The foundational human brain research and theory and models, as well as the deep conceptual learning design goals of the program, via its lowest cognitive load, its innovative visual models that follow rigorous math rules, its requirement for sense-making, and its mastery-to-progress are all applicable equally to girls and boys.

ST Math is intentionally designed to support marginalized and disadvantaged children, including English Language Learners, migrant and refugee students, and those from under-resourced communities. Its language-independent, visual approach to teaching math removes barriers related to reading proficiency and cultural background, enabling students of all linguistic and educational levels to access rigorous content. The platform is web-based and optimized for low-cost devices and limited bandwidth, making it accessible in settings with fewer technological resources. ST Math aligns with Universal Design for Learning (UDL) principles, offering self-paced, scaffolded instruction to accommodate diverse learning needs and abilities. Furthermore, its proven impact in Title I and high-poverty schools demonstrates its effectiveness in narrowing achievement gaps. Educator training through MIND University equips teachers with strategies to support implementation in culturally and linguistically diverse classrooms, reinforcing ST Math’s commitment to equity and inclusion.

ST Math is designed with equity and inclusion at its core. Its visual, language-free approach ensures students from diverse linguistic backgrounds, including English Learners and students with learning differences, can access rigorous math content. The platform adheres to accessibility standards such as WCAG, offering screen reader support and keyboard navigation for students with disabilities. ST Math uses neutral characters to create an inclusive experience for all learners. It works effectively on low-cost devices and in low-bandwidth environments, supporting schools with limited tech infrastructure. Pricing models are flexible, with options that support underserved communities, and partnerships with philanthropic organizations further broaden access. The product development team is intentionally diverse, bringing a range of perspectives that shape inclusive and bias-free design. ST Math also provides professional development, helping educators customize the experience for the diverse needs of their student populations.

MIND Education does not enable A.I. to affect differences in personalized content to students and thereby avoids A.I. content bias entirely. MIND Education designs its program based on its own pioneering human brain neuroscience research in the 1990’s that revealed universal innate abilities such as visual pattern recognition and visual reasoning. The ST Math program applies these universal abilities which were and remain sorely underutilized in the conventional presentation of math, thus avoiding overly complex abstractions up front that end up blocking over half of math learners. Note: MIND has used A.I. since the early 2000’s to evaluate components of this program for efficacy, and to improve those universal components and game instantiations, based on broad student samples.