Poor academic performance in mathematics of upper basic students

https://doi.org/10.21744/ijpm.v5n1.1909

Authors

  • Francisca Lourdes Mendoza-Peñarrieta Maestría en Educación Básica, Universidad Laica “Eloy Alfaro de Manabí” Extensión Chone, Manabí, Ecuador
  • Monserrate Dalila del Roció Alcívar-Cedeño Universidad Laica “Eloy Alfaro de Manabí” Extensión Chone, Manabí, Ecuador

Keywords:

learning, mathematics, school performance, socioeconomic factors

Abstract

The research aims to study the deficiencies in the school performance in the level of learning in the students of the Upper Basic in the subject of mathematics in the Educational Unit. September 26 at the Casa Grande site in the Canuto parish, Chone canton. The application of surveys aimed at teachers and parents was used as an instrument to match criteria for the verification of situational variables that influence the teaching-learning process, in addition, the quantitative, documentary and inductive-deductive methods were used. The different assessments that determine unfavorable conditions for optimal academic development in ninth-year students in the subject of mathematics are presented. The objective was to determine what causes cause poor academic performance in students, the result was that the student's coexistence environment directly affects school performance, triggering deficiencies for poor academic performance.

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References

Adell Cueva, M.A. (2006). Strategies to improve the academic performance of adolescents . Madrid: Pyramid, 2006.

Aldana, K., de Roberti, R.P., & Miranda, A.R. (2010). Vision of student academic performance at the Universidad Centroccidental Lisandro Alvarado. Compendium , 13 (24), 5-21.

Barbosa, C. P., Gutiérre, R. M. L., & Rondón, A. K. P. (2008). Learning styles and academic performance in college students. Duazary , 5 (2), 99-1

Bernal, C. (2010). Research methodology 3rd Edition Retrieved: http://abacoenred. com/wp-content/uploads/2019/02. The-research-project% C3% B3n-FG-Arias-2012-pdf. ps .

Burbules, NC (2006). Education: risks and promises of new information technologies . Editions Granica SA.

C?prioar?, D. (2015). Problem solving-purpose and means of learning mathematics in school. Procedia-Social and Behavioral Sciences, 191, 1859-1864. https://doi.org/10.1016/j.sbspro.2015.04.332

Cragg, L., & 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

Crawford, K., Gordon, S., Nicholas, J., & Prosser, M. (1998). Qualitatively different experiences of learning mathematics at university. Learning and instruction, 8(5), 455-468. https://doi.org/10.1016/S0959-4752(98)00005-X

Darlington, E. (2017). Coping styles of new undergraduate mathematicians. Review of Science, Mathematics and ICT Education, 11(1), 5-17.

Garcia, M. (2012). Warm executive functions and academic performance doctoral thesis, Complutense University of Madrid.

Garcia, MIB, Tello, FPH, Vila, E., & Moscoso, SC (2007). Attitudes, study habits and performance in Mathematics: gender differences. Psychothema , 19 (3), 413-421.

Gumora, G., & Arsenio, W. F. (2002). Emotionality, emotion regulation, and school performance in middle school children. Journal of school psychology, 40(5), 395-413. https://doi.org/10.1016/S0022-4405(02)00108-5

Hernandez, M.J. (1994). Social competence: preventive intervention at school. Childhood and Society: Journal of Studies , (24), 21-48.

Hueso González, A., & Cascant i Sempere, M. (2012). Methodology and quantitative research techniques.

Hunt, J. (2007). The Dysfunctional Family, Making peace with the past. Hope for the heart , 7 (02), 1-14.

Irawan, I. P. E., Suharta, I. G. P., & Suparta, I. N. (2018). Contribution of prior knowledge, appreciation of mathematics and logical-mathematical intelligence to the ability of solving mathematical problems. International Journal of Physics & Mathematics, 1(1), 21-28. https://doi.org/10.31295/ijpm.v1n1.40

Istúriz, M. P., Mantecón, J. M. D., Blanco, I. P., & López, M. J. G. (2019). Causes of errors in solving linear equations with one unknown. NAP. Journal of Research in Didactics of Mathematics , 13 (2), 84-103.

Krajewski, K., & Schneider, W. (2009). Early development of quantity to number-word linkage as a precursor of mathematical school achievement and mathematical difficulties: Findings from a four-year longitudinal study. Learning and instruction, 19(6), 513-526. https://doi.org/10.1016/j.learninstruc.2008.10.002

Lamana-Selva, MT, & Peña, CDL (2018). Academic performance in mathematics. Relationship with creativity and coping styles. Mexican Journal of Educational Research , 23 (79), 1075-1092.

Martinez Migueles, M. (2004). Science and art in the qualitative methodology. First Edition, Mexico, Editorial Trillas, S. A de CV June .

Mella, O., & Ortiz, I. (1999). School performance. Differential influences of external and internal factors. Latin American Journal of Educational Studies (Mexico) , 29 (1), 69-92.

Meyer, R. H. (1997). Value-added indicators of school performance: A primer. Economics of education Review, 16(3), 283-301. https://doi.org/10.1016/S0272-7757(96)00081-7

O’Halloran, K. L. (2015). The language of learning mathematics: A multimodal perspective. The Journal of Mathematical Behavior, 40, 63-74. https://doi.org/10.1016/j.jmathb.2014.09.002

Pierce, R., Stacey, K., & Barkatsas, A. (2007). A scale for monitoring students’ attitudes to learning mathematics with technology. Computers & Education, 48(2), 285-300. https://doi.org/10.1016/j.compedu.2005.01.006

Quyen, N. V. (2021). The proposal for developing mathematics self-study capabilities in Vietnam highschool: A theoretical study. International Journal of Physics & Mathematics, 5(1), 8-14. https://doi.org/10.21744/ijpm.v4n1.1785

ROSERO GOMEZ, EDITH (2014). Child labor and its impact on the school performance of eighth and ninth grade students of basic education at the Abdón Calderón National School in the Calderón parish, Quito canton, Pichincha province (Bachelor's thesis).

Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy policy, 68, 183-194. https://doi.org/10.1016/j.enpol.2014.01.043

Tamayo, M. (2004). The process of scientific inquiry . Limousine Publisher.

Toledo Jofré, M. I. (2009). Relationship between bullying and climate in the classroom and its influence on student performance.

Valles, M. S. (2000). Qualitative techniques of social research (pp. 177-234). Madrid: Publishing Synthesis.

Van Ewijk, R., & Sleegers, P. (2010). The effect of peer socioeconomic status on student achievement: A meta-analysis. Educational research review, 5(2), 134-150. https://doi.org/10.1016/j.edurev.2010.02.001

Published

2022-07-05

How to Cite

Mendoza-Peñarrieta, F. L., & Alcívar-Cedeño, M. D. del R. (2022). Poor academic performance in mathematics of upper basic students. International Journal of Physics & Mathematics, 5(1), 21-27. https://doi.org/10.21744/ijpm.v5n1.1909