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All Journal Jurnal Pendidikan Akuntansi Indonesia Indonesian Journal of Educational Studies International Journal of Education Lentera Pendidikan : Jurnal Ilmu Tarbiyah dan Keguruan SIGMA: Jurnal Pendidikan Matematika MaPan : Jurnal Matematika dan Pembelajaran Formatif: Jurnal Ilmiah Pendidikan MIPA Southeast Asian Mathematics Education Journal Jurnal Ilmiah Akuntansi Peradaban Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran EduLine: Journal of Education and Learning Innovation Issues in Mathematics Education (IMED) Seminar Nasional Pengabdian Kepada Masyarakat Edutainment : Jurnal Ilmu Pendidikan dan Kependidikan Jurnal Pendidikan Terapan Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Journal of Contemporary Issues in Elementary Education Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Jurnal Sipakatau Journal of Vocational, Informatics and Computer Education Journal of Educational Studies in Science, Technology, Engineering, Arts and Humanities
Rosidah Rosidah
Universitas Negeri Makassar
Religion Arts Humanities Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Analysis of the Impact of Artificial Intelligence Technology on the Development of Students’ Academic Writing Skills in the Digital Learning Era Nur Hidayat; Wildan Muafan; Elma Nurjannah; Akhmad Affandi; Rosidah
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): December 2025
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v3i2.261

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed academic practices, particularly in supporting the development of students’ academic writing. However, empirical evidence explaining how AI utilization, automatic feedback, and personalized learning contribute to writing performance in higher education remains limited. This study examines the effects of AI utilization, AI-based automatic feedback, and AI-driven personalized learning on Students’ Academic Writing Skills (SAWS). Using an explanatory quantitative approach with a cross-sectional design, data were collected from 88 Indonesian university students through purposive sampling. Partial Least Squares–Structural Equation Modeling (PLS-SEM) was employed to evaluate the measurement and structural models. The findings show that Automatic Feedback Based on AI (AFBAI) is the strongest predictor of SAWS (β = 0.531; p = 0.000). The Utilization of AI Technology (UAIT) also has a significant positive effect (β = 0.290; p = 0.007), indicating that frequent use of AI tools contributes to improved writing skills. Conversely, Personalized Learning Based on AI (PLBAI) has no significant direct effect (β = 0.053; p = 0.350). The structural model demonstrates substantial predictive power with an R² value of 0.660. AI technologies play an essential role in enhancing academic writing performance, especially through automated feedback and consistent utilization. However, AI-driven personalized learning systems still require further optimization and deeper user engagement to meaningfully support the development of complex writing competencies.
Balancing Benefits and Risks of ChatGPT: Role of AI Ethics, Usage Habits, and Memory Loss in Learning Motivation and Performance Ridwan Daud Mahande; Rosidah
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): December 2025
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v3i2.445

Abstract

This study investigates how AI ethics, ChatGPT usage habits, and memory loss influence learning motivation and learning performance in higher education. The research addresses growing concerns about cognitive and ethical implications of AI tool usage among students, especially in relation to motivation decline and learning outcomes. Although previous studies highlight the benefits of AI tools in enhancing learning, few have explored the negative cognitive and ethical consequences of overuse. This paper fills the gap by examining how learning motivation mediates the relationship between AI-related factors and learning performance through the lens of Self-Determination Theory (SDT). A quantitative, cross-sectional design was employed using purposive sampling. A total of 539 university students who have experience using ChatGPT in academic contexts participated by completing an online questionnaire. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This study contributes to the literature by integrating AI ethics, usage patterns, and cognitive outcomes into a unified model of academic motivation and performance. It extends Self-Determination Theory into AI-assisted learning environments and emphasizes learning motivation as a psychological bridge linking ethical and cognitive concerns to learning success. AI ethics, ChatGPT usage habits, and memory loss each have a significant im-pact on both learning motivation and learning performance. Learning motiva-tion serves as a mediating variable in the relationship between all three predic-tors and academic outcomes. Among the predictors, ChatGPT usage habits emerged as the strongest positive influence, whereas memory loss exhibited the most pronounced negative effect. Ethical concerns demonstrated a modest yet statistically significant positive effect, particularly when internalized as responsi-ble academic conduct. Future research should explore longitudinal effects of AI tool use on motivation and cognition, test other theoretical frameworks such as TAM or Cognitive Load Theory, and examine new variables like AI literacy, digital well-being, and academic resilience.
Co-Authors A.M Yusran Mazidan Ahmad Talib AHMAD ZAKI Ahmar, Ansari Saleh Ainun, Rezki Awalia Akhmad Affandi Akhmad Affandi Akhmad Affandi Alya Olivia Amaliah, Asri Ainun Andi Dio Nurul Awalia Andika Isma Aprisal, Aprisal Aqil Ananda Arif Setiawan Syam Asdar . Awi Dassa Baharuddin Dary Mochamad Rifqie Dary Mochamad Rifqie Della Fadhilatunisa Elma Nurjannah Fadhil Zil Ikram Fajar Arwadi Fatahuddin Fatahuddin Fatahuddin Fauziyyah Alimuddin Fitrah Asma Darmawan Fitri Nur Azizah A. Fitria Arifiyanti Guillermo Bautista Hamda Hamda Hamda, Hamda Hamzah Upu Hasriyanti Hisyam Ihsan Ikram, Muhammad Ilham Minggi Ilham Minggi Ilyas, Muhammad Irwansyah Suwahyu Israwati Hamsar Lisca Palerina M Nur Eqhy Putra Pratama M. Miftach Fakhri Ma’rufi Ma’rufi Muh Galang Nusantara Muh Idul Akbar Pratama Muh Nur Sulaiman Muh. Ikhwan Risqullah Muh. Irsan Muhammad Alwi Muhammad Ansarullah S. Tabbu Muhammad Arafah Alif Muhammad Dwi Andika Muhammad Fardan Muhammad Fardan Muhammad Fikri Aqil Muhammad Husnul Khuluq Muhammad Takwin Machmud Mulyani Marhadi Nasrullah Nasrullah Nasrullah Novita Sari Nur Aisyah Mukhtar Nur Fadhylah As Nur Furqan Ahmad Hasan Nur Hidayat Nur Syafitra Ramadhani Nurrahmah Agusnaya Nurrahmah Agusnaya Nursyam Anaguna Nurwati Djam'an Phimlikid Kaewhanam Pramudya Asoka Syukur Pramudya Asoka Syukur Putri Nirmala Putri Nirmala Radhiah Rafiqah Ameliah Kasim Raodahtul Jannah Reski Andini Rezki Awalia Ainun Ridwan Daud Mahande Sabri Sahid Sigit Sahalik Rahman Siti Fatimah Azzahra Namar St. Zulaiha Nurhajarurahmah Sudarmanto Jayanegara Suradi Surianto B Mappangara Sutamrin, Sutamrin Syahfira Audiwinanda Talib, Ahmad Wahidah Sanusi Wahyu Hidayat M Wildan Muafan Yohana Rara Yudhi Alfian Zul Jalali Wal Ikram