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Do Cultural Differences Play a Role in the Relationship Between Time Pressure, Workload and Student Well-Being?

  • Omolaso OmosehinEmail author
  • Andrew P. Smith
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1107)

Abstract

Student workload is an issue that has implications for undergraduate student learning, achievement and well-being. Time pressure, although not the only factor that influences students’ workload or their perception of it, is very pivotal to students’ workload. This may vary from one country to the other and maybe affected by cultural differences. The current study investigated the impact of nationality and time pressure on well-being outcomes as well as perceptions of academic stress and academic work efficiency. The study was cross-cultural and cross-sectional in nature and comprised 360 university undergraduates from three distinct cultural backgrounds: White British, Ethnic Minorities (in the United Kingdom) and Nigerian. The findings suggest that time pressure directly or indirectly (i.e. in tandem with nationality) predicted negative outcomes, work efficiency and academic stress. This implies that nationality/ethnicity also plays a role in the process.

Keywords

Time pressure Student workload Cultural differences Nationality Ethnicity Student Well-being 

References

  1. 1.
    Wickens, C.D., Hollands, J.G., Banbury, S., Parauraman, R.: Engineering Psychology and Human Performance, 4th edn. Routledge, Abingdon (2016)Google Scholar
  2. 2.
    Byrne, A.: The effect of education and training on mental workload in medical education. In: Longo, L., Leva, M.Chiara (eds.) H-WORKLOAD 2018. CCIS, vol. 1012, pp. 258–266. Springer, Cham (2019).  https://doi.org/10.1007/978-3-030-14273-5_15CrossRefGoogle Scholar
  3. 3.
    Fan, J., Smith, A.P.: The impact of workload and fatigue on performance. In: Longo, L., Leva, M.C. (eds.) H-WORKLOAD 2017. CCIS, vol. 726, pp. 90–105. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-61061-0_6CrossRefGoogle Scholar
  4. 4.
    Bowyer, K.: A model of student workload. J. High. Educ. Policy Manag. 34(3), 239–258 (2012).  https://doi.org/10.1080/1360080x.2012.678729CrossRefGoogle Scholar
  5. 5.
    Kingsland, A.J.: Time expenditure, workload, and student satisfaction in problem-based learning. New Dir. Teach. Learn. 1996(68), 73–81 (1996).  https://doi.org/10.1002/tl.37219966811CrossRefGoogle Scholar
  6. 6.
    Kember, D.: Interpreting student workload and the factors which shape students’ perceptions of their workload. Stud. High. Educ. 29(2), 165–184 (2004).  https://doi.org/10.1080/0307507042000190778CrossRefGoogle Scholar
  7. 7.
    Kyndt, E., Berghmans, I., Dochy, F., Bulckens, L.: ‘Time is Not Enough.’ Workload in Higher Education: a student perspective. High. Educ. Res. Dev. 33(4), 684–698 (2013).  https://doi.org/10.1080/07294360.2013.863839CrossRefGoogle Scholar
  8. 8.
    Devlin, M., Gray, K.: In their own words: a qualitative study of the reasons Australian university students plagiarize. High. Educ. Res. Dev. 26(2), 181–198 (2007).  https://doi.org/10.1080/07294360701310805CrossRefGoogle Scholar
  9. 9.
    Baeten, M., Kyndt, E., Struyven, K., Dochy, F.: Using student-centred learning environments to stimulate deep approaches to learning: factors encouraging or discouraging their effectiveness. Educ. Res. Rev. 5(3), 243–260 (2010).  https://doi.org/10.1016/j.edurev.2010.06.001CrossRefGoogle Scholar
  10. 10.
    Chambers, E.: Work-load and the quality of student learning. Stud. High. Educ. 17(2), 141–153 (1992).  https://doi.org/10.1080/03075079212331382627CrossRefGoogle Scholar
  11. 11.
    Souto-Iglesias, A., Baeza_Romero, M.: Correction to: a probabilistic approach to student workload: empirical distributions and ECTS. High. Educ. 76(6), 1027–1027 (2018).  https://doi.org/10.1007/s10734-018-0270-1CrossRefGoogle Scholar
  12. 12.
    Ramsden, P.: Improving teaching and learning in higher education: the case for a relational perspective. Stud. High. Educ. 12(3), 275–286 (1987).  https://doi.org/10.1080/03075078712331378062MathSciNetCrossRefGoogle Scholar
  13. 13.
    Smith, A.P.: Student Workload, Wellbeing and Academic Attainment SubmittedGoogle Scholar
  14. 14.
    Bergin, A., Pakenham, K.: Law student stress: relationships between academic demands, social isolation, career pressure, study/life imbalance and adjustment outcomes in law students. Psychiatry Psychol. Law 22(3), 388–406 (2014).  https://doi.org/10.1080/13218719.2014.960026CrossRefGoogle Scholar
  15. 15.
    Pritchard, M., McIntosh, D.: What predicts adjustment among law students? A longitudinal panel study. J. Soc. Psychol. 143(6), 727–745 (2003).  https://doi.org/10.1080/00224540309600427CrossRefGoogle Scholar
  16. 16.
    Ryan, R.M., Deci, E.L.: On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Annu. Rev. Psychol. 52, 141–166 (2001).  https://doi.org/10.1146/annurev.psych.52.1.141CrossRefGoogle Scholar
  17. 17.
    Caccioppo, J.T., Bernsto, G.B.: The affect system: architecture and operating characteristics. Curr. Dir. Psychol. Sci. 8, 133–137 (1999).  https://doi.org/10.1111/1467-8721.00031CrossRefGoogle Scholar
  18. 18.
    Smith, A.P., Wadsworth, E.A.: A holistic approach to stress and wellbeing. Part 5: what is a good job? Occup. Health (At work) 8, 25–27 (2011)Google Scholar
  19. 19.
    Mark, G., Smith, A.P.: Stress models: a review and suggested new direction. In: Houdmont, J., Leka, S. (eds.) Occupational Health Psychology, vol. 3, pp. 111–144. Nottingham University Press, Nottingham (2008)Google Scholar
  20. 20.
    Zurlo, M.C., Vallone, F., Smith, A.P.: Effects of individual differences and job characteristics on the psychological health of Italian nurses. Europe’s J. Psychol. 14, 159–175 (2018).  https://doi.org/10.5964/ejop.v14i1.1478CrossRefGoogle Scholar
  21. 21.
    Smith, A.P.: Cognitive fatigue and the wellbeing and academic attainment of university students. J. Educ. Soc. Behav. Sci. 24(2), 1–12 (2018).  https://doi.org/10.9734/jesbs/2018/39529CrossRefGoogle Scholar
  22. 22.
    Williams, G.M., Smith, A.P.: A longitudinal study of the well-being of students using the student wellbeing process questionnaire (Student WPQ). J. Educ. Soc. Behav. Sci. 24(4), 1–6 (2018).  https://doi.org/10.9734/jesbs/2018/40105CrossRefGoogle Scholar
  23. 23.
    Omosehin, O., Smith, A.P.: Adding new variables to the well-being process questionnaire (WPQ) – further studies of workers and students. J. Educ. Soc. Behav. Sci. 28(3), 1–19 (2018).  https://doi.org/10.9734/jesbs/2018/45535CrossRefGoogle Scholar
  24. 24.
    Smith, A.P., Smith, H.N.: Workload, fatigue and performance in the rail industry. In: Longo, L., Leva, M.C. (eds.) H-WORKLOAD 2017. CCIS, vol. 726, pp. 251–263. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-61061-0_17CrossRefGoogle Scholar
  25. 25.
    Chambel, M.J., Curral, L.: Stress in academic life: work characteristics as predictors of student well-being and performance. Appl. Psychol. 54(1), 135–147 (2005).  https://doi.org/10.1111/j.1464-0597.2005.00200.xCrossRefGoogle Scholar
  26. 26.
    Karasek, R., Theorell, T.: Healthy Work: Stress, Productivity and the Reconstruction of Working Life. Basic Books, New York (1990)Google Scholar
  27. 27.
    Cotton, S.J., Dollard, M.F., de Jonge, J.: Stress and job design: satisfaction, well-being and performance in university students. Int. J. Stress. Manag. 9(3), 147–162 (2002)CrossRefGoogle Scholar
  28. 28.
    Perrewé, P.L., Zellars, K.L.: An examination of attributions and emotions in the transactional approach to the organizational stress process. J. Organ. Behav. 20(5), 739–752 (1999).  https://doi.org/10.1002/(sici)1099-1379(199909)20:5%3c739:aid-job1949%3e3.0.co;2-cCrossRefGoogle Scholar
  29. 29.
    Ballard, B.: Academic adjustment: the other side of the export dollar. High. Educ. Res. Dev. 6(2), 109–119 (1987).  https://doi.org/10.1080/0729436870060203CrossRefGoogle Scholar
  30. 30.
    Mullins, G., Quintrell, N., Hancock, L.: The experiences of international and local students at three australian universities. High. Educ. Res. Dev. 14(2), 201–231 (1995).  https://doi.org/10.1080/0729436950140205CrossRefGoogle Scholar
  31. 31.
    Alharbi, E., Smith, A.: Review of the literature on stress and wellbeing of international students in English-speaking countries. Int. Educ. Stud. 11(6), 22 (2018).  https://doi.org/10.5539/ies.v11n6p22CrossRefGoogle Scholar
  32. 32.
    Sheldon, K.M., Krieger, L.S.: Does legal education have undermining effects on law students? Evaluating changes in motivation, values, and well-being. Behav. Sci. Law 22(2), 261–286 (2004).  https://doi.org/10.1002/bsl.582CrossRefGoogle Scholar
  33. 33.
    Williams, G., Pendlebury, H., Thomas, K., Smith, A.: The student well-being process questionnaire (student WPQ). Psychology 08(11), 1748–1761 (2017).  https://doi.org/10.4236/psych.2017.811115CrossRefGoogle Scholar
  34. 34.
    Williams, G., Thomas, K., Smith, A.: Stress and well-being of university staff: an investigation using the demands-resources-individual effects (DRIVE) model and well-being process questionnaire (WPQ). Psychology 08(12), 1919–1940 (2017).  https://doi.org/10.4236/psych.2017.812124CrossRefGoogle Scholar
  35. 35.
    Kohn, P.M., Lafreniere, K., Gurevich, M.: The Inventory of College Students’ Recent Life Experiences: a decontaminated hassles scale for a special population. J. Behav. Med. 13(6), 619–630 (1990).  https://doi.org/10.1007/bf00844738CrossRefGoogle Scholar
  36. 36.
    Bodenhorn, N., Miyazaki, Y., Ng, K., Zalaquett, C.: Analysis of the inventory of college students’ recent life experiences. Multicult. Learn. Teach. 2(2) (2007).  https://doi.org/10.2202/2161-2412.1022
  37. 37.
    Cohen, S., Mermelstein, R., Kamarck, T., Hoberman, H.: Measuring the Functional Components of Social Support (1986)Google Scholar
  38. 38.
    Omosehin, O., Smith, A.: Nationality, ethnicity and the well-being process in occupational samples. Open J. Soc. Sci. 07(05), 133–142 (2019).  https://doi.org/10.4236/jss.2019.75011CrossRefGoogle Scholar
  39. 39.
    Connor, K.M., Davidson, J.R.: Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depress. Anxiety 18(2), 76–82 (2003).  https://doi.org/10.1002/da.10113CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Centre for Occupational and Health Psychology, School of PsychologyCardiff UniversityCardiffUK

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