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Permanent URI for this communityhttps://hdl.handle.net/20.500.14719/1741

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Start date: 2020Type: search.filters.itemtype.Conference PaperSubject: search.filters.subject.Learning systemsHas files: Yes

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    PublicationOpen Access
    Assessing Dyslexia with Machine Learning: A Pilot Study Utilizing Google ML Kit
    (Institute of Electrical and Electronics Engineers Inc., 2023) Eroğlu, Günet; Harb, Mhd Raja Abou; Eroğlu, Günet, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Harb, Mhd Raja Abou, Department of Computer Engineering, Işik Üniversitesi, Istanbul, Turkey
    In this study, we explore the application of Google ML Kit, a machine learning development kit, for dyslexia detection in the Turkish language. We collected face-tracking data from two groups: 49 dyslexic children and 22 typically developing children. Using Google ML Kit and other machine learning algorithms based on eye-tracking data, we compared their performance in dyslexia detection. Our findings reveal that Google ML Kit achieved the highest accuracy among the tested methods. This study underscores the potential of machine learning-based dyslexia detection and its practicality in academic and clinical settings. © 2024 Elsevier B.V., All rights reserved.