¿Todo el alumnado está contento y es productivo? La contribución del capital psicológico académico a la relación entre el engagement del estudiantado y su rendimiento académico en un contexto de aprendizaje universitario en línea

¿Todo el alumnado está contento y es productivo? La contribución del capital psicológico académico a la relación entre el engagement del estudiantado y su rendimiento académico en un contexto de aprendizaje universitario en línea

Contenido principal del artículo

Jonathan Peñalver
Victoria I. Marín
David Aguilar

Resumen

The complexity of the relationship between students’ student engagement and academic performance has been extensively approached. However, following the concept of Sustainable Productivity and Well-being Synergy, this relationship is beginning to raise new issues. The present study aims to contribute to the happyproductive student research by addressing the existence of different types of relationships between student engagement and academic performance (also called as patterns), and studying the influence of Academic Psychological Capital (PsyCap) on the four patterns in an online university context. The sample consisted of 357 Spanish university students (71.4% female) from a Spanish online university. Results showed that: 1) There are 4 patterns of relationship between student engagement and academic performance: happy-productive, unhappy-unproductive, unhappy-productive, and happy-unproductive student; 2) PsyCap (i.e., efficacy, optimism, hope) increases the probability of being in the happy-productive student pattern. Based on the results, we suggest some changes in the educational policies and the importance of programs to develop personal resources such as PsyCap for university students, in order to promote happy-productive students.

Citas

Ayala, Y., Peiró, J. M., Tordera, N., Lorente, L., & Yeves, J. (2016). Job Satisfaction and Innovative Performance in Young Spanish Employees: Testing New Patterns in the Happy-Productive Worker Thesis—A Discriminant Study. Journal of Happiness Studies, 18(5), 1377–1401. https://doi.org/10.1007/s10902-016-9778-1

Ayuso, S., Rodríguez, N., Riera-i-Prunera, M. C., & Ayuso, R. (2022). Análisis factorial y regresión logística multinomial del cuestionario de evaluación de sobrecarga del cuidador. Gerokomos, 33(2), 68-75.

Baik, C., Larcombe, W., & Brooker, A. (2019). How universities can enhance student mental wellbeing: the student perspective. Higher Education Research & Development, 38(4), 674–687. https://doi.org/10.1080/07294360.2019.1576596

Bakker, A. B., & Mostert, K. (2024). Study Demands–Resources Theory: Understanding Student Well-Being in Higher Education. Educational Psychology Review, 36(3). https://doi.org/10.1007/s10648-024-09940-8

Black, D., Bissessar, C., & Boolaky, M. (2020). The missing HEROs: the absence of, and need for, PsyCap research of online university students. Open Learning: The Journal of Open, Distance and e-Learning, 38(3), 209–227. https://doi.org/10.1080/02680513.2020.1855133

Bond, M., & Bergdahl, N. (2022). Student Engagement in Open, Distance, and Digital Education. In: Handbook of Open, Distance and Digital Education. Springer, Singapore. https://doi.org/10.1007/978-981-19-0351-9_79-1

Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: a systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-019-0176-8

Bustos, A. & Coll, A. C. (2010). Los entornos virtuales como espacios de enseñanza y aprendizaje. Revista Mexicana de Investigación Educativa, 15 (44), 163-

Carmona-Halty, M., Salanova, M., & Schaufeli, W. B. (2020). The strengthening starts at home: Parent–child relationships, psychological capital, and academic performance– a longitudinal mediation analysis. Current Psychology, 41(6), 3788–3796. https://doi.org/10.1007/s12144-020-00898-8

Carmona-Halty, M., Salanova, M., Llorens, S., y Schaufeli, W. B. (2021). Linking Positive Emotions and Academic Performance: The Mediated Role of Academic Psychological Capital and Academic Engagement. Current Psychology, 40, 2938-2947. https://dx.doi.org/10.1007/s12144-019-00227-8

Cotton, S. J., Dollard, M. F., y de Jonge, J. (2002). Stress and student job design: satisfaction, well-being, and performance in university students. International Journal of Stress Management, 9(3), 147–162. https://dx.doi.org/10.1023/a:1015515714410

Czerniewicz, L., & Carvalho, L. (2022). Open, Distance, and Digital Education (ODDE) – An Equity View. Handbook of Open, Distance and Digital Education. Springer. https://doi.org/10.1007/978-981-19-0351-9_93-1

Deci, E. L., & Ryan, R. M. (2006). Hedonia, eudaimonia, and well-being: an introduction. Journal of Happiness Studies, 9(1), 1–11. https://doi.org/10.1007/s10902-006-9018-1

Djourova, N. P., Rodríguez, I., & Lorente-Prieto, L. (2019). Individual Profiles of Psychological Capital in a Spanish Sample. Journal Of Social Science Research, 14, 3029–3047. https://doi.org/10.24297/jssr.v14i0.8042

Geremias, R. L., Lopes, M. P., & Soares, A. E. (2022). Psychological Capital Profiles and Their Relationship With Internal Learning in Teams of Undergraduate Students. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.776839

Geremias, R. L., Lopes, M. P., & Soares, A. E. (2022). Psychological Capital Profiles and Their Relationship With Internal Learning in Teams of Undergraduate Students. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.776839

Gómez-Borges, A., Peñalver, J., Martínez, I.M., & Salanova, M. (2023). Engagement académico en estudiantes universitarios. El rol mediador del Capital Psicológico como recurso personal. [Academic engagement in university students. The mediator role of Psychological Capital as personal resource]. Educación XX1, 26(2), 51-70.

https://doi.org/10.5944/educxx1.35847

Gusy, B., Lesener, T., & Wolter, C. (2019). Measuring Well-Being With the Utrecht Work Engagement Scale–Student Form. European Journal of Health Psychology, 26(2), 31– 38. https://doi.org/10.1027/2512-8442/a000027

Hair, J. F., & Black, W. C. (2000). Cluster Analysis. In L. G. Grimm & P. R. Yarnold (Eds.), Reading and understanding more multivariate statistics (4a ed., pp. 147–205).Washington: American Psychological Association

Hossain, S., O’Neill, S., & Strnadová, I. (2023). What Constitutes Student Well-Being: A Scoping Review Of Students’ Perspectives. Child indicators research, 16(2), 447–483. https://doi.org/10.1007/s12187-022-09990-w

Huang, L., & Zhang, T. (2022). Perceived Social Support, Psychological Capital, and Subjective Well-Being among College Students in the Context of Online Learning during the COVID-19 Pandemic. The Asia-Pacific Education Researcher, 31(5), 563–574. https://doi.org/10.1007/s40299-021-00608-3

IBM Corp (2015). IBM SPSS Statistics for Macintosh, Version 23.0. Armonk, NY: IBM Corp.

Kaya, M., & Erdem, C. (2021) Students’ Well-Being and Academic Achievement: A MetaAnalysis Study. Child Ind Res 14, 1743–1767. https://doi.org/10.1007/s12187-02109821-4

Körner, L. S., Mülder, L. M., Bruno, L., Janneck, M., Dettmers, J., & Rigotti, T. (2022). Fostering study crafting to increase engagement and reduce exhaustion among higher education students: A randomized controlled trial of the STUDYCoach online intervention. Applied Psychology: Health and Well-Being, 15(2), 776–802. Portico. https://doi.org/10.1111/aphw.12410

Lei, H., Cui, Y., & Zhou, W. (2018). Relationships between student engagement and academic achievement: A meta-analysis. Social Behavior and Personality: An International Journal, 46(3), 517–528. https://doi.org/10.2224/sbp.7054

Liran, B. H., & Miller, P. (2019). The role of psychological capital in academic adjustment among university students. Journal of Happiness Studies, 20, 51–65. https://doi.org/10.1007/s10902-017-9933-3.

Liu, J.J., & Huang, S.Y. (2022) A Study on University Students’ Psychological Capital and Academic Performance: Autonomous Motivation as the Mediator. Open Access Library Journal, 9, 1-20. https://doi.org/10.4236/oalib.1108941.

Luthans, F., & Youssef-Morgan, C. M. (2017). Psychological Capital: An EvidenceBased Positive Approach. Annual Review of Organizational Psychology and Organizational Behavior, 4(1), 339–366. https://doi.org/10.1146/annurevorgpsych-032516-113324

Luthans, K. W., Luthans, B. C., & Palmer, N. F. (2016). A positive approach to management education. Journal of Management Development, 35(9), 1098–1118. https://doi.org/10.1108/jmd-06-2015-0091

Maricuțoiu, L. P., & Sulea, C. (2019). Evolution of self-efficacy, student engagement and student burnout during a semester. A multilevel structural equation modeling approach. Learning and Individual Differences, 76, 101785. https://doi.org/10.1016/j.lindif.2019.101785

Martínez, I. M., Meneghel, I., & Peñalver, J. (2019a). Does Gender Affect Coping Strategies Leading to Well-being and Improved Academic Performance?. Revista de Psicodidáctica (English ed.), 24(2), 111-119. https://dx.doi.org/10.1016/j.psicoe.2019.01.002

Martínez, I. M., Meneghel, I., Carmona-Halty, M., & Youssef-Morgan, C. M. (2019b). Adaptation and validation to Spanish of the Psychological Capital Questionnaire–12 (PCQ–12) in academic contexts. Current Psychology. https://doi.org/10.1007/s12144-019-00276-z

Martínez, I. M., Youssef-Morgan, C. M., Chambel, M. J., & Marques-Pinto, A. (2019c). Antecedents of academic performance of university students: academic engagement and psychological capital resources. Educational Psychology, 39(8), 1047–1067. https://doi.org/10.1080/01443410.2019.1623382

McPartlan, P., Rutherford, T., Rodriguez, F., Shaffer, J. F., & Holton, A. (2021). Modality motivation: Selection effects and motivational differences in students who choose to take courses online. The Internet and Higher Education, 49, 100793. https://doi.org/10.1016/j.iheduc.2021.100793.

Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26(1), 29–48. https://doi.org/10.1080/01587910500081269

Nkomo, L. M., Daniel, B. K., & Butson, R. J. (2021). Synthesis of student engagement with digital technologies: a systematic review of the literature. International Journal of Educational Technology in Higher Education, 18(34), 1-26. https://doi.org/10.1186/s41239-021-00270-1

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: MacGraw-Hill Books Company.

Opdenakker, M.-C., & Minnaert, A. (2011). Relationship between Learning Environment Characteristics and Academic Engagement. Psychological Reports, 109(1), 259–284. https://doi.org/10.2466/09.10.11.pr0.109.4.259-284

Ortega-Maldonado, A., & Salanova, M. (2018). Psychological capital and performance among undergraduate students: the role of meaning-focused coping and satisfaction. Teaching in Higher Education, 23(3), 390-402. https://doi.org/10.1080/13562517.2017.1391199

Peiró, J. M., Ayala, Y., Tordera, N., Lorente, L., & Rodríguez, I. (2014). Bienestar sostenible en el trabajo: Revisión y reformulación. Papeles del psicólogo,35(1), 3-13

Pérez-Nebra A. R., Viana B. S., Lira E., Martín-Hernandez P., Gracia-Pérez M. L. & GilLacruz M. (2022) The work design contribution to educational workers’ sustainable wellbeing and performance patterns. Front. Psychol. 13:1020942. https://doi.org/10.3389/fpsyg.2022.1020942

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sourcesof method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539–569. https://doi.org/10.1146/annurevpsych-120710-100452

Richardson, J. T. E. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 6(2), 135–147. https://doi.org/10.1016/j.edurev.2010.12.001

Rubio-Hurtado, M., & Baño, R.V. (2017). The analysis of two-step clusters with SPSS. Revista d’Innovació i Recerca En Educació, 10(1), 118-126. https://doi.org/10.1344/reire2017.10.11017

Salanova, M., Schaufeli, W.B., Martínez, I., & Bresó, E. (2010). How obstacles and facilitators predict academic performance: the mediating role of study burnout and engagement. Anxiety, Stress & Coping, 23(1), 53-70. https://doi.org/10.1080/10615800802609965

Salmela-Aro, K., Tang, X., & Upadyaya, K. (2022). Study demands-resources model of student engagement and burnout. In Handbook of research on student engagement (pp. 77-93). Cham: Springer International Publishing.

Saman, A., & Wirawan, H. (2021). Examining the impact of psychological capital on academic achievement and work performance: The roles of procrastination and conscientiousness. Cogent Psychology, 8(1). https://doi.org/10.1080/23311908.2021.1938853

Sánchez-Cardona, I., Ortega-Maldonado, A., Salanova, M., & Martínez, I. M. (2021). Learning goal orientation and psychological capital among students: A pathway to academic satisfaction and performance. Psychology in the Schools, 58(7), 1432-1445. https://doi.org/10.1002/pits.22505

Schaufeli, W. B., Martinez, I. M., Marques–Pinto, A., Salanova, M., & Bakker, A. (2002). Burnout and engagement in university students: a cross–national study. J. Cross Cult. Psychol. 33, 464–481. https://dx.doi.org/10.1177/0022022102033005003

Schaufeli, W. B., Shimazu, A., Hakanen, J., Salanova, M., & De Witte, H. (2019). An Ultra-Short Measure for Work Engagement. European Journal of Psychological Assessment, 35(4), 577–591. https://doi.org/10.1027/1015-5759/a000430

Sender, G., Nobre, G. C., Armagan, S., & Fleck, D. (2020). In search of the Holy Grail: a 20-year systematic review of the happy-productive worker thesis. International Journal of Organizational Analysis, 29(5), 1199–1224. https://doi.org/10.1108/ijoa09-2020-2401

Shingala, M. C., & Rajyaguru, A. (2015). Comparison of post hoc tests for unequal variance. International Journal of New Technologies in Science and Engineering, 2(5), 22-33.

Slåtten, T., Lien, G., Evenstad, S. B. N., & Onshus, T. (2021). Supportive study climate and academic performance among university students: the role of psychological capital, positive emotions and study engagement. International Journal of Quality and Service Sciences, 13(4), 585–600. https://doi.org/10.1108/ijqss-03-2020-0045

Tordera, N., Peiró, J. M., Ayala, Y., Villajos, E., & Truxillo, D. (2020). The lagged influence of organizations’ human resources practices on employees’ career sustainability: The moderating role of age. Journal of Vocational Behavior, 120, 103444. https://doi.org/10.1016/j.jvb.2020.103444

Wang, X., Tan, S. C., & Li, L. (2020). Technostress in university students’ technologyenhanced learning: An investigation from multidimensional person-environment misfit. Computers in Human Behavior, 105, 106208. https://doi.org/10.1016/j.chb.2019.106208

Wright, T. A., & Staw, B. M. (1999). Further thoughts on the happy–productive worker. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 20(1), 31-34.

Ye, J., Marinova, D., & Singh, J. (2007). Strategic Change Implementation and Performance Loss in the Front Lines. Journal of Marketing, 71(4), 156–171. https://doi.org/10.1509/jmkg.71.4.156