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文章基本信息

  • 标题:Recommendations for Building Adaptive Cognition-based E-Learning
  • 作者:Mostafa Saleh ; Reda Mohamed Salama
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2018
  • 卷号:9
  • 期号:8
  • DOI:10.14569/IJACSA.2018.090850
  • 出版社:Science and Information Society (SAI)
  • 摘要:Adapted e-Learning systems try to adapt the learning material based on the student’s preferences. Course authors design their courses with their students’ styles and in mind, course delivery should match the student style, and student assessment should also be adapted to match each specific student’s learning style, while student portfolio helps identifying the student model. To the best of our knowledge, no clear recommendation for building community wide adapted and personalized e-learning systems. This paper presents recommendations to add adaptation and personalization to one of the most common open source Learning Management System (LMS), Moodle. The adaptation features are based on using learning styles, ontology, and cognitive Bloom Taxonomy in building and presentation of the e-learning material (Learning Objects). This is helpful to establish adaptable and cognition-based Learning Object repository and course development centers.
  • 关键词:Adaptive e-learning; learning objects; learning styles; student models; open source LMS; Moodle; personalized teaching model
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