Your browser doesn't support javascript.
Remote Graphic-Based Teaching for Pupils with Visual Impairments: Understanding Current Practices and Co-designing an Accessible Tool with Special Education Teachers
Proceedings of the ACM on Human-Computer Interaction ; 6(ISS):538-567, 2022.
Article in English | Scopus | ID: covidwho-2214057
ABSTRACT
The lockdown period related to the COVID-19 pandemic has had a strong impact on the educational system in general, but more particularly on the special education system. Indeed, in the case of people with visual impairments, the regular tools relying heavily on images and videos were no longer usable. This specific situation highlighted an urgent need to develop tools that are accessible and that can provide solutions for remote teaching with people with VI. However, there is little work on the difficulties that this population encounters when they learn remotely as well as on the current practices of special education teachers. Such a lack of understanding limits the development of remote teaching systems that are adapted. In this paper, we conducted an online survey regarding the practices of 59 professionals giving lessons to pupils with VI, followed by a series of focus groups with special education workers facing teaching issues during the lockdown period. We followed an iterative design process where we designed successive low-fidelity prototypes to drive successive focus groups. We contribute with an analysis of the issues faced by special education teachers in this situation, and a concept to drive the future development of a tool for remote graphic-based teaching with pupils with VI. © 2022 ACM.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Proceedings of the ACM on Human-Computer Interaction Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Proceedings of the ACM on Human-Computer Interaction Year: 2022 Document Type: Article