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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Format: | Article |
Language: | English |
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Vilnius University Press
2001-12-01
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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.
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format | Article |
id | doaj-art-04c92b5bc3704924a4506cc2cbc08127 |
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 |