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Teaching Statistics to Struggling Students: Lessons Learned from Students with LD, ADHD, and Autism.

Authors :
Dahlstrom-Hakki, Ibrahim
Wallace, Michelle L.
Source :
Journal of Statistics & Data Science Education. 2022, Vol. 30 Issue 2, p127-137. 11p.
Publication Year :
2022

Abstract

There have been significant developments in the field of statistics education over the past decade that have improved outcomes for all students. However, there remains relatively little research on the best practices for teaching statistics to students with disabilities. This article describes a conceptual visual approach to teaching a college level general education statistics course aimed at addressing the needs of students with disabilities and other struggling students. The conceptual visual components were employed using the technology tool TinkerPlots. The approach is informed by the recommendations of the GAISE report as well as research on Universal Design and Cognitive Load Theory. With support from the NSF (HRD-1128948), the approach was pilot tested at a college that exclusively serves students with LD, ADHD, and autism to gather preliminary evidence of its effectiveness in teaching statistics concepts to that population. The results of this research and the emergent recommendations to help students with disabilities gain access to statistics are described in this article. for this article are available online. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26939169
Volume :
30
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Statistics & Data Science Education
Publication Type :
Academic Journal
Accession number :
159219365
Full Text :
https://doi.org/10.1080/26939169.2022.2082601