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Self-learning system with automatic feedback for text answers

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dc.contributor.authorKodithuwakku, K. T
dc.contributor.authorSenevirathne, W. S. J. M. C. D
dc.contributor.authorRandeniya, R. A. D. A
dc.contributor.authorWijewardane, M. M. D. D. A
dc.contributor.authorGamage, M. P. A. W
dc.date.accessioned2022-05-03T05:32:11Z
dc.date.available2022-05-03T05:32:11Z
dc.date.issued2017-12-06
dc.description.abstractThis paper presents details about a system developed using Natural Language Processing tools and methodologies to automatically evaluate a text answer by comparing the semantic similarity between the model answer with the provided student answer. System generates a score according to the matching percentage of the semantic similarity using the assigned marking pattern for the question. This system is embedded in a web application to be provided as a service for students and teachers to promote self-learning through question answering.en_US
dc.identifier.citationK. T. Kodithuwakku, W. S. J. M. C. D. Senevirathne, R. A. D. A. Randeniya, M. M. D. D. A. Wijewardane and M. P. A. W. Gamage, "Self-learning system with automatic feedback for text answers," 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017, pp. 1-7, doi: 10.1109/SKIMA.2017.8294122.en_US
dc.identifier.doi10.1109/SKIMA.2017.8294122en_US
dc.identifier.issn2573-3214
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/2160
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA);Pages 1-7
dc.subjectSelf-learning systemen_US
dc.subjectautomatic feedbacken_US
dc.subjecttext answersen_US
dc.titleSelf-learning system with automatic feedback for text answersen_US
dc.typeArticleen_US
dspace.entity.typePublication

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