You are here:

Using Evidence-Based Multimedia to Improve Vocabulary Performance of Adolescents With LD: A UDL Approach
ARTICLE

, , , ,

Learning Disability Quarterly Volume 37, Number 2, ISSN 0731-9487

Abstract

Universal Design for Learning (UDL) is a framework that is commonly used for guiding the construction and delivery of instruction intended to support all students. In this study, we used a related model to guide creation of a multimedia-based instructional tool called content acquisition podcasts (CAPs). CAPs delivered vocabulary instruction during two concurrent social studies units to 32 SWD and 109 students without disabilities. We created CAPs using a combination of evidence-based practices for vocabulary instruction, UDL, and Mayer's instructional design principles. High school students with and without learning disabilities completed weekly curriculum-based measurement (CBM) probes (vocabulary matching) over an 8-week period along with two corresponding posttests. Students were nested within sections of world history and randomly assigned to alternating treatments (CAPs and business as usual) that were administered sequentially to each group. Results revealed that students with and without disabilities made significant growth on CBMs and scored significantly higher on the posttests when taught using CAPs.

Citation

Kennedy, M.J., Thomas, C.N., Meyer, J.P., Alves, K.D. & Lloyd, J.W. (2014). Using Evidence-Based Multimedia to Improve Vocabulary Performance of Adolescents With LD: A UDL Approach. Learning Disability Quarterly, 37(2), 71-86. Retrieved July 18, 2019 from .

This record was imported from ERIC on November 3, 2015. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.