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In the contemporary educational landscape, characterized by the pervasive influence of globalization and rapid advancements in digital technologies, Artificial Intelligence (AI) has emerged as a transformative force. Its increasing prominence is driven by the widely held belief that AI can significantly enhance various aspects of student learning, particularly within the crucial domains of Science, Technology, Engineering, and Mathematics (STEM). These potential benefits encompass improvements in student attitudes towards learning, academic achievements, communication and collaborative skills, and the development of robust problem-solving abilities. Furthermore, the integration of AI within science education has piqued student interest in exploring potential career paths, emphasizing the critical need for ongoing professional development opportunities to effectively leverage AI's potential within the learning process. This study aims to comprehensively investigate the multifaceted contributions of AI in revolutionizing science education, with a particular focus on analyzing its impact on both in-class and out-of-class learning experiences, ultimately seeking to understand how AI can effectively facilitate improved learning outcomes for students.