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Investigación y datos empíricos

Magrid is built on a foundation of scientific research and real-world validation, combining insights from cognitive science with structured classroom implementation.

Developed through doctoral research at the University of Luxembourg, Magrid has been studied in multiple countries and tested with learners in real educational settings. The results consistently show that its approach improves both early mathematical understanding and the cognitive skills that support learning.

Publicaciones de investigación científica que avalan el método de base cognitiva y el enfoque de desarrollo visoespacial de Magrid

Scientific foundations

Magrid is based on research in psicología del desarrollo, neurociencia y educación infantil, with a focus on how children develop early mathematical understanding.

Research shows that children do not learn mathematics through numbers alone. Instead, they build understanding through habilidades visoespaciales, such as recognising patterns, comparing quantities, and mentally manipulating shapes.

These abilities develop most rapidly between the ages of 4 and 8 and are strong predictors of later academic success. By focusing on these foundational processes, Magrid supports learning in a way that reflects how children naturally develop understanding.

Key research findings

Research on Magrid has shown clear improvements in both learning outcomes and the underlying skills that support them.

In a classroom study with young learners, children who used Magrid showed significant improvements in visual-spatial skills, with moderate to large gains after a structured training period. (Hedges’ g = 0.62–0.74)

In a large-scale multilingual study, students showed improvements in both mathematical and cognitive skills, with measurable progress across all groups. (numerical outcomes g = 0.30–0.46, visuospatial outcomes g = 0.37–0.47)

The same study found that the performance gap between native and non-native speakers was eliminated, demonstrating the impact of Magrid’s language-neutral approach.

Validation research also showed that Magrid can accurately measure how children develop key cognitive skills, and can distinguish differences in ability between learners in a meaningful way. (CFI = 0.98, RMSEA = 0.03)

Additional studies found that Magrid’s digital assessments are highly sensitive to developmental differences, making them effective for tracking progress and identifying learning needs.

Together, these findings show that Magrid is not only engaging, but delivers measurable improvements in learning and development.

Children engaged in structured learning activities in a European classroom as part of Magrid's research validation studies

How Magrid was validated

Magrid has been validated through structured studies conducted in real classroom environments across Europe.

In these studies, learners:

  • Completed an initial evaluación inicial
  • Engaged in structured learning activities over time
  • Were reassessed through mid and post testing


This allowed researchers to track how skills developed and measure changes in performance.

As the studies were conducted in real classrooms, the results reflect how Magrid works in everyday learning environments, not just controlled laboratory conditions.

The combination of assessment, guided learning, and repeated measurement provides a reliable and meaningful way to evaluate learning progress.

Research studies

Magrid has been evaluated through multiple studies across different countries and research contexts.

Multilingual learning study

Location: Luxemburgo
Period: 2018–2020
Participants: Early primary learners

This study showed that students improved in both mathematical and cognitive skills, and importantly, that language differences no longer affected performance outcomes.

(Numerical: g = 0.30–0.46 | Visuospatial: g = 0.37–0.47)

Cognitive validation study

Location: Germany
Year: 2020
Participants: Children aged 4–6

This study showed that Magrid accurately reflects how children develop key cognitive skills, confirming that its tasks measure real developmental progress.

(Model fit: CFI = 0.98, RMSEA = 0.03)

Digital assessment comparison study

Location: Germany
Year: 2021

This study showed that Magrid’s digital assessment is more sensitive to developmental differences than comparable non-digital methods, making it particularly effective for identifying learning needs early.

Icono que representa el enfoque de Magrid, respaldado por la investigación, sobre el desarrollo cognitivo y el aprendizaje temprano de las matemáticas

Research reach and
implementation

Magrid is supported by more than six years of peer-reviewed research, including multiple published studies and ongoing research projects.

It has been implemented in over 500 schools across multiple countries, reaching more than 50,000 learners worldwide.

This combination of scientific validation and large-scale implementation ensures that Magrid is both credible and practical for real-world use.

Why this matters

The research behind Magrid has important implications for education systems, policy, and inclusive learning.

By focusing on foundational skills, Magrid supports early intervention at a stage where it can have the greatest long-term impact. Its language-neutral design removes barriers linked to language, making it effective in multilingual and diverse environments.

The structured, visual approach also supports learners with additional needs, helping educators identify areas for targeted support and deliver more inclusive learning experiences.

This makes Magrid particularly valuable for:

  • Inclusive education and SEN support
  • Multilingual and multicultural classrooms
  • Large-scale education programmes and policy initiatives

Explore the research in more detail

Access full study reports, detailed findings, and methodology.