Which of the following is not considered a benefit of machine learning in education?

Machine learning is increasingly utilized in education for its ability to enhance learning experiences and streamline administrative tasks. The benefits associated with machine learning include automation of repetitive tasks, personalizing learning content to meet individual student needs, and providing a variety of learning pathways or menus that cater to different learning styles and preferences.

While various forms of immediate feedback can be generated by machine learning systems, it typically pertains to digital or online formats, such as quizzes or assignments, rather than physical feedback in a real-world context. In situations that involve physical interaction or hands-on learning, machine learning does not inherently provide instant feedback based on physical actions. Instead, this feedback usually relies on human intervention or additional technology that bridges the digital and physical realms. Thus, the aspect of providing instant physical feedback does not align with the core capabilities of machine learning in an educational context.