基于课程的句子级别测量和语言样本分析的技术特征,用于有写作困难的学生
Emily A Reno1,2, Seohyeon Choi3, Kristen L McMaster3
1University of Maryland, USA.
Journal of learning disabilities
|August 12, 2025
概括
两个语言样本分析 (LSA) 指标,T-Unit在形态词的平均长度 (MLTU-M) 和不同单词的数量 (NDW),显示出测量口语语言技能以改善写作能力评估的希望.
科学领域:
- * 教育心理学 教育心理学
- * 语言学 语言学
- * * 特殊教育 特殊教育
背景情况:
- *口头语言能力对于发展强大的写作能力至关重要.
- * 现有的口语和书面语言测量工具存在局限性.
- *语言样本分析 (LSA) 为更细致的评估提供了潜力.
研究的目的:
- * 评估LSA中的补充评分指标,用于基于课程的图片词写作测量 (CBM-W).
- * 调查LSA指标的可靠性,有效性和对增长的敏感性.
- * 确定LSA是否可以提供更具体的口语语言技能估计.
主要方法:
- *利用了123名有写作困难的学生的语言样本,使用图片词CBM-W.
- * 评估了与现有指标和标准化措施相比的替代形式可靠性和与标准相关的有效性.
- * 对LSA和Picture Word CBM-W评分机制从秋季到春季的生长敏感度进行了检查.
主要成果:
- *两个LSA指标表明了技术质量和对增长的敏感性:T-Unit在形态表达的平均长度 (MLTU-M) 和不同单词数量 (NDW).
- * MLTU-M在秋季使用两种形式的平均值时显示可靠性.
- * NDW使用秋季和春季两种形式的平均值来证明可靠性和对增长的敏感性.
结论:
- *结果支持口头语言在句子级别写作能力中的不可或缺的作用.
- *MLTU-M和NDW是Picture Word CBM-W的有效补充评分机制.
- * 这些LSA指标比目前的CBM-W评分提供了对语法/形态语法和语义/词汇多样性的更具体的见解.
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