Methodology of Predictive Modeling of Students' Behavior in Virtual Learning Environment. Munk, M. & Drlík, M. Methodology of Predictive Modeling of Students' Behavior in Virtual Learning Environment, pages 187-216. Elsevier Inc., 5, 2016.
abstract   bibtex   
The aim of the chapter is to provide a methodology description that can be used in the modeling of a virtual learning environment (VLE) for stakeholders' behavior with reference to time. The presented methodology allows the probability modeling of stakeholders' accesses to the different web parts (activities, e-learning courses, course categories) with reference to time. For this purpose, a multinomial logit model is used. The contribution of the presented methodology consists of data preparation and data modeling. The data preparation is a methodology design and recommendations for acquiring reliable data from the log files of the VLE and in the data modeling, the chapter brings a detailed model description and methodology for modeling stakeholders' behavior with reference to time. Moreover, the description of the possibilities for use of the obtained knowledge may also represent a valuable part of this chapter.
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 abstract = {The aim of the chapter is to provide a methodology description that can be used in the modeling of a virtual learning environment (VLE) for stakeholders' behavior with reference to time. The presented methodology allows the probability modeling of stakeholders' accesses to the different web parts (activities, e-learning courses, course categories) with reference to time. For this purpose, a multinomial logit model is used. The contribution of the presented methodology consists of data preparation and data modeling. The data preparation is a methodology design and recommendations for acquiring reliable data from the log files of the VLE and in the data modeling, the chapter brings a detailed model description and methodology for modeling stakeholders' behavior with reference to time. Moreover, the description of the possibilities for use of the obtained knowledge may also represent a valuable part of this chapter.},
 bibtype = {inBook},
 author = {Munk, M. and Drlík, M.},
 book = {Formative Assessment, Learning Data Analytics and Gamification: In ICT Education}
}
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