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Recent advances in Natural Language Processing (NLP) have significantly enhanced text analysis and generation capabilities, introducing new tools that may help reduce student dropout rates. Concurrently, the growing adoption of Learning Management Systems (LMS) has contributed to an increase in educational data volume, creating opportunities for intervention through learning analytics applications. In this context, this study conducts a systematic review of research published over the past decade to investigate how NLP has been used to identify or mitigate the risk of student dropout in LMS such as Moodle and Canvas LMS. A search was performed across the Scopus and Web of Science databases, yielding a total of 142 results. After applying inclusion and exclusion criteria, 19 studies employing diverse approaches were selected and analyzed. Although relevant applications have been proposed, the results suggest that few studies provide data demonstrating the efficacy of such interventions, underscoring the need for further evidence to guide the implementation of NLP in these environments.

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Large Language Models and NLP in Learning Management Systems: A Systematic Review of Dropout Interventions

  • 会议论文

  • 发表日期：

    2026年

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  • Gabriel Miranda Cruz da Silva,
  • Fabrício Herpich,
  • Marina Carradore Sérgio,
  • Roberto Muñoz,
  • Vinícius Ramos,
  • Emanuel Marques Queiroga,
  • Andréa Sabedra Bordin,
  • Cristian Cechinel

摘要

Recent advances in Natural Language Processing (NLP) have significantly enhanced text analysis and generation capabilities, introducing new tools that may help reduce student dropout rates. Concurrently, the growing adoption of Learning Management Systems (LMS) has contributed to an increase in educational data volume, creating opportunities for intervention through learning analytics applications. In this context, this study conducts a systematic review of research published over the past decade to investigate how NLP has been used to identify or mitigate the risk of student dropout in LMS such as Moodle and Canvas LMS. A search was performed across the Scopus and Web of Science databases, yielding a total of 142 results. After applying inclusion and exclusion criteria, 19 studies employing diverse approaches were selected and analyzed. Although relevant applications have been proposed, the results suggest that few studies provide data demonstrating the efficacy of such interventions, underscoring the need for further evidence to guide the implementation of NLP in these environments.