- 1Department of Research and Development, University of Teacher Education Bern, Bern, Switzerland
- 2Clinical Psychology and Psychotherapy, Department of Psychology, University of Bern, Bern, Switzerland
- 3Psychosomatic Medicine, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- 4Clinica Holistica Engiadina, Susch, Switzerland
- 5Clinical Psychology and Psychotherapy, Department of Psychology, University of Zurich, Zürich, Switzerland
Teachers report elevated levels of stress and psychosomatic illnesses compared to other professions. Teacher stress has far-reaching consequences on their health outcomes, the student's motivation, and the economy. However, research on teacher stress relies mainly on self-reports, hence, assesses stress on purely subjective perception. Personal or subjective aspects can strongly influence these measures, and biological stress may even be unnoticed. It is, therefore, necessary to include both subjective and objective measures to investigate stress, preferably in real-life situations. This review aims to demonstrate the importance of a psychobiological ambulatory assessment (AA) approach to investigate teacher stress, in contrast to purely subjective measures. We discuss classroom disruptions as the primary stress factor within the classroom and how a multimethod AA approach using psychological measures while simultaneously recording classroom disruptions and biological stress reactions of teachers would enable a much deeper understanding of stressful transactional processes taking place in the classroom that has not been achieved before.
Introduction
The challenges of today’s life often require great mental and physical effort (Mariotti, 2015) and can lead to long-term health and social consequences (La Marca, 2016). Teachers are a particularly stressed professional group and are affected more than average by psychological and psychosomatic complaints (Scheuch et al., 2015). In self-reports, teachers have almost unanimously identified classroom disruptions as the main stress factor in previous empirical studies (Scherzinger and Wettstein, 2019). Short-term psychosocial stressors, such as classroom disruptions, burden and impair the teacher-student relationship and negatively impact the students’ learning and achievement (Klusmann et al., 2016). Also, short-term stress can lead to long-term stress, causing early dropouts from the profession and high follow-up health costs (Künzi and Oesch, 2016). The individual, social, and economic effects of work-related stress in teachers highlight the need for early detection of teachers’ health status and the importance of preventive interventions (Salvagioni et al., 2017). However, it is still unclear under what conditions disruptions occurring in the class trigger acute psychological and physiological stress reactions in teachers (Wettstein et al., 2020). Research on teacher stress so far is mainly based on questionnaires suited for measuring subjective stress experiences, ignoring essential data on real-time physiological stress reactions (Krause et al., 2013; Wettstein et al., 2020). Ambulatory assessment (AA) methods use various assessment methods, including self-reports, observational, and biological/physiological/behavioral measures, to research the participants in their “natural habitats” (Trull and Ebner-Priemer, 2013). This cannot be replicated in the laboratory. Further, AA helps minimize retrospective biases by assessing what is happening at the moment. Despite these advantages, AA methods have been underutilized. A multimethod AA approach using psychological measurements while simultaneously recording classroom disruptions and biophysiological stress reactions of teachers (e.g., by collecting salivary cortisol samples throughout the day and continuously recording teachers’ heart rate variability with mobile sensors) would enable a much deeper understanding of the transactional processes taking place in the classroom that has not been achieved before.
Effects of Teacher Stress
Prevalence and Economic Effects
Teachers have above-average burnout rates compared to other professions (Kyriacou, 2015), and the occupational stress among teachers has increased significantly over the last decade (Aloe et al., 2014). Around 30% of teachers report that the teaching profession is ‘very stressful’ or ‘extremely stressful’ (Kyriacou, 2015). The Gallup Report results from 2014 (Gallup, 2014) indicate that 46% of US teachers report very high daily stress during the school year. According to an SNF study on Swiss teachers from the fifth to the ninth school year, around one-third of teachers feel ‘very stressed’ (Kunz Heim et al., 2014a). Consequently, many teachers leave the profession or retire early (Ingersoll, 2001; Friedman, 2006). 40–50% of those starting their careers quit the job during the first 5 years, which costs US schools 2.2 billion US Dollars a year (Alliance for Excellent Education, 2017). The Swiss State Secretariat for Economic Affairs estimates the cost due to the working population’s stress at 6.5 billion Swiss Francs (approximately 7 billion US Dollars) (Gesundheitsförderung Schweiz, 2020). In the teaching profession alone, diseases due to occupational stress result in costs of 37.6 million Swiss Francs (approximately 40.5 million US Dollars) a year (Künzi and Oesch, 2016).
Effects on Teaching Quality and Students’ Motivation
The teacher’s instructional behavior is influenced by the teacher’s attitude to work and characteristic features like emotional self-regulation (Caprara et al., 2006; Frenzel et al., 2009; Kunter et al., 2013). That also means that stress and emotional exhaustion, a key symptom of burnout, negatively impact the teachers’ instructional behavior and, therefore, the students learning and achievement (Klusmann et al., 2016). The first empirical study to examine this relation included 1,102 German elementary school teachers and showed a significant negative relationship between the teachers’ emotional exhaustion and the student’s achievement in the investigated mathematics class (Klusmann et al., 2016). Also, students notice teachers’ affective state, which influences the students’ valuation of the teachers’ instructional behavior (Evers et al., 2004). Further consequences of burnout symptoms lead to teachers reducing engagement and effort towards lesson planning (Klusmann et al., 2016). Teachers work less efficiently and might get an increasingly emotional and cognitive distance from their work. They may become more critical of students’ performances and less likely to encourage them (Klusmann et al., 2016). As a result, students may feel less competent and less motivated, affecting their academic achievements negatively. Accordingly, early recognition of teachers’ health status and preventive measures are of great value, not just for teachers but also for students (Klusmann et al., 2016; Salvagioni et al., 2017). The inclusion of biological measurement tools alongside self-reports could play an essential role in the early detection of stress-related illnesses (Gidlow et al., 2016).
Sources of Teacher Stress
The sources of teacher stress are diverse and range from the usual stressors of life-phases, critical life events, everyday stress to social stressors (e.g., lack of social support) (Hillert et al., 2004; Rothland, 2013). Krause et al. (2013) summarize research to date on numerous potentially relevant psychosocial stress factors in the teaching profession. Significant links between stress in the classroom and resources such as support by the teaching staff and school management belonged to everyday school life.
Everyday School Life
Teachers consider disruptions by students during teaching (from now on referred to as ‘classroom disruptions’), a lack of student motivation, and problems with maintaining discipline in the classroom to be the main risk factors for teacher health, in addition to factors outside the school (Kyriacou, 2001). Especially in combination with time pressure and lack of recovery breaks, classroom disruptions prove to be predictors of stress consequences (Krause, 2004) and are closely related to burnout among teachers (Brouwers and Tomic, 1999; Brouwers and Tomic, 2000; Evers et al., 2004; Friedman, 2006).
Classroom Disruptions
Within the school, teachers cite classroom disruptions as the main reason for career exit (Ingersoll, 2001; Herzog et al., 2005; Lewis et al., 2005; Makarova et al., 2014) and early retirement (Helmke, 2009). There are different definitions and approaches of classroom disruptions: Ortner and Ortner (2000) focus on disruptive student behavior, i.e., actions and reactions against the teacher, fellow students, or the consciously disregarding of school norms by students. Eckstein et al. (2016) investigate the subjective sense of disruption of teachers and students. Winkel (2005) and Lohmann (2011) concentrate on the teaching-learning process and thus move away from an individual-centered perspective. They understand classroom disruptions as impairments or interruption of the teaching-learning process by partly or entirely overriding the conditions under which teaching and learning can occur.
Wettstein et al. (2018) distinguish between aggressive and non-aggressive classroom disruptions. For teachers, aggressive classroom disruptions, especially attacks against the teacher’s authority, seem highly stressful (Lehr, 2004; Scherzinger et al., 2017). Aggressive classroom disruptions include verbal or physical intentional behavior that leads to personal injury or destruction of property (Bandura and Olligschläger, 1979). Non-aggressive classroom disruptions include those behaviors that interfere with the teaching-learning process but do not characterize aggression. According to the results of a study by Scherzinger et al. (2018), about 80% of the cases are non-aggressive disruptions.
Teacher Aggression
A multimethod study (Scherzinger et al., 2018) showed that about 95% of the observed classroom disruptions originate from the students. However, since teaching is a reciprocal social event, it is essential to note that teachers can also contribute to classroom disruptions through their behavior and actions in class (Fend, 2008; Helmke, 2009). The most often observed forms of teacher aggression include exposure, denigration, and unfair treatment (Wettstein et al., 2018). Responding to perceived classroom disruptions with this kind of behavior contributes to further disruptions, and lengthy negotiations between teachers and students often follow (Wettstein, 2010). Research shows that some pedagogical interventions effectively influence students’ behavioral outcomes than others (Foisy et al., 2020). Teachers who already have an increased stress level may react inadequately to unwanted student behavior, unintentionally contributing to further aggravation (Wettstein et al., 2010). Some teachers respond inappropriately due to a lack of skills and resources and, consequently, experience more stress. This raises the question of the causal link between classroom disruptions and the stress reactions of teachers.
Methodological-Didactical Setting
Finally, teacher stress also depends on the methodical-didactical setting. Methodical-didactical settings in the classroom are methods teachers use to structure lessons to promote student learning. They combine social forms and different activity classes, each having other demands on the teacher. There are so-called transition phases between the method changes, e.g., from frontal teaching to individualized student work. For teachers, it is challenging to transition students efficiently between teaching methods. Long or disorganized transition phases result in a loss of valuable time for teaching and learning and increase student misbehavior (Wettstein, 2008). Up to five times more aggressive student behavior occurs during transition phases than during actual teaching (Wettstein, 2008). Thus, we assume that teacher stress varies between different methodological-didactic settings in the classroom.
Here, a psychobiological approach in an AA design could be of great benefit: systematic video observations of lectures, including classroom disruptions, teacher aggressions, and the methodological-didactic settings while simultaneously measuring teachers’ biological stress responses and subjectively perceived stress. Combined, these methods would generate a high density of data that could give a much deeper understanding of the teachers’ work environments and individual psychobiological stress responses than the one-sided use of self-reports, as discussed in the following.
A Psychobiological Approach on Teacher Stress
Psychological research on stress in the teaching profession has primarily focused on teachers’ psychosocial stress through self-disclosure, i.e., subjective perceptions (Krause et al., 2013; Wettstein et al., 2020). These are, in general, retrospectively single-surveyed with questionnaires. But this one-sided and subjective approach is not only prone to social desirability (Furnham, 1986). It also makes it hardly possible for researchers to clarify whether different data on existing burdens can be attributed to objectively other working conditions or subjectively different teachers’ perceptions. Furthermore, numerous unconscious physiological stress reactions are associated with psychosocial stress (Wettstein et al., 2020). When an individual responds to an internal or external stressor, the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis are activated (Black, 2002). Neuroendocrine circuits are stimulated, enabling the organism to respond to stress adequately before returning to its original state of homeostasis (Mariotti, 2015). The way an individual can predict and control a stressor usually determines how quickly and efficiently the resulting stress response is activated and adjusted and how quickly homeostasis is restored. Personality and socio-environmental factors are crucial in how well an individual can adapt to stress (Black, 2002). If an individual cannot cope adequately with a stressor because it is perceived as too intense or too long-lasting, homeostasis does not follow the stress response (Mariotti, 2015). Instead, the neuroendocrine parameters remain altered, and disease may occur.
AA on psychosocial stress in teachers, combined with physiological stress reactions, would be of great value in examining and predicting teacher stress. Therefore, to achieve a much higher information density, Krause et al. (2013) and Maslach and Leiter (1999) recommend that future research should not be limited to single retrospective self-disclosures by teachers. Instead, it should also include investigating teacher stress on a physiological level, for example, by assessing teachers’ cortisol levels before, during, and after lessons (Klusmann et al., 2016).
Studies by Bickhoff (2002) and Steptoe et al. (2000) showed that teachers’ cortisol levels increased during cognitive engagement with upcoming classroom situations while teaching itself did not strongly influence cortisol levels. A higher cortisol awakening response could reflect the upcoming day’s demands (Kunz-Ebrecht et al., 2004). Furthermore, teachers’ cortisol levels at the end of classes in the afternoon differed significantly from their cortisol levels on free days, referring to ongoing cognitive challenges with incidents from the school day (Bickhoff, 2002).
Physiological stress research is increasingly turning to real-life settings (Kappeler-Setz et al., 2010; Gravenhorst et al., 2012; Kappeler-Setz et al., 2013; Papastefanou, 2013). More and more portable microcomputer systems and physiological measuring devices have been developed in recent decades, allowing investigations in everyday situations in the field, not only under controlled laboratory conditions (Fahrenberg et al., 2007). While laboratory research enables strict experimental control of possible interfering variables, field investigations show a lower standardization but can investigate physiological reactions to different everyday situations (La Marca, 2016). Laboratory and field research are complementary approaches. Combining both methods can obtain a robust and ecologically valid measure of teacher stress in concrete teaching situations and different situations throughout the day.
Discussion
What are the theoretical and practical implications? From a theoretical point of view, the individual, social, and economic impact of work stress among teachers underlines the need for early detection of the teacher’s health status and the importance of preventive interventions (Salvagioni et al., 2017). The inclusion of biological measures can be a valuable predictor of stress-related physical and mental illnesses (Gidlow et al., 2016). However, in research on stress among teachers, self-reports are the primary research tool (Krause et al., 2013; Wettstein et al., 2020). These are suitable for assessing teachers’ subjective psychological stress, but difficulties in recalling memories from the past, subjective perceptions, and reporting biases can affect such measures (Gow, 2010; Prado-Gascó et al., 2019). Moreover, self-reports do not provide reliable data on biological stress responses. It is often challenging to interpret biological processes adequately (Campbell and Ehlert, 2012; Pennebaker, 1982), and biological stress measurements are not always consistent with subjective stress perception (La Marca, 2016). Further, combining subjective and biological measures of stress using AA techniques such as observational and biological/physiological/behavioral measures would allow research in real-life situations in an ecologically valid manner in teachers’ natural environments (Fahrenberg et al., 2007; Prado-Gascó et al., 2019). From a practical perspective, understanding teachers’ psychobiological stress responses to classroom disruptions can help develop a theory to counteract negative behavioral responses to reduce work-related stress for teachers and the consequences for students. Moreover, a psychobiological AA approach would significantly improve our understanding of teacher stress, provide valuable information for a health-promoting school environment, and contribute to teachers’ primary and secondary stress prevention.
In this review, we refer to psychobiological stress research on teachers in the context of classroom disruptions. However, teacher characteristics and personal factors such as emotional stability, work commitment, and life satisfaction should also be investigated as possible sources or protective factors of teacher stress. They may play a significant role in teachers’ individual stress responses to classroom disruptions. The research team found gaps in the literature on a psychobiological approach to stress research in teachers. However, an ongoing study by the University of Teacher Education Bern, the University of Bern, the University of Zurich, and the Clinica Holistica Engiadina in Susch are now investigating how aggressive and non-aggressive classroom disruptions trigger acute stress responses in teachers that may affect teacher health in the medium to long term—using AA techniques and systematic classroom observation, self-reports, saliva samples, and HRV (re)activity that are continuously recorded during workdays and a free day. Future studies on this topic could help promote the effective use of AA technologies to apply research to real-life situations. In addition, future studies could deepen the investigation of the relationship between subjective and biological stress and determine what measures and under what circumstances a relationship does or does not exist, including consideration of teacher characteristics and psychological data.
Conclusion
The purpose of this review was to illustrate a psychobiological AA approach to the research of teacher stress. We discussed classroom disruptions as the primary stressor in the classroom and how a multimethod AA approach would provide a much deeper understanding of the stressful transactional processes occurring in the classroom. The inclusion of biological measures may be a valuable predictor of stress-related illnesses and provide feedback to teachers about the predominantly unconscious biological (re)activity that makes teachers aware of their stress responses under certain circumstances.
Author Contributions
AW and RLM conceptualized the research. SS and AW prepared the first draft. RLM and MG provided insightful comments that critically improved the manuscript quality.
Funding
This research was funded by the Swiss National Science Foundation SNF, grant number 100019_185484 and the University of Teacher Education Bern, grant number 16 w 0008 02.
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.
References
Alliance for Excellent Education (2017). Teacher Attrition Costs United States up to $2.2 Billion Annually, Says New alliance Report. Retrieved from Available at: https://all4ed.org/press/teacher-attrition-costs-united-states-up-to-2-2-billion-annually-says-new-alliance-report/.
Aloe, A. M., Amo, L. C., and Shanahan, M. E. (2014). Classroom Management Self-Efficacy and Burnout: A Multivariate Meta-Analysis. Educ. Psychol. Rev. 26 (1), 101–126. doi:10.1007/s10648-013-9244-0
Bickhoff, M. (2002). Psychische und körperliche Belastung bei Lehrkräften. 2 Edn. Eichstätt: Diritto.
Black, P. H. (2002). Stress and the Inflammatory Response: A Review of Neurogenic Inflammation. Brain Behav. Immun. 16 (6), 622–653. doi:10.1016/S0889-1591(02)00021-1
Brault Foisy, L. M., Matejko, A. A., Ansari, D., and Masson, S. (2020). Teachers as Orchestrators of Neuronal Plasticity: Effects of Teaching Practices on the Brain. Mind, Brain Edu. 14, 415–428. doi:10.1111/mbe.12257
Brouwers, A., and Tomic, W. (1999). Teacher Burnout, Perceived Self-Efficacy in Classroom Management, and Student Disruptive Behaviour in Secondary Education. Curric Teach. 14 (2), 7–26. doi:10.7459/ct/14.2.02
Brouwers, A., and Tomic, W. (2000). A Longitudinal Study of Teacher Burnout and Perceived Self-Efficacy in Classroom Management. Teach. Teach. Edu. 16 (2), 239–253. doi:10.1016/s0742-051x(99)00057-8
Caprara, G. V., Barbaranelli, C., Steca, P., and Malone, P. S. (2006). Teachers' Self-Efficacy Beliefs as Determinants of Job Satisfaction and Students' Academic Achievement: A Study at the School Level. J. Sch. Psychol. 44 (6), 473–490. doi:10.1016/j.jsp.2006.09.001
Eckstein, B., Grob, U., and Reusser, K. (2016). Unterrichtliche Devianz und subjektives Störungsempfinden. Entwicklung eines Instrumentariums zur Erfassung von Unterrichtsstörungen. Empirische Pädagogik, 30(1), 113–129.
Evers, W. J. G., Tomic, W., and Brouwers, A. (2004). Burnout Among Teachers. Sch. Psychol. Int. 25 (2), 131–148. doi:10.1177/0143034304043670
Fahrenberg, J., Myrtek, M., Pawlik, K., and Perrez, M. (2007). Ambulatory Assessment - Monitoring Behavior in Daily Life Settings. Eur. J. Psychol. Assess. 23 (4), 206–213. doi:10.1027/1015-5759.23.4.206
Fend, H. (2008). Schule Gestalten. Wiesbaden: VS Verlag für Sozialwissenschaften. doi:10.1007/978-3-531-90867-0
Frenzel, A. C., Goetz, T., Lüdtke, O., Pekrun, R., and Sutton, R. E. (2009). Emotional Transmission in the Classroom: Exploring the Relationship between Teacher and Student Enjoyment. J. Educ. Psychol. 101 (3), 705–716. doi:10.1037/a0014695
Friedman, I. A. (2006). “Classroom Management and Teacher Stress and Burnout,” in Handbook of Classroom Management. Research, Practice, and Contemporary Issues. Editors C. M. Evertson, and C. S. Weinstein (Mahwah: Lawrence Erlbaum), 925–944.
Furnham, A. (1986). Response Bias, Social Desirability and Dissimulation. Pers. Individ. Differ. 7 (3), 385–400. doi:10.1016/0191-8869(86)90014-0
Gallup (2014). State of America's Schools: The Path to Winning Again in Education. Available at: www.gallup.com/services/176003/state-america-schools-%20report.aspx.
Gravenhorst, F., Tessendorf, B., Muaremi, A., Kappeler-Setz, C., Arnrich, B., and Tröster, G. (2012). Mobile System for Unobtrusive Monitoring of Electrodermal Activity in Daily Life. International Workshop on Ubiquitous Health and Wellness. Newcastle, UK: UbiHealth.
Helmke, A. (2009). Unterrichtsqualität und Lehrerprofessionalität. Diagnose, Evaluation und Verbesserung des Unterrichts. Kallmeyer: Seelze-Velber.
Herzog, W., Herzog, S., Brunner, A., and Müller, H. P. (2005). Einmal Lehrer immer Lehrer? Eine vergleichende Untersuchung der Berufskarrieren von (ehemaligen) Primarlehrpersonen. Haupt: Bern.
Hillert, A., Schmitz, E., and Hrsg, . (2004). Psychosomatische Erkrankungen bei Lehrerinnen und Lehrern. Stuttgart: Schattauer.
Ingersoll, R. M. (2001). Teacher Turnover and Teacher Shortages: An Organizational Analysis. Am. Educ. Res. J. 38 (3), 499–534. doi:10.3102/00028312038003499
Kappeler-Setz, C., Gravenhorst, F., Schumm, J., Arnrich, B., and Tröster, G. (2013). Towards Long Term Monitoring of Electrodermal Activity in Daily Life. Pers Ubiquit Comput. 17 (2), 261–271. doi:10.1007/s00779-011-0463-4
Klusmann, U., Richter, D., and Lüdtke, O. (2016). Teachers' Emotional Exhaustion Is Negatively Related to Students' Achievement: Evidence from a Large-Scale Assessment Study. J. Educ. Psychol. 108 (8), 1193–1203. doi:10.1037/edu0000125
Krause, A., Dorsemagen, C., and Meder, L. (2013). “Messung psychischer Belastungen im Unterricht mit RHIA-Unterricht,” in Belastung und Beanspruchung im Lehrerberuf (S. 99-116). Editor M. Rothland (Wiesbaden: VS Verlag). doi:10.1007/978-3-531-18990-1_6
Krause, A. (2004). Erhebung aufgabenbezogener psychischer Belastungen im Unterricht - ein Untersuchungskonzept. Z. für Arbeits- Organisationspsychologie A&O 48 (3), 139–147. doi:10.1026/0932-4089.48.3.139
Künzi, K., and Oesch, T. (2016). Berufsbedingte Krankheitskosten der Lehrpersonen. Teilprojekt des LCH im Rahmen des Projekts Gesundheit der Lehrpersonen. Schlussbericht. Bern: Büro BASS. Available at: www.lch.ch/fileadmin/files/documents/Medienmitteilungen/170110_StudieBueroBass_KrankheitskostenLehrpersonenSchlussbericht.pdf.
Kunter, M., Klusmann, U., Baumert, J., Richter, D., Voss, T., and Hachfeld, A. (2013). Professional Competence of Teachers: Effects on Instructional Quality and Student Development. J. Educ. Psychol. 105 (3), 805–820. doi:10.1037/a0032583
Kunz Heim, D., Sandmeier, A., and Krause, A. (2014a). Negative Beanspruchungsfolgen bei Schweizer Lehrpersonen. Beiträge zur Lehrerbildung 32 (2), 280–295. doi:10.24452/sjer.39.1.5000
Kunz-Ebrecht, S. R., Kirschbaum, C., Marmot, M., and Steptoe, A. (2004). Differences in Cortisol Awakening Response on Work Days and Weekends in Women and Men from the Whitehall II Cohort. Psychoneuroendocrinology 29 (4), 516–528. doi:10.1016/S0306-4530(03)00072-6
Kyriacou, C. (2001). Teacher Stress: Directions for Future Research. Educ. Rev. 53 (1), 27–35. doi:10.1080/00131910120033628
Kyriacou, C. (2015). “Teacher Stress and Burnout: Methodological Perspectives,” in International Encyclopedia of the Social & Behavioral Sciences (Elsevier), 72–74. doi:10.1016/B978-0-08-097086-8.92087-7
La Marca, R. (2016). “Methoden der Verhaltensmedizin,” in Verhaltensmedizin. Editor U. Ehlert (Berlin: Springer-Verlag), 65–98.
Lehr, D. (2004). “Psychosomatisch erkrankte und ‘gesunde’ Lehrkräfte: Auf der Suche nach den entscheidenden Unterschieden,” in Psychosomatische Erkrankungen bei Lehrerinnen und Lehrern: Ursachen, Folgen, Lösungen (S. 120-140). Editors A. Hillert, and E. Schmitz (Stuttgart: Schattauer).
Lewis, R., Romi, S., Qui, X., and Katz, Y. J. (2005). Teachers' Classroom Discipline and Student Misbehavior in Australia, China and Israel. Teach. Teach. Edu. 21 (6), 729–741. doi:10.1016/j.tate.2005.05.008
Lohmann, G. (2011). Mit Schülern klarkommen. Professioneller Umgang mit Unterrichtsstörungen und Disziplinkonflikten. Berlin: Cornelsen Verlag.
Makarova, E., Herzog, W., and Schönbächler, M.-T. (2014). Wahrnehmung und Interpretation von Unterrichtsstörungen aus Schülerperspektive sowie aus Sicht der Lehrpersonen. Psychol. Erziehung Unterricht 61 (2), 127–140. doi:10.2378/peu2014.art11d
Mariotti, A. (2015). The Effects of Chronic Stress on Health: New Insights into the Molecular Mechanisms of Brain-Body Communication. Future Sci. OA 1 (3), FSO23–21. doi:10.4155/fso.15.21
Maslach, C., and Leiter, M. P. (1999). “Teacher Burnout: A Research Agenda,” in Understanding and Preventing Teacher Burnout. A Source Book of International Research and Practice. Editors R. Vandenberghe, and A.M. Huberman (Cambridge, UK: Cambridge University Press), 295–303. doi:10.1017/cbo9780511527784.021
Papastefanou, G. (2013). Experimentelle Validierung eines Sensor-Armbandes zur mobilen Messung physiologischer Stress-Reaktionen. GESIS-Technical Reports 2013|07. Mannheim: GESIS – Leibniz-Institut für Sozialwissenschaften.
Prado-Gascó, V., de la Barrera, U., Sancho-Castillo, S., de la Rubia-Ortí, J. E., and Montoya-Castilla, I. (2019). Perceived Stress and Reference Ranges of Hair Cortisol in Healthy Adolescents. PLOS ONE 14 (4), e0214856. doi:10.1371/journal.pone.0214856
Rothland, M. H. (2013). Belastung und Beanspruchung im Lehrerberuf (2. Aufl.). Wiesbaden: Springer VS.
Salvagioni, D. A. J., Melanda, F. N., Mesas, A. E., González, A. D., Gabani, F. L., and Andrade, S. M. (2017). Physical, Psychological and Occupational Consequences of Job Burnout: A Systematic Review of Prospective Studies. PLOS ONE 12 (10), e0185781. doi:10.1371/journal.pone.0185781
Scherzinger, M., and Wettstein, A. (2019). Classroom Disruptions, the Teacher-Student Relationship and Classroom Management from the Perspective of Teachers, Students and External Observers: a Multimethod Approach. Learn. Environ. Res. 22 (1), 101–116. doi:10.1007/s10984-018-9269-x
Scherzinger, M., Wettstein, A., and Wyler, S. (2017). Unterrichtsstörungen aus der Sicht von Schülerinnen und Schülern und ihren Lehrpersonen. Ergebnisse einer Interviewstudie zum subjektiven Erleben von Störungen. Vierteljahresschrift für Heilpädagogik und ihre Nachbargebiete, 86, 70–83.
Scherzinger, M., Wettstein, A., and Wyler, S. (2018). Aggressive und nicht aggressive Unterrichtsstörungen durch Schülerinnen und Schüler sowie durch Klassen- und Fachlehrpersonen – eine Videostudie. Empirische Sonderpädagogik 4, 388–407.
Scheuch, K., Haufe, E., and Seibt, R. (2015). Teachers' Health. Dtsch Arztebl Int. 112 (20), 347–356. doi:10.3238/arztebl.2015.0347
Schweiz, G. (2020). Job-Stress-Index 2020. Monitoring von Kennzahlen zum Stress bei Erwerbstätigen in der Schweiz. Available at: https://gesundheitsfoerderung.ch/assets/public/documents/de/5-grundlagen/publikationen/bgm/faktenblaetter/Faktenblatt_048_GFCH_2020-09_-_Job-Stress-Index_2020.pdf.
Setz, C., Arnrich, B., Schumm, J., La Marca, R., Tröster, G., and Ehlert, U. (2010). Discriminating Stress from Cognitive Load Using a Wearable EDA Device. IEEE Trans. Inf. Technol. Biomed. 14 (2), 410–417. doi:10.1109/TITB.2009.2036164
Steptoe, A., Cropley, M., Griffith, J., and Kirschbaum, C. (2000). Job Strain and Anger Expression Predict Early Morning Elevations in Salivary Cortisol. Psychosom Med. 62 (2), 286–292. doi:10.1097/00006842-200003000-00022
Trull, T. J., and Ebner-Priemer, U. (2013). Ambulatory Assessment. Annu. Rev. Clin. Psychol. 9 (1), 151–176. doi:10.1146/annurev-clinpsy-050212-185510
Wettstein, A., Thommen, B., and Eggert, A. (2010). Die Bedeutung didaktischer Aspekte in der Aggressionsprävention - drei Videostudien. Peu. 57, 88–106. doi:10.2378/peu2010.art07d
Wettstein, A., Ramseier, E., and Scherzinger, M. (2018). Empirische Arbeit: Eine Mehrebenenanalyse zur Schülerwahrnehmung von Störungen im Unterricht der Klassen- und einer Fachlehrperson. Psychol. Erziehung Unterricht 65 (1), 1–16. doi:10.2378/peu2018.art01d
Wettstein, A., Kühne, F., Tschacher, W., and La Marca, R. (2020). Ambulatory Assessment of Psychological and Physiological Stress on Workdays and Free Days Among Teachers. A Preliminary Study. Front. Neurosci. 14, 112. doi:10.3389/fnins.2020.00112
Wettstein, A. (2008). Beobachtungssystem zur Analyse aggressiven Verhaltens in schulischen Settings (BASYS). Bern: Huber.
Keywords: stress, teaching, ambulatory assessment, mixed method approach, psychobiology of stress
Citation: Wettstein A, Schneider S, grosse Holtforth M and La Marca R (2021) Teacher Stress: A Psychobiological Approach to Stressful Interactions in the Classroom. Front. Educ. 6:681258. doi: 10.3389/feduc.2021.681258
Received: 16 March 2021; Accepted: 23 August 2021;
Published: 09 September 2021.
Edited by:
Jin Su Jeong, University of Extremadura, SpainReviewed by:
Dajung Diane Shin, Korea University, South KoreaTeresa Pozo-Rico, University of Alicante, Spain
Copyright © 2021 Wettstein, Schneider, grosse Holtforth and La Marca. 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: Alexander Wettstein, YWxleGFuZGVyLndldHRzdGVpbkBwaGJlcm4uY2g=