FUTURE RESEARCH SKILLS: AN INNOVATIVE MODEL FOR DEVELOPING STUDENTS' SCIENTIFIC RESEARCH SKILLS IN BIOLOGY LESSONS IN THE ERA OF ARTIFICIAL INTELLIGENCE

Abstract

In contemporary society, scientific literacy, research competence, and the effective use of digital technologies have become essential twenty-first-century skills for students. The rapid development of generative artificial intelligence has introduced new opportunities into biology education and created the need for innovative approaches to organizing students' scientific research activities. This article examines the scientific and methodological foundations for integrating artificial intelligence tools into research-based learning in biology classes. The author proposes the Future Research Skills (FRS) model, which provides a framework for developing students' abilities to formulate research questions, generate hypotheses, design experiments, analyze data, and present scientific findings. In addition, the article presents practical examples of using virtual laboratories, digital educational platforms, and generative artificial intelligence tools in biology instruction to enhance students' research competence and scientific thinking.