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@inproceedings{820705, author = {Popelínský, Lubomír and Briatková, Mária and Kedaj, Zdeněk}, address = {Reading, England}, booktitle = {Proceedings of the 7th European Conference on eLearning ECEL}, keywords = {data mining; e-learning; classification; visualization}, language = {eng}, location = {Reading, England}, isbn = {978-1-906638-23-8}, pages = {299-303}, publisher = {Academic Conferences Limited}, title = {DZEMUj: A Tool for Mining in e-Learning Tests. Description and Experience}, year = {2008} }
TY - JOUR ID - 820705 AU - Popelínský, Lubomír - Briatková, Mária - Kedaj, Zdeněk PY - 2008 TI - DZEMUj: A Tool for Mining in e-Learning Tests. Description and Experience PB - Academic Conferences Limited CY - Reading, England SN - 9781906638238 KW - data mining KW - e-learning KW - classification KW - visualization N2 - 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. ER -
POPELÍNSKÝ, Lubomír, Mária BRIATKOVÁ a Zdeněk KEDAJ. DZEMUj: A Tool for Mining in e-Learning Tests. Description and Experience. In \textit{Proceedings of the 7th European Conference on eLearning ECEL}. Reading, England: Academic Conferences Limited, 2008, s.~299-303, 4 s. ISBN~978-1-906638-23-8.
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