Integracija modula poslovnog odlučivanja u sustav učenja na daljinu

scientific master's theses

• Title (english): Integration of Business Intelligence Module into Distance Learning System
• Author: Mario Fabijanić
• Mentor: Zoran Skočir (mentor)
• Committee member: Mladen Tkalić (predsjednik povjerenstva)
• Committee member: Zoran Skočir (član povjerenstva)
• Committee member: Božidar Kovačić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Telecommunications); Zagreb
• Defense date and country: 2006, 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: Učenje na daljinu; sustav za upravljanje učenjem na daljinu; komunikacijski kanal; skladište podataka; analize; nedostaci u znanju; navike korisnika u učenju na daljinu; trendovi u učenju na daljinu; poslovno odlučivanje
• Keywords (english): Distance learning; learning management system; communication channel; data warehouse; analyses; knowledge gaps; participant styles in distance learning; trends in distance learning; business intelligence
• Language: croatian
• URN:NBN: urn:nbn:hr:168:436140
• Study programme: Title: Postgraduate master programe in computing; Study programme type: university; Study level: postgraduate; Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-07-16 12:45:47