3～6岁儿童学习品质观察评价量表的研制
Observing and Evaluating Scale of 3～6-year-old Children's Approaches toward Learning
赵婧 1王喜海1
作者信息
- 1. 杭州师范大学教育学院,杭州 311121
- 折叠
摘要
为了编制出具有较高信效度、适用于本土3～6岁儿童的学习品质评价工具,本研究首先通过文献分析、访谈及非参与式预观察拟定量表框架,编制出初始量表,然后通过非参与式正式观察与再观察,对H市随机抽取的515名儿童在自主雪花片建构游戏中的学习品质行为表现进行测量,经过项目分析、因素分析最终确定的正式量表包含4个维度,17个行为指标,68个行为等级,量表各维度信度在0.708～0.845之间,整体量表信度达到0.893,各题项与总量表间的相关系数在0.466～0.694之间,各维度及各维度与题项间的相关系数在0.396～0.795之间,在验证性因素分析中模型拟合各指标结果符合统计学要求,表明本研究自编量表可以作为3～6岁儿童学习品质的观察评价工具.
Abstract
Through repeated measurement, analysis and adjustment, the approaches toward learning evaluating scale that suitable for local 3～6-year-old children with high reliability and validity is worked. Through literature review, interview and non participation previewing, the general framework of evaluating scale is drawn up, and the original observing and evaluating scale is compiled. Through non participation formal observation and re-observation, a random sample of 515 children in H city is measured with their approaches toward learning performance in snowflake self constructed games. The final dimensions and contents of the formal observing and evaluating scale is adjusted and identified by means of project analysis and factor analysis. The eventual evaluating scale includes 4 dimensions, 17 behavioral indicators, and 68 behavior levels. The reliability of each dimension of the evaluation scale is 0.708～0.845,and the overall evaluation scale reliability was 0.893. The correlation coefficient between each item and the whole evaluating scale is 0.466～0.694,among each items is 0.396～0.795. In the confirmatory factor analysis, the results of model fitting accord with statistical significance. The observing and evaluating scale by this study has good statistical significance. It can be used for an evaluation tool to 3～6-year-old children's approaches toward learning.
关键词
学习品质/建构游戏/观察评价/量表研制Key words
approaches toward learning/constructive game/observing and evaluating/scale compilation引用本文复制引用
基金项目
教育部人文社会科学研究一般项目(15YJC880069)
出版年
2018
NETL
NSTL
维普
万方数据