BIOLOGY-04 · Secondary · ENGLISH · PLANNED
Zoom from organism to mechanism, then evaluate the biological evidence.
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 Biology | Genetics and Inheritance
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Sign in to save this learning pathPractical outcome: Explain a fictional plant-breeding dataset with explicit probabilities.
Explain genes and alleles using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain genotype and phenotype using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain dominance using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain segregation using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Use the first concepts from this section. Explain a fictional plant-breeding dataset with explicit probabilities. 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 punnett squares using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain independent assortment using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain incomplete dominance using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain codominance using a visual and one worked real-world example. Context: Explain a fictional plant-breeding dataset with explicit probabilities. End with a prediction or check-for-understanding.
Explain a fictional plant-breeding dataset with explicit probabilities. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Genes and alleles, Genotype and phenotype, Dominance and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Identify why a simple single-gene model fails in supplied data.
Explain sex-linked inheritance using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Explain pedigrees using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Explain linkage using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Explain recombination using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Use the first concepts from this section. Identify why a simple single-gene model fails in supplied 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 polygenic traits using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Explain environmental effects using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Explain penetrance using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Explain epigenetic regulation introduction using a visual and one worked real-world example. Context: Identify why a simple single-gene model fails in supplied data. End with a prediction or check-for-understanding.
Identify why a simple single-gene model fails in supplied data. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Sex-linked inheritance, Pedigrees, Linkage and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Trace the effect of a harmless fictional sequence change.
Explain dna structure using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Explain base pairing using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Explain rna using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Explain transcription overview using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Use the first concepts from this section. Trace the effect of a harmless fictional sequence change. 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 translation overview using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Explain genetic code using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Explain mutation types using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Explain mutation versus adaptation using a visual and one worked real-world example. Context: Trace the effect of a harmless fictional sequence change. End with a prediction or check-for-understanding.
Trace the effect of a harmless fictional sequence change. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering DNA structure, Base pairing, RNA and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Trace the effect of a harmless fictional sequence change. 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 Genetics and Inheritance, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Annotated systems, sequence analysis and observational investigations. 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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