AI-powered Agro-science Simulations: Enhancing Comprehension and Application among University Students in the Niger Delta Region of Nigeria

Abstract

This study investigated the role of AI-powered agro-science simulations in improving the comprehension and application of agricultural concepts among university students in the Niger Delta region of Nigeria. With the increasing need for practical and interactive learning methods in agricultural education, the integration of Artificial Intelligence (AI) offers an innovative approach to enhancing student engagement and understanding of complex agro-science concepts. The research employs aquasi-experimental design with a pre-test and post-test control group structure, aimed at assessing the impact of AI-powered agro-science simulations on students' understanding and practical application skills.The study  involved the design and deployment of AI-driven agro-science simulation tools in university classrooms, where participants would interact with the simulations and engage in practical exercises related to agricultural practices, crop management, and environmental sustainability. Pre- and post-intervention assessments were conducted to measure changes in students’ understanding and application of the concepts. A questionnaire was used to gather qualitative feedback on the students’ experiences with the simulations.Data analyses were performed using SPSS, with statistical techniques including descriptive statistics, paired t-tests, and ANOVA to assess the effectiveness of the simulation tools. The research also explored other challenges and opportunities in implementing AI in agricultural education, considering the socio-cultural and technological context of the Niger Delta. The findings provided valuable insights into the potential of AI in revolutionizing agro-science education, contributing to the development of a more skilled workforce in the region’s agricultural sector.