Validación de la escala multifactorial mixta de engagement educativo (EMMEE)
Resumen
Actualmente, el engagement educativo se considera uno de los factores más importantes a la hora de predecir un buen aprendizaje por parte de los estudiantes, así como su éxito educativo. Sin embargo, la mayoría de los instrumentos descritos, no incluyen todos los factores clave vinculados al engagement académico: motivaciones, valores, contextos de aprendizaje, estado emocional y estrategias de gestión. El objetivo de este estudio es desarrollar una escala para valorar el nivel de engagement educativo de los estudiantes en Educación Superior (EMMEE) que supere esta limitación. Método: Se realizan análisis factoriales exploratorio y confirmatorio, así como un estudio de la consistencia interna, validez convergente y discriminante en una muestra de 764 estudiantes de la Universidad de Sevilla (España), perteneciente a todas las áreas de saber y los diferentes cursos de grados. Resultados: Se explora y se confirma con muy buen nivel de ajuste una estructura multifactorial de engagement educativo de cinco factores que explican una varianza cercana al 65.78%, con una excelente consistencia interna (α = .91) y con indicios significativos de validez convergente y discriminante. Conclusiones: Se concluye que la EMMEE es un instrumento válido y fiable para medir el nivel de engagement de las aulas, así como mejorar el entendimiento del constructo a través de sus factores.
Descargas
Citas
Al-Alwan, A. (2014). Modeling the relations among parental involvement, school engagement and academic performance of high school students. International Education Studies, 7(4), 47. http://dx.doi.org/10.5539/ies.v7n4p47
Allodi, M. (2010). The meaning of social climate of learning environments: Some reasons why we do not care enough about it. Learning Environments Research, 13(2), 89-104. https://doi.org/10.1007/s10984-010-9072-9
Bentler, P. M. (2006). EQS 6 structural equations program manual. Encino, CA: Multivariate Software.
Beymer, P. N., Rosenberg, J. M., Schmidt, J. A., & Naftzger, N. J. (2018). Examining Relationships among Choice, Affect, and Engagement in Summer STEM Programs. Journal of Youth and Adolescence, 1-14. https://doi.org/10.1007/s10964-018-0814-9
Bilge, F., Dost, M., & Cetin, B. (2014). Factors Affecting Burnout and School Engagement among High School Students: Study Habits, Self-Efficacy Beliefs, and Academic Success. Educational Sciences: Theory & Practice, 14(5), 1721-1727. https://doi.org/10.12738/estp.2014.5.1727
Brickman, S., Alfaro, E., Weimer, A., & Watt, K. (2013). Academic Engagement: Hispanic Developmental and Non developmental Education Students. Journal of Developmental Education, 37(2), 14. http://www.jstor.org/stable/24613986
Brown, T. (2006). CFA with equality constraints, multiple groups, and mean structures. In T. Brown (Ed.), Confirmatory factor analysis for applied research (pp. 236-319). New York, NY: Guildford Press.
Caballero, D., Cecilia, C., Abello, L, & Palacio, S. (2007). Relación del burnout y el rendimiento académico con la satisfacción frente a los estudios en estudiantes universitarios. Avances en psicología latinoamericana, 25(2), 98-111. http://www.redalyc.org/comocitar.oa?id=79925207
Chapman, E. (2003). Alternatives approaches to assessing Student Engagement Rates. Practical Assessment, Research and Evaluation, 8(13). https://goo.gl/jPqtTK
Chin, W. (2004). PLS-Graph. Version 3.00. build 1060. Texas, USA: University of Houston.
Churchill, G. (1979). A paradigm for developing better measures of marketing constructs. Journal of marketing research, 16(1), 64-73. https://doi.org/10.2307/3150876
Doctoroff, G. L., & Arnold, D. H. (2017). Doing homework together: The relation between parenting strategies, child engagement, and achievement. Journal of Applied Developmental Psychology, 48, 103-113. https://doi.org/10.1016/j.appdev.2017.01.001
Eccles, J. (2008). Can middle school reform increase high school graduation rates? Santa Barbara, Estados Unidos: Univerity of California. http://cdrpsb.org/researchreport12.pdf
Extremera, N., Durán, M., & Rey, L. (2007). Inteligencia emocional y su relación con los niveles de burnout, engagement y estrés en estudiantes universitarios. Revista de educación, 342(1), 239-256. https://goo.gl/UZGCAf
Fall, A., & Roberts, G. (2012). High school dropouts: Interactions between social context, self perceptions, school engagement, and student dropout. Journal of Adolescence, 35(4), 787-798. https://doi.org/10.1016/j.adolescence.2011.11.004
Fornell, C., & Larcker, F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, pp. 39-50. https://www.jstor.org/stable/3151312
Gazelle, H. (2006). Class climate moderates peer relations and emotional adjustment in children with an early history of anxious solitude: A child environment model. Developmental psychology, 42(6), 1179. http://dx.doi.org/10.1037/0012-1649.42.6.1179
Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information systems, 16(1), 5. http://dx.doi.org/10.13140/RG.2.1.1111.4324
Gilbert, P. (2007). Evolved minds and compassion in the therapeutic relationship. En P. Gilbert y R. Leahy (Eds.), The Therapeutic Relationship in the Cognitive-Behavioural Psychotherapies (pp. 106–142). Londres, Inglaterra: Routledge.
González, A., & Verónica, P. (2014). Engagement and Performance in Physics: The Role of Class Instructional Strategies, and Student’s Personal and Situational Interest. Revista de Psicodidáctica, 20(1), 25-45. http://dx.doi.org/10.1387/RevPsicodidact.11370
Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis. New Jersey, NJ: Upper Saddle River
Hair, J., Black, W., Babin, B., & Anderson R. (2014). Exploratory factor analysis. In J. Hair, W. Black, B. Babin & R. Anderson (Eds.), Multivariate Data Analysis (pp.89-150). Essex, England: Pearson Education Ltd.
Hamre, B., & Pianta, R. (2005). Can instructional and emotional support in the first‐grade classroom make a difference for children at risk of school failure? Child development, 76(5), 949-967. https://doi.org/10.1111/j.1467-8624.2005.00889.x
Harris, A. (2008). Leading Innovation and Change: knowledge creation by schools for schools. European Journal of Education, 43(2), 219-228. https://doi.org/10.1111/j.1465-3435.2008.00343.x
Hirschfield, P., & Gasper, J. (2011). The relationship between school engagement and delinquency in late childhood and early adolescence. Journal of Youth Adolescence, 40, 3-22. https://doi.org/10.1007/s10964-010-9579-5
Hoyle, R. (1995). Structural equation modeling: Concepts, issues, and applications. London: Sage.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Kasser, T. (2002). The high price of materialism. Londres, Inglaterra: MIT Press.
Kimbark, K., Peters, M. L., & Richardson, T. (2017). Effectiveness of the student success course on persistence, retention, academic achievement, and student engagement. Community College Journal of
Research and Practice, 41(2), 124-138. https://doi.org/10.1080/10668926.2016.1166352
Ladd, G., & Dinella, L. (2009). Continuity and change in early school engagement: Predictive of children's achievement trajectories from first to eighth grade? Journal of Educational Psychology, 101(1), 190-206. https://doi.org/10.1037/a0013153
Lekes, N., Hope, N. H., Gouveia, L., Koestner, R., & Philippe, F. L. (2012). Influencing value priorities and increasing well-being: The effects of reflecting on intrinsic values. The Journal of Positive Psychology, 7(3), 249-261. https://doi.org/10.1080/17439760.2012.677468
Liu, R. D., Zhen, R., Ding, Y., Liu, Y., Wang, J., Jiang, R., & Xu, L. (2018). Teacher support and math engagement: roles of academic self-efficacy and positive emotions. Educational Psychology, 38(1), 3-16. https://doi.org/10.1080/01443410.2017.1359238
López, L., & Moreno, J. (2013). Los procesos de coaching como potenciadores del engagement. Tourism & Management Studies, (2), 536-550. http://dx.doi.org/10.1016/j.estger.2015.03.002
Lorenzo-Seva, U., & Ferrando, P.J. (2013). FACTOR 9.2 A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models. Applied Psychological Measurement, 37(6), 497-498. https://doi.org/10.1177%2F0146621613487794
Martínez, I., & Salanova, M. (2003). Niveles de burnout y engagement en estudiantes universitarios: relación con el desempeño y desarrollo profesional. Revista de Educación, 330(1), 361-371. http://dx.doi.org/10.6018/eglobal.17.2.268831
Marzano, R., & Pickering, D. (2011). The Highly Engaged Classroom. Bloomington, Estados Unidos: Marzano Research Laboratory.
Meyer, E. (2010). Gender and sexual diversity in schools (Vol. 10). Berlín, Alemania: Springer Science & Business Media. https://doi.org/10.1007/978-90-481-8559-7
Mitra, D., & Serriere, S. (2012). Student Voice in Elementary School Reform Examining Youth Development in Fifth Graders. American Educational Research Journal, 49(4), 743-774. https://doi.org/10.3102%2F0002831212443079
Nunnally, J. (1967). Psychometric Theory. New York: McGraw Hill.
O'Brien, P., & Lai, M. (2011). Student Voice: How can it help us to understand students' experiences of school? Wellington, New Zealand: Assessment Symposium, Rutherford House.
Parsons, J., & Taylor, L. (2011). Improving student engagement. Current issues in education, 14(1). https://cie.asu.edu/ojs/index.php/cieatasu/article/view/745
Reeve, J., Jang, H., Carrell, D., Jeon, S., & Barch, J. (2004). Enhancing students' engagement by increasing teachers' autonomy support. Motivation and emotion, 28(2), 147-169. https://doi.org/10.1023/B:MOEM.0000032312.95499.6f
Reyes, S. (2016). Fortalecer la implicación y el compromiso de los estudiantes con la universidad. Una visión multidimensional del engagement. Tesis Doctoral. Sevilla, España: Universidad de Sevilla. https://idus.us.es/xmlui/handle/11441/52285
Robinson, C., & Hullinger, H. (2008). New benchmarks in higher education: Student engagement in online learning. Journal of Education for Business, 84(2), 101–109. https://doi.org/10.3200/JOEB.84.2.101-109
Rumberger, R. (2011). High school dropouts in the United States. En S. Lamb, E. Markussen, R. Teese, J. Polesel & N. Sandberg (Eds.), School dropout and completion (pp. 275–294). Berlín, Alemania: Springer. https://doi.org/10.1007/978-90-481-9763-7
Ryan, R., & Deci, E. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25, 54-67. https://doi.org/10.1006/ceps.1999.1020
Saeed, S., & Zyngier, D. (2012). How motivation influences student engagement: A qualitative case study. Journal of Education and Learning, 1(2), 252. http://dx.doi.org/10.5539/jel.v1n2p252
Salanova, M., & Schaufeli, W. (2009). El engagement en el trabajo: cuando el trabajo se convierte en pasión. España: Alianza Editorial. https://goo.gl/6qudE1
Salanova, M., Bakker, A. & Llorens, S. (2006). Flow at Work: Evidence for a Gain Spiral of Personal and Organizational Resources. Journal of Happiness Studies, 7, 1-22. https://doi.org/10.1007/s10902-005-8854-8
Scardamalia, M., & Bereiter, C. (1996). Engaging students in a knowledge society. Educational leadership, 54(3), 6-10. https://doi.org/10.1016/j.compedu.2009.07.003
Schaufeli W., & Bakker A. (2003). Utrecht Work Engagement Scale (UWES) Preliminary Manual. Utrecht, Países Bajos: Occupational Health Psychology Unit, University, ND. https://goo.gl/nqu9zE
Schmidt, J., Kackar-Cam, H., Strati, A., & Shumow, L. (2015). The Role of Challenge in Students' Engagement and Competence in High School Science Classrooms: Hispanic and Non-Hispanic Whites Compared. NCSSS Journal, 20(1), 20-26. https://doi.org/10.1371/journal.pone.0027826
Serrano, C., & Andreu, Y. (2016). Perceived emotional intelligence, subjective well-being, perceived stress, engagement and academic achievement of adolescents. Revista de Psicodidáctica, 21(2). https://doi.org/10.1387/RevPsicodidact.14887
Shernoff, D. (2012). Engagement and positive youth development: Creating optimal learning environments. En J. Royer (Ed.), Individual differences and cultural and contextual factors. APA handbooks in psychology (pp. 195-220). Washington, Estados Unidos: American Psychological Associaton. http://www.apa.org/pubs/books/4311503.aspx?tab=2
Shernoff, D., Tonks, S., & Anderson, B. G. (2014). The impact of the learning environment on student engagement in high school classrooms. Engaging youth in schools: Evidence-based models to guide future innovations. Nueva York, Estados Unidos: NSSE Yearbooks by Teachers College Record.
Suttle, C. (2010). Engagement in online courses (Tesis Doctoral). Capella University, Estados Unidos.
Vickers, M., Finger, L., Barker, K., & Bodkin-Andrews, G. (2014). Measuring the Impact of Students' Social Relations and Values: Validation of the Social-Relational Support for Education Instrument. Australian Journal of Educational & Developmental Psychology, 14, 71-92. https://doi.org/10.1037/0021-9010.82
Wang, M., & Holcombe, R. (2010). Adolescent’s perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47, 633-662. https://doi.org/10.3102/0002831209361209
Wang, M., Willett, J., & Eccles, J. (2011). The assessment of school engagement: Examining dimensionality and measurement invariance by gender and race/ethnicity. Journal of School Psychology, 49(4), 465-480. https://doi.org/10.1016/j.jsp.2011.04.001
Williams, K., & Williams, C. (2011). Five key ingredients for improving student motivation. Research in Higher Education Journal, (12), 1-23. https://doi.org/10.12691/education-3-5-19
Willms, J., Friesen, S., & Milton, P. (2009). Executive summary. What did you do in school today? Transforming classrooms through social, academic, and intellectual engagement. Toronto, Canada: Canadian Education Associaton. https://goo.gl/oriNhy
Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806-838. https://doi.org/10.1177/0011000006288127
Yates, A., Brindley-Richards, W., & Thistoll, T. (2014). Student engagement in distance-based vocational education. Journal of Open, Flexible and Distance Learning, 18(2), 29-43. https://doi.org/10.1080/13538320500074915
Yazzie-Mintz, E. (2010). Charting the path from engagement to achievement: A report on the 2009 High School Survey of Student Engagement. Bloomington, Estados Unidos: High School Survey of Student Engagement. http://hub.mspnet.org/index.cfm/20806
Zhang, J., Scardamalia, M., Reeve, R., & Messina, R. (2009). Designs for collective cognitive responsibility in knowledge-building communities. The Journal of the Learning Sciences, 18(1), 7-44. https://doi.org/10.1007/s11251-004-2518-7
Zyngier, D. (2011). (Re)conceptualising risk: left numb and unengaged and lost in a no-man’s-land or what (seems to) work for at-risk students. International Journal of Inclusive Education, 15(2), 211-231. https://doi.org/10.1080/13603110902781427
Derechos de autor 2021 Servicio de Publicaciones, Universidad de Murcia (España)
Esta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0.
Las obras que se publican en esta revista están sujetas a los siguientes términos:
1. El Servicio de Publicaciones de la Universidad de Murcia (la editorial) conserva los derechos patrimoniales (copyright) de las obras publicadas, y favorece y permite la reutilización de las mismas bajo la licencia de uso indicada en el punto 2.
© Servicio de Publicaciones, Universidad de Murcia, 2024
2. Las obras se publican en la edición electrónica de la revista bajo una licencia Creative Commons Reconocimiento-CompartirIgual 4.0 Internacional (texto legal). Se pueden copiar, usar, difundir, transmitir y exponer públicamente, siempre que: i) se cite la autoría y la fuente original de su publicación (revista, editorial y URL de la obra); ii) no se usen para fines comerciales; iii) se mencione la existencia y especificaciones de esta licencia de uso.
3. Condiciones de auto-archivo. Se permite y se anima a los autores a difundir electrónicamente las versiones pre-print (versión antes de ser evaluada y enviada a la revista) y/o post-print (versión evaluada y aceptada para su publicación) de sus obras antes de su publicación, ya que favorece su circulación y difusión más temprana y con ello un posible aumento en su citación y alcance entre la comunidad académica. Color RoMEO: verde.