定制教育 人工智能在定制电子学习中的作用。

Gaurang Kanbur
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引用次数: 0

摘要

这项研究的动力来自于个性化电子学习系统在应对有效在线教育挑战方面的巨大潜力。它侧重于为个性化电子学习系统提出一个高效的架构框架,探索各种技术和挑战,并提供创新的解决方案。论文全面回顾了当前实施个性化电子学习系统的最先进方法,并讨论了成功部署的关键要求和挑战。此外,本文还提出了构建有效电子学习系统的高效框架,同时还讨论了研究界可以考虑的机制、挑战和未来研究方向。本文随后的章节详细探讨了相关研究,随后提出了个性化学习系统的建议,并深入探讨了研究界需要解决的重要问题。最后,本文总结了研究结果和贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customized Education Artificial Intelligence's Role In Tailored E-Learning.
This research is driven by the immense potential of personalized e-learning systems to address the challenges of effective online education delivery. It focuses on proposing an efficient architectural framework for personalized e-learning systems, exploring various techniques and challenges and offering innovative solutions. The paper conducts a thorough review of current state-of-the-art methodologies in implementing personalized e-learning systems, along with discussions on the crucial requirements and challenges for successful deployment. Furthermore, it presents an efficient framework for building effective e-learning systems, while also discussing mechanisms, challenges and future research directions that the research community can consider. The subsequent sections of this paper provide a detailed exploration of the research, followed by a proposal for a personalized learning system, and insights into important issues for the community to address. The paper concludes by summarizing its findings and contributions.
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