Date
Publisher
arXiv
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.
Study at a glance
- Question: How are large language models being used in education, and what are their challenges and future opportunities?
- Setting and data: Not stated in the abstract
- Method: Literature review (systematic review)
Why it matters
Large Language Models bring new possibilities to revolutionize educational practices and foster effective personalized learning. Educators and policymakers need a comprehensive technological picture of these tools, along with their risks and challenges, to harness their power.
Key findings
- Across the studies reviewed, large language models support students and teachers, enable adaptive learning, and power commercial educational tools.
- Deploying large language models in educational settings introduces notable technological risks and implementation challenges.
- Large language models show potential to foster more effective, personalized learning environments for students.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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Study design
