The Use of Data in Policy-Making in Nigeria’s Educational Sector: Implications for National Development

Azuh, Dominic E.; Joshua, Segun; Ibietan, Jide

doi:10.21125/inted.2016.1887

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The study agreed that big data facilitate researchers' real-time analysis of learning activities. Likewise, studies have discovered that neglecting the importance of big data in the educational decision-making process accounted for the failure to deliver developmental goals in Nigeria [11].…”

Section: A Big Datamentioning

confidence: 99%

Comparative Analysis of The Impact of Big Data on Corruption in Selected Developing and Developed Countries

Adebisi

Guermat²

2022

COMPUTE

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Big data analytics adoption is gaining momentum amongst both policy makers and business leaders. Indeed many sectors in the economy and society have been adopting recent information technology innovations to deal with issues that were previously impossible to tackle. One of these issues is corruption. This paper considers the impact of big data on corruption in developed and developing countries. Specifically, we investigate the effect of internet usage on corruption prevention and early detection, and examine the impact of investment in data-driven technology on corruption prevention and early detection. Finally, we evaluate the impact of mobile data subscription on total corruption. We use secondary data covering 1995 to 2020 for three low FinTech developing countries and three mature FinTech developed countries. Random effect regression models are employed to estimate and test for the impact of big data on corruption in developing and developed countries. We find that internet usage and fixed telephone subscription have a significant negative impact on corruption in developing countries. Investment in technology, mobile phone users subscription and gross domestic product also have a significant negative impact on corruption in developing countries. However, inflation has no significant effect on corruption in developing countries. In contrast, we find no significant impact of big data on corruption within developed countries. Big data adoption, therefore, seems to hinder corruption in developing countries, but not in developed countries.

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Section: A Big Datamentioning

confidence: 99%

Comparative Analysis of The Impact of Big Data on Corruption in Selected Developing and Developed Countries

Adebisi

Guermat²

2022

COMPUTE

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An Investigation into the Challenges Facing Collection and Distribution of Educational Data in F.C.T Educational Institutions, Abuja, Nigeria

Jacob

Samuel

Elizabeth³

et al. 2021

IJBTOB

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This study investigated the challenges facing the collection and distribution of educational data in F.C.T Educational institutions, Abuja, Nigeria. The researchers used descriptive research survey design for the study. The study comprised a population of one hundred and twenty (120) respondents which made up of data collection officers in the selected educational institutions across the FCT. Ten (10) data collection officers from each area council and ten (10) data collection officers from six departments/agencies/units within the ministries of education in Abuja were used in the study. Purposive, Stratified and systematic sampling technique was used to select the sample population from the educational institutions across Abuja. The reliability of the instrument was determined through the test re-test method. Data was collected by questionnaire and were analyzed using percentage and chi-square. The study led to the conclusion that inadequate funding, shortage of professional data collection officers, inadequate working materials, institutional corruption, poor capacity development programme of data collection officers, poor methods and approaches used for collecting data, poor supervision and inspection and political influence are the problems hindering effective data collection and distribution in educational institutions. The study also established that there is significant relationship between challenges and collection and distribution of educational data in schools. Based on this finding, the following were recommended: that the federal, state and local government should increase the funding of education and more priority should be given to data collection and distribution funding and the government at every level in FCT should employ more data collection officers and deploy them to the primary and secondary schools in FCT.

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The Use of Data in Policy-Making in Nigeria’s Educational Sector: Implications for National Development

Cited by 2 publications

References 8 publications

Comparative Analysis of The Impact of Big Data on Corruption in Selected Developing and Developed Countries

Comparative Analysis of The Impact of Big Data on Corruption in Selected Developing and Developed Countries

An Investigation into the Challenges Facing Collection and Distribution of Educational Data in F.C.T Educational Institutions, Abuja, Nigeria

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