Automatic Classification Method for Academic Characterization of Computer Programming Students

Computer programming is a fundamental subject that lays down conceptual basis and tends to develop important abilities for the student's software development path. Nevertheless, in a computer programming course there are several obstacles that prevent students from committing and take computer programming as a professional future or even as a useful tool, this is evidenced in the lack of motivation to learn coding. The difficulties that arise in computer programming's learning process together with the high demand for software developers, highlight the importance to trace the critical fact that influences student's performance and lay down strategies that allow us to improve the possibilities for each student in his learning process. Automatic classification methods are proposed to find patterns to relate personal features with computer programming performance.