Skip to main content
Log in

Emotional exhaustion and reduced self-efficacy: The mediating role of deep and surface learning strategies

  • Original Paper
  • Published:
Motivation and Emotion Aims and scope Submit manuscript

Abstract

Integrating conservation of resources theory and students’ approaches to learning, we consider the relationship between emotional exhaustion and self-efficacy as a within- person resource loss process that is explained via deep and surface learning strategies. Using an experiential sampling design, weekly diary data were collected from undergraduate students as they engaged in a learning task (i.e., tutorial participation). With 414 usable responses from 107 students, our results indicated that emotional exhaustion was negatively related to deep learning strategy and positively related to surface learning strategy at the within-person level. In turn, deep learning strategy was positively, whereas surface learning was negatively related to self-efficacy. Mediation analyses indicated that the learning strategies explained the effect of emotional exhaustion on self-efficacy. We contribute to theory by highlighting behavioral strategies as underlying mechanisms that can explain how the depletion of resources (emotional exhaustion) can fuel further resource loss (reduced self-efficacy). We also contribute practically by emphasizing potential points of intervention to break downward spirals of resource loss.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Aloe, A. M., Amo, L. C., & Shanahan, M. E. (2014). Classroom management self-efficacy and burnout: A multivariate meta-analysis. Educational psychology review, 26(1), 101–126.

    Google Scholar 

  • Baeten, M., Kyndt, E., Struyven, K., & Dochy, F. (2010). Using student-centred learning environments to stimulate deep approaches to learning: Factors encouraging or discouraging their effectiveness. Educational Research Review, 5(3), 243–260.

    Google Scholar 

  • Bandura, A. (1982). Self-efficacy mechanism in human agency. American psychologist, 37(2), 122.

    Google Scholar 

  • Biggs, J. B. (1987). Student Approaches to Learning and Studying. Research Monograph. Australian Council for Educational Research Ltd., Radford House, Frederick St., Hawthorn 3122, Australia.

  • Biggs, J. B. (2011). Teaching for quality learning at university: What the student does. McGraw-hill education (UK).

  • Biggs, J., Kember, D., & Leung, D. Y. (2001). The revised two-factor study process questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71(1), 133–149.

    PubMed  Google Scholar 

  • Brown, K. W., & Ryan, R. M. (2003). The benefits of being present: mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84(4), 822.

    PubMed  Google Scholar 

  • Cherniss, C. (1993). Role of professional self-efficacy in the etiology and amelioration of burnout.

  • Conway, J. M., & Lance, C. E. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business and Psychology, 25(3), 325–334.

    Google Scholar 

  • Cropanzano, R., Rupp, D. E., & Byrne, Z. S. (2003). The relationship of emotional exhaustion to work attitudes, job performance, and organizational citizenship behaviors. Journal of Applied Psychology, 88(1), 160.

    PubMed  Google Scholar 

  • 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.

    PubMed  Google Scholar 

  • Diseth, Å. (2011). Self-efficacy, goal orientations and learning strategies as mediators between preceding and subsequent academic achievement. Learning and Individual Differences, 21(2), 191–195.

    Google Scholar 

  • Entwistle, N., & McCune, V. (2004). The conceptual bases of study strategy inventories. Educational Psychology Review, 16(4), 325–345.

    Google Scholar 

  • García, T., Rodríguez, C., Betts, L., Areces, D., & González-Castro, P. (2016). How affective-motivational variables and approaches to learning predict mathematics achievement in upper elementary levels. Learning and Individual Differences, 49, 25–31.

    Google Scholar 

  • Halbesleben, J. R., & Bowler, W. M. (2007). Emotional exhaustion and job performance: the mediating role of motivation. Journal of Applied Psychology, 92(1), 93.

    PubMed  Google Scholar 

  • Herman, K. C., Hickmon-Rosa, J. E., & Reinke, W. M. (2018). Empirically derived profiles of teacher stress, burnout, self-efficacy, and coping and associated student outcomes. Journal of Positive Behavior Interventions, 20(2), 90–100.

  • Hobfoll, S. E. (2001). The influence of culture, community, and the nested-self in the stress process: advancing conservation of resources theory. Applied Psychology, 50(3), 337–421.

    Google Scholar 

  • Hobfoll, S. E., & Shirom, A. (2000). Conservation of resources theory. appears in Handbook of Organizational Behavior, RT Golembiewski (ed.), Marcel Dekker, New York, 57–80.

  • Hobfoll, S. E., Halbesleben, J., Neveu, J. P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5, 103–128.

    Google Scholar 

  • Houkes, I., Janssen, P. P., de Jonge, J., & Bakker, A. B. (2003). Specific determinants of intrinsic work motivation, emotional exhaustion and turnover intention: A multisample longitudinal study. Journal of Occupational and Organizational Psychology, 76(4), 427–450.

    Google Scholar 

  • Huang, C. (2016). Achievement goals and self-efficacy: A meta-analysis. Educational Research Review, 19, 119–137.

    Google Scholar 

  • Kyndt, E., Dochy, F., Struyven, K., & Cascallar, E. (2011). The direct and indirect effect of motivation for learning on students' approaches to learning through the perceptions of workload and task complexity. Higher Education Research & Development, 30(2), 135–150.

    Google Scholar 

  • Larson, R., & Csikszentmihalyi, M. (2014). The experience sampling method. In Flow and the foundations of positive psychology (pp. 21–34). Springer, Dordrecht.

  • Lingard, H. (2007). Conflict between paid work and study: Does it impact upon students’ burnout and satisfaction with university life? Journal for Education in the Built Environment, 2(1), 90–109.

    Google Scholar 

  • Li, C., Zhang, Y., Randhawa, A. K., & Madigan, D. J. (2020). Emotional exhaustion and sleep problems in university students: Does mental toughness matter? Personality and Individual Differences, 163, 110046.

    Google Scholar 

  • Leiter, M. P. (1993). Burnout as a developmental process: Consideration of models. Professional Burnout: Recent Developments in Theory and Research, 237, 250.

    Google Scholar 

  • Liem, A. D., Lau, S., & Nie, Y. (2008). The role of self-efficacy, task value, and achievement goals in predicting learning strategies, task disengagement, peer relationship, and achievement outcome. Contemporary Educational Psychology, 33(4), 486–512.

    Google Scholar 

  • Lindblom-Ylänne, S., Parpala, A., & Postareff, L. (2019). What constitutes the surface approach to learning in the light of new empirical evidence? Studies in Higher Education, 44(12), 2183–2195.

    Google Scholar 

  • Marchand, C., & Vandenberghe, C. (2016). Perceived organizational support, emotional exhaustion, and turnover: The moderating role of negative affectivity. International Journal of Stress Management, 23(4), 350.

    Google Scholar 

  • Marton, F., & Säljö, R. (1976a). On qualitative differences in learning: I—Outcome and process. British Journal of Educational Psychology, 46(1), 4–11.

    Google Scholar 

  • Marton, F., & Säljö, R. (1976b). On qualitative differences in learning—ii Outcome as a function of the learner's conception of the task. British Journal of educational Psychology, 46(2), 115–127.

    Google Scholar 

  • Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113.

    Google Scholar 

  • Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual Review of Psychology, 52(1), 397–422.

    PubMed  Google Scholar 

  • Moneta, G. B. (2011). Need for achievement, burnout, and intention to leave: Testing an occupational model in educational settings. Personality and Individual Differences, 50(2), 274–278.

    Google Scholar 

  • Phan, H. P. (2011a). Deep processing strategies and critical thinking: Developmental trajectories using latent growth analyses. The Journal of Educational Research, 104(4), 283–294.

    Google Scholar 

  • Phan, H. P. (2011b). Interrelations between self-efficacy and learning approaches: a developmental approach. Educational Psychology, 31(2), 225–246.

    Google Scholar 

  • Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.

    Google Scholar 

  • Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15(3), 209.

    PubMed  Google Scholar 

  • Rich, B. L., Lepine, J. A., & Crawford, E. R. (2010). Job engagement: Antecedents and effects on job performance. Academy of Management Journal, 53(3), 617–635.

    Google Scholar 

  • Schaufeli, W. B., Martinez, I. M., Pinto, A. M., Salanova, M., & Bakker, A. B. (2002). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464–481.

    Google Scholar 

  • Schwarzer, R., & Hallum, S. (2008). Perceived teacher self-efficacy as a predictor of job stress and burnout: Mediation analyses. Applied Psychology, 57, 152–171.

    Google Scholar 

  • Sitzmann, T., & Yeo, G. (2013). A meta-analytic investigation of the within-person self-efficacy domain: Is self-efficacy a product of past performance or a driver of future performance? Personnel Psychology, 66(3), 531–568.

    Google Scholar 

  • Sonnentag, S., & Zijlstra, F. R. (2006). Job characteristics and off-job activities as predictors of need for recovery, well-being, and fatigue. Journal of Applied Psychology, 91(2), 330.

  • Talsma, K., Schüz, B., Schwarzer, R., & Norris, K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136–150.

    Google Scholar 

  • Trigwell, K., & Prosser, M. (1991). Improving the quality of student learning: the influence of learning context and student approaches to learning on learning outcomes. Higher Education, 22(3), 251–266.

    Google Scholar 

  • Trougakos, J. P., Beal, D. J., Cheng, B. H., Hideg, I., & Zweig, D. (2015). Too drained to help: A resource depletion perspective on daily interpersonal citizenship behaviors. Journal of Applied Psychology, 100(1), 227.

  • Tseng, W. T., Dörnyei, Z., & Schmitt, N. (2006). A new approach to assessing strategic learning: The case of self-regulation in vocabulary acquisition. Applied linguistics, 27(1), 78–102.

  • Vanthournout, G., Noyens, D., Gijbels, D., & Van den Bossche, P. (2014). The relationship between workplace climate, motivation and learning approaches for knowledge workers. Vocations and Learning, 7(2), 191–214.

    Google Scholar 

  • van Woerkom, M., Bakker, A. B., & Nishii, L. H. (2016). Accumulative job demands and support for strength use: Fine-tuning the job demands-resources model using conservation of resources theory. Journal of Applied Psychology, 101(1), 141.

    PubMed  Google Scholar 

  • Warburton, K. (2003). Deep learning and education for sustainability. International Journal of Sustainability in Higher Education.

  • Wang, J. S., Pascarella, E. T., Nelson Laird, T. F., & Ribera, A. K. (2015). How clear and organized classroom instruction and deep approaches to learning affect growth in critical thinking and need for cognition. Studies in Higher Education, 40(10), 1786–1807.

    Google Scholar 

  • Willcock, S. M., Daly, M. G., Tennant, C. C., & Allard, B. J. (2004). Burnout and psychiatric morbidity in new medical graduates. Medical Journal of Australia, 181(7), 357–360.

    PubMed  Google Scholar 

  • Wright, T. A., & Cropanzano, R. (1998). Emotional exhaustion as a predictor of job performance and voluntary turnover. Journal of Applied Psychology, 83(3), 486.

    PubMed  Google Scholar 

  • Yeo, G. B., & Frederiks, E. R. (2011). Cognitive and Affective Regulation: Scale Validation and Nomological Network Analysis. Applied Psychology: An International Review, 60(4), 546–575. https://doi.org/10.1111/j.1464-0597.2011.00447.

    Article  Google Scholar 

  • Yeo, G. B., & Neal, A. (2013). Revisiting the functional properties of self-efficacy: A dynamic perspective.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaowen Hu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, X., Yeo, G.B. Emotional exhaustion and reduced self-efficacy: The mediating role of deep and surface learning strategies. Motiv Emot 44, 785–795 (2020). https://doi.org/10.1007/s11031-020-09846-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11031-020-09846-2

Keywords

Navigation