Home⇛Psychology and Education: A Multidisciplinary Journal⇛vol. 16 no. 3 (2023)

Academic Predictors of Learning Proficiency Across the Strands of Mathematics of Grade 8 Students Of Marikina High School, Schools Division Of Marikina City, School Year 2021 – 2022

Kathyrine Timbal | Melody Lopez | Vanessa Villanueva | Nescie Gonzales |  Ligaya Batarilan | Lanolie Grace Orias | Macy Ernestine Chua | Joan Alendajao | Juliet  Tandoy | Evelyn Figuracion

Discipline: Mathematics

 

Abstract:

During the twentieth century, the meaning of successful Mathematics learning underwent several shifts in response to changes in both society and schooling. For roughly the first half of the century, success in learning the mathematics of pre-kindergarten to eighth grade usually meant facility in using the computational procedures of arithmetic, with many educators emphasizing the need for skilled performance and others emphasizing the need for students to learn procedures with understanding. To this end, the researchers is conducting a study to identify academic predictors of learning proficiency across strands of mathematics of grade 8 students of a public secondary school in Marikina City, the Marikina High School. The study is descriptive in nature and makes use of 6 groups of subjects: they were composed of 42 Grade 8 of Marikina High School, a secondary public school in the Schools Division of Marikina City, Metro Manila. From the research findings, it can be concluded that the majority of the respondents got a high rating in Algebra and Geometry, most of the student respondents fell above the passing rate of the subject Mathematics, and most of the student respondents accumulated a high score rating in Statistics and Probability. The null hypothesis is rejected; therefore, there is a significant difference between students' proficiency levels in Mathematics along with Algebra and Geometry. In academic characteristics related to the proficiency level of the students along study strategy in terms of Rehearsal, analyzing its contents again and again in studying math materials is strongly agreed by the student-respondents; Organization, reading through the class notes textbook and finding out the most important parts is strongly agreed; Self-regulation, listing down related formula first is strongly agreed; Study Environment, making it a hobby to study Math at a fixed time is agreed; Attitude towards Mathematics, student-respondents treat Mathematics difficult but an interesting subject. There is no significant difference in the Academic Characteristics of the respondents except in terms of Attitude towards Mathematics and Time and Study Environment, which have a strong positive/negative difference in the academic characteristics of the respondents. Moreover, a significant relationship exists between academic characteristics and students' proficiency levels.



References:

  1. Adelman, C., (2009). Answers in the tool box: Academic intensity, attendance patterns, and bachelor’s degree attainment. Washington, DC (Washington 20208-5531) : Retrieved from http://hdl.handle.net/2027/pur1.32754070697911
  2. Arroyo, Gloria M. “Strategies Action for Education,” Philippine Journal of Education, 2003.
  3. Bailey, D.H.  Hoard, M. K., Nugent, L., & Geary, D. C. (2016). Competence with fractions predicts gains in mathematics achievement. Journal of Experimental Child Psychology, 113(3), 447–455. http://doi.org/10.1016/j.jecp.2012.06.004
  4. Bashir Gondal Muhammad and Muhammad Azeem, (2017). Math Proficiency Assessment Based Upon Item Response Theory. The International Journal of Interdisciplinary Social Sciences: Annual Review 6 (1): 105-122. doi:10.18848/1833-1882/CGP/v06i01/51979.
  5. Bernardo, Allan B.I.  (2015) Overcoming Obstacles to Understanding and Solving Word Problems in Mathematics, Educational Psychology, 19:2, 149-163, DOI: 10.1080/0144341990190203
  6. Booth, J.L. & Newton, K. J. (2017). Fractions: Could they really be the gatekeeper’s doorman? Contemporary Educational Psychology, 37(4), 247–253. http://doi.org/10.1016/j.cedpsych.2012.07.001
  7. Campbell, J., (2015). Correlation Between Piagetian Theory of Cognitive Development and College Mathematics Proficiency [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1407840377
  8. Ediger, Marlow  (2017). "Mathematics: content and pedagogy." College Student Journal, vol. 43, no. 3, Sept. 2009, pp. 714+. Gale Academic OneFile, link.gale.com/ apps/ doc/ A206687063/ AONE? u=anon~c8476bd0&sid=googleScholar&xid=871fce70. Accessed 3 Mar. 2023.
  9. Eunice Kennedy Shriver National Institute of Child Health and Human Development (2016). First Grade Math Skill Set Foundation for Later Math Ability. https://www.nichd.nih.gov/newsroom/releases/022713-math-knowledge
  10. Flores, Grace (2016). Engagement in Mathematical Thinking and the Proficiency Level of Secondary Students. JPAIR Multidisciplinary Research. 17. 10.7719/jpair.v17i1.280.
  11. Ganal, Nicette N.  and Marizza or Guiab, (2018) “Problems and Diffiiulties by Students towards Mastering Learning Competence, in Mathematics. “Intenational Referred Research Journal. Vol. 5 (October 4, 2018).
  12. Geary, D.C., Hoard MK, Nugent L, Bailey DH (2017) Adolescents’ Functional Numeracy Is Predicted by Their School Entry Number System Knowledge. PLoS ONE 8(1): e54651. https://doi.org/10.1371/journal.pone.0054651
  13. Gervasi, J.M., (2017). Community college students and achievement in mathematics: Predictors of success (Dissertation). University of Southern California, United States -- California. Retrieved from http://search.proquest.com/docview/305122948/abstract
  14. Hemmings, B., & Kay, R. (2017). Prior achievement, effort, and mathematics attitude as predictors of current achievement. The Australian Educational Researcher, 37(2), 41–58. http://doi.org/10.1007/BF03216921
  15. Keys, T.D., (2017). Goal orientations and adolescent mathematics achievement (Dissertation). University of California, Irvine, United States -- California. Retrieved from http://search.proquest.com/docview/1282404709/abstract
  16. Luistro, L. “The Enhanced K+12 Basic Education Program.” Philippine Educational Research Journal. Copyright PERJ, 2011.
  17. Mariano, Rodelia A  et al. (2015). Hands-on Mathematics, A developmental approach. SIBS Publishing House.
  18. Marpa. Eliseo (2016). REDTI Research Compendium. REDTI Research Compendium. Vol. 8.
  19. Ocampo, Dina (2014). “Challenging in Instituting the Curriculum reform.” International Conference in Science and Mathematics Educational, UP NISMED, Philippines (2014
  20. Ooten, C.T. (2017). Focus on fractions to scaffold algebra (Dissertation). The Claremont Graduate University. Retrieved from http://gradworks.umi.com/36/05/3605226.html
  21. Pajares, F., & David, M. (2005). Mathematics self-efficacy and mathematics performances: The need for specificity of assessment. Journal of Counseling Psychology, 42(2), 190–198. http://doi.org/10.1037/0022- 0167.42.2.190
  22. Perfecto, Peter (2020), The Learning crisis in basic education PDI, January 27, 2020.
  23. Price, Charmaine Smith (2016). Connecting metacognition and mathematical proficiency: a case study of South African matriculants. A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science. Signed on 10 September 2016 in Austin, Texas, USA.
  24. Raagas,Justine B.  (2021). Reimagining Philippine Education PDI, February 12, 2021.
  25. Racca, Robelle Millie Ann B.  and Ronald Candy S. Lasaten (2016). English Language Proficiency and Academic Performance of Philippine Science High School Students. International Journal of Languages, Literature and Linguistics, Vol. 2
  26. Ramos, R.R., Baking, E.G., Quiambao, D.T., Nicdao, R.C., Nuqui, A.V., & Cruz, R.C. (2015). THE READING COMPREHENSION AND MATHEMATICS PROFICIENCY LEVEL OF HIGH SCHOOL STUDENTS AND THEIR CORRELATES.
  27. Reynolds, A.J.,  & Walberg, H. J. (1992). A process model of mathematics achievement and attitude. Journal for Research in Mathematics Education, 23(4), 306. http://doi.org/10.2307/749308
  28. Roble, D.B., & Bacabac, M. A. A. (2016). Teaching Proficiency and Preparedness of Pre-service Secondary Mathematics Teachers: its Implications to Actual Practice. American Journal of Educational Research, 4(16), 1184-1190.
  29. Sangcap, Peter Giovanni Araña  (2015). Mathematics-related Beliefs of Filipino College Students: Factors Affecting Mathematics and Problem Solving Performance. ELSEVIER.
  30. Schoenfeld,   A.H. (1985). Mathematical problem solving. Orlando, FL: Academic Press.
  31. Sibbald, T., (2015). Fractions support in a secondary school (Masters Thesis). University of Toronto (Canada), Canada. Retrieved from http://search.proquest.com/docview/305373647/abstract
  32. Siegler, R.S., Duncan, G. J., Davis-Kean, P. E., Duckworth, K., Claessens, A., Engel, M., … Chen, M. (2016). Early predictors of high school mathematics achievement. Psychological Science, 23(7), 691–697. http://doi.org/10.1177/0956797612440101
  33. Sun, K.L., (2018). The role of mathematics teaching in fostering student growth mindset. Journal for Research in Mathematics Education, 49(3), 330–355.
  34. Tartre, L.A. & Fennema, E. (2005). Mathematics achievement and gender: A longitudinal study of selected cognitive and affective variables [grades 6– 12]. Educational Studies in Mathematics, 28(3), 199–217. http://doi.org/10.1007/BF01274173
  35. Winheller, S., Hattie, J. A., & Brown, G. T. L. (2017). Factors influencing early adolescents’ mathematics achievement: High-quality teaching rather than relationships. Learning Environments Research, 16(1), 49–69. http://doi.org/10.1007/s10984-012-9106-6   
  36. Wu, H., (2016). Basic skills versus conceptual understanding. American Educator/American Federation of Teachers, from https://www.aft.org/sites/default/files/periodicals/wu.pdf

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