Data mining-based approach to designing a model for self-evolving leadership of school principals

The importance and need to evaluate the self-development of leadership among managers for the conscious development of skills, self-direction, guidance and control of leadership by many researchers. There are a lot of data and information related to the self-assessment of the leadership of the schools in schools that are unused. In this paper, in order to design a model for leadership development of school principals using the decision tree technology, firstly, the factors of tendency to self-control of leadership in school principals were surveyed by experts from two motivational perspectives and self-regulatory skills, and weights of criteria were calculated. Then, the degree of self-development was calculated for 335 school principals in Isfahan province. Finally, using the QUEST, CHAID, C5.0 and CART algorithms, there are some rules for the self-improvement of the leadership of school principals. Findings of this research show that the tendency to self-development of leadership in school principals is a priority in terms of motivation. The results of this research provide a field of knowledge that can be applied to them.