BioFit_AI: An Innovative Teaching Model Integrating Artificial Intelligence and Exercise Biology in Upper Secondary Biology Education

Abstract

Abstract —This paper presents BioFit_AI, an innovative educational intervention that integrates Artificial Intelligence (AI) into the teaching of secondary education Biology, in conjunction with the fundamental principles of Exercise Biology. The initiative aims to enhance students’ understanding of core biological concepts through interactive digital tools, effectively linking the theoretical knowledge of the curriculum with students’ lived experiences. AI-based applications support personalized learning, provide real-time feedback, and foster the development of critical thinking skills. Interactive simulations representing physiological systems—such as blood circulation, nervous system function, and musculoskeletal activity—enable students to explore biological processes in an active, inquiry-based, and scientifically grounded manner. The program also addresses the reproductive system through the use of an intelligent digital assistant and customized educational videos. Furthermore, students can manipulate variables including exercise intensity, nutrition, and environmental conditions, directly observing the body’s corresponding physiological responses. The integration of Exercise Biology enriches the learning experience by allowing students to investigate cardiovascular, respiratory, and musculoskeletal function during physical activity using real-time biometric data. Measurements such as heart rate, oxygen saturation, and respiratory rate are recorded instantly and connected to empirical data, thereby strengthening experiential learning and deepening understanding of concepts such as homeostasis, metabolism, and physiological adaptations to exercise. Through this process, students transition from passive observers to active researchers. The initiative contributes to the development of essential 21st-century skills: familiarity with AI tools promotes digital literacy, while the analysis and interpretation of biological data enhance critical thinking and creativity. Moreover, the interdisciplinary approach connects Biology with Mathematics (statistical analysis), Physical Education, Physics, and Informatics, broadening students’ understanding of knowledge across domains. On a social level, the intervention promotes healthy habits and well-being by highlighting physical exercise as a key component of a healthy lifestyle. Simultaneously, engagement with modern technologies and scientific practices strengthens students’ career orientation and cultivates active, informed citizenship. Overall, the findings underscore the pedagogical potential of experiential learning supported by AI in the teaching of natural sciences in secondary education. Specifically, Biology instruction is transformed into an engaging, multimodal, and applied learning process, fully aligned with the demands of contemporary education.