DISCOVERY-03 · Foundation · ENGLISH · PLANNED
Open with a question, reveal the mechanism, distinguish evidence from speculation.
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.
No subject prerequisites. Start here; reading support from a trusted adult may help younger learners.
YouTube playlist: ARK Curiosity Lab | Going to Mars: A Mission Design Journey
Playlist title reserved in the plan; no YouTube playlist or upload has been created yet.
Sign in to save this learning pathPractical outcome: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer.
Explain why mars is difficult to reach using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Explain orbits are continuous falling using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Explain launch windows using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Use the first concepts from this section. Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. 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 transfer paths using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Explain travel-time tradeoffs using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Explain communication delay using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Explain mission stages using a visual and one worked real-world example. Context: Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. End with a prediction or check-for-understanding.
Draw an Earth-to-Mars transfer with a clearly labelled scale disclaimer. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Why Mars is difficult to reach, Orbits are continuous falling, Launch windows and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Allocate a fictional mission's mass budget using supplied data.
Explain mars atmosphere using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Explain landing challenges using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Explain power supply using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Explain water needs using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Use the first concepts from this section. Allocate a fictional mission's mass budget using 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 life-support loops using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Explain radiation challenges using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Explain dust and equipment using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Explain robotic exploration using a visual and one worked real-world example. Context: Allocate a fictional mission's mass budget using supplied data. End with a prediction or check-for-understanding.
Allocate a fictional mission's mass budget using supplied data. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Mars atmosphere, Landing challenges, Power supply and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Compare robotic and crewed mission proposals using constraints and evidence.
Explain scientific objectives using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Explain payload priorities using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Explain redundancy using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Explain planetary protection using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Use the first concepts from this section. Compare robotic and crewed mission proposals using constraints and evidence. 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 returning samples conceptually using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Explain mission cost uncertainty using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Explain confirmed results versus proposals using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Explain designing a mission tradeoff table using a visual and one worked real-world example. Context: Compare robotic and crewed mission proposals using constraints and evidence. End with a prediction or check-for-understanding.
Compare robotic and crewed mission proposals using constraints and evidence. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Scientific objectives, Payload priorities, Redundancy and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Compare robotic and crewed mission proposals using constraints and evidence. 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 Going to Mars: A Mission Design Journey, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Visual explanations, evidence checks and mission tradeoffs. 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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