Impact of Integrating Artificial Intelligence into Science Education: A Systematic Review of Current Literature and Practices
Keywords:
Artificial Intelligence, Science Education, Systemic Review, Students, NigeriaAbstract
This paper reviews the integration of Artificial Intelligence (AI) in science education, with a particular focus on its impact within the Nigerian educational system. The research identifies key themes, methodologies, and findings from current literature, analyzing how AI affects teaching and learning outcomes in science. It evaluates global practices in integrating AI into science education, comparing developed and developing countries, to provide a balanced view of AI’s potential and limitations. In Nigeria, AI adoption is still in its early stages, facing challenges related to inadequate infrastructure, limited teacher training, and issues of equity. The study investigates these barriers, highlighting the disparities between urban and rural educational settings, and assesses how these factors impact student engagement, motivation, and learning outcomes. Additionally, this research examines the different strategies and approaches used globally, exploring how these can be adapted for Nigeria. Based on the findings, the study formulates evidence-based recommendations for policymakers and educators on best practices for integrating AI in science education. These recommendations emphasize the need for equitable and sustainable AI initiatives to ensure that all students, regardless of location or resources, can benefit from AI-enhanced learning experiences. The study aims to inform policy decisions that will foster the responsible and effective use of AI in Nigerian science education
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