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All Journal Jurnal Pengabdian Masyarakat UPGRADE: Jurnal Pendidikan Teknologi Informasi
Nining Anggeraini
Universitas Bumigora
Religion Computer Science & IT Education Library & Information Science Social Sciences Other

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PLS-SEM Analysis of Students’ AI Use Examining the Impact of Computational Thinking and Deep Learning Skills Reny Refitaningsih Peby Ria; Nining Anggeraini; Lalu Setia Yuda; Mia Awaliyah
Upgrade : Jurnal Pendidikan Teknologi Informasi Vol 3 No 2 (2026): Februari
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/upgrade.v3i2.6159

Abstract

The massive integration of generative artificial intelligence (AI) in higher education, particularly in scientific writing, calls for a deeper examination of the cognitive foundations underlying students’ AI use. Although prior research has predominantly focused on AI adoption and attitudes, limited attention has been devoted to modeling the cognitive skills that meaningfully shape AI engagement. Addressing this gap, the present study develops and empirically tests a structural model of students’ AI use by investigating the roles of Computational Thinking (CT) and Deep Learning Skills (DLS).A quantitative correlational research design was employed, involving 273 undergraduate students from three teacher education programs. Data were collected using a structured self-administered questionnaire and analyzed through Partial Least Squares–Structural Equation Modeling (PLS-SEM) to evaluate both the measurement model (reliability and validity) and the structural relationships among constructs. The results indicate that both CT and DLS significantly predict students’ AI use in academic writing, with DLS demonstrating a stronger structural effect. The proposed model explains a moderate proportion of variance in AI utilization, suggesting that higher-order cognitive and learning competencies function as central determinants of effective and responsible AI engagement. These findings contribute theoretically by positioning AI use not merely as a technological adoption issue but as a cognitively grounded learning process. The study further implies that higher education curricula should systematically integrate CT and DLS development to ensure that AI serves as a cognitive augmentation tool that strengthens academic integrity and learning quality.
Peningkatan Kesiapan Siswa dalam Pengambilan Keputusan Rencana Pendidikan dan Karier melalui Asesmen Digital Nining Anggeraini; Wiwik Wida Farwati; Memy Wardani Elthia; Intan Diva Ivena; Eptina Fatmawati; Nur Alfilail
Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v5i1.478

Abstract

Choosing an academic major is one of the most important decisions faced by high school students before entering higher education. However, many students experience difficulties in selecting an appropriate study program due to limited information about available majors, career prospects, and an insufficient understanding of their own interests and competencies. This community service program aimed to assist students in identifying their potential and making informed decisions regarding their future study programs through academic major orientation and the use of the Rencanamu.id digital assessment platform. The program employed a participatory educational approach involving 40 twelfth-grade students. Activities included presentations on higher education study programs, career opportunities, and the importance of self-awareness regarding interests and competencies, followed by guided use of the Rencanamu.id platform through interest and personality assessments, as well as participant evaluations. The results indicated that students gained a better understanding of the relationship between their interests, personality traits, competencies, and study program choices. The digital assessment platform helped students identify their potential more objectively and provided recommendations for study programs and career pathways aligned with their profiles. Participants also expressed positive perceptions of the platform, highlighting its ease of use and usefulness in educational planning. These findings suggest that integrating academic major orientation with digital assessment tools can serve as an effective career guidance strategy to support educational decision-making among high school students.
Co-Authors Eptina Fatmawati Intan Diva Ivena Lalu Setia Yuda Memy Wardani Elthia Nur Alfilail Reny Refitaningsih Peby Ria Wiwik Wida Farwati