Impact of Error Analysis Techniques on Mathematics’ Assimilation among a Cohort of Struggling Secondary School Students

Authors

DOI:

https://doi.org/10.57125/FED.2024.12.25.15

Keywords:

Error Analysis, Teaching Techniques, Mathematics, Education, Secondary Education, Students, Assimilation

Abstract

There has been an increasing number of mathematics failures among secondary school students in Africa in the past few years, specifically in Nigeria, as 20% of candidates who sat for the West African Certificate Examination failed in 2023 and an increasing percentage of 27% in 2024. However, there have been diverse attempts by different scholars and policymakers to salvage the situation, but not much success has been achieved. This study, therefore, investigated the impact/effectiveness of Error Analysis Techniques (EAT) on mathematics assimilation among struggling students in a selected secondary school. The study employed a Quasi-experimental research design and purposive sampling method to assign the study participants to different study groups (1 control and 2 experimental groups). Twenty-six (N = 26) participants were selected to participate in the study based on the inclusion criteria. The study's outcome revealed that Error Analysis Techniques significantly increased students’ assimilation/understanding of problematic mathematical calculations. Furthermore, participants in experimental groups 1 and 2 showed better assimilation after the experiment than participants in the control group. The study, therefore, concluded that EAT is efficacious in improving mathematics understanding for struggling students. The limitations and recommendations of the study were further discussed.

 

References

Agberotimi, S. F., Olaseni, A. O., & Oladele, O. T. (2021). Efficacy of psychoeducation and problem-solving therapy on mathematics anxiety among selected secondary school students in Ilesa, Osun state, Nigeria. Edorium Journal of Psychology, 1, 1-8. https://www.academia.edu/download/88864195/100001P13SA2015-agberotimi.pdf

Al-Khresheh, M. H. (2016). A review study of error analysis theory. International Journal of Humanities and Social Science Research, 2, 49–59. https://lifescienceglobalca.com/index.php/ijhssr/article/view/3722

Awofala, O. A. A., & Fatade, O. A. (2023). Nigerian students’ poor performance in mathematics: Who do we blame?. Nigerian Online Journal of Educational Sciences and Technology, 5(1), 80–91. http://nojest.unilag.edu.ng/article/view/1713

Awofala, A. O., Lawal, R. F., Arigbabu, A. A., & Fatade, A. O. (2022). Mathematics productive disposition as a correlate of senior secondary school students’ achievement in mathematics in Nigeria. International Journal of Mathematical Education in Science and Technology, 53(6), 1326–1342. https://doi.org/10.1080/0020739X.2020.1815881

Bruner, J. S. (1966). Towards a theory of instruction. Cambridge: Harvard University Press. https://www.scirp.org/reference/referencespapers?referenceid=1457921

Cassano, C. M., & Paciga, K. A. (2023). Guided drawing with multilingual preschoolers: Developing language, vocabulary, and content knowledge. Teachers College Press.

Caviola, S., Toffalini, E., Giofrè, D., Ruiz, J. M., Szűcs, D., & Mammarella, I. C. (2022). Math Performance and Academic Anxiety Forms, from Sociodemographic to Cognitive Aspects: A Meta-analysis on 906,311 Participants. Educational Psychology Review, 34(1), 363–399. https://doi.org/10.1007/s10648-021-09618-5

Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35. https://doi.org/10.1037/bul0000052

Deleg, A., Zanabazar, A., & Ravdan, M. (2022). Relationships between mathematics anxiety, mathematical performance, and teacher-related factors. In Quality Assurance in Higher Education International Conference (QAHE 2022) (pp. 130–141). Atlantis Press. https://doi.org/10.2991/978-2-494069-41-1_16

Desoete, A., & Baten, E. (2022). Math learning in grade-4 and 5: what can we learn form the opportunity-propensity model?. International Electronic Journal of Elementary Education, 14(3), 213–225. https://biblio.ugent.be/publication/8770426

Dugard, P., Todman, J., & Staines, H. (2022). Analysis of covariance (ANCOVA). In P. Dugard, J. Todman, & H. Staines (Eds.), Approaching Multivariate Analysis (2nd ed., pp. 117–138). Routledge. https://doi.org/10.4324/9781003343097-5

Ferrão, M. E. (2022). The evaluation of students’ progression in lower secondary education in Brazil: Exploring the path for equity. Studies in Educational Evaluation, 75, Article 101220. https://doi.org/10.1016/j.stueduc.2022.101220

Jerri, A. (2021). Integral and discrete transforms with applications and error analysis. CRC Press.

Khanal, S. P. (2019). Irregular attendance of university students at class and its relation to their academic achievement. Tribhuvan University Journal, 33(1), 115–128. https://doi.org/10.3126/tuj.v33i1.28687

Lasisi, A. K., Hassan, A. A., & Abdulkareem, H. B. (2024). Impact of single parenting on academic performance of junior secondary school students in mathematics. ASEAN Journal for Science Education, 3(2), 129–138. https://ejournal.bumipublikasinusantara.id/index.php/ajsed/article/view/440

LinguaBot. (2024). AI-driven error analysis in language learning. https://www.linguabot.com

Merayo, N., & Ayuso, A. (2023). Analysis of barriers, supports and gender gap in the choice of STEM studies in secondary education. International Journal of Technology and Design Education, 33(4), 1471–1498. https://doi.org/10.1007/s10798-022-09776-9

Nauzeer, S., & Jaunky, V. C. (2021). A meta-analysis of the combined effects of motivation, learning and personality traits on academic performance. Pedagogical Research, 6(3), Article em0097. https://doi.org/10.29333/pr/109631

Ndungo, I., Akugizibwe, E., & Balimuttajjo, S. (2024). Analyzing trends and suggested instructional strategies for Geometry education: Insights from Uganda Certificate of Education-Mathematics Examinations, 2016–2022. African Journal of Teacher Education, 13(2), 153–186. https://journal.lib.uoguelph.ca/index.php/ajote/article/view/8106

Nunes, T., & Moreno, C. (2021). Is hearing impairment a cause of difficulties in learning mathematics? In C. Donlan (Ed.), The Development of Mathematical Skills (1st ed., pp. 226–254). Psychology Press. https://doi.org/10.4324/9781315784755-14

Olaseni, V. M. (2024). Enrolment of students in Nigerian tertiary institutions: A reflective impact of the slogan ‘who school help’. Interdisciplinary Journal of Education Research, 6, 1–17. https://doi.org/10.38140/ijer-2024.vol6.31

Olaseni, V. M., & Lawal, D. D. (2020). Experimenting the effect of class size on mathematics based performance: A case study of selected public secondary school in Akure. Higher Education of Social Science, 18(2), 26–30. http://dx.doi.org/10.3968/11691

Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), Article em2307. https://doi.org/10.29333/ejmste/13428

Piaget, J. (1953). How children form mathematical concepts. Scientific American, 189(5), 74–79. https://www.jstor.org/stable/24944400

Pongsakdi, N., Kajamies, A., Veermans, K., Lertola, K., Vauras, M., & Lehtinen, E. (2020). What makes mathematical word problem solving challenging? Exploring the roles of word problem characteristics, text comprehension, and arithmetic skills. ZDM, 52, 33–44. https://doi.org/10.1007/s11858-019-01118-9

Rai, N., & Thapa, B. (2015). A study on purposive sampling method in research. Kathmandu: Kathmandu School of Law, 5(1), 8–15. https://www.academia.edu/download/48403395/A_Study_on_Purposive_Sampling_Method_in_Research.pdf

Sahara Reporter. (August 13, 2024). Over 500,000 Nigerian students fail English, mathematics in 2024 WASSCE. https://saharareporters.com/2024/08/13/over-500000-nigerian-students-fail-english-mathematics-2024-wassce

Thomas, E., & Anangabor, E. V. (2024). Influence of affective characteristics on students’ academic achievement in mathematics in Calabar Akamkpa local government area of Cross River State, Nigeria. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4691854

Weathers, E. S. (2023). Bias or empathy in universal screening? The effect of teacher–student racial matching on teacher perceptions of student behavior. Urban Education, 58(3), 427–456. https://doi.org/10.1177/0042085919873691

Weigand, H.-G., Trgalova, J., & Tabach, M. (2024). Mathematics teaching, learning, and assessment in the digital age. ZDM – Mathematics Education, 56(4), 525–541. https://doi.org/10.1007/s11858-024-01612-9

Wrigley-Asante, C., Ackah, C. G., & Frimpong, L. K. (2023). Gender differences in academic performance of students studying Science Technology Engineering and Mathematics (STEM) subjects at the University of Ghana. SN Social Sciences, 3(1), Article 12. https://doi.org/10.1007/s43545-023-00608-8

Zulu, J. (2019). An analysis of o-level physics curriculum design and teacher pedagogical content knowledge in selected secondary schools in Lusaka district, Zambia [Unpublished doctoral dissertation]. The University of Zambia. https://dspace.unza.zm/server/api/core/bitstreams/2eff77b9-2705-4696-b1f8-b672c9e21a4f/content

Downloads

Published

2024-12-04

How to Cite

Olaseni, V. M., & Saziwa, T. (2024). Impact of Error Analysis Techniques on Mathematics’ Assimilation among a Cohort of Struggling Secondary School Students. Futurity Education, 4(4), 227–239. https://doi.org/10.57125/FED.2024.12.25.15