Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 485 - Innovations in Introductory Statistics
Type: Contributed
Date/Time: Wednesday, August 10, 2022 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #322819
Title: Statistics Education for Graduate Students with Visual Impairment
Author(s): Annabel Li*
Companies: University of Northern Colorado
Keywords: statistics education; graduate students; visual impairment; challenges; innovative methods; successful researchers
Abstract:

Many graduate level majors require at least some training in statistics and research methods. For graduate students with visual impairment (GSVI), they often face unique challenges in learning statistical knowledge, such as accessibility to graphical representations, mathematical content, and statistical software. As statistical knowledge provides conceptual frameworks for GSVI to make decisions both professionally and in daily lives, it is an important skill as they navigate this fast and ever-changing world. Facilitating the learning of statistics are also crucial for enhancing career opportunities and quality of life for GSVI. The current study examines the challenges faced by a doctoral student who is totally blind in acquiring univariate to multivariate statistical knowledge, the academic and psychological impact of these challenges, and creative methods employed by the author as a statistics and research consultant to tackle these challenges when working with this student, including using existing tactile graphing kits and creative tools made by the author. The author aims to raise awareness and to inspire more innovative ways to support GSVI to become successful researchers.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program