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Educational Level (Year of Study) and Marital Status as Demographic Correlates Students’ Performance in Computer Programming in Federal Universities in South-Eastern Nigeria


Authors : Samuel Okechukwu Nnaji; Christabel Linda Uchenwa; Favour Ahonwo Ifeanyichukwu

Volume/Issue : Volume 11 - 2026, Issue 6 - June


Google Scholar : https://tinyurl.com/3s3p8z5e

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DOI : https://doi.org/10.38124/ijisrt/26jun2050

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Abstract : The reliability of the instrument were determined using Cronbach's Alpha reliability coefficient. A reliability coefficient of 0.98 and 0.97 for cluster 1 and 2 respectively and 0.98 for overall, the result were considered acceptable for the study. The data collected were analyzed using Pearson Product Moment Correlation Coefficient to answer the research questions. The null hypotheses were tested using One Way Analysis of Variance (ANOVA) at .05 level of significance. The findings revealed a very weak relationship for educational level (year of study) with students performance in computer programming, whereas weak correlation for marital status demonstrated a comparatively. It was therefore, recommended among others that structured programming support programs should be established by federal universities, especially for first- and second-year students who frequently struggle to adjust to programming principles. As students advance through various academic levels, tutorials, mentoring programs, coding clinics, and peer-assisted learning activities should be arranged on a regular basis to boost their proficiency and selfassurance and lecturers of computer programming should create instructional strategies that take into account the diverse practical and cognitive requirements of students at different academic levels. While lower-level students should receive basic help to enable steady skill growth and increased academic achievement, advanced students should be introduced to more challenging programming tasks.

Keywords : Educational Level, Marital Status, Demographic Correlates, Students Performance, Computer Programming, Federal Universities.

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The reliability of the instrument were determined using Cronbach's Alpha reliability coefficient. A reliability coefficient of 0.98 and 0.97 for cluster 1 and 2 respectively and 0.98 for overall, the result were considered acceptable for the study. The data collected were analyzed using Pearson Product Moment Correlation Coefficient to answer the research questions. The null hypotheses were tested using One Way Analysis of Variance (ANOVA) at .05 level of significance. The findings revealed a very weak relationship for educational level (year of study) with students performance in computer programming, whereas weak correlation for marital status demonstrated a comparatively. It was therefore, recommended among others that structured programming support programs should be established by federal universities, especially for first- and second-year students who frequently struggle to adjust to programming principles. As students advance through various academic levels, tutorials, mentoring programs, coding clinics, and peer-assisted learning activities should be arranged on a regular basis to boost their proficiency and selfassurance and lecturers of computer programming should create instructional strategies that take into account the diverse practical and cognitive requirements of students at different academic levels. While lower-level students should receive basic help to enable steady skill growth and increased academic achievement, advanced students should be introduced to more challenging programming tasks.

Keywords : Educational Level, Marital Status, Demographic Correlates, Students Performance, Computer Programming, Federal Universities.

Paper Submission Last Date
31 - July - 2026

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