What type of study is this?

This is a Descriptive Survey study.

September 10, 2025

Assessing Lecturers’ Knowledge and Utilisation of Artificial Intelligence for Teaching and Research in Adamawa State Tertiary Institutions

MUMohammed UmarHasanuddin University SLSeon-bin LeeDankook University GBGidado Bakari Gidado Bakari

Key Points

Seventy-one percent of respondents understood AI, yet only 40–48% incorporated it into lessons and research.
Significant variation in AI utilisation was noted based on institution type, teaching experience, and perceived training adequacy.
Inadequate professional development (72%) and unreliable internet access (67%) are major barriers to AI implementation.
Proposed solutions include government funding for broadband and AI literacy integration into the curriculum.

Abstract

Artificial intelligence (AI) is rapidly reshaping global higher education, yet its diffusion within resource-constrained contexts remains poorly documented. This study assessed lecturers’ knowledge and utilisation of AI for teaching and research across six tertiary institutions in Adamawa State, Nigeria. Guided by a descriptive-survey design, a structured questionnaire was distributed to the entire population of 200 full-time lecturers, yielding a 100 % return rate. Descriptive statistics and Pearson chi-square tests analysed data in IBM SPSS 26. Results show 71 % of respondents understood the concept of AI, but only 40–48 % integrated AI deeply into lesson planning, assessment or research analytics. Utilisation varied significantly by institution type (χ² = 14.87, p = 0.011), teaching experience (χ² = 10.32, p = 0.016) and perceived training adequacy (χ² = 82.47, p < 0.001). Inadequate professional development (72 %) and unreliable internet access (67 %) emerged as critical barriers, whereas fear of job displacement was comparatively minor (35 %). Despite these constraints, over 86 % of lecturers endorsed regular AI workshops, improved institutional resources and government-backed policy support as pathways to adoption. The study concludes that Adamawa’s state lecturers possess foundational AI awareness but require focused capacity-building and infrastructural investment to translate knowledge into transformative practice. Consequently, it recommends ring-fenced government funding for broadband, National Universities Commission accreditation criteria mandating AI training, establishment of campus innovation hubs, union-negotiated incentives, bulk procurement of licensed software, curriculum integration of AI literacy and public–private partnerships for contextualised support as measures worth adopting. Implementing these measures will enable the state’s tertiary sector to harness AI’s potential for improved pedagogy, research output and student employability.

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