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Research Article

Acquisition and Performance in Mathematics Among Criminology Students

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Abstract

This study evaluated the performance of BS Criminology students in their mathematics course at Ifugao State University Potia Campus in terms of competency acquisition, difficulty level, and course performance. Specifically, it aimed to determine the degree of competency acquisition, level of difficulty, and performance in mathematics; analyze the correlation between performance and perceived competency acquisition; examine the relationship between difficulty level and performance; and gather student input for improving instruction. Data were collected from 239 students using descriptive quantitative and qualitative methods, including mean values, grade distribution tests, correlation analysis, and thematic coding. Results revealed that students achieved a high degree of competency acquisition with a mean score of 4.12, experienced a low difficulty level with a mean score of 2.18, and obtained an average performance reflected in a mean grade of 82.45. Performance showed a significant positive correlation with competency acquisition, r = .62, p < .01, and a significant negative correlation with difficulty level, r = −.48, p < .01. Students suggested more interactive lessons, contextualized examples, and additional learning resources. The findings emphasize the need to align instructional strategies with students’ competency levels and address perceived difficulties to improve mathematics learning outcomes.

Keywords:

Competency Acquisition Difficulty, Mathematics Performance Mathematics in the Modern World

Article information

Journal

Journal of Exceptional Multidisciplinary Research

Volume (Issue)

2(2), (2025)

Pages

37-44

Published

26-08-2025

How to Cite

Salazar-Lubbong, M. (2025). Acquisition and Performance in Mathematics Among Criminology Students. Journal of Exceptional Multidisciplinary Research, 2(2), 37-44. https://doi.org/10.69739/jemr.v2i2.821

References

Cabana, M. R., Sheryn, R. M., & Dela Cruz, M. D. (2018). Students’ perceptions of the relevance of learning mathematics. Journal of Educational Research and Practice, 8(2), 45–56.

Department of Education. (2016). Mathematics in the Modern World syllabus. Department of Education, Philippines.

Dudovskiy, J. (2022). The ultimate guide to writing a dissertation (6th ed.). Research Methodology. https://research-methodology.net

Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489. https://doi.org/10.5812/ijem.3505

Henry, D. L., Baltes, B., & Nistor, N. (2014). Examining the relationship between math scores and English language proficiency. Journal of Educational Research and Practice, 4(1), 11–21.

Lai, Y., Zhu, X., Chen, Y., & Li, Y. (2015). Effects of mathematics anxiety and mathematical metacognition on word problem solving in children with and without mathematical learning difficulties. PLOS ONE, 10(6), e0130570. https://doi.org/10.1371/journal.pone.0130570

Lawal, R. F., & Awofala, A. O. A. (2023). Effect of Team Assisted Individualisation strategy on senior secondary school students’ motivation to learn mathematics. Nigerian Online Journal of Educational Sciences and Technology, 3(1), 36–46.

Limbaco, K. S. A. (2015, March). Values taught, values learned, attitude and performance in mathematics. In AIP Conference Proceedings, 1651(1), 94–98. AIP Publishing. https://doi.org/10.1063/1.4918457

McCombes, S. (2022). Descriptive research: Definition, types, methods, and examples. Scribbr. https://www.scribbr.com/methodology/descriptive-research

Mousoulides, N., et al. (2022). Insights and challenges of blended learning during the pandemic: A case study in mathematics education. Journal of Educational Technology & Society, 25(3), 34–47.

Op’t Eynde, P., & Hannula, M. S. (2019). Emotional responses to mathematics and their influence on classroom participation and persistence. Educational Studies in Mathematics, 100(2), 123–138.

Rambely, A. S., Ahmad, R., Majid, N., & Jaaman, S. H. (2013). The relationship between English proficiency and mathematics achievement. Malaysian Journal of Learning and Instruction, 10(2), 1–16.

Roman, A. G., & Villanueva, R. U. (2019). Competency acquisition, difficulty, and performance of first-year college students in Mathematics in the Modern World (MITMW). International Journal of Scientific & Technology Research, 8(12), 2731–2736.

Schukajlow, S., & Rakoczy, K. (2016). The power of emotions: Can enjoyment and boredom explain the impact of individual preconditions and teaching methods on interest and performance in mathematics? Learning and Instruction, 42, 1–10.

Sereno, C. (2021). Comparison of Pearson vs. Spearman correlation coefficients. Statistics Solutions. https://www.statisticssolutions.com/

Simonds, B., Meyer, K., Quinlan, M., & Hunt, S. (2006). Effects of instructor speech rate on student affective learning, recall, and perceptions of nonverbal immediacy, credibility, and clarity. Communication Research Reports, 23(3), 187–195. https://doi.org/10.1080/08824090600796493

Sumpter, L. (2021). Students’ beliefs and mathematical problem-solving strategies. International Journal of Science and Mathematics Education, 19(4), 789–804.

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