One of the great unsolved challenges facing the education system is determining what actions a jurisdiction can take that contribute to successful student outcomes (attribution). Currently, educational attribution is based primarily on methods, including human observations, assumptions and opinion. However, tools and methods are emerging that tap into information on what actions and steps can be taken by a jurisdiction, a teacher and the system to improve student outcomes.
By tracking the clickstream of daily online activities and interactions, and following the usage of educational resources, teachers and administrators can understand the impact of a student’s daily learning activities and the real-world application of resources. This is critical in understanding what methods work best for students, what resources are successful, what outcomes are being achieved, and what areas require improvement. This form of granular analysis provides insights at all levels, including for jurisdictions, school boards, schools, classrooms, and even individual students.
Peeristics makes attribution modelling possible by unlocking teaching materials into granular datasets that are context rich. By breaking material into smaller building blocks, and tracking that information through the pedagogical lifecycle, Peeristics helps inform data-driven analytics and recommendations, as well as improved collaboration. By tracing resource development and usage patterns, Peeristics network members gain access to a clear line of sight regarding how resources are being adopted, implemented, and supplemented. This results in clear and improved feedback for educators on what was helpful in their classes, as well as usage analytics and insight necessary for schools and jurisdictions to improve curricula, resources and policy.