Involvement of executive functions, emotional intelligence, and study habits in mathematical problem-solving and calculation in elementary school

  1. Katya Martin-Requejo 1
  2. Alejandro González-Andrade 1
  3. Aitor Álvarez-Bardón 1
  4. Sandra Santiago-Ramajo 1
  1. 1 Universidad International de La Rioja
Revue:
Revista de psicodidáctica

ISSN: 1136-1034

Année de publication: 2023

Volumen: 28

Número: 2

Pages: 145-152

Type: Article

DOI: 10.1016/J.PSICOE.2023.07.002 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: Revista de psicodidáctica

Objectifs de Développement Durable

Résumé

Dado que matemáticas es la asignatura más difícil para el alumnado desde edades tempranas, es necesario comprender los procesos subyacentes. Así, con el presente estudio se ha pretendido analizar la relación entre las habilidades de cálculo y resolución de problemas matemáticos (RPM) con las funciones ejecutivas (FE), la inteligencia emocional (IE) y los hábitos y técnicas de estudio (HTE) en estudiantes de 9-12 años. El estudio se ha llevado a cabo con 70 estudiantes (40 niñas) de cinco escuelas de la Comunidad Autónoma del País Vasco de España. Los resultados han mostrado que la RPM se relaciona significativamente con las FE, la IE y los HTE, mientras que el cálculo sólo ha correlacionado con las FE y los HTE, todo ello controlando el efecto del CI. Además, la RPM ha correlacionado con un mayor número de subescalas de las EF, la EI y los HTE que el cálculo. Junto a ello, se han observado diferencias significativas en las EF y la EI en función del nivel de rendimiento en RPM, mientras que en cálculo se han encontrado diferencias significativas en las EF y los HTE. Por tanto, diferentes procesos neuropsicológicos subyacen a cada habilidad matemática, lo que implica la necesidad de una intervención diferencial con cada una de ellas. Todo ello a través de programas que fomenten el aprendizaje matemático de todo el alumnado indistintamente o que promuevan el desarrollo de las habilidades matemáticas en función de la dificultad específica del estudiante.

Références bibliographiques

  • Agnoli, S., Mancini, G., Pozzoli, T., Baldaro, B., Russo, P. M., y Surcinelli, P. (2012). The interaction between emotional intelligence and cognitive ability in predicting scholastic performance in school-aged children. Personality and Individual Differences, 53(5), 660–665. https://doi.org/10.1016/j.paid.2012.05.020
  • Álvarez, M., y Fernández, R. (2015). Cuestionario de hábitos y técnicas de estudio. TEA Ediciones.
  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders -5th edition. Editorial Médica Panamericana.
  • Bar-On, R., y Parker, J. D. A. (2018). Inventario de inteligencia emocional de BarOn: versión para jóvenes (7-18 años). TEA Ediciones.
  • Basque Institute of Statistics [EUSTAT]. (2016). Información estadística clasificada. Administración de la Comunidad Autónoma del País Vasco. https://www.eustat.eus/indice.html.
  • Billings, C. E., Downey, L. A., Lomas, J. E., Lloyd, J., y Stough, C. (2014). Emotional intelligence and scholastic achievement in pre-adolescent children. Personality and Individual Differences, 65, 14–18. https://doi.org/10.1016/j.paid.2014.01.017
  • Brock, L. L., y Curby, T. W. (2016). The role of children’s adaptability in classrooms characterized by low or high teacher emotional support consistency. School Psychology Review, 45(2), 209–225. https://doi.org/10.17105/SPR45-2.209-225
  • Capdevila Seder, A., y Bellmunt Villalonga, H. (2016). Importancia de los hábitos de estudio en el rendimiento académico del adolescente: Diferencias por género. Educatio Siglo XXI, 34(1 Marzo), 157. https://doi.org/10.6018/j/253261
  • Cárdenas, M., y Arancibia, H. (2014). Potencia estadística y cálculo del tamaño del efecto en G * Power: Complementos a las pruebas de significación estadística y su aplicación en psicología. Salud y Sociedad, 5(2), 210–224. https://doi.org/10.22199/S07187475.2014.0002.00006
  • Cordero-Pando, A., y Calonge-Romano, I. (2011). Test breve de inteligencia de Kaufman (K-BIT). Pearson Educación.
  • Costa, A., y Faria, L. (2015). The impact of emotional intelligence on academic achievement: A longitudinal study in portuguese secondary school. Learning and Individual Differences, 37, 38–47. https://doi.org/10.1016/j.lindif.2014.11.011
  • Cragg, L., y Gilmore, C. (2014). Skills underlying mathematics: The role of executive function in the development of mathematics proficiency. Trends in Neuroscience and Education, 3(2), 63–68. https://doi.org/10.1016/j.tine.2013.12.001
  • Das, R., y Das, G. C. (2013). Math anxiety: The poor problem solving factor in school mathematics. International Journal of Scientific and Research Publications, 3(4), 1–5.
  • Filippetti, V., y Richaud, M. C. (2017). A structural equation modeling of executive functions, IQ and mathematical skills in primary students: Differential effects on number production, mental calculus and arithmetical problems. Child Neu-ropsychology, 23(7), 864–888. https://doi.org/10.1080/09297049.2016.1199665
  • Forsblom, L., Pekrun, R., Loderer, K., y Peixoto, F. (2022). Cognitive appraisals, achievement emotions, and students’ math achievement: A longitudinal analysis. Journal of Educational Psychology, 114(2), 346–367. https://doi.org/10.1037/edu0000671
  • Fuchs, L. S., Fuchs, D., Stuebing, K., Fletcher, J. M., Hamlett, C. L., y Lambert, W. (2008). Problem solving and computational skill: Are they shared or distinct aspects of mathematical cognition? Journal of Educational Psychology, 100(1), 30–47. https://doi.org/10.1037/0022-0663.100.1.30
  • Fuchs, L. S., Gilbert, J. K., Fuchs, D., Seethaler, P. M., y Martin, N. (2018). Text comprehension and oral language as predictors of word-problem solving: Insights into word-problem solving as a form of text comprehension. Scientific Studies of Reading, 22(2), 152–166. https://doi.org/10.1080/10888438.2017.1398259
  • Fuhs, M. W., Hornburg, C. B., y McNeil, N. M. (2016). Specific early number skills mediate the association between executive functioning skills and mathematics achievement. Developmental Psychology, 52(8), 1217–1235. https://doi.org/10.1037/dev0000145
  • García, M. I. B., Tello, F. P. H., Abad, E. V., y Moscoso, S. C. (2007). Actitudes, hábitos de estudio y rendimiento en matemáticas: Diferencias por género. Psicothema, 19(3), 413–421.
  • Gastañaduy, C. C., Avila, N. C., Minchola, S. A., Mendoza, C., Salazar, T. M., Palacios, L. V., y Rivas, D. V. (2021). A method based on neuroscience for teaching mathematics in a primary school. Psychology and Education, 58(5), 1646–1652.
  • Gudaganavar, N. V., y Halayannavar, R. B. (2014). Influence of study habits on academic performance of higher primary school students. International Journal of Science and Research, 3(2), 277–280.
  • Hanin, V., y Van Nieuwenhoven, C. (2016). The influence of motivational and emotional factors in mathematical learning in secondary education. Revue Europeenne de Psychologie Appliquee, 66(3), 127–138. https://doi.org/10.1016/j.erap.2016.04.006
  • Hansenne, M., y Legrand, J. (2012). Creativity, emotional intelligence, and school performance in children. International Journal of Educational Research, 53(January), 264–268. https://doi.org/10.1016/j.ijer.2012.03.015
  • Herrera, L., Al-Lal, M., y Mohamed, L. (2020). Academic achievement, self-concept, personality and emotional intelligence in primary education. Analysis by gender and cultural group. Frontiers in Psychology, 10(January), 1–13. https://doi.org/10.3389/fpsyg.2019.03075
  • Hsieh, M. (2023). The relationships between home-based parental involvement study habits and academic achievement among adolescents. The Journal of Early Adolescence, 43(2), 194–215. https://doi.org/10.1177/02724316221101527
  • IBM, C. (2017). IBM SPSS statistics for windows, Version 25.0. IBM Corp.
  • Jacob, R., y Parkinson, J. (2015). The potential for school-based interventions that target executive function to improve academic achievement. Review of Educational Research, 85(4), 512–552. https://doi.org/10.3102/0034654314561338
  • Justicia-Galiano, M. J., Pelegrina, S., Lechuga, M. T., Gutiérrez-Palma, N., Martín-Puga, E. M., y Lendínez, C. (2015). Math anxiety and its relationship to inhibitory abilities and perceived emotional intelligence. Anales de Psicología, 32(1), 125–131. https://doi.org/10.6018/analesps.32.1.194891
  • Kanesan, P., y Fauzan, N. (2019). Models of emotional intelligence. E-Bangi, 16, 1–9.
  • Kaufmann, L., Wood, G., Rubinsten, O., y Henik, A. (2011). Meta-analyses of developmental fMRI studies investigating typical and atypical trajectories of number processing and calculation. Developmental Neuropsychology, 36(6), 763–787. https://doi.org/10.1080/87565641.2010.549884
  • Kotsopoulos, D., y Lee, J. (2012). A naturalistic study of executive function and mathematical problem-solving. Journal of Mathematical Behavior, 31(2), 196–208. https://doi.org/10.1016/j.jmathb.2011.12.005
  • Lehman, E. B., Naglieri, J. A., y Aquilino, S. A. (2010). A national study on the development of visual attention using the cognitive assessment system. Journal of Attention Disorders., 14(1), 15–24. https://doi.org/10.1177/1087054709332473
  • Medrano, J., y Prather, R. W. (2023). Rethinking executive functions in mathematical cognition. Journal of Cognition and Development, 24(2), 280–295. https://doi.org/10.1080/15248372.2023.2172414
  • Menon, V. (2016). Memory and cognitive control circuits in mathematical cognition and learning. Progress in Brain Research, 227, 159–186. https://doi.org/10.1016/bs.pbr.2016.04.026
  • Mulder, H., Verhagen, J., Van der Ven, S., Slot, P. L., y Leseman, P. (2017). Early executive function at age two predicts emergent mathematics and literacy at age five. Frontiers in Psychology, 8(1706), 1–14. https://doi.org/10.3389/fpsyg.2017.01706
  • Muhtadi, A., Kaliky, S., Hukom, J., y Samal, D. (2022). A meta-analysis: Emotional intelligence and its effect on mathematics achievement. International Journal of Instruction, 15(4), 745–762. https://doi.org/10.29333/iji.2022.15440a
  • Odiri, O. E. (2015). Relationship of study habits with mathematics achievement. Journal of Education and Practice, 6(10), 168–170
  • Partanen, P., Jansson, B., y Sundin, Ö. (2020). Fluid reasoning, working memory and planning ability in assessment of risk for mathematical difficulties. Educational Psychology in Practice, 36(3), 229–240. https://doi.org/10.1080/02667363.2020.1736518
  • Peng, P., Namkung, J., Barnes, M., y Sun, C. (2016). A meta-analysis of mathematics and working memory: Moderating effects of working memory domain, type of mathematics skill, and sample characteristics. Journal of Educational Psychology, 108(4), 455–473. https://doi.org/10.1037/edu0000079
  • Portellano, J. A., Martínez-Arias, R., y Zumárraga, L. (2011). Evaluación neuropsicológica de las funciones ejecutivas en ni˜nos. TEA Ediciones.
  • Qin, S., Cho, S., Chen, T., Rosenberg-lee, M., Geary, D. C., y Menon, V. (2014). Hippocampal-neocortical functional reorganization underlies children’s cognitive development. Nature Neuroscience, 17(9), 1263–1269. https://doi.org/10.1038/nn.3788
  • Quílez-Robres, A., González-Andrade, A., Ortega, Z., y Santiago-Ramajo, S. (2021). Intelligence quotient, short-term memory and study habits as academic achievement predictors of elementary school: A follow-up study. Studies in Educational Evaluation, 70(101020), 1–9. https://doi.org/10.1016/j.stueduc.2021.101020
  • Rabia, M., Mubarak, N., Tallat, H., y Nasir, W. (2017). A study on study habits and academic performance of students. International Journal of Asian Social Science, 7(10), 891–897. https://doi.org/10.18488/journal.1.2017.710.891.897
  • Ramírez-Benítez, Y., Torres-Diaz, R., y Amor-Diaz, V. (2016). Contribución única de la inteligencia fluida y cristalizada en el rendimiento académico. Revista Chilena de Neuropsicologia, 11(2), 1–5. https://doi.org/10.5839/rcnp.2016.11.02.01
  • Ramirez, G., Chang, H., Maloney, E. A., Levine, S. C., y Beilock, S. L. (2016). On the relationship between math anxiety and math achievement in early elementary school: The role of problem solving strategies. Journal of Experimental Child Psychology, 141, 83–100. https://doi.org/10.1016/j.jecp.2015.07.014
  • Ribner, A. D., Willoughby, M. T., Blair, C. B., & Family Life Project Key Investigators. (2017). Executive function buffers the association between early math and later academic skills. Frontiers in Psychology, 8(869), 1–12. https://doi.org/10.3389/fpsyg.2017.00869
  • Rodríguez, C., Jiménez, J. E., de León, S. C., y Marco, I. (2021). Multimedia battery for assessment of cognitive and basic skills in mathematics (BM-PROMA). Journal of Visualized Experiments, 2021(174), 0–29. https://doi.org/10.3791/62288
  • Salovey, P., y Mayer, J. D. (1990). Emotional intelligent. Imagination, Cognition and Personality, 9(3), 185–291.
  • Song, S., y Su, M. (2022). The intelligence quotient-math achievement link: Evidence from behavioural and biological research. Current Opinion in Behavioral Sciences, 46, 101160. https://doi.org/10.1016/j.cobeha.2022.101160
  • Sotelo-Martín, J. A., Barrientos-Fernández, A., y Arigita-García, A. (2019). Fundamentos neuropsicológicos de la inteligencia emocional: El sistema límbico como motor biológico de las emociones. Creatividad y Sociedad, 29, 251–275.
  • The Jamovi Project (2022). jamovi (Version 2.3.26) [Computer Software]. Retrieved from https://www.jamovi.org.
  • Tok, S. (2013). Effects of the know-want-learn strategy on students’ mathematics achievement, anxiety and metacognitive skills. Metacognition and Learning, 8(2), 193–212.
  • Toll, S. W. M., van der Ven, S. H. G., Kroesbergen, E. H., y van Luit, J. E. H. (2011). Executive functions as predictors of math learning disabilities. Journal of Learning Disabilities, 44(6), 521–532. https://doi.org/10.1177/0022219410387302
  • Venet, R., y Carbo, I. (2017). Las técnicas de estudio. Reflexiones e instrucciones metodológicas para su aprendizaje y uso pertinentes en el contexto universitario. Revista Maestro y Sociedad, 14(3), 502–516.
  • Yuste, C., y Yuste, D. (2011). Batería de actividades mentales diferenciales y generales, nivel E2, renovado. Editorial CEPE.
  • Yuste, C., Yuste, D., Martínez, R., y Galve, J. L. (2019). Batería de actividades mentales diferenciales y generales, nivel E3, renovado. Editorial CEPE