Teaching students to use Decision trees (Dt) for unstructured data

The research aims to analyze the importance of teaching use unstructured data methods that students generate from learning activities and examine relative efficiency decision trees within load conditions self-efficacy each learner. present collected using a questionnaire cognitive among students. sample included 150 divided into two groups. revealed no significant differences in between groups participants (F = 0.01, p> 0.05). According results, were identified who worked with those analyzed association rules. uses an independent t-test for analysis academic environment. No detected concerning participants. Keywords: data, trees, rules, self-efficacy, load, SDGs.