How Effective Is SUNO.AI in Enhancing Arabic Listening Skills? An Evaluation of AI-Based Personalized Learning

Abstract

This study evaluates the effectiveness of SUNO.AI, an Artificial Intelligence (AI)-based learning platform, in enhancing Arabic listening skills among second-semester students at the State Islamic University of Raden Intan Lampung. A purposive sampling technique was employed, involving 60 students who had completed an Arabic listening course. The research followed a Research and Development (R&D) method, utilizing the Hannafin and Peck model. Data collection tools included pre-tests, post-tests, and expert validation to assess the platform’s feasibility and its impact on listening comprehension. SUNO.AI provided personalized exercises adapted to individual proficiency levels, offering real-time feedback and exposure to various Arabic dialects. Results from quantitative analysis showed a significant improvement in students’ listening skills, with a 25% increase in post-test scores (p < 0.05). These findings indicate that AI-based tools like SUNO.AI can significantly enhance listening comprehension by offering adaptive learning experiences. This research contributes to the growing body of literature on AI applications in language education and provides practical insights for improving Arabic language instruction.