context: Reconstruct a bicycle journey from position and velocity graphs. End with a prediction or check-for-understanding.
Reconstruct a bicycle journey from position and velocity graphs. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Displacement versus distance, Average velocity, Instantaneous velocity and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Predict a simulated ball's landing location.
Explain vector components using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Explain vector addition using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Explain unit vectors using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Explain relative velocity using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Use the first concepts from this section. Predict a simulated ball's landing location. 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 projectile horizontal motion using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Explain projectile vertical motion using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Explain circular motion using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Explain centripetal acceleration using a visual and one worked real-world example. Context: Predict a simulated ball's landing location. End with a prediction or check-for-understanding.
Predict a simulated ball's landing location. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Vector components, Vector addition, Unit vectors and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Predict a simulated ball's landing location. 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 Measurement, Vectors and Motion, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Diagrams, virtual experiments, data analysis and simulations. 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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