基于教育大数据的高校定制化教育探讨:高校定制化教育

Huiying Cai
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引用次数: 0

摘要

随着网络的完善,网络教学逐渐成为一种重要的辅助教学手段。在整个教与学的过程中,会产生大量的教育数据。教育数据包含了大量需要挖掘的信息,有助于提高学与教的质量。本文将探讨如何整合这些来自不同教育平台的教育数据来指导个性化教育,即自主确定学习或教学内容。为实现教育定制化,提出了教育大数据利用的评价指标和详细方案。该方案包括对不同评价指标的数据采集、分析和可视化。本文的目的是利用这些数据指导大学生根据自己的状态进行有针对性的自主学习,促进学习进程。还可以指导教师有针对性地开展教学活动,提高教学质量。也有助于教学管理者了解学生的学习状态和教师的教学状态,从而提出更合理的教学计划和对策。本文为教育大数据的应用提供了一个完整的框架,可供不同的教育机构进行扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discussion on Customizable Education of Colleges Based on Educational Big Data: Customizable Education of Colleges
With the improvement of network, online teaching has gradually become an important auxiliary teaching mean. In the whole process of teaching and learning, a large amount of educational data is produced. Educational data contain a lot of information to be mined, which is helpful to improve the quality of learning and teaching. This paper will explore how to integrate these educational data that comes from different educational platform to guide customizable education which refers to determine the learning or teaching content independently. To realize the customizable education, the evaluation indicators and detail scheme to make use of the educational big data are proposed. The scheme consists of the acquisition, analysis and visualization of the data for different evaluation indicators. The purpose of this paper is to make these data guide undergraduates to carry out targeted autonomous learning according to their states to promote the learning progress. It can also guide teachers to carry out targeted teaching activities to improve teaching quality. And it is also helpful for teaching managers to have an insight into the learning state of students and the teaching state of the teachers, so as to put forward more reasonable teaching plans and countermeasures. This paper provided a whole framework for the application of the educational big data which can be extended by different educational institutions.
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