Data Analysis Skills through a Research Cycle in Undergraduate Students

This study, oriented in a statistical research cycle, assesses the data analysis and problem-solving skills acquired by 450 engineering students. Performance level descriptors on descriptive statistics were applied in 168 contextualised scientific initiation works of future engineers. The results show progress in collaborative work and the formulation of conclusions, although areas for improvement are identified, especially in the formulation of hypotheses, data cleaning and interpretation of graphical and statistical measures. The active methodology applied and the feedback from a group of teachers promoted greater motivation, autonomy and competence in the students, although it is necessary to reinforce fundamental aspects of statistics. It is suggested to promote research activities in students, creating problems in coherence with the formulation of questions, the development of hypotheses and data analysis.