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eLC: Learning Analytics, Thursday 5th May

5 May 2016

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Celia Bautista
22 April 2016

Our next eLC event will be held on Thursday 5th May from 10:00–11:30 in our usual venue: Library Seminar Rooms 1 and 2 when we have two exciting talks on Learning Analytics (please note there are some changes in Bart and Lisette’s talk from the title given in the recent eLearning Digest).  We look forward to seeing many of you there.

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 Behavior) as well as in various conference papers. We will focus on the key findings which discuss the way the unique designs created by module teams cluster based upon design decisions made. We also discuss the impact of the balance of activities and VLE engagement in relation to satisfaction and retention. An opportunity for the audience will be provided to consider the impact of these findings on practice. We conclude 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

  • Everyone is welcome, and as usual, if you are not able to come to the whole event you are welcome to drop into the presentation(s) that you can make.  If possible, to help us with planning refreshments and to know about likely numbers, please let Celia.Bautista know that you are intending to come, at  


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