EDA explorer data: application of neuroscience to improve student learning outcomes through interest driven learning

The datasets included here consists of survey data and physiological sensors data collected from the study. There are also observational data used to triangulate with the physiological sensors data. This study employed a mixed methods approach to incorporate a STEM interest survey together with physiological data in the form of electrodermal (EDA) data. The data collected were used to analyse and assess interest development within the participants, as well as other factors such as motivation, engagement and affect.