Carnegie Learning AI
Carnegie Learning / carnegielearning.com
AI-powered math tutoring platform for K-12 students that uses cognitive science research and machine learning to adapt instruction, identify misconceptions, and personalise the learning path for each student.
Pricing
Free
Free plan
No
Category
Education
Platforms
2
Rating
4.5 (5000)
Free plan
No
API access
No
Open source
No
Platforms
2
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What is Carnegie Learning AI?
Carnegie Learning is an education technology company built on decades of cognitive science research from Carnegie Mellon University, combining AI adaptive learning with research-validated instructional design for K-12 mathematics. Its MATHia platform is the flagship AI tutoring product.
MATHia provides individualised math instruction through an AI tutoring system that models each student's understanding of specific mathematical skills and concepts. Unlike adaptive systems that simply adjust difficulty based on right/wrong answers, MATHia uses a cognitive model — a detailed representation of the knowledge components required for each skill — to identify exactly where a student's understanding breaks down.
The hint system provides scaffolded assistance at multiple levels of specificity, guiding students toward understanding rather than just providing answers. The tutoring approach mirrors effective human tutoring practices, including prompting students to explain their reasoning.
Live Learning Lab (LLL) provides the curriculum materials and teacher-led instruction that complement MATHia's independent practice, creating a blended learning model where AI handles individualised skill practice while teachers focus on conceptual discussion and problem solving.
Carnegie Learning has published extensive research on MATHia's effectiveness, with randomised controlled trial evidence showing significant improvement in math achievement compared to traditional instruction. This research base distinguishes Carnegie Learning from edtech companies with weaker evidence bases.
How Carnegie Learning AI works
Carnegie Learning AI runs as ml platform software built around text and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and ipad.
What makes it worth shortlisting
The capabilities that matter most for teams evaluating Carnegie Learning AI.
MATHia cognitive tutoring
Models each student's understanding of specific knowledge components using cognitive science research from CMU, identifying exactly where understanding breaks down rather than only tracking right/wrong.
Hint system
Provides scaffolded assistance at multiple specificity levels, guiding students toward understanding through progressive disclosure rather than providing direct answers.
Knowledge state modelling
Maintains a detailed model of each student's mastery of specific mathematical skills, updating continuously based on student work to personalise instruction.
Best use cases
Who should use it
Pros
- Cognitive science foundation from Carnegie Mellon research produces more sophisticated student modelling than simpler adaptive tools
- Randomised controlled trial evidence of effectiveness distinguishes from edtech with weaker research bases
- Hint system scaffolds understanding rather than providing answers — pedagogically sound approach
- Decades of deployment data in K-12 math provides strong iterative improvement advantage
Cons
- School and district licensing only — not accessible for individual parent or student use
- Primarily focused on mathematics — limited to math content without broader curriculum coverage
- Effectiveness requires proper implementation with teacher professional development and programme fidelity
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Is it worth the price?
School and district licensing. No public individual pricing. Contact for district pricing.
Model
Enterprise
Starting price
Free
Free trial
No
Tools like Carnegie Learning AI
Khan Academy's Khanmigo (covered) provides AI tutoring across subjects at lower cost. IXL provides adaptive math practice as a direct competitor. DreamBox is an elementary math adaptive learning competitor. Desmos provides math tools within a broader educational approach.
Carnegie Learning AI vs MagicSchool AI
A side-by-side look at the closest alternative in this category.
Carnegie Learning AI
Carnegie Learning
MagicSchool AI
MagicSchool AI
School and district licensing. No public individual pricing. Contact for district pricing.
Free plan for individual teachers with access to 80+ tools. Individual Plus $3/month. School and District plans at custom pricing.
FERPA compliant. COPPA compliant. SOC 2 Type II. GDPR compliant. Student data privacy laws compliance. Enterprise district data handling agreements.
FERPA and COPPA compliant. Student data not used to train AI models. SOC 2 compliant. School plans include data processing agreements.
Student data processed under FERPA and applicable student data privacy laws. Carnegie Learning does not sell student data. Enterprise district data agreements available.
MagicSchool is FERPA and COPPA compliant, designed with student privacy in mind. Student data is not used to train AI models. Review school plan data handling agreements before district deployment.
- Cognitive science foundation from Carnegie Mellon research produces more sophisticated student modelling than simpler adaptive tools
- Randomised controlled trial evidence of effectiveness distinguishes from edtech with weaker research bases
- Hint system scaffolds understanding rather than providing answers — pedagogically sound approach
- Decades of deployment data in K-12 math provides strong iterative improvement advantage
- Specifically designed for teacher workflows with 80+ purpose-built tools
- Very affordable at $3/month for individual teachers
- FERPA and COPPA compliant for school use
- Lesson plan and differentiation tools address the highest-value teacher use cases
- School and district licensing only — not accessible for individual parent or student use
- Primarily focused on mathematics — limited to math content without broader curriculum coverage
- Effectiveness requires proper implementation with teacher professional development and programme fidelity
- Designed for K-12 education, less relevant outside that context
- Individual teacher free plan has usage limits
- School deployment requires district procurement process
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Carnegie Learning
Platforms
Web, iPad
Deployment
SaaS
Integrations
LMS integration (Canvas, Schoology), SIS integration, API
Team Collaboration
Yes
Launch Year
2017
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
FERPA compliant. COPPA compliant. SOC 2 Type II. GDPR compliant. Student data privacy laws compliance. Enterprise district data handling agreements.
Student data processed under FERPA and applicable student data privacy laws. Carnegie Learning does not sell student data. Enterprise district data agreements available.
What users are saying
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Common questions about Carnegie Learning AI
Editorial Verdict
Should you use Carnegie Learning AI?
Carnegie Learning is the most research-validated AI math tutoring platform for K-12 education, best suited for district-level deployments where evidence-based math intervention is the priority.
Last verified July 24, 2026.