DC FieldValueLanguage
dc.contributor.authorTriperina, Evangelia-
dc.contributor.authorTsolakidis, Anastasios-
dc.contributor.authorChytas, Konstantinos-
dc.contributor.authorKaranikolas, Nikitas N.-
dc.contributor.authorSkourlas, Christos-
dc.date.accessioned2024-07-30T10:52:46Z-
dc.date.available2024-07-30T10:52:46Z-
dc.date.issued2023-08-01-
dc.identifierscopus-85164220905-
dc.identifier.issn2352-3409-
dc.identifier.other85164220905-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2766-
dc.description.abstractThe article describes the academic data, which derived from a University E-government analytic platform, which supports the facilitation of blended learning in a Greek University during and after the COVID19 outbreak. University e-government services refer to a set of information systems that facilitate the functionalities of the University and enable the management of the underlying information. These educational, research and managerial services, also called U-EGOV, follow the four stages of e-government (Presence, Interaction, Transaction, Transformation). In the presented approach, the data was aggregated from the university services with an automated process and includes all the individual U-EGOV services, that is the synchronous and asynchronous educational platforms, the teleconferencing tool, etc. The dataset created contains information about the courses, the assignments, the grades, the examinations, as well as other significant academic elements of the synchronous and the asynchronous education that takes place in the University. The analysis spans from the spring semester of the academic year 2019–2020, the winter semester of the academic year 2020–2021 to the spring semester of 2020–2021 (three semesters in total). The sample consists of 4800 records and after the preprocessing 4765 records (statistics of courses attended by students) which include 1661 unique students within the university in twenty (20) courses. We have followed an educational data mining approach on the collected data by utilizing an automated data aggregation mechanism to gather data for the selected courses, in order to enhance the learning process and the quality of services. The dataset can be reused: i) as a reference point to measure the quality of the academic outputs and its progress through the years and ii) as a basis for similar analysis in other Higher Educational Institutions (HEIs).en_US
dc.language.isoenen_US
dc.relation.ispartofData Briefen_US
dc.subjectBlended learningen_US
dc.subjectEducational data miningen_US
dc.subjectInformation systemen_US
dc.subjectKnowledge discoveryen_US
dc.subjectLearning analyticsen_US
dc.subjectOnline servicesen_US
dc.titleAcademic data derived from a university e-government analytic platform: an educational data mining approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.dib.2023.109357en_US
dc.identifier.scopus2-s2.0-85164220905-
dcterms.accessRights1en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume49en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-4282-2259-
crisitem.author.orcid0000-0001-7364-4542-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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