Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher

Rule evaluation measures play an important role in educational data mining. A lot of measures have been proposed in different fields that try to evaluate features of the rules obtained by different types of mining algorithms for association and classification tasks. This paper describes a framework for helping non-expert users such as instructors analyze rule evaluation measures and define new ones. We have carried out several experiments in order to test our framework using datasets from several Cordoba University Moodle courses.