education's digital future

the new data science of teaching and learning

Big data are transforming research on education and the science of learning more generally. With digital curriculum aligned to Common Core Standards and the rise of formative assessments and recommendation engines for learning resources, far more extensive data are available to trace learning trajectories at granular levels of detail. Stanford is a major center for the development of this new learning knowledge. It grows at the intersection of traditional social-science disciplines, the information sciences, computer engineering, and design. Our work last year explored the cutting edge of this new world of inquiry.


Stanford GSE Professor Paulo Blikstein provided a broad introduction to their own work on how multimodal data captured in situ can enable assessment of complex learning performances such as project-based and collaborative learning. 

Jace Kohlmeier, Khan Academy - "From Machine Learning to Optimized Learning"