BRIATKOVÁ, Mária, Zdeněk KEDAJ and Lubomír POPELÍNSKÝ. DŽEMUj - dobývání znalostí z odpovědníků IS MU (DŽEMUj - data mining in electronic tests in IS MU). In Sborník konference SCO 2008. Brno: PřF MU. 6 pp. ISBN 978-80-210-4613-9. 2008.
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Basic information
Original name DŽEMUj - dobývání znalostí z odpovědníků IS MU
Name (in English) DŽEMUj - data mining in electronic tests in IS MU
Authors BRIATKOVÁ, Mária (203 Czech Republic), Zdeněk KEDAJ (203 Czech Republic) and Lubomír POPELÍNSKÝ (203 Czech Republic, guarantor).
Edition Brno, Sborník konference SCO 2008, 6 pp. 2008.
Publisher PřF MU
Other information
Original language Czech
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/08:00035056
Organization unit Faculty of Informatics
ISBN 978-80-210-4613-9
Keywords in English e-learning; electronic tests; machine learning; visualization
Tags e-learning, electronic tests, machine learning, visualization
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 16/2/2009 23:55.
Abstract
We introduce DZEMUj, a system for mining in e-learning data, namely in electronic tests and DIA, DZEMUj Intelligent Assistant. DZEMUj farther extends capabilities of the elearning module of the Information system of Masaryk University and offers a set of tools for data analysis. DZEMUj enables to find the most difficult and/or the easiest test queries, to discover associations between answers and also between behaviour of students. We shortly describe data preparation, namely data transformation and data pre-processing. Then we focus on knowledge discovery and knowledge visualization - a scatter plot, RadViz and frequent patterns. DZEMUj has been testing on data from the e-learning module of Information System of Masaryk University since January 2008. DZEMUj is quite efficient. For 507 students, 80 different questions, 10 questions in a student test, the analysis finished in less then 1 minute. DZEMUj is implemented in python, java and R. We conclude this part with evaluation of DZEMUj. Then DIA, an intelligent assistant for DZEMUj is described.
Abstract (in English)
We introduce DZEMUj, a system for mining in e-learning data, namely in electronic tests and DIA, DZEMUj Intelligent Assistant. DZEMUj farther extends capabilities of the elearning module of the Information system of Masaryk University and offers a set of tools for data analysis. DZEMUj enables to find the most difficult and/or the easiest test queries, to discover associations between answers and also between behaviour of students. We shortly describe data preparation, namely data transformation and data pre-processing. Then we focus on knowledge discovery and knowledge visualization - a scatter plot, RadViz and frequent patterns. DZEMUj has been testing on data from the e-learning module of Information System of Masaryk University since January 2008. DZEMUj is quite efficient. For 507 students, 80 different questions, 10 questions in a student test, the analysis finished in less then 1 minute. DZEMUj is implemented in python, java and R. We conclude this part with evaluation of DZEMUj. Then DIA, an intelligent assistant for DZEMUj is described.
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