Last month, students and faculty took part in a key phase of eCampusOntario’s ongoing learning analytics initiative: a sprint designed to gather student insight and understand student learning experiences.
fter a fruitful collaboration between the different partners, the Erasmus+ project “Supporting Higher Education to Incorporate Learning Analytics” (SHEILA) concluded in September 2018. The project aimed to build a policy development framework that supports systematic, sustainable, and responsible adoption of learning analytics (LA) at institutional level.
Probabilistic soft logic (PSL) is a machine learning framework for developing probabilistic models. PSL models are easy and fast, you can define them using a straightforward logical syntax and solve them with fast convex optimization.
The SHEILA project team ran a workshop on “Developing an evidence-based institutional learning analytics policy” at the 13th European Conference on Technology Enhanced Learning on 3 September at the University of Leeds.
Learning Analytics in the Classroom presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different education domains.