Embedded Instruction Improves Vocabulary Learning During Automated Storybook Reading Among High-Risk Preschoolers

Author:

Goldstein Howard1,Kelley Elizabeth2,Greenwood Charles3,McCune Luke3,Carta Judith3,Atwater Jane3,Guerrero Gabriela3,McCarthy Tanya4,Schneider Naomi4,Spencer Trina5

Affiliation:

1. University of South Florida, Tampa

2. University of Missouri, Columbia

3. University of Kansas, Kansas City

4. The Ohio State University, Columbus

5. Northern Arizona University, Flagstaff

Abstract

Purpose We investigated a small-group intervention designed to teach vocabulary and comprehension skills to preschoolers who were at risk for language and reading disabilities. These language skills are important and reliable predictors of later academic achievement. Method Preschoolers heard prerecorded stories 3 times per week over the course of a school year. A cluster randomized design was used to evaluate the effects of hearing storybooks with and without embedded vocabulary and comprehension lessons. A total of 32 classrooms were randomly assigned to experimental and comparison conditions. Approximately 6 children per classroom demonstrating low vocabulary knowledge, totaling 195 children, were enrolled. Results Preschoolers in the comparison condition did not learn novel, challenging vocabulary words to which they were exposed in story contexts, whereas preschoolers receiving embedded lessons demonstrated significant learning gains, although vocabulary learning diminished over the course of the school year. Modest gains in comprehension skills did not differ between the two groups. Conclusion The Story Friends curriculum appears to be highly feasible for delivery in early childhood educational settings and effective at teaching challenging vocabulary to high-risk preschoolers.

Publisher

American Speech Language Hearing Association

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3