首页    期刊浏览 2025年05月24日 星期六
登录注册

文章基本信息

  • 标题:Intelligent System Using Deep Learning for Answering Learner Questions in a MOOC
  • 本地全文:下载
  • 作者:Oussama Hamal ; Nour-eddine El Faddouli
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2022
  • 卷号:17
  • 期号:2
  • DOI:10.3991/ijet.v17i02.26605
  • 语种:English
  • 出版社:Kassel University Press
  • 摘要:Despite the great success of Massive Open Online Courses (MOOCs), the success rate of learners remains very low. Therefore, a lot of research has been done to understand and solve this abandonment problem. This work is part of the same effort which aims to improve learning in MOOCs. We offer an intelligent system capable of assisting the learner by providing answers to all his questions on the subjects covered in the MOOC. The architecture of our system is based on new advances in artificial intelligence, in particular the applications of deep learning in the field of natural language processing (NLP). The results obtained are quite interesting and demonstrate the relevance of our solution.
国家哲学社会科学文献中心版权所有