Take care of well-being: how facilitators and engagement predict performance of university students
The interest in developing a high quality educational system requires constant research of the variables involved in the teaching-learning process. Among these variables, social and academic facilitators are important because there is empirical evidence about their positive relationship with engagement, commitment, self-efficacy, happiness and satisfaction in the academic context. Moreover, the psychological well-being of university students (i.e., engagement) showed to positively affect future academic success. In line, the aim of this study is twofold. First, the relevance of social and university academic facilitators was analyzed depending on the faculty of belonging. Second, the effect of social (e.g., Good relationship with classmates) and academic facilitators (e.g., Updated website with new information and easily accessible) as well as academic engagement on academic performance (i.e., GPA) was tested. The sample consisted of 965 University students. The ANOVAs’ results showed the existence of statistically significant differences in social and university academic facilitators among the different faculties. Regression analyses demonstrated that social (but not university’s) facilitators and academic engagement were positively related to academic performance. Additionally, the interaction between social facilitators and academic engagement was positively related to academic performance. The effect was also significant when controlling for gender and faculty. The identification of different facilitators allows to develop different activities depending on the faculty, as well as leading to the optimization of teaching-learning process. Moreover, academic facilitators do not affect academic performance. From a practical view, it means that specific interventions can be implemented during the course so that students’ social facilitators and engagement increase.
Aiken, L. S. and West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Sage, Newbury Park, CA.
Bakker, A. B. and Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22, 309-328. http://dx.doi.org/10.1108/02683940710733115
Bakker, A. B., Sanz Vergel, A. I. and Kuntze, J. (2015). Student engagement and performance: A weekly diary study on the role of openness. Motivation and Emotion, 39(1), 49–62. http://dx.doi.org/10.1007/s11031-014-9422-5
Caraway, K., Tucker, C., Reinke, W. and Hall, C. (2003). Self-efficacy, goal orientation, and fear of failure as predictors of school engagement in high school students. Psychology in Schools, 40, 417–427. http://dx.doi.org/10.1002/pits.10092
Chambel, M. J. and Curral, L. (2005). Stress in academic life: Characteristics as predictors of student well-being and performance. Applied Psychology: An International Review, 54, 135-147. http://dx.doi.org/10.1111/j.1464-0597.2005.00200.x
Cohen, J. and Cohen, P. (1983). Applied multiple regression/correlation analysis for behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
Fredericks, J. A., Blumenfeld, P. C. and Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74, 59–109. http://dx.doi.org/10.3102/00346543074001059
Furrer, C., Skinner, E. A., Marchand, G. C. and Kindermann, T. A. (2006, March). Engagement vs. disaffection as central constructs in the dynamics of motivational development. Presented at the biennial meeting of the Society for Research on Adolescence, San Francisco, CA.
Jaccard, J., Turrisi, R. and Wan, C. (1990). Interaction Effects in Multiple Regression. Sage, Newbury Park, CA.
Martínez, I. M. and Salanova, M. S. (2003). Niveles de burnout y engagement en estudiantes universitarios: relación con el desempe-o y desarrollo profesional [Burnout and engagement levels in university students: relation with performance and professional development]. Revista de Educación, 330, 361-371.
Martínez, I. M., Meneghel, I. and Pe-alver, J. (2014, October). Bienestar, desempe-o y género en estudiantes de la Universitat Jaume I [Well-being, performance and gender in studens of Jaume I University]. Presented at the I Jornadas Nacionales de Salud, Emoción y Género, Castellón de la plana, Spain.
Meneghel, I., Martínez, I. M., Salanova, M. and De Witte, H. (2015). How to promote Academic Satisfaction and Performance: Building Academic Resilience through Coping Strategies. Manuscript submitted for publication.
Peñalver, J., Rodríguez, R. L., Meneghel, I. and Martínez, I. M. (2013, October). Facilitadores Académicos y Satisfacción Percibida en estudiantes universitarios [Academic facilitators and perceived satisfaction in University students]. Presented at the XX Reunión Anual de la S.E.A.S. V Jornadas "Emociones y Bienestar", Madrid, Spain.
Podsakoff, P. M., MacKenzie, S. B., Jeong-Yeon, L. and Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879-903. http://dx.doi.org/10.1037/0021-9010.88.5.879
Podsakoff, P. M., MacKenzie, S. B. and Podsakoff, N. P. (2012). Sources of Method Bias in Social Science Research and Recommendations on How to Control It. Annual Review of Psychology, 63(1), 539-569. http://dx.doi.org/10.1146/annurev-psych-120710-100452
Reschly, A. L., Huebner, E. S., Appleton, J. J. and Antaramian, S. (2008). Engagement as flourishing: The contribution of positive emotions and coping to adolescents' engagement at school and with learning. Psychology in the Schools, 45, 419–431. http://dx.doi.org/10.1002/pits.20306
Salanova, M., Martínez, I. M., Bresó, E., Llorens, S. and Grau, R. (2005). Bienestar psicológico en estudiantes universitarios, facilitadores y obstaculizadores del desempe-o académico [Psychological well-being in University students, facilitators and obstacles of academic performance]. Anales de psicología, 21(1), 170-180.
Salanova, M., Schaufeli, W. B., Martínez, I. M. and 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. http://dx.doi.org/10.1080/10615800802609965
Schaufeli, W. B., Bakker, A.B. and Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66, 701-716. http://dx.doi.org/10.1177/0013164405282471
Schaufeli, W. B., Martínez, I. M., Pinto, A., Salanova, M. and Bakker, A. (2002). Burnout and engagement in university students: A cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464. http://dx.doi.org/10.1177/0022022102033005003
Schaufeli, W. B., Salanova, M., González-Romá, V. and Bakker, A. (2002). The measurement of burnout and engagement: A confirmatory factor analytic approach. Journal of Happiness Studies, 3, 71-92. http://dx.doi.org/10.1023/A:1015630930326
Shoshani, A. and Steinmetz, S. (2014). Positive Psychology at School: A School-Based Intervention to Promote Adolescents' Mental Health and Well-Being. Journal of Happiness Studies, 15(6), 1289-1311. http://dx.doi.org/10.1007/s10902-013-9476-1
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