OU Analyse (LAEP Inventory)

Cloud created by:

Rebecca Ferguson
11 February 2016

Synopsis

The Knowledge Media Institute (KMi) of The Open University, UK developed OU Analyse – software that predicts students at risk. OU Analyse builds upon two previous projects (Retain and the OU-Microsoft Research Cambridge project). OU analyse uses machine-learning techniques to develop predictive models based on demographics and VLE usage data.

 

The software provides a dashboard reporting the aggregated prediction value of several models for all students of a module. Furthermore, the tool discloses the underlying reasoning for its prediction. Currently, the institute develops an activity recommender that can recommend activities to students to improve their performance. Course chairs, module teams, and student support teams use the predictions of OU Analyse to contact and support students.

Classification

Inventory type:

learner support tool

analytics for assessment

Role of analytics:

alerting

summarisation & description

visualisation

prediction

modelling

recommendation

Data sources:

sources data from other system(s): management information systems, virtual learning environment, assessment system

Keywords:

prediction

Tool in Context

Learning:

Higher education

Supply model:

Privately hosted software

Origin:

collaborative or institutional project

Ethics and privacy:

The Open University has set out ethical guidelines on the use of data for learning analytics

Languages:

English

Maturity and Evidence of Utility

OU Analyse's development was accompanied by several scientific pilot studies. The software is used across the university and received substantial coverage in the press.

Further Information

Tool provider’s website: https://analyse.kmi.open.ac.uk

Example(s) of use:

http://www.laceproject.eu/publications/analysing-at-risk-students-at-open-university.pdf

http://www.bbc.co.uk/news/technology-3367547

https://www.timeshighereducation.com/news/week-higher-education-–-30-july-2015

http://www.ft.com/cms/s/2/634624c6-312b-11e5-91ac-a5e17d9b4cff.html

 

Rienties, Bart; Cross, Simon and Zdrahal, Zdenek (2016). Implementing a learning analytics intervention and evaluation framework: what works? In: Kei Daniel, Ben and Butson, Russell eds. Big Data and Learning Analytics in Higher Education: Current Theory and Practice. Heidelberg: Springer.

Kuzilek, Jakub; Hlosta, Martin; Herrmannova, Drahomira; Zdrahal, Zdenek and Wolff, Annika (2015). OU Analyse: analysing at-risk students at The Open University. Learning Analytics Review, LAK15-1 pp. 1–16.

 

See also LAEP Inventory records:

  • Ethical use of student data policy – The Open University
  • Tribal's Student Insights

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