What Can Analytics Contribute to Accessibility in e-Learning Systems and to Disabled Students’ Learning?

Cooper, Martyn; Ferguson, Rebecca and Wolff, Annika (2016). What Can Analytics Contribute to Accessibility in e-Learning Systems and to Disabled Students’ Learning? In: LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, ICPS: ACM International Conference Proceeding Series, pp. 99–103.

DOI: https://doi.org/10.1145/2883851.2883946

Abstract

This paper explores the potential of analytics for improving accessibility of e-learning and supporting disabled learners in their studies. A comparative analysis of completion rates of disabled and non-disabled students in a large five-year dataset is presented and a wide variation in comparative retention rates is characterized. Learning analytics enable us to identify and understand such discrepancies and, in future, could be used to focus interventions to improve retention of disabled students. An agenda for onward research, focused on Critical Learning Paths, is outlined. This paper is intended to stimulate a wider interest in the potential benefits of learning analytics for institutions as they try to assure the accessibility of their e-learning and provision of support for disabled students.

Viewing alternatives

Look up in Google Scholar

Download history

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

CORE (COnnecting REpositories)

Recommendations