Improving Learning Analytics and Student Performance through Connected Lifelong Learning on the Blockchain

Abstract

The use of learning analytics to enhance learning at different levels has continued to gain attention over the past few years. With learning activities taking place in different environments, systems and contexts, capturing and sharing these actions/outcomes continue to pose serious problems. In this paper, we examine how student learning interactions and events across various learning systems such as BookRoll can be accessed, transferred and protected across different learning environment. In facilitating the reusability of past learning interactions, we propose the transferability of user models derived from these learning logs. Finally, we discuss potential areas for advancing the field in connecting and using distributed learning logs for improving learning analytics and students’ performance in general.