TOKYO, May 15, 2024
/PRNewswire/ -- The 24th International Conference on Artificial
Intelligence in Education (AIED) took place in July 2023 in Tokyo,
Japan. A highlight of the event was the workshop titled
"Empowering Education with Large Language Models: The Next
Generation of Content Generation and Interactive Interfaces", which
was organized by Squirrel Ai with the support of several leading
global research organizations in the field of AI-driven education,
including Carnegie Mellon University,
the University of Michigan, the
University of Memphis, the Guangdong
Institute of Smart Education, and Beijing Normal University.
Squirrel Ai co-founder and CTO Fan
Xing and co-founder Joleen
Liang shared the company's research findings as well as the
technological applications of its AI-powered adaptive education
technology with educational AI scientists; discussing its potential
integration with large language models (LLMs).
Squirrel Ai, a frontrunner in China's educational AI sector, has nearly a
decade of experience in merging AI with educational strategies. The
company's adaptive learning system significantly improves students'
learning outcomes, as proven by positive feedback from millions of
students and hundreds of human-machine competitions, and is an
exemplar of the efficacy of digital education and human-machine
interaction..Squirrel Ai's adaptive system develops a
micro-granularity knowledge map for each subject taught in primary
and secondary education curriculums. The system dynamically
assesses students' knowledge mastery, identifies areas for
improvement within the knowledge map, and provides personalized
content recommendations. Additionally, Squirrel Ai's adaptive
system employs its proprietary MCM (Mode of Thinking, Capability
and Methodology) model to aid students in developing critical
thinking and learning skills across different subjects. By creating
unique learning profiles and goals and designing
tailored learning paths and feedback mechanisms, Squirrel Ai's
adaptive system offers a truly personalized educational
experience.
During the workshop, Squirrel Ai and participants explored
the latest achievements and vast potential of LLMs in
education. With the support of these models, the firm's adaptive
education system can exhaustively analyze the causes of errors and
guide multi-turn conversations in depth to deepen phased, heuristic
learning. Furthermore, LLMs have also strengthened Squirrel Ai's
system to provide better essay writing guidance, deliver customized
learning reports, and provide emotional support, resulting in a
more personalized AI-based learning companion that understands
students better and further improves learning efficiency.
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SOURCE Squirrel Ai Learning