学习风格
人工智能
心理学
体验式学习
主动学习(机器学习)
学习心理学
风格(视觉艺术)
适应性学习
合作学习
人类智力
计算机科学
数学教育
教学方法
考古
历史
作者
Mohammed Elhossiny,Rania Eladly,Abdelnasser Saber
标识
DOI:10.21833/ijaas.2022.12.020
摘要
Traditional e-learning systems fall short in many respects when it comes to delivering content to learners in the most effective way. Research shows that e-learning systems are not accommodative of learners’ thinking and learning styles, which leads to poor performance. This paper proposes a way through which this problem can be addressed. The researcher believes that the technology of Artificial Intelligence can be integrated with the learning and thinking styles (Psychology) of learners in an e-learning system to provide an enriched learning experience. No attempts have been made so far to integrate Artificial intelligence and Psychology in an e-learning environment, making this paper unique. The paper explores this subject by designing a system that will be termed a “smart e-learning system.” The paper sought to propose Artificial Intelligence algorithms that will be applied to the learning and thinking styles of learners to come up with highly adaptive models for each student that enhances their learning experience. The significant difference in the performance of the control group and experimental group confirms that if psychology and AI are integrated, there is a significant improvement in the student learning experience in an e-learning system. This shows that Artificial Intelligence can work well with Psychology to enhance the learning experience in the e-learning environment.
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