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May 6, 2026InformationOpen Access

Large Language Models in Intelligent Education Systems: New Educational Perspectives—A Systematic Review

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Authors

TITatyana IvanovaTechnical University of SofiaVTValentina TerzievaBulgarian Academy of Sciences

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Implication

Systematic review identifies tools like knowledge graphs and learning analytics for improving personalized education through AI.

Key Points

  • Assess how intelligent technologies can enhance the effectiveness of large language models in education.
  • Systematic review of recent literature from Google Scholar, ACM, IEEE Xplore, Scopus, and WoS.
  • Bibliometric analysis to refine search queries for relevant studies.
  • Full-text exploration of literature for critical analysis and deducing methodological approaches.
  • Integration of LLMs with knowledge graphs, ontologies, and analytical methods enhances adaptability.
  • Proposed methodological guidelines for effective LLM use in educational systems.
  • Identified new pedagogical approaches for utilizing LLMs in tutoring and assessment contexts.

Cite This Study

Ivanova et al. (2026) studied this question.

synapsesocial.com/papers/69faa2b504f884e66b53352fhttps://doi.org/10.3390/info17050433
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