Development of a Data Mining Education Framework for Data Visualization in Distance Learning Environments

With the increasing interest in developing Learning Analytics tools that can be integrated into the well-known Moodle course management systems nowadays, many tools have already been developed. These tools usually requires the user to know data mining techniques, and also requires time to get mining results from the tools. To address this problem, in this article, we present a structure that uses pre-built data mining through Shiny to quickly obtain results with a focus on visualizing data with graphs, and thus allows the integration of other research, called FMDEV. Guided by the proposed framework, a tool was developed for display the data mining results in a few clicks for Moodle users who wish to have them for day-to-day use and allows users with more experience in data mining to integrate new research. Finally, we used FMDEV tool to generate some experimental results using a set of real-life sample data from undergraduate students. Moodle; Distance Learning; Framework; Educational Data Mining; tools.