Application of Adaptive Systems with Artificial Intelligence in The Professional Training of Pre-Service Biology Teachers – Opportunities and Perspectives

This article examines the application of adaptive learning systems with artificial intelligence (AI) in the training of future biology teachers. These systems personalize the learning process according to students’ knowledge, interests, and pace, providing adaptive content, tasks, and real-time feedback. The OATutor platform illustrates how AI supports the acquisition of biological concepts, develops critical thinking, and enhances digital competencies. Through integration with Moodle and interactive features, an environment is created that combines automation, pedagogical support, and an individualized approach to learning. Three case studies – personalized explanations with generative AI, project-based learning with a virtual AI assistant, and virtual laboratories for experimental learning – demonstrate how adaptive systems foster critical thinking, engagement, and the development of professional and digital competencies in students. The article emphasizes that intelligent AI systems can be a valuable tool for contemporary biology education, combining automation, personalization, and pedagogical expertise in a single integrated environment.