Welcome to "Sugar Bundle Regroup", a Grade 2 Regrouping within 1000 mission at the Challenger stretch problem level, staged in a bakery scenario. The mission opens with a hands-on prompt: "Trade sugar cubes to add 689 and 245. First, build 2 bundles of 10 sugar cubes (a stand-in for the hundreds in 245)." Students work with the numbers 689, 245, 2 and reach a final answer of 2 across 3 guided steps.
Behind the story, this lesson builds regrouping within 1000 understanding aligned to CCSS 2.NBT.B.7. The key strategy is: 689 + 245 = 934.
A common misconception this page surfaces is: Carrying twice in the same column. Each "10 ones → 1 ten" trade happens once per place per problem. Re-check before applying a second carry. The adaptive Socratic hints move from a small nudge to a fuller strategy, keeping the reasoning visible for students, parents, and teachers.
Grade 2 · Regrouping within 1000
Mission Progress
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Thinking Summary · 1
Mastered[object Object]
[Discovery] Trade sugar cubes to add 689 and 245. First, build 2 bundles of 10 sugar cubes (a stand-in for the hundreds in 245).
1
Active StepDistribute items equally among groups
Everything you need to know about the Socratic experience.
Trade sugar cubes to add 689 and 245. First, build 2 bundles of 10 sugar cubes (a stand-in for the hundreds in 245). Hint: 245 has 2 hundreds. We sketch them as 2 bundles of 10.
How many column regroups (carries or borrows) did this addition require? If you get stuck, the adaptive hint is: Required regroups: 2.
Challenger missions push beyond CCSS expectations with edge cases that surface deeper misconceptions. Within Grade 2 Regrouping within 1000, expect numbers in the corresponding range.
Carrying twice in the same column. Each "10 ones → 1 ten" trade happens once per place per problem. Re-check before applying a second carry.
Add/Subtract within 100 (Two-digit fluency is the substrate for three-digit regrouping.) Open /grade-2/addsubwithin100 to start that topic's missions.
C-P-A is the Singapore Math sequence proven to deepen number sense: first manipulate physical objects (Concrete), then draw pictures of them (Pictorial), and only then write equations (Abstract). Inquiry AI structures every mission as exactly these three steps — a manipulative, a picture/grid model, and finally the equation. Skipping straight to symbols is the #1 cause of math anxiety; the platform refuses to do it.
Pure discovery is inefficient — kids hit a wall and quit. Guided Discovery scaffolds the path: a careful sequence of questions, models, and adaptive hints leads the learner toward the insight without revealing it. Inquiry AI's hint system fires automatically after ~15s of hesitation or on the first mistake, escalating from a Socratic nudge to a worked example only when needed. Mistakes are diagnosed via "misconception keys" so the hint matches the actual wrong-thinking pattern.
