The paper “Towards Caring for Digital Wellbeing with the Support of Learning Analytics”, written by Eyad Hakami, Khadija El Aadmi, Davinia Hernández-Leo, Patricia Santos, Ainhoa Álvarez, Manuel Caeiro-Rodríguez, Ruth Cobos, Miguel Ángel Conde, Yannis Dimitriadis, Ángel Hernández-García, Alejandra Martínez-Monés, Pedro J. Muñoz-Merino, Teresa Sancho and Andrea Vázquez-Ingelmo has been published and can be consulted at:

Abstract: This article describes three studies that looked into the impact of learning technologies on wellbeing, as well as the role that Learning Analytics can play in measuring and enhancing such an impact. To begin, ten Spanish researchers used the IEEE P7010 wellbeing metrics to analyse their products’ wellbeing impact. They also responded to pre- and post-surveys to assess the exercise’s impact on their ability to unlock the potential of their tools to promote wellbeing. Then 68 Saudi teachers participated in an online session and completed a survey regarding one of the technologies under investigation. Finally, the researchers participated in a co-design workshop to propose learning analytics scenarios for quantifying the impact on certain aspects of wellbeing. Despite the different contexts, goals, and users of the tools explored in this paper, possible impacts across the full spectrum of wellbeing were identified. We argue that using Learning Analytics can considerably help in quantifying the measurement of wellbeing elements both within and outside of learning settings, allowing the wellbeing impact to be constantly reviewed and enhanced.