向挣扎的学生教授统计学:从LD、ADHD和自闭症学生身上学到的经验

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES Journal of Statistics and Data Science Education Pub Date : 2022-05-04 DOI:10.1080/26939169.2022.2082601
Ibrahim Dahlstrom‐Hakki, Michelle L. Wallace
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引用次数: 0

摘要

摘要在过去的十年里,统计教育领域取得了重大进展,改善了所有学生的成绩。然而,关于向残疾学生教授统计学的最佳做法的研究相对较少。本文介绍了一种概念可视化的方法来教授大学水平的普通教育统计学课程,旨在满足残疾学生和其他困难学生的需求。使用技术工具TinkerPlots使用概念视觉组件。该方法参考了GAISE报告的建议以及通用设计和认知负荷理论的研究。在美国国家科学基金会(HRD-1128948)的支持下,该方法在一所专门为LD、ADHD和自闭症学生服务的大学进行了试点测试,以收集其在向该人群教授统计学概念方面有效性的初步证据。本文介绍了这项研究的结果以及帮助残疾学生获得统计数据的紧急建议。本文的补充材料可在线获取。
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Teaching Statistics to Struggling Students: Lessons Learned from Students with LD, ADHD, and Autism
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. Supplementary materials for this article are available online.
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来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
期刊最新文献
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