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Auditing the accessibility of MOOCs: a four-component approach

Iniesto, Francisco; McAndrew, Patrick; Minocha, Shailey and Coughlan, Tim (2019). Auditing the accessibility of MOOCs: a four-component approach. In: EC-TEL 2019 Fourteenth European Conference on Technology Enhanced Learning, 16-19 Sep 2019, Delft (Netherlands).

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Abstract

This paper reports the design of a four-component audit to evaluate the accessibility of Massive Open Online Courses (MOOCs). The MOOC accessibility audit was designed as part of a research programme at The Open University (UK) that aimed to assess the current state of accessibility of MOOC platforms and resources, to uncover accessibility barriers, and to derive recommendations on how the barriers could be addressed. The audit is composed of four evaluation components: technical accessibility, user experience (UX), quality and learning design. The audit consists of four processes supported by checklists corresponding to each of the four components implemented via a heuristic evaluation approach, an evaluation technique from Human-Computer Interaction literature

Item Type: Conference or Workshop Item
Copyright Holders: 2019 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
Open World LearningDS-2014-077LEVERHULME The Leverhulme Trust
GO-GN phase 2#2016-3844Hewlett Foundation
Keywords: MOOCs; accessibility audit; heuristic evaluation; Human-Computer Interaction; usability; user experience; quality; learning design
Academic Unit/School: Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
Faculty of Wellbeing, Education and Language Studies (WELS)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: OpenTEL
Item ID: 62256
Depositing User: Francisco Iniesto
Date Deposited: 03 Jul 2019 13:32
Last Modified: 12 Jul 2019 14:32
URI: http://oro.open.ac.uk/id/eprint/62256
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