大数据时代学生综合素质评价:方法论、价值与实践导向  

Evaluation of Students' Comprehensive Quality in the Ara of Big Data: Methods, Values and Practical Guidance

作　　者：杨鸿[1,2] 朱德全 宋乃庆[4] 周永平[5] 

机构地区：[1]西南大学数学与统计学院,重庆400715 [2]重庆市教育考试院,重庆401147 [3]西南大学教育学部,重庆400715 [4]西南大学基础教育研究中心,重庆401174 [5]重庆市教育科学研究院,重庆400015

出　　处：《中国电化教育》2018年第1期27-34,共8页China Educational Technology

基　　金：全国教育科学"十二五"规划2014年度教育部重点课题"大数据时代我国考试评价的机制创新与发展战略研究"(课题编号DGA140208)的研究成果

摘　　要：为深入推进学生综合素质评价改革,有效解决学生综合素质评价中的现有问题。该文从大数据的视角探寻学生综合素质评价的改革方略。研究发现,大数据的整体思维、复杂思维和相关思维是方法论的变革,正引领着学生综合素质评价的范式转型。大数据对学生综合素质的全面诊断、精准预测可以促进学生的生命成长,实现教育价值的回归。大数据对学生综合素质评价的全域关照、立体全息和主体增值,可以推进"以学生为中心"智慧评价体系的构建。In order to further promote the reform of students＇ comprehensive quality evaluation, and effectively solve the existing problems in the evaluation of students＇ comprehensive quality, this paper explores the reform strategy of students＇ comprehensive quality evaluation from the perspective of big data. The research fund that, the overall thinking, complex thinking and related thinking of big data are methodological changes, leading to the paradigm transformation of students＇ comprehensive quality evaluation. The comprehensive diagnosis and accurate prediction of the comprehensive quality of students by big data can promote students＇ life growth and realize the return of educational value. The overall evaluation of the overall quality of students＇ by big data, the stereo holographic and the main value-added can promote the construction of ＂student centered＂ wisdom evaluation system

关 键 词：大数据 学生综合素质评价 方法论变革 价值回归 实践导向 

分 类 号：G434[文化科学—教育学]