BASELINE ASSESSMENT OF PROGRAMMING PERCEPTION AND READINESS AMONG SECONDARY SCHOOL STUDENTS IN EDO STATE

Authors

Keywords:

programming education, coding, computational thinking, readiness, perception

Abstract

The study examined secondary school students’ readiness for programming in education in Edo State, Nigeria, with emphasis on curriculum gaps and students’ preparedness before full implementation of programming in the national curriculum. A descriptive survey design was adopted, and data were collected from 185 validly completed questionnaires distributed across public and private secondary schools. The instrument measured students’ perceptions, factors influencing readiness, and expectations toward programming education. Descriptive statistics (mean and standard deviation) and inferential tests (t-tests) were used for data analysis. Findings revealed that students’ perception of programming was neutral (Mean = 3.27), influenced by limited practical exposure and teacher engagement. Factors influencing readiness included personal confidence, teacher competence, and availability of ICT resources, with a moderate overall readiness level (Mean = 3.46). Students’ expectations were high (Mean = 3.71), showing enthusiasm toward learning programming and engaging in coding-related activities. Significant differences were found in perceptions across gender (p < 0.05), but not across school type. However, expectations differed significantly between public and private school students (p < 0.05). The study concluded that Edo State students demonstrated readiness for programming education but require improved teacher capacity, gender inclusion, and infrastructure to support effective curriculum delivery. Recommendations include enhanced teacher training, provision of ICT resources, and establishment of coding clubs to foster engagement and digital competence.

Dimensions

Apple and YPulse (2023). Student Perceptions of Coding & App Development A research report by YPulse September 2023

Christiane, G., Giani, P., André, W., Adriano, F., Jean, C., Fernando, S., and Raul, M., (2017). dETECT: A Model for the Evaluation of Instructional Units for Teaching Computing in Middle School, Informatics in Education. DOI https://doi.org/10.15388/infedu.2017.15

Ekong, X. M. (2020). Computer education, information and communication technology in Nigerian primary schools: Implications for teacher education. Global Academic Star Publications. https://www.globalacademicstar.com/download/article/computer-education-information-and-communication-technology-in-nigerian-primary-schools-implications-for-teacher-education.pdf

Grover, S., and Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189X12463051

Gunasekara, N. D. (2021). Gender Differences in Learning Programming: An Analysis by Students‘Perception. International Journal of Research and Innovation in Social Science (IJRISS) |Volume V, Issue IV, April 2021|ISSN 2454-6186

Irunokhai, E. A., Adigun, J. O., Onihunwa, J. O., Adeniji, O. A., Wealth, S. A., Dada, O. S. and Sada, Y. A. (2024).Investigation Of Gender-Based Interest In Computer Programming Engagements Among Students Of Federal College Of Wildlife Management, New Bussa. FUDMA Journal of Sciences (FJS) DOI: https://doi.org/10.33003/f js-2024-0804-2626

Korkmaz, Ö, Çakir, R. and Özden, M. Y. (2017). A validity and reliability study of the Computational Thinking Scales (CTS). Computers in Human Behavior, 72, 558–569. https://doi.org/10.1016/j.chb.2017.01.005

Lye, S. Y. and Koh, J. H. L. (2014). Review on teaching and learning of computational thinking through programming: What is next for K–12? Computers in Human Behavior, 41, 51–61. https://doi.org/10.1016/j.chb.2014.09.012

Nwangwu, Emmanuel Chukwunweik (2015). "Attitudes of Computer Education Students towards the Teaching and Learning of Programming Courses in Nigerian Higher Education: The Way Forward: The Way Forward." The International Journal of Technologies in Learning 22 (4): 13-26. doi: https://doi.org/10.18848/2327-0144/CGP/v22i04/49173

Relkin, E., Doss, C., Jones, V. L., and Pane, J. F. (2025). Coding Readiness Assessment: A Measure of Computational Thinking for Preschoolers. Education Sciences, 15(1), 9. https://doi.org/10.3390/educsci15010009

Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215

Wing, J. M. (2017). Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology, 25(2), 7–14. https://doi.org/10.17471/2499-4324/922

Published

19-11-2025

How to Cite

Osemwegie, E., Amadin, F. I., & Uduehi, O. M. (2025). BASELINE ASSESSMENT OF PROGRAMMING PERCEPTION AND READINESS AMONG SECONDARY SCHOOL STUDENTS IN EDO STATE. FUDMA JOURNAL OF SCIENCES, 9(12), 115-119. https://doi.org/10.33003/fjs-2025-0911-4242

How to Cite

Osemwegie, E., Amadin, F. I., & Uduehi, O. M. (2025). BASELINE ASSESSMENT OF PROGRAMMING PERCEPTION AND READINESS AMONG SECONDARY SCHOOL STUDENTS IN EDO STATE. FUDMA JOURNAL OF SCIENCES, 9(12), 115-119. https://doi.org/10.33003/fjs-2025-0911-4242

Most read articles by the same author(s)