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scientific master's theses
Integracija modula poslovnog odlučivanja u sustav učenja na daljinu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. urn:nbn:hr:168:436140
Fabijanić, Mario
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Institutional repository: FER Repository

Cite this document

Fabijanić, M. (2006). Integracija modula poslovnog odlučivanja u sustav učenja na daljinu (Scientific master's theses). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:436140

Fabijanić, Mario. "Integracija modula poslovnog odlučivanja u sustav učenja na daljinu." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:436140

Fabijanić, Mario. "Integracija modula poslovnog odlučivanja u sustav učenja na daljinu." Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:436140

Fabijanić, M. (2006). 'Integracija modula poslovnog odlučivanja u sustav učenja na daljinu', Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:436140

Fabijanić M. Integracija modula poslovnog odlučivanja u sustav učenja na daljinu [Scientific master's theses]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2006 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:168:436140

M. Fabijanić, "Integracija modula poslovnog odlučivanja u sustav učenja na daljinu", Scientific master's theses, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2006. Available at: https://urn.nsk.hr/urn:nbn:hr:168:436140

Metadata
TitleIntegracija modula poslovnog odlučivanja u sustav učenja na daljinu
Title (english)Integration of Business Intelligence Module into Distance Learning System
AuthorMario Fabijanić
MentorZoran Skočir (mentor)
Committee memberMladen Tkalić (predsjednik povjerenstva)
Committee memberZoran Skočir (član povjerenstva)
Committee memberBožidar Kovačić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Telecommunications)
Zagreb
Defense date and country2006, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
65 - Communication and transport industries. Accountancy. Business management. Public relations
37 - Education
Abstract
Učenje na daljinu je učenje u kojem se nastavnik ili mentor i korisnici koji uče nalaze na fizički odvojenim lokacijama. Učenje na daljinu postaje sve zanimljivije kako za tvrtke, tako i za pojedince. Sustavi za upravljanje učenjem na daljinu pritom postaju zanimljivi kao izvori podataka za softver poslovno odlučivanja. Softver poslovnog odlučivanja integriran sa sustavom učenja na daljinu pomaže analizirati načine korištenja učenja na daljinu, pregled postignutih efekata te na taj način unaprijediti kvalitetu ovakvog načina učenja. U ovom radu opisani su principi učenja na daljinu, dan je pregled korištenih tehnologija, izdvojeno je nekoliko najzanimljivijih prednosti koje donosi opisani sustav, opisan je dizajn integriranog modula poslovnog odlučivanja, te su verificirane njegove osnovne značajke s podacima nastalim na ostvarenom projektu u kojem je korišten eLearner® sustav tvrtke Cognita s integriranim i prilagođenim Microsoft Business Intelligence Portal alatom. Posebna je pažnja posvećena stečenim iskustvima, poput postupka otkrivanja razina kompetencija ili nedostataka u edukaciji vezanoj za specifične potrebe ovisno o poslovnoj funkciji. Opisani sustav omogućava jednostavnije i brže otkrivanje spomenutih nedostataka u procesu učenja, čineći sustav naprednijim i kvalitetnijim.
Abstract (english)
Distance learning is learning where the instructor and the learning participants are in physically separate locations. Distance learning is more and more interesting to everyone, for the companies and individuals. Learning Management Systems are capable to be the source of data for Business Intelligence software. Business Intelligence software integrated with Learning Management System can help to analyze the way that learning participant uses distance learning, what are the effects, and how to improve its quality. This paper describes basic principles of distance learning, used technology, advantages that described system brings, design of integrated Business Intelligence Module, and verifies its potentiality on data from implemented project in which was used Cognita eLearner® system with customized Microsoft Business Intelligence Portal. Special attention is given to experiences, like measuring competency level or gap analysis on training requirement against job function. Described system provides easier and faster detection of mentioned imperfections in distance learning, making the system to be more advanced and high quality.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:436140
Study programmeTitle: Postgraduate master programe in computing
Study programme type: university
Study level: postgraduate
Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2019-07-16 12:45:47