Characterization of algorithm learning through data mining in the higher level.

Abstract

This research focuses on the development of a learning characterization model for university students in the programming area, based on a cognitive level taxonomy of (Marzano, R. J., 2001). A compilation of questionnaire responses obtained from the students was carried out for data treatment and analysis; in this way, obtain the necessary information and characterize the student's learning, identifying their strengths and weaknesses. After performing tests, 5 groupings were obtained that represent the cognitive levels, where 29% represent the largest population in the first level and 13% are in the second level as the smallest population.