An Investigation into the Design of Learning Analytic Dashboards (LAD) for the Enhancement of Motivation, Engagement and Achievements in an E-Learning Environment

Abstract

The current scenario of higher education reflects an increased permeation of digital technology, with this integration has influenced both learning and teaching practices. One of the main impacts has been in the advancement of Learning Management Systems (LMS). By facilitating synchronous and asynchronous communication and interactions linked to a virtual environment, LMSs have become integral to higher education. Learning Analytic Dashboards (LAD) are the digital platforms used by educational institutions for collecting, measuring, analysing and reporting data concerning learners and their activities and achievements. Related to that, as an area of research and development, learning Analytics is a rapidly growing field of LMS and of particular significance to LAD design. Many universities are utilising LADs, but guidelines to support effective design underpinned by research are limited. This study aims to assess the role of LAD design in optimising learning by influencing factors such as student motivation, engagement and achievement. The significance of this study is that it will offer novel insights on principles that should be adopted while designing LADs capable of leading students towards better learning experience and performance. Based on implications from previous studies as well as an empirical investigation on the need for such tools, this study will develop a prototype of a LAD that befits with student-facing demands.