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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Ben Domingue is an associate professor at the Graduate School of Education at Stanford University with research interests in psychometrics and quantitative methods. He is interested in how statistical tools can be used to better understand psychological and educational outcomes, such as a child’s reading ability. He aims to address the measurement difficulties associated with these outcomes in education, as well as in social and biomedical sciences more generally.
Nilam Ram researches the dynamics of psychological and media processes, exploring their fluctuations across different stages of life. His current research focuses on understanding short-term changes such as learning and emotion regulation over a lifespan, using advanced data science techniques and data streams from social media and smartphones.