Michal Munk|Martin Drlík|?ubomír Benko|Jaroslav Reichel
Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques
Constantine the Philosopher University in Nitra|ORCID|Constantine the Philosopher University in Nitra|University of Pardubice|Constantine the Philosopher University in Nitra
educational data preprocessing log files represents timeconsuming phase knowledge discovery process consists data cleaning user identification session identification path completion phase paper attempts identify phases necessary case preprocessing educational data application learning analytics methods since sequential patterns analysis considered suitable estimating discovered knowledge paper tries answering question preprocessing phases significant impact discovered knowledge general well meaning quality quantity found sequence patterns therefore several data preprocessing techniques session identification path completion applied prepare log files different levels data preprocessing results showed session identification technique using reference length calculated sitemap significant impact quality extracted sequence rules path completion technique significant impact quantity extracted sequence rules found results together results previous systematic research educational data preprocessing improve automation educational data preprocessing phase well contribute development learning analytics tools suitable different groups stakeholders engaged educational data mining research activities