Zooming their way through university: Which Big 5 traits facilitated students' adjustment to online courses during the COVID-19 pandemic

Satisfaction of essential needs in E-learning as a mediator of the links between students' attitudes and ethical misbehaviors

The current study investigated the links between attitudes toward e-learning, satisfaction of essential needs in e-learning and ethical misbehavior in a survey of 1001 students from different higher education institutions in the Kingdom of Saudi Arabia. Structural equation modeling analyses present-that a positive attitude toward e-learning was linked to lower levels of ethical issues, and those links were explained in part (i.e., mediated) by higher levels of the satisfaction of essential needs. In contrast, an unaccepted view about e-learning was associated with lower levels of the satisfaction of essential needs during E-learning and correspondingly higher levels of ethical misbehavior engagement. The effects are tackled in the sense of essential-need satisfaction in e-learning, principled themes, and exposure to e-learning.

Exploring the role of personality, perfectionism, and self-compassion on the relationship between clinical decision-making and nurses' wellbeing

BACKGROUND

Clinical decision-making is a core competency of the nursing role, with nurses having to make decisions surrounding patient care and patient safety daily. With decision-making being linked to psychological outcomes, it is important to consider potential areas that may support or hinder nurses' wellbeing whilst navigating clinical decisions.

AIM

The present study sought to investigate the relationship between clinical decision-making and moral distress, and further explore the role of personality, perfectionism, philotimo (a virtue describing the desire to do right by oneself and others, aligning with one's sense of morality), and self-compassion.

DESIGN

An online cross-sectional survey was conducted using Qualtrics. Associations between clinical decision-making and moral distress, burnout, personality, perfectionism, philotimo, and self-compassion were examined using univariate and multivariate statistics.

METHODS

One hundred and forty-three nurses from the United Kingdom completed an online questionnaire. Eligibility criteria included individuals who had practised in the nursing profession for a minimum of six months. To ensure that all participants were practising across the United Kingdom, the eligibility criteria was made clear in the study advertisement, and the consent form. The consent form required participants to confirm that they reached these criteria to proceed with the study.

RESULTS

Results revealed that clinical decision-making was associated with moral distress experience, and that both openness to experience, and philotimo mediated this relationship, independently. In addition to this, self-compassion was significantly associated with clinical decision-making across senior banded nursing roles, but this was non-significant for junior banded nursing roles.

CONCLUSION

Findings highlight the role of individual differences when looking at the impact of clinical decision-making upon nurses' wellbeing and offers explanation for any variance in moral distress experience across nursing professionals. This research identifies fundamental differences between junior and senior nurses in relation to clinical decision-making and self-compassion that should be considered in future research.

The Relation of Big Five Personality Traits on Academic Performance, Well-Being and Home Study Satisfaction in Corona Times

INTRODUCTION

As a result of the protective measures taken to contain the COVID-19 pandemic, German students experienced home study in the spring of 2020. The present study addressed the relation between coping with the home study situation and personality.

METHODS

The interrelations of the Big Five factors with students' well-being, study satisfaction and academic performance were examined in 287 German online participants.

RESULTS

The results showed significant positive correlations of positive affect and conscientiousness, as well as of better academic performance and academic satisfaction. For extraversion, a positive supporting effect on the affective level emerged, although previous studies suggested negative influences of extraversion on affect in home study settings in other phases of the pandemic. Furthermore, in contrast, neuroticism showed a negative relation to study satisfaction and mood in home study.

CONCLUSION

In summary, the personalities of students should be considered in order to provide protective measures and avoid negative coping effects.

Wellbeing among university students during the COVID-19 pandemic: a systematic review of longitudinal studies

OBJECTIVES

The objectives of this study were to investigate the wellbeing trajectories of university students during the COVID-19 pandemic and identify associated protective factors. Results from the study aimed to inform wellbeing-promotion strategies and crisis-response plans in university settings.

STUDY DESIGN

Systematic review.

METHODS

A review of articles published in English language was conducted in PubMed, PsycINFO, Scopus, Web of Science, and ERIC databases from 1 December 2019 to 15 December 2022. Longitudinal and repeated cross-sectional studies that assessed wellbeing among university students during the COVID-19 pandemic using a validated instrument were included. Article and data extraction were performed by the primary reviewer, with a random subset verified by a second reviewer. Study quality was assessed using the National Institutes of Health 'Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies'.

RESULTS

Of 6651 titles screened without duplicates, 181 underwent full-text review, of which 19 were included in the current study (15 longitudinal and 4 repeated cross-sectional studies, with a total of 19,206 participants). A significant decrease in the wellbeing of university students was observed across studies during the early stages of the pandemic compared to prepandemic times; however, mixed findings were found in later phases of the pandemic, with some studies presenting an improvement in wellbeing, others no change, and two studies finding impairments. Overall, wellbeing was greater among males and was also associated with socioeconomic status, more sleep and physical activity, greater social connectedness, less alcohol use, and less social media activity.

CONCLUSION

The study showed varying wellbeing trajectories across different periods of the COVID-19 pandemic. Results provide relevant information for researchers, public health professionals, and higher education institutions in charge of promoting student wellbeing and crisis preparedness.

PROSPERO REGISTRATION

CRD42022383941.

To Zoom or not: Diverging responses to privacy and security risks

During the onset of the COVID-19 pandemic and the subsequent lock-down, digital platforms like Zoom became essential for remote work. Yet at the same time, substantial security and privacy risks made the headlines. Using the lenses of Naturalistic Decision-making and the Theory of Multilevel Information Privacy, we find diverging responses to well-documented security risks of Zoom use in educational environments. We identify-three distinct response patterns, which we name the 'Agnostic', the 'Pragmatic' and the 'Sceptic', and show how the interplay of the salient social identity, personal privacy norms, and the privacy calculus guides the dynamic of privacy decision-making in light of experiential feedback, and the developing public discourse about security risks. We provide empirical evidence for multilevel decision-making and highlight the contextual and social nature of privacy decision-making about platform mode of use for remote work.

Big Five personality traits and coping strategies of Italian university students during the COVID-19 pandemic first wave

Introduction

Little is known about the role personality traits may have played for university students in diminishing and compensating for the negative impact of COVID-19 in its early phases, promoting adaptive coping. University students represent a population which was consistently obliged to follow social distance rules due to the early shift of many organizations from face-to-face to online learning. Therefore, it is worth exploring whether the Big Five traits acted as risk or protective factors after the outbreak of a disaster such as the COVID-19 pandemic for Italian university students.

Methods

We involved a sample of 2,995 university students who completed an online survey in March 2020. We measured the Big Five personality traits through the Big Five Inventory-2-XS and their coping strategies through the Robust-Pandemic Coping Scale. The latter assessed four COVID-19-related coping dimensions, namely Despair (e.g., including helplessness and feeling lack of control), Aversion (e.g., referring to oppositive strategies), Proactivity (e.g., comprising problem solving and information seeking), and Adjustment (e.g., concerning reappraisal and assertiveness).

Results

Preliminarily, two Linear Mixed Models indicated that university students had higher scores in Conscientiousness, followed by Open-Mindedness, and then Agreeableness. These three traits were, in turn, higher than Extraversion and Negative Emotionality, which did not differ among them. Concerning coping, university students reacted more frequently utilizing adaptive strategies (with Proactivity used more frequently than Adjustment) rather than maladaptive strategies (with Despair higher than Aversion). A Path Analysis examining the relations between the Big Five traits and the four coping dimensions showed that Negative Emotionality can be considered as a risk factor, and that Agreeableness, Conscientiousness, and Open-Mindedness can be conceptualized as protective factors. More interestingly, we found that Extraversion entailed both a risk and a protective role for Italian university students after the outbreak of the COVID-19 pandemic.

Discussion

Notwithstanding limitations, these findings can be the basis for developing disaster preparation and prevention actions, aiming at promoting students' positive coping towards current and future disasters.

Online learning during the Covid-19 pandemic: How university students' perceptions, engagement, and performance are related to their personal characteristics

University students faced unexpected challenges in online learning during the Covid-19 pandemic. Findings from early phases of the Covid-19 pandemic and before show that online learning experiences may vary from student to student and depend on several personal characteristics. However, the relative importance of different students' personal characteristics for their online learning experiences at later phases of the Covid-19 pandemic is still unclear. This cross-sectional, correlational study investigates how personal characteristics of university students are related to five dimensions of online learning perception and to their engagement and performance in online courses. In an online survey, 413 students from German universities provided full information on their online learning experiences and personal characteristics in terms of demographic information, Big Five personality traits, self-regulation skills, three facets of self-efficacy, and two types of state anxiety. Results of multiple regression analyses show that students' age was significantly positively related to all online learning perceptions and engagement in online courses. Our findings also confirm that self-regulation skills and academic and digital media self-efficacy are important factors in various online learning experiences. In contrast, students' personality traits and state anxiety were less important for most online learning experiences. Noteworthy, several bivariate associations between personal characteristics and online learning experiences are not reflected in the multiple regression model. This underscores the need to consider relevant variables simultaneously to evaluate their relative importance and to identify key personal characteristics. Overall, our results show valuable starting points for theory development and educational interventions.

Self-motivated and directed learning across the lifespan

Self-motivated and directed learning is integral to knowledge base expansion for learners of all ages. Both motivational and cognitive processes drive self-motivated and directed lifelong learning, yet how these different processes operate together from childhood through adulthood is largely unknown. In this review, we discuss the role of personal motivators, such as beliefs in self-efficacy and personality traits in self-motivated and directed learning across the lifespan. We then consider the role of cognitive processes that contribute to knowledge base expansion in learners of all ages, specifically executive functions. We focus on working memory, inhibitory control, and task switching as potential determinants of lifelong learning. Finally, we integrate the two literatures, to discuss ways in which personal motivators may influence deployment of executive functions under self-motivated and directed conditions as a learner advances along a developmental trajectory. We also suggest ways to move the study of self-motivated and directed learning beyond observation and self-report measures thus affording experimental control. We aim to provide a more comprehensive understanding and novel insight to the mechanisms and processes of self-motivated and directed learning across the lifespan.

HyFlex environment: addressing students' basic psychological needs

Active learning strategies engage students and promote student-centered learning environments. Implementing active learning in a HyFlex environment during the Fall of 2020 global pandemic was challenging. We describe the Interactive Synchronous HyFlex approach to teaching design thinking at the introductory college level and explore impacts on students' basic psychological needs, including autonomy, competence, and relatedness. Aligned with Self-Determination Theory, active learning has been shown to motivate students and increase performance and retention in science, engineering, and mathematics disciplines, among others (Freeman et al., 2014; Lo & Hew, 2019). In active environments, the predominant mode of instruction is not lecture based and it engages students through student-to-student interactions and student-to-instructor interactions. The flipped classroom is a pedagogical model in which the typical lecture and homework elements of a course are reversed. This model of instruction is ideal for our design thinking course used as a context for this study because students are challenged to learn by doing. In active learning courses, students engage in video-recorded lectures or talks, text-based materials and online quizzes, or other preparation activities before and in preparation for class (Bishop & Verleger, 2013; Lo et al., 2017; O'Flaherty & Phillips, 2015). Scheduled class meeting time is used for engagement and interaction between students informed by a social constructivist learning theory. Students challenge each other to apply what they have learned with guidance and support from the instructor.

Personality traits and stress perception as predictors of students' online engagement during the COVID-19 pandemic

The COVID-19 pandemic coupled with increasing student numbers means online learning will remain a prevalent feature of the university experience, therefore it is vital that we understand how personality can influence student online engagement. The current study examined whether students' personality traits and stress perception predicted their online engagement with their studies during the COVID-19 pandemic. A sample of 301 first year psychology students completed the Big Five Inventory, Challenge and Hindrance Stress Scales, and the Online Student Engagement Scale, which measured students': engagement skills, emotional engagement, participation and performance. Results revealed that conscientiousness positively predicted all types of online engagement. Extraversion predicted participation and performance. Neuroticism predicted engagement skills, emotional engagement and performance, whilst agreeableness and openness to experience respectively predicted participation and emotional engagement. Additionally, stress perceived as a hindrance negatively predicted performance. These results reveal that students' personality traits and stress perception influence their online engagement and might enable educators to identify those who may require support in engaging with their studies.

An Extended UTAUT Model to Explain Factors Affecting Online Learning System Amidst COVID-19 Pandemic: The Case of a Developing Economy

From a developing country perspective, this study explains the factors affecting online learning amidst the COVID-19 pandemic. The paper empirically tests the proposed extended unified theory of acceptance and use of technology (e-UTAUT) model in the students' intention and use behavior toward the online learning system. Understanding the acceptance of online learning technology is crucial, especially among developing countries caught off-guard by the abrupt transition of face-to-face classes to pure online learning. The enjoyment, interactivity, flexibility, and quality of online learning systems were added as antecedent variables to the UTAUT model. Eight hundred eighty valid responses from selected college students in the Visayas regions, Philippines, were collected. Structural equation modeling (SEM) was employed to verify the research hypotheses. The results supported the proposed model with acceptable fit measures and substantial explanatory power. The extended constructs provide different views on online learning based on the significant cluster of antecedents to explain technology acceptance through behavioral intentions and actual system usage. The paper implies that despite the challenges of connectivity in developing countries, the variations still conform with emerging literature about the topic. Insights for higher education institutions and policy directions are recommended.

Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers

The decline of enrollees for industrial engineering during the COVID-19 pandemic and the increasing demand for professional industrial engineers should be explored. The purpose of this study was to determine the preference of industrial engineering students of different educational levels on online learning during the COVID-19 pandemic. Specifically, this study utilized conjoint analysis with orthogonal design considering seven attributes: delivery type, layout, term style, final requirements, Coursera requirements, seatwork and practice sets, and platforms. Among the attributes, 20 stimuli were created through SPSS and were answered voluntarily by 126 respondents utilizing a 7-point Likert Scale. The respondents were comprised of 79 undergraduate, 30 fully online master’s degree, and 17 master’s and doctorate degree students collected through purposive sampling. One university from the two available universities that offer all educational levels of IE in the Philippines was considered. The results showed that undergraduate students considered the final requirements with multiple-choice as the highest preference, followed by non-modular term style, and no seatwork and practice sets. In addition, fully online master’s degree students considered delivery type with the mix as the highest preference, followed by layout, and no seatwork and practice sets. Finally, master’s and doctorate degree students considered final requirements with publication as the highest preference, followed by no seatwork and practice sets, and mix delivery type. The students are technologically inclined, want to learn at their own pace, know where and how to get additional online learning materials, but still need the guidance of teachers/professors. The results would help contribute to the theoretical foundation for further students’ preference segmentation, specifically on online learning during the COVID-19 pandemic worldwide. Moreover, the design created could be utilized for other courses in measuring students’ preference for online learning even after the COVID-19 pandemic.