Virtual Learning Environment - Evaluation of LearnerÕs Behavior Using Topic Models

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dc.contributor.authorN.A. Deepak
dc.contributor.authorGyanendra Kumar
dc.contributor.authorAunkrisa Sangchumnong
dc.contributor.authorR.S. Chaithra
dc.contributor.authorSur Singh Rawat
dc.contributor.authorAziz Nanthaamornphong
dc.contributor.authorGirish B.C. Kumar
dc.contributor.authorManoj Gupta
dc.contributor.correspondenceN.A. Deepak; RV Institute of Technology and Management, Bengaluru, India; email: deepakna.rvitm@rvei.edu.in
dc.date.accessioned2025-03-10T07:34:21Z
dc.date.available2025-03-10T07:34:21Z
dc.date.issued2024
dc.description.abstractOnline learning platforms come with a number of difficulties. To identify the student who does not do the given assignment within the allotted time. Researchers have been attempting to solve this issue in the literature of late, however most algorithms are unable to produce linearly separable learner clusters and correctly classify the input documents. In an attempt to overcome these problems, the suggested methodology builds clusters of linearly separable learners by applying topic models such as Latent Dirichlet Allocation (LDA). First, the necessary features are retrieved and converted into an appropriate LDA of words and phrases. The topic-modeling algorithm (LDA) is then fed the words to create clusters of related content or learners. A number of experiments were carried out to assess how well various predictive models performed. The results show the topic-modeling algorithm LDA attains significant clustering of documents over the other state-of-art. © 2024 IEEE.
dc.identifier.citationIEMECON 2024 - 12th International Conference on Internet of Everything, Microwave, Embedded, Communication and Networks
dc.identifier.doi10.1109/IEMECON62401.2024.10846077
dc.identifier.isbn979-835038731-5
dc.identifier.scopus2-s2.0-85218091841
dc.identifier.urihttps://repository.dusit.ac.th//handle/123456789/4512
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.holderScopus
dc.subjectClusters
dc.subjectDocuments
dc.subjectFeatures
dc.subjectTopic model
dc.subjectWords
dc.titleVirtual Learning Environment - Evaluation of LearnerÕs Behavior Using Topic Models
dc.typeConference paper
mods.location.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85218091841&doi=10.1109%2fIEMECON62401.2024.10846077&partnerID=40&md5=8f047b40789cf6ffcbd8c9a907f74213
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