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Case Report

Creating, consuming, remixing, and sharing accessible Open Educational Resources (OERs) using an authoring tool

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Received 21 Dec 2022, Accepted 27 Jul 2023, Published online: 14 Aug 2023
 

ABSTRACT

This paper presents an experience designed to foster the creation, consumption, remixing, and sharing of accessible Open Educational Resources (OERs) through the development of the authoring tool INDIeOpen. INDIeOpen addresses some reported difficulties in the production and use of OERs: (1) difficulty in finding high-quality content, (2) a lack of knowledge about licencing practice and remixing, (3) limited facilities for continuous improvement, (4) a lack of sustainability, and (5) low accessibility of OERs. The described experience took place over four years within two European projects, INDIe and INDIe4All, in which the authoring tool was progressively developed in a continuous cycle of suggestions, improvements, and tests to reach the goal of developing an ecosystem of technologies, partnerships, and good practices to ease the production and adoption of accessible OERs. The aim was to develop a tool that assists authors in creating more accessible Open Educational Resources (OERs) that align with WCAG 2.1 guidelines. The accessibility features were designed in collaboration with charities focused on education for individuals with disabilities or learning difficulties. The combination of training, the authoring tool, and the ability to remix the generated OERs facilitated the creation and usage of more inclusive educational resources within the partner institutions.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the European Union (Erasmus+ Programme) under Grant 2020-1-ES01-KA201-083177.

Notes on contributors

Mathieu Kessler

Mathieu Kessler received a PhD in Statistics from the University of Pierre et Marie Curie, Paris. He is currently a full Professor of Statistics in the Department of Applied Mathematics and Statistics, Universidad Politécnica de Cartagena, Spain. Over the last few years, he has become increasingly interested in applications of statistics, data analysis, and data science, with a particular interest in data visualization and learning analytics.

Daniel Pérez-Berenguer

Daniel Pérez-Berenguer received a PhD in Computer Science from the University of Murcia, Spain, in 2020. He is an Assistant Professor in the Department of Information Technology and Communications, Universidad Politécnica de Cartagena, where he also leads the Digital Content Production Centre. His research interests include educational technology, authoring tools, gamification, and learning analytics.

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