Use of Digital Tools as a Correlate of Students’ Understanding of pH Scale in Water Samples in Owerri Municipal Council of Imo State

Authors

  • Eze Christopher Akanazu Alvan Ikoku Federal University of Education, Owerri, Imo State
  • Raina Ajuruchi Ekpewu Ovie Alvan Ikoku Federal University of Education, Owerri, Imo State

Keywords:

Digital tools, pH scale, Science education, Water samples

Abstract

This study investigated the relationship between the use of digital tools and students’ understanding of the pH scale in water samples within Owerri Municipal Council of Imo State. Guided by three research questions and corresponding null hypotheses, the study employed a correlational research design. A sample of 356 science education students from Alvan Ikoku Federal University of Education, Owerri, was selected through a multi-stage sampling process. Data were collected using a validated and reliable researcher-developed instrument titled “Digital Tools and pH Understanding Questionnaire” (DTPHUQ), and analyzed using Pearson’s product-moment correlation, coefficient of determination (R²), and regression analysis at a 0.05 level of significance. The results showed a moderate positive relationship between the use of pH simulation apps and students’ understanding of the pH scale, with a correlation coefficient of r = 0.55, and a coefficient of determination of R² = 0.303, indicating that 30.3% of the variance in understanding was explained by the use of simulation apps (β = 0.55, t = 12.15, p < 0.05). A stronger positive relationship was observed between the use of digital pH meters and students’ interpretation of pH values, with r = 0.60 and R² = 0.36, meaning 36% of the variance was attributable to the tool (β = 0.60, t = 13.90, p < 0.05). Additionally, exposure to interactive video tutorials showed a moderate positive relationship, with r = 0.50, R² = 0.25, and a regression coefficient of β = 0.50, t = 10.35, p < 0.05, explaining 25% of the variance in conceptual understanding. All three null hypotheses were rejected, indicating statistically significant relationships. Based on these findings, the study concludes that digital tools play a crucial role in enhancing science students’ understanding of pH and water quality concepts. It recommends the deliberate integration of these tools into science education to foster digital literacy, improve conceptual mastery, and promote more effective environmental science teaching in the 21st century.

References

Adiotomre, K.O. & Agbale, N.R. (2015). Comparative analysis of sachet water samples sold in Benin City, Edo State, Nigeria. International Journal of Innovative Environmental Studies Research, 3(3), 22-35.

Aralu C. C., Okoye P. A. C. & Abugu H. O., et al. (2022). Pollution and water quality index of boreholes within unlined waste dumpsite in Nnewi, Nigeria. Discover Water, 2(1), 1-10.

Egereonu, U.U., Nnawuchia, O.G., Okoro, N.J., Egereonu, J.C., Ezekoye, M.O., Igbomezie, M.C., Obiagwu, I.C. & Onwuka, C. (2024). Physicochemical analysis of groundwater quality in Owerri Municipal, Imo State, Nigeria using MATLAB and ANN Models. Emerging Trends in Chemical Engineering, 11(1), 1-43.

Enyoh, C.E., Verla, A.W. & Egejuru, N.J. (2018). pH variations and chemometric assessment of borehole water in Orji, Owerri Imo State, Nigeria. J. Environ Anal Chem., 5(1), 238-48.

Ibe, F.C. & Ibeachu., B.E. (2020). Metallic contaminant levels of borehole water sources within metal scrap dumpsites in Aboh-Mbaise, Imo State, Nigeria. World Scientific News, 144(1), 226-242.

Ibe, F.C., Ahmad, S.A., Ashabelem, M.C. & Enyoh, C.E. (2023). Quality assessment of some sachet water produced and sold around Owerri North Local Government Area of Imo State, Nigeria. Scientific World, 175(1), 96-108.

Magaji, J.Y. & Ajayi, T.A. (2020). Comparative analysis of water quality from different sources in Masaka, Nasarawa State, Nigeria Abimbola Ajayi Global initiative for food security and ecosystem preservation. Aust. J. Sci. Technol., 4(1), 303-311.

Maimuna, W. & Victor, O.O. (2012). Prediction of some water quality indices in River Yobe- Nigeria, through annual projections. Front. Sci., 2 (1), 58-61.

Nkwoada, A., Austin, T., Oluboyo, M., Bilar, A. &• Christopher, A. (2024). Quality assessment and health impact of bottled water in Uratta, Imo State: A retrospective study. Sustainable Water Resources Management, 10(3), 1-11.

Okore, G. J., Ehirim, A., Nwaodu, M.-C., Okeke, P., & Metu, S. I. (2024). Utilization of artificial intelligence tools by final year chemistry students in tertiary institutions in Owerri, Imo State, Nigeria. Faculty of Natural and Applied Sciences Journal of Computing and Applications, 2(1), 86–93.

Verla, E.N., Verla, A.W. & Enyoh, C.E. (2020). Finding a relationship between physicochemical characteristics and ionic composition of River Nworie, Imo State, Nigeria. PeerJ Analytical Chemistry, 2(5), 1-23.

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Published

2026-03-13

How to Cite

Akanazu, E. C., & Ekpewu Ovie, R. A. (2026). Use of Digital Tools as a Correlate of Students’ Understanding of pH Scale in Water Samples in Owerri Municipal Council of Imo State. International Journal of Natural and Practical Sciences (IJNPS), 8(1), 1–8. Retrieved from https://icidr.org.ng/index.php/Ijnps/article/view/1859