The Application of a Large Language Model (LLM) in Education Reform and Innovation

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Artificial Intelligence and Digital Systems Engineering".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 140

Special Issue Editors


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Guest Editor
School of International Studies, Communication University of China, Beijing 100024, China
Interests: AI teaching system; education reform

Special Issue Information

Dear Colleagues,

A large language model (LLM) is a system that belongs to generative artificial intelligence technology represented by ChatGPT. It involves important content such as curriculum design, data-driven teaching decision making, teaching evaluation, teaching application, teaching optimization, curriculum teaching platform, talent cultivation, teaching innovation, etc. It requires continuous reform and innovation to improve the system and its quality. The application of an LLM is conducive to promoting scientific decision making of curriculum design and teaching management. Decision making, as a key link and important function of an LLM in education innovation, is directly related to normal operation and teachers’ effectiveness in using data tools, as well as regarding technological developments concerning scientific proof and quality. In an LLM supported by big data and artificial intelligence, there are a number of scientific research studies on curriculum design, teaching decision making and evaluation. By analyzing and processing these data, it can be transformed into important educational information. Ultimately, it can be integrated into the decision-making process in teaching management, which is conducive to providing a scientific basis and reference for education innovation and formulating strategies.

The following topics are welcome:

  • Reform of professional curriculum design in the perspective of a large language model (LLM);
  • Construction of teaching decision making from the perspective of a large language model (LLM);
  • Intelligent evaluation of teaching decision making from the perspective of a large language model (LLM);
  • Personalized learning strategies from the perspective of a large language model (LLM);
  • Teaching assistance strategies from the perspective of a large language model (LLM);
  • Language writing strategies from the perspective of a large language model (LLM);
  • Optimization approaches for curriculum teaching system from the perspective of a large language model (LLM);
  • Improving teaching management in light of big data analysis and LLMs;
  • Application of teaching platform supported by a large language model (LLM);
  • Ethical challenges of LLM applications.

Dr. Feng Zhang
Guest Editor

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Keywords

  • large language model application
  • big data
  • education innovation

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