首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Considering Model-based Adaptivity for Learning Objects
  • 作者:Hao-Chuan Wang ; Tsai-Yen Li
  • 期刊名称:Learning Technology
  • 印刷版ISSN:1438-0625
  • 出版年度:2004
  • 卷号:6
  • 期号:02
  • 出版社:IEEE Computer Society
  • 摘要:Adaptive Hypermedia (AH) and IMS Simple Sequencing (SS) are different approaches but both intend to attain a similar goal: tailored content for learning, just as Abdullah et al. discussed in [1]. However, these two distinct approaches have their own merits and defects. For SS, it takes the conformity with learning objects (LO) as the prime principle, and thus become the main approach to achieve dynamic presentation under the paradigm of using LOs to wrap up learning materials. But due to the absence of explicit domain and user models, SS cannot perform adaptivity in terms of learners’ cognition, such as prior knowledge, learning styles, etc. On the other hand, AH systems focus on constructing explicit models that represent various aspects of information related to decision making, such as user’s prior knowledge, preferences, learning domain, pedagogical knowledge, etc. Therefore, AH systems could perform elaborate decision making based on these models. However, issues like interoperability and reusability remain challenging to researchers in the AH field.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有