Our mission

We help students learn math by teaching it.

MELT-Math flips the classroom dynamic. Instead of being tutored by AI, students teach an AI learner — explaining, correcting, and reasoning out loud. The result is deeper understanding, durable confidence, and a love of mathematics.

Our vision

A world where every learner builds deep understanding and applies it beyond the classroom.

When students teach, they surface misconceptions, explain their reasoning, and refine their mental models. That process builds deep conceptual understanding, not just the ability to get the right answer.

And because understanding is built through explanation and reflection, students can transfer what they learn to authentic tasks, problem solving, and real-world contexts.

Research origins

Decades of learning science, distilled.

MELT-Math didn't start as a product. It started as a question in the learning sciences: why do people understand things more deeply once they have to teach them?

1968

The foundation

Research on learning-by-teaching shows that explaining ideas to others reorganizes a learner's own understanding.

1990s

The protégé effect

Studies confirm students invest more and learn more when responsible for a pupil's success — even a simulated one.

Today

MELT-Math

We pair that science with modern AI: a teachable agent students guide, correct, and learn alongside.

Meet the team

Educators, scientists, and builders

  • Portrait of Dr. Wanli Xing

    Dr. Wanli Xing

    CEO & Founder

    John S. and James L. Knight Foundation Chair in Artificial Intelligence at the University of Miami, Director of the Advanced Computing for Education Lab, and a nationally recognized leader in AI-powered learning. His research, supported by the NSF, IES, ONR, NIST, and Gates Foundation, spans more than 6,100 scholarly citations and over $30M in competitive federal funding.

  • Portrait of Dr. Zeyu Yan

    Dr. Zeyu Yan

    AI and Development Lead

    Ph.D. in Mechanical Engineering from The University of Texas at Austin, with more than 20 research publications spanning machine learning, large language models, and intelligent systems. He leads the engineering and AI infrastructure behind MELT-Math, turning cutting-edge research into scalable educational technology.

  • Portrait of Dr. Jihyun Rho

    Dr. Jihyun Rho

    Learning Sciences Lead

    Ph.D. in Learning Sciences and researcher specializing in AI in education, learning analytics, and visual learning. She leads the pedagogical design of MELT-Math, ensuring every AI interaction is grounded in evidence-based learning science and supports deep conceptual understanding.

  • Portrait of Dr. Lori Dassa

    Dr. Lori Dassa

    School Partnership Lead

    Associate Professor of Practice and educator with extensive experience in curriculum, teacher professional learning, and K–12 school partnerships. She leads MELT-Math's implementation strategy, helping research-backed AI translate into meaningful classroom practice at scale.

  • Portrait of Jiajun Chen

    Jiajun Chen

    UI/UX Lead

    Product designer and design manager with nearly a decade of experience crafting mobile, web, and desktop applications across human factors and user-centered design. He leads the product design of MELT-Math — from research and strategy to high-fidelity UI — ensuring the learning-by-teaching experience is intuitive, engaging, and accessible to every student.

Research & validation

Research-backed. Classroom-validated.

1.5

Effect size by research

Evaluated through three classroom design iterations with middle school learners.

533+

Student-AI interactions analyzed

Research identified engagement patterns associated with stronger mathematics learning.

3000+

Students researched

Grounded in four decades of learning-science research on how students learn by teaching.

Where we're headed

Three priorities driving what's next

Our roadmap is built on three strategic pillars — making MELT-Math more expressive, more trustworthy, and within reach of every classroom.

Multimodal

Multimodal learning

Teach with diagrams, visuals, speech, and mixed representations — so students can reason across subjects, not just text.

Responsible

Responsible AI

Privacy, safety, and transparency by design. We mitigate bias and keep humans at the center of every interaction.

Scalable

Affordable at scale

Efficient and low-cost by design, so any classroom can adopt learning-by-teaching — not just the well-resourced ones.

Join us in transforming mathematics learning

See how learning-by-teaching works in your classroom.