文章基本信息

标题：INTELLIGENT PERSONALIZED SYSTEM FOR ENHANCING THE QUALITY OF LEARNING
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作者：DALIA HASSAN AHMED HASSOUNA ; AYMAN E. KHEDR ; AMIRA M. IDREES 等
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 studentsâ€™ 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