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Pelatihan SmartPLS Berbasis Online sebagai Upaya Peningkatan Kompetensi Analisis Data Mahasiswa Annajmi Rauf; Andi Dio Nurul Awalia; Rosidah; Irwansyah Suwahyu; Asham Bin Jamaluddin; M. Miftach Fakhri
Vokatek : Jurnal Pengabdian Masyarakat Volume 3: Issue 3 (Oktober 2025)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Percepatan transformasi digital di perguruan tinggi menuntut kesiapan infrastruktur dan ketersediaan materi pembelajaran yang relevan untuk mendukung proses belajar berbasis teknologi. Namun, berbagai laporan menunjukkan masih adanya kesenjangan akses teknologi dan materi digital yang memadai, sehingga berdampak pada rendahnya keterlibatan dan kepercayaan diri mahasiswa dalam mengikuti pelatihan online, termasuk pelatihan analisis data menggunakan software SmartPLS. Kondisi ini menegaskan perlunya kajian empiris mengenai peran Availability of Learning Materials (ALM) dan Accessibility and Connectivity (AC) terhadap tingkat Participant Engagement (PE) dengan Confidence (C) sebagai variabel psikologis yang berpengaruh. Penelitian ini menggunakan metode pre-experimental dengan desain One-Shot Case Study (X → O), di mana 62 mahasiswa menerima perlakuan berupa pelatihan SmartPLS dan kemudian mengisi kuesioner posttest. Hasil analisis deskriptif menunjukkan bahwa ALM berada pada kategori sangat baik, AC berada pada kategori baik, C meningkat meskipun belum optimal, dan PE berada pada kategori baik. Temuan ini menegaskan bahwa kualitas materi serta akses teknologi yang memadai berperan penting dalam membangun self-efficacy mahasiswa dan meningkatkan keterlibatan peserta pada pelatihan daring. Penelitian ini memberikan implikasi praktis bagi pengembangan pelatihan teknis berbasis teknologi, terutama pentingnya menyediakan materi komprehensif, memastikan dukungan konektivitas, serta menambah sesi praktik mandiri guna meningkatkan efektivitas pelatihan di masa mendatang.
Artificial Intelligence Interaction in Higher Education: A Life-Course Perspective on Digital Well-Being, Learning Outcomes, Motivation, and Ethical Awareness Ikrananda; Indah Amaliah; Annajmi Rauf; Muh. Yusril Anam; Irwansyah Suwahyu
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 1 (2026): Artificial Intelligence in Lifelong and Life-Course Education
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aillce.v1i1.2

Abstract

Purpose – The increasing integration of artificial intelligence (AI) in higher education offers significant opportunities to enhance learning effectiveness, yet it also raises concerns related to digital well-being, learner motivation, and ethical awareness. From a life-course education perspective, early adulthood represents a critical transitional phase in which patterns of interaction with AI may shape long-term learning habits and readiness for lifelong learning. However, empirical evidence examining how AI interaction influences learning outcomes through psychological and instructional mechanisms remains limited. This study examines the effects of student interaction with AI on learning outcomes, learning motivation, and ethical awareness, with digital well-being and instructional design quality positioned as mediating variables.Design/methods/approach – A quantitative cross-sectional survey was conducted with 145 undergraduate students at a public university in Indonesia. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine direct and mediating relationships among the proposed constructs.Findings – The results indicate that student interaction with AI has a significant positive effect on digital well-being, instructional design quality, learning motivation, and learning outcomes. Digital well-being and instructional design quality serve as important mediating mechanisms through which AI interaction enhances motivation and academic achievement. However, interaction with AI does not directly improve students’ ethical awareness, suggesting that ethical sensitivity does not emerge automatically through AI use without explicit pedagogical intervention.Research implications/limitations – These findings underscore the importance of designing AI-supported learning environments that promote cognitive engagement, digital well-being, and pedagogical quality while deliberately integrating ethical instruction. The study is limited by its cross-sectional design, single-institution context, and reliance on self-reported data.Originality/value – This study contributes to the literature on artificial intelligence in education by integrating digital well-being and instructional design quality as mediating mechanisms within a life-course framework, offering insights into how AI interaction during early adulthood may influence sustainable and responsible lifelong learning.