Bayesian inference for evaluating the effectiveness of digital technology on degree project output of students of Biotechnology Federal University, Lokoja

Abstract

Digital library systems have transformed academic research by providing access to vast repositories of information, facilitating knowledge acquisition, and enhancing research output. At Federal University Lokoja (FUL), the adoption of digital library systems has become crucial for supporting academic activities and overcoming challenges associated with traditional library systems. This study evaluates the effectiveness of digital library systems effectiveness of biotechnology degree project output students research at FUL using Bayesian inference, a statistical approach that allows for robust analysis by incorporating prior knowledge and evidence from observed data. Findings reveal positive relationship exists between digital technology library usage and research output among Biotechnology students. The Bayesian analysis confirms that lack of technical support and poor internet connectivity are the two most significant challenges facing Biotechnology students in their use of the digital library system with both recording. The result of the analysis also shows that students are willing to use the digital library but are being stopped by factors outside their control. Digital library is contributing positively to research output but is limited by barriers such as poor internet connectivity and inadequate training.