A Learning Analytics Dashboard for Moodle: Implementing Machine Learning Techniques to Early Detect Students at Risk of Failure

Learning Analytics Dashboards are important tools that help professors to follow and understand students behavior inside Learning Management Systems. Moodle is one of the most popular and used Learning Management Systems available nowadays, and a number of initiatives have been conducted to offer Learning Analytics features inside it. The present paper describes MAD2, a Learning Analytics Dashboard developed for Moodle that offers different visualizations about students interactions inside the environment, and that uses machine learning techniques to early predict students at-risk of failure. The paper describes the predictive approach implemented inside the tool together with the most important visualization features available to the users. The offering of a tool to early predict students at-risk of failure inside Moodle is an important step to help professors and managers to better assist students during their courses.