Students With and Without Math Failure: Analysis of the Cognitive and Affective Variables Involved
DOI:
https://doi.org/10.35763/aiem26.5271Keywords:
Self-regulation of learning, Self-efficacy, Perceived competence, Achievement expectations, Mathematics achievementAbstract
Although mathematics is crucial in educational training, performance is low in Latin American students, which makes it relevant to analyze the factors that influence success-failure in the discipline. This study analyzes the functional effects of mathematics anxiety, learning self-regulation, self-efficacy, perceived competence, and achievement expectations in mathematics among students with and without a history of failure in the subject, with the aim of identifying the predictive effects of these variables on the experience of success or failure. A cross-sectional predictive design was used to assess 577 Colombian high school students using comparative, relational, and binary logistic regression analysis. Failure in mathematics was predicted by inadequate regulation habits, low perceived competence, and low achievement expectations. The results support the importance of teaching mathematics with strategies that promote self-regulation of learning and positive emotions that seek to generate favorable cognitions that lead to students’ confidence in their mathematical abilities.
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Aragón, E., Delgado, C., & Marchena, E. (2017). Diferencias de aprendizaje matemá-tico entre los métodos de enseñanza CBC. Psychology, Society & Education, 9(1), 61-70. https://doi.org/gh45
Ato, J., López, M., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de psicología, 29(3), 1038-1059. https://doi.org/chxj
Ávila-Toscano, J., Rojas-Sandoval, Y., & Tovar-Ortega, T. (2020). Perfil del domi-nio afectivo en futuros maestros de matemáticas. Revista de Psicología y Educa-ción, 15(2), 225-236. https://doi.org/ktcd
Bandura, A. (2012). On the functional properties of perceived self-efficacy revisited. Journal of Management, 38(1), 9-44. https://doi.org/dtx4jh
Barroso, C., Ganley, C., McGraw, A., Geer, E., Hart, S., & Daucourt, M. (2021). A me-ta-analysis of the relation between math anxiety and math achieve-ment. Psychological Bulletin, 147(2), 134-168. https://doi.org/gm5s9z
Bergkvist, L. (2015). Appropriate use of single-item measures is here to stay. Mar-keting Letters, 26(3), 245-255. https://doi.org/dfgq
Caycho-Rodríguez, T., Rojas-Jara, C., Ventura-León, J., Noe-Grijalva, M., Cabrera-Orosco, I., & Reyes-Bossio, M. (2021). Ítem único para valorar la preocupación por el cáncer: evidencias iniciales de validez y confiabilidad. Enfermería Clíni-ca, 31(4), 203-210. https://doi.org/ktcg
Cho, M-H., & Heron, M. (2015). Self-regulated learning: the role of motivation, emotion, and use of learning strategies in students’ learning experiences in a self-paced online mathematics course. Distance Education, 36(1), 80-99. https://doi.org/gfj8nz
Cleary, T., & Zimmerman, B. (2012). A cyclical self-regulatory account of student engagement: Theoretical foundations and applications. In S. Christenson, A. Reschly & C. Wylie (Eds.), Handbook of research on student engagement (pp. 237-257). Springer + Business Media. https://doi.org/ktcj
Dowker, A., Sarkar, A., & Looi, C. (2016). Mathematics Anxiety: What have we learned in 60 years? Frontiers in Psychology, 7. https://doi.org/gkdf87
Dündar, S., Güvendir, M., Kocabiyik, O., & Papatga, E. (2014). Which elementary school subjects are the most likeable, most important, and the easiest? Why?: A study of science and technology, mathematics, social studies, and Turkish. Educational Research and Reviews, 9(13). https://doi.org/ktck
Else-Quest, N., Hyde, J., & Linn, M. (20210). Cross-national patterns of gender dif-ferences in mathematics: A meta-analysis. Psychological Bulletin, 136(1), 103-127. https://doi.org/10.1037/a0018053
Fernández-Cézar, R., Solano-Pinto, N., & Garrido, D. (2021). Can mathematics achievement be predicted? The Role of cognitive–behavioral–emotional vari-ables. Mathematics, 9(14), 1591. https://doi.org/ktcm
Gabriel, F., Buckley, S., & Barthakur, A. (2020). The impact of mathematics anxiety on self-regulated learning and mathematical literacy. Australian Journal of Ed-ucation, 64(3), 227-242. https://doi.org/gqx237
González, C., Caso, J., Díaz, K., & López, M. (2012). Rendimiento académico y facto-res asociados. Aportaciones de algunas evaluaciones a gran escala. Bordón, 64(2), 51-68. https://cutt.ly/eBe0M4k
Hederich-Martínez, C., & Caballero-Domínguez, C. (2016). Validación del cuestio-nario Maslach Burnout Inventory-Student Survey (MBI-SS) en contexto aca-démico colombiano. CES Psicología, 9(1), 1-15. http://www.scielo.org.co/scielo.php?pid=S2011-30802016000100002&script=sci_abstract&tlng=es
Hernández, A., & Camargo, A. (2017). Adaptación y validación del Inventario de Es-trategias de Autorregulación en estudiantes universitarios. Suma Psicológica, 24, 9-16. https://doi.org/ktcq
Hernández, M., Eisenberg, N., Valiente, C., Spinrad, T., Johns, S., Berger, R., Silva, K., Diaz, A., Gal-Szabo, D., Thompson, M., & Southworth, J. (2018). Self-regulation and academic measures across the early elementary school grades: Examining longitudinal and bidirectional associations. Early Education and Development, 29(7), 914-938. https://doi.org/gmhj2r
Hernández-Nieto, R. (2002). Contributions to Statistical Analysis: The coefficients of proportional variance, content validity and Kappa. Universidad de Los Andes.
Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on aca-demic performance: A systematic review. Educational Research Review, 17, 63-84. https://doi.org/gd6ft9
Hopko, D., Mahadevan, R., Bare, R., & Hunt, M. (2003). The Abbreviated Math Anxi-ety Scale (AMAS): construction, validity, and reliability. Assessment, 10(2), 178-182. https://doi.org/cpf96t
IBM Corp. (2015). IBM SPSS Statistics for Windows, Version 23.0. IBM Corp.
Ingram, N., Hatisaru, V., Grootenboer, P., & Beswick, K. (2020). Researching the affective domain in mathematics education. En J. Way., C. Attard., J. Ander-son., J. Bobis., H. McMaster., & K. Cartwright (Eds.), Research in Mathematics Education in Australasia 2016–2019 (pp. 147-176). Springer. https://doi.org/ktcr
Johnson, E., Clohessy, A., & Chakravarthy, P. (2020). A self-regulated learner framework for students with learning disabilities and math anxiety. Interven-tion in School and Clinic, 56(3), 163-171. https://doi.org/gjk822
Kamakura, W. A. (2015). Measure twice and cut once: The carpenter’s rule still ap-plies. Marketing Letters: A Journal of Research in Marketing, 26(3), 237-243. https://doi.org/10.1007/s11002-014-9298-x
Klassen, R., & Usher, E. (2010). Self-efficacy in educational settings: Recent re-search and emerging directions. In T. Urdan & S. Karabenick (Ed.), The Decade Ahead: Theoretical Perspectives on Motivation and Achievement (Advances in Mo-tivation and Achievement, 16 Part A) (pp. 1-33). Emerald Group Publishing Lim-ited. https://doi.org/cnwgdx
Lai, Y., Zhu, X., Chen, Y., & Li, Y. (2015). Effects of mathematics anxiety and math-ematical metacognition on word problem solving in children with and without mathematical learning difficulties. PLoS One, 10(6), e0130570. https://doi.org/gh45jw
Luttenberger, S., Wimmer, S., & Paechter, M. (2019). Spotlight on math anxiety. Psychology Research and Behavior Management, 11, 311-322. https://doi.org/gd4jcm
McIntee, S., Goulet-Pelletier, J., Williot, A., Deck-Léger, E., Lalande, D., Cantinotti, M., & Cousineau, D. (2022). (Mal)adaptive cognitions as predictors of statis-tics anxiety. Statistics Education Research Journal, 21(1), 1-18. https://doi.org/ktcs
McKinnon, R., & Blair, C. (2019). Bidirectional relations among executive function, teacher–child relationships, and early reading and math achievement: A cross-lagged panel analysis. Early Childhood Research Quarterly, 46, 152-165. https://doi.org/fmx4
Ministerio de Educación Nacional de Colombia [MEN] (2006). Estándares Básicos de Competencias en Lenguaje, Matemáticas, Ciencias y Ciudadanas. Autor.
Morsanyi, K., Ní Cheallaigh, N., & Ackerman, R. (2019). Mathematics anxiety and metacognitive processes: Proposal for a new line of inquiry. Psychological Top-ics, 28(1), 147-169. https://doi.org/ktcv
Mutlu, Y. (2019). Math anxiety in students with and without math learning difficul-ties. International Electronic Journal of Elementary Education, 11(5), 471-475. https://doi.org/fjj2
Onwezen, M., Reinders, M., Verain, M., & Snoek, H. (2019). The development of a single-item Food Choice Questionnaire. Food Quality and Prefererence 71, 34-45. https://doi.org/gmv5j6
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO] (2019). Resultados de logros de aprendizaje y factores asociados del Es-tudio Regional Comparativo y Explicativo ERCE 2019. Autor. https://cutt.ly/cBqlf9e
Organization for Economic Cooperation and Development [OECD] (2013). PISA 2012 Results: Ready to Learn (Volume III): Students’ engagement, drive and self-beliefs. Autor. https://doi.org/gppqp2
Panadero, E. (2017). A review of self-regulated learning: Six models and four direc-tions for research. Frontiers in Psychology, 8, 422. https://doi.org/gf4n8k
Pedrosa, I., Suárez-Álvarez., J., & García-Cueto, E. (2013). Evidencias sobre la vali-dez de contenido: avances teóricos y métodos para su estimación Acción Psico-lógica, 10(2), 3-20. https://doi.org/cbtn
Peixoto, F., Sanches, C., Mata, L., & Monteiro, V. (2016). ”How do you feel about math?”: relationships between competence and value appraisals, achieve-ment emotions and academic achievement. European Journal of Psychology of Education, 32(3), 385-405. https://doi.org/gqkwpb
Prada, R., Suárez, C., Solano-Pinto, N., & Fernández-Cézar, R. (2023). Predictor variables of academic success in mathematics under a binary logistic regres-sion model. Journal of Positive Psychology and Wellbeing, 7(1), 551-575. https://n9.cl/10gw6
Prast, E., Van de Weijer-Bergsma, E., Miočević, M., Kroesbergen, E., & Van Luit, J. (2018). Relations between mathematics achievement and motivation in stu-dents of diverse achievement levels. Contemporary Educational Psychology, 55, 84-96. https://doi.org/ktcx
Ramirez, G., Shaw, S., & Maloney, E. (2018). Math anxiety: past research, promising interventions, and a new interpretation framework. Educational Psychologist, 53(3), 145-164. https://doi.org/dxjg
Rosário, P., Lourenço, A., Paiva, O., Núnez, J., González-Pienda, J., & Valle, A. (2012). Autoeficacia y utilidad percibida como condiciones necesarias para un aprendizaje académico autorregulado. Anales de Psicología, 28(1), 37-44. https://cutt.ly/cBuh058
Rosário, P., Lourenco, A., Paiva, O., Rodríguez, A., Valle, A., & Tuero-Herrero, E. (2012). Predicción del rendimiento en matemáticas: efecto de variables perso-nales, socioeducativas y del contexto escolar. Psicothema, 24(2), 289-295. https://cutt.ly/HVuaxLv
Rosário, P., Núñez, J., Valle, A., González-Pienda, J., & Lourenço, A. (2013). Grade level, study time, and grade retention and their effects on motivation, self-regulated learning strategies, and mathematics achievement: a structural equation model. European Journal of Psychology of Education, 28, 1311-1331. https://doi.org/fv85
Rosário, P., Pereira, A., Högemann, J., Nunes, A., Figueiredo, M., Núñez, J., Fuentes, S., & Gaeta, M. (2014). Autorregulación del aprendizaje: una revisión sistemá-tica en revistas de la base SciELO. Universitas Psychologica, 13(2), 781-798. https://doi.org/ktcz
Ten Braak, D., Størksen, I., Idsoe, T., & McClelland, M. (2019). Bidirectionality in self-regulation and academic skills in play-based early childhood education. Journal of Applied Developmental Psychology, 65, 101064. https://doi.org/ggdnrd
Wanous, J., & Hudy, M. (2001). Single-Item reliability: A replication and extension. Organizational Research Methods, 4(4), 361-375. https://doi.org/fqxg5v
Wanous, J., Reichers A., & Hudy, M. (1997). Overall job satisfaction: How good are single-item measures? Journal of Applied Psychology, 82(2), 247-252. https://doi.org/fgjq9z
Zakariya, Y., Barattucci, M., Fernández-Cézar, R., & Solano-Pinto, N. (2022). Anal-ysis of relations between attitude towards mathematics, prior knowledge, self-efficacy, expected and actual grades in mathematics. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy.
Zimmerman, B. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press.
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