Scholarlink

E-learning offers flexible and accessible educational opportunities but also presents challenges, particularly in student assessment. In this context, we address the problem of time-consuming and non-personalized question creation for student evaluation. To face this, we introduce AI-QCM, a tool based on Large Language Models (LLMs), designed to automate question generation in both formative and summative contexts. The tool features a user-friendly interface, supports multiple question formats, personalizes content, produces multilingual output, and integrates seamlessly with Moodle. Experimental deployments at Cadi Ayyad University and UniDistance Switzerland demonstrate that AI-QCM significantly reduces exam preparation time, respects pedagogical and docimological principles, and enhances the e-learning experience for educators and students alike.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Automated Question Generation with AI: Enhancing Educational Systems Using LLMs at Cadi Ayyad University and UniDistance Switzerland

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Hiba Asri,
  • Henrietta Carbonel,
  • Jean Michel Julien,
  • Abdelali Rochdi

摘要

E-learning offers flexible and accessible educational opportunities but also presents challenges, particularly in student assessment. In this context, we address the problem of time-consuming and non-personalized question creation for student evaluation. To face this, we introduce AI-QCM, a tool based on Large Language Models (LLMs), designed to automate question generation in both formative and summative contexts. The tool features a user-friendly interface, supports multiple question formats, personalizes content, produces multilingual output, and integrates seamlessly with Moodle. Experimental deployments at Cadi Ayyad University and UniDistance Switzerland demonstrate that AI-QCM significantly reduces exam preparation time, respects pedagogical and docimological principles, and enhances the e-learning experience for educators and students alike.