Year: 2011
Type: conference-paper
Abstract: Increasing flexibility in higher education is being provided to meet the needs of a diverse student body. Technologies such as lecture-capture systems, e.g. Lectopia, have been employed by many universities to provide flexibility through on-demand access to recorded lectures. The analysis of student access to these systems is a growing area of interest for teachers in higher education wishing to improve the student learning experience. \n \nThis presentation reports on the development of a learning analytic tool to examine Lectopia usage logs to identify usage patterns among students. It then describes a case study conducted as part of a wider multi-university study which offers a detailed snapshot of four students whose access to Lectopia recordings were tracked and analysed. These students were subsequently interviewed to confirm or disconfirm assumptions made about their study methods from the analysis. The data suggest that patterns of use of Lectopia vary greatly across the student cohorts studied. The analysis also revealed that a surface analysis using learning analytics was largely insufficient to determine student study characteristics, but qualitative data provided rich information to supplement that analysis. Suggestions are made for further research into how this emerging methodology can be further developed and strengthened.
Authors: Rob Phillips, Dorit Maor, W. Cumming-Potvin, Pauline Roberts, Jan Herrington, Greg Preston, Elizabeth S. Moore, Laura B. Perry
Institution: Murdoch University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
Funder: Murdoch University
OpenAlex ID: W2158776339