dc.contributor.author | Šileikienė, Irma | |
dc.contributor.author | Mamčenko, Jelena | |
dc.contributor.author | Kulvietienė, Regina | |
dc.date.accessioned | 2023-09-18T19:43:19Z | |
dc.date.available | 2023-09-18T19:43:19Z | |
dc.date.issued | 2006 | |
dc.identifier.issn | 1790-1979 | |
dc.identifier.other | (BIS)VGT02-000013826 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/142598 | |
dc.description.abstract | The blended learning method unites the synchronous and asynchronous distance learning models. In Vilnius Gediminas Technical University (VGTU) this model is used for part-time, extramural and distance studies. Thus, a need to develop and implement distance learning system has occurred, in order to satisfy all students', teachers' and administration needs. Using IBM technologies there is developed an environment for student centered learning at Information Technologies Department. Data mining technology can help to find interesting and useful patterns in huge volume of data. However, identify the best prospects is not enough to improve customer value. Data mining is not yet engaged into e-learning systems. This paper introduce how is possible to profit from integration of data mining and the e-learning technology. | eng |
dc.format.extent | p. 169-174 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Compendex | |
dc.title | Mining data in e-learning queries during blended delivery courses | |
dc.type | Straipsnis kitoje DB / Article in other DB | |
dcterms.references | 10 | |
dc.type.pubtype | S3 - Straipsnis kitoje DB / Article in other DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.en | Distance learning | |
dc.subject.en | Blended learning | |
dc.subject.en | Information system | |
dc.subject.en | Data mining | |
dc.subject.en | Web usage mining | |
dcterms.sourcetitle | WSEAS transactions on advances in engineering education | |
dc.description.issue | iss. 2 | |
dc.description.volume | Vol. 3 | |
dc.publisher.name | WSEAS | |
dc.publisher.city | Athens | |
dc.identifier.elaba | 3764419 | |