ALEEDSA (Augmented LEarning Data Science App) is a system to perform collaborative and interactive data science education with augmented reality. ALEEDSA promotes collaborative learning of data science through an interactive experience to pairs of students, who need to solve data science problems with a focus on machine learning model interpretability.
ALEEDSA (Augmented LEarning Experience Data Science App)1 is a system promoting a collaborative and interactive data science experience with immersive augmented reality. Using ALEEDSA, pairs of students collaborate to solve a real-world data science problem with a focus on machine learning model interpretability.
ALEEDSA comprises both classical interfaces (i.e., laptops) and augmented reality devices (Microsoft HoloLens). During its immersive experience students face some of the typical challenges of data science projects in the practice. They solve a sequence of exercises of increasing complexity, and they are provided with live feedback of their performance. ALEEDSA is designed to promote active collaboration and situated learning: students share and manipulate 3D holograms in real-time and interact with selected elements in the physical space.
ALEEDSA can be used to design learning environments for data science education that make use of immersive technologies. It supports the development of interdisciplinary skills that can be used by the students in their future professional endeavours. In particular, it is designed with a focus on the collaboration of students with different educational backgrounds and approaches to the complexity of real-world data science
problems.
In an ALEEDSA early user study, 67% of the subjects reported that interactive visualizations in augmented reality enable a better understanding of data; moreover 86% of participants argued that augmented reality can support machine learning activities for non-experts. In 2021, ALEEDSA will be embedded into existing data science lectures at the department of Management, Technology and Economics (MTEC) at ETH.
