Big ideas
- Quantitative Reasoning
- Modeling the Real World
- Mathematical Communication
Essential questions
- How can one problem be represented in different ways?
- What assumptions make a model useful?
- How do I explain my thinking clearly?
Intended outcomes
- English math terminology
- Non‑routine word problems
- Explain‑your‑thinking presentations
Success criteria
- ≥75% on end‑term problem set
- Use precise vocabulary (quotient, estimate, compare)
- 60‑90 s oral solution with steps and checks
Educational journey
- Entry: placement set identifies topic gaps and strengths.
- Unit A: number sense + bar models; daily reasoning prompts; micro‑presentations.
- Unit B: ratios/percent; multi‑step problems; reflection logs.
- Checkpoint: cumulative review; error‑pattern reteach; second presentation.
- Next: Cambridge checkpoint prep or transfer to science projects.
How we teach
Evidence‑based practices
- Worked examples → faded guidance
- Bar‑model and unitary strategies
- Polya’s four steps with reflection logs
- Spaced/interleaved practice
INTASC alignment
234568
INTASC connections (course‑specific)
- Std 4 – Content Knowledge: Conceptual models precede procedures; English math vocabulary taught with visuals and frames.
- Std 5 – Application of Content: Non‑routine word problems and real data sets; students model, solve and defend choices.
- Std 6 – Assessment: Error analysis on exit tickets; mastery checks drive flexible re‑teach groups.
- Std 2 – Learner Differences: Challenge problems and supports; manipulatives and diagrams for concrete‑to‑abstract progression.
- Std 3 – Learning Environments: Norms for math talk and productive struggle; boardwork expectations are explicit.
- Std 8 – Instructional Strategies: Think‑alouds, worked‑example fading and board presentations with critique protocols.
Schedule & fees
Sun • 16:30–18:00 • 90′
210.000₫/session (billed by sessions held)
5/12 • seats left 7
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