CHEMISTRY-01 · Foundation · 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 | Matter and Chemical Thinking
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Sign in to save this learning pathPractical outcome: Sort familiar materials using observable properties.
Explain what matter means using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Explain solids using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Explain liquids using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Explain gases using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Use the first concepts from this section. Sort familiar materials using observable properties. 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 changes of state using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Explain mass versus volume using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Explain physical properties using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Explain observations versus particle models using a visual and one worked real-world example. Context: Sort familiar materials using observable properties. End with a prediction or check-for-understanding.
Sort familiar materials using observable properties. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering What matter means, Solids, Liquids and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Draw particle models for air water and a mixed drink.
Explain particle model using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Explain atoms using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Explain elements using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Explain molecules using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Use the first concepts from this section. Draw particle models for air water and a mixed drink. 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 compounds using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Explain mixtures using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Explain pure substances using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Explain symbols and simple formulas using a visual and one worked real-world example. Context: Draw particle models for air water and a mixed drink. End with a prediction or check-for-understanding.
Draw particle models for air water and a mixed drink. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Particle model, Atoms, Elements and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Use supplied before-and-after observations to classify changes.
Explain physical changes using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Explain chemical changes using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Explain conservation of mass using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Explain evidence of a reaction using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Use the first concepts from this section. Use supplied before-and-after observations to classify changes. 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 dissolving using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Explain filtration using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Explain evaporation using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Explain safe observations and hazard labels using a visual and one worked real-world example. Context: Use supplied before-and-after observations to classify changes. End with a prediction or check-for-understanding.
Use supplied before-and-after observations to classify changes. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Physical changes, Chemical changes, Conservation of mass and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Use supplied before-and-after observations to classify changes. 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 Matter and Chemical Thinking, 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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