Learning analytics can be used in multiple ways to
inform teaching and learning practices in an online environment. Learning
analytics provides a mechanism for teaching staff to improve student learning
outcomes. The use of ‘big data’ collected and obtained through FLO which traces
users of the topic site (students) can help identify patterns in the access and
use of digital resources and learning activities and provide insight to staff about how students are
The data captured by
FLO can be used to inform practice – telling you whether students are engaging
with your topic within FLO,
what is working/not working in
online contexts, and any potential problems they may be having (eg failed login attempts;
being confused about a
particular concept). Work is currently being undertaken to simplify
access to this data.
We have adopted the following definition: Learning analytics is the use of student-related data to enhance learning and teaching.
Specifically, we propose that learning analytics at Flinders should:
focus on the learning activity, topic and/or course as the unit of analysis
use human rather than automated interpretation methods
be derived from a sound pedagogical background, and inform future pedagogy
emphasise practical application for enhancing learning and teaching
be open and transparent as to data collection and intention.