Article Per Year (5 Year)
p-Index From 2021 - 2026
2.144
P-Index
This Author published in this journals
All Journal TOMALEBBI: Jurnal Pemikiran, Penelitian Hukum, Pendidikan Pancasila dan Kewarganegaraan (PPKn) Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama Jurnal Review Pendidikan dan Pengajaran (JRPP) SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Community Development Journal: Jurnal Pengabdian Masyarakat REKONSTRUKSI TADULAKO: Civil Engineering Journal on Research and Development International Journal of Educational Review, Law And Social Sciences (IJERLAS) Lingua Franca Jurnal Pengabdian Masyarakat dan Penelitian Thawalib Innovative: Journal Of Social Science Research
Rizal, A.
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Transportation Veterinary Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Lingua Franca

 1 
Deep Learning Technologies in Enhancing Speaking Proficiency: A Literature-Based Analysis of a New Pedagogical Paradigm in TEFL Rampeng, Rampeng; Rizal, A.; Nopitasari, Dewi; Syam, Ulfah
Lingua Franca Vol. 4 No. 2 (2025): Bahasa dan Sastra
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/lingua_franca.v4i2.8291

Abstract

This study explores how deep learning (DL) technologies, particularly those integrated into tools such as automatic speech recognition (ASR), text-to-speech (TTS), and AI-powered pronunciation applications, can transform speaking instruction by introducing a new pedagogical paradigm. Through a qualitative, literature-based methodology, this research analyzes thirty peer-reviewed studies published between 2020 and 2025. The findings reveal that DL tools significantly enhance learners’ pronunciation, rhythm, and fluency through real-time feedback and adaptive learning paths. In addition, these tools contribute to affective gains by reducing speaking anxiety and increasing learner motivation. However, challenges such as algorithmic bias, limited effectiveness in pragmatic discourse, and a lack of teacher training remain significant barriers to full integration. The discussion highlights the shifting role of TEFL instructors from content deliverers to facilitators of technology-enhanced learning environments. The study also emphasizes the importance of considering ethical implications and ensuring data privacy when implementing DL applications. Recommendations are provided for educators, institutions, and researchers to foster effective, equitable, and sustainable use of DL in language education. By bridging the gap between AI technologies and pedagogical practice, this paper proposes a forward-looking framework that positions deep learning not merely as a tool but as a transformative force in TEFL speaking instruction.
Co-Authors -, Rampeng . Asmirah A. Kurniawan Abdurrachman Rahim Agung Rinaldy Malik Ahmad Swandi Alim, Abd. Andi Aco Agus, Andi Aco Asmarianti, Asmarianti Bahang, M Dahlan Bashori, Abdul Hamid Bausad, Darmawati Azis Burhan Burhan, Burhan Falihin, Dalilul H. Nuraini H. Setiawan Haryono Haryono Hasanah, Y. Hasis, Pertiwi Kamariah Holis, Holis Ifa Safira Irwan Irwan Irwandi, Andi Jainuddin, Jainuddin Khaedir Khaedir, Khaedir M, Syahruddin M. Fajri, M. Maing, Rosmawati Abdul Makmur Makmur Moh. Rizal, Moh. MUHAMMAD AKBAL, MUHAMMAD Muhammad Amin Muhammad, Achmad Fajar Muttaqin Muttaqin Nopitasari, Dewi Nurwidyayanti Nurwidyayanti Qhalbi, A.N. R. Priyanto Rahim, Abdurrahman Restu Januarty Hamid Rofiqi, Rofiqi S. Gayatri Sri Suneki Sutrisno, M. Syam, Ulfah YANTO YANTO Yuniar, L.S.