首页> 外文期刊>International Journal of Emerging Technologies in Learning (iJET) >A Semi-Automated System for Recognizing Prior Knowledge
【24h】

A Semi-Automated System for Recognizing Prior Knowledge

机译:半自动识别先验知识的系统

获取原文
       

摘要

Adaptive e-learning systems are able to automatically generate personalized learning paths from the students’ profile. Generally, the student profile is updated with information about knowledge the student has acquired, courses the student has passed and previous work experience. Unfortunately, dealing with courses that students passed in other learning environments is very difficult, error prone and requires a lot of manual intervention. In addition, the recognition of external courses is a process that all institutions, on-site and online learning organization, must perform during the access of new students, since it can be greatly useful not only for personalization but also for recognizing the courses the students attended. In this paper, we propose an intelligent system that analyzes the academic record of students in textual format to identify what subjects the students studied in the past and therefore are potentially recognizable. In addition, the proposed system is able to enrich the information the institution has about the students’ background, facilitating the identification of personalized learning paths.
机译:自适应电子学习系统能够根据学生的个人资料自动生成个性化的学习路径。通常,使用有关学生已获得的知识,学生已通过的课程以及以前的工作经验的信息来更新学生资料。不幸的是,处理学生在其他学习环境中通过的课程非常困难,容易出错,并且需要大量的人工干预。此外,对外部课程的认可是所有机构,现场和在线学习组织在新学生入学期间必须执行的一个过程,因为它不仅对个性化而且对于识别学生的课程都非常有用。参加。在本文中,我们提出了一种智能系统,该系统可以以文本格式分析学生的学业记录,以识别学生过去学习过的科目,因此有可能被识别。此外,拟议的系统能够丰富该机构所掌握的有关学生背景的信息,从而有助于识别个性化的学习路径。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号