Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods

Emmanuel Deogratias; Gadde S. Rao; Filbert Alphonce

doi:10.29333/mathsciteacher/14996

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Emmanuel Deogratias ¹ ^* , Gadde S. Rao ² , Filbert Alphonce ² ^*

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¹ Sokoine University of Agriculture, TANZANIA² The University of Dodoma, TANZANIA^* Corresponding Author

Abstract

This paper focuses on evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods. This quantitative study involved 240 students and conducted in ordinary secondary schools in the Mbulu district. Minitab statistical software was used to analyze collected students’ performance by comparing fixed grading method with individual control charts grade. The findings revealed that a large number of students performed well using individual control chart than the fixed grading method. The findings imply that individual control chart grade was higher and practical method in evaluating students’ performance because of lowering the cut-off point of the performance for the individual student. Therefore, school teachers can use individual control chart grading method for improving individual student performance in each subject.

Keywords

individual control chart
students’ performance evaluation
fixed grading method
quantitative study and secondary schools

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

Journal of Mathematics and Science Teacher, Volume 4, Issue 3, 2024, Article No: em070

https://doi.org/10.29333/mathsciteacher/14996

Publication date: 23 Aug 2024

Article Views: 131

Article Downloads: 101

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References

Akessa, M., & Dhufera, G. (2015). Factors that influences students academic performance: A case of Rift Valley University. Journal of Education and Practice, 6(22), 55-63.
Akinrefon, A., & Balogun, S. (2014). Use of shewart control chart technique in monitoring student performance. Bulgarian Journal of Science and Education Policy, 8(2), 311-324.
Ali, N., Jusof, K., Ali, S., Mokhtar, N., & Salamat, A. (2009). The factors influencing students’ performance at universiti teknologi mara kedah, malaysia. Management Science and Engineering, 3(4), 81-90.
Beshah, B. (2012). Students’ performance evaluation using statistical quality control. International Journal of Science and Advanced Technology, 2(12), 75-79. https://doi.org/10.5121/ijait.2012.2107
Biswas, R. K., Masud, M. S., & Kabir, E. (2015, January). Shewhart control chart for individual measurement: An application in a weaving mill. In Proceedings of the 2015 Melbourne International Business and Social Science Research Conference (pp. 1-16). University of Southern Queensland.
David, N. M. (2014). Determinants of poor academic performance of secondary school students in Sumbawanga district, Tanzania [Doctoral dissertation, Sokoine University of Agriculture].
Dzana, E. N. (2012). Poor performance in science subjects in Malawi. University of Malawi.
Fallis, G. (2013). Rethinking higher education: Participation, research, and differentiation. McGill-Queens University.
Filbert, A., Rao, S. & Deogratias, D. (2022). Students’ performance evaluation for secondary school in Mbulu district using mean and dispersion charts grade and fixed grading method. Biometrics and Biostatistics International Journal, 11(1), 152-157. https://doi.org/10.15406/bbij.2022.11.00370
Gay, R. (2018). Educational evaluation and measurement: Competencies for analysis and applications. CE Merill Publishing Company.
Guskey, R., & Pollio, R. (2012). Grading systems. Encyclopedia of Education.
Hrynkevych, S. (2017). Statistical analysis of higher education quality with use of control charts. Advanced Science Letters, 23(10), 10070-10072. https://doi.org/10.1166/asl.2017.10390
Inglis, A. (2008). Approaches to the validation of quality frameworks for e-learning. Quality Assurance in Education, 16(4), 347-362. https://doi.org/10.1108/09684880810906490
Kambuga, Y., & Dadi, H. (2015). School inspection in Tanzania as a motor for education quality: Challenges and possible way forward. Review of knowledge economy, 2(1), 1-13. https://doi.org/10.18488/journal.67/2015.2.1/67.1.1.13
Kaur, S., & Batra, R. (2019). Assessing faculty perception towards total quality management of education sector in Punjab. International Journal of Recent Technology and Engineering, 8(3), 7832-7843. https://doi.org/10.35940/ijrte.C6034.098319
Kotz, S., & Johnson, L. (2011). Leading personalities in statistical sciences: From the seventeenth century to the present. John Wiley & Sons.
Kumar, R. (2018). Research methodology: A step-by-step guide for beginners. SAGE.
Montgomery, D. C. (2020). Introduction to statistical quality control. John Wiley & Sons.
Moser, M. (2019). Statistical process control as an instrument for generating competitive advantages. Gazdaság és Társadalom, 2018(2), 83-100. https://doi.org/10.21637/GT.2018.02.05
Motanya, J. O. (2011). Factors affecting students’ performance in Kenya certificate of secondary examinations: The case of Mandera East District [Doctoral dissertation, University of Nairobi, Kenya].
Nandedkar, T., & Bhati, G. (2021). Assessment of academic performance through SQC: An application of control charts. In Interdisciplinary research in technology and management (pp. 76-81). CRC Press. https://doi.org/10.1201/9781003202240-13
Ndyali, L. (2016). Higher education system and jobless graduates in Tanzania. Journal of Education and Practice, 7(4), 116-121.
Dinglasan, B. L., & Patena, A. (2013). Students performance on departmental examination: Basis for math intervention program. University of Alberta.
Paulo, A., & Tilya, F. (2014). The 2005 secondary school curriculum reforms in Tanzania: Disjunction between policy and practice in its implementation. Journal of Education and Practice, 5(35), 114-122.
Peterson, S. J. (2015). Benchmarking student learning outcomes using Shewhart control charts. In 51st ASC Annual International Conference Proceedings (pp. 76-81). Associated Schools of Construction.
Saqib, M., & Rehman, U. (2018). Impact of stress on students academic performance at secondary school level at Vehari. International Journal of Learning and Development, 8(1), 84-93. https://doi.org/10.5296/ijld.v8i1.12063
Sieber, E. (2014). The ethics of social research: Surveys and experiments. Springer Science & Business Media.
Stebbins, A. (2017). The meaning of academic performance: How teachers define a classroom situation. Routledge. https://doi.org/10.4324/9781315213682-2
Stufflebeam, L., & Coryn, S. (2014). Evaluation theory, models, and applications. John Wiley & Sons.
Tavakoli, H. (2012). A dictionary of research methodology and statistics in applied linguistics. Rahnama press.
Woodall, H. (2017). Bridging the gap between theory and practice in basic statistical process monitoring. Quality Engineering, 29(1), 2-15.
Zacharia, C. (2018). Evaluation of secondary schools students performance in Igunga district by using statistical quality control methods (pp. 3-9). The University of Dodoma.

How to cite this article

APA

Deogratias, E., Rao, G. S., & Alphonce, F. (2024). Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods. Journal of Mathematics and Science Teacher, 4(3), em070. https://doi.org/10.29333/mathsciteacher/14996

Vancouver

Deogratias E, Rao GS, Alphonce F. Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods. Journal of Mathematics and Science Teacher. 2024;4(3):em070. https://doi.org/10.29333/mathsciteacher/14996

AMA

Deogratias E, Rao GS, Alphonce F. Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods. Journal of Mathematics and Science Teacher. 2024;4(3), em070. https://doi.org/10.29333/mathsciteacher/14996

Chicago

Deogratias, Emmanuel, Gadde S. Rao, and Filbert Alphonce. "Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods". Journal of Mathematics and Science Teacher 2024 4 no. 3 (2024): em070. https://doi.org/10.29333/mathsciteacher/14996

Harvard

Deogratias, E., Rao, G. S., and Alphonce, F. (2024). Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods. Journal of Mathematics and Science Teacher, 4(3), em070. https://doi.org/10.29333/mathsciteacher/14996

MLA

Deogratias, Emmanuel et al. "Evaluating students’ performance in mathematics and other subjects using fixed and individual control chart grading methods". Journal of Mathematics and Science Teacher, vol. 4, no. 3, 2024, em070. https://doi.org/10.29333/mathsciteacher/14996