Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61383
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAlalawi, Khaliden
dc.contributor.authorAthauda, Rukshanen
dc.contributor.authorChiong, Raymonden
dc.date.accessioned2024-07-10T01:00:39Z-
dc.date.available2024-07-10T01:00:39Z-
dc.date.issued2021-
dc.identifier.citationCITISIA 2021 - IEEE Conference on Innovative Technologies in Intelligent System and Industrial Application, Proceedings, p. 1-6en
dc.identifier.isbn9781665417846en
dc.identifier.isbn9781665417853en
dc.identifier.urihttps://hdl.handle.net/1959.11/61383-
dc.description.abstract<p>This paper presents a novel framework aimed at improving educational outcomes in tertiary-level courses. The framework integrates concepts from educational data mining, learning analytics and education research domains. The framework considers the entire life cycle of courses and includes processes and supporting technology artefacts. Well-established pedagogy principles such as Constructive Alignment (CA) and effective feedback principles are incorporated to the framework. Mapping of learning outcomes, assessment tasks and teaching/learning activities using CA enables generating revision/study plans and determining the progress and achievement of students, in addition to assisting with course evaluation. Student performance prediction models are used to identify students at risk of failure early on for interventions. Tools are provided for academics to select student groups for intervention and provide personalised feedback. Feedback reports are generated based on effective feedback principles. Learning analytics dashboards provide information on students' progress and course evaluation. An evaluation of the framework based on a case study and quasi-experimental design on real-world courses is outlined. This research and the framework have the potential to significantly contribute to this important field of study.</p>en
dc.languageenen
dc.publisherIEEEen
dc.relation.ispartofCITISIA 2021 - IEEE Conference on Innovative Technologies in Intelligent System and Industrial Application, Proceedingsen
dc.titleAn Innovative Framework to Improve Course and Student Outcomesen
dc.typeConference Publicationen
dc.relation.conferenceCITISIA 2021 - IEEE Conference on Innovative Technologies in Intelligent System and Industrial Applicationen
dc.identifier.doi10.1109/CITISIA53721.2021.9719985en
local.contributor.firstnameKhaliden
local.contributor.firstnameRukshanen
local.contributor.firstnameRaymonden
local.profile.schoolSchool of Science & Technologyen
local.profile.emailrchiong@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference24th - 26th November, 2021en
local.publisher.placeUnited States of Americaen
local.format.startpage1en
local.format.endpage6en
local.peerreviewedYesen
local.contributor.lastnameAlalawien
local.contributor.lastnameAthaudaen
local.contributor.lastnameChiongen
dc.identifier.staffune-id:rchiongen
local.profile.orcid0000-0002-8285-1903en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61383en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAn Innovative Framework to Improve Course and Student Outcomesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsCITISIA 2021 - IEEE Conference on Innovative Technologies in Intelligent System and Industrial Application, 24th - 26th November, 2021en
local.search.authorAlalawi, Khaliden
local.search.authorAthauda, Rukshanen
local.search.authorChiong, Raymonden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021en
local.year.presented2021en
local.subject.for20204602 Artificial intelligenceen
local.date.start2021-
local.date.end2021-
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-28en
Appears in Collections:Conference Publication
School of Science and Technology
Show simple item record

SCOPUSTM   
Citations

2
checked on Oct 26, 2024

Page view(s)

86
checked on Aug 3, 2024
Google Media

Google ScholarTM

Check

Altmetric


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