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  • 标题:INTELLIGENT PERSONALIZED SYSTEM FOR ENHANCING THE QUALITY OF LEARNING
  • 本地全文:下载
  • 作者:DALIA HASSAN AHMED HASSOUNA ; AYMAN E. KHEDR ; AMIRA M. IDREES
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2020
  • 卷号:98
  • 期号:13
  • 页码:2199-2213
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This study proposes an approach for students’ learning style personalization. The study presents both the importance and the theoretical basis of learning styles. One of these perspectives is how self-reported learning style inventories are controversial, while others view learning styles as strategies that can be adjusted to specific tasks and conditions. To determine the efficacy of the proposed approach, an experiment has been applied and a set of Canadian Institute College students have been examined. This study concludes that we need to offer alternative ways to connect various learning styles when teaching the university students which would enable the teaching process to use different learning approaches and activities which would lead eventually to enhancing the learning process.
  • 关键词:Personalization;Correlations;Learning Style Detection
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