Welcome to "Crew Common Factor", a 6th Grade Gcflcm mission at the Seedling (entry-level) level, staged in our space exploration scenario. The mission opens with a hands-on prompt: "Sort each factor of 9 and 12 into A-only, both, or B-only zones. The largest "both" chip IS the GCF." You'll work with the numbers 9, 12 and arrive at a final answer of 36 across 3 guided steps.
Behind the space exploration story, this lesson is really about gcflcm aligned to CCSS 6.NS.B.4. Find the greatest common factor of two whole numbers ≤ 100 and the least common multiple of two whole numbers ≤ 12. The key strategy this mission asks you to internalise: Answer: 3.
A general pattern to watch for in 6th Grade gcflcm — illustrated with example numbers below, which may differ from this lesson's: Stopping the multiples list too early. Both numbers must hit the same value. Keep listing until they do. If you get stuck on "Crew Common Factor", the adaptive Socratic hints below escalate from a gentle nudge to a worked-out strategy — the same way a one-on-one tutor would coach you through it.
Grade 6 · Gcflcm
Mission Progress
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Thinking Summary · 1
Mastered[object Object]
[Discovery] Sort each factor of 9 and 12 into A-only, both, or B-only zones. The largest "both" chip IS the GCF.
1
Active StepPlace each factor into A=9, both, or B=12. Tap a chip to cycle.
Everything you need to know about the Socratic experience.
Sort each factor of 9 and 12 into A-only, both, or B-only zones. The largest "both" chip IS the GCF. Hint: Tap each chip to cycle: A → both → B. Common factors land in the middle.
Find LCM(9, 12). If you get stuck, the adaptive hint is: Answer: 36.
Seedling missions anchor the visual model with small, friendly numbers — ideal as the first attempt at this topic. Within 6th Grade Gcflcm, expect numbers in the corresponding range.
Picking primes-only when GCF = product of shared lowest powers. GCF includes ALL shared prime factors at their LOWEST exponent.
Unlikedenom (LCM is the LCD when adding fractions.). Open /grade-6/unlikedenom to start that topic's missions.
Inquiry-based learning starts with a question, not a formula — students explore, hypothesize, and verify before being told the rule. In Inquiry AI, every mission opens with a "Discovery" step (manipulate the model), then "Abstraction" (write the equation), then "Reflect" (apply to a new case). The procedure is never given upfront; learners derive it from their own observations.
Socratic teaching answers a question with a better question. Instead of "the answer is 12", the system asks "if you had 3 groups of 4, how could you skip-count?" The goal is to externalize the learner's reasoning so they hear themselves think. Every Inquiry AI hint follows this pattern: nudge → reframe → analogy → only then a worked example, in that order.
