个性化学习环境

M. Montebello
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引用次数: 1

摘要

高等教育背景下的多种技术结合在一起,试图提供具有虚拟学习环境的个性化教育。人工智能(AI)通过学习者分析技术提供所需的个性化,学习者分析技术采用学习者自己生成的学习数据分析,在传播和不断完善每个学生独特的个人资料的过程中。在本文中,我们介绍了我们在几年前开发的个性化学习环境方面的工作,该环境是通过整合包括深度学习和可解释人工智能在内的新型机器学习技术而发展起来的。取得的良好成果和来自学习者和教育工作者的积极反馈为许多建议和最佳做法提供了空间。在论文的最后,我们提出了一些未来的研究方向,这些方向将继续为我们开发和使用虚拟学习环境的方式提供潜在的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Learning Environments
The combination of a number of technologies within the context of higher education are brought together in an attempt to provide personalized education with a virtual learning environment. Artificial Intelligence (AI) provides the required personalization through the engagement of learner profiling techniques that employ learning data analytics generated by the learners themselves in a process that propagates and continuously refines a unique profile for every individual student. In this paper we present our work on the personalized learning environment developed few years ago and that evolved through the integration of novel machine learning techniques that include deep learning and explainable AI. The favourable results achieved and the positive feedback from learners and educators provide scope for numerous recommendations and best practices. We close our paper with some future directions that this research continues to provide and that potentially characterize the way we develop and employ virtual learning environments.
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