BackgroundPrevious studies assessing students’ learning outcomes and identifying contributing factors have often dwelt on the cognitive domain. Furthermore, school evaluation decisions are often made using scores from cognitive-based tests to rank students. This practice often skews evaluation results, given that education aims to improve the three learning domains. This study addresses this gap by assessing the contributions of four students’ input to their cognitive, affective and psychomotor skills (CAPs).MethodsA cross-section of senior secondary class II students (n = 870), sampled through the multistage procedure, participated in a physical survey. Students’ Inputs Questionnaire (STIQ) and Learning Outcomes Questionnaire (LOQ) were used for data collection. Based on data obtained from a pilot sample (n = 412), principal axis factoring (PAF) was performed to assess the internal structure of the instruments following an oblique rotation. The KMO value of sampling adequacy were 0.88 and 0.94, while the Bartlett’s test of sphericity were significant χ2(253) = 5,010; p < 0.001 and χ2(105) = 3693.38, p < 0.001 for the STIQ and LOQ, respectively. Confirmatory factor analysis was used to assess the models’ acceptability based on the maximum likelihood estimation technique. The main study used hierarchical linear regression for data analysis.ResultsFindings indicated that innate ability, health, motivation and social capital relatively and cumulatively predicted students’ overall, cognitive, affective and psychomotor learning outcomes. The proportion of variance explained by the predictors increased at different levels of the models with the addition of new variables. Students’ social capital reduced the effect of students’ innate ability regardless of their motivation and health status.Conclusion/implicationThis study has provided evidence that the four students’ inputs are crucial predictors of their learning outcomes in the three domains. This result is helpful for school management to provide services aimed at improving the school climate for students’ motivation and social capital. The result can provide policymakers with a proper understanding of the constituents of learning outcomes and how policies can be aligned to secure quality student inputs for maximum productivity in education.
Curriculum reengineering, web-based technology acquisition, and job creation among Nigerian tertiary institution graduates were all examined in this research. The researchers used a descriptive survey design following the quantitative research approach. The study included all Nigerian graduates eligible for national service or its exemption who earned their diplomas or degrees between 2016 and 2021. The data was gathered via an online survey titled "Curriculum Re-engineering, Acquisition of Emerging Technologies, and Job Creation Questionnaire (CRAETJCQ). To assemble the data for this study, we used a snowball method. There were 4,874 replies countrywide after four months of data collection; however, only 4,628 responses satisfied the data analysis conditions after screening out irrelevant responses. Results indicated low curriculum reengineering in Nigerian postsecondary institutions. Nigerian graduates had a poor adoption of new web-based technologies but are increasingly using them for word processing, graphics, data science and data analysis. Nevertheless, only a few graduates employed emerging techs for other purposes (such as printing, YouTube video creation, course design and development, software development, digital marketing, online advertising, and consumer outreach). Although 58.30 per cent of graduates reported having not created any job, 41.70 per cent have done so between 2016 and 2021. Of the 1,930 graduates who owned at least one small or medium enterprise, 58.96% had no employees, whereas 41.04% had hired at least one employee between 2016 and 2021. The graduates' job creation index was estimated to be approximately 50% using a new formula. Based on these results, conclusions and recommendations were made.
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