Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31929
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHarrison, Scotten
dc.contributor.authorVillano, Renatoen
dc.contributor.authorLynch, Graceen
dc.contributor.authorChen, Georgeen
dc.date.accessioned2021-11-16T03:10:24Z-
dc.date.available2021-11-16T03:10:24Z-
dc.date.issued2016-04-25-
dc.identifier.citationLAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conference, p. 241-248en
dc.identifier.isbn9781450341905en
dc.identifier.urihttps://hdl.handle.net/1959.11/31929-
dc.description.abstractThe prevalence of early alert systems (EAS) at tertiary institutions is increasing. These systems are designed to assist with targeted student support in order to improve student retention. They also require considerable human and capital resources to implement, with significant costs involved. It is therefore an imperative that the systems can demonstrate quantifiable financial benefits to the institution. The purpose of this paper is to report on the financial implications of implementing an EAS at an Australian university as a case study. The case study institution implemented an EAS in 2011 using data generated from a data warehouse. The data set is comprised of 16,124 students enrolled between 2011 and 2013. Using a treatment effects approach, the study found that the cost of a student discontinuing was on average $4,687. Students identified by the EAS remained enrolled for longer, with the institution benefiting with approximately an additional $4,004 in revenue per student over the length of enrolment. All schools had a significant positive effect associated with the EAS and the EAS showed significant value to the institution regardless of the timing when the student was identified. The results indicate that EAS had significant financial benefits to this institution and that the benefits extended to the entire institution beyond the first year of enrolment.en
dc.languageenen
dc.publisherAssociation for Computing Machinery (ACM)en
dc.relation.ispartofLAK '16 Conference Proceedings: The Sixth International Learning Analytics & Knowledge Conferenceen
dc.titleMeasuring financial implications of an early alert systemen
dc.typeConference Publicationen
dc.relation.conferenceLAK 2016: 6th International Conference on Learning Analytics and Knowledgeen
dc.identifier.doi10.1145/2883851.2883923en
dc.subject.keywordsearly alert systemsen
dc.subject.keywordsevaluationen
dc.subject.keywordsstudent retentionen
dc.subject.keywordsComputer Science, Interdisciplinary Applicationsen
dc.subject.keywordsEducation & Educational Researchen
dc.subject.keywordsComputer Scienceen
dc.subject.keywordsFinancialen
local.contributor.firstnameScotten
local.contributor.firstnameRenatoen
local.contributor.firstnameGraceen
local.contributor.firstnameGeorgeen
local.profile.schoolSchool of Humanities, Arts and Social Sciencesen
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.emailsharri52@une.edu.auen
local.profile.emailrvillan2@une.edu.auen
local.profile.emailglynch2@une.edu.auen
local.profile.emailgchen2@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference25th - 29th April, 2016en
local.conference.placeEdinburgh, United Kingdomen
local.publisher.placeNew York, United States of Americaen
local.format.startpage241en
local.format.endpage248en
local.identifier.scopusid84976488383en
local.peerreviewedYesen
local.contributor.lastnameHarrisonen
local.contributor.lastnameVillanoen
local.contributor.lastnameLynchen
local.contributor.lastnameChenen
dc.identifier.staffune-id:sharri52en
dc.identifier.staffune-id:rvillan2en
dc.identifier.staffune-id:glynch2en
dc.identifier.staffune-id:gchen2en
local.profile.orcid0000-0003-2581-6623en
local.profile.orcid0000-0002-8519-9340en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/31929en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleMeasuring financial implications of an early alert systemen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsLAK 2016: 6th International Conference on Learning Analytics and Knowledge, Edinburgh, United Kingdom, 25th - 29th April, 2016en
local.search.authorHarrison, Scotten
local.search.authorVillano, Renatoen
local.search.authorLynch, Graceen
local.search.authorChen, Georgeen
local.uneassociationYesen
local.atsiresearchNoen
local.conference.venueUniversity of Edinburghen
local.sensitive.culturalNoen
local.identifier.wosid000390844700031en
local.year.published2016en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/e2fca457-b418-4f20-97eb-bc7d6633d506en
local.subject.for2020380104 Economics of educationen
local.subject.seo2020160304 Teaching and instruction technologiesen
local.date.start2016-04-25-
local.date.end2016-04-29-
Appears in Collections:Conference Publication
School of Humanities, Arts and Social Sciences
UNE Business School
Files in This Item:
2 files
File Description SizeFormat 
Show simple item record

SCOPUSTM   
Citations

11
checked on Sep 21, 2024

Page view(s)

1,700
checked on Sep 29, 2024

Download(s)

8
checked on Sep 29, 2024
Google Media

Google ScholarTM

Check

Altmetric


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