Abstract
This study aimed to assess the impact of problem-based learning (PBL) on students’ achievement in mechanical waves among secondary schools in South Western Uganda. Four hundred and nineteen students (419) from 19 schools were involved in this study. A quasi-experimental research method was employed through Solomon's four-group design. Form six physics students were randomly allocated to the experimental group exposed to PBL and the control group exposed to traditional instructional methods (TIM). A Mechanical Wave Conceptual Survey (MWCS) was administered twice as a pre- and post-test to both groups. Exposition to these instructions lasted three and half months. The study found that students’ achievements in waves improved in the PBL than in the TIM learning environment, supported by the large effect size and high learning gains in the experimental group than those in the control group. Specifically, among groups offered both pre- and post-test during Solomon’s four-group sampling at the post-test stage, the experimental group achieved higher than the control group. Further analysis among factors such as gender difference, age difference, subjects’ combination, single girls alongside mixed schools, and government or private owned schools were analyzed, and practical implications such as teacher’s adaptation of PBL were recommended.
Similar content being viewed by others
Data Availability
References
Alfieri, L., Brooks, P. J., Aldrich, N. J., & Tenenbaum, H. R. (2011). Does discovery-based instruction enhance learning? Journal of Educational Psychology, 103(1), 1–18. https://doi.org/10.1037/a0021017
Argaw, A. S., Haile, B. B., Ayalew, B. T., & Kuma, S. G. (2017). The effect of problem based learning (PBL) instruction on students’ motivation and problem solving skills of physics. Eurasia Journal of Mathematics, Science and Technology Education, 13(3), 857–871. https://doi.org/10.12973/eurasia.2017.00647a
Ayorekire, J., & Twinomuhangi, R. (2011). Uganda: Educational reform, the rural–urban digital divide, and the prospects for GIS in schools. In International perspectives on teaching and learning with GIS in secondary schools (pp. 283-289). Dordrecht: Springer Netherlands.
Ates, O., Coban, G. U., & Sengoren, S. K. (2018). Consistency between constructivist profiles and instructional practices of prospective physics teachers *. European Journal of Educational Research, 7(2), 359–372. https://doi.org/10.12973/eu-jer.7.2.359
Barniol, P., & Zavala, G. (2016). Mechanical waves conceptual survey: its modification and conversion to a standard multiple-choice test. Physical Review Physics Education Research, 12(1), 010107. https://doi.org/10.1103/PhysRevPhysEducRes.12.010107
Barniol, P., & Zavala, G. (2017). The mechanical waves conceptual survey: an analysis of university students’ performance, and recommendations for instruction. EURASIA Journal of Mathematics Science and Technology Education, 13(3), 929–952. https://doi.org/10.12973/eurasia.2017.00651a
Bhattacharjee, J. (2015). Constructivist approach to learning–an effective approach of teaching learning. International Research Journal of Interdisciplinary & Multidisciplinary Studies, 1(4), 23-28
Creswell, J. W. (2014). A concise introduction to mixed methods research. SAGE publications.
Dorimana, A., Uworwabayeho, A., & Nizeyimana, G. (2021). Examining mathematical problem-solving beliefs among rwandan secondary school teachers. International Journal of Learning, Teaching and Educational Research, 20(7), 227–240. https://doi.org/10.26803/ijlter.20.7.13
Dorimana, A., Uworwabayeho, A., & Nizeyimana, G. (2022). Enhancing upper secondary learners ’ problem - solving abilities using problem-based learning in mathematics. International Journal of Learning, Teaching and Educational Research, 21(8), 235–252. https://doi.org/10.26803/ijlter.21.8.14
Duit, R., & Tesch, M. (2010). On the role of the experiment in science teaching and learning – Visions and the reality of instructional practice. In M. Kalogiannakis, D. Stavrou, & P. Michaelidis (Eds.), Proceedings of the 7th International Conference on Hands-on Science, 17–30.
Duncan, T., & Kennett, H. (2014). Cambridge IGCSE Physics 3rd Edition. Hachette UK.
Eberlein, T., Kampmeier, J., Minderhout, V., Moog, R. S., Platt, T., Varma-Nelson, P., & White, H. B. (2008). Pedagogies of engagement in science: A comparison of PBL, POGIL, and PLTL. Biochemistry and Molecular Biology Education, 36(4), 262–273. https://doi.org/10.1002/bmb.20204
Eijkelhof, H. M., & Kortland, J. (1998). Broadening the Aims of Physics Education. Development and dilemmas in science education, 282-305.
Elsie, K. M., Francis, B., & Gonzaga, M. A. (2009). Attitudes and perceptions of students and teachers about problem based learning in the radiography curriculum at Makerere University, Uganda. European Journal of Radiography, 1(4), 156–162.
Elsie, K. M., Gonzaga, M. A., Francis, B., Rebecca, N., & Stephen, B. (2010). Evaluation of ultrasound training in the problem based learning radiography curriculum at makerere university, Uganda. Radiography, 16(4), 314–320.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education, (7), p.429 (8th ed.). McGraw Hill.
Grider, C. (1993). Foundations of cognitive theory: A concise review.
Halim, L., Rahman, N. A., Ramli, N. A. M., & Mohtar, L. E. (2018). Influence of students’ STEM self-efficacy on STEM and physics career choice. AIP Conference Proceedings, 1923(1), 1–10. https://doi.org/10.1063/1.5019490
Hake, R. R. (1998). Interactive-engagement versus traditional methods_ A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1). https://doi.org/10.1119/1.18809
Kabita, D. N., & Ji, L. (2017). The why, what and how of competency-based curriculum reforms: the Kenyan experience. Current and Critical Issues in Curriculum, Learning and Assessment, 11. http://unesdoc.unesco.org/images/0025/002504/250431e.pdf
Kanyesigye, S. T., Uwamahoro, J., & Kemeza, I. (2022a). The effect of professional training on in-service secondary school physics “teachers” motivation to use problem-based learning. International Journal of Learning, Teaching and Educational Research, 21(8), 271–287. https://doi.org/10.26803/ijlter.21.8.16. Accessed Aug 8 2021.
Kanyesigye, T. S., Uwamahoro, J., & Kemeza, I. (2022). Data collected to measure the impact of problem-based learning and document physics classroom practices among Ugandan secondary schools. Data in Brief, 44(108534 Contents), 1–9. https://doi.org/10.1016/j.dib.2022.108534
Kanyesigye, S. T., & Kemeza, I. (2021). Effect of problem-based learning instruction on secondary school physics students in understanding of electromagnetic waves. Voice of Research, 10(1), 1–17. http://www.voiceofresearch.org/Doc/Jun-2021/Jun-2021_1.pdf. Accessed Aug 8 2021.
Kanyesigye, S. T., Uwamahoro, J., & Kemeza, I. (2022b). Difficulties in understanding mechanical waves: Remediated by problem-based instruction. Physical Review Physics Education Research. 18(1), 010140. Accessed Aug 8 2021.
Kiguli-Malwadde, E., Kijjambu, S., Kiguli, S., Galukande, M., Mwanika, A., Luboga, S., & Sewankambo, N. (2006). Problem-based learning, curriculum development and change process at Faculty of Medicine, Makerere University, Uganda. African Health Sciences, 6(2), 127–130.
Kim, N. J., Vicentini, C. R., & Belland, B. R. (2021). Influence of scaffolding on information literacy and argumentation skills in virtual field trips and problem-based learning for scientific problem solving. International Journal of Science and Mathematics Education, 1–22. https://doi.org/10.1007/s10763-020-10145-y
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry- based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1
Magumba, M. (2018). Strengthening Uganda’s Education System. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3525146
Maknun, J. (2020). Implementation of guided inquiry learning model to improve understanding physics concepts and critical thinking skill of vocational high school students. International Education Studies, 13(6), 117. https://doi.org/10.5539/ies.v13n6p117
Mioković, Ž., Varvodić, S., & Radolić, V. (2012). Undergraduate engineering students’ conceptual and procedural knowledge of wave phenomena. International Journal of Electrical and Computer Engineering Systems, 3(1), 9–23. https://hrcak.srce.hr/85688
Ndihokubwayo, K. (2022). College students improvised ideas during physics laboratory activities. Journal of Classroom Practices, 1(1), 1–9. https://doi.org/10.58197/prbl/tbay8568
Ndihokubwayo, K., Uwamahoro, J., & Ndayambaje, I. (2020). Effectiveness of PhET simulations and YouTube videos to improve the learning of optics in Rwandan secondary schools. African Journal of Research in Mathematics, Science and Technology Education, 24(2), 253–265. https://doi.org/10.1080/18117295.2020.1818042
Ndihokubwayo, K., Nyirahabimana, P., & Musengimana, T. (2021). Teaching and learning bucket model: Experimented with mechanics baseline test. European Journal of Educational Research, 10(2), 525–536. https://doi.org/10.12973/EU-JER.10.2.525
Ndihokubwayo, K., Ukobizaba, F., Byusa, E., & Rukundo, J. C. (2022). Issues in subject combinations choice at advanced level secondary schools in Rwanda. Problems of Education in the 21st Century, 80(2), 339–352. https://doi.org/10.33225/pec/22.80.339
Ndihokubwayo, K., Uwamahoro, J., Ndayambaje, I., & Ralph, M. (2020b). Light phenomena conceptual assessment: An inventory tool for teachers. Physics Education, 55(3). https://doi.org/10.1088/1361-6552/ab6f20
Ngware, M., Hungi, N., Mahuro, G., & Mutisya, M. (2016). The quality of education in uganda : a case of Iganga and Mayuge Districts. In African Population and Health Research Center. https://doi.org/10.13140/RG.2.2.18273.92004
Nsengimana, T., RugemaMugabo, L., Hiroaki, O., & Nkundabakura, P. (2020). Reflection on science competence-based curriculum implementation in Sub-Saharan African countries. International Journal of Science Education, Part B, 0(0), 1–14. https://doi.org/10.1080/21548455.2020.1778210
Nzeyimana, J. C., & Ndihokubwayo, K. (2019). Teachers’ role and learners’ responsibility in teaching and learning science and elementary technology in Rwanda. African Journal of Educational Studies in Mathematics and Sciences, 15(2), 1–16. https://www.ajol.info/index.php/ajesms/article/view/188762. Accessed Aug 8 2021.
Olaoye, O., & Adu, E. O. (2015). Problem-based learning strategies and gender as determinant of grade 9 students’ academic achievement in algebra. International Journal of Educational Sciences, 8(3), 485–492. https://doi.org/10.1080/09751122.2015.11890270
Olusegun, S. (2015). Constructivism learning theory : A paradigm for teaching and learning. The International Journal of Research & Method in Education, 5(6), 66–70. https://doi.org/10.9790/7388-05616670
Park, J., & Lee, L. (2004). Analysing cognitive or non-cognitive factors involved in the process of physics problem-solving in an everyday context. International Journal of Science Education, 26(13), 1577–1595. https://doi.org/10.1080/0950069042000230767
Probst, T. M. (2003). Exploring employee outcomes of organizational restructuring: A solomon four-group study. Group and Organization Management, 28(3), 416–439. https://doi.org/10.1177/1059601102250825
REB. (2015). Comptence-based curriculum. Curriculum framework pre-primary to upper secondary. Ministry of education
Sahin, M. (2010). Effects of problem-based learning on university students’ epistemological beliefs about physics and physics learning and conceptual understanding of Newtonian Mechanics. Journal of Science Education and Technology, 19(3), 266–275. https://doi.org/10.1007/s10956-009-9198-7
Sawilowsky, S., Kelley, D. L., Blair, R. C., & Markman, B. S. (1994). Meta-analysis and the Solomon four-group design. The Journal of Experimental Education, 62(4), 361–376. https://doi.org/10.1080/00220973.1994.9944140
Sawilowsky, S. S. (2009). Very large and huge effect sizes. Journal of Modern Applied Statistical Methods, 8(2), 597–599. https://doi.org/10.22237/jmasm/1257035100
Seibert, S. A. (2021). Problem-based learning: A strategy to foster generation Z’s critical thinking and perseverance. Teaching and Learning in Nursing, 16(1), 85–88.
Selçuk, G. S. (2010). The effects of problem-based learning on pre-service teachers’ achievement, approaches and attitudes towards learning physics. International Journal of Physical Sciences, 5(6), 711–723.
Şengören, S. K., Tanel, R., & Kavcar, N. (2009). Students’ Difficulties about the Wave Pulses Propagating On a Rope. Journal of Turkish Science Education, 6(1), 50–59.
Taber, B. R. (2011). Teacher Attitudes Toward the Use of Problem-based Learning in Science Courses with Statemandated, End of Course Testing (Doctoral dissertation, Jones International University)
Tabor-Morris, A. E., Briles, T. M., & Schiele, R. (2017). Radio wave errors : Students mistaking radio transverse electromagnetic light waves as longitudinal sound waves. International Journal of Learning, Teaching and Educational Research, 16(8), 37–50.
Tomlinson, R., Milson, A. J., Demirci, A., & Kerski, J. J. (2020). Uganda: educational reform, the rural–urban digital divide, and the prospects for GIS in schools. In International Perspectives on Teaching and Learning with GIS in Secondary Schools (Vol. 9789400721, Issue January, pp. 283–289). Springer Publishers. https://doi.org/10.1007/978-94-007-2120-3_31
Tongchai, A., Sharma, M., Johnston, I., & Arayathanitkul, K. (2008). Students’ conceptual knowledge of mechanical waves across different backgrounds and cultures. In proceedings of the australian conference on science and mathematics education.
Uganda National Examination Board. (2017). Uganda national examinations board report on work of candidates UCE 2016. Uganda government
Van Engelenburg, G. (1999). Statistical analysis for the solomon four-group design. Research Report 99–06.
Wittmann, M. C., Steinberg, R. N., & Redish, E. F. (2003). Making sense of how students make sense of mechanical waves. The Physics Teacher, 37(1), 15–21. https://doi.org/10.1119/1.880142
Acknowledgements
We highly appreciate the authors of MWCS who allowed us to use it in our study. To all teachers and students that participated in this study, their support and perseverance towards its completion are recognized. The whole project for the first author was funded by the African Centre of Excellence for Innovative Teaching and Learning Mathematics and Science (ACEITLMS). We also express our gratitude to the Editor of the International Journal of Science Education, Professor Hans Fischer, and reviewers of Research in Science Education for academic support.
Funding
The whole project for the first author was funded by the African Centre of Excellence for Innovative Teaching and Learning Mathematics and Science (ACEITLMS).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethics Approval and Consent to Participate
The researchers sought ethical clearance from the University of Rwanda Research Committee and thereafter obtained authorization to access schools in Mitooma District from the permanent secretary-Ministry of Education, Uganda.
Conflict of Interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix 1. Descriptive statistics for normality test
Appendix 1. Descriptive statistics for normality test
Experimental vs control group | Statistic | Std. error | |||
---|---|---|---|---|---|
Pre_Test | Experimental group | Mean | 17.36813 | 0.544883 | |
95% confidence interval for mean | Lower bound | 16.29022 | |||
Upper bound | 18.44603 | ||||
5% trimmed mean | 17.14678 | ||||
Median | 14.81481 | ||||
Variance | 39.190 | ||||
Std. deviation | 6.260230 | ||||
Minimum | 7.407 | ||||
Maximum | 37.037 | ||||
Range | 29.630 | ||||
Interquartile range | 11.111 | ||||
Skewness | 0.548 | 0.211 | |||
Kurtosis | − 0.080 | 0.419 | |||
Control group | Mean | 22.18761 | 0.658920 | ||
95% confidence interval for mean | Lower bound | 20.88123 | |||
Upper bound | 23.49398 | ||||
5% trimmed mean | 22.18376 | ||||
Median | 22.22222 | ||||
Variance | 46.457 | ||||
Std. deviation | 6.815926 | ||||
Minimum | 3.704 | ||||
Maximum | 40.741 | ||||
Range | 37.037 | ||||
Interquartile range | 7.407 | ||||
Skewness | − 0.134 | 0.234 | |||
Kurtosis | − 0.103 | 0.463 |
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kanyesigye, S.T., Uwamahoro, J. & Kemeza, I. The Impact of Problem-Based Learning on Students’ Achievement in Mechanical Waves in Secondary Schools. Res Sci Educ 53, 1013–1033 (2023). https://doi.org/10.1007/s11165-023-10119-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11165-023-10119-4