Learning analytics dashboard para apoyar la enseñanza de la programación en educación a distancia

Abstract

When teaching programming in a blended or distance learning mode, the face to face interactions that help teachers identify students' aptitudes or problems in the subject decrease or, in some cases, may be non-existent. As a result, students' learning may be deficient. The objective of this study is to support teachers in identifying students who are struggling with the subject. Therefore, through a Learning Analytics process, mechanisms were defined and created to collect student performance metrics. These metrics are displayed on a dashboard using Data Visualization techniques to bridge this interaction gap. For the research, a quasi-experimental design was implemented, applying the interview technique to obtain qualitative data. The results show the effectiveness of the tool in identifying students who are having difficulties with the subject, as well as the topics that need to be reinforced generally.