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Improving Students' Digital Literacy Through GPT Chat-Based AI Usage Training at State Vocational School 6 Bulukumba Andi Muhammad Idkhan; Sudarmanto Jayanegara; Ramli Rasjid; Samnur; Ahmad Risal Abdullah
Vokatek : Jurnal Pengabdian Masyarakat Volume 4: Issue 1 (April 2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v4i1.1194

Abstract

The development of digital technology requires students to have strong digital literacy skills to be able to use technology wisely, creatively, and productively. However, the use of artificial intelligence (AI)-based technology, particularly Chat GPT-based applications, is still not optimal in vocational high schools. This community service activity aims to improve students' digital literacy through training in the use of Chat GPT-based AI at SMK Negeri 6 Bulukumba. The implementation method includes preparation, outreach, training, hands-on practice, and evaluation of participant understanding. The training materials covered an introduction to AI concepts, the use of Chat GPT in learning, prompt development techniques, and the ethical and responsible use of AI. The results of the activity indicate an increase in students' understanding and skills in using AI technology as a supporting medium for learning and information retrieval. Students became more active, creative, and able to utilize digital technology to complete academic assignments effectively. Furthermore, this activity also raised students' awareness of the importance of digital ethics in the use of AI. Therefore, training in the use of Chat GPT-based AI can be an effective strategy for improving students' digital literacy in vocational high schools.
Analisis Implementasi Hasil Pelatihan Penggunaan Aplikasi Autodesk Inventor Pada Tim Maintenance PT. Semen Bosowa Maros Erick Darmawang; Samnur Samnur; Ismail Aqsha
Teknik Mesin "TEKNOLOGI" Vol 28, No 1 APR (2026): Jurnal Teknik Mesin TEKNOLOGI
Publisher : Universitas Negeri Makassar

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Abstract

Analisis Implementasi Hasil Pelatihan Penggunaan Aplikasi Autodesk Inventor pada Tim Maintenance PT Semen Bosowa Maros. Penelitian ini bertujuan menganalisis implementasi hasil pelatihan Autodesk Inventor pada tim maintenance PT Semen Bosowa Maros, mengidentifikasi faktor pendukung dan penghambat, serta dampaknya terhadap efektivitas kerja. Penelitian menggunakan pendekatan kualitatif deskriptif dengan strategi studi kasus. Data diperoleh melalui observasi, wawancara, dokumentasi, serta didukung data pre-test dan post-test. Hasil penelitian menunjukkan implementasi pelatihan belum merata. Sebagian peserta mampu meningkatkan efisiensi, akurasi, dan komunikasi teknis, sementara sebagian lainnya masih terkendala waktu, keterlibatan, dan kepercayaan diri.
Integrating AI-Driven Adaptive Learning and Self-Determination Theory to Enhance Employability Skills: Evidence from Vocational Higher Education Hasim, Muhammad; Rahman, Ahmad Ardillah; Sumariyanto, Iris; Samnur, Samnur; Anwar, Misita; Aminuddin, Aminuddin
International Journal of Pedagogy and Teacher Education Vol 10, No 1 (2026): International Journal of Pedagogy and Teacher Education - April
Publisher : The Faculty of Teacher Training and Education (FKIP), Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijpte.v10i1.111742

Abstract

This study tests an integrated structural model linking Artificial Intelligence (AI) use in learning, psychological factors derived from Self-Determination Theory (SDT), and employability skills among vocational education students. Specifically, AI is positioned as a contextual support associated with the fulfillment of competence, autonomy, and relatedness. A quantitative, cross-sectional design was employed using self-reported data from 263 vocational students in Indonesia, which were analyzed through Structural Equation Modeling (SEM). The results show that competence, autonomy, and relatedness are significantly associated with employability skills, with competence emerging as the strongest predictor. AI use demonstrates a significant indirect effect on employability skills, primarily through competence. In contrast, burnout, learning anxiety, and learning motivation do not show significant direct associations with employability skills, suggesting that psychological need fulfillment plays a more central role in the model. This study contributes to the literature by situating AI within the SDT framework as a contextual enabler of psychological need fulfillment in vocational education. The findings indicate that AI-supported learning environments are associated with stronger fulfillment of competence, autonomy, and relatedness, which in turn are linked to employability development. Practically, the results highlight the importance of designing AI-assisted learning environments that support competence, autonomy, and relatedness