Assessing undergraduate students’ perceptions of distance learning during the COVID-19 pandemic

The Covid-19 pandemic has changed the characteristics of university teaching-learning practices marking the transition from face to face to on-line activities by means of digital platforms. This digitization process has produced several effects on students’ habits and learning ability. Within this scenario, aim of the contribution is to assess the student perception of the distance learning experience by adopting a network analysis approach. A network of adjectives is obtained from Semantic Differential scales and links are defined as a function of the most frequent polarized items co-occurences. The network core allows to identify the most important adjectives describing the students’ e-learning perception.