Identification of fuzzy models to predict students performance in an e-learning environment

摘要: Nowadays, e-learning systems such as virtual campus environments have established themselves a strong alternative to traditional distance education. In turn, the Internet allows gathering of information on many aspects students' online behavior in nearly real time. The knowledge extracted from this can be used discover learning and usability patterns courses, well anticipate future related with teaching-learning process. brief study we use Fuzzy Inductive Reasoning methodology predict final mark users determine relevant features involved evaluation Experiments carried out available data indicate that predicted low error number identified is small, reducing considerably complexity process minimizing teachers' workload.