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清华大学教育研究[ISSN:1001-4519/CN:11-1610/G4]

卷:

期数:

2018年02期

页码:

38-43

栏目:

教育改革与发展

出版日期:

2018-04-20

文章信息/Info

Title:

Constructing?the?Teaching?Quality?Evaluation?System?of?Higher?Education?in?Big?Data?Era

作者:

马星¹王楠²

1.北京航空航天大学 人文社会科学学院 2.首都师范大学 教育学院

Author(s):

MA Xing¹WANG Nan²

1.School of Humanities and Social Sciences,Beihang University 2.College of Education,Capital Normal University

关键词:

大数据; 以学生为中心; 学生学习结果; 教育效能; 质量评价

Keywords:

big data;  student-centered;  student learning outcomes;  educational effectiveness;  quality evaluation

分类号:

G649.21

DOI:

10.14138/j.1001-4519.2018.02.003806

文献标志码:

A

摘要:

大数据时代对高等教育发展来说既是机遇也是挑战。对于高校教学质量评价而言，以大数据为依托可以收集更多的数据材料作为评价的依据，但与此同时，这也为从体量巨大的数据材料中找到准确、有效的信息增加了难度。在大数据背景下，只有将“以学生为中心”和“以数据为依托”作为高校教学质量评价的价值引领和技术支持，逐步构建具有全过程、多层级、双功能特征的评价体系，才能实现由大数据带来的学习变革。为了实现这一目标，高等学校要实现常态化地收集数据、多样化地应用数据、制度化地管理数据。

Abstract:

The “Big Data” era brings both opportunities and challenges for the development of higher education. As for the evaluation of teaching quality in higher education, big data on one hand provides more evidential materials, while on the other hand increases the difficulty to extract appropriate and effective information from the immense volume of data. To promote substantive learning transformation in the big data era, we need to take the concepts of “student-centered” and “data-based” as the core elements of teaching quality evaluation and devote to build up a full-process, multi-dimension, and dual-function evaluation system. The data need to be collected on a regular basis, utilized in multiple areas, and managed with institutionalized regulations. Therefore, the collection, utilization and management of the evaluation data should become normal, diversified and institutionalized practices.

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更新日期/Last Update: 2018-04-20