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Identifying Reasons That Contribute to Dropout Rates in Open and Distance Learning

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dc.contributor.authorKokila Ranasinghe
dc.contributor.authorT Fernando
dc.contributor.authorNimali Vineeshiya
dc.contributor.authorAras Bozkurt
dc.contributor.orcid0000-0001-9021-0076
dc.contributor.orcid0000-0002-1796-1022
dc.contributor.orcid0000-0002-2551-3174
dc.contributor.orcid0000-0002-4520-642X
dc.date.accessioned2026-05-20T09:40:39Z
dc.date.issued2025-05-08
dc.identifier.doi10.19173/irrodl.v26i2.8067
dc.identifier.endpage183
dc.identifier.issn1492-3831
dc.identifier.issue2
dc.identifier.openalexW4410193528
dc.identifier.startpage162
dc.identifier.urihttps://hdl.handle.net/11421/38566
dc.identifier.urihttps://doi.org/10.19173/irrodl.v26i2.8067
dc.identifier.volume26
dc.language.isoen
dc.relation.ispartofThe International Review of Research in Open and Distributed Learning
dc.rightsopenAccess
dc.subjectDropout (neural networks)
dc.subjectDistance education
dc.subjectOpen education
dc.subjectComputer science
dc.subjectEducational technology
dc.subjectPsychology
dc.subjectMathematics education
dc.subjectWorld Wide Web
dc.subjectMachine learning
dc.titleIdentifying Reasons That Contribute to Dropout Rates in Open and Distance Learning
dspace.entity.typePublication

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