Analysing the Effectiveness of Short-Term Mathematics Program: In the Case of “Rekreasi Matematik Melalui Alam”.
Keywords:
Performance assessment, Non-parametric methods, Mathematics program, short-term programAbstract
Analysing the effectiveness of a short-term program is crucial in ensuring its success and impact. By conducting an analysis, we can determine if the program has achieved its intended outcomes, identify areas for improvement, and make necessary adjustments. One of the significant methods can be used to analyse that kind of effective is statistical analysis. Using statistical analysis to analyse a program's effectiveness can provide a more objective and accurate assessment. Hence, this study aimed to assess the effectiveness of a mathematics short-term program known as “Rekreasi Matematik Melalui Alam” by analyzing the data collected using various non-parametric statistical methods. It was found that the program has given a positive outcome to participants’ performance in Mathematics. The method of Man Whitney test shows that there was significant difference of score for gender where female obtaining higher scores in both tests. Meanwhile in Kruskal Wallis test find out that post-test has no significance difference between pre-test score among schools but vice versa for post-test score. It showed signifying that the program fairly contributes to all students from various backgrounds. Wilcoxon Signed Rank test results prove that a student's performance has increased after participating in the program although it is only for a short term. By applying different approaches to study make students understand better and can avoid boredom among them. Besides, relating mathematics along with real life examples could give awareness about the importance of Mathematics.
References
Alhusseini, N., & Alqahtani, A. (2020). COVID-19 pandemic’s impact on eating habits in Saudi Arabia. In Journal of Public Health Research (Vol. 9).
Baxter, G. P., Shavelson, R. J., Herman, S. J., Brown, K. A., & Valadez, J. R. (1993). Mathematics Performance Assessment: Technical Quality and Diverse Student Impact. Journal for Research in Mathematics Education, 24(3), 190. https://doi.org/10.2307/749344
Best, J., & Winslow, E. (2015). Curriculum-Embedded Performance Assessments (CEPAs): Policy considerations for meaningful accountability. McREL INTERNATIONAL. https://www.mcrel.org
Bewick, V., Cheek, L., & Ball, J. (2004). Statistics review 9: One-way analysis of variance. In Critical Care (Vol. 8, Issue 2, pp. 130–136). https://doi.org/10.1186/cc2836
Capanu, M., Jones, G. A., & Randles, R. H. (2006). Testing for preference using a sum of Wilcoxon signed rank statistics. Computational Statistics and Data Analysis, 51(2), 793–796. https://doi.org/10.1016/j.csda.2005.12.017
Constantine, N. A., Jerman, P., Berglas, N. F., Angulo-Olaiz, F., Chou, C. P., & Rohrbach, L. A. (2015). Short-term effects of a rights-based sexuality education curriculum for high-school students: A cluster-randomized trial. BMC Public Health, 15(1). https://doi.org/10.1186/s12889-015-1625-5
Dierckx de Casterle, B., Gastmans, C., Bryon, E., & Denier, Y. (2012). QUAGOL: A guide for qualitative data analysis. International Journal of Nursing Studies, 49(3), 360–371. https://doi.org/10.1016/j.ijnurstu.2011.09.012
Education Issues Series (1996, September). Performance Assessment. Wisconsin Education Association Council. https://weac.org
French, D. (2017). The Future Is Performance Assessment. The Future Is Performance Assessment, Voices in Urban Education, 6–13.
García Perales, R., & Palomares Ruiz, A. (2021). Comparison Between Performance Levels for Mathematical Competence: Results for the Sex Variable. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.663202
Gleason, J. (2013). Comparative Power Of The Anova, Randomization Anova, And Kruskal-Wallis Test. http://digitalcommons.wayne.edu/oa_dissertations
Guo, S., Zhong, S., & Zhang, A. (2013). Privacy-preserving Kruskal-Wallis test. Computer Methods and Programs in Biomedicine, 112(1), 135–145. https://doi.org/10.1016/j.cmpb.2013.05.023
Habsy, B. A., Hidayah, N., Lasan, B. B., Muslihati, & Fudholi, A. (2019). The development model of semar counselling to improve the self-esteem of vocational students with psychological distress. International Journal of Emerging Technologies in Learning, 14(10), 132–149. https://doi.org/10.3991/ijet.v14i10.10221
Hecke, T. van. (2012). Power study of anova versus Kruskal-Wallis test. Journal of Statistics and Management Systems, 15(2–3), 241–247. https://doi.org/10.1080/09720510.2012.10701623
Hodges, J. L., & Lehmann, E. L. (2012). Rank Methods for Combination of Independent Experiments in Analysis of Variance. In Selected Works of E. L. Lehmann (pp. 403–418). Springer US. https://doi.org/10.1007/978-1-4614-1412-4_35
Hoffman, P., Goodwin, B., Kahl McREL, S., Schneider, J., Feldman, J., & French, D. (2017). To learn more Performance Assessment: Fostering the Learning of Teachers and Students Re-balancing assessment: Placing formative and perfor-mance assessment at the heart of learning and accountability The Best of Both Worlds (Vol. 2017, Issue 46). Annenberg Institute. http://bit.ly/2uZnjnd
Kim, H.-Y. (2014). Statistical notes for clinical researchers: Two-way analysis of variance (ANOVA)-exploring possible interaction between factors. Restorative Dentistry & Endodontics, 39(2), 143. https://doi.org/10.5395/rde.2014.39.2.143
Kyun Kim, T. (2015). T test as a parametric statistic. 540–546. https://doi.org/https://doi.org/10.4097/kjae.2015.68.6.540
Marjan, M.-H., Vanak, S., St, Z., Rezaee, N., Mardani-Hamooleh, M., & Seraji, M. (2020). Nurses’ perception of ethical challenges in caring for patients with COVID-19: a qualitative analysis *Corresponding Author. In Original Article (Vol. 13).
Mortazavi, F., Salehabadi, R., Sharifzadeh, M., & Ghardashi, F. (2021). Students’ perspectives on the virtual teaching challenges in the COVID-19 pandemic: A qualitative study. Journal of Education and Health Promotion, 10(1). https://doi.org/10.4103/jehp.jehp_861_20
Octaviani Putri, H., & Muchyidin, A. (2022). The Comparison of Students Mathematics Learning Outcomes Between Using Performance Assessment and Self-assessment. Journal of Mathematics Instruction, Social Research and Opinion, 1(2), 11–19.
Ostertagová, E., Ostertag, O., & Kováč, J. (2014). Methodology and application of the Kruskal-Wallis test. Applied Mechanics and Materials, 611, 115–120. https://doi.org/10.4028/www.scientific.net/AMM.611.115
Oti, E. U., Olusola, M. O., & Esemokumo, P. A. (2021). Statistical Analysis of the Median Test and the Mann-Whitney U Test. In International Journal of Advanced Academic Research |: Vol. ISSN (Issue 9). www.ijaar.org
Prokop, P., Tuncer, G., & Kvasničák, R. (2007). Short-term effects of field programme on students’ knowledge and attitude toward biology: A Slovak experience. Journal of Science Education and Technology, 16(3), 247–255. https://doi.org/10.1007/s10956-007-9044-8
Riesmiyatiningdyah, R., Putra, K. W. R., & Sulistyowati, A. (2021). THE EFFECT OF HEALTH EDUCATION ON ADOLESCENT KNOWLEDGE ABOUT ANEMIA. Nurse and Health: Jurnal Keperawatan, 10(1), 59–64. https://doi.org/10.36720/nhjk.v10i1.273
Rubarth, K., Sattler, P., Zimmermann, H. G., & Konietschke, F. (2022). Estimation and Testing of Wilcoxon–Mann–Whitney Effects in Factorial Clustered Data Designs. Symmetry, 14(2). https://doi.org/10.3390/sym14020244
Safie, N. B., Zakaria, S., Madhihah, S., Malik, A., Baini Ismail, N., Alias, A., & Idris, R. (n.d.). Statistical Analysis on the effectiveness of short-term programs during Covid-19 pandemic: In the case of “Program Bijak Sifir 2020.”
Schober, P., & Vetter, T. R. (2020). Statistical Minute Nonparametric Statistical Methods in Medical Research. www.anesthesia-analgesia.org
Sonja Singh, A., Jeannette Maidy Chin Paw, M. A., Brug, J., & van Mechelen, W. (2007). Short-term Effects of School-Based Weight Gain Prevention Among Adolescents. In Arch Pediatr Adolesc Med (Vol. 161).
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Journal of Mathematical Sciences and Informatics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
