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An adaptive HMM based approach for improving e-Learning methods

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dc.citedby3
dc.contributor.authorDeeb B.en_US
dc.contributor.authorHassan Z.en_US
dc.contributor.authorBeseiso M.en_US
dc.contributor.authorid56406345300en_US
dc.contributor.authorid13607947600en_US
dc.contributor.authorid57215677011en_US
dc.date.accessioned2023-05-16T02:45:45Z
dc.date.available2023-05-16T02:45:45Z
dc.date.issued2014
dc.description.abstractThe evolution of web based interaction and information processing has provided an important platform to conduct e-learning activities. However, most of the current e-learning platforms provide static content without considering learning requirements of all its users. These users may have varying Visual, Auditory and Kinesthetic (VAK) oriented learning curves based on their mental abilities and these individual curves may also change during the course of education. Maladaptive e-Learning systems cannot impart quality content for each student as the users observe the information based on their exclusive learning traits. To address this problem and to enhance the e-learning experience, adaptive methods to impart e-learning contents are of prime interest. This research presents a novel approach to design an e-learning platform with adaptive content delivery. The model proposed in this research is based on clustering of students using K-means algorithm and the course of content delivery is adaptively characterized for each student using Hidden Markov Models. Both techniques are used to devise an adaptive algorithm which efficiently manages the clustering of students based on their VAK aptitudes and predicts the future e-learning framework for these students. This adaptive algorithm can thus be applied to any e-learning platform for optimal content delivery to its users in real-time. © 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6916638
dc.identifier.doi10.1109/WCCAIS.2014.6916638
dc.identifier.scopus2-s2.0-84908675989
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84908675989&doi=10.1109%2fWCCAIS.2014.6916638&partnerID=40&md5=d0e6f46a7c94c01d4bd5276cfa597e85
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/21859
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014
dc.titleAn adaptive HMM based approach for improving e-Learning methodsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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