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Artificial Intelligence for EFL Students' Listening Skills Akmal, Akmal; Perkasa, Adi Budi; Aziz, Roslina Abdul
Celt: A Journal of Culture, English Language Teaching & Literature Vol 24, No 2: December 2024, Nationally Accredited
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/celt.v24i2.12264

Abstract

Text-to-Speech is an AI product that involves artificially producing human speech by converting text into voice using a speech synthesizer. The role of AI in ESL and EFL language instruction has been studied since 2010. However, to the best of the authors' knowledge, research on the effectiveness of text-to-speech-based (TTS) e-modules in enhancing the listening skills of EFL students in Indonesia is still limited. The aim of this study is to investigate the impact of Text-to-Speech-based e-modules (TTS e-modules) on the listening skills of EFL students in Indonesia. The TTS e-module was designed using the R D research approach with the ADDIE model. The samples were 60 seventh-grade students of junior high school in Tasikmalaya, Indonesia. During the evaluation phase, a pre-post quasi-experiment was conducted. The findings, evaluated using the 100-point scale, indicate below-average pre-test mean scores for both the control group (41.87) and the experimental group (37.87). After the intervention (using a TTS e-module for one semester / 14 classroom sessions x 90 minutes), the mean for the control group was 52.13, while that of the experimental group mean score increased to 69.93. The independent sample t-test scores confirmed significant differences in achievement, as indicated by the p-value of 0.000 0.05. This indicates that the null hypothesis was rejected. Positive student evaluations of the e-module further support the study's findings. The study concludes that the TTS e-module significantly improved the listening abilities of the participants. This research has implications for educators, students, and future scholars, and provides valuable insights into the innovative use of technology for language learning.
Functional Categories of Lexical Bundles in Indonesian EFL Textbooks: A Corpus-Based Study Lestari, Esti Sapta; Oktavianti, Ikmi Nur; Aziz, Roslina Abdul
Indonesian Journal of EFL and Linguistics Indonesian Journal of EFL and Linguistics, 10(1), May 2025
Publisher : Pusat Pelatihan, Riset, dan Pembelajaran Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21462/ijefl.v10i1.907

Abstract

Lexical bundles, which are recurring sequences of multiple words, play a crucial role in both written and spoken discourse. Understanding the presence and patterns of these bundles in educational materials is essential for effective language instruction and material development.This research aims to identify the most commonly utilized functional classifications of 3-word lexical bundles in junior high school EFL textbooks. This study employed a descriptive quantitative research methodology with a corpus-based analysis approach. The study's main methodological framework is a corpus-based approach, which combines quantitative and qualitative components to offer a thorough examination of the data. The data of this research comprises a collection of Indonesian junior high school EFL textbooks officially approved by the Ministry of Education. Specifically, the study examined textbooks used in grades 7-9, published in 2022. AntConc 4.3.1 was used to analyze the corpus, and N-Gram Tool was used to generate the 3-word lexical bundles in this study. The study shows that the most commonly utilized functional classifications of 3-word lexical bundles in junior high school EFL textbooks is the referential expressions category; there are 914 bundles (44.76%). Furthermore, the implication of this research is that these bundles should be used by educators, especially those implementing the independent curriculum, to create instructional materials that enhance students' syntactic and pragmatic skills.