CCSS.Math.Content.4.OA.C
Standard Cluster
Generate and analyze patterns.
Common Core State Standards for Mathematics
Cluster contents
Standards in This Cluster
CCSS.Math.Content.4.OA.C is a cluster heading. These are the individual standards under it.
Teacher's field guide
What This Cluster Means
What Students Need to Do
- Students use a given rule to build or extend number and shape patterns. They identify features not stated in the rule and explain why those features occur.
What Mastery Looks Like
- Students correctly generate several terms or figures from a given starting point and rule. They describe a feature, such as all odd numbers, and connect it to the rule.
Common Misconceptions
- Students may apply the rule to the starting number incorrectly or change the rule partway through. They may name a feature they notice but assume it will continue without checking the rule.
How to Assess It
- Give this exit ticket: “Start at 3 and add 4. Write the first six terms, describe one feature, and explain why it continues.”
Lesson moves
Ways to Teach It
Give pairs tiles to build five stages using the rule “add three tiles,” then record each stage and total in a table.
Ask students to explain in writing: “Why does starting at 2 and adding 5 produce alternating even and odd numbers?”
Play Rule Detective with cards showing six terms, and have teams name the rule, extend the pattern, and justify one feature.
Track savings that increase by $4 each week, then predict totals and explain what the pattern shows after ten weeks.
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Printable 4.OA.C Worksheet

A ready-to-print activity worksheet aligned to CCSS.Math.Content.4.OA.C, with an answer key for the teacher on its own page. No account needed.
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Related Standards
- CCSS.Math.Content.5.OA.B.3
Generate two numerical patterns using two given rules. Identify apparent relationships between corresponding terms. Form ordered pairs consisting of correspondi...
- CCSS.Math.Content.5.OA.B
Analyze patterns and relationships.
- CCSS.Math.Content.8.SP.A
Investigate patterns of association in bivariate data.
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