Utilizing AI Products for Teaching and Learning Complex Biology Model Concepts within the Nigerian Educational Context
*1Dalhatu Nuradeen and 2Usman Aisha Abdulrahman
*1Federal College of Education Gidan Madi Sokoto, Nigeria
2Sokoto State University, Sokoto
Abstract
The effective instruction of complex, abstract biological concepts, such as genetic pathways, cellular respiration, and ecological dynamics, remains a persistent pedagogical challenge in the Nigerian educational system. Traditional teaching methods often struggle to provide the necessary visualization and personalized feedback required for deep conceptual mastery. This paper explores the transformative potential of Artificial Intelligence (AI) products specifically Intelligent Tutoring Systems (ITS), AI-powered simulations, and AI-driven assessment tools as a strategic intervention. Drawing on empirical research in science education and contextual analysis of the Nigerian landscape, the study proposes a theoretical framework for AI integration. The analysis highlights significant opportunities for personalized learning and enhanced visualization, which are critical for model-based reasoning in biology. Simultaneously, it addresses the unique implementation challenges posed by the Nigerian context, including infrastructural deficits, teacher capacity gaps, and the need for relevant policy frameworks.
Keywords
Artificial intelligent Products, Teaching and Leaning, Biology complex models concepts
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