Towards a particular prediction system to evaluate student’s success

Abstract

In the last decades, different models have been developed in order to predict student’s success. These models aimed to predict based on previous performance data whether new students will be able to pass the present course. These models have a large potential in adaptive systems where different learning paths can be offered to the learner based on her current progression through the course and comparing with the standard performance of students who have passed the course. In this paper, we describe the design of a prediction system and different models that can be used to help to predict student’s success better. The presented models have particularly designed for an introductory course to learn digital systems design.