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

Приложение на адаптивни системи с изкуствен интелект в професионалната подготовка на бъдещи учители по биология – възможности и перспективи
Application of Adaptive Systems with Artificial Intelligence in The Professional Training of Pre-Service Biology Teachers – Opportunities and Perspectives

Author(s): Asya Asenova
Subject(s): Philosophy, Social Sciences, Economy, Education, Special Branches of Philosophy, Adult Education, Higher Education , ICT Information and Communications Technologies, Philosophy of Education
Published by: Нов български университет
Keywords: digital competencies; generative AI; interactive platforms; Moodle integration; personalized learning; project-based learning

Summary/Abstract: 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.

  • Issue Year: 2025
  • Issue No: 12
  • Page Range: 127-140
  • Page Count: 20
  • Language: Bulgarian
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