DJCCMT

Delta Journal of Computing, Communications and Media Technologies

ISSN:3092-8478

Advancing research and innovation at the intersection of computing technology and media. A publication of Southern Delta University, Ozoro.

Delta Journal of Computing, Communications and Media Technologies(DJCCMT) is an open access double-blind peer reviewed and refereed Journal that brings together reasoned thoughts, research, and industry practice in areas of Computing, Artificial Intelligence, Robotics, System Engineering, Data Science, Analytics, Embedded Systems, Information and System Security, Media Studies, Communication Technologies, Information Science, Library Science, Educational Technologies, Applied Computing, and related disciplines in a reader-friendly format. The Journal is published online monthly with print version issue in February, May, August and November.

Delta Journal of Computing, Communications and Media Technologies

Volume 1 · Issue 1 · December 2024
Title of Paper

DIGITAL LITERACY AMONG LECTURERS IN THE AGE OF ARTIFICIAL INTELLIGENCE: A CASE STUDY OF TWO NIGERIAN SPECIALISED UNIVERSITIES

Abstract

This study examined digital literacy among lecturers in the age of artificial intelligence at the Federal University of Petroleum Resources Effurun (FUPRE) and the Nigeria Maritime University (NMU). Employing a descriptive survey design, the research targeted a population of 545 lecturers and drew a sample of 231 using Yamane’s formula. Data were collected via a structured questionnaire—validated and found reliable (r = 0.84)—and analyzed using descriptive statistics (frequencies, percentages, and weighted means). Findings indicate that while lecturers’ digital literacy concerning AI is slightly above moderate, their actual use of AI tools remains low. Common applications include research and writing, plagiarism detection, data analysis, presentations, content creation, and idea generation. Key barriers comprise inadequate internet services, limited management support, difficulties integrating AI into traditional pedagogy, time constraints, and high software costs. The study recommends targeted training programs and enhanced institutional support—improved internet access and AI tool subscriptions—to strengthen teaching and research. The insights inform capacity-building strategies in specialized Nigerian universities.

Authors

Ogochukwu T. Emiri,Osaze Patrick Ijiekhuamhen, Wilson Nwankwo

Keywords

Digital Literacy; Lecturers; Artificial Intelligence; Federal University of Petroleum Resources; Nigeria Maritime University

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