Portable Arabic Braille Learning Device with Adaptive Feedback
Supervisor Name
Ayman Wazwaz
Supervisor Email
aymanw@ppu.edu
University
Palestine Polytechnic University
Research field
Computer Science
Bio
Dr. Ayman Wazwaz, Lecturer at the Computer Engineering Department, Palestine Polytechnic University. Holds a PhD in Internet of Things, a Master’s in Telematics, and a Bachelor's in Computer Engineering. Research interests include edge computing, embedded systems, and computer networks.
Description
Visual impairment remains a significant educational challenge worldwide, with limited access to affordable assistive technologies preventing many blind individuals from achieving equal learning opportunities. Although refreshable Braille displays and electronic Braille learning devices have advanced considerably during the past decade, their high cost and limited support for the Arabic language continue to restrict their adoption across developing countries. In Palestine, educational institutions and organizations serving visually impaired learners face additional financial constraints, making advanced Braille technologies inaccessible to the majority of students. Consequently, many learners continue to rely on traditional mechanical Braillers or printed Braille materials, which offer limited interactivity, require continuous instructor supervision, and provide no personalized learning support. Pasted text Recent discussions with educators and users at the Blind Charitable Society in Hebron highlighted several practical challenges encountered during Braille education. Existing electronic Braille devices are expensive, often exceeding the financial capabilities of schools and rehabilitation centers, while the limited number of refreshable cells forces users to continuously scroll through text, reducing reading efficiency. Furthermore, instructors indicated that learners frequently repeat the same writing and reading mistakes without receiving individualized feedback, increasing learning time and requiring continuous teacher intervention. These observations reveal an urgent need for affordable, intelligent educational technologies specifically designed for Arabic Braille learners. Current research has demonstrated considerable progress in refreshable Braille displays, speech-assisted interfaces, and Braille translation systems. However, existing solutions generally focus on either text presentation, language translation, or communication between blind and sighted users. Very few systems combine refreshable Braille hardware with interactive learning exercises, adaptive tutoring, speech technologies, and artificial intelligence within a single portable embedded platform. Moreover, Arabic Braille remains significantly underrepresented in current assistive technologies, and no comprehensive solution has been identified that provides personalized learning support through continuous analysis of learner performance and adaptive exercise generation. The proposed research addresses these limitations by developing an intelligent, portable Arabic Braille learning platform that combines embedded systems, tactile interfaces, speech technologies, and artificial intelligence to create a personalized learning experience. The proposed system integrates a refreshable multi-cell Braille display, Braille keyboard, Arabic speech guidance, adaptive exercises, and AI-assisted analysis of learner errors. Rather than simply identifying incorrect answers, the system will analyze recurring mistake patterns, explain likely causes, and automatically recommend personalized practice sessions that address individual learning difficulties. This adaptive approach aims to improve learning efficiency while reducing dependence on continuous instructor supervision. From a research perspective, the project contributes to several interdisciplinary domains, including embedded systems, human-computer interaction, artificial intelligence, accessible computing, and educational technologies. It investigates how low-cost embedded hardware can be combined with AI-driven adaptive learning algorithms to deliver personalized education for visually impaired users. In addition, the project explores the integration of speech recognition, Arabic Braille translation, wireless communication, and cloud-based AI services within a unified assistive platform suitable for deployment in resource-constrained educational environments. The expected outcomes extend beyond the development of a functional prototype. The project aims to establish a scalable framework for affordable Arabic assistive technologies that can be adopted by schools, rehabilitation centers, and non-governmental organizations throughout Palestine and other Arabic-speaking countries. By reducing the cost of accessible learning technologies while improving educational effectiveness, the proposed research directly supports inclusive education, digital transformation, and equal access to quality learning opportunities.
