Assessing Cognitive Alignment in Pre-Tertiary TVET Core Mathematics: A Ghanaian Case Study of Curriculum and Exit Examination
Abstract
Mathematics plays a crucial role in pre-tertiary education, especially within STEM disciplines, where mastery of it enhances success in finance, engineering, and technology. Poor performance in the subject continues to delimit many pre-tertiary TVET learners. In our quest to find a lasting solution to this menace, many studies have been conducted to improve performance, but the problem persists in Ghana. What is yet to be done at the pre-tertiary TVET level is checking the alignment of the exit examinations with its curriculum. This study, therefore, investigates the cognitive alignment between Ghana’s pre-tertiary TVET core mathematics curriculum and its exit examinations from 2011 to 2023. Using Webb’s Depth of Knowledge (DOK) framework and Porter’s Alignment Model, this study employs a pragmatic paradigm within a mixed-methods, and a convergent parallel design was used to gather both qualitative and quantitative. Eleven out of 13 exit examinations were randomly selected for content analysis. Data collection involved researcher-designed specification tables to categorize the cognitive demand levels of both the curriculum standards and examination questions. Content validity was established using the Item-Level Content Validity Index (I-CVI), yielding values of 0.89 and 0.91. Construct validity was confirmed with convergent validity (r = 0.78) and discriminant validity (r = 0.24), while inter-rater reliability, measured using Cohen’s kappa (κ = 0.83, p < 0.000), indicated strong agreement in coding cognitive demand levels. The findings revealed that Paper 1 (multiple-choice) primarily assessed lower-order cognitive skills (DOK 1 and 2), whereas Paper 2 (constructed response) focused on higher-order thinking (DOK 2, 3, and occasionally 4). Cognitive alignment fluctuated across years, with the highest alignment index recorded in 2011 (0.819) and the lowest in 2019 (0.594). A weak positive correlation (r = 0.241, p = 0.474) between alignment and pass rate suggests that alignment alone does not strongly predict learner performance. The study recommends improving curriculum-examination alignment, ensuring a balanced representation of cognitive demand levels, and enhancing item development processes to better support learner achievement.
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Ahmed, S., & Douglas, R. (2019). Success in employers’ numeracy tests. MSOR Connections, 17(2), 25– 28. https://doi.org/10.21100/MSOR.V17I2.983
Arthur, Y.D., Dogbe, C.S.K. & Asiedu-Addo, S.K. (2022). Enhancing performance in mathematics through motivation, peer-assisted learning, and teaching quality: the mediating role of student interest. EURASIA Journal of Mathematics, Science and Technology Education, 18(2), https://doi.org/10.29333/ejmste/11509
Asante, J. K., & Amponsah, S. (2021). Alignment of curriculum and assessment: Implications for mathematics education in Ghana. Journal of Education and Practice, 12(3), 45-54.
Bhatti, A. J., Shah, M. A., & Hussain, M. (2022). Improving methods of measuring curriculum alignment. Journal of Computing & Biomedical Informatics, 3(2), https://doi.org/10.56979/302/2022/54
Bhaw, N. & Kriek, J. (2020). The alignment of the Grade 12 physics examination with the CAPS curriculum: (November 2014-March 2018). South African Journal of Education, 40 (1), https://doi.org/10.15700/saje.v40n1a1676.
Boafo, F. A. (2017). The impact of mathematics on academic performance of students in TVET institutions in Ghana. African Journal of Applied Research, 2(2), 110-120
Brookhart, S. M. (2010). How to assess higher-order thinking skills in your classroom. ASCD.
Cochran, W.G. (1977). Sampling Techniques (3rd ed.). New York: John Wiley & Sons.
Commission for Technical and Vocational Education and Training (COTVET) (2020). Competency Based Training (CBT) Programme for Mathematics.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Davis, E., Seah, W., Howard, N., & Wilmot, E. (2021). The attributes of mathematics learning which Ghanaian senior high school students value. Journal of Global Education and Research, 5(1), 1- 14. https://www.doi.org/10.5038/2577-509X.5.1.1096
Dogbey, J., & Dogbey, J. (2016). Depth of knowledge and context characteristics of the West African Examination Council’s Core Mathematics assessment – the case of Ghana from 1993 – 2013. Assessment in Education: Principles, Policy & Practice, DOI: 10.1080/0969594X.2016.1192524
Elsherbiny, N. (2019). Applying Alignment to Improve the Effectiveness of CS Education. Technical Symposium on Computer Science Education, 1295. https://doi.org/10.1145/3287324.3293705
Fang, Q., Nguyen, D., & Oberski, D. L. (2022). Evaluating the construct validity of text embeddings with application to survey questions. arXiv preprint arXiv:2202.09166.
Fokuo, M. O., Lassong, B. S., & Kwasi, S. F. (2022). Students’ Poor Mathematics Performance in Ghana: Are There Contributing Factors? Asian Journal of Education and Social Studies, 30(4), 16–21. https://doi.org/10.9734/ajess/2022/v30i430729
Forte, E. (2017). Evaluating Alignment in Large-scale Standards-Based Assessment Systems. Council of Chief State School Officers, Washington, DC.
Frempong, M., & Asare-Bediako, M. (2016). Performance Assessment of Mathematics and Statistics Students of a Tertiary Institution in Ghana. Mathematical Theory and Modeling, 6(6), 135– 142. https://www.iiste.org/Journals/index.php/MTM/article/download/31434/32274
Gamoran, A., Porter, A. C., Smithson, J., & White, P. A. (1997). Upgrading high school mathematics instruction: Improving learning opportunities for low-achieving, low-income youth. Educational Evaluation and Policy Analysis, 19(4), 325–338. https://doi.org/10.3102/01623737019004325
Ganyo, R., Issah, P., & Armah, B. N. A. (2024). Tackling Mathematics Underperformance: A Roadmap for SOS Herman Gmeiner School in Asiakwa. International Journal of Research and Innovation in Social Science, VIII(XI), 128–143. https://doi.org/10.47772/ijriss.2024.81100011
Ghahramanian, A., Rezaei, T., Abdullahzadeh, F., Sheikhalipour, Z., & Bahrami, N. (2015). Design and implementation content validity study: Development of an instrument for measuring patient-centered communication. Journal of Caring Sciences, 4(2), 165–178
Kober, N. (2018). Revisiting the Relationship Between Education Policies and Student Achievement. Brookings Institution Press.
Kuranchie, A. (2021). Research Made Easy (3rd ed.). Bookworm Publications, Kumasi.
Li, Y., Hodge, A., & Becker, J. (2020). Curriculum alignment in mathematics education: Examining impacts on student achievement. International Journal of Educational Research, 99, 101533.
Liu, Y., & Liu, X. (2018). Longitudinal trends in mathematics achievement: Examining alignment between curriculum and assessment. Journal of Educational Measurement, 55(3), 327-343.
Maass, K., Geiger, V., Romero Ariza, M., & Goos, M. (2019). The Role of Mathematics in interdisciplinary STEM education. Zdm, 51(6), 869–884. https://doi.org/10.1007/S11858-019-01100-5
Martone, A. & Sireci, S. G. (2009). Evaluating alignment between curriculum, assessment, and instruction. Review of Educational Research, 79(4), 1332-1361.
Matthews, R., & Kyi, W. W. (2019). Alignment between the learning objectives and examination: a comparative analysis of high-school physics curricular in Myanmar and South Australia. Scholars Bulletin, 5(11), 671 – 680.
Mensah, K., Amankwah, J., & Opoku, R. (2023). Indigenous games as tools for mathematics instruction: The case of "Alikoto." Ghanaian Journal of Mathematics Education, 27(2), 112-128.
Negida, A., Fahim, N. K., & Negida, Y. (2017). Sampling Methods in Clinical Research: An Educational Review. Emergency, 5(1), e52
Oates, T. (2011). Could do better: Using international comparisons to refine the National Curriculum in England. Curriculum Journal, 22(2), 121– 150. https://doi.org/10.1080/09585176.2011.574993
Polikoff, M. S. (2012a). The association of state assessments with student achievement in elementary and middle schools. American Educational Research Journal, 49(5), 925–960. https://doi.org/10.3102/0002831212448656
Polikoff, M. S. (2012b). The association of state policy attributes with teachers' instructional alignment. Educational Evaluation and Policy Analysis, 34(3), 278– 294. https://doi.org/10.3102/0162373711431302
Polikoff, M. S. (2017). The challenges of aligning classroom instruction and assessments with standards. Review of Educational Research, 87(4), 679- 711. https://doi.org/10.3102/0034654317703922
Polikoff, M. S., Porter, A. C., & Smithson, J. (2011). How well aligned are state assessments of student achievement with state content standards? American Educational Research Journal, 48(4), 965–995. https://doi.org/10.3102/0002831211404435
Porter, A. C. (2002). Measuring the content of instruction: Uses in research and practice. Educational Researcher, 31(7), 3–14. https://doi.org/10.3102/0013189X031007003
Qhibi, A. D., Dhlamini, Z. B., & Chuene, K. (2020). Investigating the strength of alignment between senior phase mathematics content standards and workbook activities on number patterns. Pythagoras-Journal of the Association for Mathematics Education of South Africa, http://pythagoras.org.za
Rothstein, R. (2017). The Colour of Law: A Forgotten History of How Our Government Segregated America. Liveright Publishing.
Vasilev, I. (2024). The Model “SMART”- an Innovation for Achieving Future Success in TVET Students: An Empirical Study. International Journal of Current Science Research and Review, 07(12). https://doi.org/10.47191/ijcsrr/v7-i12-17
Webb, N. L. (1997). Criteria for alignment of expectations and assessments in mathematics and science education. Research Monograph No. 6. Council of Chief State School Officers.
Webb, N. L. (1997). Determining alignment of expectations and assessments in mathematics and science education. NISE Brief, 1(2), 1–8.
Webb, N. L. (2007). Issues related to judging the alignment of curriculum standards and assessments. Applied Measurement in Education, 20(1), 7– 25. https://doi.org/10.1080/08957340709336738
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