CHEMISTRY-05 · 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 | Acids, Bases and Electrochemistry
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Sign in to save this learning pathPractical outcome: Interpret a water-quality pH dataset.
Explain arrhenius definitions using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Explain bronsted-lowry definitions using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Explain conjugate pairs using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Explain strong versus weak acids using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Use the first concepts from this section. Interpret a water-quality pH dataset. 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 ph scale using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Explain water ionisation using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Explain ka and pka using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Explain buffer action using a visual and one worked real-world example. Context: Interpret a water-quality pH dataset. End with a prediction or check-for-understanding.
Interpret a water-quality pH dataset. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Arrhenius definitions, Bronsted-Lowry definitions, Conjugate pairs and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Read a supplied titration curve and justify an endpoint.
Explain neutralisation using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Explain titration principle using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Explain equivalence versus endpoint using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Explain strong-acid titration using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Use the first concepts from this section. Read a supplied titration curve and justify an endpoint. 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 weak-acid titration using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Explain indicators using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Explain solubility product using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Explain precipitation predictions using a visual and one worked real-world example. Context: Read a supplied titration curve and justify an endpoint. End with a prediction or check-for-understanding.
Read a supplied titration curve and justify an endpoint. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Neutralisation, Titration principle, Equivalence versus endpoint and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Draw the charge and material flows in a model battery.
Explain oxidation states using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain oxidation and reduction using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain half-equations using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain balancing redox using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Use the first concepts from this section. Draw the charge and material flows in a model battery. 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 galvanic cells using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain electrode potentials using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain cell potential using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain electrolysis concepts using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Explain corrosion using a visual and one worked real-world example. Context: Draw the charge and material flows in a model battery. End with a prediction or check-for-understanding.
Draw the charge and material flows in a model battery. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Oxidation states, Oxidation and reduction, Half-equations and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Draw the charge and material flows in a model battery. 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 Acids, Bases and Electrochemistry, 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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