Supportive Automated Feedback for Short Essay Answers (SAFeSEA)
Lead Research Organisation:
University of Oxford
Department Name: Computer Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
| Stephen Pulman (Principal Investigator) |
Publications
B Alden
(2014)
Using student experience as a model for designing an automatic feedback system for short essays
in International Journal of e- Assessment
D Field
(2014)
An exploration of the features of graded student essays using domain- independent natural language techniques.
in International Journal of e-Assessment
Field D.
(2014)
The pragmatics of margin comments: An empirical study
in Proceedings of the Annual Meeting of the Association for Computational Linguistics
| Description | We showed that a system for generating feedback on essay drafts automatically was found useful by students in improving their essay writing skills |
| Exploitation Route | Our prototype is currently being developed for possible commercial exploitation via an Impact Acceleration Award at Oxford University |
| Sectors | Education |
| Description | A version of the prototype we developed is being deployed internally at Oxford and potentially as a commercial product via an Impact Acceleration Award. This process is ongoing. |
| First Year Of Impact | 2017 |
| Sector | Digital/Communication/Information Technologies (including Software),Education |
| Impact Types | Cultural |