Recursos y obstáculos que influyen en el rendimiento académico de los adolescentes

Autores/as

DOI:

https://doi.org/10.51660/ripie.v3i1.116

Palabras clave:

pensamiento crítico, engagement académico, apoyo docente, uso problemático tecnología, rendimiento escolar, adolescentes.

Resumen

Introducción: La innovación educativa se refiere a un proceso de cambio en la enseñanza que implica a las personas y la tecnología. El presente estudio tuvo por objetivo analizar las relaciones entre recursos personales, sociales y uso problemático de la tecnología sobre el rendimiento académico de una muestra de adolescentes españoles. Metodología: La muestra estuvo compuesta por 688 adolescentes con edades comprendidas entre 12 y 18 años de Málaga (España), quienes completaron cuestionarios sobre pensamiento crítico, engagement académico, apoyo docente y de compañeros y uso problemático de móviles y redes sociales. Adicionalmente, se registró el rendimiento académico. Se realizaron análisis descriptivos, de correlación y de regresión lineal múltiple por pasos. Resultados: Los resultados indicaron que el pensamiento crítico, el engagement académico, el apoyo docente y el uso problemático de las redes sociales predecían de forma significativa el rendimiento académico. Conclusiones: La innovación educativa implica la transformación de la educación conjugando procesos y medios novedosos con resultados tradicionales. Así, nuestro estudio sugiere que ciertos recursos personales y sociales se relacionan significativamente con el rendimiento académico. Adicionalmente, el uso problemático de redes sociales podría asociarse negativamente con los resultados académicos de los adolescentes.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

Abrami, P. C., Bernard, R. M., Borokhovski, E., Waddington, D. I., Wade, C. A., & Persson, T. (2015). Strategies for Teaching Students to Think Critically: A Meta-Analysis. Review of Educational Research, 85(2), 275–314. https://doi.org/10.3102/0034654314551063

Álvarez de Sotomayor, I. D., & Muñoz Carril, P. C. (2016). Las redes sociales como motivación para el aprendizaje: opinión de los adolescentes. Innoeduca. International Journal of Technology and Educational Innovation, 2(1), 20–28. https://doi.org/10.20548/innoeduca.2016.v2i1.1041

Andreassen, C., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. https://doi.org/10.1037/adb0000160

Arrivillaga, C., Griffiths, M., Rey, L., & Extremera, N. (en revisión). Validation of the Spanish Version of the Bergen Social Media Addiction Scale (BSMAS) among Spanish Adolescents.

Asociación Médica Mundial. (2013). Declaración de Helsinki de la AMM. Principios Éticos para las investigaciones médicas en seres humanos. https://www.wma.net/es/policies-post/declaracion-de-helsinki-de-la-amm-principios-eticos-para-las-investigaciones-medicas-en-seres-humanos/

Azizi, S. M., Soroush, A., & Khatony, A. (2019). The relationship between social networking addiction and academic performance in Iranian students of medical sciences : a cross-sectional study. BMC Psychology, 7(28), 1–8.

Bronfenbrenner, U. (1979). The Ecology of Human Development: Experiments by nature and design. Harvard University Press.

Bourdieu, P. (2004). Intervenciones políticas: Un sociólogo en la barricada. Siglo Veintinuno Editores.

Bukhori, B., Said, H., Wijaya, T., & Nor, F. M. (2019). The effect of smartphone addiction, achievement motivation, and textbook reading intensity on students’ academic achievement. International Journal of Interactive Mobile Technologies, 13(9), 66–80. https://doi.org/10.3991/ijim.v13i09.9566

Carmona-Halty, M., Salanova, M., Llorens, S., & Schaufeli, W. B. (2021). Linking positive emotions and academic performance: The mediated role of academic psychological capital and academic engagement. Current Psychology, 40(6), 2938–2947. https://doi.org/10.1007/s12144-019-00227-8

Carmona-Halty, M., Schaufeli, W., & Salanova, M. (2019). The Utrecht work engagement scale for students (UWES-9S): Factorial validity, reliability, and measurement invariance in a chilean sample of undergraduate university students. Frontiers in Psychology, 10(APR), 1–5. https://doi.org/10.3389/fpsyg.2019.01017

Dennen, V. P., Choi, H., & Word, K. (2020). Social media, teenagers, and the school context: a scoping review of research in education and related fields. Educational Technology Research and Development, 68(4), 1635–1658. https://doi.org/10.1007/s11423-020-09796-z

Dupont, S., Galand, B., & Nils, F. (2015). The impact of different sources of social support on academic performance: Intervening factors and mediated pathways in the case of master’s thesis. Revue Europeenne de Psychologie Appliquee, 65(5), 227–237. https://doi.org/10.1016/j.erap.2015.08.003

Educo. (2021). ¿Qué es la innovación educativa y por qué es importante? https://www.educo.org/blog/innovacion-educativa-que-es

Estrada, M., Monferrer, D., Rodríguez, A., & Moliner, M. Á. (2021). Does emotional intelligence influence academic performance? The role of compassion and engagement in education for sustainable development. Sustainability (Switzerland), 13(4), 1–18. https://doi.org/10.3390/su13041721

Extremera, N., Mérida-López, S., Rey, L., y Peláez-Fernández, M.A. (2021). Programa CRECIENDO. Creando competencias de inteligencia emocional en nuevos docentes. Editorial Aula Magna McGraw-Hill.

Fadel, C., Bialik, M., & Trilling, B. (2015). Educación en cuatro dimensiones. Center for Curriculum Redesign.

Fernández-Lasarte, O., Goñi, E., Camino, I., & Ramos-Díaz, E. (2019). Apoyo social percibido e implicación escolar del alumnado de educación secundaria. Revista Española de Pedagogía, 77(272), 123–141. https://doi.org/10.22550/rep77-1-2019-06

Fernández-Lasarte, O., Ramos-Díaz, E., & Axpe Sáez, I. (2019). Rendimiento académico, apoyo social percibido e inteligencia emocional en la universidad. European Journal of Investigation in Health, Psychology and Education, 9(1), 39. https://doi.org/10.30552/ejihpe.v9i1.315

Fernández-Lasarte, O., Ramos-Díaz, E., Goñi-Palacios, E., & Rodríguez-Fernández, A. (2020). The role of social support in school adjustment during secondary education. Psicothema, 32(1), 100–107. https://doi.org/10.7334/psicothema2019.125

Fong, C. J., Kim, Y., Davis, C. W., Hoang, T., & Kim, Y. W. (2017). A meta-analysis on critical thinking and community college student achievement. Thinking Skills and Creativity, 26(October 2016), 71–83. https://doi.org/10.1016/j.tsc.2017.06.002

Fullan, M., & Langworthy, M. (2014). Una Rica Veta. Pearson.

Giménez Hernández, M., Vázquez Valverde, C., & Hervás Torres, G. (2010). La medida de las fortalezas psicológicas en adolescentes (VIA-Youth) : relación con clima familiar, psicopatología y bienestar psicológico. [Tesis doctoral inédita]. Universidad Complutense de Madrid.

Grant, J. E., Lust, K., & Chamberlain, S. R. (2019). Problematic smartphone use associated with greater alcohol consumption,mental health issues, poorer academic performance, and impulsivity. Journal of Behavioral Addictions, 8(2), 335–342. https://doi.org/10.1556/2006.8.2019.32

Hombrados-Mendieta, M. I., Gómez-Jacinto, L., Domínguez-Fuentes, J. M., García-Leiva, P., & Castro-Travé, M. (2012). Types of social support provided by parents, teachers, and classmates during adolescence. Journal of Community Psychology, 40(6), 645–664. https://doi.org/10.1002/jcop

Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13.

Kliesener, T., Meigen, C., Kiess, W., & Poulain, T. (2022). Associations between problematic smartphone use and behavioural difficulties , quality of life , and school performance among children and adolescents. BMC Psychiatry, 22(195), 1–12. https://doi.org/10.1186/s12888-022-03815-4

Kuhn, D. (2011). Developmental Model of Critical Thinking. Educational Researcher, 28(2), 16–25.

Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. PLoS ONE, 8(12), 1–7. https://doi.org/10.1371/journal.pone.0083558

Lam, S. F., Jimerson, S., Kikas, E., Cefai, C., Veiga, F. H., Nelson, B., Hatzichristou, C., Polychroni, F., Basnett, J., Duck, R., Farrell, P., Liu, Y., Negovan, V., Shin, H., Stanculescu, E., Wong, B. P. H., Yang, H., & Zollneritsch, J. (2012). Do girls and boys perceive themselves as equally engaged in school? The results of an international study from 12 countries. Journal of School Psychology, 50(1), 77–94. https://doi.org/10.1016/j.jsp.2011.07.004

Latorre-Iglesias, E.-L., Castro-Molina, K.-P., & Potes-comas, I.-D. (2018). Las tic, las tac y las tep: innovación educativa en la era conceptual. En Las tic, las tac y las tep: innovación educativa en la era conceptual. https://doi.org/10.22518/book/9789588987316

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

Lin, N., Dean, A., & Ensel, W. (1986). Social support, life events, and depression. Academic Press Inc.

Lopez-Fernandez, O. (2017). Short version of the Smartphone Addiction Scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addictive Behaviors, 64, 275–280. https://doi.org/10.1016/j.addbeh.2015.11.013

Malak, M. Z., Shuhaiber, A. H., Al-amer, R. M., Abuadas, H., & Aburoomi, R. J. (2022). Correlation between psychological factors , academic performance and social media addiction: model-based testing. Behaviour & Information Technology, 41(8), 1583–1595. https://doi.org/10.1080/0144929X.2021.1891460

Marino, C., Mazzieri, E., Caselli, G., Vieno, A., & Spada, M. M. (2018). Motives to use Facebook and problematic Facebook use in adolescents. Journal of Behavioral Addictions, 7(2), 276–283. https://doi.org/10.1556/2006.7.2018.32

Martínez, I. M., Youssef-Morgan, C. M., Chambel, M. J., & Marques-Pinto, A. (2019). 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

Meng, H., Cao, H., Hao, R., Zhou, N., Liang, Y., Wu, L., Jiang, L., Ma, R., Li, B., Deng, L., Lin, Z., Lin, X., & Zhang, J. (2020). Smartphone use motivation and problematic smartphone use in a national representative sample of Chinese adolescents: The mediating roles of smartphone use time for various activities. Journal of Behavioral Addictions, 9(1), 163–174. https://doi.org/10.1556/2006.2020.00004

Musa, M. (2020). Investigation of the relationship between critical thinking levels and academic achievement levels of students in Faculty of Sports Science. Educational Research and Reviews, 15(7), 370–376. https://doi.org/10.5897/err2020.3946

Park, N., & Peterson, C. (2006). Moral competence and character strengths among adolescents: the development and validation of the Values in Action Inventory of Strengths for Youth. Journal of Adolescence, 29(6), 891–909. https://doi.org/10.1016/j.adolescence.2006.04.011

Peláez, M. J., Coo, C., & Salanova, M. (2020). Facilitating Work Engagement and Performance Through Strengths-Based Micro-coaching: A Controlled Trial Study. Journal of Happiness Studies, 21(4), 1265–1284. https://doi.org/10.1007/s10902-019-00127-5

Peterson, C., & Seligman, M. (2004). Character strengths and virtues. A Handbook and classification. In American Journal of Psychiatry (Vol. 162, Issue 4). https://doi.org/10.1176/appi.ajp.162.4.820-a

Pivetta, E., Harkin, L., Billieux, J., Kanjo, E., & Kuss, D. J. (2019). Problematic smartphone use: An empirically validated model. Computers in Human Behavior, 100, 105–117. https://doi.org/10.1016/j.chb.2019.06.013

Ren, X., Tong, Y., Peng, P., & Wang, T. (2020). Critical thinking predicts academic performance beyond general cognitive ability: Evidence from adults and children. Intelligence, 82(August), 101487. https://doi.org/10.1016/j.intell.2020.101487

Rivas, A. (2017). Cambio e innovación educativa: las cuestiones cruciales. Santillana.

Rodríguez-Sánchez, A. M., Hakanen, J., & Salanova, M. (2020). Building efficacy beliefs through team task engagement and past task performance in contemporary teams. BRQ Business Research Quarterly, 24(2), 129–142. https://doi.org/10.1177/2340944420924404

Schaufeli, W. B., Martínez, I. M., Pinto, A. M., Salanova, M., & Barker, A. B. (2002). Burnout and engagement in university students a cross-national study. Journal of Cross-Cultural Psychology, 33(5), 464–481. https://doi.org/10.1177/0022022102033005003

Stockdale, L. A., & Coyne, S. M. (2020). Bored and online: Reasons for using social media, problematic social networking site use, and behavioral outcomes across the transition from adolescence to emerging adulthood. Journal of Adolescence, 79(January), 173–183. https://doi.org/10.1016/j.adolescence.2020.01.010

Tokunaga, R. S. (2016). An Examination of Functional Difficulties From Internet Use: Media Habit and Displacement Theory Explanations. Human Communication Research, 42(3), 339–370. https://doi.org/10.1111/hcre.12081

Torsheim, T., Wold, B., & Samdal, O. (2000). The Teacher and Classmate Support Scale: Factor Structure, Test-retest Reliability and Validity in Samples of 13- and 15-Year-Old Adolescents. School Psychology International, 21(2), 195–212. https://doi.org/10.1177/0143034300212006

Torsheim, T., Samdal, O., Rasmussen, M., Freeman, J., Griebler, R., & Dur, W. (2010). Cross-national measurement invariance of the Teacher and Classmate Support Scale. Social Indicators Research, 105, 145–160. https://doi.org/10.1007/s11205-010-9770-9

Wartberg, L., Kriston, L., & Thomasius, R. (2020). Internet gaming disorder and problematic social media use in a representative sample of German adolescents: Prevalence estimates, comorbid depressive symptoms and related psychosocial aspects. Computers in Human Behavior, 103(April 2019), 31–36. https://doi.org/10.1016/j.chb.2019.09.014

Winskel, H., Kim, T. H., Kardash, L., & Belic, I. (2019). Smartphone use and study behavior: A Korean and Australian comparison. Heliyon, 5(7), e02158. https://doi.org/10.1016/j.heliyon.2019.e02158

World Economic Forum. (2015). New Vision for Education. Unlocking the potential of technology. En AIP Conference Proceedings (Vol. 1702). https://doi.org/10.1063/1.4938795

Descargas

Publicado

2023-01-01

Cómo citar

Recursos y obstáculos que influyen en el rendimiento académico de los adolescentes. (2023). Revista Internacional De Pedagogía E Innovación Educativa, 3(1), 115-138. https://doi.org/10.51660/ripie.v3i1.116