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Suparlan .
Universitas Negeri Yogyakarta
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Journal : JOLLT Journal of Languages and Language Teaching

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The Effectiveness of Adaptive Artificial Intelligence (AI)-Based Learning in Enhancing EFL Learners’ English Structure Mastery M. Wahyu Hadi; Suryadi, Hendra; Suparlan, Suparlan
JOLLT Journal of Languages and Language Teaching Vol. 14 No. 1 (2026): January
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v14i1.17708

Abstract

The urgency of this study stems from the growing gap in English language learning, particularly in mastering English structures such as passive voice and complex sentences, which has widened in the aftermath of the COVID-19 pandemic. EFL students often struggle to comprehend complex grammatical forms, which adversely affects their writing and speaking proficiency. Adaptive AI-based technology presents a promising solution by offering personalized, interactive, and effective learning experiences. This study aims to experimentally investigate the effectiveness of adaptive AI technology in enhancing EFL students’ understanding of English structure, specifically by comparing it to conventional teaching methods. A quasi-experimental design with a pretest-posttest control group approach was employed. The population consisted of undergraduate students majoring in English, and the sample comprised 60 students divided equally into experimental and control groups. The experimental group received instruction using adaptive AI technology, while the control group was taught using conventional methods. Data were collected through pretests, posttests, questionnaires, and interviews. Inferential statistical analysis, including MANOVA, was conducted to determine significant differences in grammar mastery between groups. The results indicated a statistically significant improvement in the experimental group's posttest scores (M = 84.70) compared to the control group (M = 74.30), particularly in mastering passive voice and complex sentences. Students also reported positive perceptions of the AI-based learning experience. This study contributes to the advancement of English language teaching and offers a scalable model for integrating adaptive AI in language education.
Co-Authors Ahmad Zuhri Rosyidi Akbar, M. Fauzul Alwi, M. Yusuf Andika Noviawan, Lalu Annisa, Tiara Aurelio, Iqbal Ayatullah Ayman, Raisyafitri Ayu Apriliani Ayuni Hartika Baehaqi Baiq Liza Andini Darmanto Desi Intan Berlianawati Dewi Rispawati Eko Supriastuti Elvina Setiawati Eriyandi Eva Solina Fathithia Sandi Fathurrohman Fathurrohman Fazilatun Nisa Feryansyah Feti Fatonah Fitri, Yelli Gema Sri Basyir Harianto Harianto Hendra Prasetia Hendra Suryadi herliana rosika Hidayat, Lalu Muhammad Taufik Hidayatul Akma Hidayatullah, Muh. Roni Ilen Marliani Intan Dwi Lestari Irrofiqi, Aidil Himam Ismail, Afrinaldy Izzudin, Ahmad Johan Wahyudi Johan Wahyudi, Johan Jumaidi, Lalu Takdir Kanom, Kanom Kembang, Lale Puspita Khaerul Umam Khaerul Umam, Khaerul Khotmi, Herawati Kus Eddy Sartono Lalu Mahsar M Juniansyah Putra M. Wahyu Hadi Mahdintara, M. Andreza Mahsar, Lalu Mami Hajaroh Marvavilha, Azmah Masyudi Masyudi Masyudin, Masyudin Maya, Devintha Elistya Muh. Wildan Muhammad Arif Sulaiman Muhammad Qomaruddin Ridwan Mul, Muliadi Munawirsazali, Munawirsazali Nadia Salsabila Naufan, Nur Arfian Ningsi, Fitri Nora Listantia Novita Sari Nurhayati Nurhayati Nurohmah, Lutfiana Pariastana, I Nyoman Purwaningtyas, Dian Anggraini Rahmadoni, Firman Reniati Reniati Resma Wahyu Yudithia Ressa Elok Windari Resty Yusnirmala Dewi Rini Adriani Auliana Rini Luciani Rahayu, Rini Luciani Rizal , Samsul Sabdo Purnomo Safitri, Marlina Sarudin Efendi Sholihah, Yumna Qoni’atun Slamet Ariftoni Solina, Eva Sri Maryanti Syukri Fathudin AW Tohazein Toni Ulia, Simayatul Vivi Silfiyani Anisa Putri Wardiningsih, Reny Widiyanto Widiyanto Winarti, Rahayu Yeni Marisa Yoga Dewantara, Mochamad Faisal Yuan Aghtania Salsabila Yulis Sunartiana Yusa, Fawwaz Zuhi Rahmawat