cognizancejournal.com Desman Telaumbanua, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.1, January 2025, pg. 78-84 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 77.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 78 THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING THE QUALITY OF BIOLOGY LEARNING Desman Telaumbanua Program Studi Pendidikan Biologi Universitas Nias, Indonesia desmantel60@gmail.com DOI: 10.47760/cognizance.2025.v05i01.007 Abstract: This study aims to explore the role of Artificial Intelligence (AI) in improving the quality of biology learning at the secondary education level. This research uses a literature review approach, which is a research method that is carried out by collecting, analyzing, and synthesizing information from various relevant written sources. The results show that AI plays an important role in facilitating the visualization of complex biological concepts, providing adaptive learning experiences tailored to students' individual abilities, and offering virtual laboratories that allow biological experiments without the limitations of physical facilities. However, challenges in its implementation, such as limited infrastructure, lack of teacher training, and high implementation costs, are still major obstacles. Teachers and students' perceptions of AI are generally positive, with many feeling that the technology improves students' understanding and motivation to learn. However, the role of teachers as facilitators remains important in overcoming the technical challenges faced by students. This study concludes that despite the challenges, the application of AI in biology learning has great potential to improve the quality of learning, and there needs to be more attention to aspects of training, infrastructure, and education policies that support the widespread application of this technology. Keywords: Artificial Intelligence, Biology Learning, Learning Quality, Visualization, Adaptive Learning, Virtual Laboratory I. INTRODUCTION Artificial Intelligence (AI) has become one of the most significant technological innovations of the 21st century (Mubarik et al., 2024). In various sectors, including education, AI has made a significant contribution in improving the efficiency and effectiveness of the learning process (Fitri & Dilia, 2024). In the field of biology, which has material complexity and various abstract concepts, AI offers various innovative solutions that can improve the quality of learning. Biology learning often involves a deep understanding of the structure, function, and interactions of living organisms (Lasaiba, 2023). The use of AI technology can help students understand complex material through visualization, simulation, and personalization of the learning process. For example, AI-based technology can create three-dimensional (3D) models of the structure of human cells or organs, allowing students to learn the material in a more interactive way. One of the main benefits of AI in biology learning is its ability to provide adaptive learning. AI-based learning systems can adapt the material to the needs and learning speed of students. This allows each student to have a personalized learning experience, so they can more easily understand difficult concepts such as genetics, evolution, and ecology. In addition, AI also supports scientific exploration through simulation. In biology learning, AI-based simulations can be used to predict the effects of environmental changes on ecosystems or to understand genetic mechanisms in a more dynamic way (Tarumingkeng, n.d.). This not only improves understanding, but also encourages students to think critically and creatively.