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All Journal Vokatek : Jurnal Pengabdian Masyarakat Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Journal of Vocational, Informatics and Computer Education Journal of Deep Learning, Computer Vision and Digital Image Processing Indonesian Technology and Education Journal Jurnal MediaTIK Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan Innovation and Applied Education Journal
Andi Dio Nurul Awalia
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Humanities Computer Science & IT Education Engineering Social Sciences Other

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Journal : Journal of Vocational, Informatics and Computer Education

 1 
Integrasi ChatGPT dalam Blended Learning dalam Mengoptimalkan Pemahaman Materi Pembelajaran Aminuddin; Nurmila; Pramudya Asoka Syukur; Nurul Islamia; Andi Dio Nurul Awalia
Journal of Vocational, Informatics and Computer Education Vol 2, No 2 (2024): Desember 2024
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/voice.v2i2.20246

Abstract

Kemajuan teknologi menghadirkan tantangan bagi perguruan tinggi untuk menghasilkan lulusan yang tidak hanya menguasai ilmu pengetahuan, tetapi juga mampu memanfaatkan teknologi digital dalam mendukung produktivitas dan daya saing. Penelitian ini bertujuan untuk menganalisis pengaruh integrasi blended learning dan ChatGPT terhadap pemahaman materi, efisiensi pembelajaran, dan pengalaman penggunaan di perguruan tinggi. Metode yang digunakan adalah pendekatan kuantitatif dengan desain penelitian cross-sectional dan pengumpulan data melalui kuesioner menggunakan skala Likert. Hasil penelitian menunjukkan bahwa blended learning secara efektif meningkatkan pemahaman materi dengan partisipasi aktif dalam diskusi, ChatGPT mendukung motivasi dan kreativitas mahasiswa dalam belajar, serta kombinasi keduanya meningkatkan efisiensi pembelajaran melalui penghematan waktu dan akses informasi yang lebih baik. Mayoritas responden memberikan tanggapan positif terhadap penerapan model ini, mencerminkan keberhasilan integrasi teknologi dalam pembelajaran. Hasil ini juga mendukung relevansi blended learning dan ChatGPT sebagai solusi inovatif dalam memenuhi kebutuhan pembelajaran modern. Penelitian ini mengimplikasikan bahwa integrasi teknologi dalam pendidikan dapat mempercepat transformasi pembelajaran yang lebih efektif dan fleksibel.
Digital Ethics and Learning Autonomy in Artificial Intelligence in Education: The Mediating Role of Trust in AI Nabilah Rahman; Elsa Natasya; Andi Dio Nurul Awalia; Muh. Yusril Anam; Della Fadhilatunisa
Journal of Vocational, Informatics and Computer Education Vol 3, No 2 (2025): Desember 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/s6eema73

Abstract

The rapid advancement of Artificial Intelligence in Education (AIED) has transformed digital learning practices while simultaneously raising critical concerns related to ethics, privacy, and user trust, which increasingly influence students’ ability to develop autonomous learning behaviors in AI-driven environments. This study aims to examine the relationships among Technology Readiness, Digital Learning Motivation, Digital Privacy Awareness, and Digital Ethics on Learning Autonomy, with Trust in AI serving as a mediating variable. A quantitative cross-sectional research design was employed involving 105 undergraduate students from Universitas Negeri Makassar, and data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results indicate that the proposed model explains 78.8% of the variance in Trust in AI and 84.3% of the variance in Learning Autonomy. Digital Learning Motivation shows a significant positive effect on Trust in AI and Learning Autonomy, while Digital Ethics also significantly influences both constructs; however, Technology Readiness and Digital Privacy Awareness do not significantly predict Trust in AI. Mediation analysis reveals that Trust in AI partially mediates the relationships between Digital Learning Motivation and Digital Ethics with Learning Autonomy. These findings demonstrate that psychological and ethical factors play a more decisive role than technical readiness in fostering trust and supporting autonomous learning in AIED contexts, highlighting the practical importance of integrating digital ethics education and motivational support into AI-based learning systems. Future research should employ longitudinal designs, broader samples, and additional variables such as AI literacy to further explore learning autonomy in AI-driven education.
Co-Authors Abd Majid Adila Wafia Dahlan Agusnaya, Nurrahmah Ainun Mardiah Akis, Dwi Ihza Sari Aminuddin, Amin Andi Rhyta Samantha Valda Annajmi Rauf Aprilianti Nirmala S Aprilianti Nirmala S. Aqsa Mahmud Asham Bin Jamaluddin Azzah Ulima Rahma Della Fadhilatunisa Desy Maryani Devi Miftahul Jannah Dian Puspita Sari Andri Dwi Hana Pertiwi Elma Nurjannah Elsa Natasya Fadilah Husnul Khatimah Faturrahman Haris Ilham Daffa Maulana Irwansyah Suwahyu Khaerul Hidayat Z M. Aflah Ogi Daffa M. Miftach Fakhri Marwan Ramdhany Edy Muh. Akbar Muh. Alwan Prawira Muh. Rahmat Wahyudi JY Muh. Yusril Anam Muhammad Alfin Muammar Muhammad Argya Yunansyah Muhammad Raihan Nabilah Rahman Nur Fadhylah As Nur Indah Pratiwi Nurfaisa Riono Nurjannah, Elma Nurmila Nurrahmah Agusnaya Nurul Ilmi, Nurul Nurul Islamia Pramudya Asoka Syukur Putri Fariza Putri Nirmala Rezky, Muhammad Rizky Aulia Rosidah Serly Sasmita Sofyan, Vina Annisa St Hutami Haryati Stelani Yunianti