University Students’ Perception, Evaluation, and Spaces of Distance Learning during the COVID-19 Pandemic in Austria: What Can We Learn for Post-Pandemic Educational Futures?

A comprehensive review of the environmental benefits of urban green spaces

This detailed analysis highlights the numerous environmental benefits provided by urban green spaces, emphasizing their critical role in improving urban life quality and advancing sustainable development. The review delves into critical themes such as the impact of urban green spaces on human health, the complex interplay between urban ecology and sustainability, and the evaluation of ecosystem services using a comprehensive review of existing literature. The investigation thoroughly examines various aspects of green infrastructure, shedding light on its contributions to social cohesion, human well-being, and environmental sustainability in general. The analysis summarizes the study's findings and demonstrates the critical role of urban green spaces in urban ecology, which significantly mitigates environmental challenges. The intricate links between these green spaces and human health are thoroughly investigated, with benefits ranging from enhanced mental and physical well-being to comprehensive mental health. Furthermore, the analysis emphasizes how green spaces benefit urban development by increasing property values, boosting tourism, and creating job opportunities. The discussion also considers possible futures, emphasizing the integration of technology, the advancement of natural solutions, and the critical importance of prioritizing health and well-being in the design of urban green spaces. To ensure that urban green spaces are developed and maintained as essential components of resilient and sustainable urban environments, the assessment concludes with practical recommendations for communities, urban planners, and legislators.

Campus source to sink wastewater surveillance of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)

Wastewater-based surveillance (WBS) offers an aggregate, and cost-effective approach for tracking infectious disease outbreak prevalence within communities, that provides data on community health complementary to individual clinical testing. This study reports on a 16-month WBS initiative on a university campus in England, UK, assessing the presence of SARS-CoV-2 in sewers from large buildings, downstream sewer locations, raw wastewater, partially treated and treated effluents. Key findings include the detection of the Alpha (B.1.1.7) variant in wastewater, with 70 % of confirmed campus cases correlating with positive wastewater samples. Notably, ammonium nitrogen (NH4-N) levels showed a positive correlation (ρ = 0.543, p < 0.01) with virus levels at the large building scale, a relationship not observed at the sewer or wastewater treatment works (WWTW) levels due to dilution. The WWTW was compliant to wastewater standards, but the secondary treatment processes were not efficient for virus removal as SARS-CoV-2 was consistently detected in treated discharges. Tools developed through WBS can also be used to enhance traditional environmental monitoring of aquatic systems. This study provides a detailed source-to-sink evaluation, emphasizing the critical need for the widespread application and improvement of WBS. It showcases WBS utility and reinforces the ongoing challenges posed by viruses to receiving water quality.

School students' burdens and resources after 2 years of COVID-19 in Austria: a qualitative study using content analysis

Introduction

The mental health of young people has been severely affected by the COVID-19 pandemic and the measures associated with it. Mental health symptoms increased across various domains during the pandemic and subjective wellbeing decreased.

Methods

This study examined the burdens and resources of Austrian school students (M = 16.63 years old) in the third year of the pandemic and compared them descriptively with the burdens and resources identified in a comparative study in 2021. A cross-sectional online survey with open-ended questions from April to May 2022 provided data that was analyzed using qualitative content analysis. A sub-sample of N = 214 was selected from the larger sample. This sub-sample is representative for the Austrian population aged 15-19 in terms of gender and migrant background.

Results

Analysis of the open-ended questions showed that concerns about the pandemic and the burdens of the measures were no longer on young people's minds at the time of the survey in 2022. On the other hand, stress at school was increasing and the opening of schools and the resumption of face-to-face teaching were challenging for respondents. While resuming social contacts and leisure activities was mentioned as a resource by many respondents, some also expressed a desire for more time off and a retreat into coping strategies such as sleeping more or avoiding problems.

Discussion

Our findings suggest that there is a need for low-threshold support from teachers and parents to help students catch up on missed lessons and to empathize with the mas they make the transition back to "old normal".

Well-Being, Mental Health, and Study Characteristics of Medical Students before and during the Pandemic

Medical students report high demands, stressors, pressure to perform, and a lack of resources, and are therefore at a higher risk for mental strain and burnout. Due to the COVID-19 pandemic, study conditions have changed, and new challenges have emerged. Thus, this study aimed to examine medical students' well-being, mental health, and study characteristics before and during the pandemic. Data from 988 Austrian medical students were included into the cross-sectional comparisons, and 63 students were included into the longitudinal analyses (variance analyses/t-tests or appropriate non-parametric tests). Well-being before and during the pandemic did not differ significantly but the peri-pandemic cohort reported higher study satisfaction, more social support from lecturers, and less emotional exhaustion, cognitive demands, and stressors (information problems, organizational stressors, work overload). Longitudinally, work overload was also perceived to be higher before the pandemic; however, study satisfaction was lower. During the pandemic, approximately every seventh student exceeded the cut-off value for generalized anxiety disorder, and approximately every tenth student exceeded the cut-off value for major depression. These unexpected peri-pandemic results concerning constant high well-being, study satisfaction, and the perception of conditions may be based on response shift effects that require further exploration. The scores exceeding the reasonable cut-point for identifying probable cases of generalized anxiety disorder and depression may reflect medical students' needs, calling for an in-depth analysis if further health promotion is necessary.

Understanding the utility of "Talk-to-Me" an online suicide prevention program for Australian university students

BACKGROUND

Australian university students are at risk of experiencing poor mental health, being vulnerable to self-harm and suicidal ideation.

AIM

"Talk-to-Me" is a suicide ideation prevention Massive open online course (MOOC) previously showing it can support Western Australian university students' knowledge of identifying and responding to suicide ideation in themselves and others.

METHODS

A multi-site one-group pre-test/post-test design with a 12-week follow-up explored the efficacy of "Talk-to-Me" for university students Australia-wide, evaluating the influence of COVID-19 and location. Overall, 217 students (55% female; mage  = 24.93 years [18, 60]) enrolled in this study from 2020 to 2021. Participants' responses to suicidal statements, mental health literacy, generalized self-efficacy, help-seeking behavior, and overall utility of the program were collected at baseline, post-MOOC (10 weeks from baseline) and 12-week follow-up. The effect of time and location interaction was explored using a random-effects regression model.

RESULTS

Findings indicated significant improvement in participants' knowledge of positive mental health support strategies (ES = 0.42, p < 0.001) and recognizing appropriate responses to suicidal statements (ES = 0.37, p < 0.001) at 10-weeks, with further improvement at 12 weeks follow-up (ES = 0.47 and 0.46, p < 0.001). Students reported higher generalized self-efficacy at the 12-week follow-up compared to baseline (ES = 0.19, p = 0.03) and an increased tendency to seek professional help for mental health issues (ES = 0.22, p = 0.02).

CONCLUSION

These findings provide preliminary evidence of the efficacy of the "Talk-to-Me" program in supporting ‎university students across Australia to increase their suicide-related knowledge and skills, ‎general self-efficacy, and overall mental fitness.

Undergraduate Skills Training in Pandemic Times: Where Is the Future of Medical Education?

BACKGROUND

The COVID-19 pandemic forced medical programs to rapidly switch to remote teaching from scratch, impacting hands-on skills training. This study compared the efficacy of a hybrid online format to a regular in-person session for a mandatory surgical skills class.

METHODS

Third-year undergraduate medical students attending the surgical skills class in the winter semester of 2020/21 at the Medical University of Graz were randomly assigned to either the hybrid or in-person class, depending on their course schedule and government regulations. The hybrid class involved online videos, one-on-one peer tutoring, and an Objective Structured Clinical Examination (OSCE). Pre- and post-class self-assessments were conducted to evaluate their theoretical and practical knowledge of a single interrupted suture.

RESULTS

The study included 85 students in the regular in-person class and 50 in the hybrid class. A pre-class assessment revealed higher self-assessments in the hybrid class for theoretical and practical knowledge, but a post-class assessment showed no significant difference. The advantages and disadvantages of both modalities were identified, providing valuable insights for future curriculum development.

CONCLUSIONS

Both teaching modes were effective for undergraduate surgical skills training. This study recommends implementing positive aspects of both the hybrid and in-person formats while recognizing their respective limitations.

Multilevel IRT models for the analysis of satisfaction for distance learning during the Covid-19 pandemic

The Covid-19 pandemic played a relevant role in the diffusion of distance learning alternatives to "traditional" learning based on classroom activities, to allow university students to continue attending lessons during the most severe phases of the pandemic. In such a context, investigating the students' perspective on distance learning provides useful information to stakeholders to improve effective educational strategies, which could be useful also after the end of the emergency to favor the digital transformation in the higher educational setting. Here we focus on the satisfaction in distance learning for Italian university students. We rely on data comprising students enrolled in various Italian universities, which were inquired about several aspects related to learning distance. We explicitly take into account the hierarchical nature of data (i.e., students nested in universities) and the latent nature of the variable of interest (i.e., students' learning satisfaction) through a multilevel Item Response Theory model with students' and universities' covariates. As the main results of our study, we find out that distance learning satisfaction of students: (i) depends on the University where they study; (ii) is affected by some students' socio-demographic characteristics, among which psychological factors related to Covid-19; (iii) is affected by some observable university characteristics.

The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics

The declaration of the COVID-19 pandemic forced humanity to rethink how we teach and learn. The metaverse, a 3D digital space mixed with the real world and the virtual world, has been heralded as a trend of future education with great potential. However, as an emerging item, rarely did the existing study discuss the metaverse from the perspective of education. In this paper, we first introduce the visions of the metaverse, including its origin, definitions, and shared features. Then, the metaverse in education is clearly defined, and a detailed framework of the metaverse in education is proposed, along with in-depth discussions of its features. In addition, four potential applications of the metaverse in education are described with reasons and cases: blended learning, language learning, competence-based education, and inclusive education. Moreover, challenges of the metaverse for educational purposes are also presented. Finally, a range of research topics related to the metaverse in education is proposed for future studies. We hope that, via this research paper, researchers with both computer science and educational technology backgrounds could have a clear vision of the metaverse in education and provide a stepping stone for future studies. We also expect more researchers interested in this topic can commence their studies inspired by this paper.

A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education

A long tradition of analysing ordinal response data deals with parametric models, which started with the seminal approach of cumulative models. When data are collected by means of Likert scale survey questions in which several scored items measure one or more latent traits, one of the sore topics is how to deal with the ordered categories. A stacked ensemble (or hybrid) model is introduced in the proposal to tackle the limitations of summing up the items. In particular, multiple items responses are synthesised into a single meta-item, defined via a joint data reduction approach; the meta-item is then modelled according to regression approaches for ordered polytomous variables accounting for potential scaling effects. Finally, a recursive partitioning method yielding trees provides automatic variable selection. The performance of the method is evaluated empirically by using a survey on Distance Learning perception.

School Students’ Concerns and Support after One Year of COVID-19 in Austria: A Qualitative Study Using Content Analysis

Adolescents suffer severely from the psychological consequences of the COVID-19 pandemic. Using qualitative content analysis, this study examined open-ended responses to a survey on the mental health of school students in Austria in February 2021. A representative sample (n = 214) was drawn from a total survey sample of 3052 adolescents aged 14–20. The analysis revealed several areas of concern, including school-related concerns, concerns about restrictions, self-related concerns, and interpersonal problems. School-related concerns associated with distance learning were mentioned most frequently. Compared with research conducted at the beginning of the pandemic, it appeared that concerns about educational and professional futures increased. The analysis also indicated young people’s most important sources of support, such as social contacts, recreational activities, attitudes and abilities, distraction, and escape. Of concern is the proportion of young people citing maladaptive coping strategies and the reluctance to seek professional support. Ideas for practice-oriented measures were developed from the study results, such as embedding youth-led peer interventions in traditional mental health services.

Getting Through the Crisis Together: Do Friendships Contribute to University Students' Resilience During the COVID-19 Pandemic?

Social contacts and social support represent resources that contribute to resilience. However, the COVID-19 pandemic and the associated measures, including contact restrictions, posed challenges for young adults' social networks, in particular for their friendships. Employing a mixed-method approach, we investigated the pandemic's effects on friendships and their role in successfully navigating the crisis. We combined a qualitative approach based on narratives and in-depth interviews and a quantitative approach based on online surveys focusing on university students in Austria. Longitudinal data collections allowed investigating changes and developments as the pandemic progressed. Results indicate profound challenges for participants' friendships and difficulties in both building new and maintaining existing friendships. This also impaired the provision of social support by friends, scattering participants' social resources and diminishing their resilience rather than strengthening it. Altogether, the results of this longitudinal study suggest a lasting negative effect of the pandemic on friendships for students.

[Digital futures of the university: Scenarios of sociotechnical change]

For the university, digital technologies proved to be a central element of crisis management during the COVID-19 pandemic. This is especially true for teaching. From a "multi-level perspective" (Geels 2004), the disruptive effects of the pandemic open a "window of opportunity" for profound and lasting sociotechnical change. Against this backdrop, this article discusses how members of the university assess the future significance of digital technologies. On the basis of qualitative, empirical research, five scenarios can be distinguished, each of which outlines digital futures in a different way. However, with our analysis of these future scenarios we do not scrutinise the probability of their occurrence, but their desirability. In this way, we identify justifications diploid to argue why further steps towards a digital university should be taken or why not. At this point in time, it is impossible to assess which scenarios of digital universities will ultimately prevail. Not least for this reason, this article is intended as a basis for a broad debate that is yet to be conducted.