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Nano Physics · Mechanics · Kinematics (1D)

Constant Acceleration

Learn what it truly means for acceleration to be constant, how it shapes motion graphs, and how to solve 1D motion problems with confidence (final-year high school + first-year university).

Physics · Mechanics · Kinematics in 1D · Constant Acceleration
Access for this nano-lesson
Unsigned visitors can show & copy prompts for Steps 1–3. Signed-in free accounts can also Run with AI for Steps 1–2. Paid accounts unlock everything (Steps 1–6 + Help prompts + AI).
Steps 1–3 Free Steps 4–6 Paid
STEP 1
Orient / Definition: what does “constant acceleration” mean?
Free
Build a crisp definition, connect it to velocity change, and set sign conventions (positive direction) so later equations feel logical.
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Goal: define it so clearly you can explain it in one sentence.
STEP 2
Conceptual grounding: stories + graphs (v–t, a–t, x–t)
Free
Build intuition using everyday motion (car speeding up, free-fall, thrown up then down), and connect “constant a” to the shapes of graphs.
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Goal: know what each graph must look like before doing any math.
STEP 3
Real-world connection: when is acceleration “approximately constant”?
Free
Learn when the constant-acceleration model is valid (or not): free-fall near Earth, braking, ramps, air resistance, and “average acceleration” vs “instantaneous acceleration.”
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Goal: understand the model’s boundaries (and what assumptions you’re making).
STEP 4
Check your understanding: mini-quiz (answers hidden until you reveal)
Paid
Try each question first. Answers + feedback appear only when you click Reveal answer. This prevents accidental spoilers and builds real exam readiness.
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Goal: attempt first → then reveal and learn from your mistakes.
STEP 5
Practice: solve 1D constant-a problems step-by-step
Paid
Work through carefully chosen problems (speeding up, braking, free-fall, thrown upward), with sign conventions and equation choices explained.
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Goal: reliably translate words → diagram → equations → answer.
STEP 6
Summary & reflection + Exploration / “simulation” prompts
Paid
Consolidate the key takeaways, then explore “what if?” scenarios by changing parameters (u, a, t), predicting graph changes, and checking consistency.
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Goal: summarize + push your intuition using parameter tweaks and graph reasoning.