Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101328
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorMo, DYen_US
dc.creatorTang, YMen_US
dc.creatorWu, EYen_US
dc.creatorTang, Ven_US
dc.date.accessioned2023-09-04T02:03:36Z-
dc.date.available2023-09-04T02:03:36Z-
dc.identifier.issn1360-2357en_US
dc.identifier.urihttp://hdl.handle.net/10397/101328-
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.rights© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10639-022-11098-1.en_US
dc.subjectHigher educationen_US
dc.subjectElectronic Assessment Systemen_US
dc.subjectElectronic Assessment System Acceptance modelen_US
dc.subjectTheoretical modelen_US
dc.subjectInformation and Communication Technologyen_US
dc.titleTheoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher educationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage12543en_US
dc.identifier.epage12566en_US
dc.identifier.volume27en_US
dc.identifier.issue9en_US
dc.identifier.doi10.1007/s10639-022-11098-1en_US
dcterms.abstractElectronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students’ learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students’ study weaknesses to develop strategies for teaching and learning, but also in the development of essential teaching and learning pedagogies for online teaching and learning. Despite the wider adoption of Information and Communication Technology (ICT) technologies due to the COVID-19 pandemic, universities still encountered numerous problems during the transformation to electronic teaching as most educators struggled with the effective implementation of the Electronic Assessment System (EAS). The successful launch of EAS relied heavily on students’ use intention towards the new and unfamiliar electronic system, which was actually unknown to the project managers of EAS. It is therefore important to understand students’ views and concerns on EAS and the proactive measures taken by universities to enhance students’ acceptance and intention of usage. Although most studies investigate students’ acceptance of online learning, there is still little research on the adoption of e-assessment. In this regard, we propose to develop a theoretical model based on students’ perceptions of EAS. Based on the Technology Acceptance Model (TAM) and a major successor of TAM, an electronic assessment system acceptance model (EASA model) is developed with key measures including system adoption anxiety, e-assessment facilitation, risk reduction amid, etc. The data is obtained through a survey among current students at a local university, and structural equation modeling (SEM) is applied to analyze the quantitative data. This study has a significant impact on improving educators’ use of e-assessment in order to develop essential online teaching and learning pedagogy in the future.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEducation and information technologies, Nov. 2022, v. 27, no. 9, p. 12543-12566en_US
dcterms.isPartOfEducation and information technologiesen_US
dcterms.issued2022-11-
dc.identifier.eissn1573-7608en_US
dc.description.validate202308 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera2388-
dc.identifier.SubFormID47604-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Mo_Theoretical_Model_Investigating.pdfPre-Published version1.09 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

85
Citations as of Apr 14, 2025

Downloads

23
Citations as of Apr 14, 2025

SCOPUSTM   
Citations

4
Citations as of Jun 21, 2024

WEB OF SCIENCETM
Citations

3
Citations as of Oct 10, 2024

Google ScholarTM

Check

Altmetric


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