Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1038
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBamunuge, H. K. T-
dc.contributor.authorPerera, H. M-
dc.contributor.authorKumarage, S-
dc.contributor.authorSavindri, P. A. P-
dc.contributor.authorKasthurirathna, D-
dc.contributor.authorKugathasan, A-
dc.date.accessioned2022-02-09T03:55:43Z-
dc.date.available2022-02-09T03:55:43Z-
dc.date.issued2021-12-09-
dc.identifier.citationB. H. K. T., H. M. Perera, S. Kumarage, P. A. P. Savindri, D. Kasthurirathna and A. Kugathasan, "E-Learn Detector: Smart Behaviour Monitoring System to Analyze Student Behaviours During Online Educational Activities," 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 19-24, doi: 10.1109/ICAC54203.2021.9671073.en_US
dc.identifier.isbn978-1-6654-0862-2-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1038-
dc.description.abstractWith the rise of online education more attention is being paid to the deficiencies in online learning platforms. Online Learning environments aim to deliver efficacious instructions, but rarely take providing a conventional classroom experience to the students into consideration. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real-time. This idea has been exploited several times for Intelligent Tutoring Systems, but not yet in other types of learning environments that are less structured. "E-Learn Detector is a web application solution to these existing issues in online learning which consists of unique features such as verifying the user during logging procedure and throughout an examination, detecting suspicious behaviors and presence of multiple users during online examinations and detecting low engagement levels of students during online lectures. "E-Learn Detector" is developed with the aim to provide guidance to students to improve their academic performance and behavior during classroom activities and to induce the best out of the educational activities.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 3rd International Conference on Advancements in Computing (ICAC);Pages 19-24-
dc.subjectE-Learn Detectoren_US
dc.subjectSmart Behaviouren_US
dc.subjectMonitoring Systemen_US
dc.subjectAnalyze Student Behavioursen_US
dc.subjectOnline Educational Activitiesen_US
dc.titleE-Learn Detector: Smart Behaviour Monitoring System to Analyze Student Behaviours During Online Educational Activitiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671073en_US
Appears in Collections:Research Papers - IEEE
Research Papers - SLIIT Staff Publications



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.