数字化测评中过程性指标的内涵与分类
Connotation and Classification of Process Indicators in Digital Assessment
周京 1张晓霞 2任晓琼 1姚学忠 3杨涛1
作者信息
- 1. 北京师范大学中国基础教育质量监测协同创新中心,北京,100875
- 2. 首都师范大学心理学院,北京,100048
- 3. 内蒙古赤峰市林西县第一中学,内蒙古赤峰,025250
- 折叠
摘要
数字化测评中的过程性数据为教育及心理评估带来不可或缺的隐性价值.目前针对过程性指标的定义与研究仍处于探索阶段,在分类体系和指标内涵上缺乏规范性.梳理国内外数字化测评中的过程性数据研究,将现有过程性指标划分为时间、一般动作和复杂策略三大类别,剖析每一类别内的指标内涵及其研究进展.对于过程性指标的特征提取方法,从自下而上和自上而下两个角度加以综述与归纳,并针对指标与潜在能力之间的模型评估及模型适用性进行对比分析.过程性指标研究在数据采集、分析解释、理论创新、方法技术及伦理法规等方面均面临诸多挑战,仍需不断探究及验证.
Abstract
Process data in digital assessment bring indispensable implicit value to education and psychological evaluation.Currently,the definition and research of process indicators remain exploratory,lacking normative guidance in terms of connotation and classification,thus impeding the promotion and development of digital assessment research.This paper systematically reviewed the research on process data in digital assessment at home and abroad,thoroughly analyzed the connotation and research progress of process indicators,categorizing them into three major types:time,general actions,and complex strategies.Additionally,it summarized and refined methods for extracting process indicators and evaluating models.Finally,it provided prospects for future research and applications of process indicators in the field of digital assessment in education and psychology.
关键词
过程性数据/日志文件/数字化测评/过程性指标Key words
Process Data/Log File/Digital Assessment/Process Indicators引用本文复制引用
基金项目
国家社会科学基金 "十四五"规划2022年教育学一般课题(BHA220143)
出版年
2024
NETL
NSTL
万方数据