INCLUSIVE E-LIBRARY SYSTEMS IN THE AGE OF ARTIFICIAL INTELLIGENCE: PROMOTING DIGITAL SKILLS AND SUSTAINABLE INNOVATION IN NORTH EAST OF NIGERIA

Publication Details

Publication Date

09/06/2026

Volume / Issue

Vol 1, Issue 1 (2026)

Article No.

004

Journal

British Journal of Contemporary Research

Received

30 May 2026

Views

19

Downloads

6

Abstract

This study examined the role of inclusive e-library systems in promoting digital skills and sustainable innovation in tertiary institutions in North East of Nigeria. Specifically, it looked at the contributions of inclusive e-library systems toward digital skills development, identified challenges affecting AI-enabled e-library implementation, and determined strategies for promoting sustainable innovation through inclusive e-library systems. The integration of AI into electronic library systems has strengthened information accessibility, digital literacy development, and innovation capacity within higher education institutions. A descriptive survey research design was used. Lecturers, librarians, and students from particular postsecondary institutions made up the population. Using stratified random sampling methods, a sample size of 180 respondents was chosen. A systematic questionnaire called the Inclusive E-Library Systems and Sustainable Innovation Questionnaire (IELSSIQ) was used to gather data. For data analysis, the mean and standard deviation were used. The results showed that inclusive e-library systems greatly enhance information literacy, innovation capacity, and digital competencies. The main obstacles to adoption were found to be inadequate financing, inadequate AI literacy, and infrastructure deficiencies. To improve sustainable educational reform, the study suggests increasing institutional investment in AI-powered library infrastructure, ongoing programs for developing digital skills, and supportive policy frameworks.

License

This article is published under the Creative Commons Attribution 4.0 International License . Free to read, share, and adapt with attribution.