Contextual Scaffolding and Self-Efficacy: Supporting Computer Skill Development among Blind Learners in India
Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae Na Lee, Vikas Ashok
摘要
Inclusive computer literacy education efforts, broadening the participation of blind or visually impaired (BVI) individuals, have gained traction in recent years. Existing literature investigating these efforts primarily draws evidence from affluent Global North contexts, where accessibility resources and legal frameworks are relatively more mature. Little is known about the in-situ teaching and learning challenges faced by trainers and BVI students, respectively, in resource-constrained, multicultural Global South countries like India. To address this knowledge gap, we conducted a four-month contextual inquiry at two computer training centers catering to 94 BVI students in India. We notably observed a rigid, experience-driven training environment and a visually-centric curriculum that discounts the lived experiences of BVI learners and inadvertently undermines their learning self-efficacy. Informed by the findings, we discuss moving beyond functional accessibility-centered teaching toward a more culturally responsive computing pedagogy, facilitated by locally adaptable contextual scaffolds tailored for BVI students in developing societies like India.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- Promoting Comprehension and Engagement in Introductory Data and Statistics for Blind and Low-Vision Students: A Co-Design StudyDanyang Fan, Olivia Tomassetti, Aya Mouallem, Gene S.-H. Kim 等CHI 2025 · 被引用 2 次
- Insights in Adaptation: Examining Self-reflection Strategies of Job Seekers with Visual Impairments in IndiaAkshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae Na Lee 等CSCW 2025 · 被引用 3 次
- Exploring the Experiences of Individuals Who are Blind or Low-Vision Using Object-Recognition Technologies in IndiaGesu India, Simon Robinson, Jennifer Pearson, Cecily Morrison 等CHI 2025 · 被引用 8 次
- The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource EnvironmentsGesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti 等CHI 2026 · 被引用 1 次
- Promoting Self-Efficacy Through an Effective Human-Powered Nonvisual Smartphone Task AssistantAndré Rodrigues, André R. B. Santos, Kyle Montague, Tiago João GuerreiroCSCW 2021 · 被引用 7 次
