Comparing Two Established Multimedia Approaches for Teaching Vocabulary to Students with and Without Disabilities

Author:

Kennedy Michael J.1ORCID,McDonald Sean D.1,Griendling Lindsay M.ORCID,VanUitert Victoria J.1,Kunemund Rachel L.1ORCID

Affiliation:

1. Department of Curriculum, Instruction, & Special Education, University of Virginia, Charlottesville, VA, USA

Abstract

Vocabulary is a critical building block for establishing mastery of content area knowledge. Two technology-based tools (InferCabulary and Content Acquisition Podcasts for Students [CAP-S]) have been found to have beneficial effects on students’ vocabulary knowledge, but efficacy of device features across varied presentation formats is unknown. The purpose of this study was to compare InferCabulary and CAP-S on four measures of vocabulary performance. Fifth-grade students (n = 656) drawn from 30 classrooms across three states participated in one of three conditions to learn 100 new vocabulary terms. Teachers ( n = 30) taught student participants new word meanings via the InferCabulary program, CAP-S instructional slides, or their business-as-usual (BAU) approach to instruction. Results indicate that when students learned vocabulary using InferCabulary or CAP-S approaches, they significantly outperformed their peers who participated in BAU vocabulary instruction. In addition, students with disabilities in the CAP-S and InferCabulary conditions scored similarly to students without disabilities in the BAU condition on most measures. Implications for research and practice are discussed.

Publisher

SAGE Publications

Subject

Computer Science Applications,Education

Cited by 2 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