In the rapidly evolving digital learning landscape, sign language mobile apps are vital in advancing signlanguage teaching. However, ensuring the quality of these apps remains a critical challenge. To addressthis gap, this study employs the fuzzy Delphi technique to establish a robust set of criteria for evaluatingthe quality of sign language mobile apps. By leveraging the collective wisdom and expertise of a panelof experts, the fuzzy Delphi technique facilitates a structured process for achieving consensus on theessential factors contributing to evaluating sign language mobile apps. Through rigorous rounds ofiterative feedback and analysis, the study identifies a comprehensive list of reliable criteriaencompassing various dimensions, including functionality, usability, accessibility, and pedagogicaleffectiveness. 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 canuse the criteria as a guide during the design and development stages, ensuring that their apps meet thehighest quality and user experience standards. Educators can rely on the criter
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