CHEMISTRY-04 · Secondary · ENGLISH · PLANNED
Connect visible observations, particle models and chemical notation.
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 Chemistry | Energy, Rates and Equilibrium
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Sign in to save this learning pathPractical outcome: Compare the energy accounting in reusable heat-pack models.
Explain exothermic changes using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Explain endothermic changes using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Explain enthalpy using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Explain calorimetry using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare the energy accounting in reusable heat-pack models. 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 bond enthalpies using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Explain hess's law using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Explain entropy intuition using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Explain gibbs energy intuition using a visual and one worked real-world example. Context: Compare the energy accounting in reusable heat-pack models. End with a prediction or check-for-understanding.
Compare the energy accounting in reusable heat-pack models. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Exothermic changes, Endothermic changes, Enthalpy and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Analyse concentration-time data and identify a rate trend.
Explain measuring rate using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Explain collision model using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Explain activation energy using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Explain temperature effects using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Use the first concepts from this section. Analyse concentration-time data and identify a rate trend. 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 concentration effects using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Explain surface area effects using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Explain catalysts using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Explain rate laws using a visual and one worked real-world example. Context: Analyse concentration-time data and identify a rate trend. End with a prediction or check-for-understanding.
Analyse concentration-time data and identify a rate trend. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Measuring rate, Collision model, Activation energy and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Predict changes in a simulated reversible process.
Explain dynamic equilibrium using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Explain equilibrium constant using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Explain reaction quotient using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Explain le chatelier's principle using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Use the first concepts from this section. Predict changes in a simulated reversible process. 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 concentration shifts using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Explain pressure shifts using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Explain temperature shifts using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Explain equilibrium calculations using a visual and one worked real-world example. Context: Predict changes in a simulated reversible process. End with a prediction or check-for-understanding.
Predict changes in a simulated reversible process. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Dynamic equilibrium, Equilibrium constant, Reaction quotient and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Predict changes in a simulated reversible process. 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 Energy, Rates and Equilibrium, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Molecular models, reaction accounting and supplied laboratory data. 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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