The Learning Variability Network Exchange (LEVANTE) brings together researchers from around the world aiming to capture the richness and diversity of child development and learning.
Only by conducting open-access, cutting-edge research can we enhance our knowledge on learning and developmental variability.
Delve into the science of learning variability, explore cutting-edge research, and discover practical insights to enhance learning for all.
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At the University of Western Ontario, Prof. Daniel Ansari and his team at the Numerical Cognition Laboratory are collecting pilot data for the LEVANTE framework. The aim of the study is to obtain data from 300 children aged 5-12 for the LEVANTE project, from local schools in the London, Ontario, Canada region, through collaboration with the Thames Valley District School Board and the London Catholic District School Board. This pilot data will then be used as part of a larger effort to evaluate the age appropriateness of the core LEVANTE measures, their psychometric properties, and validity. By collecting pilot data at different sites with diverse geographical localization and languages it will become possible to evaluate the degree to which the core LEVANTE measures can be used in different contexts. Furthermore, the proposed pilot study will help to evaluate data pipelines developed for LEVANTE including the measurement platform, data validation tool, and data repository architecture.
Read more about the LEVANTE Pilot Sites.
Daniel Ansari is a Professor and Canada Research Chair in Developmental Cognitive Neuroscience and Learning in the Department of Psychology and the Brain & Mind Institute at the University of Western Ontario in London, Ontario where he heads the Numerical Cognition Laboratory. Ansari and his team explore the developmental trajectory underlying both the typical and atypical development of numerical and mathematical skills, using both behavioral and neuroimaging methods.