Evidence of the month: OpenEssayist – a tool for drafting essays

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Each month, we highlight a piece of evidence from the LACE Evidence Hub, which brings together evidence about learning analytics. Everyone is welcome to add evidence to the Hub site.

The Evidence of the Month for May is another paper from LAK15 conference: OpenEssayist: a supply and demand learning analytics tool for drafting academic essays.

OpenEssayist is a natural language analytics engine to provide feedback to students when preparing an essay for summative assessment.

The authors report a significant positive correlation between the number of drafts submitted to the system and the grades awarded for the first assignment. They also report that the cohort of students who used the system (N=41) gained significantly higher overall grades than the students in the previous cohort, who had no access to OpenEssayist.

As a system that is content free, OpenEssayist can be used to support students working in any domain that requires the writing of essays.

Citation: Whitelock, Denise; Twiner, Alison; Richardson, John T. E.; Field, Debora and Pulman, Stephen (2015). OpenEssayist: a supply and demand learning analytics tool for drafting academic essays. In: 5th International Learning Analytics & Knowledge Conference (LAK15), 16-20 March 2015, Poughkeepsie, NY, USA | Url: http://dl.acm.org/citation.cfm?id=2723599.


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Academic in to new technology in teaching, particularly learning analytics, at the Open University in the UK.

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