BIOLOGY-14 · Research · ENGLISH · PLANNED
Zoom from organism to mechanism, then evaluate the biological evidence.
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Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Biology | Advanced Biology and Research Practice
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Sign in to save this learning pathPractical outcome: Write a bounded study protocol using existing non-sensitive data.
Explain research hypotheses using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Explain controls and blinding using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Explain sampling strategy using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Explain preregistration using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Use the first concepts from this section. Write a bounded study protocol using existing non-sensitive 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 data management using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Explain research ethics using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Explain animal welfare principles using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Explain reproducibility using a visual and one worked real-world example. Context: Write a bounded study protocol using existing non-sensitive data. End with a prediction or check-for-understanding.
Write a bounded study protocol using existing non-sensitive data. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Research hypotheses, Controls and blinding, Sampling strategy and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Compare two papers on one modern biological question.
Explain single-cell analysis using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Explain spatial biology using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Explain multi-omics integration using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Explain evolutionary developmental biology using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare two papers on one modern biological question. 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 theoretical ecology using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Explain origin-of-life chemistry using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Explain mechanistic versus predictive models using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Explain uncertainty in frontier claims using a visual and one worked real-world example. Context: Compare two papers on one modern biological question. End with a prediction or check-for-understanding.
Compare two papers on one modern biological question. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Single-cell analysis, Spatial biology, Multi-omics integration and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Reproduce a public-data figure and prepare a critical research poster.
Explain reading methods critically using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Explain figure interpretation using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Explain metadata auditing using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Explain replication using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Use the first concepts from this section. Reproduce a public-data figure and prepare a critical research poster. 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 negative results using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Explain literature synthesis using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Explain peer review using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Explain open questions and next experiments using a visual and one worked real-world example. Context: Reproduce a public-data figure and prepare a critical research poster. End with a prediction or check-for-understanding.
Reproduce a public-data figure and prepare a critical research poster. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Reading methods critically, Figure interpretation, Metadata auditing and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Reproduce a public-data figure and prepare a critical research poster. 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 Advanced Biology and Research Practice, 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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