Artificial Intelligence Innovation and Its Influence on Teaching and Learning Effectiveness among Educators and Innovators in Ikot Ekpene Metropolis
Abstract
This study examined the transformative potential of Artificial Intelligence (AI) in revolutionizing teaching and learning within Ikot Ekpene Metropolis, Akwa Ibom State. Despite global advancements in AI-driven education, its application in the study area remains limited due to infrastructural, cultural, and knowledge-related challenges. Anchored on the Technology Acceptance Model (TAM) and the Diffusion of Innovation (DOI) Theory, the study investigated educators’ awareness, perceived usefulness, and the influence of infrastructural and socio-cultural factors on AI adoption in education. A mixed-methods research design was employed, combining a descriptive survey of 250 respondents (educators and innovators) with interviews of 10 key informants. Data were analyzed using descriptive statistics, Pearson Product Moment Correlation (PPMC), and multiple regression analysis. Findings revealed a moderate level of awareness of AI among educators and innovators, but a high perception of its usefulness in enhancing teaching and learning. Results also showed that infrastructural and socio-cultural barriers significantly affect the adoption and integration of AI tools. Furthermore, significant positive relationships were found between AI awareness, perceived usefulness, and adoption levels (p < 0.05). The study concludes that Artificial Intelligence has the capacity to transform education in Ikot Ekpene by improving personalization, engagement, and instructional efficiency. However, effective implementation requires targeted capacity building, infrastructural investment, policy formulation, and collaboration between educators and innovators.
