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dc.contributor.authorDas, Bidyut
dc.contributor.authorMajumder, Mukta
dc.contributor.authorPhadikar, Santanu
dc.contributor.authorSekh, Arif Ahmed
dc.date.accessioned2021-07-01T13:02:23Z
dc.date.available2021-07-01T13:02:23Z
dc.date.issued2021-03-18
dc.description.abstractLearning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. Assessment is most important in any learning system. An assessment system can find the self-learning gaps of learners and improve the progress of learning. The manual question generation takes much time and labor. Therefore, automatic question generation from learning resources is the primary task of an automated assessment system. This paper presents a survey of automatic question generation and assessment strategies from textual and pictorial learning resources. The purpose of this survey is to summarize the state-of-the-art techniques for generating questions and evaluating their answers automatically.en_US
dc.identifier.citationDas, Majumder, Phadikar, Sekh. Automatic question generation and answer assessment: a survey. Research and Practice in Technology Enhanced Learning (RPTL). 2021;16(1):1-15en_US
dc.identifier.cristinIDFRIDAID 1910479
dc.identifier.doi10.1186/s41039-021-00151-1
dc.identifier.issn1793-2068
dc.identifier.issn1793-7078
dc.identifier.urihttps://hdl.handle.net/10037/21658
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.journalResearch and Practice in Technology Enhanced Learning (RPTL)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Physics: 430en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430en_US
dc.titleAutomatic question generation and answer assessment: a surveyen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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