Relaciones de la motivación con la metacognición y el desempeño en el rendimiento cognitivo en estudiantes de educación primaria

Autores/as

DOI: https://doi.org/10.6018/analesps.383941
Palabras clave: Rendimiento cognitivo, Motivación, Metacognición, Motivación a metas, Logro académico, Educación primaria

Resumen

Diversas investigaciones destacan la importancia de la motiva-ción en el rendimiento cognitivo y también la importancia de la motivación en la metacognición. El objetivo de esta investigación es indagar en las va-riables motivacionales que influyen en el rendimiento de tareas cognitivas y en la metacognición. La investigación se ha realizado en un colegio público de la Comunidad de Madrid. La muestra de este estudio corresponde a 354 alumnos de educación primaria, entre los 8 y 11 años de edad. Los instru-mentos de medida seleccionados son: el cuestionario de Motivación hacia el Aprendizaje (MAPE-I), para las variables motivacionales; el Junior Meta-cognitive Awareness Inventory (Jr. MAI), para las variables metacognitivas y la batería de pruebas de Evaluación Neuropsicológica de las Funciones Ejecutivas en Niños (ENFEN), para la evaluación del rendimiento cogniti-vo. Los resultados obtenidos muestran efecto de la motivación de orienta-ción al aprendizaje en relación con el rendimiento cognitivo en las pruebas que implican inhibición, flexibilidad y memoria operativa. También se ob-serva efecto significativo entre la disposición al esfuerzo y la regulación del conocimiento. Igualmente, se analizan las relaciones entre las variables por curso para determinar el efecto de la edad. Se valoran las implicaciones educativas de los resultados.

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Biografía del autor/a

Natalia Lara Nieto-Márquez, Universidad Camilo José Cela

Natalia Lara currently works at Smile and Learn Digital Creations with the project IND2017/SOC-7874. Her studies are linked with Camilo José Cela University with a 'Technology education PhD'. Her research interests are self regulated learning (SRL), game based learning (GBL), metacognition, motivation and executive functions. She develops digital material for learning Science at Smile and Learn Digital Creations.

https://www.researchgate.net/profile/Natalia_Lara5

https://www.linkedin.com/in/n-lara/?locale=es_ES

Citas

Ames, C., y Archer, J. (1988). Achievement goals in the classroom: students’ learning strategies and motivation processes. Journal of Educational Psychology, 80 (3), 260-267. Recuperado de: http://dx.doi.org/10.1037/0022-0663.80.3.260.

Bahri, A., y Corebima, A. D. (2015). The contribution of learning motivation and metacognitive skill on cognitive learning outcome of students within different learning strategies. Journal of Baltic Science Education, 14(4), 487-500. Recuperado de: http://eprints.unm.ac.id/11457/1/Bahri_JBSE_Vol.14_No.4%20487-500..pdf

Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational psychologist, 28 (2), 117-148. doi: https://doi.org/10.1207/s15326985ep2802_3

Barca-Lozano, A., Almeida, L. S., Porto-Rioboo, A. M., Peralbo, M., y Brenlla-Blanco, J. C. (2012). Motivación escolar y rendimiento: impacto de metas académicas, de estrategias de aprendizaje y autoeficacia. Anales de psicología, 28(3), 848-859. doi: https://doi.org/10.6018/analesps.28.3.156101

Bembenutty, H. (2007). Self-regulation of learning and academic delay of gratification: Gender and ethnic differences among college students. Journal of advanced academics, 18(4), 586-616. doi: https://doi.org/10.4219/jaa-2007-553

Best, J. R., Miller, P. H., y Naglieri, J. A. (2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327–336. doi:10.1016/j.lindif.2011.01.007.

Borkowski, J. G., Chan, L. K., y Muthukrishna, N. (2000). A process-oriented model of metacognition: Links between motivation and executive functioning. Issues in the Measurement of Metacognition. 2. Recuperado de: http://digitalcommons.unl.edu/burosmetacognition/2

Brocki, K. C., y Bohlin, G. (2004). Executive functions in children aged 6 to 13: A dimensional and developmental study. Developmental neuropsychology, 26(2), 571-593. doi: https://doi.org/10.1207/s15326942dn2602_3

Coutinho, S. y Neuman, G. (2008). A model of metacognition, achievement goal orientation, learning style and self-efficacy. Learning environments research, 11 (2), 131-151. doi: https://doi.org/10.1007/s10984-008-9042-7

Diamond, A. (2013). Executive functions. Annual review of psychology, 64, 135-168. doi: https://doi.org/10.1146/annurev-psych-113011-143750

Dweck, C. S. (1986). Motivational processes affecting learning. American psychologist, 41(10). 1040-1048. doi: http://dx.doi.org/10.1037/0003-066X.41.10.1040

Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational psychologist, 46 (.1), 6-25. doi: https://doi.org/10.1080/00461520.2011.538645

Elliott, E. S., y Dweck, C. S. (1988). Goals: An approach to motivation and achievement. Journal of personality and social psychology, 54(1), 5. doi: 10.1037//0022-3514.54.1.5

Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American psychologist, 34(10), 906-901. doi: http://dx.doi.org/10.1037/0003-066X.34.10.906

Follmer, D. J., y Sperling, R. A. (2016). The mediating role of metacognition in the relationship between executive function and self-regulated learning. British Journal of Educational Psychology, 86(4), 559–575. doi:10.1111/bjep.12123

Gaeta, M. L. (2006). Estrategias de autorregulación del aprendizaje: contribución de la orientación de meta y la estructura de metas del aula. Revista Electrónica Interuniversitaria de Formación del Profesorado, 9(1). Recuperado de: http://www.aufop.com/aufop/home/ - Consulted march 20, 2010

Gaeta, M. L., Teruel, M. P., y Orejudo, S. (2012). Motivational, volitional and metacognitive aspects of self regulated learning. Electronic Journal of Research in Educational Psychology, 10(1), 73-94. Recuperado de: http://investigacion-psicopedagogica.com/revista/articulos/26/english/Art_26_640.pdf

García, T., Rodríguez, C., González-Castro, P., y Álvarez-García, D. (2016). Metacognition and executive functioning in Elementary School. Anales de psicología, 32(2), 474-483. doi: http://dx.doi.org/10.6018/analesps.32.2.202891

Garcia, T., y Pintrich, P. R. (1994). Regulating motivation and cognition in the classroom: The role of self-schemas and self-regulatory strategies. In D. H. Schunk y B. J. Zimmerman (Eds.), Self-regulation of learning and performance: Issues and educational applications (pp. 101-124). Hillsdale, NJ: Erlbaum

González Cabanach, R., Valle Arias, A., Núñez Pérez, J. C., y González García, J. A. (1996). Una aproximación teórica al concepto de metas académicas y su relación con la motivación escolar. Psicothema, 8 (1). Recuperado de: http://digibuo.uniovi.es/dspace/bitstream/10651/29565/1/Psicothema.1996.8.1.45-61.pdf

González-Pienda, J. A. (2003). El rendimiento escolar. Un análisis de las variables que lo condicionan. Revista Galego-Portuguesa de psicoloxía e Educación, 7 (8), 247-258. Recuperado de: https://ruc.udc.es/dspace/bitstream/handle/2183/6952/?sequence=1

Kane, M. J., y Engle, R. W. (2003). Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. Journal of experimental psychology: General, 132(1), 47. Recuperado de: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.323.3307yrep=rep1ytype=pdf

Karlen, Y. (2016). Differences in students' metacognitive strategy knowledge, motivation, and strategy use: A typology of self-regulated learners. The Journal of Educational Research, 109(3), 253-265. doi: 10.1080/00220671.2014.942895

Konrad, S. Č. (2015). “How and Why should i study?”: Metacognitive Learning strategies and Motivational beliefs as important Predictors of Academic Performance of student teachers. The new Educational Review, 42(4), 239-250 doi: 10.15804/tner.2015.42.4.20

Landine, J. y Stewart, J. (1998). Relationship Between Metacognition, Motivation, Locus of Control, Self-Efficacy, and Academic Achievement. Canadian Journal of Counselling, 32(3), 200-212. Recuperado de: https://files.eric.ed.gov/fulltext/EJ576966.pdf

Marulis, L. M., Baker, S. T., y Whitebread, D. (2018). Integrating metacognition and executive function to enhance young children’s perception of and agency in their learning. Early Childhood Research Quarterly. doi: https://doi.org/10.1016/j.ecresq.2018.12.017

McCombs, B. L. (1984). Processes and skills underlying continuing intrinsic motivation to learn: Toward a definition of motivational skills training interventions. Educational Psychologist, 19 (4), 199-218. doi: 10.1080/00461528409529297

McCombs, B. L. (1988). Motivational skills training: Combining metacognitive, cognitive, and affective learning strategies. In Learning and study strategies (pp. 141-169). doi: https://doi.org/10.1016/B978-0-12-742460-6.50015-3

Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., y Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49 –100. doi:10.1006/cogp.1999.0734

Mok, Y. F., Fan, R. M. T., y Pang, N. S. K. (2007). Developmental patterns of school students' motivational‐and cognitive‐metacognitive competencies. Educational Studies, 33(1), 81-98. doi: 10.1080/03055690600948281

Molfese, V. J., Molfese, P. J., Molfese, D. L., Rudasill, K. M., Armstrong, N., y Starkey, G. (2010). Executive function skills of 6–8 year olds: Brain and behavioral evidence and implications for school achievement. Contemporary Educational Psychology, 35, 116–125. doi:10.1016/ j.cedpsych.2010.03.004

Núñez Pérez, J. C., González García, J. A., García Rodríguez, M. S., González-Pumariega Solís, S., Roces Montero, C., Álvarez Pérez, L., y González Torres, M. D. C. (1998). Estretegias de aprendizaje, autoconcepto y rendimiento académico. Psicothema, 10 (1) 97-109. Recuperado de: http://digibuo.uniovi.es/dspace/handle/10651/29244

Paris, S.G., y Newman, R.S. (1990) Development Aspects of Self-Regulated Learning, Educational Psychologist, 25(1), 87-102. doi: 10.1207/s15326985ep2501_7

Park, S. B., y Bae, S. J. (2014). Different routes to metacognitive judgments: The role of accuracy motivation. Journal of Consumer Psychology, 24(3), 307-319. doi: https://doi.org/10.1016/j.jcps.2013.09.002

Pintrich, P. (2000). An achievement goal theory perspective on issues in motivation terminology, theory, and research. Contemporary Educational Psychology, 25 (1), 92-104. doi: https://doi.org/10.1006/ceps.1999.1017

Pintrich, P. y De Groot, E. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of educational psychology, 82 (1), 33-40. doi: https://doi.org/O022-O663/90/$00.75

Portellano, J.A., Martínez-Arias, R. y Zumárraga, L., (2011). ENFEN. Evaluación Neuropsicológica de las funciones ejecutivas en niños. Madrid, España: TEA Ediciones, S.A.U

Roebers, C. M. (2017). Executive function and metacognition: Towards a unifying framework of cognitive self-regulation. Developmental Review, 45, 31-51. doi: https://doi.org/10.1016/j.dr.2017.04.001

Schunk, D. H. (1996). Goal and self-evaluative influences during children’s cognitive skill learning. American educational research journal, 33(2), 359-382. doi: https://doi.org/10.3102/00028312033002359

Schunk, D. H. (2005). Self-regulated learning: The educational legacy of Paul R. Pintrich. Educational psychologist, 40(2), 85-94. doi: https://doi.org/10.1207/s15326985ep4002_3

Short, E. J., y Weissberg-Benchell, J. A. (1989). The triple alliance for learning: Cognition, metacognition, and motivation. In Cognitive strategy research, (pp. 33-63). Springer, New York, NY. doi: https://doi.org/10.1007/978-1-4613-8838-8_2

Sperling, R.; Howard, B.; Staley, R. y DuBois, N. (2004). Metacognition and self-regulated learning constructs. Educational Research and Evaluation, 10 (2), 117-139. doi: https://doi.org/1380-3611/04/1002-117

Spiess, M. A., Meier, B., y Roebers, C. M. (2016). Development and longitudinal relationships between children’s executive functions, prospective memory, and metacognition. Cognitive development, 38, 99-113. doi: https://doi.org/10.1016/j.cogdev.2016.02.003

Suárez, J., y Fernández, A. (2011). A model of how motivational strategies related to the expectative component affect cognitive and metacognitive strategies. Electronic Journal of Research in Educational Psychology, 9(2), 641-658. Recuperado de: http://www.investigacion-psicopedagogica.org/revista/articulos/24/english/Art_24_550.pdf

Sungur, S. (2007). Contribution of motivational beliefs and metacognition to students' performance under consequential and nonconsequential test conditions. Educational Research and Evaluation, 13(2), 127-142. doi: https://doi.org/10.1080/13803610701234898

Sungur, S. (2007a). Modeling the relationships among students' motivational beliefs, metacognitive strategy use, and effort regulation. Scandinavian Journal of Educational Research, 51(3), 315-326. doi: https://doi.org/10.1080/00313830701356166

Tapia, J. A., y Ferrer, J. S. (1992). El cuestionario MAPE-I: Motivación hacia el aprendizaje. En Motivar en la adolescencia: Teoría, evaluación e intervención (pp. 53-91). Madrid, España: Ediciones de la Universidad Autónoma de Madrid.

Publicado
01-01-2021
Cómo citar
Lara Nieto-Márquez, N., Garcia-Sinausia, S., & Pérez Nieto, M. Ángel. (2021). Relaciones de la motivación con la metacognición y el desempeño en el rendimiento cognitivo en estudiantes de educación primaria. Anales De Psicología / Annals of Psychology, 37(1), 51-60. https://doi.org/10.6018/analesps.383941
Número
Sección
Psicología evolutiva y de la educación