A Support System for Recognizing Prior Learning

Adaptive e-learning systems are able to automatically generate personalized learning paths from the students´ profile. Generally, the student profile is updated with information about courses the student has passed and previous work experience. Unfortunately, dealing with courses that students passed in other universities is very difficult, error prone and requires a lot of manual intervention. In addition, the recognition of external courses is a process that all institutions must perform during the access of new students, since it can be greatly useful not only for personalization but also for recognizing the courses the students attended. In this paper, we propose an intelligent system that analyzes the academic record of students in textual format to identify what subjects the students potentially studied in the past and therefore are potentially recognizable. In addition, the proposed system is able to enrich the information the institution has about the students´ background, facilitating the identification of personalized learning paths.