基于文本特征挖掘的高考英语(浙江卷)写作题型探析

Text mining-based analysis of the writing tasks of the National Matriculation English Test(Zhejiang)

立足高考命题中具有典型意义和引导性的题型,阐释命题策略,能更好发挥高风险考试的正面反拨效应。本研究以2016—2021年高考英语(浙江卷)综合写作新题型为研究对象,从信息密度、主题词、词汇分布等维度探究读后续写和概要写作的文本特征。结果表明,浙江卷写作试题的词汇密度均值为54.33%。在综合写作题的文本中,95%的词汇属于高中英语课程标准一级、二级词族,符合当前我国中学英语教学的实际情况。

The analysis of typical and innovative test tasks as well as the explanation of test design may help promote positive washback effect of high-stakes test.This study takes integrated writing tasks of National Matriculation English Test(Zhejiang)from 2016 to 2021 as the research subject,and explores the read-to-write continuation task and summary writing task in terms of vocabulary density,topic words,and vocabulary distribution.The results show that the average vocabulary density is 54.33%.In the integrated writing tasks,95%of the vocabulary in source text belongs to the first-level and second-level word family of high school English curriculum standards.