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前言:学业素质评价即综合素质评价系统,主要利用大数据技术等现代化的科学技术进行教学工作的综合考评,对教学工作做出更加全面、系统的评价。在构建综合素质评价系统的时候,需要建立在教育教学数据的基础上,结合数据挖掘技术自动生成多元化、多指标、多种类的成绩报告单,能够更加准确的对学生的学业情况进行判断,对教育教学工作的效果进行有效识别,避免学业素质评价短视化和单一化的情况。一、中小学校学业素质评价体系的现状调查
Preface: The academic quality evaluation is the comprehensive quality evaluation system, which mainly makes use of the modern science and technology such as big data technology to carry out the comprehensive evaluation of teaching work and makes a more comprehensive and systematic evaluation of the teaching work. In the construction of comprehensive quality assessment system, we need to build on the basis of education and teaching data, combined with data mining technology to automatically generate multiple, multiple indicators, multiple types of report cards, to more accurately judge the academic situation of students, Effective recognition of the effectiveness of education and teaching work, to avoid short-sighted assessment of academic quality and a single situation. First, the primary and secondary school academic quality evaluation system status quo survey