PHYSICS-04 · 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 | Fluids, Heat and Thermodynamics
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Sign in to save this learning pathPractical outcome: Predict pressure changes in a model water tank.
Explain density using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Explain pressure using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Explain hydrostatic pressure using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Explain pascal's principle using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Use the first concepts from this section. Predict pressure changes in a model water tank. 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 buoyancy using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Explain continuity equation using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Explain bernoulli's equation using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Explain viscosity using a visual and one worked real-world example. Context: Predict pressure changes in a model water tank. End with a prediction or check-for-understanding.
Predict pressure changes in a model water tank. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Density, Pressure, Hydrostatic pressure and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Compare cooling curves using supplied temperature data.
Explain temperature versus heat using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Explain thermal expansion using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Explain specific heat capacity using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Explain latent heat using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare cooling curves using supplied temperature data. 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 conduction using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Explain convection using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Explain radiation using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Explain ideal gas law using a visual and one worked real-world example. Context: Compare cooling curves using supplied temperature data. End with a prediction or check-for-understanding.
Compare cooling curves using supplied temperature data. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Temperature versus heat, Thermal expansion, Specific heat capacity and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Create an energy-flow diagram for a refrigerator.
Explain internal energy using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain work by a gas using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain first law using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain isothermal processes using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain adiabatic processes using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Use the first concepts from this section. Create an energy-flow diagram for a refrigerator. 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 second law using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain entropy qualitatively using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain heat engines using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain carnot limit using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Explain coefficient of performance using a visual and one worked real-world example. Context: Create an energy-flow diagram for a refrigerator. End with a prediction or check-for-understanding.
Create an energy-flow diagram for a refrigerator. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Internal energy, Work by a gas, First law and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Create an energy-flow diagram for a refrigerator. 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 Fluids, Heat and Thermodynamics, 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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