Effect of Chapter-Wise Performance on Overall ‎Achievement in The Mathematics Subject

  • Authors

    • Bikram Baro Research Scholar, Central Institute of Technology, Kokrajhar, BTAD, Assam, 783370
    • Sahalad Borgoyary Assistant Professor, Mathematics Department, Central Institute of Technology, Kokrajhar, BTAD, Assam, 783370
    https://doi.org/10.14419/r5ytdw11

    Received date: June 22, 2025

    Accepted date: August 14, 2025

    Published date: August 27, 2025

  • Chapter-Wise Performance; Mathematics Achievement; Student Performance Analysis; Statistical Analysis; Educational Assessment; ‎Performance Gap‎.
  • Abstract

    This study investigates the impact of chapter-wise performance on overall achievement in mathematics among ‎secondary school students. A total of 400 students were surveyed and categorized into two performance groups- ‎Very weak (VW) and Very good (VG) based on their mathematics scores. The main objective of this study is to ‎analyse the relationship between students’ performance in individual mathematics chapters and their overall ‎achievement in the subject. A t-test revealed that there is no statistically significant difference between the VW ‎and VG groups (t = 0.57, p>0.05), which suggests that performance in individual chapters does not vary ‎significantly between extreme achievement groups. However, Pearson’s correlation analysis indicated a ‎strong negative relationship between VG scores and VW outcomes (r = -0.85, p = 0.02), implying that ‎improvements in stronger students may correspond with underperformance in weaker counterparts for certain ‎content areas. Linear regression analysis produced a strong correlation (R = 0.85), and the relationship was ‎statistically significant as confirmed by ANOVA (p = 0.013). The resulting regression equation, VW = 57.32 – ‎‎1.13.VG provides a predictive model for understanding disparities in chapter-level knowledge. These findings ‎can inform targeted instructional strategies and chapter-wise interventions to enhance overall mathematical ‎achievement.

  • References

    1. S. Chand, K. Chaudhary, A. Prasad, and V. Chand, “Perceived Causes of Students’ Poor Performance in Mathematics: A Case Study at Ba and Tavua Secondary Schools,” Front Appl Math Stat, vol. 7, Apr. 2021, https://doi.org/10.3389/fams.2021.614408.
    2. N. Mabena, P. N. Mokgosi, and S. S. Ramapela, “FACTORS CONTRIBUTING TO POOR LEARNER PERFORMANCE IN MATHEMATICS: A CASE OF SELECTED SCHOOLS IN MPUMALANGA PROVINCE, SOUTH AFRICA,” Problems of Education in the 21st Century, vol. 79, no. 3, pp. 451–466, Jun. 2021, https://doi.org/10.33225/pec/21.79.451.
    3. R. A. N. Al-Tameemi et al., “Determinants of poor academic performance among undergraduate students—A systematic literature review,” Interna-tional Journal of Educational Research Open, vol. 4, p. 100232, 2023, https://doi.org/10.1016/j.ijedro.2023.100232.
    4. C. S. Levine et al., “Academic disparities and health: How gender-based disparities in schools relate to boys’ and girls’ health,” Soc Sci Med, vol. 228, pp. 126–134, May 2019, https://doi.org/10.1016/j.socscimed.2019.02.036.
    5. S. Rezat, L. Fan, and B. Pepin, “Mathematics textbooks and curriculum resources as instruments for change,” ZDM – Mathematics Education, vol. 53, no. 6, pp. 1189–1206, Nov. 2021, https://doi.org/10.1007/s11858-021-01309-3.
    6. A. E. du Plessis, E. Küng, and E. du Plessis, “Challenges for Pedagogical Effectiveness in an Ever-Changing Education Landscape: Conceptualisa-tion of Pedagogical Mobility and Flexibility as a Context-Consciousness,” Educ Sci (Basel), vol. 14, no. 4, p. 349, Mar. 2024, https://doi.org/10.3390/educsci14040349.
    7. “Academic Self-Concept and Academic Performance of College of Education Students,” Journal of Education and Practice, Aug. 2021, doi: 10.7176/JEP/12-24-06. https://doi.org/10.7176/JEP/12-24-06.
    8. [8] Mani Mookkiah, Mahendraprabu, and Soniya Antony, “Study Habits and Its Impact on Academic Performance in English of Higher Secondary School Students,” International Journal of Creative Research Thoughts, vol. 10, no. 5, pp. 628–636, May 2022.
    9. R. S. Yadav, A. K. Soni, and S. Pal, “A study of academic performance evaluation using Fuzzy Logic techniques,” in 2014 International Conference on Computing for Sustainable Global Development (INDIACom), IEEE, Mar. 2014, pp. 48–53. https://doi.org/10.1109/IndiaCom.2014.6828010.
    10. S. Sarker, M. K. Paul, S. T. H. Thasin, and Md. A. M. Hasan, “Analyzing students’ academic performance using educational data mining,” Comput-ers and Education: Artificial Intelligence, vol. 7, p. 100263, Dec. 2024, https://doi.org/10.1016/j.caeai.2024.100263.
    11. J. M. Mendel, M. R. Rajati, and P. Sussner, “On clarifying some definitions and notations used for type-2 fuzzy sets as well as some recommended changes,” Inf Sci (N Y), vol. 340–341, pp. 337–345, May 2016, https://doi.org/10.1016/j.ins.2016.01.015.
    12. I. A. Mendes and C. A. F. da Silva, “Problematization and Research as a Method of Teaching Mathematics,” International Electronic Journal of Mathematics Education, vol. 13, no. 2, pp. 41–45, Jun. 2018, https://doi.org/10.12973/iejme/2694.
    13. Ebiendele E. Peter and Adetunji A. Olaoye, “Symbolic notations and students’ achievements in algebra,” Educational Research and Reviews, vol. 8, no. 15, pp. 1294–1303, Jun. 2013.
    14. W. D. Reeve, The Republic of Korea: A political and economic study. Oxford University Press, 1963.
    15. A. B. Krueger and M. Lindahl, “Education for Growth: Why and for Whom?,” J Econ Lit, vol. 39, no. 4, pp. 1101–1136, Dec. 2001, https://doi.org/10.1257/jel.39.4.1101.
    16. M. M. Chiu and Z. Xihua, “Family and motivation effects on mathematics achievement: Analyses of students in 41 countries,” Learn Instr, vol. 18, no. 4, pp. 321–336, Aug. 2008, https://doi.org/10.1016/j.learninstruc.2007.06.003.
    17. Kunnathodi Abdul Gafoor and Abidha Kurukkan, “Why High School Students Feel Mathematics Difficult? An Exploration of Affective Beliefs,” in Pedagogy of Teacher Education: Trends and Challenges, Kerala, Aug. 2015, pp. 23–27.
    18. Nasrin Akhter and Nasreen Akhter, “Learning in Mathematics: Difficulties and Perceptions of Students,” ournal of Educational Research, Dept. of Education, vol. 21, no. 1, pp. 147–163, Jun. 2018.
    19. Y. Dong, “Descriptive Statistics and Its Applications,” Highlights in Science, Engineering and Technology, vol. 47, pp. 16–23, May 2023, https://doi.org/10.54097/hset.v47i.8159.
    20. L. R. Odom and Jr. , J. R. Morrow, “What’s this r? A Correlational Approach to Explaining Validity, Reliability and Objectivity Coefficients,” Meas Phys Educ Exerc Sci, vol. 10, no. 2, pp. 137–145, Jun. 2006, https://doi.org/10.1207/s15327841mpee1002_5.
    21. N. Guner, “Difficulties Encountered by High School Students in Mathematics,” Int J Educ Method, vol. 6, no. 4, pp. 703–713, Nov. 2020, https://doi.org/10.12973/ijem.6.4.703.
    22. Jolina T. Bacong, Cherry Mae T. Encabo, Jayhad Michael B. Limana, and Cyril A. Cabello, “The High School Students’ Struggles and Challenges in Mathematics: A Qualitative Inquiry,” PSYCHOLOGY AND EDUCATION: A MULTIDISCIPLINARY JOURNAL, vol. 12, pp. 306–311, Aug. 2023.
    23. O. Fitzmaurice, N. O’Meara, and P. Johnson, “Highlighting the Relevance of Mathematics to Secondary School Students – Why and How,” Europe-an Journal of STEM Education, vol. 6, no. 1, pp. 1–13, May 2021, https://doi.org/10.20897/ejsteme/10895.
    24. J. E. Hagan, S. Amoaddai, V. T. Lawer, and E. Atteh, “Students’ Perception towards Mathematics and Its Effects on Academic Performance,” Asian Journal of Education and Social Studies, vol. 1, no. 8, pp. 8–14, May 2020, https://doi.org/10.9734/ajess/2020/v8i130210.
    25. J. Jäder, J. Lithner, and J. Sidenvall, “Mathematical problem solving in textbooks from twelve countries,” Int J Math Educ Sci Technol, vol. 51, no. 7, pp. 1120–1136, Oct. 2020, https://doi.org/10.1080/0020739X.2019.1656826.
    26. O. Birgin, M. Baloğlu, H. Çatlıoğlu, and R. Gürbüz, “An investigation of mathematics anxiety among sixth through eighth grade students in Turkey,” Learn Individ Differ, vol. 20, no. 6, pp. 654–658, Dec. 2010, https://doi.org/10.1016/j.lindif.2010.04.006.
    27. S. Caviola, E. Toffalini, D. Giofrè, J. M. Ruiz, D. Szűcs, and I. C. Mammarella, “Math Performance and Academic Anxiety Forms, from Sociodemo-graphic to Cognitive Aspects: a Meta-analysis on 906,311 Participants,” Educ Psychol Rev, vol. 34, no. 1, pp. 363–399, Mar. 2022, https://doi.org/10.1007/s10648-021-09618-5.
    28. Yousuf Nasser Said Al Husaini and Nur Syufiza Ahmad Shukor, “Factors Affecting Students’ Academic Performance: A review,” Social Science Journal, vol. 12, no. 6, pp. 284–294, Jan. 2023.
    29. P. Liljedahl, M. Santos-Trigo, U. Malaspina, and R. Bruder, “Problem Solving in Mathematics Education,” vol. 56, 2016, pp. 1–39. https://doi.org/10.1007/978-3-319-40730-2_1.
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  • How to Cite

    Baro, B., & Borgoyary, S. (2025). Effect of Chapter-Wise Performance on Overall ‎Achievement in The Mathematics Subject. International Journal of Basic and Applied Sciences, 14(4), 729-736. https://doi.org/10.14419/r5ytdw11