机器学习对教育的辅助研究

Megha Gupta, Gunjan Batra
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引用次数: 0

摘要

机器学习作为定制化的学习和教学,可以帮助教师了解学生的背景、能力、学习速度以及基于不同因素的个人和累积表现反馈。当前,在全球疫情大流行的背景下,从学校到网络考试、办公,一切都转移到了网络平台上,成为发展和生存所必需的持续功能渠道。可以看到,在教育领域,特别是在高等教育领域,尽管存在一些局限性,但通过不断的努力,学术与技术的融合已经开始。本文讨论了机器学习如何扩展其在教育领域的根基,以及使用智能技术的机器将产生的利弊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Machine Learning Assistance to Education
Machine learning as customized learning and teaching can help access student’s background, aptitude, learning speed and feedback of individual and cumulative performance based on different factors to the teacher. Currently, in the times of a worldwide pandemic, everything from schools to online exams and offices has been shifted to the online platform and served as a channel in continuous functionality that is necessary for development and subsistence. It can be seen in the education sector, especially in Higher education that by continuous working, integration of academics and technology has started, despite several limitations. This paper discusses how Machine Learning is expanding it’s root in education sector as well as the pros-cons that will be generated by the machines using intelligent technology.
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