In this study, we conducted a thematic analysis of the views and perspectives of university students about online learning, specifically regarding their interpretations and experiences of the transition from traditional face-to-face courses to online teaching during the COVID-19 pandemic. The sample included 209 undergraduate and postgraduate students who were invited to complete five tasks, i.e., a free association task, answering open questions about the advantages and disadvantages of online learning, providing suggestions for improving online learning, and sharing a personal experience lived during this period. Some of the main themes extracted from the data refer to the negative aspects of online learning mentioned by participants in relation to its disadvantages, such as health and psychosocial problems (e.g., stress, anxiety, decreased motivation, isolation/loneliness, and apathy) and learning process problems (e.g., misunderstandings, a lack of feedback, additional academical requirements, a lack of challenge, and disengagement). Other recurrent themes refer to the positive aspects of online learning associated with its benefits: comfort and accessibility, economy (saving time and money), and psychological and medical safety. The personal experiences during COVID-19 shared by our respondents were organised around four main themes (positive, negative, ambivalent, and transformative experiences) related to students’ adaptation to the educational context generated by the pandemic. Based on these findings, practical recommendations for universities and researchers are discussed.

In the present study, a short instrument (eight-item self-report, five-point Likert scales) was developed and validated to assess self-perceived mental health problems in online learning. The participants were 398 Romanian university students from nine different faculties. The factor structure of the scale was assessed using Exploratory Factor Analysis (Principal Axis Factoring extraction method) and Confirmatory Factor Analysis. The high goodness-of-fit indices validated a second-order factor model of mental health problems, with two distinct but correlated sub-constructs, psychological distress, and online academic difficulties, integrated under a single higher-level factor. Psychological distress comprises indicators such as anxiety and stress, while online academic difficulties contain, for instance, indicators such as decreased performance, fatigue or lack of motivation. The results of applying multiple assessment criteria showed good reliability (e.g., McDonald’s omega), as well as convergent validity (e.g., Average Variance Extracted) and discriminant validity (e.g., the heterotrait–monotrait ratio of correlations) of the scale. Also, correlations analysis between mental health problems occurred in online learning context and other measures indicated a strong negative relation with online course satisfaction and weak negative relations with subjective academic performance, perceived social competence, and perceived digital competence. In conclusion, the scale appears to be a valid instrument for measuring some negative mental health outcomes in online learning, perceived by university students. The implications of the results and limitations of this study are also discussed. In conclusion, the scale has multiple possible applications, the most important being (1) the assessment of mental health problems both in ordinary online learning situations and in emergency ones, which would allow the early detection of these issues, (2) the possibility of assessing relations between the sub-constructs of the scale and other psychological constructs of interest in scientific research, and (3) the feedback for teaching staff involved in the online learning system.