DEPARTMENT OF VOCATIONALAND TECHNICAL EDUCATION

This study explores how automation is transforming workforce skills in the manufacturing industries of Edo State. In today’s rapidly evolving technological landscape, automation technologies such as robotics, artificial intelligence, and machine learning are not only streamlining production processes but also reshaping the skills required for modern jobs. By surveying workers, supervisors, and managers in key manufacturing hubs across Edo State, the research investigates the extent to which automation increases the demand for technical expertise and alters traditional labor roles. The findings reveal that while automation boosts productivity and opens up new job opportunities, many workers face challenges adapting due to limited training and resources. This study emphasizes the need for continuous learning and strategic collaboration among industries, educational institutions, and government bodies to bridge the skills gap. Ultimately, the research provides practical recommendations aimed at ensuring that the benefits of automation lead to economic growth and enhanced employability rather than job displacement. The insights from this study contribute to policy discussions and offer a roadmap for creating a more skilled, adaptable workforce in Edo State.

This study investigates the possibility of using solar energy as an alternative to the University of Benin's unstable electrical supply from the Benin Distribution Company (BEDC). Using a descriptive survey approach, data was collected from 100 students using a standardized questionnaire and analyzed using mean and standard deviation. The findings show that an irregular power supply disturbs academic activity, but solar energy provides economic and environmental benefits. However, obstacles such as funding and policy constraints exist. The analysis suggests supportive policies, financial incentives, and investments to encourage using solar energy on campuses