DC FieldValueLanguage
dc.contributor.authorPsaromiligkos, Ioannis (Yannis)-
dc.contributor.authorRetalis, Symeon-
dc.contributor.authorPapasalouros, Andreas-
dc.contributor.authorSiscos, Spyros-
dc.contributor.authorKargidis, Theodoros-
dc.date.accessioned2024-03-29T09:49:21Z-
dc.date.available2024-03-29T09:49:21Z-
dc.date.issued2006-
dc.identifiergoogle_scholar-I8TcBtcAAAAJ:roLk4NBRz8UC-
dc.identifier.isbn1-86220-182-X-
dc.identifier.otherI8TcBtcAAAAJ:roLk4NBRz8UC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1668-
dc.description.abstractNetworked learning is much more ambitious than previous approaches of ICT-support in education. It is therefore more difficult to evaluate the effectiveness and efficiency of the networked learning activities. Evaluation of learners’ interactions in networked learning environments is a difficult, resource and expertise demanding task. Educators participating in online learning environments, have very little support by integrated tools to evaluate students’ activities and identify learners’ online browsing behavior and interactions. As a consequence, educators are in need for non-intrusive and automatic ways to get feedback from learners’ progress in order to better follow their learning process and appraise the online course effectiveness. They also need specialized tools for authoring, delivering, gathering and analysing data for evaluating the learning effectiveness of networked learning courses.Thus, the aim of this paper is to propose a new set of services for the evaluator and lecturer so that he/she can easily evaluate the learners’ progress and produce evaluation reports based on learners’ behaviour within a Learning Management System. These services allow the evaluator to easily track down the learners’ online behavior at specific milestones set up, gather feedback in an automatic way and present them in a comprehensive way. The innovation of the proposed set of services lies on the effort to adopt/adapt some of the web usage mining techniques combining them with the use of semantic description of networked learning tasksen_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the Fifth International Conference on Networked Learning 2006en_US
dc.sourceProceedings of the fifth international conference on networked learning, 1-8, 2006-
dc.subjectInteraction analysisen_US
dc.subjectNetworked learning designen_US
dc.subjectUnderstanding the learner's behavioren_US
dc.titleTowards networked learning analytics–A concept and a toolen_US
dc.typeConference Paperen_US
dc.relation.conferenceFifth International Conference on Networked Learning 2006, 10-12 April 2006, Lancaster, Englanden_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage1en_US
dc.identifier.epage8en_US
dc.linkhttps://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=326d7603df43cdfe1c0feeea10d0115b2a9c09b5en_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.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-8420-8663-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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