Evaluation of Fuzzy Intelligent Learning Systems

The evaluation of Intelligent Learning Systems yielding complex models as formal representations of student’s behavior is still an open problem. Standards so far do not provide suitable methods for the evaluation of competence. The paper discusses some guidelines according to the APA Standards spirit and apply them to the evaluation of FINANCE, a system derived from NEOCAMPUS2, a long effort project, devoted to coaching and the acceleration of the transfer of novices into experts. Results show its high reliability and important consequential and evidential validity.