CU: Computational assessment of short free text answers - A tool for evaluating students? understanding

Ifeyinwa Okoye, Steven Bethard, Tamara Sumner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Assessing student understanding by evaluating their free text answers to posed questions is a very important task. However, manually, it is time-consuming and computationally, it is difficult. This paper details our shallow NLP approach to computationally assessing student free text answers when a reference answer is provided. For four out of the five test sets, our system achieved an overall accuracy above the median and mean.

Original languageEnglish (US)
Title of host publication*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
PublisherAssociation for Computational Linguistics (ACL)
Pages603-607
Number of pages5
ISBN (Electronic)9781937284497
StatePublished - 2013
Externally publishedYes
Event2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 - Atlanta, United States
Duration: Jun 13 2013Jun 14 2013

Publication series

Name*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics
Volume2

Conference

Conference2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013
Country/TerritoryUnited States
CityAtlanta
Period6/13/136/14/13

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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