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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A global research network to improve our understanding of variability in learning and development through coordinated data collection.
Key features
Explore the key features that make LEVANTE a unique framework to investigate the impact of variability in childhood on learning
To understand the nature of developmental variability alongside its counterpart, developmental continuity, LEVANTE provides researchers with open-access to direct and indirect holistic assessment measures of core constructs, enabling them to gather a large, rich, multi-context dataset measuring change over time in children aged 2 – 12 years.
The LEVANTE Data Repository (LDR) serves as a centralized repository for the standardized datasets generated via this framework, and allows for the open sharing and reuse of these data. Hosted by Stanford University, LDR is the first cross-cultural, multidisciplinary open dataset that captures the richness and diversity of child development and learning.
LEVANTE is designed to enable coordinated data collection around measuring children’s variability within and across individuals, groups, and cultures. Distributed across groups and populations via a call for proposals, data collection will result in an interrelated set of accelerated, longitudinal studies that use the same sampling plan and core measure set.
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