Analyzing self-reflection by Computer Science students to identify bad study habits: Self-reflection performed by students of programming courses on the study habits and skills acquired through b-learning supported by an automatic judge

We present some preliminary results and the main conclusions of a study that we conducted at the University of Algarve, for one of the programming courses in the first year of the Computer Science degree at the University of Algarve. We analyzed the self-reflections made by the students about their study habits and about the skills they acquired in the course. This particular course uses a methodology of blended-learning supported by an automatic judge. The research data were obtained through questionnaires that were distributed and collected during the period of study between the end of classes and the exam. We took into account data from other instruments related to previous work carried out by students, in this course and in previous courses, as well as the performance of the students. We intended to ascertain to what extent the planning, motivation, previous study or knowledge about the type of examination influenced final results. The results suggest measures to be implemented in future editions of the course.