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Leveraging Data-Driven Analytics to Rejuvenate Nigerian Tertiary Institutions: The Need for Intervention

Williams Kennedy George & Edidiong Isonguyo Silas, PhD, Catherine Ubong Akpan, Ph.D

Abstract

This study explored data-driven analytics to enhance the quality of teaching and learning in Nigerian tertiary institutions. With a focus on leveraging data-driven approaches, the research investigated the potential benefits and challenges associated with integrating data analytics in the educational institutions. The research methodology primarily relied on literature including journals, scientific research articles, theses, and conference reports. The findings of this study revealed the pivotal role of big data in tertiary institutions, highlighting its capacity to strategically leverage information technology resources for enhancing the quality of education and providing valuable guidance to students. Effectively processing data sets generated daily poses a challenge in extracting meaningful knowledge for students, instructors, administrators, and the public in Nigerian tertiary institutions. The study noted Nigerian tertiary institutions lack adequate information technology infrastructure, tools, and human expertise required for proficiently collecting, cleansing, analyzing, and visualizing data. The study recommended the adoption of data-driven strategies as a catalyst for innovation and improvement in Nigerian tertiary institutions aimed at fostering data literacy and analytical skills among all stakeholders, including staff and students in Nigerian tertiary institutions. Furthermore, the study maintained that educational institutions and industries should invest in programs geared toward bolstering students' performance in the Nigerian tertiary institutions

Keywords

Big dataNigeriaTertiary institutionsChallengesWay Forward

References

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