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A Meta-analysis of the Impact of Social and Emotional Learning Interventions on Teachers’ Burnout Symptoms

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Abstract

Over the last decades, extensive research has given considerable attention to teachers’ burnout. Owing to its negative personal, organizational, and social impacts (e.g., mental ill health, decreased work performance, turnover), intervention and prevention efforts have consequently been employed to minimize the effects of this phenomenon/syndrome. As teaching-specific stressors are mainly related to the socio-emotional domain, interventions targeting social and emotional learning (SEL) for teachers have been seen to increase in recent years. A meta-analysis of 13 empirical studies was conducted to investigate the effects of SEL interventions on teachers’ burnout. Results showed a statistically significant medium effect size favoring the experimental group regarding the impact of SEL on emotional exhaustion (g = − 0.37, 95% CI [− 0.70, − 0.03]) and personal accomplishment (g = 0.45, 95% CI [0.12, 0.79]). Impacts on depersonalization (g =− 0.51, 95% CI [− 1.13, 0.11]) were found to be not statistically significant. Meta regression analyses found narrower confidence intervals for interventions carried out over 3 months and tailored to the precise needs of class-level teachers for personal accomplishment. The findings add to the growing empirical evidence of the contribution of SEL interventions to improving teachers’ personal accomplishment, identified in prior literature as a mitigating factor of teacher burnout syndrome and diminishing their emotional exhaustion, thus sustaining the importance of promoting SEL within teacher training. As for their practical and methodological implications, the results contribute to understanding the role of the specific features of SEL interventions, and also important features of research design and methodological constraints, which may impact the effectiveness of these interventions.

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Notes

  1. Despite inconsistencies in the assessment of personal accomplishment symptoms presented in the literature (for detailed information see Bresó et al., 2007), most of the research on burnout presents its results in view of alterations in participants’ perceived personal accomplishment (i.e., positively phrased items) and therefore, our research questions and results were established accordingly.

References

  • Ahola, K., Toppinen-Tanner, S., & Seppänen, J. (2017). Interventions to alleviate burnout symptoms and to support return to work among employees with burnout: Systematic review and meta-analysis. Burnout Research, 4, 1–11. https://doi.org/10.1016/j.burn.2017.02.001.

    Article  Google Scholar 

  • *Ancona, M. R., & Mendelson, T. (2014). Feasibility and preliminary outcomes of a yoga and mindfulness intervention for school teachers. Advances in School Mental Health Promotion, 7(3), 156–170. https://doi.org/10.1080/1754730X.2014.920135.

  • Awa, W. L., Plaumann, M., & Walter, U. (2010). Burnout prevention: A review of intervention programs. Patient Education and Counseling, 78(2), 184–190. https://doi.org/10.1016/j.pec.2009.04.008.

    Article  Google Scholar 

  • Bagnall, A., Jones, R., Akter, H., & Woodall, J. R. (2016). Interventions to prevent burnout in high risk individuals: Evidence review. Available at http://eprints.leedsbeckett.ac.uk/2371/.

  • Bresó, E., Salanova, M., & Schaufeli, W. B. (2007). In search of the “third dimension” of burnout: Efficacy or inefficacy? Applied Psychology, 56(3), 460–478. https://doi.org/10.1111/j.1464-0597.2007.00290.x.

    Article  Google Scholar 

  • Brewer, E. W., & Shapard, L. (2004). Employee burnout: A meta-analysis of the relationship between age or years of experience. Human Resource Development Review, 3(2), 102–123. https://doi.org/10.1177/1534484304263335.

    Article  Google Scholar 

  • *Carvalho, J. S., Marques Pinto, A., & Marôco, J. (2017). Results of a mindfulness-based social-emotional learning program on portuguese elementary students and teachers: A quasi-experimental study. Mindfulness, 8(2), 337–350. https://doi.org/10.1007/s12671-016-0603-z.

  • *Castillo, R., Fernández-Berrocal, P., & Brackett, M. A. (2013). Enhancing teacher effectiveness in Spain: A pilot study of the RULER approach to social and emotional learning. Journal of Education and Training Studies, 1(2), 263–272. https://doi.org/10.11114/jets.v1i2.203.

  • *Castillo-Gualda, R., García, V., Pena, M., Galán, A., & Brackett, M. A. (2017). Resultados preliminares del método RULER en la inteligencia emocional y el compromiso laboral de profesores Españoles. Electronic Journal of Research in Education Psychology, 15(43), 641–664. https://doi.org/10.14204/ejrep.43.17068.

  • Coburn, K. M. (2018). A weight-function model for moderators of publication bias. Doctoral dissertation, University of California. Retrieved from https://escholarship.org/uc/item/3t6993k2.

  • Coburn, K., & Vevea, J. L. (2019). weightr: Estimating weight-function models for publication bias. Retrieved from https://CRAN.R-project.org/package=weightr.

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum ISBN: 0-8058-0283-5.

  • Core Team, R. (2018). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing Available at https://www.R-project.org/.

  • Deci, E., & Ryan, R. (1985). Intrinsic motivation and self-determination in human behavior. Plenum Press ISBN: 978-1-4899-2271-7.

  • Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037//0021-9010.86.3.499.

    Article  Google Scholar 

  • *Domitrovich, C. E., Bradshaw, C. P., Berg, J. K., Pas, E. T., Becker, K. D., Musci, R., Embry D. D. Ialongo, N. (2016). How do school-based prevention programs impact teachers? Findings from a randomized trial of an integrated classroom management and social-emotional program. Prevention Science, 17(3), 325–337. https://doi.org/10.1007/s11121-015-0618-z.

  • Durlak, J. A., Domitrovich, C. E., Weissberg, R. P., & Gulotta, T. P. (2015). Handbook of social and emotional learning: Research and practice (1st ed.). Guilford Publications ISBN: 978-1-4625-2015-2.

  • Elias, M. J., Zins, J. E., Weissberg, R. P., Frey, K. S., Greenberg, M. T., Haynes, N. M., ... Shriver, T. P. (1997). Promoting social and emotional learning: Guidelines for educators. Virginia: Association for Supervision and Curriculum Development. ISBN: 1-4166-0261-5.

  • *Figueiredo-Ferraz, H., Gil-Monte, P. R., do Couto, B. R., & Grau-Alberola, E. (2013). Influence of a cognitive behavioural training program on health: A study among primary teachers. Revista de Psicodidáctica, 18(2), 343–356. https://doi.org/10.1387/RevPsicodidact.6995.

  • Fisher, Z., & Tipton, E. (2015). Robumeta: An R-package for robust variance estimation in meta-analysis. Retrieved from https://arxiv.org/pdf/1503.02220.pdf.

  • Fisher, Z., Tipton, E., & Zhipeng, H. (2017). Robumeta: Robust variance meta-regression. R package version 2.0. Available at https://CRAN.R-project.org/package=robumeta.

  • *Flook, L., Goldberg, S. B., Pinger, L., Bonus, K., & Davidson, R. J. (2013). Mindfulness for teachers: A pilot study to assess effects on stress, burnout, and teaching efficacy. Mind, Brain, and Education, 7(3), 182–195. https://doi.org/10.1111/mbe.12026.

  • *Frank, J. L., Reibel, D., Broderick, P., Cantrell, T., & Metz, S. (2015). The effectiveness of mindfulness-based stress reduction on educator stress and well-being: Results from a pilot study. Mindfulness, 6(2), 208–216. https://doi.org/10.1007/s12671-013-0246-2.

  • Garden, A. M. (1987). Depersonalization: A valid dimension of burnout? Human Relations, 40(9), 545–559. https://doi.org/10.1177/001872678704000901.

    Article  Google Scholar 

  • Gil-Monte, P. R., & Olivares, V. (2011). Psychometric properties of the “Spanish Burnout Inventory” in Chilean professionals working to physical disabled people. The Spanish Journal of Psychology, 14(1), 441–451. https://doi.org/10.5209/rev_SJOP.2011.v14.n1.40.

    Article  Google Scholar 

  • Greenberg, M. T., & Abenavoli, R. (2017). Universal interventions: Fully exploring their impacts and potential to produce population-level impacts. Journal of Research on Educational Effectiveness, 10(1), 40–67. https://doi.org/10.1080/19345747.2016.1246632.

    Article  Google Scholar 

  • Greenberg, M. T., Weissberg, R. P., O'Brien, M. U., Zins, J. E., Fredericks, L., Resnik, H., & Elias, M. J. (2003). Enhancing school-based prevention and youth development through coordinated social, emotional, and academic learning. American Psychologist, 58(6-7), 466–474. https://doi.org/10.1037/0003-066X.58.6-7.466.

    Article  Google Scholar 

  • Gulamhussein, A. (2013). Teaching the teachers: Effective professional development in an era of high stakes accountability. Center for Public Education. Available at http://conference.ohioschoolboards.org/2017/wp-content/uploads/sites/17/2016/07/1pm111317A114Job-embedPD.pdf.

  • Harrer, M. & Ebert, D. D. (2018). Doing meta-analysis in R: A practical guide. PROTECT Lab Friedrich-Alexander University Erlangen-Nuremberg. Available at https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/.

  • *Harris, A. R., Jennings, P. A., Katz, D. A., Abenavoli, R. M., & Greenberg, M. T. (2016). Promoting stress management and wellbeing in educators: Feasibility and efficacy of a school-based yoga and mindfulness intervention. Mindfulness, 7(1), 143–154. https://doi.org/10.1007/s12671-015-0451-2.

  • Higgins, J. P., Altman, D. G., Gøtzsche, P. C., Jüni, P., Moher, D., Oxman, A. D., et al. (2011). The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. British Medical Journal, 343(oct18 2), d5928. https://doi.org/10.1136/bmj.d5928.

    Article  Google Scholar 

  • Higgins, J. P., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (2019). Cochrane handbook for systematic reviews of interventions. John Wiley & Sons https://handbook-5-1.cochrane.org/front_page.htm. Accessed 30 Oct 2020

  • Higgins, J., Thompson, S., Deeks, J., & Altman, D. (2003). Measuring inconsistency in meta analyses. British Medical Journal, 327(7414), 557–560. https://doi.org/10.1136/bmj.327.7414.557.

    Article  Google Scholar 

  • Iancu, A. E., Rusu, A., Măroiu, C., Păcurar, R., & Maricuţoiu, L. P. (2018). The effectiveness of interventions aimed at reducing teacher burnout: A meta-analysis. Educational Psychology Review, 30(2), 373–396. https://doi.org/10.1007/s10648-017-9420-8.

    Article  Google Scholar 

  • *Jennings, P. A., Frank, J. L., Snowberg, K. E., Coccia, M. A., & Greenberg, M. T. (2013). Improving classroom learning environments by Cultivating Awareness and Resilience in Education (CARE): Results of a randomized controlled trial. School Psychology Quarterly, 28(4), 374–390. https://doi.org/10.1037/spq0000035.

  • Jennings, P. A., & Greenberg, M. T. (2009). The prosocial classroom: Teacher social and emotional competence in relation to student and classroom outcomes. Review of Educational Research, 79(1), 491–525. https://doi.org/10.3102/0034654308325693.

    Article  Google Scholar 

  • Jennings, P. A., Brown, J. L., Frank, J. L., Doyle, S., Oh, Y., Davis, R., Rasheed, D., DaWeese, A., DeMauro, A. A., Charm, H., & Greenberg, M. T. (2017). Impacts of the CARE for teachers program on teachers’ social and emotional competence and classroom interactions. Journal of Educational Psychology, 109, 1010-1028. https://doi.org/10.1037/edu0000187

  • Kalaian, H. A., & Raudenbush, S. W. (1996). A multivariate mixed linear model for meta-analysis. Psychological Methods, 1(3), 227–235. https://doi.org/10.1037/1082-989X.1.3.227.

    Article  Google Scholar 

  • Kline, R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. American Psychological Association ISBN: 978-159-14-7118-9.

  • Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company ISBN: 0-8261-4191-9.

  • Leiter, M. P., & Maslach, C. (2003). Areas of worklife: A structured approach to organizational predictors of job burnout. In P. Perrewé & D. C. Ganster (Eds.), Research in occupational stress and well-being (pp. 91–134). JAI Press/Elsevier. https://doi.org/10.1016/S14793555(03)03003-8.

  • Lüdecke, D. (2019). esc: Effect size computation for meta analysis. https://doi.org/10.5281/zenodo.1249218

  • Maricuţoiu, L. P., Sava, F. A., & Butta, O. (2016). The effectiveness of controlled interventions on employees’ burnout: A meta-analysis. Journal of Occupational and Organizational Psychology, 89(1), 1–27. https://doi.org/10.1111/joop.12099.

    Article  Google Scholar 

  • Maslach, C. (1976). Burned-out. Human Behavior, 5, 16–22.

    Google Scholar 

  • Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Occupational Behaviour, 2(2), 99–113. https://doi.org/10.1002/job.4030020205.

    Article  Google Scholar 

  • Maslach, C., Jackson, S. E., & Leiter, M. P. (1996). Maslach Burnout Inventory Manual (3ª ed.). Consulting Psychologists Press ISBN: 978-999-63-4577-7.

  • Maslach, C., & Leiter, M. P. (2016). Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry, 15(2), 103–111. https://doi.org/10.1002/wps.20311.

    Article  Google Scholar 

  • Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52(1), 397–422. https://doi.org/10.1146/annurev.psych.52.1.397.

    Article  Google Scholar 

  • McCarthy, C. J., Lambert, R. G., Lineback, S., Fitchett, P., & Baddouh, P. G. (2016). Assessing teacher appraisals and stress in the classroom: Review of the classroom appraisal of resources and demands. Educational Psychology Review, 28(3), 577–603. https://doi.org/10.1007/s10648-015-9322-6.

    Article  Google Scholar 

  • Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., et al. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1). https://doi.org/10.1186/2046-4053-4-1.

  • Nielsen, K., & Maglia, M. (2017). What works for whom in which circumstances? On the need to move beyond the ‘what works?’ question in organizational intervention research. Human Relations, 70(1), 40–62. https://doi.org/10.1177/0018726716670226.

    Article  Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory (2ª ed.). McGraw-Hill ISBN: 0-07-04-7465-6.

  • O’Connor, K., Neff, D. M., & Pitman, S. (2018). Burnout in mental health professionals: A systematic review and meta-analysis of prevalence and determinants. European Psychiatry, 53, 74–99. https://doi.org/10.1016/j.eurpsy.2018.06.003.

    Article  Google Scholar 

  • Oliveira, S., Roberto, M. S., Pereira, N., Marques Pinto, A., & Veiga Simão, A. M. (under revision). Impacts of social and emotional learning interventions for teachers on teachers’ outcomes: A systematic review with meta-analysis. Frontiers in Psychology.

  • Osher, D., Kidron, Y., Brackett, M., Dymnicki, A., Jones, S., & Weissberg, R. P. (2016). Advancing the science and practice of social and emotional learning: Looking back and moving forward. Review of Research in Education, 40(1), 644–681. https://doi.org/10.3102/0091732X16673595.

    Article  Google Scholar 

  • Panagioti, M., Panagopoulou, E., Bower, P., Lewith, G., Kontopantelis, E., Chew-Graham, C., Dawson, S., van Marwijk, H., Geraghty, K., & Esmail, A. (2017). Controlled interventions to reduce burnout in physicians: A systematic review and meta-analysis. JAMA Internal Medicine, 177(2), 195–205. https://doi.org/10.1001/jamainternmed.2016.7674.

    Article  Google Scholar 

  • Prieto, L. L., Soria, M. S., Martínez, I. M., & Schaufeli, W. (2008). Extension of the job demands-resources model in the prediction of burnout and engagement among teachers over time. Psicothema, 20(3), 354–360 Available at http://psicothema.com/pdf/3492.pdf.

    Google Scholar 

  • Richardson, K. M., & Rothstein, H. R. (2008). Effects of occupational stress management intervention programs: A meta-analysis. Journal of Occupational Health Psychology, 13(1), 69–93. https://doi.org/10.1037/1076-8998.13.1.69.

    Article  Google Scholar 

  • *Roberts, A. M., LoCasale-Crouch, J., Hamre, B. K., & Jamil, F. M. (2019). Preschool teachers’ self-efficacy, burnout, and stress in online professional development: A mixed methods approach to understand change. Journal of Early Childhood Teacher Education, 1–22. https://doi.org/10.1080/10901027.2019.1638851.

  • *Roeser, R. W., Schonert-Reichl, K. A., Jha, A., Cullen, M., Wallace, L., Wilensky, R., Oberle E., Thomson K., Taylor C. Harrison, J. (2013). Mindfulness training and reductions in teacher stress and burnout: Results from two randomized, waitlist-control field trials. Journal of Educational Psychology, 105(3), 787-804. https://doi.org/10.1037/a0032093

  • Rosenthal, R. (1991). Meta-analytic procedures for social research. Sage ISBN: 978-080-39-4246-2.

  • Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG.

    Article  Google Scholar 

  • Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. https://doi.org/10.1002/job.248.

    Article  Google Scholar 

  • Schaufeli, W. B., & Enzmann, D. (1998). The burnout companion to study and practice: A critical analysis. London: Taylor & Francis ISBN: 978-07-484-0698-2.

    Google Scholar 

  • Schaufeli, W. B., Leiter, M. P., & Maslach, C. (2009). Burnout: 35 years of research and practice. Career Development International, 14(3), 204–220. https://doi.org/10.1108/13620430910966406.

    Article  Google Scholar 

  • Schaufeli, W. B., & Taris, T. W. (2014). A critical review of the job demands-resources model: Implications for improving work and health. In G. F. Bauer & O. Hämmig (Eds.), Bridging occupational, organizational and public health: A transdisciplinary approach (pp. 43–68). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5640-3_4.

  • Schonert-Reichl, K. A. (2017). Social and emotional learning and teachers. The Future of Children, 27(1), 137–155. Available at http://www.jstor.org/stable/44219025. Accessed 15 Oct 2020

  • Schonert-Reichl, K. A., Kitil, M. J., & Hanson-Peterson, J. (2017). To reach the students, teach the teachers: A national scan of teacher preparation and social and emotional learning. A report prepared for the Collaborative for Academic, Social, and Emotional Learning (CASEL). University of British Columbia Retrieved from https://eric.ed.gov/?id=ED582029.

  • Schwarzer, G. (2007). meta: An R package for meta-analysis. R News, 7(3), 40–45 Available at https://cran.rstudio.org/doc/Rnews/Rnews_2007-3.pdf#page=40. Accessed 28 June 2020

  • *Tarrasch, R., Berger, R., & Grossman, D. (2020). Mindfulness and compassion as key factors in improving teacher’s well being. Mindfulness, 11(4), 1–13. https://doi.org/10.1007/s12671-020-01304-x.

  • Thompson, S. G., & Higgins, J. P. (2002). How should meta-regression analyses be undertaken and interpreted? Statistics in Medicine, 21(11), 1559–1573. https://doi.org/10.1002/sim.1187.

    Article  Google Scholar 

  • Tolan, P., Ross, K., Arkin, N., Godine, N., & Clark, E. (2016). Toward an integrated approach to positive development: Implications for intervention. Applied Developmental Science, 20(3), 214–236. https://doi.org/10.1080/10888691.2016.1146080.

    Article  Google Scholar 

  • Vevea, J. L., & Woods, C. M. (2005). Publication bias in research synthesis: Sensitivity analysis using a priori weight functions. Psychological Methods, 10(4), 428–443. https://doi.org/10.1037/1082-989X.10.4.428.

    Article  Google Scholar 

  • Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48 Available at http://www.jstatsoft.org/v36/i03/. Accessed 28 June 2020

  • West, C. P., Dyrbye, L. N., Erwin, P. J., & Shanafelt, T. D. (2016). Interventions to prevent and reduce physician burnout: A systematic review and meta-analysis. The Lancet, 388(10057), 2272–2281. https://doi.org/10.1016/S0140-6736(16)31279-X.

    Article  Google Scholar 

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Funding

This work was supported by the Foundation for Science and Technology of the Science and Education Ministry of Portugal through a PhD grant (SFRH/BD/137845/2018) and through the Research Center for Psychological Science of the Faculty of Psychology, University of Lisbon (CICPSI; UIDB/04527/2020 & UIDP/04527/2020).

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SO: designed and executed the study, analyzed the data, and wrote the paper. MSR: assisted with the design, collaborated with the data analyses and the writing of the study. AMVS: assisted with the design, execution, and writing of the study, collaborated with the editing of the final manuscript. AMP: assisted with the design and execution of the study, collaborated with the data analyses, and the writing and the editing of the final manuscript. All the authors approved the final version of the manuscript for submission.

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Correspondence to Sofia Oliveira.

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Oliveira, S., Roberto, M.S., Veiga-Simão, A.M. et al. A Meta-analysis of the Impact of Social and Emotional Learning Interventions on Teachers’ Burnout Symptoms. Educ Psychol Rev 33, 1779–1808 (2021). https://doi.org/10.1007/s10648-021-09612-x

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