Behavioral pattern mining in web based educational system

Paper: Sanda Dragoş, Diana Haliţă, Christian Săcărea, Behavioral pattern mining in web based educational system, The 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2015), pp. 215-219, Split-Bol, Croatia

Abstract: This paper presents a variety of methods that we have used and published along the years in order to investigate users behavioral patterns within e-learning systems. We have used both quantitative and qualitative methods, each offering a different level of insight. In this paper we would like to present how an investigation can benefit from using all of those methods. We start by using quantitative methods that provide us an overall perspective, from which we can focus on specific segments of data that represent points of interest on which we apply qualitative methods that provide a more detailed perspective. Therefore, we begin our evaluation by using web analytics and advance towards the state of the art concept data analysis methods, like Formal Concept Analysis. The investigation has been conducted on a locally developed e-learning platform called PULSE. However, these methods can be applied to any other e-learning platform.

Keywords: Electronic learning, Data mining, Instruments, Navigation, Formal concept analysis, Data visualization, Force

Acknowledgment: Diana Haliță was supported by the Sectoral Operational Programme for Human Resources Development 2007-2013, co-financed by the European Social Fund, under the
project POSDRU/187/1.5/S/155383-”Quality, excellence, transnational mobility in doctoral research”.

Presentation: SOFTCOM 2015: Learning and education methodology Session