What is AI in education commonly used for?

AI in education is commonly used for the personalization of learning experiences. This approach allows educators to tailor educational content and strategies to meet the individual needs, preferences, and learning paces of students. Through AI-powered systems, data can be analyzed to identify student strengths and weaknesses, enabling the design of customized pathways for learning that can enhance engagement and improve outcomes. This technology supports adaptive learning, where educational resources adjust in real-time based on student performance, thus providing a more focused and effective learning experience.

Other options do not emphasize the role of AI in customizing or tailoring learning. For instance, enhancing teacher evaluations, while important, does not directly involve the personalization of student learning experiences. Reducing classroom sizes pertains more to physical learning environments rather than leveraging AI technologies. Similarly, standardizing curricula focuses on uniformity across educational institutions and does not inherently involve using AI to tailor education to individual student needs.