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arXiv cs.AI
6/10

Curriculum-Gap Finder for Teachers

A dashboard for math teachers that scans a unit's problem sets and flags which problems are missing critical setup information — so the teacher can decide whether to add scaffolding or rewrite the question.

Target user

Middle and high school math teachers reviewing or assigning problem sets

Features
  • Bulk-uploads a chapter's word problems and reports a 'missing-fact rate' per topic
  • Categorizes missing facts by type (rate, conversion, assumption) for targeted reteaching
  • Compares textbook editions to flag which problems are cleanest for assessments
  • Exports a 'student-ready' version of each problem with the missing fact rewritten in
Why now

MIRA-Math's framework gives teachers the first practical tool to measure how well-specified their own assignments actually are — something no textbook publisher currently provides.

Signals · overall 6/10
Demand
4/10

Roundup articles for AI math teacher tools exist (Mathway, Wolfram, problem generators) but no search evidence of teachers specifically seeking problem-spec/ambiguity auditing — this is a feature, not a top-of-funnel pain point.AI Tools for Math Teachers: Problems, Assessment, and ExplanationAI Tools for Math Teachers: A Subject-Specific Guide

Whitespace
7/10

MIRA-Math exists only as an academic benchmark (2,310 instances, 22 domains) with no commercial product; no competitor found that audits problem-set well-specifiedness — solvers/generators dominate the space.MIRA-Math: A Benchmark for Minimal Information Requesting and Mathematical ReasoningMIRA-Math abstract

Monetization
4/10

Edtech consistently splits buyers between low-budget individual teachers and slow district procurement; tiered subscriptions work (Khan Academy model) but selling a single diagnostic feature is a hard sell without classroom outcomes data.Edtech pricing and monetization strategies: From Idea to ProfitHow to Set EdTech Pricing That Maximizes ROI?

Longevity
6/10

Curriculum standards are durable and textbook problems persist for decades, but LLM-based auditing can be replicated by any well-funded rival (OpenAI, Khan Academy, textbook publishers) within 1-2 years.EdTech Pricing Models: Monetizing Education Technology Effectively

Feasibility
7/10

MIRA-Math's published 2,310-instance dataset and diagnostic methodology give a concrete technical blueprint; wrapping an LLM API around it for teacher upload is straightforward, though prompt-design for diverse problem formats is real work.MIRA-Math: A Benchmark for Minimal Information Requesting and Mathematical Reasoning

MIRA-Math: A Benchmark for Minimal Information Requesting and Mathematical ReasoningarXiv cs.AI · 2026-07-09 (15d ago)