Year: 2012
Type: conference-paper
Abstract: In this paper we describe the use of learning analytics to provide indicators of students' behaviour in technology-enhanced learning environments.We first provide an overview of the emerging field of learning analytics, and then describe a learning-analytic tool which reports student use of the Lectopia lecture capture system across the weeks of a semester, both collectively and individually.Observation of the data provided by the system enabled us to develop a set of prototheoretical categories of behaviour, with associated algorithms to numerically identify these categories.Finally, we describe the use of the learning-analytic tool in a mixed methods approach to investigate in depth how students, with different characteristics, engage with and learn from technology-enhanced learning environments.
Institutions: Murdoch University, University of Newcastle Australia
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
Funder: Murdoch University
OpenAlex ID: W1508528722