Enhancing Arabic Listening and Vocabulary Acquisition through AI-Powered Music: A Study on Suno AI

Muhamad Solehudin; Nur Hanifansyah; Iqbal Fathi Izzuddin

doi:10.15408/a.v11i2.41994

Enhancing Arabic Listening and Vocabulary Acquisition through AI-Powered Music: A Study on Suno AI

Muhamad Solehudin, Nur Hanifansyah, Iqbal Fathi Izzuddin

Abstract

This study explores the impact of AI-generated music, specifically through the Suno AI platform, on enhancing Arabic listening skills (maharah istima') and vocabulary acquisition at Darullughah Wadda’wah Boarding School (Pesantren). A qualitative approach was employed over a 3-week period, involving 120 students aged 16 to 18. The findings reveal that AI-powered music significantly improved student motivation, engagement, and learning outcomes. Students demonstrated better vocabulary retention and listening comprehension, facilitated by the contextual use of lyrics in AI-generated songs. However, the short duration of the study posed challenges for mastering all introduced vocabulary. This research suggests that integrating AI-generated music into Arabic language education offers a promising, engaging alternative to traditional methods, particularly in enhancing receptive language skills. Future studies could extend the duration and explore the impact on other language skills such as speaking and writing.

Keywords

AI-generated music; Arabic language learning; listening skills; vocabulary acquisition

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References

Aihua, Z. (2021). New Ecology of AI-Assisted Language Education. Journal of Physics: Conference Series, 1861(1).

Alam, A., & Mohanty, A. (2023). Music and Its Effect on Mathematical and Reading Abilities of Students: Pedagogy for Twenty-First Century Schools. In Interdisciplinary Perspectives on Sustainable Development. Taylor & Francis Group.

Alsayat, A., & Elmitwally, N. (2020). A comprehensive study for Arabic Sentiment Analysis (Challenges and Applications). Egyptian Informatics Journal, 21(1).

Alzamil, J. (2021). Listening Skills: Important but Difficult to Learn. Arab World English Journal, 12(3).

Bakkalbasioglu, E. (2020). How to Access Elites When Textbook Methods Fail? Challenges of Purposive Sampling and Advantages of Using Interviewees as “Fixers.” The Qualitative Report.

Brattico, E., & Delussi, M. (2024). Making sense of music: Insights from neurophysiology and connectivity analyses in naturalistic listening conditions. Hearing Research, 441.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2).

Briliandy, N. R., & Inayati, N. L. (n.d.). Active Learning Methods to Improve the Arabic Language Skills of Pesma Students. 11.

Bsharat-Maalouf, D., & Karawani, H. (2022). Learning and bilingualism in challenging listening conditions: How challenging can it be? Cognition, 222.

Civit, M., Civit-Masot, J., Cuadrado, F., & Escalona, M. J. (2022). A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends. Expert Systems with Applications, 209.

Civit, M., Drai-Zerbib, V., Lizcano, D., & Escalona, M. J. (2024). SunoCaps: A novel dataset of text-prompt based AI-generated music with emotion annotations. Data in Brief, 55.

Creswell, J. W. (2021). A Concise Introduction to Mixed Methods Research. SAGE Publications, Inc.

Dil, S., & Çam, M. (2024). The mediator role of mindfulness in the relationship between the listening skills and anger management skills of emergency health care professionals. International Emergency Nursing, 75.

Fernández-García, A., & Fonseca-Mora, M. C. (2022). EFL learners’ speaking proficiency and its connection to emotional understanding, willingness to communicate and musical experience. Language Teaching Research, 26(1).

Fonseca-Mora, M. C., Machancoses, F. H., Gryb, O., & Reiterer, S. (2021). Musical aptitude, working memory, general intelligence and plurilingualism: When adults learn to read fluently in a foreign language. Cogent Education, 8(1).

Goltz, F., & Sadakata, M. (2021). Do you listen to music while studying? A portrait of how people use music to optimize their cognitive performance. Acta Psychologica, 220.

Guimarães, L. M., & Lima, R. D. S. (2021). A systematic literature review of classroom observation protocols and their adequacy for engineering education in active learning environments. European Journal of Engineering Education, 46(6).

Hu, X., Chen, J., & Wang, Y. (2021). University students’ use of music for learning and well-being: A qualitative study and design implications. Information Processing & Management, 58(1).

Jailani, M., Suyadi, S., & Widodo, H. (2021). The Utilization of A Neurolinguistic Approach to Students for Arabic Language Learning Development. Arabiyat : Jurnal Pendidikan Bahasa Arab dan Kebahasaaraban, 8(2).

Jannah, N. A. S., Nurhidayati, N., & Ahsanuddin, M. (2022). Utilization of Materials “Academic Arapça” for Listening Skills in Arabic Language Education. Arabiyat : Jurnal Pendidikan Bahasa Arab Dan Kebahasaaraban, 9(2).

Li, Y., & Sun, R. (2023). Innovations of music and aesthetic education courses using intelligent technologies. Education and Information Technologies, 28(10).

Liu, F., Ju, Q., Zheng, Q., & Peng, Y. (2024). Artificial intelligence in mental health: Innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience. Current Opinion in Behavioral Sciences, 60.

Liu, M. (2023). Exploring the Application of Artificial Intelligence in Foreign Language Teaching: Challenges and Future Development. SHS Web of Conferences, 168.

Ma, X. (2021). Analysis on the Application of Multimedia-Assisted Music Teaching Based on AI Technology. Advances in Multimedia, 2021.

Mahmudah, M., Nurhanifansyah, N., & Khalid, S. M. S. bin. (2024). Psycholinguistic Approaches to Enhancing Arabic Speaking Proficiency through Comic Strips. Arabiyatuna: Jurnal Bahasa Arab, 8(2).

Meftah, A. H., Alotaibi, Y. A., & Ahmed Selouani, S. (2024). Scalability and diversity of StarGANv2-VC in Arabic emotional voice conversion: Overcoming data limitations and enhancing performance. Journal of King Saud University - Computer and Information Sciences, 36(6).

Muh Mustakim. (2021). The Development of Learning Strategies in Pesantren Studies on the Transformation of the Teaching System in Pesantren. IJORER : International Journal of Recent Educational Research, 2(2).

Nanduri, D. K., & Bonsignore, E. M. (2023). Revitalizing Endangered Languages: AI-powered language learning as a catalyst for language appreciation (No. arXiv:2304.09394).

Nurfathonah, L. A. (2023). Pengaruh Lagu terhadap Ketertarikan Siswa dalam Pembelajaran Kosakata Bahasa Arab. Tadris Al-’Arabiyyah: Jurnal Pendidikan Bahasa Arab Dan Kebahasaaraban, 2(1).

Prihatsanti, U., Suryanto, S., & Hendriani, W. (2018). Menggunakan Studi Kasus sebagai Metode Ilmiah dalam Psikologi. Buletin Psikologi, 26(2).

Salam, M. Y., Mahayuni, M., Taman, M., & Mudinillah, A. (2023). Using Artificial Intelligence for Education in the Education 5.0 Era to Improve Reading Skills. Arabiyat : Jurnal Pendidikan Bahasa Arab Dan Kebahasaaraban, 10(2).

Shao, S., Alharir, S., Hariri, S., Satam, P., Shiri, S., & Mbarki, A. (2022). AI-based Arabic Language and Speech Tutor. 2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA).

Wahdah, N., Mubarak, M. R., Hamidah, H., Audina, N. A., & Ilmiani, A. M. (2022). Peer Teaching Method to Support the Students’ Learning Motivation In Arabic Speaking Skills During The Covid-19 Pandemic. Ijaz Arabi Journal of Arabic Learning, 5(2).

Wargadinata, W., Maimunah, I., Febriani, S. R., & Humaira, L. (2020). Mediated Arabic Language Learning for Higher Education in COVID-19 Situation. Izdihar : Journal of Arabic Language Teaching, Linguistics, and Literature, 3(1).

Wei, J., Karuppiah, M., & Prathik, A. (2022). College music education and teaching based on AI techniques. Computers and Electrical Engineering, 100.

Zhang, R., & Zou, D. (2022). Types, purposes, and effectiveness of state-of-the-art technologies for second and foreign language learning. Computer Assisted Language Learning, 35(4).

DOI: https://doi.org/10.15408/a.v11i2.41994 Abstract - 0 PDF - 0