FuzzyQoI-Based Estimation of the Quality of Interaction in Online Learning Amid Covid-19: A Greek Case-Study

In the beginning of 2020, the coronavirus (Covid-19) pandemic has raised significant challenges for the Higher Education Institutions (HEIs) worldwide. Due to Covid-19 outbreak, HEIs were forced to close due to social lockdown, placing online teaching-learning environments/modalities to the foreground of the educational settings. In an effort to examine how this ‘new normal’ has affected users’ Quality of Interaction (QoI) within the Learning Management System (LMS) Moodle, a modeling approach based on fuzzy logic (FuzzyQoI), was used here and applied to LMS Moodle data, drawn from an undergraduate discipline, offered by a public Greek HEI during the Covid-19 period. The results have shown the ability of the FuzzyQoI model to express the time-depended dynamics of the users’ QoI and associate it with the societal effects of Covid-19. Clearly, these findings shed light upon the way users interact with a LMS online learning when societal disruptors, such as Covid-19, come in to play, informing HEIs’ policy makers for monitoring and re-examining online (teaching-learning) practices.