The study investigated the awareness, use and institutional readiness for adopting Artificial
Intelligence (AI) in some selected polytechnics in Adamawa and Taraba States, Nigeria. The study
is designed to evaluate the preparedness of stakeholders in relation to AI implementation, and
assess the extent of use of Artificial intelligence practices in Teaching-Learning and administrative
processes. This study employed a descriptive survey design, using a quantitative approach. Data
were collected from a cohort of academic staff, administrative staff, ICT personnel and students
via a structured questionnaire that was validated in terms of content, reliability and usability by
members of the target population and then analysed using descriptive & inferential statistics. The
results show that respondents are somewhat knowledgeable about AI and view its potential to
improve educational outcomes in a favorable light. On the other hand, institutional readiness is
assessed to be low with major deficiencies in infrastructure, staff training and policy frameworks.
The research also finds that AI usage in academics and administrative areas tends to be largely
confined to niche pockets like research support. The conclusion is that there is strong awareness
and willingness among stakeholders, but the poor institutional capacity limits effective deployment
of AI. It calls for greater investment in infrastructure, capacity-building and those clear policies
be developed to guide the gradual and sustainable integration of AI into tertiary education.
Mohammed Hamidu· Research Journal of Pure Sci...· 0 citations
Artificial Intelligence (AI) is increasingly transforming higher education by enhancing teaching,
learning, research, and institutional administration. Despite its growing relevance, the adoption
of AI in many Nigerian polytechnics remains limited due to several institutional and technological
challenges. This study investigated the perceived benefits of Artificial Intelligence, barriers to its
adoption, and strategies for strengthening AI integration in selected polytechnics in Adamawa and
Taraba States, Nigeria. A descriptive survey research design employing a quantitative approach
was adopted. Data were collected from academic staff, administrative staff, ICT personnel, and
students using a structured questionnaire that was validated by experts for content and reliability.
The data were analysed using descriptive and inferential statistics. The findings revealed that
respondents perceived Artificial Intelligence as a valuable tool for improving teaching
effectiveness, research productivity, innovation, academic support, and institutional efficiency.
However, inadequate ICT infrastructure, insufficient funding, poor internet connectivity, limited
technical expertise, and inadequate staff training were identified as major barriers to effective AI
adoption. Respondents further emphasized that sustainable AI integration requires increased
investment in digital infrastructure, continuous capacity-building programmes, supportive
institutional policies, government intervention, and curriculum integration of AI concepts.
Inferential analysis indicated significant differences among respondent groups regarding
perceptions of AI benefits and significant associations between respondent category and perceived
barriers to AI adoption. The study concludes that Artificial Intelligence has considerable potential
to enhance educational quality and institutional performance in Nigerian polytechnics. However,
realizing these benefits requires deliberate investment in infrastructure, human capacity
development, policy formulation, and collaborative partnerships to support the sustainable
integration of AI into teaching, learning, research, and administrative processes.
Mohammed Hamidu, H. Yaro, Kamal Bukar· WORLD JOURNAL OF INNOVATION...· 0 citations
