Abstract

Despite the vast volumes of student data captured and recorded within learning management systems (LMS), there has been minimal research that investigates how such analytics can meet design, delivery and evaluation of teaching and learning practices. The challenge for higher education institutions is no longer simply to generate data and make it available, but rather to readily and accurately interpret data and translate such findings to practice. This project aims to provide teaching staff with the resources to use LMS-derived data to enhance teaching practice.
The implementation of social network analysis and data visualisation techniques provides educators with an early and timely opportunity to make learning networks and their value explicit to their students. It also provides the necessary learning support to address gaps in students’ understanding of learning concepts and enhance socialisation within the wider network, thereby reducing attrition, a common outcome of isolation.