The role of Artificial Intelligence (AI) in science education gained momentum as educators pursued innovative and effective strategies to enhance students' learning outcomes. The review article analyzed various research reports in physics, chemistry, and biology (PCB) education that discussed the development of AI systems to achieve learning objectives and the utilization of AI for evaluating students' performances. The article classified the role of AI in PCB education separately, offering a comprehensive overview of its applications in these specific fields. The advantages of incorporating AI techniques into PCB education were also examined, with some reports indicating that AI-powered learning systems could enhance motivation, conceptual understanding, problem-solving skills, engagement, critical thinking, and reduce cognitive load among students. The review concluded by discussing the overall benefits and challenges of using AI in science education. Some challenges included ethical concerns, teacher training, and the need for ongoing research to ensure that AI technologies were effectively integrated into PCB education. However, the potential benefits of AI, such as tailored learning experiences and improved students' academic achievements, suggested that AI had a crucial role to play in shaping the future of science education and empowering the next generation of learners.
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S. Anand (2024) studied this question.
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