Research Centers & Universities
Magrid partners with universities, research centers, and academic institutions to support the study, development, and evaluation of early mathematics and cognitive skills.
Designed with a structured, language-neutral framework, Magrid provides a consistent and scalable environment for conducting research in real-world educational contexts.
Validated through academic research
Magrid’s development and validation are supported by academic research, including:
- doctoral research conducted at the University of Luxembourg
- multiple classroom-based validation studies across Europe
- ongoing collaboration with research and education institutions
Key findings include:
- Up to 70% improvement in mathematics and cognitive skill development
(classroom studies across Europe, 2015–2021) - Closing the achievement gap across language backgrounds
(multilingual classroom study, Luxembourg)
These results demonstrate Magrid’s potential as both a research tool and an evidence-based intervention.
For a detailed overview of methodology and findings, visit the full research and evidence page.
Research institutions and universities we work with
Magrid’s cognitive foundation method has been studied and validated in collaboration with leading universities and research institutions across Europe and beyond.
A structured environment for research
Magrid provides a controlled and consistent task environment, supporting both qualitative and quantitative research.
Key characteristics include:
- Standardised task design – consistent interaction patterns across activities
- Language-neutral interface – reduces confounding variables related to language proficiency
- Progressive sequencing – enables longitudinal analysis of skill development
- Independent interaction – minimises variation introduced by instruction
This makes Magrid particularly suitable for:
- classroom-based research
- intervention studies
- longitudinal studies
- cross-cultural comparisons
Supporting data collection and analysis
Magrid produces structured quantitative and qualitative data that can be clearly organised, exported, and analysed to support research, monitoring, and impact evaluation.
Available data includes:
- activity completion and progression
- time-on-task and engagement patterns
- performance across defined cognitive and mathematical domains
- assessment outcomes linked to specific competencies
This allows researchers to:
- analyse learning trajectories over time
- identify patterns in skill development
- evaluate intervention impact
- support evidence-based conclusions
Data can be accessed through the platform (via the app or a web-based dashboard), and can be shared across research teams as needed.
Collaboration models
Magrid supports a range of research and academic collaboration models.
Research pilots
- small-scale or large-scale implementation studies
- classroom-based or controlled environments
- support for study design and implementation
Longitudinal studies
- tracking development over time
- analysis of cognitive and mathematical progression
- evaluation of long-term impact
Cross-cultural and multilingual research
- language-neutral design supports international comparison
- suitable for studies across diverse populations
- enables research on equity and access
Co-development and innovation
- collaboration on new research directions
- contribution to ongoing product development
- joint exploration of emerging educational needs
Integration into research and teaching contexts
Magrid can be integrated into:
- university-led research projects
- teacher training programs
- educational psychology studies
- collaborative international research initiatives
Its flexibility allows it to be used both as a research instrument and as part of applied learning environments.
Ethical and practical considerations
Magrid is designed to support responsible and practical research implementation.
- non-invasive, low-barrier interaction for participants
- suitable for young learners and diverse populations
- minimal setup and training required
- adaptable to different research settings
- data protection and privacy compliance, with secure handling of learner data in line with relevant regulations
While Magrid is not a diagnostic tool, it provides structured data and observable behaviours that can complement formal research methodologies.
A platform for research and real-world impact
Magrid bridges the gap between controlled research environments and real-world educational implementation.
By combining a structured framework, accessible design, and scalable deployment, it enables researchers to generate meaningful insights while contributing to practical improvements in learning outcomes.