Artificial Intelligence and Job Productivity of Academics in Universities in Lagos State
Abstract
This study investigated the influence of Artificial Intelligence (AI) on the job productivity of academics in public universities in Lagos State, Nigeria. The study adopted a descriptive survey research design and covered two public universities in Lagos State. The study purposive adopted sampling technique to select forty-eight academic staff from the Departments of Educational Management in both institutions. Data were collected using a structured questionnaire titled Artificial Intelligence and Academic Staff Job Productivity Questionnaire (ASJPQ). Descriptive statistics, including mean and standard deviation, were employed to analyze the data. Findings revealed that the use of AI significantly enhanced teaching effectiveness by improving lesson preparation, instructional delivery, literature search, academic writing, and assessment practices. The results also showed that AI positively influenced research productivity through improved data analysis, collaboration, innovation, and dissemination of scholarly outputs. Furthermore, AI integration moderately reduced administrative workload by facilitating time management, task automation, and efficient handling of academic responsibilities. The study concluded that AI, when ethically deployed and supported by adequate infrastructure and capacity-building initiatives, serves as a strategic tool for enhancing academic productivity in higher education institutions. It therefore recommended continuous professional development, institutional policy frameworks for ethical AI use, investment in digital infrastructure, and the adoption of AI-driven workload management systems.
Keywords
Artificial Intelligence, Academic Productivity, Teaching Effectiveness, Research Quality, Administrative Workload, Higher Education, Nigeria
Authors
Rashidat Adenike, OSISAMI, Ambali Abayomi, ALAKA, Michael Elijah, KUSIKA
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