Models and software of study process data analysis

The models of study process data analysis and statistical software for decision-making support are presented in this paper. The models and software were developed using applied statistics met­hods (descriptive statistics, analysis of variance, nonparametric tests, cluster analysis, correlation and...

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Main Authors: Vytautas Janilionis, Tomas Ruzgas
Format: Article
Language:English
Published: Vilnius University Press 2001-12-01
Series:Lietuvos Matematikos Rinkinys
Online Access:https://www.zurnalai.vu.lt/LMR/article/view/34506
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author Vytautas Janilionis
Tomas Ruzgas
author_facet Vytautas Janilionis
Tomas Ruzgas
author_sort Vytautas Janilionis
collection DOAJ
description The models of study process data analysis and statistical software for decision-making support are presented in this paper. The models and software were developed using applied statistics met­hods (descriptive statistics, analysis of variance, nonparametric tests, cluster analysis, correlation and logistic regression analysis) as well as data warehousing, multidimensional reporting, visua­lisation, object progranuning technologies and software SAS. The developed system is used for the analysis of study process data of Kaunas University of Technology. It enables to analyse the relationships and dependencies between various factors (e.g. study areas, faculties, study modules groups, form of studies, credits, weighted averages of the exams grades, grades of study modules or their groups etc.) and use the results for the effective decision-making.
format Article
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institution Kabale University
issn 0132-2818
2335-898X
language English
publishDate 2001-12-01
publisher Vilnius University Press
record_format Article
series Lietuvos Matematikos Rinkinys
spelling doaj-art-04c92b5bc3704924a4506cc2cbc081272025-02-11T18:14:30ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2001-12-0141spec.10.15388/LMR.2001.34506Models and software of study process data analysisVytautas Janilionis0Tomas Ruzgas1Kaunas University of TechnologyKaunas University of Technology The models of study process data analysis and statistical software for decision-making support are presented in this paper. The models and software were developed using applied statistics met­hods (descriptive statistics, analysis of variance, nonparametric tests, cluster analysis, correlation and logistic regression analysis) as well as data warehousing, multidimensional reporting, visua­lisation, object progranuning technologies and software SAS. The developed system is used for the analysis of study process data of Kaunas University of Technology. It enables to analyse the relationships and dependencies between various factors (e.g. study areas, faculties, study modules groups, form of studies, credits, weighted averages of the exams grades, grades of study modules or their groups etc.) and use the results for the effective decision-making. https://www.zurnalai.vu.lt/LMR/article/view/34506
spellingShingle Vytautas Janilionis
Tomas Ruzgas
Models and software of study process data analysis
Lietuvos Matematikos Rinkinys
title Models and software of study process data analysis
title_full Models and software of study process data analysis
title_fullStr Models and software of study process data analysis
title_full_unstemmed Models and software of study process data analysis
title_short Models and software of study process data analysis
title_sort models and software of study process data analysis
url https://www.zurnalai.vu.lt/LMR/article/view/34506
work_keys_str_mv AT vytautasjanilionis modelsandsoftwareofstudyprocessdataanalysis
AT tomasruzgas modelsandsoftwareofstudyprocessdataanalysis