LDE-CEL science speaker: Olga Viberg Associate Professor EECS - School of Electrical Engineering and Computer Science
Title: Designing Culturally Aware Learning Analytics for Improved Learning at Scale
Abstract: Learning analytics (LA) have been implemented in different countries with the purpose of improving learning and supporting teaching; yet, largely at a limited scale and so far with limited evidence of achieving their purpose. Even though some solutions are promising, their transfer from one country to another might prove challenging and sometimes impossible due to various technical, social, contextual and cultural factors. In this talk, we will argue for the importance of addressing stakeholders’ cultural values, which have been underexplored by the LA community, when designing and implementing LA services. Viewing culture from a value-sensitive perspective, the impact of individuals’ cultural values on the design and evaluation of LA systems as well as on the stakeholders’ privacy concerns in LA will be exemplified, based on the results of our recent research efforts. Finally, a set of design implications for culturally aware and value-sensitive learning analytics services and related future research directions will be presented.