Data2U: scalable real time student feedback in active learning environments

Abstract

The majority of applications and products that use learning analytics to understand and improve learning experiences assume the creation of actionable items that will affect students through an intermediary. Much less focus is devoted to exploring how to provide insight directly to students. Furthermore, student engagement has always been a relevant aspect to increase the quality of a learning experience. Learning analytics techniques can be used to provide real-time insight tightly integrated with the learning outcomes directly to the students. This paper describes a case study deployed in a first year engineering course using a flipped learning strategy to explore the behavior of students interacting with a dashboard updated in real time providing indicators of their engagement with the course activities. The results show different patterns of use and their evolution throughout the experience and shed some light on how students perceived this resource.