Artificial Intelligence Powered MOOCs: A Brief Survey

Simon Fauvel, Han Yu, C. Miao, Li-zhen Cui, Hengjie Song, L. Zhang, Xiaoming Li, Cyril Leung
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引用次数: 9

Abstract

Massive Open Online Courses (MOOCs) have gained tremendous popularity in the last few years. Thanks to MOOCs, millions of learners from all over the world have taken thousands of high-quality courses for free. Artificial intelligence (AI) has played an important role in making MOOCs what they are today. By exploiting the vast amount of data generated by learners engaging in MOOCs, AI techniques have been proposed to improve our understanding of MOOC participants and enable MOOC practitioners to deliver better courses. These approaches have also greatly improved student experience and learning outcomes through constructing intelligent and personalized learning trajectories. In this paper, we first review the state-of-the-art AI research making an impact on MOOCs education, emphasizing on works which aim to enhance our understanding of student learning behaviours, improve student engagement, and improve learning outcomes. We then offer an overview of important future research to carry out in sub-fields of AI to enable MOOCs to reach their full potential.
人工智能驱动的mooc:简要调查
大规模在线开放课程(MOOCs)在过去几年中获得了极大的普及。多亏了mooc,世界各地数以百万计的学习者免费学习了数千门高质量的课程。人工智能(AI)在mooc发展到今天的过程中发挥了重要作用。通过利用学习者参与MOOC产生的大量数据,人工智能技术已经被提出,以提高我们对MOOC参与者的理解,并使MOOC从业者能够提供更好的课程。这些方法还通过构建智能和个性化的学习轨迹,极大地改善了学生的体验和学习成果。在本文中,我们首先回顾了对mooc教育产生影响的最新人工智能研究,重点介绍了旨在增强我们对学生学习行为的理解、提高学生参与度和改善学习成果的研究。然后,我们概述了未来在人工智能子领域进行的重要研究,以使mooc充分发挥其潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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