Distributed intelligence is an approach to computing that uses distributed systems to compute complex tasks in parallel. This type of intelligence makes use of advancements in artificial intelligence, machine learning and distributed computing in order to process large datasets. It is also used to speed up tasks and maximize the capacity of the system by spreading out work across multiple computers. Distributed intelligence is used in a variety of applications, from autonomous vehicles to medical imaging. In education, distributed intelligence can be used to power learning analytics, create smart educational environments and personalize learners’ experiences. As distributed intelligence continues to evolve and become more widely used, it has the potential to revolutionize the world of education