MATHEMATICS SKILLS IN BASIC SCIENCE AND TECHNOLOGY AS PREDICTORS OF STUDENTS' ACHIEVEMENT IN GENETICS IN NSUKKA EDUCATION ZONE, ENUGU STATE NIGERIA

Autores/as

  • Obiageli Loretta Aniaku Department of Science Education, University of Nigeria, Nsukka
  • Blessing C. Anakpua Department of Science Education, Alex Ekwueme Federal University, Ndufu-Alike https://orcid.org/0009-0001-2772-3028
  • Mercy Ifunanya Ani Department of Science Education, Alex Ekwueme Federal University, Ndufu-Alike
  • Kelechi Chinemerem Mezieobi Department of Educational Management and Foundational Studies, Alex Ekwueme Federal University, Ndufu-Alike
  • Benson Chukwunonso Ezeanyi Department of Science Education, Alex Ekwueme Federal University, Ndufu-Alike
  • Bianca Uzoamaka Mbonu-Adigwe Department of Science Education, University of Nigeria, Nsukka https://orcid.org/0000-0002-4873-5204
  • Christiana Ogonna Odimkpa Department of Science Education, Alex Ekwueme Federal University, Ndufu-Alike
  • Peter Eson Musa Department of Science Education, Adekunle Ajasin University, Akungba-Akoko https://orcid.org/0009-0005-0279-5438
  • Blessing Chinyere Cleopas Department of Science Education, Federal University Otuoke
  • Michael Olagoke Mathematics Education, University of Education, Science and Technology https://orcid.org/0000-0002-9210-8849
  • Christian Chinasaokwu Job Biological Sciences, Faculty of Science, Nigerian Defence Academy

DOI:

https://doi.org/10.18623/rvd.v23.6033

Palabras clave:

Mathematics Skills, Ratio Skills, Probability Skills, Graph Interpretation, Genetics, Academic Achievement

Resumen

This study investigated mathematics skills in Basic Science and Technology as predictors of students’ achievement in genetics. Specifically, the study examined the predictive power of ratio skills, probability skills, and graph interpretation skills on students’ achievement in genetics, as well as their joint contribution. A correlational research design was adopted for the study.  The population of the study comprised all the Senior Secondary School 3 Biology students in Nsukka education zone, from which a representative sample size of 276 Biology students was drawn using multistage sampling procedure. Data were collected using researchers’ designed instruments titled, “Mathematics Skills Test in Basic Science and Technology (MSTBST) covering ratio, probability, and graph interpretation skills, and Genetic Achievement Test (GAT)”. The designed instruments were validated. The reliability coefficients of the instruments yielded an indices of 0.92 and .89 for MSTBST and GAT respectively using Kuder Richardson 20 (KR-20) formula. Data collected were analyzed using linear and multiple regression analyses. The findings revealed that ratio skills accounted for approximately 20% of the variance in students’ achievement in genetics and significantly predicted achievement. Probability skills accounted for about 27% of the variance and also showed a significant predictive influence. Graph interpretation skills accounted for approximately 16% of the variance and significantly predicted students’ achievement, although with a relatively lower contribution. Furthermore, the joint contribution of ratio skills, probability skills, and graph interpretation skills accounted for approximately 51% of the variance in students’ achievement in genetics, indicating a strong combined predictive effect. Based on the findings, it was concluded that mathematics skills are significant predictors of students’ achievement in genetics. It was therefore recommended that teachers integrate ratio, probability, and graph interpretation skills into the teaching of genetics to enhance students’ understanding and academic performance.

Citas

Ainsworth, S., Prain, V., & Tytler, R. (2023). Learning through multiple representations: Graph interpretation in science education. Frontiers in Education, 8, 1186522. https://doi.org/10.3389/feduc.2023.1186522

Akinsola, M. K., & Olowojaiye, F. B. (2008). Teacher instructional methods and student attitudes towards mathematics. International Electronic Journal of Mathematics Education, 3(1), 60–73.

Arbabifar, F. (2021). The role of mathematical skills in science learning among secondary school students. Journal of Educational Research, 14(2), 45–58.

Bybee, R. W. (2013). The case for STEM education: Challenges and opportunities. NSTA Press.

Bybee, R. W. (2013). The case for STEM education: Challenges and opportunities. National Science Teachers Association Press.

Dehipawala, R., Lee, Y. M., & Cheong, C. K. (2014). The role of ratio and proportion in science learning: Evidence from classroom assessment. Journal of Science Education, 18(2), 45–60.

Dehipawala, S., Lee, J., & Cheong, F. (2014). Students’ mathematical abilities and their impact on science achievement. International Journal of Science Education, 36(12), 2023–2041. https://doi.org/10.1080/09500693.2014.918193

Duncan, R. G., & Reiser, B. J. (2007). Reasoning across representations: Graphs, simulations, and student understanding of genetics. Cognition and Instruction, 25(2), 215–264.

Gkitzia, V., Dragona, G., & Tzougraki, C. (2013). Visual literacy and science learning: The effect of graphical interpretation on biology achievement. Research in Science Education, 43(3), 1231–1248.

Honey, M., Pearson, G., & Schweingruber, H. (2014). STEM integration in K–12 education: Status, prospects, and an agenda for research. National Academies Press.

Jerrim, J., López-Agudo, L. A., Marcenaro-Gutiérrez, O., & Shure, N. (2023). What predicts students’ mathematics achievement? Evidence from large-scale assessments. Large-Scale Assessments in Education, 11(1), 1–20. https://doi.org/10.1186/s40536-023-00174-8

Karakolidis, A., Pitsia, V., & Emvalotis, A. (2024). The relationship between mathematics skills and science problem-solving: A structural equation modeling approach. Research in Science Education. Advance online publication. https://doi.org/10.1007/s11165-024-10201-5

Kosslyn, S. M. (2006). Graph design for the eye and mind. Oxford University Press.

Kumar, R., Singh, P., & Sharma, S. (2020). Improving mathematics instruction for enhanced science learning outcomes. arXiv Preprint. https://arxiv.org/abs/2011.10785

Lewis, J., & Wood-Robinson, C. (2000). Genes, chromosomes, and inheritance: Student difficulties and graph interpretation. Journal of Biological Education, 34(2), 68–72.

Li, Y., Schoenfeld, A. H., & diSessa, A. A. (2025). Mathematics as a foundation for STEM education. Education Sciences, 15(2), 177. https://doi.org/10.3390/educsci15020177

Matthews, B., Adams, P., & Goos, M. (2009). Understanding the role of mathematics in science learning. Mathematics Education Research Journal, 21(2), 45–62.

Matthews, K. R., Earnshaw, S., & Kilpatrick, J. (2009). Teaching genetics: The importance of understanding ratios in inheritance. Journal of Biological Education, 43(4), 177–182.

Matthews, K. R., Earnshaw, S., & Kilpatrick, J. (2009). Teaching genetics: The importance of understanding ratios in inheritance. Journal of Biological Education, 43(4), 177–182.

Mosia, M., Khoza, S., & Mnguni, L. (2025). Mathematics skills as predictors of science achievement among secondary school learners. Journal of Science Education, 29(1), 15–30.

National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press. https://doi.org/10.17226/13165

OECD. (2019). PISA 2018 results (Volume I): What students know and can do. OECD Publishing. https://doi.org/10.1787/5f07c754-en

Ogunleye, A. O. (2011). Teachers’ competence and students’ academic achievement in science subjects. African Journal of Educational Research, 15(1), 23–29.

Okafor, P. N. (2014). Challenges in teaching and learning genetics in Nigerian secondary schools. Journal of Science Teachers Association of Nigeria, 49(1), 85–92.

Özdemir, G., & Clark, D. B. (2022). Supporting students’ probabilistic reasoning in genetics problem solving. CBE—Life Sciences Education, 21(4), ar72. https://doi.org/10.1187/cbe.21-02-0031

Özdemir, G., Anderson, C. W., & Clark, D. B. (2022). Reasoning and problem-solving strategies in genetics education. CBE—Life Sciences Education, 21(3), ar45. https://doi.org/10.1187/cbe.21-01-0005

Özdemir, M., & Clark, R. (2022). The influence of mathematical competence on students’ understanding of genetics. International Journal of Science and Mathematics Education, 20(6), 1155–1172.

Özdemir, M., & Clark, R. (2022). The influence of mathematical competence on students’ understanding of genetics. International Journal of Science and Mathematics Education, 20(6), 1155–1172.

Sadler, P. M., & Tai, R. H. (2007). The two high-school pillars supporting college science. Science, 317(5837), 457–458.

Sánchez, E., & García, M. (2024). The role of graphing skills in enhancing science understanding. arXiv Preprint. https://arxiv.org/abs/2411.13195

Schoenfeld, A. H. (2016). Learning to think mathematically: Problem solving and reasoning in education. Journal of Education, 196(2), 1–38.

Tai, R. H., Liu, C. Q., Maltese, A. V., & Fan, X. (2006). Planning early for careers in science. Science, 312(5777), 1143–1144.

WAEC. (2020). Chief examiners’ report on candidates’ achievement in Biology. West African Examinations Council.

Wineburg, S., & Grossman, P. (1998). Understanding graphs and visuals in science learning. Science Education, 82(1), 33–54.

Zhang, D., Kuo, L. J., & Chen, Y. (2023). Mathematical reading ability and its impact on students’ academic achievement. Behavioral Sciences, 13(9), 754. https://doi.org/10.3390/bs13090754

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Publicado

2026-04-20

Cómo citar

Aniaku, O. L., Anakpua, B. C., Ani, M. I., Mezieobi, K. C., Ezeanyi, B. C., Mbonu-Adigwe, B. U., … Job, C. C. (2026). MATHEMATICS SKILLS IN BASIC SCIENCE AND TECHNOLOGY AS PREDICTORS OF STUDENTS’ ACHIEVEMENT IN GENETICS IN NSUKKA EDUCATION ZONE, ENUGU STATE NIGERIA. Veredas Do Direito, 23(6), e236033. https://doi.org/10.18623/rvd.v23.6033

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Vol. 23 Núm. 6 (2026): Veredas do Direito, v. 23, n. 6 2026

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