Consensus on Criteria for Selection of Sign Language Mobile Apps: A Delphi Study
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Abstract
In the rapidly evolving digital learning landscape, sign language mobile apps are vital in advancing sign
language teaching. However, ensuring the quality of these apps remains a critical challenge. To address
this gap, this study employs the fuzzy Delphi technique to establish a robust set of criteria for evaluating
the quality of sign language mobile apps. By leveraging the collective wisdom and expertise of a panel
of experts, the fuzzy Delphi technique facilitates a structured process for achieving consensus on the
essential factors contributing to evaluating sign language mobile apps. Through rigorous rounds of
iterative feedback and analysis, the study identifies a comprehensive list of reliable criteria
encompassing various dimensions, including functionality, usability, accessibility, and pedagogical
effectiveness. The criteria established through this method serve as a valuable resource for developers,
educators, and clients in selecting and developing top-notch sign language mobile apps. Developers can
use the criteria as a guide during the design and development stages, ensuring that their apps meet the
highest quality and user experience standards. Educators can rely on the criteria as a checklist for
evaluating and selecting appropriate apps that align with their teaching objectives and cater to the
diverse learning needs of their students. Clients, such as educational institutions or individuals seeking
sign language learning resources, can make informed decisions by referring to the established criteria,
promoting the adoption of clear and impactful sign language mobile apps. This study emphasizes the
significance of applying the fuzzy Delphi method in the context of sign language mobile app
assessment. Involving experts from relevant fields ensures that the established criteria capture the
multifaceted nature of compelling sign language learning experiences. Developing a comprehensive
and reliable set of criteria contributes to improving existing apps and encourages innovation in creating
new apps that better serve the needs of sign language learners. Overall, this research extends the
knowledge base of sign language teaching in the digital age by providing a robust framework for
assessing the quality of sign language mobile apps. The findings of this study empower stakeholders in
the education and technology sectors to make informed decisions, fostering the advancement of sign
language teaching and promoting inclusivity in digital learning environments.
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