Naura Ariesta
Universitas Negeri Yogyakarta

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Memberdayakan ELSA SPEAK: Pendekatan Modern untuk Menguasai Berbicara dan Pelafalan Bahasa Inggris dengan Teknologi AI untuk Siswa Bahasa Inggris sebagai Bahasa Asing Naura Ariesta; Shifa Mantika Nur Aulia; Yulian Purnama
Tarling : Journal of Language Education Vol. 9 No. 2 (2025): Juli 2025
Publisher : Arabic Language Education Study Program, Tarbiyah and Teacher Training, UIN Prof K.H Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tarling.v9i2.14811

Abstract

This study critically analyses the ELSA Speak application and its multifaceted impacts on the development of speaking and pronunciation skills among English as a Foreign Language (EFL) learners. EFL students often encounter persistent challenges such as limited exposure to authentic native-speaking environments, anxiety related to fear of negative evaluation, and predominantly passive learning processes that hinder oral proficiency. The ELSA Speak app effectively addresses these barriers by providing immediate, personalized, and detailed feedback on various critical components of spoken English, including pronunciation accuracy, intonation patterns, speech rhythm, word stress, grammatical correctness, lexical choice, and overall fluency. Employing a comprehensive literature review methodology, this study synthesizes findings from 14 peer-reviewed academic articles published between 2019 and 2024, which investigate the app’s speaking modules designed to simulate real-life communicative contexts and its autonomous learning features enhanced by gamified progress tracking systems. The evidence indicates that ELSA Speak significantly enhances learners’ pronunciation precision and oral fluency, while concurrently boosting their self-confidence and intrinsic motivation to engage in language practice. Furthermore, the application mitigates chronic speaking difficulties commonly faced by EFL learners and facilitates improved performance in authentic communicative interactions. By integrating well-established pedagogical frameworks with cutting-edge artificial intelligence technology, ELSA Speak offers an innovative, efficient, and scalable solution to address existing gaps in EFL instruction. This study contributes valuable insights into the potential of AI-driven language learning tools to transform traditional language pedagogy and foster more effective, learner-centered approaches in the digital age.
Ethical Challenges Of Ai-Assisted Efl Learning: A Library Research On Students’ Academic Integrity Zahrotul Aini Musyarofah; Naura Ariesta; Ria Anggraeni; Alisa Maharani Husaen
Tarling : Journal of Language Education Vol. 10 No. 2 (2026): Juli
Publisher : Arabic Language Education Study Program, Tarbiyah and Teacher Training, UIN Prof K.H Saifuddin Zuhri Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/5y56k942

Abstract

Background - The increasing use of Artificial Intelligence (AI) in English as a Foreign Language (EFL) learning has transformed language learning and academic writing practices. While AI offers valuable learning support, its growing presence in academic work also raises concerns regarding academic integrity and ethical conduct. Urgency of Research - Despite the growing use of AI in EFL learning, the ethical challenges of AI use in EFL contexts remain insufficiently synthesized. Research Objectives - This study examines these challenges, particularly regarding academic integrity, authorship, originality, and responsible AI use in higher education. Research Method - Using a library research approach, this study reviews and synthesizes relevant scholarly literature published between 2018 and 2024. Research Findings - The findings reveal three major ethical concerns: the blurred boundary between legitimate AI assistance and academic misconduct, challenges to traditional notions of authorship and originality, and the lack of clear institutional policies governing AI use. The review also highlights the tension between AI as a learning support tool and as a shortcut for task completion. Research Conclusion & Novelty - This study contributes an EFL-specific synthesis of ethical issues and emphasizes the importance of AI literacy, transparent usage practices, and context-sensitive policies to support responsible AI integration while maintaining academic integrity.