The Effectiveness of Voicemaker Learning Media in Improving the Arabic Listening Skills of Seventh-Grade Students at MTs Alif Laam Miim Surabaya
Keywords:
Artificial Intelligence, Maharah Istima', VoicemakerAbstract
This study investigated the effectiveness of AI-based Voicemaker in improving Arabic listening skills (maharah al-istima') among seventh-grade students at MTs Alif Laam Miim Surabaya. A quantitative approach with a quasi-experimental design was employed, involving all 47 students who were assigned to an experimental group using Voicemaker and a control group receiving conventional instruction. Data were collected through listening achievement tests and questionnaires and analyzed using descriptive statistics, the Shapiro–Wilk test, Levene's test, the Independent Samples t-test, and the Mann–Whitney U test with JASP software. The findings revealed a significant difference between the two groups (p < 0.001), with the experimental group obtaining a higher mean score (54.76) than the control group (44.71). The Mann–Whitney U test confirmed a significant difference with a large effect size (0.681), indicating that Voicemaker substantially improved students' Arabic listening skills. Its AI-based Text-to-Speech technology provided clear, natural, and repeatable audio, enabling students to improve pronunciation, intonation, and listening comprehension. This study contributes empirical evidence supporting the integration of AI-assisted Text-to-Speech technology into Arabic listening instruction, offering educators an effective, interactive, and learner-centered instructional approach.
Downloads
References
Agnes, D., & Srinivasan, R. (2024). Fostering Vocabulary Memorization: Exploring the Impact of AI-Generated Mnemonic Keywords on Vocabulary Learning Through Anki Flashcards. World Journal of English Language. https://doi.org/10.5430/wjel.v14n2p434
Akmad, A. P. (2024). Academic Resilience in the Face of Internet Challenges: A Narrative Analysis of Tertiary Students' Experiences. Journal of Interdisciplinary Perspectives. https://doi.org/10.69569/jip.2024.0255
Al-Jarf, R. (2022). Text-To-Speech Software for Promoting EFL Freshman Students’ Decoding Skills and Pronunciation Accuracy. Journal of Computer Science and Technology Studies. https://doi.org/10.32996/jcsts.2022.4.2.4
Algabri, M., Mathkour, H., Alsulaiman, M., & Bencherif, M. (2022). Mispronunciation Detection and Diagnosis with Articulatory-Level Feedback Generation for Non-Native Arabic Speech. Mathematics. https://doi.org/10.3390/math10152727
Aljehani, S. B. (2024). Enhancing Student Learning Outcomes: The Interplay of Technology Integration, Pedagogical Approaches, Learner Engagement, and Leadership Support. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v30i4.1485
Alrasheedi, S. (2025). THE EFFECT OF USING AI APPLICATIONS TO DEVELOP EFL LISTENING COMPREHENSION SKILLS AMONG UNIVERSITY STUDENTS. Knowledge & Diversity. https://doi.org/10.18316/rcd.v16i44.12346
Avrianti, N., Yuliana, Y., & Susilawati, E. (2025). Assessing the Effectiveness of Text-to-Speech Applications on Enhancing Listening Comprehension and Student Engagement: A Quasi-Experimental Studies. International Journal of Research and Innovation in Social Science. https://doi.org/10.47772/ijriss.2025.925ileiid000081
Bauer, E., Greiff, S., Graesser, A., Scheiter, K., & Sailer, M. (2025). Looking Beyond the Hype: Understanding the Effects of AI on Learning. Educational Psychology Review, 37. https://doi.org/10.1007/s10648-025-10020-8
Chang, A., Millett, S., & Renandya, W. (2019). Developing Listening Fluency through Supported Extensive Listening Practice. RELC Journal, 50, 422–438. https://doi.org/10.1177/0033688217751468
Daniel, K., Msambwa, M., Fute, A., & Wan, X. (2024). Motivate students for better academic achievement: A systematic review of blended innovative teaching and its impact on learning. Computer Applications in Engineering Education, 32. https://doi.org/10.1002/cae.22733
Dylman, A., Diaz, D. G., Blysa, A., & Jansson, B. (2025). The effect of prosody on listening comprehension: Immediate and delayed recall. Cogent Psychology, 12. https://doi.org/10.1080/23311908.2025.2576785
Fitria, T. N. (2022). Utilizing Text-to-Speech Technology: Natural Reader in Teaching Pronunciation. JETLEE : Journal of English Language Teaching, Linguistics, and Literature. https://doi.org/10.47766/jetlee.v2i2.312
Gligorea, I., Cioca, M., Oancea, R., Gorski, A., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review. Education Sciences. https://doi.org/10.3390/educsci13121216
Hanik, E. F., Nashihah, R. F., & Salam, M. B. (2025). Effectiveness Of Using Audio, Visual, And Multimedia Media in Arabic Language Learning in the Digital Era. IJIE International Journal of Islamic Education. https://doi.org/10.35719/ijie.v4i1.2308
Hardiah, M. (2019). Improving Students Listening Skill by Using Audio Visual Media. Al-Lughah: Journal of Language. https://doi.org/10.29300/lughah.v7i2.1673
Hatami, S. (2017). The differential impact of reading and listening on L2 incidental acquisition of different dimensions of word knowledge. Reading in a Foreign Language. https://doi.org/10.64152/10125/66728
Hijriyah, U. (2025). How Effective Is SUNO. AI in Enhancing Arabic Listening Skills? An Evaluation of AI-Based Personalized Learning. International Journal of Information and Education Technology. https://doi.org/10.18178/ijiet.2025.15.2.2251
Kaeane, N. L., Molokomme, R. T., & Lebelo, S. (2025). Exploring the Effectiveness and Challenges of Online Learning Tools Used by Students at a Higher Education Institutions in South Africa. Mitteilungen Klosterneuburg. https://doi.org/10.61586/20n2s
Keelor, J., Creaghead, N., Silbert, N., Breit, A., & Horowitz-Kraus, T. (2023). Impact of text-to-speech features on the reading comprehension of children with reading and language difficulties. Annals of Dyslexia, 73, 469–486. https://doi.org/10.1007/s11881-023-00281-9
Khusna, L. K., & Fadli, F. (2025). The Influence of Artificial Intelligence Dependence on Students' Learning Motivation in the System of Linear Equations in Two Variables. Consider using the Gospel of Jesus Christ of Latter-day Saints, 10, 211–226.
Li, J., & Singh, C. (2024). Integrating Mobile Assisted Language Learning in English Listening: A Synthetic Review. English Education Journal. https://doi.org/10.24815/eej.v15i2.36618
Mallesh, J. (2024). The Impact of Technology on ELT Classroom Dynamics: A Study on Teacher-Student Interaction. Gurukul International Multidisciplinary Research Journal. https://doi.org/10.69758/gimrj/2412ivvxiip0004
Mubarak, M. H., & Santoso, A. (2023). Student Perception in the Use of Text to Speech-Based Applications in Arabic Language Learning Technology Courses. Iqra' Scientific Journal. https://doi.org/10.30984/jii.v17i1.2376
Mubarok, A. S., & Jannah, I. M. (2025). INTERACTIVE AI IN ISTIMA LEARNING: A CASE STUDY AT MTS ALIF LAAM MIIM SURABAYA. Sec. 10.
Ng, D., Leung, J., Su, J., Ng, R., & Chu, S. (2023). Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71, 137–161. https://doi.org/10.1007/s11423-023-10203-6
Raffoul, S., & Jaber, L. (2023). Text-to-Speech Software and Reading Comprehension: The Impact for Students with Learning Disabilities. Canadian Journal of Learning and Technology. https://doi.org/10.21432/cjlt28296
Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for Personalized and Adaptive Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4638365
Rosyad, M. S. (2022). تصميم اختبارات اللغة العربية في ضوء الذكاءات الاصطناعية: VOICEMAKER أنموذجا. Insyirah: Journal of Arabic Language and Islamic Studies. https://doi.org/10.26555/insyirah.v5i1.5372
Sutriana, A., Pangihutan, D. M., History, S. P., Social, F. I., & Padang, U. N. (2025). LIMITATIONS OF TECHNOLOGY AS AN OBSTACLE TO DIGITAL TRANSFORMATION OF EDUCATION: A CASE STUDY AT SMA NEGERI 4 SELUMA, SELUMA REGENCY, BENGKULU Ade. EDUCATION SCHOLARS, 15(4). https://doi.org/10.9644/sindoro.v3i9.267
Tan, X., Chen, J., Liu, H., Cong, J., Liu, Y., Leng, Y., Yi, Y., He, L., Soong, F., Qin, T., Zhao, S., & Liu, T.-Y. (2022). NaturalSpeech: End-to-End Text-to-Speech Synthesis with Human-Level Quality. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46, 4234–4245. https://doi.org/10.1109/tpami.2024.3356232
Tapalova, O., Zhiyenbayeva, N., & Gura, D. (2022). Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. Electronic Journal of E-Learning. https://doi.org/10.34190/ejel.20.5.2597
Wijayanti, D., Hofifah, R., Ratnaningsih, A., Habibah, R., & Author, C. (2025). Application of Pictory AI Learning to Improve Listening Skills in Grade IV SDN Kembangkuning. 17(1), 110–119. https://doi.org/10.35457/konstruk.v17i1.4136
Yuliani, S. Y., & Sopian, A. (2025). Integration of AI-Based Text-to-Speech Technology in Arabic Listening Skills Learning. Aphorism: Journal of Arabic Language, Literature, and Education. https://doi.org/10.37680/aphorisme.v6i1.7144
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Al-Fakkaar

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.







