Aguilar, Mark Gabriel Wagan
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Designing a guidebook of the English vocabulary and grammar list for junior high school students Supriani, Nanik; Aguilar, Mark Gabriel Wagan; Khosiyono, Banun Havifah Cahyo; Mundilarno, Mundilarno; Agus, Wira Tunggul Segara; Sulaimon, Jamiu Temitope
Journal of English Language and Pedagogy Vol 5 No 2 (2022)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36597/jelp.v5i2.13682

Abstract

The study aims at designing the stakeholders on the Guide book of vocabulary and grammar of English list for junior high school students. The background relied on the fact of implementing the 2013 curriculum. The students empirically had difficulty in facing the English examination since a lot of vocabulary was not well-instructed and issued at the test items. The list of vocabulary was difficult to find, and the grammar points were not complete, which determined the reading difficulty. Utilizing a descriptive-quantitative research design, a survey with open-ended questions and a focused-group discussion was done in terms of stakeholders, particularly students, teachers, and assessment instrument involvement. The findings showed that the deliberation included adding and deleting a few parts for improvement purposes, in which they had approved the one designed and presented. The finished product focused on the most important aspects of the vocabulary class, such as the characteristics of the vocabulary glossary, instructions for the guidebook use, and grammar list for the seventh- and eighth-graders. This guidebook serves as a model for the empirical learning circumstance, although it cannot be generalizable.
Efficacy of AI-based Text-to-Speech in Indonesian pronunciation training for foreign speakers (BIPA): A mixed-method analysis Putra, Yuyun Setiawan; Tansilo, Hikma; Hastomo, Tommy; Sari , Andini Septama; Aguilar, Mark Gabriel Wagan
Journal of Educational Management and Instruction (JEMIN) Vol. 5 No. 2 (2025): July-December 2025
Publisher : UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/jemin.v5i2.12403

Abstract

This study investigated the efficacy of Artificial Intelligence (AI)-based Text-to-Speech (TTS) technology in Indonesian pronunciation training for Foreign Speakers (BIPA), addressing a notable research gap concerning its specific effectiveness and learner perceptions. Employing a mixed-method quasi-experimental design with experimental (n=20) and control (n=20) groups, the research utilized pronunciation tests, perception questionnaires, and interviews. Based on the paired sample t-test, findings showed that AI TTS was significantly more effective than conventional methods in improving BIPA learners’ pronunciation in accuracy, fluency, and intelligibility. This efficacy is attributed to AI's capacity for immediate, personalized feedback and objective analysis. The qualitative data analysis revealed that learners reported overwhelmingly positive perceptions regarding AI TTS's effectiveness, engagement, and confidence-boosting impact, appreciating its non-judgmental and accessible nature. However, limitations emerged concerning voice naturalness, intonation accuracy, and the interpretation of contextual nuances. Concerns were also raised about potential over-reliance on AI, technical reliability, and data privacy. These findings strongly advocate for a blended learning approach in BIPA pronunciation instruction, strategically leveraging AI's strengths while preserving the essential value of human teaching for higher-order linguistic and cultural competence. The study contributes to applied linguistics by providing empirical insights into AI applications in second language acquisition beyond English contexts and offers practical guidance for developing adaptive, user-centered BIPA curricula and fostering responsible AI integration.