Skip to Main content Skip to Navigation
New interface
Journal articles

Short and Open Answer Question Assessment System based on Concept Maps

Safa Ben Salem Lilia Cheniti-Belcadhi Rafik Braham Nicolas Delestre 1 
1 MIND - LITIS - Equipe Multi-agent, Interaction, Décision
LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
Abstract : Computer Assisted Assessment of Short and open answers has established a great deal of work during the last years due to the need of evaluating the deep understanding of the lessons’ concepts by learners that, conferring to most teachers, cannot be done by simple MCQ testing. In this paper we have reviewed the techniques underpinned this system, the description of currently available systems for marking short and open text answer and finally proposed a system that would evaluate answers using Natural Language Processing and lastly compared the results obtain by human expert graders and proposed system. We have also compared the results of proposed system with some existing systems.
Document type :
Journal articles
Complete list of metadata
Contributor : Nicolas Delestre Connect in order to contact the contributor
Submitted on : Wednesday, November 9, 2016 - 2:30:53 PM
Last modification on : Wednesday, March 2, 2022 - 10:10:09 AM


  • HAL Id : hal-01394592, version 1


Safa Ben Salem, Lilia Cheniti-Belcadhi, Rafik Braham, Nicolas Delestre. Short and Open Answer Question Assessment System based on Concept Maps. Journal of Information Technology Research, 2016, 9, pp.49-67. ⟨hal-01394592⟩



Record views