LEVANTE

science
learning
network
data
Learning Variability Network Exchange (LEVANTE): A Global Framework for Measuring Children’s Learning Variability Through Collaborative Data Sharing
Authors
Affiliations

Stanford University

Stanford University

Jacobs Foundation

Published

August 2, 2025

Doi

Abstract

Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework designed to enable coordinated data collection by research teams worldwide, with the goal of measuring variability in children’s learning and development. The LEVANTE measure set aims to capture variability in learning outcomes (literacy and numeracy) as well as in core cognitive and social constructs. LEVANTE will yield a large, open access longitudinal dataset for long-term research use, both creating a multidisciplinary research network and facilitating the science of learning variability.

Important figures

Figure 1: LEVANTE

Figure 1: LEVANTE

Citation

 Add to Zotero

@article{frank2025learning,
  title={Learning Variability Network Exchange (LEVANTE): A Global Framework for Measuring Children's Learning Variability Through Collaborative Data Sharing},
  author={Frank, Michael C and Baumgartner, Heidi A and Braginsky, Mika and Kachergis, George and Lightbody, Amy A and Sparks, Robert Z and Zhu, Rebecca and Carlson, Stephanie M and Graham, Sandra and Lipina, Sebasti{\'a}n J and others},
  journal={Child Development},
  year={2025},
  publisher={Wiley Online Library}
}