A learning analytics tool for supporting teacher decision

E-learning systems nowadays face the challenge of keeping up with a diverse set of users with different learning needs and abilities. In order to provide better insights to the teacher we must develop more efficient tutoring systems that can process the large amount of data generated from the student interaction with the system. So far traditional analysis took into consideration structured data to provide feedback to the tutor. Data analytics, by examining patterns and correlations, try to transform data in a way that can be used for decision making. Similarly learning analytics analyze educational data obtained from student interaction with the system. Learning analytics can be of great benefit to Intelligent Tutoring Systems (ITSs). In this paper we propose an analytics tool that gathers information from the student interaction with the system and feeds them to a search engine in order to provide better insights to the tutor.