Research article

Assessment of content and cognitive dimensions of learners' mathematics performance


  • Published: 04 April 2025
  • This study examined the misalignment between cognitive development and mathematics education in senior secondary schools. Using an ex post facto research design and a descriptive survey approach, data were collected from the Senior Secondary Mathematics Achievement Test (SSMAT), which showed a strong reliability coefficient (r = 0.89). The analysis, which included descriptive statistics and independent sample t-tests, revealed that gender does not have a significant impact on student's performance in SSS2 mathematics across different content areas (number and numeration, algebra, geometry, and everyday statistics) and cognitive dimensions (recall, conceptual understanding, and reasoning). The results highlight the need for a comprehensive approach to mathematics education that balances content coverage and the development of cognitive skills. Addressing this misalignment can improve students' ability to creatively apply mathematical concepts, think critically, and effectively communicate their mathematical ideas, ultimately enhancing overall academic achievement. Our study identifies clear gaps in current educational assessment methods, emphasizing the importance of focusing on content and cognitive dimensions. The results will assist in developing targeted instructional strategies that align with cognitive demands, improve teaching effectiveness, and inform educational policy to enhance student outcomes in mathematics.

    Citation: Joshua Oluwatoyin Adeleke, Hameed Adedeji Balogun, Musa Adekunle Ayanwale. Assessment of content and cognitive dimensions of learners' mathematics performance[J]. STEM Education, 2025, 5(3): 383-400. doi: 10.3934/steme.2025019

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  • This study examined the misalignment between cognitive development and mathematics education in senior secondary schools. Using an ex post facto research design and a descriptive survey approach, data were collected from the Senior Secondary Mathematics Achievement Test (SSMAT), which showed a strong reliability coefficient (r = 0.89). The analysis, which included descriptive statistics and independent sample t-tests, revealed that gender does not have a significant impact on student's performance in SSS2 mathematics across different content areas (number and numeration, algebra, geometry, and everyday statistics) and cognitive dimensions (recall, conceptual understanding, and reasoning). The results highlight the need for a comprehensive approach to mathematics education that balances content coverage and the development of cognitive skills. Addressing this misalignment can improve students' ability to creatively apply mathematical concepts, think critically, and effectively communicate their mathematical ideas, ultimately enhancing overall academic achievement. Our study identifies clear gaps in current educational assessment methods, emphasizing the importance of focusing on content and cognitive dimensions. The results will assist in developing targeted instructional strategies that align with cognitive demands, improve teaching effectiveness, and inform educational policy to enhance student outcomes in mathematics.



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    [1] Ayanwale, M.A., Efficacy of item response theory in the validation and score ranking of dichotomous and polytomous response mathematics achievement tests in Osun State, Nigeria. Nigeria. doi, 2019.
    [2] National Council of Teachers of Mathematics, Principles to Actions: Ensuring Mathematical Success for All. Reston, VA: NCTM, 2020.
    [3] Ayanwale, M.A., Calibration of polytomous response mathematics achievement test using generalized partial credit model of item response theory. EDUCATUM Journal of Science, Mathematics and Technology, 2021, 8(1): 57‒69. https://doi.org/10.37134/ejsmt.vol8.1.7.2021 doi: 10.37134/ejsmt.vol8.1.7.2021
    [4] Borko, H., Jacobs, J. and Koellner, K., Challenges and promises of using video to study and support teacher learning in mathematics. ZDM Mathematics Education, 2019, 51(5): 779‒792.
    [5] Akinboboye, J.T. and Ayanwale, M.A., Bloom taxonomy usage and psychometric analysis of classroom teacher made test. African Multidisciplinary Journal of Development, 2021, 10(1): 10‒21. https://doi.org/10.4038/kjms.v3i2.25 doi: 10.4038/kjms.v3i2.25
    [6] Peng, P. and Kievit, R.A., The development of academic achievement and cognitive abilities: A bidirectional perspective. Child Development Perspectives, 2021, 14(1): 15–20. https://doi.org/10.1111/cdep.12352 doi: 10.1111/cdep.12352
    [7] Bergsten, C., Critical factors and prognostic validity in mathematics assessment. ICTM2, at Crete, 2002.
    [8] Brown, R.G., Does the introduction of the graphics calculator into systemwide examinations lead to change in the types of mathematical skills tested? Educational Studies in Mathematics, 2010, 73(2): 181‒203. https://doi.org/10.1007/s10649-009-9220-2 doi: 10.1007/s10649-009-9220-2
    [9] Tan, K., Assessment for learning in Singapore: unpacking its meanings and identifying some areas for improvement. Educational Research for Policy and Practice, 2011, 10(2): 91‒103. https://doi.org/10.1007/s10671-010-9096-z doi: 10.1007/s10671-010-9096-z
    [10] Li, Q. and Ma, X., A meta-analysis of the effects of computer technology on school students' mathematics learning. Educational Psychology Review, 2010, 22(3): 215–243. https://doi.org/10.1007/s10648-010-9125-8 doi: 10.1007/s10648-010-9125-8
    [11] Hiebert, J. and Grouws, D.A., The Effects of Classroom Mathematics Teaching on Students' Learning. In F. Lester (Ed.), Second Handbook of Research on Mathematics Teaching and Learning, 2007,371‒404. Charlotte, NC: Information Age.
    [12] National Council of Teachers of Mathematics, (Principles and standards for school mathematics. Reston, VA: National Council of Teachers of Mathematics, 2000.
    [13] National Research Council, Adding it up: Helping children learn mathematics. J. Kilpatrick, J. Swafford, and B. Findell (Eds.). Mathematics Learning Study Committee, Center for Education, Division of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press, 2001. Retrieved from: http://www.nap.edu/catalog/9822.html.
    [14] Gunawan, W. and Hadi, S., The effect of a Realistic Mathematics Education (RME) approach and reasoning ability on students' conceptual and procedural understanding. Contemporary Educational Researches Journal, 2024, 14(2): 90‒102. https://doi.org/10.18844/cerj.v14i2.9318 doi: 10.18844/cerj.v14i2.9318
    [15] Ding, M., Hassler, R. and Li, X., Cognitive instructional principles in elementary mathematics classrooms: A case of teaching inverse relations. International Journal of Mathematical Education in Science and Technology, 2021, 52(8): 1195–1224. https://doi.org/10.1080/0020739X.2020.1749319 doi: 10.1080/0020739X.2020.1749319
    [16] Layne, T., Yli-Piipari, S. and Knox, T., Physical activity break program to improve elementary students' executive function and mathematics performance. Education 3-13, 2021, 49(5): 583–591. https://doi.org/10.1080/03004279.2020.1746820 doi: 10.1080/03004279.2020.1746820
    [17] Anderson, K., Gong, X., Hong, K. and Zhang, X., The impacts of transition to middle school on student cognitive, non-cognitive and perceptual developments: Evidence from China. Education Economics, 2020, 28(4): 384–402. https://doi.org/10.1080/09645292.2020.1749234 doi: 10.1080/09645292.2020.1749234
    [18] Shen, Z., Tan, S. and Siau, K., Use of mental models and cognitive maps to understand students' learning challenges. Journal of Education for Business, 2019, 94(5): 281–289. https://doi.org/10.1080/08832323.2018.1527748 doi: 10.1080/08832323.2018.1527748
    [19] Trinidad, J.E., Understanding student-centred learning in higher education: Students' and teachers' perceptions, challenges, and cognitive gaps. Journal of Further and Higher Education, 2020, 44(8): 1013–1023. https://doi.org/10.1080/0309877X.2019.1636214 doi: 10.1080/0309877X.2019.1636214
    [20] Makar, K., Ben-Zvi, D. and Bakker, A., (Eds.) International handbook of statistical reasoning, Springer, 2020.
    [21] Arigbabu, A.A. and Mji, A., Is gender a factor in mathematics performance among Nigerian pre-service teachers? Sex Roles, 2004, 51(11): 749–753. doi: 10.1007/s11199-004-0724-z. doi: 10.1007/s11199-004-0724-z
  • Author's biography Joshua Oluwatoyin Adeleke is currently lecturing at the University of the Gambia, The Gambia, and he is the Expert piloting the implementation of Benchmark Minimum Academic Standards in all the Universities in The Gambia. He was the immediate past Head of the International Centre for Educational Evaluation, Institute of Education, University of Ibadan. He obtained his first degree in Mathematics with Education at the University of Ilorin, Nigeria in 1994, his master degree in Guidance and Counseling and his doctorate degree in Educational Evaluation from the University of Ibadan in 2000 and 2007 respectively. He is a member of ARUA Urbanisation and Habitable Cities Team (ACEUHCT), Global Education Network (GEN), Educational Assessment & Research Network in Africa (EARNiA) and Association of Educational Researchers and Evaluators of Nigeria (ASSEREN); Balogun Hameed Adedeji is a researcher and educator with a Master's degree in Educational Evaluation and a Bachelor's degree in Educational Management. He currently serves as a teacher under the Oyo State Universal Basic Education Board (OYO SUBEB). His research interests focus on educational evaluation, STEM and school administration. He is a member of Educational Evaluators and Nigeria Union of Teachers (NUT); Musa Adekunle Ayanwale, PhD is currently a senior postdoctoral research fellow at the Department of Mathematics, Science, and Technology Education, University of Johannesburg, South Africa. He holds a PhD in educational research, measurement, and evaluation credentials him as an expert in the field of assessment and psychometrics. His research interests include test theories, instrument development and validation, psychometrics, generalizability theory-based reliability analyses and evaluations, artificial intelligence in education, Q-Methodology, bibliometric and meta-analysis, application of machine learning algorithm in education, structural modelling, and computerized adaptive testing. He is a member of numerous learned societies, including Psychometric Society, Association of Behavioural Research Analysts and Psychometricians, Educational Assessment and Research Network in Africa, Teacher's Registration Council of Nigeria, Association of Assessment of Learning in Higher Education, Association of Educational Researchers and Evaluators of Nigeria, and the International Association for Computerized Adaptive Testing, among others
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