首页    期刊浏览 2025年06月27日 星期五
登录注册

文章基本信息

  • 标题:Sentiment analysis; Semantic models; Topic mining; Automated essay grading; Reading strategies; Computer Supported Collaborative Learning; ReaderBench framework.
  • 本地全文:下载
  • 作者:Gabriel Gutu ; Mihai Dascalu ; Stefan Trausan-Matu
  • 期刊名称:Romanian Conference on Human-Computer Interaction
  • 印刷版ISSN:2344-1690
  • 出版年度:2016
  • 卷号:RoCHI 2016
  • 页码:95-102
  • 语种:English
  • 出版社:Matrix ROM
  • 摘要:In this paper we introduce the online version of our ReaderBench framework, which includes multi-lingual comprehension-centered web services designed to address a wide range of individual and collaborative learning scenarios, as follows. First, students can be engaged in reading a course material, then eliciting their understanding of it; the reading strategies component provides an in-depth perspective of comprehension processes. Second, students can write an essay or a summary; the automated essay grading component provides them access to more than 200 textual complexity indices covering lexical, syntax, semantics and discourse structure measurements. Third, students can start discussing in a chat or a forum; the Computer Supported Collaborative Learning (CSCL) component provides indepth conversation analysis in terms of evaluating each member’s involvement in the CSCL environments. Eventually, the sentiment analysis, as well as the semantic models and topic mining components enable a clearer perspective in terms of learner’s points of view and of underlying interests.
国家哲学社会科学文献中心版权所有