An Automated Stable Personalised Partner Selection for Collaborative Privacy Education
Paper Title: An Automated Stable Personalised Partner Selection for Collaborative Privacy Education Authors: Evans Girard1, Rita Yusri1, Adel Abusitta2 and Esma Aïmeur1, 1University of Montreal, Canada, 2McGill University, Canada Abstract: E-learning platforms have never been as in-demand as they are now since the recent pandemic making privacy education more important than ever. However, for the most part, these platforms are single-user learning environments and lack student-student interactions. To overcome this deficiency, we propose a collaborative e-learning platform for privacy education that matches students in a stable and automatic manner according to students’ preferences. Each student is represented by a vector profile that is created from behavioural skills and academic knowledge obtained from the platform. Once the preferences are determined, the residents-hospitals matching algorithm is applied to select students who will collaborate with one another. Ex...
