INNOVATION IN ISLAMIC EDUCATIONAL TECHNOLOGY: DEVELOPMENT OF A MOBILE APPLICATION FOR QUR'ANIC MEMORIZATION (TAHFIDZ) WITH AI-BASED FEEDBACK
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The traditional method of Qur'anic memorization (Tahfidz) relies on direct supervision from a qualified teacher for corrective feedback, a resource that is not always accessible or scalable. While various digital Qur'an applications exist, they often lack the interactive and personalized feedback crucial for correcting pronunciation (Tajwid) and recitation errors. This research aims to design, develop, and evaluate a mobile application that integrates Artificial Intelligence (AI) to provide real-time, automated feedback for learners memorizing the Qur'an. Employing a Research and Development (R&D) methodology following the ADDIE model, the application was built incorporating a speech recognition engine trained on certified Qur'anic recitations. The results demonstrate the successful development of a functional application capable of accurately identifying common errors in pronunciation and memorization fluency. Usability testing and a quasi-experimental study with a group of learners showed a statistically significant improvement in memorization accuracy and speed for users of the AI-powered application compared to a control group using non-AI applications. This study concludes that an AI-based mobile application can serve as an effective supplementary tool, offering a scalable, accessible, and motivating platform for independent Qur'anic memorization, thereby bridging traditional pedagogy with technological innovation.
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