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Journal : Transformasi

The Effectiveness of Artificial Intelligence and Deep Learning Tools in Enhancing Academic Journal Writing: A Mixed Methods Study of Arabic Language Education Students in Indonesia Zulaikha, Zulaikha; Setyawan, Cahya Edi; Mabruri, Mabruri; Rauhillah, Siti
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.429

Abstract

This study investigates the effectiveness of Artificial Intelligence (AI) and Deep Learning (DL) tools in enhancing academic journal writing skills among students in the Arabic Language Education program at UIN Maulana Malik Ibrahim Malang. Utilizing a mixed-methods approach within a quasi-experimental design, the research involved 90 final-year students divided into experimental and control groups. The intervention group employed AI-based tools such as ChatGPT, Grammarly, and Quilbolt throughout the writing process, while the control group relied on conventional methods. Data were collected through pre-test and post-test assessments, reflective journals, and structured questionnaires. Quantitative results showed a statistically significant improvement in writing performance among students who used AI tools, with large effect sizes (Cohen’s d > 1.0). Qualitative findings revealed that students engaged critically with AI outputs, valued teacher feedback, and developed ethical awareness regarding authorship and originality. The integration of AI tools also increased student confidence, enhanced writing fluency, and promoted autonomous learning. However, limitations in semantic precision and rhetorical fit especially in theology-specific content necessitated human revision. These findings affirm the role of AI as a cognitive scaffold in academic writing and highlight the need for culturally responsive, ethically guided AI integration in language teacher education.Keywords: Artificial Intelligence, Academic Writing, Deep Learning, Arabic Education, Cognitive Scaffold
The Effectiveness of Artificial Intelligence and Deep Learning Tools in Enhancing Academic Journal Writing: A Mixed Methods Study of Arabic Language Education Students in Indonesia Zulaikha, Zulaikha; Setyawan, Cahya Edi; Mabruri, Mabruri; Rauhillah, Siti
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.429

Abstract

This study investigates the effectiveness of Artificial Intelligence (AI) and Deep Learning (DL) tools in enhancing academic journal writing skills among students in the Arabic Language Education program at UIN Maulana Malik Ibrahim Malang. Utilizing a mixed-methods approach within a quasi-experimental design, the research involved 90 final-year students divided into experimental and control groups. The intervention group employed AI-based tools such as ChatGPT, Grammarly, and Quilbolt throughout the writing process, while the control group relied on conventional methods. Data were collected through pre-test and post-test assessments, reflective journals, and structured questionnaires. Quantitative results showed a statistically significant improvement in writing performance among students who used AI tools, with large effect sizes (Cohen’s d 1.0). Qualitative findings revealed that students engaged critically with AI outputs, valued teacher feedback, and developed ethical awareness regarding authorship and originality. The integration of AI tools also increased student confidence, enhanced writing fluency, and promoted autonomous learning. However, limitations in semantic precision and rhetorical fit especially in theology-specific content necessitated human revision. These findings affirm the role of AI as a cognitive scaffold in academic writing and highlight the need for culturally responsive, ethically guided AI integration in language teacher education.Keywords: Artificial Intelligence, Academic Writing, Deep Learning, Arabic Education, Cognitive Scaffold
Co-Authors Abror, Dhimam Adela iga Fapila Adha, Yusi Kesuma \ Adhitya Reza Kurniawan, Adhitya Reza Adi Putri Nur Rohmah Adiningtyas, Rachmatika Aglista Ramadhanty Agni Istighfar Paribrata, Agni Istighfar Ahmad Reza Dwi Permana Ajeng Primasari Alvian Adhiprasetya Amalo, Vicoas Trisula Bhakti Aminah Amirul Mustofa Anggit Tri Retnoningtyas Ani Nur Aeni, Ani Nur Annisa Devi Lestari Arif Nugraha Arif Rahman Arisanti, Riska Athira Salsabila Aulia Rizki Arjanggie Ayu Primasari Azka Mohammad Bachrul Amiq Daniel Susilo Danis Ardyansah Dewi Setyoningrum Dizon, Carl C. G. Dwinita Wulandari Faishal Rasyid Muzakki Farhan Ramadhan Farida Farida Farni Syam Maella, Nur'annafi Firna Sayyidatul Qurroh 'Aini Fitra Rahmadi Ibrahim Gunadi, Radila Putri Hana Pratiwi Burhan Harliantara Harliantara Hashemi Rodhian Hanum Howay, Fenelon Huriyah Huriyah, Huriyah Husni Mubarok Ibrahim Rabbani Ilham Papahan Ilmi, Ahmad Zainal Inayah Inayah Indrayanti, Erlin Intan Ratna Pratiwi Jeska Almira Indyanti Kencana Herdianto Eling Asmara Khoirunnisa Heristin Kurniawan, Krisna Kurniawan, Krisna Luke, Luke Mabruri, Mabruri Maella, Nur’annafi Farni Syam Mafulah, Nita Maghfuroh, Mazkiyah Mela, Angela Graciana Koli Mia Selvina Mohammad Danu Bachtiar Mufidah Mufidah Muhammad Zico Muhammad, Yuzril Fadhil Nabillah, Dinda Tara Nadya Talitha Niko Ariston Depari Norasia, Yolanda Nugraha, Fauzan Ramdhan Nur Gandhi Mahesti Nurnannafi Farni Syam Maella NURUL HIKMAH Nur’annafi Farni Syam Maella Nutfi Rizki Hertina Paojan, Ahmad Paskalino Solossa, Amos Michael Ivano Paulus Basuki Hadiprajitno Petri Natalia Prafitri, Anistia Prasetyo, Iwan Joko Putriani, Lisa Qurroh 'Aini, Firna Sayyidatul R. A. Annisa Novitasari Rahayu Sulistiyani Rahmi Muharrina, Cut Rahmi, Putri Rauhillah, Siti Redi Panuju, Redi Regina Indraswari Susmitha Rika Juli Arta Rointan Silalahi Rosalia Erta Prawesti Rugaiyah Sari, Febia Sari, Reny Kartika Sayyidatul Qurroh 'Aini, Firna Selina Aulia Azahra Setyawan, Cahya Edi Shela Nur Fajriya Siti Azizah Sofiati SRI ASTUTIK Suntoro Suntoro Supriyatna, Dede Syam Maella, Nur’annafi Farni Sylvia, Ardheana Mega Theresia Fanny Lia Hanbo Tidore, Julia Natasya Tri Widyastuti Tulmira, Julia Umar, Marwa Widianto, Didik Sugeng widiarto, Didik Sugeng Yarah, Saufa Yenni Yenni YENNY YENNY Yohanes Jefrinus Bessy