Aplicación de técnicas de minería de datos para diseñar un modelo descriptivo de la labor tutorial en las asignaturas de formación básica de modalidad a distancia

Abstract

Abstract: In order to develop a descriptive model about the tutorial work of the open and distance education teacher of the UTPL, this project applies data mining techniques such as: k-means and analysis of main components within the tool R, Using the CRISP-MD methodology; The data used for the analysis are based on quantitative results obtained from activities in the virtual learning environment (EVA) such as: forums, chats, video conferences, and quiz; Of the basic training subjects of methodology of learning, spiritual development and oral and written expression within the periods of October-2014/Feb-2015 and Apr-2015/Aug-2015. As a result, the main component analysis technique is the most optimal for data work, which allows defining 3 main components with discussion, query and communication tags, which contain the actions in which the students perform Greater activity within the EVA.