HRMARS - This study explores the phenomenon of lahn (erroneous recitation) in Qur’anic reading from a perspective that bridges classical authenticity and modern technological approaches, aiming to uncover its phonetic, grammatical, and pedagogical dimensions within the framework of digital transformation. The research employs a descriptive–analytical methodology to present the concept, classifications, and effects of lahn on the comprehension of the Qur’anic text. It also analyzes the role of modern technologies—particularly artificial intelligence (AI) and machine learning—in detecting and correcting recitational errors. Furthermore, the paper discusses the impact of digital globalization and e-learning on the spread of lahn, as well as the educational and institutional efforts to prevent it. Findings indicate that the integration of traditional and digital learning systems represents the most effective path to ensure accurate Qur’anic performance, and that AI can serve as a valuable assistive tool when employed within a properly guided pedagogical framework.
Al-Haddad et al. (Sun,) studied this question.