Lusia Maryani Silitonga
Universitas Persatuan Guru Republik Indonesia Semarang

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The Impact of ELSA Speak on Improving English Speaking Skills and Reducing Speaking Anxiety Among Junior High School Students Elvita Sitra Fuadah; Lusia Maryani Silitonga; Jafar Sodiq
International Journal of Research in Education Vol. 6 No. 2 (2026): Issued in July 2026
Publisher : LPPM Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/ijre.v6i2.3910

Abstract

This study investigates the effect of using the artificial intelligence (AI)-based application ELSA Speak on enhancing English speaking skills and reducing speaking anxiety among 25 junior eighth-grade students at SMP Negeri 32 Semarang, Indonesia. This study used a mixed-methods approach with a single-group pretest-posttest design. Quantitative data were collected through speaking tests and the Foreign Language Classroom Anxiety Scale (FLCAS) questionnaire and analyzed using the Wilcoxon Signed-Rank Test, while qualitative data were gathered through interviews and subjected to thematic analysis with the support of MAXQDA software. The results demonstrated a significant improvement in students' speaking skills from pre-to post-test, with a very large effect size and reduced speaking anxiety. Qualitative findings revealed that ELSA Speak enhanced students’ speaking abilities, particularly in pronunciation and vocabulary mastery, while effectively reducing speaking anxiety and fostering greater confidence in oral communication.
Replika-AI-Assisted English Flipped Learning: Enhancing EFL Learners’ Willingness to Communicate, Self-Regulation, and Higher-Order Thinking Skills Shella Nabilla; Lusia Maryani Silitonga; Wiyaka Wiyaka
JOLLT Journal of Languages and Language Teaching Vol. 14 No. 3 (2026): July
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v14i3.20043

Abstract

The integration of artificial intelligence (AI) in language learning has created new opportunities to enhance students’ communicative competence and cognitive skills. This study investigated the effectiveness of integrating a flipped classroom approach with a conversational agent (Replika-AI) in improving students’ willingness to communicate (WTC), self-regulation (SR), and higher-order thinking skills (HOTS) in English-speaking learning. This research employed a mixed-method approach with a quasi-experimental design involving two groups of students from the English Language Education Study Program at Universitas PGRI Semarang. The control group implemented a traditional flipped classroom model, whereas the experimental group used a flipped classroom integrated with Replika-AI. Quantitative data were collected using Likert-scale questionnaires measuring WTC, SR, and HOTS and were analyzed using analysis of variance (ANOVA) through SPSS. Qualitative data on students’ speaking performance were analyzed using Brown’s speaking assessment framework and processed with MAXQDA software. The results indicated that students in the experimental group achieved significantly higher scores in all three variables compared to those in the control group. The integration of Replika-AI had a significant impact on students’ willingness to communicate, self-regulation, and higher-order thinking skills. Qualitative findings also revealed improvements in speaking components, including comprehension, vocabulary, fluency, pronunciation, and grammar. Overall, the findings showed that combining a flipped classroom with an AI conversational agent created a more interactive and independent learning environment, which contributed to the improvement in students’ English speaking skills.