  The advent of Large Language Models (LLMs) has brought in a new era of
possibilities in the realm of education. This survey paper summarizes the
various technologies of LLMs in educational settings from multifaceted
perspectives, encompassing student and teacher assistance, adaptive learning,
and commercial tools. We systematically review the technological advancements
in each perspective, organize related datasets and benchmarks, and identify the
risks and challenges associated with deploying LLMs in education. Furthermore,
we outline future research opportunities, highlighting the potential promising
directions. Our survey aims to provide a comprehensive technological picture
for educators, researchers, and policymakers to harness the power of LLMs to
revolutionize educational practices and foster a more effective personalized
learning environment.
