Learning Analytics, 5 May 2016
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21 April 2016
Thursday 5 May 2016, 10.00-11.30, Library Seminar Rooms 1&2
The eLC event held on Thursday 5th May from 10:00–11:30 at the Library Seminar Rooms 1 and 2. We held two exciting talks on Learning Analytics.
10:00 – 10.30 Bart Rientes and Lisette Toetenel, IET: Learning Design and Learning Analytics at the OU: past, present and future
This presentation provides a summary of the work relating to Learning Analytics and Learning Design at the Open University to date. We will provide an overview of the rationale behind the research, methods used and findings to date which have already been published in journals such as BJET, (British Journal of Educational Technology) and CINH (Computers in Human Behaviour) as well as in various conference papers. We focused on the key findings which discuss the way the unique designs created by module teams cluster based upon design decisions made. We also discussed the impact of the balance of activities and VLE engagement in relation to satisfaction and retention. An opportunity was provided for the audience to consider the impact of these findings on practice. We concluded the session by providing an overview of the next steps that we have identified to continue our work.
10:30 – 11:00 Avinash Boroowa, LTS: Reviewing three case-studies of learning analytics interventions using the Analytics4Action Evaluation Framework
This study provides a conceptual framework to enable organisations to adopt evidence-based interventions at scale, and how institutions may evaluate the costs and benefits of such interventions.
Building on a new conceptual model developed by the Open University, we have analysed three case-studies of evidence-based interventions.
Using the principles of an embedded case-study approach, by comparing the learning behaviour, satisfaction and performance of 11,079 learners, the findings indicate that each of the three learning designs led to satisfied students and average to good student retention.
One of the core purposes of the Analytics4Action Evaluation Framework approach is to allow module teams to react on real-time data and insight. We highlight that the three module teams made in-presentation interventions based upon real-time analytics. Initial user data indicates changes in VLE behaviour in line with expectations.
11.00 - 11.15 Coffee
11:15 – 11.30 Final remarks, comments and close
For enquiries and further information regarding the event, please email email@example.com.