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AI Learning Target Generator for Math

Math learning targets fail when they describe only the procedure without naming the conceptual understanding the procedure serves. 'I can solve quadratic equations' is a procedure target. 'I can solve quadratic equations by factoring and explain why factoring works as a solution strategy' is a conceptual-procedural target that tells students what genuine mathematical understanding looks like. The AI Learning Target Generator creates math learning targets that name both the procedure and the underlying concept, calibrated to the CCSS domain and grade level you specify, with success criteria that distinguish procedural fluency from conceptual understanding.

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Seconds

Math target from any CCSS standard

K-12

Full CCSS Math domain coverage

Both

Procedural and conceptual criteria

How Math teachers Use It

Real classroom workflows, not generic examples.

Ms. Chen's 7th-grade proportional reasoning target

Ms. Chen is introducing proportional relationships (CCSS 7.RP.A.2) to her 7th graders. The AI generates: 'I can identify if two quantities are proportional by checking if their ratio stays constant, whether I see the relationship as a table, graph, or equation.' Four success criteria: '(1) I can find the unit rate from a table, graph, or equation. (2) I can explain what the unit rate means in the situation. (3) I can determine whether a relationship is proportional by checking if the ratio is constant. (4) I can explain why a graph of a proportional relationship must pass through the origin.' Students use these as a self-check before the end-of-class problem set.

Mr. Patel's 9th-grade algebra target for systems of equations

Mr. Patel teaches 9th-grade Algebra I. He enters CCSS A-REI.C.6 and selects grade 9. The AI generates: 'I can solve a system of linear equations by substitution or elimination and explain which method is more efficient for a given problem.' Success criteria: '(1) I can use substitution to solve a system when one equation is already solved for a variable. (2) I can use elimination to solve a system by multiplying to create opposite coefficients. (3) I can verify my solution by checking it in both original equations. (4) I can explain which method I would choose for a given system and why.' The criteria become the rubric for the systems problem set.

Ms. Kim's 5th-grade fractions target

Ms. Kim is teaching fraction multiplication (CCSS 5.NF.B.4) to her 5th graders. The AI generates a conceptual-procedural target: 'I can multiply fractions by drawing a model to show what multiplication means and by using the algorithm.' Three success criteria: '(1) I can use an area model or number line to show what multiplying two fractions means. (2) I can multiply fractions using the algorithm and simplify the result. (3) I can explain why the product is smaller than both factors when you multiply two fractions less than 1.' Her students reference these criteria during partner work and at the self-assessment check at the end of class.

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Math Learning Targets, Frequently Asked Questions

Common questions from math teachers about using the AI Learning Target Generator.

The AI generates both types. A procedural target describes what students can do: 'I can factor a quadratic expression using the grouping method.' A conceptual target describes what students understand: 'I can explain why factoring a quadratic expression reveals the x-intercepts of its graph.' The most powerful math targets combine both, and the AI generates combined targets by default. You can also request purely procedural targets (for fluency practice lessons) or purely conceptual targets (for understanding-building lessons) depending on the lesson's purpose.

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