EFFECTIVENESS OF STUDENT MODELING WITH DECISION TREES IN SUPPORT OF TEACHER PLANNING

Abstract

The objective of this work was to design and execute a technological tool that supports the management and planning of the activities carried out in the classrooms by the teacher, through a stage of research, development of a decision tree and finally tests and analysis of results. With this, a comparison of the results of the use of the software versus the empirical knowledge of the teacher was made, achieving high levels of effectiveness of the use of the decision tree technique for the knowledge and modeling of the student, in order to favor the diagnosis of the course. Finally, Artificial Intelligence techniques can be an important support for the understanding of teaching-learning processes.