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文章基本信息

  • 标题:Adaptive e-Assessment System: A General Approach
  • 本地全文:下载
  • 作者:David Baneres ; Xavi Baró ; Ana-Elena Guerrero-Roldán
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2016
  • 卷号:11
  • 期号:7
  • 页码:16-23
  • 语种:English
  • 出版社:Kassel University Press
  • 其他摘要:On any type of course (on site or online), a learner is evaluated whether he has acquired the knowledge and competences provided in the course. The evaluation should be performed by evaluating his progression by means of the interaction in the classroom or assessment activities. Mostly, assessment activities are used to check the level of expertise of the learner. Typically, the assessment model and assessment activities of subjects in official programmes are the same for all the learners, since they should be evaluated having the same opportunities and conditions. However, when the learner is evaluated based on a continuous assessment model, he is demonstrating on each activity his knowledge and proficiency level and, at the same time, his reputation could be also built based on the actions he is performing within the course. Therefore, the assessment model can be particularly adapted for each learned based on this information. In this paper, we present a general system to adapt any component of the assessment process (model, activity, question…) based on different evidences gathered from the learning process of the learner.
  • 关键词:adaptive assessment;adaptive learning;trust; security;e-learning
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