Research Article

Investigating Factors Affecting Secondary Students’ Science Performance: Evidence From Choma District, Zambia

Authors

Abstract

Using Mbabala Day Secondary School, St. Marks Boarding Secondary School, and Simunzele Day Secondary School in the Choma District of Southern Province as examples, the study looked at the factors that contribute to low performance among science students in Zambia. The purpose of this study was to examine the factors that lead to subpar science performance as well as the availability of science teaching and learning resources in Choma District secondary schools. 45 students in all were chosen from the three schools using a descriptive research design. These students belonged to the Grades 10, 11, and 12 classes. Three parents from each of the three schools’ surrounding communities and nine teachers from the three schools themselves were also chosen. Participants in the study were chosen using purposive sampling, a non-probability sampling technique. Semi-structured interviews with parents, focus groups with students, and key informant interviews with teachers were used to collect data. Data analysis was done using thematic analysis.  According to the study’s main findings, students’ negative attitudes toward science and a lack of resources—such as textbooks—as well as crowded classrooms, a lack of discipline, poor conceptual comprehension, a lack of laboratory equipment and resources, non-compliance with Curriculum Assessment Policy Statements, inadequate or incomplete lesson plan preparation by teachers, and a lack of teaching and learning materials are common causes of poor performance. It is advised that the government make sure the schools have all the supplies they require. To inspire students and maintain their interest in science, teachers should employ contemporary teaching techniques.

Keywords:

Environment Factors Poor Performance Science

Article information

Journal

Journal of Education, Learning, and Management

Volume (Issue)

2(1), (2025)

Pages

177-185

Published

24-05-2025

How to Cite

Gwanda, J., & Chibesa, F. (2025). Investigating Factors Affecting Secondary Students’ Science Performance: Evidence From Choma District, Zambia. Journal of Education, Learning, and Management, 2(1), 177-185. https://doi.org/10.69739/jelm.v2i1.467

References

Bossaert, G., Doumen, S., Buyse, E., & Verschueren, K. (2011). Predicting children’s academic achievement after the transition to first grade: A two-year longitudinal study. Journal of Applied Developmental Psychology, 32(2), 47–57. DOI: https://doi.org/10.1016/j.appdev.2010.12.002

Cameron, L. (2009). Higher grade Dinaledi schools initiative helps boost maths, science pass rates. Engineering news.

Dhurumraj, T. (2013). Contributory factors to poor learner performance in physical sciences in Kwazulu Natal Province with special reference to schools in the Pinetown district. Unpublished Master of Education dissertation. Pretoria: University of South Africa.

Dudek, M. (2000). The new learning environments. New York: Routledge.

E.C.Z. (2015). School Certificate and G.C.E. Examiners’ Report Physical Science 2015 Examinations; Lusaka, Zambia.

Fonseca, J., & Conboy, J. (2006). Secondary student perceptions of factors effecting failure in science in Portugal. Eurasia Journal of Mathematics, Science and Technology Education, 2(2), 82-95. DOI: https://doi.org/10.12973/ejmste/75455

Gardner, P., & Hill, A. (1999). Technology education in Ontario: evolution, achievements, Critiques and challenges — the context. International Journal of Technology and Design Education, 9, 103-136. DOI: https://doi.org/10.1023/A:1008817629267

Hlabane, A. (2014). Exploring effects of incorporating English language in secondary school science education: A case of secondary school Physical Sciences learners in Mpumalanga Province. Unpublished Master of Education dissertation. Pretoria: UNISA.

Howe, S. (2003). Language and other background factors affecting secondary pupils’ performance in Mathematics in South Africa. African Journal of Research in SMT Education, 7, 1-20. DOI: https://doi.org/10.1080/10288457.2003.10740545

Ruby, A. (2006). Improving science achievement at high - poverty urban middle schools. USA: Wiley Periodicals. Inc. DOI: https://doi.org/10.1002/sce.20167

Kanyongo, G., Schreiber, J., & Brown, L. (2007). Factors affecting mathematics achievement among 6th graders in three sub- Saharan African countries: The use of hierarchical linear models (HLM). African Journal Research in SMT Education, 11(1), 3. DOI: https://doi.org/10.1080/10288457.2007.10740610

Kibet, K., Mbugua, Z., Muthaa, G., & Nkonke, G. (2012). Factors contributing to students’ poor performance in Mathematics at Kenya Certificate of secondary education in Kenya: A case of Baringo County, Kenya. American International Journal of Contemporary Research, 2(6), 87-91.

King’aru, J. (2014). Factors contributing to poor performance of sciencesubjects: A case of Secondary schools in Kawe division, Kinondori munincipality. Unpublished Dissertation of Managementof the Open University of Tanzania.

Kirschner, F., Paas, F., & Kirschner, P. (2009). A cognitive load approach to collaborative learning: United brains for complex tasks. Educational Psychology Review, 21(1), 31-42. DOI: https://doi.org/10.1007/s10648-008-9095-2

Kostelnik, M., Whiren, A., Sodermann, A., & Gregory, K. (2009). Guiding children’s social Development and Learning. New York, Delmar.

Lebata, M. (2014). An investigation of performance in the biology 5090 at selected high schools in Lesotho. Masters. UNISA. DOI: https://doi.org/10.5901/mjss.2014.v5n8p271

Lent, B., & Hacket, J. (1994). Towards a unifying social cognitive theory of career and academic interest, choice and performance. Journal of vocational behaviour 45(1), 79-12. DOI: https://doi.org/10.1006/jvbe.1994.1027

Makgato, M., & Mji, A. (2006). Factors associated with high school learners’ poor performance: A spotlight on mathematics and physical science. South African Journal of Education, 26(2), 253-266.

Muwanga-Zake, J. (2000). Is science education in South Africa in a crisis? The EasternCape experience. African Journal of Research in Mathematics, Scienceand Technology Education, 4(1), 1-11.

Muwanga-Zake, J. (2008). Is science education in a crisis? Some problems in South Africa. Science Education. http://www.scienceinafrica.co.za/scicrisis.htm

Muzah, P. (2011). An exploration into the school-related factors that cause highmatriculation failure rates in Physical science in public high schools of Alexandra Township. Unpublished Master of Education dissertation. Pretoria: University of South Africa.

Mwaba, K. (2011). The performance of female pupils in Physical science at Serenje Technical High School academic production unit. University of Zambia.

Mwenda, E., Gitaari, E., Nyaga, G., Muthaa, G., & Reche, G. (2013). Factors contributing to students’ poor performance in mathematics in public secondary school in Tharaka South district Kenya. Journal of Education and Practice, 4(7), 93-99.

Onwu, G. (1999). An investigation of the ability and use of learning materials in Grade 12 science classes in some selected schools in the Northern Province. Department of Mathematics and Science Education. University of Venda.

Patton, M. (1990). Qualitative evaluation and research methods (2nd ed.). Newbury Park, CA: Sage Publication, Inc.

Tongco, E., & Maria D. (2007). Purpose sampling as a tool for Informant Selection. University of Hawaii: Manoa. DOI: https://doi.org/10.17348/era.5.0.147-158

Vassallo, B. (2014). What makes them still tick? A study job (dis) satisfaction among long serving teachers in Malta. The Online Journal of New Horizons in Education, 4(1), 97-116.

Wigfield, A., & Eccles, J. (2000). The development of competence beliefs and values from childhood through adolescence. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 92-120). San Diego: Academic Press.

Yara, P., & Otieno, K (2010). Teaching/Learning resources and academic performance in Mathematics in secondary schools in Bondo district of Kenya. Asian Social Science, 6(12), 126-132. DOI: https://doi.org/10.5539/ass.v6n12p126

Zimmerman, B., & Schunk, D. (2001). Self-regulated learning and academic achievement: Theoretical perspectives (2nd Ed.). NJ: Erlbaum.University press.

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