Early childhood education plays a key role in the development, health, and well-being of a child.
Magrid’s effectiveness has been scientifically tested in different groups of children in studies conducted in Luxembourg (Lucet, University of Luxembourg), Germany (IWM, Tuebingen), and France (University of Lille 2).
Early childhood education plays a key role in the development, health, and well-being of a child.
MaGrid comes with a wide range of training tasks (>2500) targeting different aspects of mathematical abilities.
Training activities are focused on the major building blocks of early mathematical development and can be categorized into two main classes: visual-spatial and numerical tasks.
Training activities are focused on the major building blocks of early mathematical development and can be categorized into two main classes: visual-spatial and numerical tasks.
Empirical Evidence on the Effectiveness of the Magrid Learning Solution
The results of the studies revealed that children who used the application over the training period made significant gains in different aspects of early visual special and numerical abilities:
- Spatial perception (Cornu, Schiltz, Pazouki, & Martin, 2019 ; Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Visuomotor integration (Cornu, Schiltz, Pazouki, & Martin, 2019 ; Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Counting (Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Number naming (Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Number sequence knowledge (Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
The outcomes of the studies are the empirical evidence, not only for the effectiveness of the training application but also for the feasibility of implementing this application in an authentic school setting.
The interested reader may refer to the published research papers for a detailed description of the studies’ designs and the results.
Empirical Evidence on the Effectiveness of the Magrid Learning Solution
The results of the studies revealed that children who used the application over the training period made significant gains in different aspects of early visual-spatial and numerical abilities:
- Spatial perception (Cornu, Schiltz, Pazouki, & Martin, 2019 ; Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Visuomotor integration (Cornu, Schiltz, Pazouki, & Martin, 2019 ; Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Counting (Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Number naming (Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
- Number sequence knowledge (Cornu, Pazouki, Schiltz, Fischbach, & Martin, 2018)
The outcomes of the studies are the empirical evidence, not only for the effectiveness of the training application but also for the feasibility of implementing this application in an authentic school setting.
The interested reader may refer to the following published research papers for a detailed description of the studies’ designs and the results.
Cornu, V., Schiltz, C., Pazouki, T., & Martin, R. (2019). Training early visuo-spatial abilities: A controlled classroom-based intervention study. Applied developmental science, 23(1), 1-21.
Pazouki, T., Cornu, V., Sonnleitner, P., Schiltz, C., Fischbach, A., & Martin, R. (2018). MaGrid: a language-neutral early mathematical training and learning application. International Journal of Emerging Technologies in Learning (iJET), 13(08), 4-18.
Cornu, V., Pazouki, T., Schiltz, C., Fischbach, A., & Martin, R. (2018). Overcoming language barriers in early mathematics instruction with “MaGrid”-a language-neutral training tool for multilingual school settings.
Pazouki, T., Cornu, V., & Martin, R. (2016, June). Visual Spatial Math Training Tool: An iPad Application for Training Visual-Spatial Abilities in Preschoolers. In EdMedia+ Innovate Learning (pp. 1594-1602). Association for the Advancement of Computing in Education (AACE).
Jung, S., Meinhardt, A., Braeuning, D., Roesch, S., Cornu, V., Pazouki, T., … & Moeller, K. (2020). Hierarchical Development of Early Visual-Spatial Abilities–A Taxonomy Based Assessment Using the MaGrid App. Frontiers in Psychology, 11.
Cornu, V., Schiltz, C., Pazouki, T., & Martin, R. (2019). Training early visuo-spatial abilities: A controlled classroom-based intervention study. Applied developmental science, 23(1), 1-21.
Pazouki, T., Cornu, V., Sonnleitner, P., Schiltz, C., Fischbach, A., & Martin, R. (2018). MaGrid: a language-neutral early mathematical training and learning application. International Journal of Emerging Technologies in Learning (iJET), 13(08), 4-18.
Cornu, V., Pazouki, T., Schiltz, C., Fischbach, A., & Martin, R. (2018). Overcoming language barriers in early mathematics instruction with “MaGrid”-a language-neutral training tool for multilingual school settings.
Pazouki, T., Cornu, V., & Martin, R. (2016, June). Visual Spatial Math Training Tool: An iPad Application for Training Visual-Spatial Abilities in Preschoolers. In EdMedia+ Innovate Learning (pp. 1594-1602). Association for the Advancement of Computing in Education (AACE).
Jung, S., Meinhardt, A., Braeuning, D., Roesch, S., Cornu, V., Pazouki, T., … & Moeller, K. (2020). Hierarchical Development of Early Visual-Spatial Abilities–A Taxonomy Based Assessment Using the MaGrid App. Frontiers in Psychology, 11.
