SkillsLib.ai

Adaptive Math & Science Tutoring Engine

Diagnose math/science misconceptions and generate adaptive problem sets

3.9(29 reviews)
100+ downloads
Updated Sep 2026
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What You Can Do

This skill enables you to diagnose the root causes of student misconceptions—not just flag wrong answers—then generate targeted problem sets that precisely match each student's zone of proximal development. You can create adaptive learning pathways that systematically build competency by scaffolding backwards to foundational gaps, then forward to mastery, with real-time adjustment based on student responses.

Features

Diagnostic Assessment

Identifies root misconceptions vs. careless errors through targeted questioning and analysis

Adaptive Problem Generation

Creates 20+ contextualized practice problems matched to student proficiency level and learning gaps

Scaffolding Framework

Builds learning pathways backwards from gaps to foundations, then forward to mastery

Misconception Remediation

Targets specific conceptual, procedural, or computational errors with precision interventions

Mastery Tracking

Monitors progress across multiple students with consistent diagnostic criteria and competency markers

Multi-Level Instruction

Generates differentiated materials for mixed-ability classrooms without manual customization

Concept-to-Problem Mapping

Links specific learning objectives to auto-generated problem sets with clear difficulty progression

Example Output

Example 1: Algebra Misconception Diagnosis

  • Student answer: "If 2x + 5 = 15, then x = 10 (added 5 instead of subtracting)"
  • Diagnosis: Confusing inverse operations with direct calculation
  • Generated remediation: 5 foundational problems on inverse operations, 8 two-step equations with step-by-step scaffolding, 7 mixed problems at mastery level

Example 2: Physics Concept Gap

  • Student struggles: "I don't know when to use velocity vs. acceleration in motion problems"
  • Diagnostic pathway: 3 conceptual probe questions → root cause identified (mixing rate of change concepts)
  • Adaptive set: 6 velocity-only problems → 5 acceleration-only problems → 8 problems requiring discrimination between both → 3 real-world applications

Example 3: Progress Report

  • Tracked 12 students across quadratic equations
  • Generated 3 different problem sets (basic, intermediate, advanced) with 15 problems each in 5 minutes
  • Each set targets identified misconceptions from diagnostic assessments

What's Included

  • SKILL.md instruction file with diagnostic framework and problem-generation protocols:
  • Diagnostic Assessment Template: structured misconception identification rubric
  • Problem Generation Checklist: scaffolding progression from foundational to mastery
  • Student Progress Tracker: competency matrix and misconception log across multiple learners
  • Concept-to-Problem Map: links learning objectives to adaptive problem types and difficulty levels

Who It's For

  • Math and science teachers seeking personalized intervention pathways for struggling students
  • Tutors managing multiple students with diverse learning gaps and proficiency levels
  • Special education educators diagnosing specific misconceptions and building targeted remediation plans
  • Homeschool parents customizing instruction to individual child learning patterns and pace
  • Education coordinators creating differentiated practice sets for mixed-ability classrooms

Best For

  • Identifying root causes of persistent math/science misconceptions beyond surface-level errors
  • Generating personalized problem sets that adapt to student mastery progression
  • Creating multi-level scaffolded learning pathways from foundational concepts to advanced application
  • Tracking and documenting misconceptions across multiple students with consistent diagnostic frameworks
  • Rapidly producing 20+ contextualized practice problems matched to specific learning gaps

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