Promoting Comprehension and Engagement in Introductory Data and Statistics for Blind and Low-Vision Students: A Co-Design Study

要旨

Statistical literacy involves understanding, interpreting, and critically evaluating statistical information in a contextually grounded way. Current instructional practices rely heavily on visual techniques, which renders them inaccessible to students who are blind or have low vision (BLV). To bridge this gap, we formed an extended co-design partnership with a statistics teacher, a teacher for students with visual impairments (TVI), and two BLV students to develop accessibility-first practices for building statistical literacy. Through several months of collaboration that included discussion, exploration, design, and evaluation, we identified specific approaches to promote comprehension and engagement. The enactive approaches we designed, using scaffolding and timely feedback, fostered insights through pattern recognition and analogical reasoning. Additionally, inquiry-based methods promoted contextually situated reasoning and reflection on how statistics can improve students' lives and communities. We present these findings alongside participants’ experiences and discuss their implications for inclusive learning frameworks and tools.

著者
Danyang Fan
Stanford University, Palo Alto, California, United States
Olivia Tomassetti
Stanford University, Stanford, California, United States
Aya Mouallem
Stanford University, Stanford, California, United States
Gene S-H. Kim
Stanford University, Stanford, California, United States
Shloke Nirav Patel
Stanford University, Stanford, California, United States
Saehui Hwang
Stanford University, Stanford, California, United States
Patricia Leader
San Francisco State University, San Francisco, California, United States
Danielle Sugrue
Santa Cruz High School, Santa Cruz, California, United States
Tristen Chen
anonymous, anonymous, California, United States
Darren Reese Ou
anonymous, anonymous, California, United States
Hariharan Subramonyam
Stanford University, Stanford, California, United States
Victor Lee
Stanford University, Stanford, California, United States
Lakshmi Balasubramanian
Stanford University, Stanford, California, United States
Sile O'Modhrain
University of Michigan, Ann Arbor, Michigan, United States
Sean Follmer
Stanford University, Stanford, California, United States
DOI

10.1145/3706598.3713333

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713333

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technology for People

G416+G417
6 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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