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Academic Context and Perceived Mental Workload of Psychology Students

Published online by Cambridge University Press:  08 July 2014

Susana Rubio-Valdehita ,
Ramón López-Higes  and
Eva Díaz-Ramiro
Susana Rubio-Valdehita*
Affiliation:
Universidad Complutense (Spain)
Ramón López-Higes
Affiliation:
Universidad Complutense (Spain)
Eva Díaz-Ramiro
Affiliation:
Universidad Complutense (Spain)
*
*Correspondence concerning this article should be addressed to Susana Rubio Valdehita. Departamento de P.E.T.P. II: Psicología Diferencial y del Trabajo. Facultad de Psicología. Universidad Complutense de Madrid. Campus de Somosaguas. 28223. Madrid (Spain). Phone: +34–913943230. E-mail: srubiova@psi.ucm.es
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Abstract

The excessive workload of university students is an academic stressor. Consequently, it is necessary to evaluate and control the workload in education. This research applies the NASA-TLX scale, as a measure of the workload. The objectives of this study were: (a) to measure the workload levels of a sample of 367 psychology students, (b) to group students according to their positive or negative perception of academic context (AC) and c) to analyze the effects of AC on workload. To assess the perceived AC, we used an ad hoc questionnaire designed according to Demand-Control-Social Support and Effort-Reward Imbalance models. Using cluster analysis, participants were classified into two groups (positive versus negative context). The differences between groups show that a positive AC improves performance (p < .01) and reduces feelings of overload (p < .02), temporal demand (p < .02), and nervousness and frustration (p < .001). Social relationships with peers and teachers, student autonomy and result satisfaction were relevant dimensions of the AC (p < .001 in all cases).

Keywords

academic contextworkloadNASA-TLXpsychologyuniversity students
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 17 , 2014 , E53
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2014 

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References

ANECA (2005). Libro blanco. Título de grado en psicología. Agencia Nacional de Evaluación de la Calidad la Acreditación (ANECA). [White book. Higher degree in psychology. National Evaluating Agency of Acreditation Quality]. Madrid, Spain: ANECA. Retrieved from http://www.aneca.es/var/media//150356/libroblanco_psicologia_def.pdf Google Scholar
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26. http://dx.doi.org/10.1146/annurev.psych.52.1.1 CrossRefGoogle ScholarPubMed
Barnes, C. M., & Van Dyne, L. (2009). “I’m tired”: Differential effects of physical and emotional fatigue on workload management strategies. Human Relations, 62, 59–92. http://dx.doi.org/10.1177/0018726708099518 Google Scholar
Cabanach, R., Valle, A., Rodríguez, S., Piñeiro, I., & González, P. (2010). Las creencias motivacionales como factor protector del estrés en estudiantes universitarios [Motivational beliefs as protective factors against stress in university students]. European Journal of Education and Psychology, 3, 75–87.Google Scholar
Emerson, L., & MacKay, B. (2011). A comparison between paper-based and online learning in higher education. British Journal of Educational Technology, 42, 727–735. http://dx.doi.org/10.1111/j.1467-8535.2010.01081.x Google Scholar
Gardner, D. H., & Parkinson, T. J. (2011). Optimism, self-esteem, and social support as mediators of the relationships among workload, stress, and well-being in veterinary students. Journal of Veterinary Medical Education, 38, 60–66. http://dx.doi.org/10.3138/jvme.38.1.60 Google Scholar
Hart, S. G. (2006). NASA-Task Load Index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 50, 904–908. http://dx.doi.org/10.1177/154193120605000909 Google Scholar
Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task LoadIndex): Results of empirical and theoretical research. In Hancock, P. A. & Meshkati, N. (Eds.), Human mental workload (pp. 139–183). Amsterdam, The Netherlands: North-Holland.Google Scholar
Karasek, R., & Theorell, T. (1990). Healthy work, productivity, and the reconstruction of working life. New York, NY: Basic Books.Google Scholar
Kember, D., & Leung, D. Y. (2006). Characterising a teaching and learning environment conducive to making demands on students while not making their workload excessive. Studies in Higher Education, 31, 185–198. http://dx.doi.org/10.1080/03075070600572074 Google Scholar
Kember, D., & Leung, D. Y. P. (2009). Development of a questionnaire for assessing students’ perceptions of the teaching and learning environment and its use in quality assurance. Learning Environments Research, 12, 15–29. http://dx.doi.org/10.1007/s10984-008-9050-7 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, 135–150. http://dx.doi.org/10.1080/07294360.2010.501329 Google Scholar
Lizzio, A., Wilson, K., & Simons, R. (2002). University students' perceptions of the learning environment and academic outcomes: Implications for theory and practice. Studies in Higher Education, 27, 27–52. http://dx.doi.org/10.1080/03075070120099359 Google Scholar
López, I. (2010). Generalización al ámbito laboral de dos instrumentos de medida subjetiva de la carga mental [Generalization to workplace of two subjective mental workload instruments]. Madrid, Spain: Universidad Complutense de Madrid.Google Scholar
Misra, R., & McKean, M. (2000). College student’s academic stress and its relation to their anxiety, time management and leisure satisfaction. American Journal of Health Studies, 16, 41–52.Google Scholar
Oria, V., Jenaro, C., Meilán, J., Zubiauz, M., Mayor, M., & Arana, J. (2011). Carga de trabajo en el EEES: La necesidad de coordinación docente entre asignaturas [Workload in EHEA: Need for coordination between subjects]. IX Jornadas de Redes de Investigación en Docencia Universitaria. Diseño de buenas prácticas docentes en el contexto actual [IX Conference of Research Networks in Higher Education. Design of good teaching practices in the current context]. Alicante, Spain: Universidad de Alicante.Google Scholar
Ramsden, P. (1992). Learning to teach in higher education. Londres, UK: Routledge. http://dx.doi.org/10.4324/9780203413937 Google Scholar
Rueda, B., Pérez-García, A., & Bermúdez, J. (2005). Estudio de la competencia percibida a partir de sus dos componentes: Expectativa de autoeficacia y expectativas de resultados [Study of perceived competition from its two components: Self-efficacy expectations and outcome expectations]. Revista de Psicología General y Aplicada, 58, 75–87.Google Scholar
Ruiz-Gallardo, J. R, Castaño, S., Gómez-Alday, J. J., & Valdés, A. (2011). Assessing student workload in problem based learning: Relationships among teaching method, student workload and achievement. A case study in Natural Sciences. Teaching and Teacher Education, 27, 619–627. http://dx.doi.org/10.1016/j.tate.2010.11.001 Google Scholar
Sánchez-Reinoso, H. T., Franco, P., & Estrems, M. (2008). Metodología para la estimación de la carga de trabajo del alumno dentro del espacio europeo de educación superior. Experiencias en nuevas tecnologías de innovación docente [Methodology for estimating the student workload within the european higher education space. Experiences in teaching innovation technologies]. Jornadas sobre nuevas tendencias en la enseñanza de las ciencias y las ingenierías. Murcia, Spain: Consejo escolar de la Región de Murcia.Google Scholar
Siegrist, J. (1996). Adverse health effects of high-effort/low-reward conditions. Journal of Occupational Health Psychology, 1, 27–41. http://dx.doi.org/10.1037/1076-8998.1.1.27 Google Scholar
Struyven, K., Dochy, F., Janssens, S., & Gielen, S. (2006). On the dynamics of students' approaches to learning: The effects of the teaching/learning environment. Learning and Instruction, 16, 279–294. http://dx.doi.org/10.1016/j.learninstruc.2006.07.001 Google Scholar
Timmins, F., & Kaliszer, M. (2002). Aspects of nurse education programmes that frequently cause stress to nursing students-fact-finding sample survey. Nurse Education Today, 22, 203–211. http://dx.doi.org/10.1054/nedt.2001.0698 Google Scholar
Young, M. S., & Stanton, N. A. (2002). Malleable attentional resources theory: A new explanation for the effects of mental underload on performance. Human Factors: The Journal of the Human Factors and Ergonomics Society, 44, 365–375. http://dx.doi.org/10.1518/0018720024497709.Google Scholar
Young, G., Zavelina, L., & Hooper, V. (2008). Assessment of workload using NASA task load index in perianesthesia nursing. Journal of Perianesthesia Nursing, 23, 102–110. http://dx.doi.org/10.1016/j.jopan.2008.01.008 Google Scholar