Our model is grounded in well-established research from education, neuroscience, and child development. Across these fields, there is strong agreement on the conditions that support effective learning.
Below are key research findings that inform our design.
Research shows that aligning instruction to a student’s current level significantly improves outcomes.
Students learn best when material is appropriately challenging
Gaps compound when students move on before mastering content
Mastery-based progression leads to stronger long-term retention
Research Highlights:
Bloom (1984) found that mastery learning can significantly improve student achievement compared to traditional instruction
Hattie (2009) identified feedback and appropriately leveled instruction as having high effects on learning
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The quality of teacher–student relationships is one of the strongest predictors of student success.
Increased engagement and motivation
Improved academic performance
Stronger emotional regulation and wellbeing
Research Highlights:
Hattie (2009) ranks teacher-student relationships among the highest influences on achievement
Roorda et al. (2011) meta-analysis found positive relationships significantly improve engagement and performance
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Research on mixed-age classrooms suggests benefits in both academic and social domains.
Increased collaboration and peer learning
Opportunities for leadership and mentorship
Reduced social comparison and competition
Research Highlights:
Vygotsky’s theory of the Zone of Proximal Development supports learning through interaction with more capable peers
Pratt (1986) and subsequent studies show mixed-age groups support social and cognitive growth
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Neuroscience research shows that physical movement directly supports cognitive function.
Improves attention and executive function
Enhances memory and learning
Supports emotional regulation
Research Highlights:
Ratey (2008) summarizes research linking exercise to improved brain performance
Donnelly et al. (2016) review found physical activity positively impacts cognition and academic achievement
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Research in psychology shows that intrinsic motivation is driven by:
Autonomy: Desire to direct one's own life and work.
Mastery: Drive to improve skills and achieve excellence.
Purpose: Aspiration to contribute to something larger than oneself.
These factors increase persistence, engagement, and long-term success.
Research Highlights:
Deci & Ryan (2000) Self-Determination Theory demonstrates the importance of autonomy and competence
Pink (2009) synthesizes this research in applied settings
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Students retain more when learning is meaningful and applied.
Hands-on, project-based learning increases engagement
Interdisciplinary learning improves transfer of knowledge
Real-world relevance increases retention
Research Highlights:
Barron & Darling-Hammond (2008) found project-based learning improves deeper understanding
National Research Council (2000) emphasizes learning for transfer through application
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Beliefs about learning strongly influence outcomes.
Students who believe abilities can grow perform better over time
Persistence and resilience increase with a growth mindset
Research Highlights:
Dweck (2006) demonstrates that growth mindset improves academic achievement
Yeager & Dweck (2012) show mindset interventions improve student outcomes
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Across multiple disciplines, research consistently shows:
Students learn best when instruction matches their level
Relationships are central to learning and development
Movement supports brain function and focus
Meaningful, applied learning improves retention
Motivation is driven by autonomy, mastery, and purpose
Confidence and mindset shape long-term success
High-performing education systems around the world often reflect similar research-based principles, even when their structures differ.
Countries such as Finland and Japan, both of which perform strongly on international assessments like the Programme for International Student Assessment, emphasize key practices that align with how children learn best.
Finland
Frequent breaks and daily outdoor time support focus and wellbeing
Strong, long-term teacher–student relationships
Learning is developmentally appropriate, especially in early years
Less reliance on high-stakes testing
Teachers are trusted to adapt learning to student needs
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Japan
Emphasis on responsibility, independence, and contribution
Strong sense of community and belonging
Structured routines that support focus and consistency
Deep, concept-based learning with time for mastery
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What These Systems Share
While their approaches differ, both systems reflect common research-backed principles:
Learning is supported by strong relationships
Students benefit from both structure and autonomy
Movement, breaks, and pacing matter
Mastery and deep understanding are prioritized
Schools intentionally develop both academic and social skills
Why This Matters
These international examples demonstrate that when education systems align with how children learn and develop, students are more likely to succeed academically while also building confidence, independence, and social responsibility.
These shared principles help inform how we design a learning environment that supports both academic growth and overall student wellbeing.
Learning Science & How the Brain Learns
Bransford, John D., et al. How People Learn. 2000. (Learning science and cognition)
Dunlosky, John, et al. Improving Students’ Learning with Effective Learning Techniques. 2013. (Evidence-based study strategies)
Roediger, Henry L., and Jeffrey D. Karpicke. Test-Enhanced Learning. 2006. (Retrieval practice and memory)
Sweller, John. Cognitive Load Theory. 2011. (How the brain processes information)
Mastery-Based & Personalized Learning
Bloom, Benjamin S. Learning for Mastery. 1968. (Mastery learning foundation)
Guskey, Thomas R. Lessons of Mastery Learning. 2010. (Modern applications of mastery learning)
Pane, John F., et al. Continued Progress: Promising Evidence on Personalized Learning. 2015. (RAND study on personalized learning)
Relationships, Belonging & School Climate
Roorda, Debora L., et al. The Influence of Teacher–Student Relationships on Engagement and Achievement. 2011. (Meta-analysis on relationships)
Pianta, Robert C., et al. Enhancing Relationships Between Children and Teachers. 2008. (Teacher–student connection)
Osterman, Karen F. Students’ Need for Belonging in the School Community. 2000. (Belonging and engagement)
Thapa, Amrit, et al. A Review of School Climate Research. 2013. (School environment and outcomes)
Motivation, Mindset & Student Ownership
Dweck, Carol S. Mindset: The New Psychology of Success. 2006. (Growth mindset)
Deci, Edward L., and Richard M. Ryan. Self-Determination Theory. 2000. (Motivation: autonomy, mastery, purpose)
Zimmerman, Barry J. Becoming a Self-Regulated Learner. 2002. (Student independence and ownership)
Guthrie, John T., et al. Motivating Reading Comprehension. 2004. (Engagement and motivation)
Movement, Focus & Wellbeing
Donnelly, Joseph E., et al. Physical Activity and Academic Achievement. 2016. (Movement and cognition)
Instruction, Assessment & Effective Teaching
Hattie, John. Visible Learning. 2009. (High-impact teaching practices)
Black, Paul, and Dylan Wiliam. Inside the Black Box. 1998. (Formative assessment)
Archer, Anita L., and Charles A. Hughes. Explicit Instruction. 2011. (Effective teaching strategies)
Transferable Skills & Real-World Learning
Pellegrino, James W., and Margaret L. Hilton. Education for Life and Work. 2012. (21st-century skills and transfer)
Darling-Hammond, Linda, et al. Implications for Educational Practice of the Science of Learning and Development. 2020. (Whole-child development)