Factores personales del alumnado que predicen el rendimiento en matemáticas en Educación Primaria en Estados Unidos
DOI :
https://doi.org/10.30827/profesorado.v27i3.27869Mots-clés :
Rendimiento académico, Ansiedad matemática, Autoeficacia, Educación Primaria, Actitud del alumnado, Actitud del profesoradoRésumé
El objetivo de este artículo es predecir la influencia de los factores personales del alumnado sobre el rendimiento en matemáticas en Educación Primaria. Se trata de un estudio ex-post-facto que utiliza la base de datos del estudio TIMSS 2019 en Estados Unidos. La muestra está formada por 8601 estudiantes estadounidenses de 4º de Educación Primaria (50,45% niños; 49,54% niñas). Se realizaron un Análisis Factorial Exploratorio (AFE) y un Análisis Factorial Confirmatorio (AFC) de los 24 ítems del cuestionario del alumnado sobre el proceso de enseñanza y aprendizaje de las matemáticas (KMO= .952). Se identificaron cuatro factores: actitud, ansiedad, autoeficacia del alumnado y actitud del profesorado. Se utilizó un análisis de regresión múltiple para predecir la influencia de los factores de los estudiantes en el rendimiento matemático. Los resultados muestran que la autoeficacia es el factor que más contribuye al rendimiento y en el que se encuentran más diferencias de género, seguido de la ansiedad matemática, a favor de los chicos, que explica la brecha de género en Estados Unidos. La actitud del profesor, el segundo factor que más contribuye al rendimiento, refuerza tanto la actitud del alumnado como su autoeficacia. El número de libros en casa tiene un gran efecto sobre el rendimiento del alumnado. Los resultados sugieren la necesidad de plantear la enseñanza de las matemáticas desde un enfoque más práctico y dotar de más recursos a las escuelas en contextos desfavorecidos.
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Références
Ayuso, N., Fillola, E., Masiá, B., Murillo, A., Trillo-Lado, R., Baldassarri, S., Cerezo, E., Ruberte, L., Mariscal, M.D., & Villaroya-Gaudó, M. (2021). Gender gap in STEM: A cross-sectional study of primary school students’ self-perception and test anxiety in mathematics. IEEE Transactions on Education, 64(1), 40-49. https://doi.org/10.1109/TE.2020.3004075.
Baier, F., Decker, A.T., Voss, T., Kleickmann, T., Klusmann, U., & Kunter, M. (2019). What makes a good teacher? The relative importance of mathematics teachers' cognitive ability, personality, knowledge, beliefs, and motivation for instructional quality. British Journal of Educational Psychology, 89(4), 767-786. https://doi.org/10.1111/bjep.12256
Bandura, A. (1997). Self-efficacy in changing societies. Cambridge University Press.
Bieg, M., Goetz, T., Wolter, I., & Hall, N. C. (2015). Gender stereotype endorsement differentially predicts girls’ and boys’ trait-state discrepancy in math anxiety. Frontiers in Psychology, 6(1404), 1-8. https://doi.org/10.3389/fpsyg.2015.01404
Blazar, D., & Kraft, M.A. (2017). Techer and teaching effect on students´ attitudes and behaviors. Educational Evaluation and Policy Analysis, 39(1), 146-170. https://doi.org/10.3102/0162373716670260
Blömeke, S., & Vegar, R. (2019). Consistency of results regarding teacher effects across subjects, school levels, outcomes and countries. Teaching and Teacher Education, 77, 170-182. https://doi.org/10.1016/j.tate.2018.09.018
Breda, T., & Napp, C. (2019). Girls' comparative advantage in reading can largely explain the gender gap in math-related fields. Proceedings of the National Academy of Sciences of the United States of America, 116(31), 15435-15440. https://doi.org/10.1073/pnas.1905779116
Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143, 1–35. https://psycnet.apa.org/doi/10.1037/bul0000052
Chmielewski, A.K. (2019). The global increase in the socioeconomic achievement gap, 1964 to 2015. American Sociological Review, 84(3), 517-544. https://doi.org/10.1177/0003122419847165
Cleary, T.J., & Kitsantas, A. (2017). Motivation and self-regulated learning influences on middle school mathematics achievement. School Psychology Review, 46(1), 88-107. https://doi.org/10.17105/SPR46-1.88-107
Coleman, J. S., Campbell, E. Q., Hobson, C. J., McPartland, J., Mood, A. M., Weinfeld, F. D., & York, R. L. (1966). Equality of Educational Opportunity. Government Printing Office.
Contini, D., Di Tommaso, M. L., & Mendolia, S. (2016). The gender gap in mathematics achievement: Evidence from Italian data. Economics of Education Review, 58, 32-42. https://doi.org/10.1016/j.econedurev.2017.03.001.
Dietrichson, J., Bøg, M., Filges, T., & Klint, A.M. (2017). Academic interventions for elementary and middle school students with low socioeconomic status: A systematic review and meta-analysis. Review of Educational Research, 87(2), 243-282. https://doi.org/10.3102%2F0034654316687036
Dowker, A., Sarkar, A., & Looi, C.Y. (2016). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 7(508), 1-16. https://doi.org/ 10.3389/fpsyg.2016.00508
Du, C., Qin, K., Wang, Y., & Xin, T. (2021). Mathematics interest, anxiety, self-efficacy and achievement: examining reciprocal relations. Learning and Individual Differences, 91(102060), 1-8. https://doi.org/10.1016/j.lindif.2021.102060
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: a meta-analysis. Psychological Bulletin, 136(1), 103–127. https://doi.org/10.1037/a0018053
Else-Quest, N. M., Mineo, C. C., & Higgins, A. (2013). Math and science attitudes and achievement at the intersection of gender and ethnicity. Psychology of Women Quarterly, 37(3), 293–309. https://doi.org/10.1177/0361684313480694
Engzell, P. (2021). What do books in the home proxy for? A cautionary tale. Sociological Methods & Research, 50(4), 1487-1514. https://doi.org/10.1177%2F0049124119826143
Ganley, C. M., & Lubienski, S. T. (2016). Mathematics confidence, interest, and performance: examining gender patterns and reciprocal relations. Learning and Individual Differences, 47, 182-193. https://doi.org/10.1016/j.lindif.2016.01.002
Geary, D.C., Hoard, M.K., Nugent, L. & Scofield, J.E. (2021). In-class attention, spatial ability, and mathematics anxiety predict across-grade gains in adolescents' mathematics achievement. Journal of Educational Psychology, 113(4), 754-769. https://doi.org/10.1037/edu0000487
Goetz, T., Bieg, M., Lüdtke, O., Pekrun, R., & Hall, N. C. (2013). Do girls really experience more anxiety in mathematics? Psychological Science, 24(10), 2079-2287. https://doi.org/10.1177/0956797613486989
Grigg, S., Perera, H.N., McIlveen, P., & Svetleff, Z. (2018). Relations among math self-efficacy, interest, intentions, and achievement: A social cognitive perspective. Contemporary Educational Psychology, 53, 73-86. https://doi.org/10.1016/j.cedpsych.2018.01.007
Guo, J., Parker, P. D., Marsh, H. W., & Morin, A. J. S. (2015). Achievement, motivation, and educational choices: A longitudinal study of expectancy and value using a multiplicative perspective. Developmental Psychology, 51(8), 1163-1176. https://doi.org/10.1037/a0039440
Jiang, Y., Song, J., Lee, M., & Bong, M. (2014). Self-efficacy and achievement goals as motivational links between perceived contexts and achievement. Educational Psychology: An International Journal of Experimental Educational Psychology, 34(1), 92-117. https://doi.org/10.1080/01443410.2013.863831
Lazarides, R. & Buchholz, J. (2019). Student-perceived teaching quality: How is it related to different achievement emotions in mathematics classroom? Learning & Instruction, 61, 45-59. https://doi.org/10.1016/j.learninstruc.2019.01.001
Lee, W., Lee, M.J., & Bong, M. (2014). Testing interest and self-efficacy as predictors of academic self-regulation and achievement. Contemporary Educational Psychology, 39(2), 86-99. https://doi.org/10.1016/j.cedpsych.2014.02.002
Li, Q., Cho, H., Cosso, J., & Maeda, Y. (2021). Relations between students’ mathematics anxiety and motivation to learn mathematics: A meta-analysis. Educational Psychology Review, 33, 1017-1049. https://doi.org/10.1007/s10648-020-09589-z
Mammarella, I.C., Caviola, S., & Dowker, A. (2019). Mathematics anxiety: What is known, and what is still missing. Routledge.
Mejía-Rodríguez, A.M., Luyteb, H., & Meelisen, M. (2021). Gender differences in mathematics self-concept across the world: an exploration of student and parent data of TIMSS 2015. International Journal of Science and Mathematics Education, 19, 1229-1250. https://doi.org/10.1007/s10763-020-10100-
Paechter M, Macher D, Martskvishvili K, Wimmer S., & Papousek, I. (2017). Mathematics anxiety and statistics anxiety. Shared but also unshared components and antagonistic contributions to performance in statistics. Frontiers in Psychology, 8(1196). https://doi.org/10.3389/fpsyg.2017.01196
Pitsia, V., Biggart, A., & Karakolidis, A. (2017). The role of student´s self-beliefs, motivation and attitudes in predicting mathematics achievement: A multilevel analysis of the Programme for International Student Assessment data. Learning and Individual Differences, (55), 163-173. https://doi.org/10.1016/j.lindif.2017.03.014
Prast, E.J., Van de Weijer-Bergsma, E., Miocevis, M., Kroesbergen, E.H., & Van Luoit, J. (2018). Relations between mathematics achievement and motivation in students of diverse achievement levels. Contemporary Educational Psychology, (55), 84-96. https://doi.org/10.1016/j.cedpsych.2018.08.002
Ramírez, G. (2017). Motivated forgetting in early mathematics: A proof-of-concept study. Frontiers in Psychology, 8(2087), 1-11. https://doi.org/10.3389/fpsyg.2017.02087
Recber, S., Isiskal, M., & Koç, Y. (2018). Investigating self-efficacy, anxiety, attitudes and mathematics achievement regarding gender and school type. Anales de Psicología, 34(1), 41-51. https://doi.org/10.6018/analesps.34.1.229571
Reilly, D., Neumann, D.L., & Andrews, G. (2019). Investigating gender differences in mathematics and science: Results from the 2011 Trends in Mathematics and Science Survey. Research in Science Education, (49), 25-50. https://doi.org/10.1007/s11165-017-9630-6
Ren, L. & Smith, W.M. (2018). Teacher characteristics and contextual factors: links to early primary teachers´ mathematical beliefs and attitudes. Journal of Mathematics Teacher Education, (21), 321-350. https://doi.org/10.1007/s10857-017-9365-3
Rodríguez, S., Regueiro, B., Piñeiro, I., Estévez, I., & Valle, A. (2020). Gender differences in mathematics motivation: differential effects on performance in primary education. Frontiers in Psychology, 10(3050), 1-8. https://doi.org/10.3389/fpsyg.2019.03050
Stoet, G., & Geary, D.C. (2018). The gender-equality paradox in Science, Technology, Engineering, and Mathematics education. Psychological Science, 29(4), 1-13. https://doi.org/10.1177/0956797617741719
Sutter-Brandenberger, C. C., Hagenauer, G., & Hascher, T. (2018). Students’ self-
determined motivation and negative emotions in mathematics in lower secondary
education—Investigating reciprocal relations. Contemporary Educational Psychology,
, 166–175. https://doi.org/10.1016/j.cedpsych.2018.10.002
TIMSS 2019 U.S. Highlights Web Report (2022). U.S. Department of Education. Institute of Education Sciences, National Center for Education Statistics. https://nces.ed.gov/timss/results19/index.asp
Toropova, A., Johansson, S., & Myrberg, E. (2019). The role of teacher characteristics for students achievement in mathematics and student perception of instructional quality. Education Inquiry, 10(4), 175.-299. https://doi.org/10.1080/20004508.2019.1591844
Tourón, J., Navarro-Asencio, E., Lizasoain, L., López-González, E., & García-San-Pedro, M.J. (2019). How teachers’ practices and students’ attitudes towards technology affect mathematics achievement: results and insights from PISA 2012. Research Papers in Education, 34(3), 263-275. https://doi.org/10.1080/02671522.2018.1424927
Vidic, T., & Duranovic, M. (2020). Students' attitudes towards mathematics and their perceptions of teacher support, enthusiasm, classroom management and their own behavior. Journal of Educational Sciences & Psychology, 10(2), 61-73.
Vukovic, R.K., Kieffer, M.J., Bailey, S.P., & Harari, R.R. (2013). Mathematics anxiety in young children: Concurrent and longitudinal association with mathematical performance. Contemporary Educational Psychology, 38(1), 1-10. https://doi.org/10.1016/j.cedpsych.2012.09.001
Yu, R.R., & Singh, K. (2018). Teacher support, instructional practices, student motivation, and mathematics achievement in high school. Journal of Educational Research, 111(1), 81-04. https://doi.org/10.1080/00220671.2016.1204260
