A Path Analysis Model of Protection and Risk Factors for University Academic Stress: Analysis and Psychoeducational Implications for the COVID-19 Emergency

Better emotion regulation mediates gratitude and increased stress in undergraduate students across a university semester

It is well established that university students are vulnerable to poor mental health. Although increased gratitude has been shown to reduce stress among students, a clearer understanding of key mechanisms underpinning this relationship are needed to better inform theoretical models and potential interventions targeted at improving well-being in university students. The present study provides the first direct test of whether capacity for emotion regulation mediates the relationship of gratitude with stress at the beginning and middle of the academic semester. This study is also the first to assess this relationship in a cross-lagged panel mediation model. We used a repeated measures design and a total of 343 undergraduate students completed two online surveys with validated measures of gratitude, stress, and emotion regulation-one at the beginning and the second in the middle of the academic semester. Results showed that emotion regulation mediated the relationship between gratitude and stress at the beginning of semester, and again 6 weeks later. A Clogg's z-score test suggested that the strength of the indirect effect significantly increased across the two time points. A post-hoc cross-lagged panel model found that high gratitude at the beginning of the semester predicted low stress in the middle of the semester via emotion regulation. These data provide novel evidence that emotion regulation may serve as a key protective factor against undergraduate stress. The results provide evidence to support leading theories on how gratitude can reduce stress and promote well-being in university students. They also highlight the practical importance of strengthening emotion regulation abilities in university students and can be used to inform future targeted interventions to improve well-being in university students.

First-year students' achievement emotions at university: A cluster analytic approach to understand variability in attendance and attainment

BACKGROUND

Students' initial experiences at university often shape their attendance and attainment. For some students, university is a positive experience, whereas others seemingly struggle and have more negative emotions. Unearthing distinctions in first-year students' emotionality may be valuable in understanding their academic engagement and performance.

AIMS

The study's aim was to identify distinct profiles of students based on their achievement emotions and explore whether these profiles differed in university attendance and attainment. At least three emotional profiles were hypothesized (positive; moderate; negative) with a positive profile expected to display the highest attendance and attainment.

SAMPLE

Participants were 294 first-year undergraduate students from a university in the United Kingdom (Mage = 19.33 years; 127 men; 162 women).

METHODS

Students completed self-report measures of eight achievement emotions for general learning. Attendance and attainment data were collected from official records. Hierarchical cluster analysis was performed to profile students on their achievement emotions. Analysis of covariance explored profile differences in attendance and attainment.

RESULTS

Four emotional profiles emerged: positive; moderate; negative; mixed-valence (both positive and negative activating emotions). The positive and mixed-valence groups displayed equally high attendance compared to the moderate and negative groups. The positive group obtained higher academic attainment than the mixed-valence and negative emotion groups, but not the moderate group.

CONCLUSIONS

The findings highlight the diverse emotional experiences of first-year university students and the existence of co-occurring positive and negative activation emotions. This evidence may be of practical worth to educators in understanding variability in students' emotions, attendance and attainment.

Conceptual Utility Model for the Management of Stress and Psychological Wellbeing, CMMSPW™ in a university environment: theoretical basis, structure and functionality

This article describes and introduces the Conceptual Utility Model for the Management of Stress and Psychological Wellbeing, CMMSPW™ Its purpose is to assess, evaluate and treat stress and psychological wellbeing. First, the theoretical assumptions of the model are presented. This model is an application of the 3P Model, Theory of Internal vs. External Behavioral Regulation and the Model of Competency for the Management of Stress and Psychological Wellbeing. Second, the conceptual structure of the model is presented. This model allows the structural and functional determination of the variables and predictive, mediating and final factors for stress and psychological wellbeing. Third, the functional structure is presented. For predictive factors, the internal and external self-regulation theoretical model allows us to assess levels of internal and external regulation of the individual and their context, as well as other personal and contextual factors involved in self-regulation. For mediating factors, the model of competence for the management of stress and wellbeing allows us to analyze conceptual (concept and principles), mediating (skills and metaskills) and attitudinal (attitudes, values and habits) variables. Finally, in relation to factors that condition outcomes, we can determine levels of response to stress and psychological wellbeing. Finally, limitations and conclusions are presented. The model also allows us to determine predictive relationships between those three types of variables and is functionally transferable to other contexts, including contexts proper to the psychology of education, clinical practice and healthcare, and psychosocial, organizational and technological contexts.

Resilience, Positivity and Social Support as Perceived Stress Predictors among University Students

Since the COVID-19 pandemic, researchers have been trying to identify which personal resources can contribute to minimizing the mental health costs in students incurred due to the restrictions that disrupted safety and predictability in their academic lives. The aim of the study was to verify if and how individual factors (resilience and positivity) and socio-environmental factors (social support and nationality) allow prediction of the level of perceived stress. University students (n = 559) from Poland, Serbia, and Italy were surveyed using the Perceived Stress Scale (PSS-10), the Brief Resilience Scale (BRS), the Positivity Scale (PS), and the Interpersonal Support Evaluation List (ISEL-12). Personal resources-positivity, resilience, and support-were found to be positively interrelated and significantly associated with stress levels. Additionally, gender and nationality differentiated stress levels. A general linear model (GLM) showed that levels of perceived stress are best explained by resilience, positivity, tangible support, and gender. The results obtained can strengthen students' awareness of personal resources and their protective role in maintaining mental health, as well as contribute to the creation of prevention-oriented educational activities. Nationality was not a significant predictor of the level of perceived stress, which highlights the universality of examined predictors among university students from different countries and suggests that interventions aimed at enhancing these resources could benefit students across different cultural contexts.

A predictive model of perceived stress during the first wave of the COVID-19 pandemic in university students Ecuadorians

Background and objectives

The situation caused by the confinement due to the COVID-19 pandemic and the mobility restriction implemented by governments worldwide had a significant impact on people's routines. Stressors are known to increase emotional imbalance, uncertainty, and frustration in the general population. This study explores the factors that predispose to the risk of perceived stress from COVID-19 and determines the underlying mediating mechanisms in the Ecuadorian population.

Method

The cross-sectional study an incidental non-probabilistic sample of n = 977 participating student volunteers from the four regions of the Republic of Ecuador (68.6% women and 31.4% men). Data on emotional regulation (ERQ), perceived stress (PSS), active procrastination (APS), diagnosis and symptoms related to COVID-19, social isolation, coexistence, and a sociodemographic questionnaire (biological sex, marital status, and age) were recruited. Statistical analysis was based on a structural equation model.

Results

The risk of suffering perceived stress in the COVID-19 pandemic was higher for single women who have lived longer in social isolation, have lived with more people, have poor emotional regulation and high rates of procrastination. This structural model is similar in all Ecuadorian regions χ² = 21.54 (p = 0.760), RMSEA = 0.001 (95%CI, 0.00-0.02), CFI = 0.998; TLI = 0.999; SRMR = 0.020.

Discussion

Although our findings are consistent and revealing for the scientific community, the lack of discrimination of the data due to strict isolation measures, taken at different periods by the Ecuadorian government against positive cases of COVID-19, is discussed. The research was applied to the university population, it would be representative to extend the study to schools and colleges.

Conclusion

We consider this work as a starting point for the creation of preventive models against perceived stress in the university environment in the event of health emergencies.

Empowering leadership and job satisfaction of academic staff in Palestinian universities: Implications of leader-member exchange and trust in leader

Introduction

In the aftermath of global pandemic of COVID-19, many sectors faced severe challenges to maintain security, health (psychological, and physical), and steer through the crisis by sup-porting the society.

Methods

Through a quantitative approach a total of 250 surveys were distributed after a pilot test. Specifically, this research gathers data from 178 (71.2% response rate) university teachers from different universities across Palestine via surveys that address the role of empowering leaders on job satisfaction among teachers. The proposed model of the re-search was analyzed using Smart-PLS and PLS-SEM technique.

Discussion and Results

The academic sector was disrupted and faced extreme changes during the pandemic, rendering teachers vulnerable and thus, role of leaders more crucial. Building on job demand-resources model, and social exchange theory, the current study examines the moderating effect of leader-member exchange (LMX) for increasing job satisfaction that can lead to enhanced overall wellbeing in the academic setting. Additionally, the mediating role of trust in leader is focused as a vital psychological element. While the results show a significantly positive effect on job satisfaction in the presence of empowering leaders, the moderating role of LMX alongside mediating impact of trust are observed. This implies that empowering leaders are highly influential in enhancing workplace for university teachers in the post-pandemic era.

Self- vs. External-Regulation Behavior ScaleTM in different psychological contexts: A validation study

The self- vs. external-regulation behavior theory, SR-ER Theory (2021) model has postulated the Self-Regulation /Non or De-Regulation/Dys-regulation (SR-NR-DR) continuum in the person and in their context. The model also generates a behavioral heuristic that allows us to predict and explain the variability of other dependent behavioral variables in a range of scenarios (clinical, educational, health and technology contexts). Consequently, the objective of this study was to validate the different scales prepared on the basis of the theory presented. A total of 469 students voluntarily completed at different times the five questionnaires presented, to give a total of 1,385 completed questionnaires. Using an ex post facto design, descriptive, correlational, confirmatory factorial analysis (CFA), reliability, and concurrent validity analyses were carried out. The scales were analyzed individually and as a whole. The results showed the acceptable structure of scale and consistent levels of reliability. The five levels generated by the SR-NR-DR (personal and contextual) combinatory heuristic that arises from the theoretical model determined significant differences in the levels of the variables analyzed for each psychological context. We discuss the theoretical implications and the implications for the assessment and improvement of the behaviors analyzed in function of the personal and contextual regulation levels evaluated.

Advances on Self-Regulation Models: A New Research Agenda Through the SR vs ER Behavior Theory in Different Psychology Contexts

The aim of this paper is to demonstrate how Bandura's Social Cognitive Theory (1986) influenced the development of several complementary models of the construct of Self-Regulation. Building on the foundation of Self-Determination Theory, SDT (2000), and Zimmerman's Self-Regulation Theory, SR (2001), with their assumptions, contributions, goddesses, and limitations, we come to the Self- vs. External Regulatory Theory, SR-ER (2021). Finally, we integrate recent evidence demonstrating the explanatory adequacy of the SR vs. ER model for different psychological constructions in different settings related to education, health, clinical practice and social work. Complementary, a new theoretical and empirical research agenda is presented, to continue testing the adequacy of SR vs. ER assumptions, and to better understand the behavioral variability of the different constructs studied.

Students' Entire Deep Learning Personality Model and Perceived Teachers' Emotional Support

In recent years, deep learning as the requirement of higher education for students has attracted the attention of many scholars, and previous studies focused on defining deep learning as the deep processing of knowledge of the brain, however, in the process of knowledge processing, the brain not only involves the deep processing of information but also participates in learning consciously and emotionally. Therefore, this research proposed a four-factor model hypothesis for deep learning that includes deep learning investment, deep cognitive-emotional experience, deep information processing, and deep learning meta-cognitive. In addition, the research proposed teachers’ emotional support perceived by students has an effect on the four factors of deep learning. Through SPSS 26 and AMOS 24, this research has verified the four-factor model of deep learning applying exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and verified that the perceived teacher emotional support has an impact on the four factors of students’ deep learning using the SEM.

The Impact of Extended E-Learning on Emotional Well-Being of Students during the COVID-19 Pandemic in Saudi Arabia

Educational institutions in Saudi Arabia extended e-learning until the third semester of the academic calendar to prevent the spread of COVID-19 infection and to achieve 70% inoculation for the Saudi population. This study assesses the impact of extended e-learning and other associated stressors on the emotional health of university students in Saudi Arabia. An online cross-sectional survey collected data between the months of January–March 2021. The emotional signs of stress were measured by using a subset of items from the COVID-19 Adolescent Symptom and Psychological Experience Questionnaire (CASPE). Data about demographic variables, educational characteristics and academic performance were also collected. A regression analysis was performed to determine predictors of emotional health. A total of 434 university students including females (63%) and males (37%) provided responses. One-third of students (33%) indicated that the COVID-19 pandemic and its resulting changes including online distance studies greatly influenced their daily lives in a negative way. The regression analysis demonstrated that female students and students with average academic performance had increased vulnerability to experience emotional signs of stress (p < 0.05). The factors ‘Not going to university’ and ‘Not having a routine life’ were significant predictors of stress responses (p < 0.01) and (p < 0.001) respectively. E-learning during the COVID-19 pandemic made it possible for students to complete their studies as per academic calendar; simultaneously, it increased the vulnerability to experience stress, particularly for female students and students with average academic performance. These findings imply that academic advising and counseling services should be more readily available during digital studies to support at risk students.