The COVID-19 pandemic significantly disrupted traditional face-to-face teaching worldwide and forced education institutions to adopt new, online teaching formats to enable students to continue with their studies. This research focuses on students’ perceptions of three teaching different modalities: face-to-face (F2F), Emergency Remote Teaching (ERT) and Smart Classroom (SC), which were implemented in response to the restrictions enforced to combat the spread of COVID-19. A qualitative study based on two user experience techniques, Pocket Bipolar Laddering and Emotional Appraisal, was carried out on a group of second-year ICT engineering university students at La Salle Campus Barcelona. The former technique consists in identifying a maximum of three positive and three negative salient items, while the latter is intended to rate pairs of opposite feelings. In the SC format, saving time on travel to university was considered an advantage of online learning, while disadvantages included less effective instructor–student interaction, distractions when off-campus and teamwork issues. These shortcomings can be addressed by specific online teaching training to develop a more active form of learning and foment student participation. However, both ERT and SC modalities were considered effective solutions to cope with the social and mobility restrictions imposed during the pandemic.

Poultry meat is the world’s primary source of animal protein due to low cost and is widely eaten at a global level. However, intensive production is required to supply the demand although it generates stress to animals and welfare problems, which have to be reduced or eradicated for the better health of birds. In this study, bird welfare is measured by certain indicators: CO₂, temperature, humidity, weight, deaths, food, and water intake. Additionally, we approach an acoustic analysis of bird vocalisations as a possible metric to add to the aforementioned parameters. For this purpose, an acoustic recording and analysis of an entire production cycle of an intensive broiler Ross 308 poultry farm in the Mediterranean area was performed. The acoustic dataset generated was processed to obtain the Equivalent Level ($L_{eq}$), the mean Peak Frequency (PF), and the PF variation, every 30 min. This acoustical analysis aims to evaluate the relation between traditional indicators (death, weight, and CO₂) as well as acoustical metrics (equivalent level impact ($L_{eq}$) and Peak Frequency) of a complete intensive production cycle. As a result, relation between CO₂ and humidity versus $L_{eq}$ was found, as well as decreases in vocalisation when the intake of food and water was large.

This research examines the form in which undergraduates use video cameras during videoconferencing class sessions in a Smart Classroom context and, more specifically, the reasons why a considerable number of students opt to turn off their cameras when videoconferencing during the sessions while others keep them on. The study was carried out in an institution that had previously switched from face-to-face teaching to an Emergency Remote Teaching solution, initially adopted in 2019–2020 to cope with the COVID-19 pandemic restrictions. Findings suggest that using cameras when videoconferencing is associated with increasing and enhancing the interaction between the student and the rest of the class, although not all students agreed with this conclusion. In addition, having the video cameras switched fomented socialization and improved the overall online learning experience for students. However, the surveyed students pointed out diverse negative elements, such as why they had to turn on their personal cameras, privacy concerns, and limitations derived from the available technology infrastructure, in addition to other factors such as distractions, anxiety, and cognitive load. This work discusses how these elements can influence the well-being and the user experience of the students, both positively and negatively.

The digital maturity of universities has been a key element in coping with the forced situation brought about by COVID-19 and in subsequent years. This research paper presents a case study of a private Spanish university that aims to analyze the challenges and opportunities that have arisen after the pandemic in terms of resource management and training for teaching innovation and digitization. The nature of this study is qualitative, in which nine interviews were conducted with managers from different faculties and those responsible for Information and Communication Technologies. After analyzing the data with Atlas.ti, four categories were established (technological resources and devices, challenges, opportunities, and others). The study concludes by discussing the commitment to online training, the popularization of videoconferencing tools for teaching sessions, meetings, or synchronous tutorials, and the acceleration of digital transformation, among others.

An artificial vision system for vehicles is proposed in this article to alert drivers of potential head on collisions. It is capable of detecting any type of frontal collision from any type of obstacle that may present itself in a vehiclepsilas path. The system operates based on a sequence of algorithms whose images are recorded on a camera located in the moving vehicle, resulting in the calculation of Time-to-Contact taken from an analysis of the optical flow, which allows the vehiclepsilas movement to be studied from a sequence of images.