INTEGRATION OF ARTIFICIAL INTELLIGENCE (AI) IN ENVIRONMENTAL EDUCATION CURRICULUM

Abstract

This study examined the integration of Artificial Intelligence (AI) in the Environmental Education curriculum at Benjamin Uwajumogu (State) College of Education. The study investigated the extent of AI integration, AI-enabled teaching and learning strategies, challenges affecting integration, and measures for improving AI integration in environmental education. A descriptive survey research design was adopted for the study. The population comprised lecturers and students in the Environmental Education Department of the institution. A sample size of 120 respondents, consisting of 20 lecturers and 100 students, was selected using simple random sampling technique. Data were collected using a structured questionnaire validated by experts in environmental education and educational technology. The reliability coefficient of the instrument was 0.75 using Cronbach Alpha method. Data were analyzed using frequency counts, percentages, mean, and standard deviation. Findings revealed that the level of AI integration in environmental education was low due to inadequate ICT infrastructure, poor electricity supply, lack of trained personnel, and insufficient curriculum inclusion of AI concepts. The study further showed that AI-enabled learning strategies such as adaptive learning systems, virtual simulations, and interactive digital tools were rarely utilized. Major challenges identified included inadequate funding, high cost of AI technologies, poor internet connectivity, and lack of institutional support. The study concluded that effective integration of AI in environmental education requires improved infrastructure, curriculum reforms, and capacity building for educators. The study recommended increased government investment in ICT facilities, lecturer training, curriculum modernization, and institutional support for AI-based teaching and learning.