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SYSTEMATIC REVIEW article

Front. Psychol., 02 September 2022
Sec. Educational Psychology

K−12 teachers' stress and burnout during the COVID-19 pandemic: A systematic review

\nAndrea Westphal
Andrea Westphal1*Eva KalinowskiEva Kalinowski2Clara Josepha HoferichterClara Josepha Hoferichter2Miriam VockMiriam Vock2
  • 1Interdisciplinary Research on Teaching, Learning and School Development, University of Greifswald, Greifswald, Germany
  • 2Empirical Research on Instruction and Intervention, University of Potsdam, Potsdam, Germany

We present the first systematic literature review on stress and burnout in K−12 teachers during the COVID-19 pandemic. Based on a systematic literature search, we identified 17 studies that included 9,874 K−12 teachers from around the world. These studies showed some indication that burnout did increase during the COVID-19 pandemic. There were, however, almost no differences in the levels of stress and burnout experienced by K−12 teachers compared to individuals employed in other occupational fields. School principals' leadership styles emerged as an organizational characteristic that is highly relevant for K−12 teachers' levels of stress and burnout. Individual teacher characteristics associated with burnout were K−12 teachers' personality, self-efficacy in online teaching, and perceived vulnerability to COVID-19. In order to reduce stress, there was an indication that stress-management training in combination with training in technology use for teaching may be superior to stress-management training alone. Future research needs to adopt more longitudinal designs and examine the interplay between individual and organizational characteristics in the development of teacher stress and burnout during the COVID-19 pandemic and beyond.

Introduction

Between spring 2020 and summer 2021, teachers and students around the world experienced school closures as a result of the COVID-19 pandemic. Although school closures are not unknown historically—occurring, for instance, during the polio pandemic in 1916 (Meyers and Thomasson, 2021) and during the influenza pandemic in 2009 (Jackson et al., 2014)—the duration and global reach of school closures during this pandemic was historically unique. At the peak of the pandemic, about 1.5 billion students were affected by school closures (UNESCO, 2021). Empirical research has focused on the considerable consequences the COVID-19 pandemic has had for students' wellbeing (Asbury et al., 2020) and achievement, especially for students from families with low socioeconomic statuses (Hammerstein et al., 2021), thus widening existing social disparities (e.g., Westphal et al., 2016). Less attention has been paid to the question of how teachers have experienced the COVID-19 pandemic, the related school closures, and the required shift to online teaching (Kim and Asbury, 2020). We aim to shed light on the struggles and strains that COVID-19 and the accompanying school closures posed for K−12 teachers, i.e., for teachers teaching in kindergarten (K) or in the first through the 12th grade (1–12). To achieve this, the present review synthesizes quantitative research on K−12 teachers' stress and burnout during the COVID-19 pandemic.

Teacher stress and burnout

Teacher stress is a potential undesirable consequence of the COVID-19 school closures (UNESCO, 2021), emerging from issues such as uncertainties about the duration of school closures or teachers' lack of experience with remote teaching (e.g., Kim and Asbury, 2020). The question of how to tackle teacher stress and prevent teachers from leaving their profession as a result of burnout is not new to researchers, teacher educators, and stakeholders in educational policy (Abel and Sewell, 1999; OECD, 2020a).

Appraisal-based approaches to stress, such as the transactional model of stress and coping (Lazarus and Folkman, 1984; Chang, 2009), propose that teacher stress results from a teacher's perception or appraisal of an event or environment as being threatening, harmful, or as entailing stressors that exceed their coping resources. Repeated or prolonged exposure to stressors and inadequate coping strategies may make the symptoms of burnout more likely (Lazarus, 1999). Burnout is defined as a multidimensional “syndrome of emotional exhaustion, depersonalization, and reduced personal accomplishment” (Maslach et al., 1996, p. 4). Emotional exhaustion is seen as the core element of burnout (Maslach et al., 2001). It comprises physical fatigue and emotional depletion in the workplace and is the symptom most commonly reported by individuals who suffer from burnout (Maslach et al., 2001). Depersonalization is characterized by an indifference toward others in the working context, i.e., students and colleagues in a school. Reduced personal accomplishment describes the process of becoming less efficient in finishing important tasks at work. The Maslach Burnout Inventory, developed by Maslach and Jackson (1981), allows researchers to assess these three dimensions of burnout.

Drivers of teacher stress and burnout

Up until the 1970's, workload, time pressure, and physical strain were seen as the essential drivers of distressing experiences in the workplace (Karasek, 1979). Building on this view, the demand-control model (Karasek, 1979) explained stress at work as resulting from a combination of high job demand and low job control. Demerouti et al. (2001) underlined the important role of other resources beyond job control, which they framed as physical, organizational, social, and psychological factors in the workplace that may either facilitate the achievement of job goals, including individual growth and development, or ameliorate the detrimental consequences of job demands (Demerouti et al., 2001). The job-demands-resources model (Demerouti et al., 2001) integrates these definitions, suggesting that job demands increase the risk of burnout, while job resources can have both directly positive effects, decreasing the risk of burnout, as well as ameliorating effects that lessen the negative consequences of job demands. The job-demands-resources model stimulated research on the questions of “‘what' causes burnout?” and “‘who' gets burned out?” (Chang, 2009, p. 200).

Empirical research on the question of what causes teacher burnout has shown that discipline problems (meta-analysis by Aloe et al., 2014; Skaalvik and Skaalvik, 2017), low student motivation (e.g., Friedman, 1995; Skaalvik and Skaalvik, 2016, 2017), and a dissonance between teacher and student values (e.g., Skaalvik and Skaalvik, 2017) all play a crucial role in teacher burnout. In addition to this, time pressure or work overload may contribute to the development of teacher burnout (e.g., Goddard et al., 2006; Betoret and Artiga, 2010; Skaalvik and Skaalvik, 2010, 2011, 2017; Fernet et al., 2012). In terms of the question of “who gets burned out,” meta-analyses has shown that teachers' personality traits—especially a high level of emotional stability and extraversion (Cramer and Binder, 2015; Kim et al., 2019)—can make teachers less susceptible to burnout. In addition, teachers with higher self-efficacy in classroom management are less likely to be affected by burnout (meta-analysis by Aloe et al., 2014). Research findings are, however, inconsistent on the question of whether teachers' age, gender, and/or teaching experience make them more vulnerable to burnout (e.g., review by Chang, 2009; Mota et al., 2021).

Appraisal-based approaches to stress and burnout illustrate the interplay between personal characteristics and job characteristics. Consequently, more recent studies on burnout have shifted their attention to the question of “‘who' gets burned out in ‘which' situations?” (Chang, 2009, p. 201). Most evidence on this question has been gathered in the context of the interplay between classroom disturbances, teacher characteristics, and burnout. For instance, a study by Dicke et al. (2015b) showed that teachers with higher levels of classroom-management self-efficacy were less susceptible to emotional exhaustion when teaching in schools with a higher level of classroom disturbances than those teachers who reported lower levels of self-efficacy (see also Evers et al., 2004).

Challenges for teachers during the COVID-19 pandemic

The COVID-19 pandemic demanded profound changes in everyday teaching (Reimers and Schleicher, 2020) “likely to be cognitively and emotionally taxing for teachers” (Kim and Asbury, 2020, p. 1,063). Teachers have had to quickly adapt their lessons to remote teaching, which may have been a considerable challenge for many. In 2018, i.e., prior to the pandemic, across all countries participating in the PISA study, one third of 15-year-old students were attending schools whose principals indicated that most of their teachers did not possess the relevant pedagogical and technical skills to utilize digital devices in their lessons (OECD, 2020b). Teachers' digital and pedagogical skills (as reported by school principals) varied substantially within countries, with socio-economically advantaged schools having considerably higher digital and pedagogical teacher skills than socio-economically disadvantaged schools (OECD, 2020b). What might have further complicated remote teaching is that a not inconsiderable number of students only had restricted home access to the internet and to computers (OECD, 2022a,b).

In addition to these issues, many teachers have had to face competing responsibilities when preparing their online lessons while caring for their own children at home, which often resulted in increased parenting stress and work overload (Hong et al., 2021). Given the high incidence of COVID-19 in many countries, we can also assume that a number of teachers have also had to take care of family members who had fallen ill. Other teachers might have even needed to cope with the death of family members, friends, or colleagues. During the months of lockdown, numerous teachers had to manage these challenges while being isolated from friends and family members. All of these factors may have contributed to remote teaching quality not always being optimal. Parents in a number of European countries stated that they were dissatisfied with the poor quality of homeschooling offer (Thorell et al., 2021). As a consequence, many teachers probably had to handle negative feedback from students and parents on top of their already complex workload. Thus, teachers have faced manifold challenges during the COVID-19 pandemic that may have exacerbated stress and even burnout.

The aim of the present review is to shift the spotlight from students to teachers and summarize the existing empirical findings on K−12 teachers' stress and burnout during the COVID-19 pandemic. The following questions guided our research:

1. To what extent did K−12 teachers' levels of stress and burnout increase during the COVID-19 pandemic?

2. Did K−12 teachers experience higher levels of stress and burnout than individuals employed in other occupational fields during the COVID-19 pandemic?

3. Which job and organizational characteristics were associated with higher levels of stress and burnout in K−12 teachers during the COVID-19 pandemic?

4. Which individual characteristics and activities were associated with higher levels of stress and burnout in K−12 teachers during the COVID-19 pandemic?

Methods

Inclusion criteria

Based on a preliminary literature search, we developed the following criteria for the inclusion of studies: studies (1) had to have measured teacher burnout or stress during the COVID-19 pandemic (2) in quantitative terms and (3) had to focus on K−12 teachers. They had to be published (4) in English (5) between 2020 (when the pandemic began) and 2021 (when we conducted the literature search). For inclusion in our review on research question 1—which focuses on the effects of the COVID-19 pandemic on teacher stress and burnout—the studies also had to have a longitudinal design with one measurement before and one measurement during the COVID-19 pandemic. For inclusion in our review based on research question 2, the studies had to report differences between K−12 teachers and individuals working in other professions. For inclusion in our review based on research questions 3 and 4, the studies had to report the association with another construct (that was not teacher stress or burnout). We did not include intervention studies without control groups, reviews, or non-empirical studies, e.g., opinion papers.

Literature search and selection of studies

When searching for relevant studies, we used a multistep process (see Figure 1). In a first step, we developed a comprehensive search string, including words to describe the COVID-19 pandemic, words to describe stress or burnout, and the term “teachers.” We used the following search string: (Covid OR Corona OR “SARS-CoV-2” OR pandemic) AND teacher AND (stress OR distress OR burnout OR exhaustion OR disengagement OR depersonalization OR “reduced personal accomplishment” OR “reduced efficacy”). Using this syntax, we searched titles, abstracts, and keywords in the database Web of Science. The search was conducted in July 2021. There was no preselection of studies based on a rubric. To allow for the inclusion of studies that had not yet been accepted or had not undergone peer-review, we also searched the preprint archives EdArXiv, PsyArXiv, and SocArXiv, using the same search terms. This literature search yielded 157 studies.

FIGURE 1
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Figure 1. Literature search process with numbers of articles considered. When screening records by title and abstract, most of the records excluded did either not focus on K−12 teachers, did not apply a quantitative research design or were not written in English. Most of the full-text articles excluded had either not measured teacher burnout or stress or had not sampled K−12 teachers.

The titles and abstracts of all 157 studies identified were thoroughly examined by the authors on the basis of the inclusion criteria. To test for interrater agreement, the first and second author each rated a subset of 20 studies. Inter-rater reliability was Cohen's d = 0.89. In case of disagreement, the authors discussed the studies in question until they reached consensus. During this first step, 41 studies were identified as being potentially eligible for our review. Nearly all of the studies that we excluded in this first step did either not focus on K−12 teachers, did not apply a quantitative research design or were not written in English. We subsequently read the full texts of all of the 41 eligible studies and decided upon inclusion based on our inclusion criteria.

To find additional relevant work, we conducted a backward reference search in the articles selected; that is to say, we examined whether other potentially relevant studies were cited in these articles. The selection process was repeated on the nine additional studies identified during this search. In total, 17 studies were selected for inclusion in our review during full-text screening. These studies were then coded by the first and second author and the coding was checked by a research assistant (see Table 1). Most of the studies that we excluded in this second step either had not measured teacher burnout or stress or had no K−12 teachers sample, which only became clear after reading the full-text.

TABLE 1
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Table 1. Description of non-intervention studies included in the review.

The quality of the studies included in the review was independently rated by two of the authors based on eight quality indicators for non-intervention studies and 14 quality indicators for intervention studies (adapted from Hwang et al., 2017; see Table 2). In case of disagreement, studies were discussed until consensus was reached. We did not exclude any studies based on the quality ratings. Instead, these ratings serve as indicators of the overall quality of the research (see Tables 3, 4).

TABLE 2
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Table 2. Description of intervention studies included in the review.

TABLE 3
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Table 3. Quality ratings of non-intervention studies included in the review.

TABLE 4
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Table 4. Quality ratings of intervention studies included in the review.

Results

To give an overview of the included studies, we first present (3.1) the measures of K−12 teacher stress and burnout (3.2), the research designs, and (3.3) the teacher samples used in the studies. We then report (3.4) the study findings on changes in K−12 teachers' levels of stress and burnout during the COVID-19 pandemic and (3.5) differences in stress and burnout between K−12 teachers and individuals employed in other occupational fields. Finally, we outline findings on the relevance of (3.6.1) job and organizational characteristics and (3.6.2) individual characteristics. In Table 1, we present details about the time frame and the country, in which the study was conducted.

Measures of K−12 teacher stress and burnout

Of the 17 studies included in our review, three studies assessed both teacher stress and burnout, nine studies just assessed teacher burnout, and five studies focused only on teacher stress. Of the 12 studies examining burnout, eight relied on Maslach's operationalization of burnout, applying the original Maslach Burnout Inventory (MBI; k = 6; Maslach et al., 1986) or the MBI-Educator Survey (k = 2; Maslach et al., 1996). Two studies (Panisoara et al., 2020; Carreon et al., 2021) selected and adapted items of the Oldenburg Burnout Inventory (Demerouti et al., 2003; both subscales: exhaustion and disengagement) to measure burnout in regard to distance learning. One study (Ma et al., 2021) administered an adapted version of the Job Burnout Inventory (Wang et al., 2003), a Chinese burnout inventory measuring the subscales passion burnout, energy burnout, and professional self-effectiveness burnout. Pressley (2021) used two teacher burnout subscales—assessing administration support and stress—of the Teacher Burnout Scale by Seidman and Zager (1986).

Of the eight studies measuring stress, four used the Perceived Stress Scale (PSS; Cohen et al., 1983) and one used an adapted version of this scale (COVID-PSS-10; Pedrozo-Pupo et al., 2020). One study (Ozamiz-Etxebarria et al., 2021) applied the Depression Anxiety and Stress Scale-21 (DASS-21; Ruiz et al., 2017), one study (Zhou and Yao, 2020) assessed diagnostic criteria of an acute stress disorder, based on in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5; American Psychiatric Association, 2013), and one study (Collie, 2021) measured stress related to change (Putwain and von der Embse, 2019).

Research designs

The majority of the studies (k = 14) included in our review applied a cross-sectional and non-experimental study design, surveying teachers once during the pandemic. One study (Weißenfels et al., 2021) surveyed teachers twice during the pandemic. Two studies (Pozo-Rico et al., 2020; Zadok-Gurman et al., 2021) applied intervention designs, in which changes in teachers' stress and burnout in an intervention group were compared to a control group.

Teacher samples

A total of N = 9,874 teachers participated in the 17 studies included in the review. The number of participants per study ranged from 67 to 1,633. Participants were recruited in 20 countries all across the world, including the United States, Canada, Australia, China, Morocco, the Philippines, and a range of European countries. We present the teacher samples broken down by country in Table 5. Teachers' average age ranged from 33.9 to 45.3 years, 77.8% were female (ranging from 34.2% to 96.8%; k = 15; N = 9,358). Overall, 33.9% were primary school teachers (k = 7; N = 3,116). Five studies reported they recruited teachers from both primary and secondary schools (Zhou and Yao, 2020; Collie, 2021; Ma et al., 2021; Ozamiz-Etxebarria et al., 2021; Weißenfels et al., 2021). Two studies (Mari et al., 2021; Ozamiz-Etxebarria et al., 2021) compared K−12-teacher samples to samples of preschool teachers, university teachers, managers, and executive employees.

TABLE 5
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Table 5. K−12 teachers samples broken down by country.

Study findings on the changes in teacher stress and burnout during the pandemic

Two studies reported changes in teachers' stress and burnout levels during the pandemic compared to burnout levels prior to the pandemic (Weißenfels et al., 2021; control group in Zadok-Gurman et al., 2021). One study showed an increase in lack of accomplishment and depersonalization, but no change in emotional exhaustion (Weißenfels et al., 2021; T2 survey in May 2020; MBI; latent change regression), while the other study found an increase in emotional exhaustion (Cohen's d = 1.88),1 but no change in personal accomplishment or stress (control group in Zadok-Gurman et al., 2021; T2 survey in May 2020; MBI).

Study findings on the differences in stress and burnout between K−12 teachers and individuals employed in other occupational fields

Two studies examined differences between K−12 teachers' stress levels and stress levels in other professions. Ozamiz-Etxebarria et al. (2021) found no differences in stress levels experienced by K−12 teachers in comparison to preschool teachers' and university teachers' stress levels (assessed in September 2020; Spain). Mari et al. (2021) found no differences in the PSS-subscale perceived self-efficacy between teachers, managers, executive employees, and other practitioners (i.e., lawyers, psychologists, accountants; assessed in April 2020; Italy). On the PSS-subscale helplessness, teachers reported higher scores than managers did (Cohen's d = 0.33),2 while there were no differences between teachers and the other professions.

Study findings on the links between teacher stress and burnout and job, organizational, and individual characteristics

When presenting the study findings in the following, we will only include findings pertaining to teacher stress and burnout, although some studies reported additional results.

Job characteristics and organizational characteristics

Leadership

One study examined the role of leadership (Collie, 2021) and showed that autonomy-thwarting leadership was positively associated with emotional exhaustion (standardized beta = 0.46), but not with stress related to change. Autonomy-supportive leadership was not directly associated with emotional exhaustion or stress, but indirectly affected both stress and emotional exhaustion positively via workplace buoyancy.

Workload and amount of remote teaching

Two studies examined associations between teacher burnout and reduced work (hours per week) or self-reported workload (Amri et al., 2020; Collie, 2021), as well as the amount of remote teaching (Collie, 2021). Teacher burnout was associated with workload in one of the two studies. Having to teach a mix of in-person and online instruction was associated with higher stress, but not with emotional exhaustion (Collie, 2021).

Job demands and resources

Two studies examined the associations between teacher stress and burnout and job demands (Rabaglietti et al., 2021) and resources (Sokal et al., 2020b). Higher emotional exhaustion was associated with higher parental expectations, a lack of resources, technology demands, time-management issues, difficulties in balancing home and teaching, and more resources on instruction and on new methods and technology (Sokal et al., 2020b). These job demands and resources were also positively associated with accomplishment and cynicism, although associations were smaller (Sokal et al., 2020b). Similar demands were associated with stress (Rabaglietti et al., 2021).

School location

Two studies investigated the role of the school location (rural or remote vs. urban or suburban, Collie, 2021; rural vs. suburban vs. urban, Pressley, 2021) and found no association with the Teacher Burnout Scale for stress or emotional exhaustion when controlling for individual characteristics.

Individual characteristics

Teacher self-efficacy (for online instruction and digital media)

Five studies examined the role played in burnout by teacher self-efficacy (Sokal et al., 2020a; Weißenfels et al., 2021), teacher self-efficacy for online instruction (Panisoara et al., 2020; Ma et al., 2021), or self-efficacy for using digital media (Amri et al., 2020; Weißenfels et al., 2021). The results showed that lower teacher self-efficacy (for online instruction) was associated with higher lack of accomplishment and higher emotional exhaustion [three out of three studies; the fourth and fifth study (Amri et al., 2020; Panisoara et al., 2020) reported similar findings using an overall burnout score without distinguishing between the three dimensions]. Higher self-efficacy for using digital media was associated with less change in lack of accomplishment, but not with change in emotional exhaustion (in one out of one study). Relations with depersonalization were less consistent.

Attitudes toward, and anxiety around, technology

Two studies examined the relationship between attitudes toward technology and e-learning and burnout (Sokal et al., 2020a; Weißenfels et al., 2021) indicating negative cross-sectional associations, but no associations with change in the three burnout dimensions. One study showed that higher levels of burnout were associated with a lower intention to keep on using online teaching tools in the future and with high extrinsic and low intrinsic motivation for online teaching (Panisoara et al., 2020). Anxiety of using technology and providing virtual instruction was the focus of one study that indicated a positive association with one of the two subscales of the Teacher Burnout Scale, namely stress (Pressley, 2021).

Attitudes toward change and adaptability

Two studies examined the association between teacher burnout and teachers' attitudes toward change (Sokal et al., 2020a) and adaptability (Ma et al., 2021). The findings in both studies indicate that higher levels of teacher burnout are associated with less favorable attitudes toward change and adaptability.

Personality

Five studies researched the associations between teachers' Big Five personality traits (Collie, 2021), general self-efficacy (Rabaglietti et al., 2021), sense of control (Zhou and Yao, 2020), resilience (Sokal et al., 2020a; Liu et al., 2021), and teacher stress and burnout. These studies showed that higher levels of teacher burnout and stress were associated with higher neuroticism, lower general self-efficacy, sense of control, and resilience, while there was no significant association with extraversion. Greater openness was associated with greater stress, but not with emotional exhaustion (Collie, 2021).3

Fear or self-rated risk of COVID-19 infection

Three studies studied associations between teacher stress or burnout and teachers' fear of COVID-19 (Carreon et al., 2021; Pressley, 2021) and self-rated risk of getting infected with COVID-19 (Oducado et al., 2021). Findings indicate that higher stress or burnout is associated with a higher level of fear and self-rated risk of getting infected.

Social support and basic psychological needs

Three studies examined the role of social support (Amri et al., 2020; Sokal et al., 2020b; Zhou and Yao, 2020). Social support was not associated with stress in one study (Zhou and Yao, 2020), but with burnout in two studies (Amri et al., 2020; Sokal et al., 2020b). One of the latter studies indicated that teachers with higher social support from family and friends experienced higher emotional exhaustion, but greater accomplishment (r ≤ 0.15; Sokal et al., 2020b), while the other study indicated that teachers with more social support experienced less symptoms of burnout (Amri et al., 2020). Although Zhou and Yao (2020) did not find a direct association, they showed that higher social support was indirectly associated with lower teacher stress due to a better fulfillment of teachers' basic psychological needs, i.e., higher autonomy, competence, and relatedness.

Teaching experience, age, and gender

Six studies examined the role of demographic characteristics in teacher stress and burnout [teaching experience: k = 4 (Amri et al., 2020; Carreon et al., 2021; Collie, 2021; Pressley, 2021); age: k = 3 (Amri et al., 2020; Carreon et al., 2021; Oducado et al., 2021); gender: k= 4 (Amri et al., 2020; Carreon et al., 2021; Collie, 2021; Oducado et al., 2021)]. Older and more experienced teachers had higher burnout scores in two studies, while in the other three studies age and teaching experience were not associated with stress and burnout. Studies were inconclusive regarding the role of gender in stress and burnout.

Turnover intention

One study examined the association of burnout and turnover intention, i.e., teachers' intention to quit teaching (Liu et al., 2021). In this study, all three burnout dimensions were associated with higher turnover intention.

Self-care activities and stress reduction programs

One study examined associations between teacher burnout and self-care activities indicating that mindfulness, healthy eating, and exercise were associated with higher accomplishment, while associations with other burnout dimensions were negligible (Sokal et al., 2020b). Two intervention studies examined the effects of an inquiry-based stress reduction program (Zadok-Gurman et al., 2021; T1: prior to the pandemic; T2: during the pandemic) and of a program combining stress management strategies and training in technology use for teaching (Pozo-Rico et al., 2020; T1 and T2: during the pandemic). The combined program showed positive effects, indicating a decrease in stress, emotional exhaustion, and depersonalization, and an increase in personal accomplishment for the intervention group, while there were no changes in the control group (Pozo-Rico et al., 2020). The inquiry-based stress reduction program showed no differential effects in the intervention group and control group in terms of stress and personal accomplishment (Zadok-Gurman et al., 2021). There was a differential effect in emotional exhaustion, indicating a smaller increase in the intervention group than in the control group (Zadok-Gurman et al., 2021).

Discussion

The present study sought to provide a systematic overview of the research into stress and burnout among K−12 teachers during the COVID-19 pandemic. We focused on studies that compared the level of stress and burnout teachers experienced before vs. during the COVID-19 pandemic. We also included studies investigating differences in the levels of stress and burnout experienced by K−12 teachers as compared to individuals employed in other occupational fields. In addition to this, we aimed to identify job and organizational characteristics associated with teacher stress and burnout, but also individual characteristics and activities potentially related to stress and burnout during the COVID-19 pandemic. Based on a systematic literature search, we identified 17 studies examining stress and burnout in 9,874 K−12 teachers.

As to the question of whether K−12 teachers' stress and burnout increased during the COVID-19 pandemic, only two studies out of 17 reported findings on the extent to which teachers' experienced burnout both before and during the COVID-19 pandemic (Weißenfels et al., 2021; control group in Zadok-Gurman et al., 2021). One study found evidence for an increase in lack of accomplishment and depersonalization, but no change in emotional exhaustion (Weißenfels et al., 2021; T2: May 2020; Germany). Another study indicated the reverse: that emotional exhaustion increased, but personal accomplishment and stress did not change (control group in Zadok-Gurman et al., 2021; T2: May 2020; Israel). One reason for these different findings in the two studies could be the different demands and resources in the two countries or samples under investigation, i.e., German teachers vs. Israeli teachers. From a theoretical point of view, the findings by Zadok-Gurman et al. (2021) are in line with the job demands-resources model (Demerouti et al., 2001), which posits that, of the three burnout dimensions, emotional exhaustion develops first, while depersonalization and lack of accomplishment evolve later on. On the other hand, emotional exhaustion is seen as a consequence of work overload, while reduced personal accomplishment is thought to develop when there is a lack of resources (Maslach et al., 2001).

Weißenfels et al. (2021) argue that work overload may not have been the key factor in teachers' experience of the COVID-19 pandemic. Instead, they claim, teachers were lacking information—especially at the start of the pandemic (Kim and Asbury, 2020)—which may have led to reduced levels of personal accomplishment, with teachers creating an emotional distance from their work (Weißenfels et al., 2021). It may also be the case that, at the start of the pandemic, teachers may have activated all of their resources to successfully cope with remote teaching, and the negative consequences of greater emotional exhaustion may have only emerged later on (Kim and Asbury, 2020). Last but not least, while remote teaching posed a number of challenges, some teachers may have had a positive experience of more flexible working—and in some respect less strain—finding that they could work effectively from home (Kim and Asbury, 2020).

On the question of whether K−12 teachers have experienced higher levels of stress and burnout during the COVID-19 pandemic than individuals employed in other occupational fields, two studies found almost no differences between stress levels experienced by K−12 teachers in comparison to teachers in preschools and universities (Ozamiz-Etxebarria et al., 2021) and in comparison to managers, executive employees, and other practitioners (Mari et al., 2021). The only difference that emerged was that K−12 teachers' scores on the PSS-subscale of helplessness were higher than those reported by managers.

When interpreting these results, we need to take into account the time of measurement and regional differences. Ozamiz-Etxebarria et al. (2021) conducted their study when schools and universities had already reopened. The study presumably did not capture potential differences in the stress levels of teachers in different sectors that may have emerged in response to online teaching. The results of Mari et al. (2021) may be limited by the fact that the number of teachers from Southern Italy—which was less affected by the pandemic than Northern Italy—was disproportionately high. The authors did not control for these regional differences and could therefore have underestimated K−12 teachers' actual levels of stress. There were no studies examining differences in burnout levels of K−12 teachers and individuals employed in other occupational fields.

Which job and organizational characteristics relate to K−12 teachers' levels of stress and burnout during the COVID-19 pandemic? Results indicate that school principals' leadership practices are closely associated with teachers' emotional exhaustion (Collie, 2021). Autonomy-thwarting practices, comprising pressure and controlling behaviors, were associated with higher levels of emotional exhaustion in teachers; the association was large in size (ß = 0.46 in a structural equation model, controlling for workload, teachers' personality characteristics, and demographics; Collie, 2021). In contrast, supportive practices, comprising empowerment and understanding, fostered workplace buoyancy or the ability to deal with challenges at work. Workplace buoyancy, in turn, contributed to lower levels of stress and burnout (Collie, 2021). In another study, Sokal et al. (2020b) examined various job demands and resources. Moderate associations only emerged between K−12 teachers' emotional exhaustion and time management, balancing home life and teaching, as well as technology issues (all other bivariate correlations were below 0.30; see also Rabaglietti et al., 2021 for similar findings). Reduced work and the amount of remote teaching were only negligibly related to teachers' stress and burnout (Amri et al., 2020; Collie, 2021). Teachers working in rural as compared to urban or suburban schools experienced similar levels of stress and burnout (Collie, 2021; Pressley, 2021). Taken together, the studies show that having to quickly prepare materials for online teaching while working from home and managing childcare responsibilities were relevant sources of emotional exhaustion (Sokal et al., 2020b). One way school principals can thus support teachers is by avoiding demanding practices and providing a supportive school climate (Collie, 2021).

We now come to the question of which individual characteristics and activities relate to K−12 teachers' levels of stress and burnout during the COVID-19 pandemic. The findings show that teacher self-efficacy in online learning environments were closely associated with teachers' emotional exhaustion and lack of accomplishment (Panisoara et al., 2020; Sokal et al., 2020a; Ma et al., 2021; Weißenfels et al., 2021).4 Beyond cross-sectional findings, teachers experienced a lower increase in these dimensions of burnout during the pandemic when their teaching self-efficacy showed a greater increase (Weißenfels et al., 2021). In a similar vein, higher self-efficacy in using digital media was accompanied by a smaller increase in lack of accomplishment, although it was not associated with a change in emotional exhaustion (see also Amri et al., 2020; Pressley, 2021; Weißenfels et al., 2021). This is in line with previous research indicating that teachers who perceive the classroom as more controllable will use better instructional strategies, have favorable teaching experiences, and experience less stress and burnout (Dicke et al., 2014). Given that many teachers had to acquire skills in remote teaching practically overnight (OECD, 2020b; Reimers and Schleicher, 2020), the relevance of teacher self-efficacy in online learning for teacher stress and burnout is comprehensible. In contrast, there was no evidence that attitudes toward e-learning were associated with changes in burnout (Weißenfels et al., 2021; see also mixed evidence in Pressley, 2021; but Amri et al., 2020). Thus, negative attitudes toward e-learning may not make teachers as susceptible to burnout as low teacher self-efficacy in online teaching.

Cross-sectional evidence indicated that teachers were less likely to experience burnout during the COVID-19 pandemic when they had more favorable attitudes toward change and adaptability (Sokal et al., 2020a; Ma et al., 2021), higher general self-efficacy, emotional stability, sense of control, and resilience (Sokal et al., 2020a; Zhou and Yao, 2020; Collie, 2021; Liu et al., 2021; Rabaglietti et al., 2021). These findings are consistent with meta-analyses conducted prior to the pandemic indicating that teachers' personalities—especially a high level of emotional stability—makes them less vulnerable to burnout (Cramer and Binder, 2015; Kim et al., 2019). Although it may seem likely that social support would make teachers less susceptible to burnout, especially during the COVID-19 pandemic, findings on the role of social support for teacher stress and burnout were contentious (Amri et al., 2020; Sokal et al., 2020b; Zhou and Yao, 2020). Previous research has already shown that the link between social support and burnout is weak (e.g., meta-analysis by Halbesleben, 2006). Work-related support, for instance, has been found to be more crucial in reducing burnout than non-work-related support (Halbesleben, 2006; Fiorilli et al., 2019). Studies therefore need to operationalize social support in a clear manner in order to disclose the links between social support and burnout.

Teaching experience, age, and gender were not consistently associated with teacher stress and burnout (Amri et al., 2020; Carreon et al., 2021; Collie, 2021; Oducado et al., 2021; Pressley, 2021). Differences in the strength of these associations could be explained by the time of data collection and the different countries in which the studies were conducted. Teachers who felt more at risk of getting infected with COVID-19 experienced higher levels of stress and burnout (Carreon et al., 2021; Oducado et al., 2021; Pressley, 2021). Thus, teachers living in areas that were more affected by the pandemic or teachers with health issues were more likely to suffer from stress and burnout during this period. Finally, findings indicated that teachers experiencing higher levels of burnout had a higher intention of quitting teaching (Liu et al., 2021). Turnover intentions may have been a result of burnout, but may also have existed prior to the pandemic thus impeding teachers' ability to adapt to remote teaching.

One study indicated that self-care activities, such as mindfulness, healthy eating, and exercise, can be helpful in maintaining personal accomplishment, but the associations were small (Sokal et al., 2020b). The intervention studies indicate that a program combining stress management and training in technology use can effectively reduce stress and burnout (Pozo-Rico et al., 2020), while stress management training alone may not be sufficient (Zadok-Gurman et al., 2021). Although Zadok-Gurman et al. (2021) found that emotional exhaustion increased to a lesser extent in the intervention group than in the control group, the effect was most likely due to higher starting values in the intervention group, which they did not control for in their analyses. While these findings are in line with previous research showing that training in instructional strategies may be more effective than stress management training (e.g., Dicke et al., 2015a), they need to be interpreted cautiously as stress management training programs differ in their effectiveness (Kröll et al., 2017), studies were conducted in different countries (Spain vs. Israel) and the time of measurement differed in both studies (baseline prior to the pandemic in Zadok-Gurman et al., 2021; baseline during the pandemic in Pozo-Rico et al., 2020). Nevertheless, Pozo-Rico et al. (2020) results are in line with research demonstrating that teachers with high teaching self-efficacy in online learning environments experience less stress and burnout (Panisoara et al., 2020; Sokal et al., 2020a; Ma et al., 2021; Weißenfels et al., 2021).

Limitations and implications for future research

In terms of the measures used, we found that some studies condensed and adapted self-report measures of teacher stress and burnout in order to, for instance, assess the stress that teachers experienced when using technology for online teaching (e.g., Panisoara et al., 2020; Carreon et al., 2021; Ma et al., 2021). Future studies should put more effort into validating these measures. In addition, 14 out of 17 of the studies used cross-sectional designs, and all studies relied on self-report measures. The lack of longitudinal studies is consistent with the review on teacher burnout by Madigan and Kim (2021), who found that only four out of 14 studies—conducted prior to the COVID-19 pandemic—applied a longitudinal study design. Although baseline measures may not be available, because the pandemic could not be foreseen, prospective research could shed light on the longitudinal relationship between teacher stress and burnout and job and organizational characteristics, as well as individual teacher characteristics during the ongoing pandemic.

Future studies should aim to complement ratings of teacher self-efficacy with class-level aggregated ratings of instructional quality that represent a shared perspective from all students in the classroom (Lüdtke et al., 2009). When examining job and organizational characteristics, school-level-aggregated ratings of teaching staff could be insightful (e.g., Kalinowski et al., 2022). In line with the job demands-resources model (Demerouti et al., 2001), buffering effects of job resources moderating the negative consequences of demands should also be examined. Moreover, although some of the studies included in this review assessed both individual and organizational characteristics (e.g., Sokal et al., 2020b; Collie, 2021), they did not aim to identify the interplay of these characteristics. This kind of research design could help answer the question of “‘who' gets burned out in ‘which' situations” during a global pandemic (Chang, 2009, p. 201). While our review provides a systematic overview on individual and organization characteristics that may be relevant in the development of teacher stress and burnout during the pandemic, it lacks quantitative statistical tests. To test for publication bias and more precisely describe mean effect sizes meta-analyses may be insightful.

Practical implications and conclusion

The present systematic review is based on 17 studies examining stress and burnout in 9,874 K−12 teachers from 20 countries. Most studies focus on the role of individual teacher characteristics for teacher stress and burnout. Studies imply that K−12 teachers' personality, teacher self-efficacy in online teaching, and feeling vulnerable to COVID-19 have been crucial factors in stress and burnout among teachers during the pandemic. On the organizational level, there is some indication that when school principals contribute to a supportive school climate and avoid demanding practices, teachers experience less stress and burnout. In addition, interventions for teachers may potentially be most effective in reducing stress and burnout when they combine stress management and training in technology use. These findings can be seen as important hypotheses that need to be thoroughly examined in intervention studies, using randomized-control designs. Taken together, school principals' leadership coupled with teacher training—aimed at improving stress management and teachers' self-efficacy in online teaching—could help decrease teacher stress and burnout during the ongoing COVID-19 pandemic.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

AW designed and directed the project, conducted the literature search, and took the lead in writing the manuscript. EK was involved in planning the work. AW and EK decided upon inclusion of the initial studies. CH and AW rated the quality of the studies. CH prepared the tables. EK, CH, and MV provided critical feedback and helped shape the manuscript. All authors contributed to the article and approved the submitted version.

Funding

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Projekt nummer 491466077.

Acknowledgments

We thank Ben Fergusson for his editorial assistance. We would also like to thank Nicola Schattka for her help with preparing the tables.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

1. ^Cohen's d was calculated for the present review based on the descriptives reported by Zadok-Gurman et al. (2021). Correlation between pre- and post-test was not reported. Following the procedure developed by Fukkink and Lont (2007), we used an estimated correlation of r = 0.5.

2. ^Cohen's d was calculated for the present review based on the descriptives reported by Mari et al. (2021).

3. ^Agreeableness and conscientiousness were combined into one latent factor, which the authors called “constraint,” and which was positively associated with greater stress and emotional exhaustion, when controlling for the other personality traits, although, the bivariate correlation with emotional exhaustion was negligible.

4. ^Even though two of the studies (Sokal et al., 2020a; Weißenfels et al., 2021) surveyed teachers in terms of their self-efficacy without focusing on online learning environments, teachers supposedly reported on their self-efficacy in these online environments (as the measurement took place while teachers were teaching remotely; for a similar suggestion see Weißenfels et al., 2021).

5. ^indicates studies included in the review.

References

Abel, M. H., and Sewell, J. (1999). Stress and burnout in rural and urban secondary school teachers. J. Educ. Res. 92, 287–293. doi: 10.1080/00220679909597608

CrossRef Full Text | Google Scholar

Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., and Pakpour, A. H. (2020). The fear of COVID-19 scale: development and initial validation. Int. J. Mental Health Addict. 2020, 1–9. doi: 10.1037/t78404-000

PubMed Abstract | CrossRef Full Text | Google Scholar

Akbulut, Y. (2009). Investigating underlying components of the ICT indicators measurement scale: the extended version. J. Educ. Comput. Res. 40, 405–427. doi: 10.2190/EC.40.4.b

CrossRef Full Text | Google Scholar

Aloe, A. M., Shisler, S. M., Norris, B. D., Nickerson, A. B., and Rinker, T. W. (2014). A multivariate meta-analysis of student misbehavior and teacher burnout. Educ. Res. Rev. 12, 30–44. doi: 10.1016/j.edurev.2014.05.003

CrossRef Full Text | Google Scholar

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. Arlington, VA: American Psychiatric Association.

Google Scholar

*, Amri, A., Abidli, Z., Elhamzaoui, M., Bouzaboul, M., Rabea, Z., and Ahami, A. O. T. (2020). Assessment of burnout among primary teachers in confinement during the COVID-19 period in Morocco: case of the Kenitra. Pan Afr. Medi. J. 35, 92. doi: 10.11604/pamj.supp.2020.35.2.24345

PubMed Abstract | CrossRef Full Text | Google Scholar

An, L., Cong, Z., and Wang, X. (2004). Research of high school students' security and the related factors. Chin. Mental Health J. 18, 717–719.

Google Scholar

Asbury, K., Fox, L., Deniz, E., Code, A., and Toseeb, U. (2020). How is COVID-19 affecting the mental health of children with special educational needs and disabilities and their families? J. Autism Dev. Disorders 51, 1772–1780. doi: 10.1007/s10803-020-04577-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Betoret, F. D., and Artiga, A. G. (2010). Barriers perceived by teachers at work, coping strategies, self-efficacy and burnout. Spanish J. Psychol. 13, 637–654. doi: 10.1017/S1138741600002316

PubMed Abstract | CrossRef Full Text | Google Scholar

*, Carreon, T. R., Rotas, E., Cahapay, M. B., Garcia, K. A., Amador, R. M., and Anoba, J. L. (2021). Fear of COVID-19 and remote teaching burnout of Philippine K to 12 teachers. Int. J. Educ. Innov. 15, 552–567. doi: 10.46661/ijeri.5853

CrossRef Full Text | Google Scholar

Chang, M.-L. (2009). An appraisal perspective of teacher burnout: examining the emotional work of teachers. Educ. Psychol. Rev. 21, 193–218. doi: 10.1007/s10648-009-9106-y

CrossRef Full Text | Google Scholar

Chuang, H.-H., Ho, C.-J., Weng, C.-Y., and Liu, H.-C. (2018). High school students' perceptions of English teachers' knowledge in technology-supported class environments. Asia-Pacific Educ. Res. 27, 197–206. doi: 10.1007/s40299-018-0378-1

CrossRef Full Text | Google Scholar

Cohen, S. (1986). Contrasting the hassles scale and the perceived stress scale. Who's really measuring appraised stress? Am. Psychol. 41, 716–718. doi: 10.1037/0003-066X.41.6.716

CrossRef Full Text | Google Scholar

Cohen, S., Kamarck, T., and Mermelstein, R. (1983). A global measure of perceived stress. J. Health Soc. Behav. 24, 385–396. doi: 10.2307/2136404

CrossRef Full Text | Google Scholar

*, and Collie, R. J. (2021). COVID-19 and teachers' somatic burden, stress, and emotional exhaustion: examining the role of principal leadership and workplace buoyancy. AERA Open 7, 1–15. doi: 10.1177/2332858420986187

CrossRef Full Text | Google Scholar

Connor, K. M., and Davidson, J. R. T. (2003). Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depres. Anxiety 18, 76–82. doi: 10.1002/da.10113

PubMed Abstract | CrossRef Full Text | Google Scholar

Cramer, C., and Binder, K. (2015). Zusammenhänge von Persönlichkeitsmerkmalen und Beanspruchungserleben im Lehramt. Ein internationales systematisches review [the relationship between personality traits and burnout among teachers. an international systematic review]. Zeitschrift für Erziehungswissenschaft 18, 101–123. doi: 10.1007/s11618-014-0605-3

CrossRef Full Text | Google Scholar

Davey, H. M., Barratt, A. L., Butow, P. N., and Deeks, J. J. (2007). A one-item question with a Likert or Visual Analog Scale adequately measured current anxiety. J. Clin. Epidemiol. 60, 356–360. doi: 10.1016/j.jclinepi.2006.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Demerouti, E., Bakker, A. B., Nachreiner, F., and Schaufeli, W. B. (2001). The job demands-resources model of burnout. J. App. Psychol. 86, 499–512. doi: 10.1037/0021-9010.86.3.499

CrossRef Full Text | Google Scholar

Demerouti, E., Bakker, A. B., Vardakou, I., and Kantas, A. (2003). The convergent validity of two burnout instruments: a multitrait-multimethod analysis. Eur. J. Psychol. Assessment 19, 12–23. doi: 10.1027/1015-5759.19.1.12

CrossRef Full Text | Google Scholar

Dicke, T., Elling, J., Schmeck, A., and Leutner, D. (2015a). Reducing reality shock: the effects of classroom management skills training on beginning teachers. Teach. Teacher Educ. 48, 1–12. doi: 10.1016/j.tate.2015.01.013

CrossRef Full Text | Google Scholar

Dicke, T., Parker, P. D., Holzberger, D., Kunina-Habenicht, O., Kunter, M., and Leutner, D. (2015b). Beginning teachers' efficacy and emotional exhaustion: Latent changes, reciprocity, and the influence of professional knowledge. Contemp. Educ. Psychol. 41, 62–72. doi: 10.1016/j.cedpsych.2014.11.003

CrossRef Full Text | Google Scholar

Dicke, T., Parker, P. D., Marsh, H. W., Kunter, M., Schmeck, A., and Leutner, D. (2014). Self-efficacy in classroom management, classroom disturbances, and emotional exhaustion: a moderated mediation analysis of teacher candidates. J. Educ. Psychol. 106, 569–583. doi: 10.1037/a0035504

CrossRef Full Text | Google Scholar

Eddy, C. L., Herman, K. C., and Reinke, W. M. (2019). Single-item teacher stress and coping measures: concurrent and predictive validity and sensitivity to change. J. School Psychol. 76, 17–32. doi: 10.1016/j.jsp.2019.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Edison, S. W., and Geissler, G. L. (2003). Measuring attitudes towards general technology: antecedents, hypotheses and scale development. J. Target. Measurem. Anal. Market. 12, 137–156. doi: 10.1057/palgrave.jt.5740104

CrossRef Full Text | Google Scholar

Evers, W. J. G., Tomic, W., and Brouwers, A. (2004). Burnout among teachers: students' and teachers' perceptions compared. School Psychol. Int. 25, 131–148. doi: 10.1177/0143034304043670

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernet, C., Guay, F., Senécal, C., and Austin, S. (2012). Predicting intraindividual changes in teacher burnout: the role of perceived school environment and motivational factors. Teach. Teacher Educ. 28, 514–525. doi: 10.1016/j.tate.2011.11.013

CrossRef Full Text | Google Scholar

Fernet, C., Senécal, C., Guay, F., Marsh, H., and Dowson, M. (2008). The work tasks motivation scale for teachers (WTMST). J. Career Assessment 16, 256–279. doi: 10.1177/1069072707305764

CrossRef Full Text | Google Scholar

Fiorilli, C., Benevene, P., De Stasio, S., Buonomo, I., Romano, L., Pepe, A., et al. (2019). Teachers' burnout: the role of trait emotional intelligence and social support. Front. Psychol. 10, 2743. doi: 10.3389/fpsyg.2019.02743

PubMed Abstract | CrossRef Full Text | Google Scholar

Fossati, A. (2010). Scala Per Lo Stress Percepito [Italian translation of the Perceived Stress Scale]. Department of Psychology at Carnegie Mellon University, Laboratory for the Study of Stress, Immunity, and Disease. Available online at: https://www.cmu.edu/dietrich/psychology/stress-immunity-disease-lab/scales/.doc/italian_pss_10_with_info.doc (accessed March 18, 2022).

Friedman, I. A. (1995). Student behavior patterns contributing to teacher burnout. J. Educ. Res. 88, 281–289. doi: 10.1080/00220671.1995.9941312

CrossRef Full Text | Google Scholar

Fukkink, R. G., and Lont, A. (2007). Does training matter? A meta-analysis and review of caregiver training studies. Early Childhood Res. Q. 22, 294–311. doi: 10.1016/j.ecresq.2007.04.005

CrossRef Full Text | Google Scholar

Gierk, B., Kohlmann, S., Kroenke, K., Spangenberg, L., Zenger, M., Brähler, E., et al. (2014). The Somatic Symptom Scale-8 (SSS-8): a brief measure of somatic symptom burden. J. Am. Med. Assoc. Int. Medi. 174, 399–407. doi: 10.1001/jamainternmed.2013.12179

PubMed Abstract | CrossRef Full Text | Google Scholar

Goddard, R., O'Brien, P., and Goddard, M. (2006). Work environment predictors of beginning teacher burnout. Br. Educ. Res. J. 32, 857–874. doi: 10.1080/01411920600989511

CrossRef Full Text | Google Scholar

Gosling, S. D., Rentfrow, P. J., and Swann, W. B. Jr. (2003). A very brief measure of the big-five personality domains. J. Res. Person. 37, 504–528. doi: 10.1016/S0092-6566(03)00046-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Haddock, C. K., Poston, W. S., Pyle, S. A., Klesges, R. C., Vander Weg, M. W., Peterson, A., et al. (2006). The validity of self-rated health as a measure of health status among young military personnel: evidence from a cross-sectional survey. Health Q. Life Outcomes 4, 57. doi: 10.1186/1477-7525-4-57

PubMed Abstract | CrossRef Full Text | Google Scholar

Halbesleben, J. R. B. (2006). Sources of social support and burnout: a meta-analytic test of the conservation of resources model. J. App. Psychol. 91, 1134–1145. doi: 10.1037/0021-9010.91.5.1134

PubMed Abstract | CrossRef Full Text | Google Scholar

Hammerstein, S., König, C., Dreisörner, T., and Frey, A. (2021). Effects of COVID-19-related school closures on student achievement – a systematic review. Front. Psychol. 12, 746289. doi: 10.3389/fpsyg.2021.746289

PubMed Abstract | CrossRef Full Text | Google Scholar

Hong, X., Liu, Q., and Zhang, M. (2021). Dual stressors and female pre-school teachers' job satisfaction during the COVID-19: the mediation of work-family conflict. Front. Psychol. 12, 691498. doi: 10.3389/fpsyg.2021.691498

PubMed Abstract | CrossRef Full Text | Google Scholar

Hwang, Y. S., Bartlett, B., Greben, M., and Hand, K. (2017). A systematic review of mindfulness interventions for in-service teachers: A tool to enhance teacher wellbeing and performance. Teach. Teach. Educ. 64, 26–42. doi: 10.1016/j.tate.2017.01.015

CrossRef Full Text | Google Scholar

Iliescu, D., Popa, M., and Dimache, R. (2019). The Romanian adaptation of the international personality item pool: IPIP-Ro. Psihologia Resurselor Umane 13, 83–112.

Google Scholar

Jackson, C., Mangtani, P., and Vynnycky, E. (2014). Impact of School Closures on an Influenza Pandemic: Scientific Evidence Base Review. London: Department of Health. Available online at: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/316203/School_Closures_Evidence_review.pdf (accessed March 18, 2022).

Google Scholar

Kalinowski, E., Jurczok, A., Westphal, A., and Vock, M. (2022). Welche individuellen und institutionellen Faktoren begünstigen die Kooperation von Grundschullehrkräften? [Which individual and institutional factors facilitate collaboration between teachers in primary schools?] Zeitschrift für Erziehungswissenschaft. p. 1–31. doi: 10.1007/s11618-022-01081-4

CrossRef Full Text | Google Scholar

Karasek R. A. Jr. (1979). Job demands, job decision latitude, and mental strain: implications for job redesign. Admin. Sci. Q. 24, 285–308. doi: 10.2307/2392498

CrossRef Full Text | Google Scholar

Kim, L. E., and Asbury, K. (2020). “Like a rug had been pulled from under you”: the impact of COVID-19 on teachers in England during the first six weeks of the UK lockdown. Br. J. Educ. Psychol. 90, 1062–1083. doi: 10.1111/bjep.12381

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, L. E., Jörg, V., and Klassen, R. M. (2019). A meta-analysis of the effects of teacher personality on teacher effectiveness and burnout. Educ. Psychol. Rev. 31, 163–195. doi: 10.1007/s10648-018-9458-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Kin, T. M., and Kareem, O. A. (2017). Measuring teacher attitudes towards change: an empirical validation. Int. J. Manage. Educ. 11, 437–469. doi: 10.1504/IJMIE.2017.086909

CrossRef Full Text | Google Scholar

Kröll, C., Doebler, P., and Nüesch, S. (2017). Meta-analytic evidence of the effectiveness of stress management at work. Eur. J. Work Org. Psychol. 26, 677–693. doi: 10.1080/1359432X.2017.1347157

PubMed Abstract | CrossRef Full Text | Google Scholar

Lazarus, R. S. (1999). Stress and Emotion: A New Synthesis. New York, NY: Springer Publishing Company.

Google Scholar

Lazarus, R. S., and Folkman, S. (1984). Stress, Appraisal, and Coping. New York, NY: Springer Publishing Company.

Google Scholar

Lee, S. A. (2020). Coronavirus anxiety scale: a brief mental health screener for COVID-19 related anxiety. Death Stu. 44, 393–401. doi: 10.1080/07481187.2020.1748481

PubMed Abstract | CrossRef Full Text | Google Scholar

*, Liu, F., Chen, H., Xu, J., Wen, Y., and Fang, T. (2021). Exploring the relationships between resilience and turnover intention in Chinese high school teachers: considering the moderating role of job burnout. Int. J. Environ. Res. Pub. Health 18, 6418. doi: 10.3390/ijerph18126418

PubMed Abstract | CrossRef Full Text | Google Scholar

Lüdtke, O., Robitzsch, A., Trautwein, U., and Kunter, M. (2009). Assessing the impact of learning environments: how to use student ratings of classroom or school characteristics in multilevel modeling. Contemp. Educ. Psychol. 34, 120–131. doi: 10.1016/j.cedpsych.2008.12.001

CrossRef Full Text | Google Scholar

*, Ma, K., Chutiyami, M., Zhang, Y., and Nicoll, S. (2021). Online teaching self-efficacy during COVID-19: changes, its associated factors and moderators. Educ. Inform. Technol. 26, 6675–6697. doi: 10.1007/s10639-021-10486-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Madigan, D. J., and Kim, L. E. (2021). Does teacher burnout affect students? A systematic review of its association with academic achievement and student-reported outcomes. Int. J. Educ. Res. 105, 101714. doi: 10.1016/j.ijer.2020.101714

CrossRef Full Text | Google Scholar

*, Mari, E., Lausi, G., Fraschetti, A., Pizzo, A., Baldi, M., Quaglieri, A., et al. (2021). Teaching during pandemic: a comparison in psychological wellbeing among smart working professions. Sustainability 13, 4850. doi: 10.3390/su13094850

CrossRef Full Text | Google Scholar

Martin, A. J., and Marsh, H. W. (2008). Workplace and academic buoyancy: psychometric assessment and construct validity amongst school personnel and students. J. Psychoeduc. Assess. 26, 168–184. doi: 10.1177/0734282907313767

CrossRef Full Text | Google Scholar

Martin, A. J., Nejad, H., Colmar, S., and Liem, G. A. D. (2012). Adaptability: conceptual and empirical perspectives on responses to change, novelty and uncertainty. J. Psychol. Counsellors Schools 22, 58–81. doi: 10.1017/jgc.2012.8

CrossRef Full Text | Google Scholar

Maslach C Jackson S. E Leiter M. P. (1996). Maslach Burnout Inventory, 3rd Edn. Palo Alto CA: Consulting Psychologists Press.

Google Scholar

Maslach, C., and Jackson, S. E. (1981). The measurement of experienced burnout. J. Org. Behav. 2, 99–113. doi: 10.1002/job.4030020205

CrossRef Full Text | Google Scholar

Maslach, C., Jackson, S. E., and Leiter, M. P. (1986). Maslach Burnout Inventory, 2nd Edn. Palo Alto, CA: Consulting Psychologists Press.

Google Scholar

Maslach, C., Schaufeli, W. B., and Leiter, M. P. (2001). Job burnout. Ann. Rev. Psychol. 52, 397–422. doi: 10.1146/annurev.psych.52.1.397

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyers, K., and Thomasson, M. A. (2021). Can pandemics affect educational attainment? evidence from the polio epidemic of 1916. Cliometrica 15, 231–265. doi: 10.1007/s11698-020-00212-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Mishra, S., and Panda, S. (2007). Development and factor analysis of an instrument to measure faculty attitude towardss e-learning. Asian J. Dist. Educ. 5, 27–33. Available online at: https://www.learntechlib.org/p/185134/

Google Scholar

Mota, A. I., Lopes, J., and Oliveira, C. (2021). Burnout in Portuguese teachers: a systematic review. Eur. J. Educ. Res. 10, 693–703. doi: 10.12973/eu-jer.10.2.693

CrossRef Full Text | Google Scholar

*, Oducado, R. M., Rabacal, J., Moralista, R., and Tamdang, K. (2021). Perceived stress due to COVID-19 pandemic among employed professional teachers. Int. J. Educ. Res. Innov. 15, 305–316. doi: 10.2139/ssrn.3743860

PubMed Abstract | CrossRef Full Text | Google Scholar

OECD. (2020a). TALIS 2018 Results: Vol. 2. Teachers and School Leaders as Valued Professionals. Paris: OECD.

Google Scholar

OECD. (2020b). PISA 2018 Results: Vol. 5. Effective Policies, Successful Schools. Paris: OECD.

Google Scholar

OECD. (2022a). Access to Computers From Home (Indicator). OECD.

Google Scholar

OECD. (2022b). Internet Access (Indicator). OECD.

Google Scholar

*, Ozamiz-Etxebarria, N., Berasategi Santxo, N., Idoiaga Mondragon, N., and Dosil Santamaría, M. (2021). The psychological state of teachers during the COVID-19 crisis: the challenge of returning to face-to-face teaching. Front. Psychol. 11, 620718. doi: 10.3389/fpsyg.2020.620718

PubMed Abstract | CrossRef Full Text | Google Scholar

*, Panisoara, I. O., Lazar, I., Panisoara, G., Chirca, R., and Ursu, A. S. (2020). Motivation and continuance intention towards online instruction among teachers during the COVID-19 pandemic: the mediating effect of burnout and technostress. Int. J. Environ. Res. Pub. Health 17, 8002. doi: 10.3390/ijerph17218002

PubMed Abstract | CrossRef Full Text | Google Scholar

Pedrozo-Pupo, J. C., Pedrozo-Cortés, M. J., and Campo-Arias, A. (2020). Perceived stress associated with COVID-19 epidemic in Colombia: An online survey. Cadernos de Saúde Pública 36, e00090520. doi: 10.1590/0102-311x00090520

PubMed Abstract | CrossRef Full Text | Google Scholar

Pfitzner-Eden, F., Thiel, F., and Horsley, J. (2014). An adapted measure of teacher self-efficacy for preservice teachers: exploring its validity across two countries. Zeitschrift für Pädagogische Psychol. 28, 83–92. doi: 10.1024/1010-0652/a000125

CrossRef Full Text | Google Scholar

*, Pozo-Rico, T., Gilar-Corb,í, R., Izquierdo, A., and Castejón, J.-L. (2020). Teacher training can make a difference: tools to overcome the impact of COVID-19 on primary schools. An experimental study. Int. J. Environ. Res. Pub. Health 17, 8633. doi: 10.3390/ijerph17228633

PubMed Abstract | CrossRef Full Text | Google Scholar

*, and Pressley, T. (2021). Factors contributing to teacher burnout during COVID-19. Educ. Res. 50, 325–327. doi: 10.3102/0013189X211004138

PubMed Abstract | CrossRef Full Text | Google Scholar

Price, J. L. (2001). Reflections on the determinants of voluntary turnover. Int. J. Manpower 22, 600–624. doi: 10.1108/EUM0000000006233

CrossRef Full Text | Google Scholar

Putwain, D. W., and von der Embse, N. P. (2019). Teacher self-efficacy moderates the relations between imposed pressure from imposed curriculum changes and teacher stress. Educ. Psychol. 39, 51–64. doi: 10.1080/01443410.2018.1500681

CrossRef Full Text | Google Scholar

*, Rabaglietti, E., Lattke, L. S., Tesauri, B., Settanni, M., and De Lorenzo, A. (2021). A balancing act during Covid-19: teachers' self-efficacy, perception of stress in the distance learning experience. Front. Psychol. 12, 644108. doi: 10.3389/fpsyg.2021.644108

PubMed Abstract | CrossRef Full Text | Google Scholar

Reimers, F. M., and Schleicher, A. (2020). Schooling Disrupted, Schooling Rethought: How the COVID-19 Pandemic Is Changing Education. OECD Publishing. Available online at: https://read.oecd-ilibrary.org/view/?ref=133_133390-1rtuknc0hiandtitle=Schooling-disrupted-schooling-rethought-How-the-Covid-19-pandemic-is-changing-education (accessed March 18, 2022).

Google Scholar

Robinia, K. A. (2008). Online Teaching Self-Efficacy of Nurse Faculty Teaching in Public, Accredited Nursing Programs in the State of Michigan. Doctoral dissertation, Retrieved from ScholarWorks at Western Michigan University database (No. 811) (Kalamazoo, MI).

Google Scholar

Ruiz, F. J., García-Martín, M. B., Suárez-Falcón, J. C., and Odriozola-González, P. (2017). The hierarchical factor structure of the spanish version of depression anxiety and stress scale−21. Int. J. Psychol. Psychol. Ther. 17, 97–105.

Google Scholar

Schwarzer, R., and Jerusalem, M. (1995). “Generalized self-efficacy scale,” in Measures in Health Psychology: A User's Portfolio, eds J. Weinman, S. Wright, and M. Johnston (Windsor: NFER-Nelson), 35–37.

Google Scholar

Seidman, S. A., and Zager, J. (1986). The teacher burnout scale. Educ. Res. Q. 11, 26–33.

Google Scholar

Sheldon, K. M., and Niemiec, C. P. (2006). It's not just the amount that counts: balanced need satisfaction also affects well-being. J. Pers. Soc. Psychol. 91, 331–341. doi: 10.1037/0022-3514.91.2.331

PubMed Abstract | CrossRef Full Text | Google Scholar

Sibilia, L., Schwarzer, R., and Jerusalem, M. (1995). Italian adaptation of the General Self-Efficacy Scale [Resource document]. Ralf Schwarzer at Freie Universität Berlin. Available online at: http://userpage.fu-berlin.de/%7Ehealth/italian.htm (accessed March 18, 2022).

Google Scholar

Skaalvik, E. M., and Skaalvik, S. (2010). Teacher self-efficacy and teacher burnout: a study of relations. Teach. Teacher Educ. 26, 1059–1069. doi: 10.1016/j.tate.2009.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Skaalvik, E. M., and Skaalvik, S. (2011). Teacher job satisfaction and motivation to leave the teaching profession: relations with school context, feeling of belonging, and emotional exhaustion. Teach. Teacher Educ. 27, 1029–1038. doi: 10.1016/j.tate.2011.04.001

CrossRef Full Text | Google Scholar

Skaalvik, E. M., and Skaalvik, S. (2016). Teacher stress and teacher self-efficacy as predictors of engagement, emotional exhaustion, and motivation to leave the teaching profession. Creative Educ. 7, 1785–1799. doi: 10.4236/ce.2016.713182

CrossRef Full Text | Google Scholar

Skaalvik, E. M., and Skaalvik, S. (2017). Dimensions of teacher burnout: relations with potential stressors at school. Soc. Psychol. Educ. 20, 775–790. doi: 10.1007/s11218-017-9391-0

CrossRef Full Text | Google Scholar

*, Sokal, L. J., Eblie Trudel, L., and Babb, J. (2020a). Canadian teachers' attitudes toward change, efficacy, and burnout during the COVID-19 pandemic. Int. J. Educ. Res. Open 1, 100016. doi: 10.1016/j.ijedro.2020.100016

CrossRef Full Text | Google Scholar

*, Sokal, L. J., Eblie Trudel, L. G., and Babb, J. C. (2020b). Supporting teachers in times of change: the job demands-resources model and teacher burnout during the COVID-19 pandemic. Int. J. Contemp. Educ. 3, 67–74. doi: 10.11114/ijce.v3i2.4931

CrossRef Full Text | Google Scholar

Thorell, L. B., Skoglund, C., De la Pena, A. G., Baeyens, D., Fuermaier, A. B. M., Groom, M. J., et al. (2021). Parental experiences of homeschooling during the COVID-19 pandemic: differences between seven European countries and between children with and without mental health conditions. Eur. Child Adolesc. Psychiat. 2021, dsy57. doi: 10.31234/osf.io/dsy57

PubMed Abstract | CrossRef Full Text | Google Scholar

Tschannen-Moran, M., and Woolfolk Hoy, A. (2001). Teacher efficacy: capturing an elusive construct. Teach. Teacher Educ. 17, 783–805. doi: 10.1016/S0742-051X(01)00036-1

CrossRef Full Text | Google Scholar

UNESCO (2021). Education: From Disruption to Recovery. UNESCO. Available online at: https://en.unesco.org/covid19/educationresponse#durationschoolclosures (accessed March 18, 2022).

Google Scholar

Wang, G.-X., Liu, C.-J., and Wu, X.-C. (2003). Development of educator burnout inventory. Psychol. Dev. Educ. 3, 82–86.

PubMed Abstract | Google Scholar

Wang, X., Tan, S. C., and Li, L. (2020). Technostress in university students' technology-enhanced learning: an investigation from multidimensional person-environment misfit. Comput. Hum. Behav. 105, 106208. doi: 10.1016/j.chb.2019.106208

CrossRef Full Text | Google Scholar

*, Weißenfels, M., Klopp, E., and Perels, F. (2021). Changes in teacher burnout and self-efficacy during the COVID-19 pandemic: interrelations and e-learning variables related to change. Front. Educ. 6, 736992. doi: 10.31234/osf.io/54wub

CrossRef Full Text | Google Scholar

Westphal, A., Becker, M., Vock, M., Maaz, K., Neumann, M., and McElvany, N. (2016). The link between teacher-assigned grades and classroom socioeconomic composition: The role of classroom behavior, motivation, and teacher characteristics. Contemp. Educ. Psychol. 46, 218–227. doi: 10.1016/j.cedpsych.2016.06.004

CrossRef Full Text | Google Scholar

Wu, B., and Chen, X. (2017). Continuance intention to use MOOCs: integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Comput. Hum. Behav. 67, 221–232. doi: 10.1016/j.chb.2016.10.028

CrossRef Full Text | Google Scholar

*, Zadok-Gurman, T., Jakobovich, R., Dvash, E., Zafrani, K., Rolnik, B., Ganz, A. B., et al. (2021). Effect of Inquiry Based Stress Reduction (IBSR) intervention on well-being, resilience and burnout of teachers during the COVID-19 pandemic. Int. J. Environ. Res. Pub. Health 18, 3689. doi: 10.3390/ijerph18073689

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhen, R., Quan, L., and Zhou, X. (2018). How does social support relieve depression among flood victims? The contribution of feelings of safety, self-disclosure, and negative cognition. J. Affective Disord. 229, 186–192. doi: 10.1016/j.jad.2017.12.087

PubMed Abstract | CrossRef Full Text | Google Scholar

*, Zhou, X., and Yao, B. (2020). Social support and acute stress symptoms (ASSs) during the COVID-19 outbreak: deciphering the roles of psychological needs and sense of control. Eur. J. Psychotraumatol. 11, 1779494. doi: 10.1080/20008198.2020.1779494

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: burnout, stress, COVID-19, pandemic, K−12 teachers, remote teaching

Citation: Westphal A, Kalinowski E, Hoferichter CJ and Vock M (2022) K−12 teachers' stress and burnout during the COVID-19 pandemic: A systematic review. Front. Psychol. 13:920326. doi: 10.3389/fpsyg.2022.920326

Received: 14 April 2022; Accepted: 05 August 2022;
Published: 02 September 2022.

Edited by:

Katja Upadyaya, University of Helsinki, Finland

Reviewed by:

Tim Pressley, Christopher Newport University, United States
Xinian Jiao, Qingdao University, China

Copyright © 2022 Westphal, Kalinowski, Hoferichter and Vock. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Andrea Westphal, andrea.westphal@uni-greifswald.de

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