Traditionally, the focus in math education has been on
"how do we teach?" At MIND Education, we believe a better question is "how do we LEARN?"
Preparing students to become innovative problem-solvers for the immeasurable, non-routine challenges of the modern world.
Our approach aligns with brain-based learning principles, fostering deep understanding and critical thinking. By moving beyond traditional methods of math education, we create inclusive, engaging learning environments that ensure students become innovative problem-solvers, making math a joyful experience, and significantly improving learning outcomes.
Anchored in Four Essential Principles
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BUILT USING NEUROSCIENCE: HOW THE BRAIN LEARNS
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INCLUSIVE & EFFECTIVE LEARNING ENVIRONMENTS
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EMPOWERED TEACHING & LEARNING |
JOY IN MATHEMATICS |
Over 25+ years of neuroscience research reveal how the brain learns best, emphasizing deep, active learning. Our approach ensures students learn by doing, fostering creativity and critical thinking. This active engagement prevents the passive learning trap of merely seeking the right answers, equipping students with the skills needed to tackle real-world problems.
Our programs are designed to break down language and learning barriers and make math accessible to all students. By engaging with math through games and visual instructional learning, students build conceptual understanding and recognize patterns, fostering an inclusive environment where every learner can thrive.
At MIND, we perform fundamental and applied research in neuroscience, mathematics and education. We’re focused on understanding how the brain learns—particularly research in cognitive and computational neuroscience, mathematics concepts in the neurophysiological and modeling research, and the analysis and data mining of ST Math program use data. Learn More About Our Methodology »
We’ve collaborated with researchers from more than 13 universities, including University of Pittsburgh, Johns Hopkins University, Medical University of South Carolina, East China Normal University, University of Montreal, University of Victoria, UCLA and University of California, Irvine.
Our approach empowers educators to transform their classrooms into dynamic spaces filled with discussion, perseverance, and problem solving. Our evidence-based components include productive struggle, creative reasoning, formative feedback, student engagement, and mathematical discourse. This approach supports teachers in easily creating an environment where students are actively involved in their learning and build deep conceptual understanding. And by leveraging machine learning, also known as AI, we continuously analyze the content to improve how well students learn.
Our impact research shows that when students use ST Math they increase in proficiency on state assessments. By engaging in math through game-based learning, students develop a positive relationship with mathematics, but also experience joy and success in learning. They play and engage deeply with concepts while simultaneously building perseverance and problem-solving skills, fostering a deeper understanding and a stronger connection to math.
This approach nurtures a generation of capable individuals who see themselves as "math people," ready to tackle the challenges of tomorrow with curiosity, creativity, and confidence.
We are committed to ensuring that the joy in learning remains at the heart of everything we do, inspiring a lifelong love for math.
For more on our real-world evidence, visit our ST Math Equity and Outcomes Page and read about our Research Validation and Methodology
