Online learning systems have the ability to capture learner behaviors and can operate on the data to provide a variety of stakeholders with feedback to improve teaching, learning, and educational decision making.
With analytics and data mining experiments in education starting to proliferate, sorting out fact from fiction and identifying research possibilities and practical applications are not easy. This issue brief is intended to help policymakers and administrators understand how analytics and data mining have been—and can be—applied for educational improvement while rigorously protecting student privacy.
Christina Allen of LinkedIn discusses their use of data to help prospective students explore future career options that are associated with selection of certain major areas of study at higher education institutions.
Resources for maintaining student privacy in a school environment.
Presents evidence approaches and data sources that can help with learning resources decisions.
Initiatives to leverage open educational resources and data to improve education.