Arabic Language Learning Innovation: The Application of AI to Assist Teachers With Articulatory Impairments In Teaching Imla at Riyadlul 'Ulum Wadda'wah Islamic Boarding School

Abstract

This research aims to develop AI technology-based learning innovations by combining imla textbooks and QR audio generated by Eleventhlab.ai. Nowadays, teaching imla in Arabic often faces challenges, especially for teachers with articulatory disorders, such as lisp that affects the pronunciation of hijaiyah letters. The use of QR codes makes it easier for students to access accurate pronunciation of the Hijaiyah letters through digital devices. This research method includes the development of digital-based learning media that integrates teaching materials with AI technology. This research uses mixed methods, namely descriptive qualitative and quantitative. The initial analysis evaluated the effectiveness of the innovation, then it was piloted in a classroom with a sample of students. Data were collected through observation, interviews, and learning outcome tests, then analyzed descriptively. The results show that the use of textbooks and QR audio imla increases learning effectiveness, helps teachers overcome articulation constraints, and facilitates student understanding. So the integration of AI technology in Arabic teaching can improve the quality of imla teaching and become an innovative solution in the era of Society 5.0.