A Comparison Between BLEU and METEOR Metrics Used for Assessing Students within an Informatics Discipline Course

This paper is proposing a very brief review of the Intelligent Tutoring System general structure and the use of Natural Language Processing techniques within such system. Also, this paper is proposing a review of the comparison performed by the author between the use of the Natural language Processing metrics, BLEU and METEOR algorithms, for students knowledge assessment module, within an Intelligent Tutoring System developed by the author for teaching, learning and assessing students with applicability to the course of Programming of Computers and C language.