Unveiling Student Perspectives: Challenges and Insights on the Ordinary Level Examination
DOI:
https://doi.org/10.70232/jrep.v3i1.127Keywords:
Ordinary Level Examination, Student Perceptions, Question Difficulty, Time ManagementAbstract
The Ordinary Level (O/L) examination in Sri Lanka plays a crucial role in shaping students’ academic progression and career opportunities. This study investigates students’ perceptions of O/L exam questions, focusing on question difficulty, time management, question type preferences, and the impact of tuition classes. A mixed-methods approach was employed, using quantitative data from a sample of 318 students through descriptive and inferential statistics, alongside qualitative insights from thematic analysis. Results show that 32% of students faced difficulties with unclear questions, negatively affecting their confidence and performance. A significant correlation was found between tuition attendance and increased exam confidence, with 95% of students attributing improved preparedness to supplementary education. However, this also raises concerns about equity, as access to tuition varies by gender and socio-economic background. Time management was a major challenge, as 34% of students reported running out of time during exams. Additionally, 65% of students preferred long-answer questions, which allowed for more in-depth expression, while 60% found multiple-choice and structured questions challenging. The study highlights the need for greater clarity in exam questions, equal access to preparatory resources, and integration of time management training in school curricula. These findings emphasize the urgency of reforming the assessment system to ensure fairness, reduce stress, and better align with students’ learning needs and abilities.
References
Allen, N. (2021). A case study of student perceptions of instructional tutoring and student self-efficacy. Northcentral University. https://www.proquest.com/openview/071cbae1ee23be3122e3dbceaa34a991/1.pdf?pq-origsite=gscholar&cbl=18750&diss=y
Allsop, D. B., Chelladurai, J. M., Kimball, E. R., Marks, L. D., & Hendricks, J. J. (2022). Qualitative methods with Nvivo software: A practical guide for analyzing qualitative data. Psych, 4(2), 142-159. https://doi.org/10.3390/psych4020013
Andrews, R. J., Imberman, S. A., & Lovenheim, M. F. (2020). Recruiting and supporting low-income, high-achieving students at flagship universities. Economics of Education Review, 74, 101923. https://doi.org/10.1016/j.econedurev.2019.101923
Baker, R., Xu, D., Park, J., Yu, R., Li, Q., Cung, B., & Smyth, P. (2020). The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes. International Journal of Educational Technology in Higher Education, 17, 1-24. https://doi.org/10.1186/s41239-020-00187-1
Brauer, M., Wiersema, M., & Binder, P. (2023). “Dear CEO and board”: How activist investors’ confidence in tone influences campaign success. Organization Science, 34(4), 1487-1508. https://doi.org/10.1287/orsc.2022.1625
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58. https://doi.org/10.1177/1529100612453266
Fong, H. (2023). Using mixed methods to explore test anxiety in young people with learning difficulties (Doctoral dissertation, University of Birmingham). http://etheses.bham.ac.uk/id/eprint/12982
Harrison, R. L., Reilly, T. M., & Creswell, J. W. (2020). Methodological rigor in mixed methods: An application in management studies. Journal of mixed methods research, 14(4), 473-495. https://doi.org/10.1177/1558689819900585
Holloway, S. L., & Pimlott‐Wilson, H. (2020). Marketising private tuition: Representations of tutors’ competence, entrepreneurial opportunities and service legitimation in home tutoring business manuals. British Educational Research Journal, 46(1), 205-221. https://doi.org/10.1002/berj.3575
Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M. & Vedel, I. (2019). Improving the content validity of the mixed methods appraisal tool: a modified e-Delphi study. Journal of Clinical Epidemiology, 111, 49-59. https://doi.org/10.1016/j.jclinepi.2019.03.008
Islam, M. A., & Aldaihani, F. M. F. (2022). Justification for adopting qualitative research method, research approaches, sampling strategy, sample size, interview method, saturation, and data analysis. Journal of International Business and Management, 5(1), 01-11. https://www.researchgate.net/profile/Md-Islam-394/publication/357352896
Jensen, J. L., Phillips, A. J., & Briggs, J. C. (2019). Beyond Bloom’s: Students’ perception of Bloom’s taxonomy and its convolution with cognitive load. Journal of Psychological Research, 1(1), 24-32. https://doi.org/10.30564/jpr.v1i1.421
Jiang, Y., & Attan, S. A. (2024). Time management disposition in learning motivation and academic performance of lacquer art majors in Fujian, China. SN Computer Science, 5(5), 471. https://link.springer.com/article/10.1007/s42979-024-02795-4
Kushwaha, R. K., Dubey, A. K., Tripathi, A., & Mishra, G. (2023). Cutting edge in special education. Blue Rose Publishers. https://books.google.lk/books?hl=en&lr=&id=K6fpEAAAQBAJ&oi=fnd&pg=PA1&dq=Kushwaha
Lee, M., Bong, M., & Kim, S. I. (2021). Effects of achievement goals on self-control. Contemporary Educational Psychology, 67, 102000. https://doi.org/10.1016/j.cedpsych.2021.102000
Levy, P. S., & Lemeshow, S. (2013). Sampling of populations: methods and applications. John Wiley & Sons. https://books.google.lk/books?hl=en&lr=&id=XU9ZmLe5k1IC&oi=fnd&pg=PT14&dq=Levy,+P.+S.,+%26+Lemeshow
Lim, J., Shin, Y., Lee, S., Chun, M. S., Park, J., & Ihm, J. (2024). Improving learning effects of student-led and teacher-led discussion contingent on prediscussion activity. The Journal of Experimental Education, 92(4), 626-643. https://doi.org/10.1080/00220973.2023.2221394
Liu, O. L., Rios, J. A., & Borden, V. (2015). The effects of motivational instruction on college students’ performance on low-stakes assessment. Educational Assessment, 20(2), 79-94. https://doi.org/10.1080/10627197.2015.1028618
Marsh-Henry, Z. (2020). Assessing the relationship between academic anxiety and maths performance effects amongst young adults (Doctoral dissertation, University of Leeds). https://www.researchgate.net/profile/Zhane-Marsh-Henry/publication/342902588_
Mertler, C. A., Vannatta, R. A., & LaVenia, K. N. (2021). Advanced and multivariate statistical methods: Practical application and interpretation. Routledge. https://doi.org/10.4324/9781003047223
Misheva, A. (2023). Accepting and understanding evolution: The development and evaluation of measurement tools in evolution education (Doctoral dissertation, Arizona State University). https://www.proquest.com/openview/514a51284713673f9882d5a9f45682aa/1?pq-origsite=gscholar&cbl=18750&diss=y
Ramirez, G., & Beilock, S. L. (2011). Writing about testing worries boosts exam performance in the classroom. Science, 331(6014), 211-213. https://doi.org/10.1126/science.1199427
Rempel, B. P., Dirks, M. B., & McGinitie, E. G. (2021). Two-stage testing reduces student-perceived exam anxiety in introductory chemistry. Journal of Chemical Education, 98(8), 2527-2535. https://pubs.acs.org/doi/abs/10.1021/acs.jchemed.1c00219
Russo, J., Powers, T., Hubbard, J., Buckley, S., & Livy, S. (2023). How often and when teachers should teach with challenging tasks: the role of motivational beliefs. Journal of Mathematics Teacher Education, 1-22. https://link.springer.com/article/10.1007/s10857-023-09612-4
Sum, C., Chan, I., & Wong, H. (2021). Ready to learn in an uncertain future: ways to support student engagement. Accounting Research Journal, 34(2), 169-183. https://doi.org/10.1108/ARJ-08-2020-0220
Yu, L., Li, Y., Lan, Y., & Zheng, H. (2023). Impacts of the flipped classroom on student performance and problem solving skills in secondary school chemistry courses. Chemistry Education Research and Practice, 24(3), 1025-1034. https://doi.org/10.1039/D2RP00339B
Yusnarsi, V. (2020). An analysis of students’ performance in answering multiple-choice and short essay questions in reading test (Doctoral dissertation, UIN Ar-Raniry). https://repository.ar-raniry.ac.id/id/eprint/14013
Zainuddin, Z. (2018). Students’ learning performance and perceived motivation in gamified flipped-class instruction. Computers & Education, 126, 75-88. https://doi.org/10.1016/j.compedu.2018.07.003
Zheng, Q., & Shi, Y. (2024). Can service scholarships boost academic performance? Causal evidence from China’s Free Teacher Education scholarship. Higher Education, 89, 691–715. https://doi.org/10.1007/s10734-024-01242-w
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Copyright (c) 2026 Ellippuli Arachchige Champika Nishanthi Perera, Loku Waduge Ransika De Alwis, Kahengoda Mudiyanselage Niranga Thanuja Kumari Bandara
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