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VOL. 11, ISSUE 1 (2026)
Bayesian inference for evaluating and improving effectiveness of ict on students’ academic performance and research Department of Statistics, Federal University of Lokoja
Authors
Ajare Emmanuel Oloruntoba, Olubunmi Temitope Olorunpomi, Olusegun Amos, Dare John Toluwani, Hafsat Olaide Salah
Abstract
Information and
Communication Technology (ICT) is an extension term for Information Technology
(IT). This research uses Bayesian inference to investigate, evaluate and improve
effectiveness of ICT on students’ academic performance and research. Department
of Statistics, Federal University of Lokoja. Existing literature suggests that
robust ICT professional development is linked to improved student
outcomes and increased lecturers/teachers retention rates. The research
conclude that students largely depend on ICT for accessing academic materials. ICT
variables collectively influence students’ academic performance. Among the
predictors, ICT_ACCESS has the strongest Resource allocation should emphasize high-impact
ICT components, particularly access and research-support tools, to ensure
efficient investment. Recommendation was put forward such as the
continuous monitoring and evaluation of ICT initiatives should be implemented
to measure effectiveness and guide future improvements, making it the most
significant factor in improving academic outcomes.
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Pages:133-136
How to cite this article:
Ajare Emmanuel Oloruntoba, Olubunmi Temitope Olorunpomi, Olusegun Amos, Dare John Toluwani, Hafsat Olaide Salah "Bayesian inference for evaluating and improving effectiveness of ict on students’ academic performance and research Department of Statistics, Federal University of Lokoja". International Journal of Advanced Research and Development, Vol 11, Issue 1, 2026, Pages 133-136
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