Education Science ›› 2019, Vol. 35 ›› Issue (2): 1-6.

    Next Articles

On Classification Model of Compulsory Education Student Academic Burden and its Application

He Mengjie1, Yang Tao2   

  1. 1. Fujian Assessment center for Basic Education Quality, Fuzhou 350003, China
    2. Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing 100875, China
  • Received:2019-02-25 Online:2019-03-15 Published:2021-06-30

Abstract:

The assessment of student academic burden should serve administrative decision making. Models available for quantitative academic burden analysis are limited in providing data for policy improvement. The classification model of student academic burden in this study contains study time, subjective studying feelings, academic achievement and their complex relationship. The classification model was verified through two-step cluster analysis of Grade 8 student math learning data from compulsory education quality assessment of Fujian province, which can provide reference for setting up frameworks for student academic burden assessments and the subsequent feedback and policy-making.

Key words: academic burden, compulsory education quality assessment, two-step cluster analysis

CLC Number: