INTEREST-DRIVEN TECHNOLOGY-ENHANCED MATHEMATICS INSTRUCTION AND STUDENT OUTCOMES IN FEDERAL CAPITAL TERRITORY, ABUJA, NIGERIA

Authors

  • ITYAVZUA, Terhemen Moses Department of Computer Science Education, Joseph Sarwuan Tarka University, Makurdi, Benue State, Nigeria Author
  • ARUWA, Benedict Mohammed Department of Educational Technology, Federal University of Technology, Minna, Niger State, Nigeria Author

Keywords:

interest development, GeoGebra, Desmos, student engagement, self-regulated learning, mathematics education

Abstract

This quasi-experimental study examined the association between a ten-week multi-component interest-driven technology-enhanced mathematics instructional programme and student motivation, engagement, and self-regulated learning (SRL) among Senior Secondary Two (SS 2) students in Bwari Area Council, Federal Capital Territory (FCT), Nigeria. Grounded in the Four-Phase Model of Interest Development (Hidi & Renninger, 2006) and Zimmerman’s (2002) SRL framework, the programme embedded interactive digital boards, GeoGebra and Desmos tablet-based tools, collaborative problem-solving, open-exploration windows, and digital self-assessment portfolios within coordinate geometry and trigonometry instruction. A non-equivalent control group design compared 60 experimental and 58 control students from two purposively selected public secondary schools. Three validated instruments assessed outcomes: the Situational Interest–Motivation (SIM) Scale, the Student Behavioural Engagement Questionnaire (SBEQ), and the Motivated Strategies for Learning Questionnaire Self-Regulated Learning subscale (MSLQ-SRL). Student-level ANCOVA, with pre-test scores as covariates, indicated significantly higher adjusted post-test scores for the experimental group on motivation (F(1, 115) = 114.36, p < .001, partial η² = .495), overall engagement (F(1, 115) = 96.82, p < .001, partial η² = .454), and self-regulation (F(1, 115) = 108.91, p < .001, partial η² = .480). Interest-phase progression analysis indicated that 81.7% of experimental students advanced at least one interest phase compared with 15.5% of control students. Because treatment was assigned at the school level and the intervention comprised multiple components, findings are exploratory estimates and cannot be causally attributed to any single instructional element. Findings suggest that technology-enhanced mathematics instruction may support motivational and regulatory development when digital tools are organised around interest-triggering, contextual relevance, learner agency, and self-monitoring.

References

Adeyemi, F. O., & Oluwatobi, A. (2020). Validation of the Motivated Strategies for Learning Questionnaire (MSLQ) for use with Nigerian secondary school students. Journal of Educational Measurement and Evaluation, 8(2), 112–128.

Arbain, N., & Shukor, N. A. (2015). The effects of GeoGebra on students achievement. Procedia – Social and Behavioral Sciences, 172, 208–214. https://doi.org/10.1016/j.sbspro.2015.01.356

Bhagat, K. K., Chang, C. N., & Chang, C. Y. (2016). The impact of using GeoGebra on student achievement in learning trigonometry. The Turkish Online Journal of Distance Education, 17(1), 1–10. https://doi.org/10.17718/tojde.22820

Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research: A systematic review of recent trends. Computers & Education, 114, 255–273. https://doi.org/10.1016/j.compedu.2017.07.004

Cheung, A. C. K., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K–12 classrooms: A meta-analysis. Educational Research Review, 9, 88–113. https://doi.org/10.1016/j.edurev.2013.01.001

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059

Hannula, M. S., Di Martino, P., Pantziara, M., Zhang, Q., Morselli, F., Heyd-Metzuyanim, E., Lutovac, S., Kaasila, R., Middleton, J. A., Jansen, A., & Goldin, G. A. (2019). Affect and mathematics education: Fresh perspectives on motivation, engagement, and identity. ICME-13 Monographs. Springer. https://doi.org/10.1007/978-3-030-13761-8

Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33–46. https://doi.org/10.2307/749455

Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127. https://doi.org/10.1207/s15326985ep4102_4

Laili, R. N., & Nashir, M. (2022). The effect of ICT-integrated instruction on secondary school student engagement: A systematic review. Journal of Education and Learning, 16(1), 33–42. https://doi.org/10.11591/edulearn.v16i1.20218

Li, Q., & Ma, X. (2010). A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educational Psychology Review, 22(3), 215–243. https://doi.org/10.1007/s10648-010-9125-8

Middleton, J. A., & Spanias, P. A. (1999). Motivation for achievement in mathematics: Findings, generalisations, and criticisms of the research. Journal for Research in Mathematics Education, 30(1), 65–88. https://doi.org/10.2307/749490

Nwosu, K. C., & Okafor, C. O. (2021). Validation of the Academic Motivation Scale for use in Nigerian secondary school contexts. Journal of the Nigerian Academy of Education, 17(1), 88–104.

Ogundele, G. A., & Adebayo, S. T. (2021). Technology-enhanced instruction and student engagement in Kwara State secondary schools: A quasi-experimental study. West African Journal of Educational Research, 24(1), 71–89.

Panadero, E. (2017). A review of self-regulation theories: How they measure and how they apply to the classroom. Frontiers in Psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422

Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). National Center for Research to Improve Postsecondary Teaching and Learning, University of Michigan.

Reeve, J. (2013). How students create motivationally supportive learning environments for themselves: The concept of agentic engagement. Journal of Educational Psychology, 105(3), 579–595. https://doi.org/10.1037/a0032690

Renninger, K. A., & Hidi, S. E. (2022). Interest development, self-related information, and the emergence of individual interest. Learning and Instruction, 80, 101611. https://doi.org/10.1016/j.learninstruc.2022.101611

Rotgans, J. I., & Schmidt, H. G. (2022). Interest in problems and interest in topics: Their interplay and its effect on knowledge development. Learning and Individual Differences, 99, 102195. https://doi.org/10.1016/j.lindif.2022.102195

Ruthven, K., Hennessy, S., & Deaney, R. (2008). Constructions of dynamic geometry: A study of the interpretative flexibility of educational software in classroom practice. Computers & Education, 51(1), 297–317. https://doi.org/10.1016/j.compedu.2007.05.013

Tamam, B., & Dasari, D. (2021). The use of GeoGebra software in teaching mathematics. Journal of Physics: Conference Series, 1882(1), 012042. https://doi.org/10.1088/1742-6596/1882/1/012042

Teng, M. F., & Zhang, L. J. (2020). Empowering learners in the digital age: How and to what extent does digital scaffolding enable self-regulated learning in secondary school classrooms? Journal of Educational Technology and Society, 23(4), 13–26.

Wahyu, K., Suastra, I. W., & Sadia, I. W. (2020). Interest-driven learning and academic motivation in technology-enriched Indonesian secondary science classrooms. Journal of Physics: Conference Series, 1503, 012036. https://doi.org/10.1088/1742-6596/1503/1/012036

West African Examinations Council. (2023). Chief examiner’s report: Mathematics (WASSCE 2023). WAEC Nigeria. Retrieved from https://waeconline.org.ng

Yohannes, A., & Chen, H.-L. (2021). GeoGebra in mathematics education: A systematic review of journal articles published from 2010 to 2020. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2021.2016861

Zengin, Y., Furkan, H., & Kutluca, T. (2012). The effect of dynamic mathematics software GeoGebra on student achievement in teaching of trigonometry. Procedia – Social and Behavioral Sciences, 31, 183–187. https://doi.org/10.1016/j.sbspro.2011.12.038

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2

Downloads

Published

2026-05-30

How to Cite

INTEREST-DRIVEN TECHNOLOGY-ENHANCED MATHEMATICS INSTRUCTION AND STUDENT OUTCOMES IN FEDERAL CAPITAL TERRITORY, ABUJA, NIGERIA. (2026). Impact International Journals and Publications, 2(issue 2), 1164-1184. https://impactinternationaljournals.com/publications/index.php/ojs/article/view/481

Most read articles by the same author(s)

Similar Articles

1-10 of 245

You may also start an advanced similarity search for this article.