Dian Puspita Sari Andri
Universitas Negeri Makassar

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Ethical Awareness and Perceived Risk in Generative AI Adoption: An Extended UTAUT Study among University Students Dian Puspita Sari Andri; Muhammad Fajar B
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.358

Abstract

Purpose – This study aims to extend the UTAUT by integrating ethical awareness and perceived risk to address the limitations of approaches that have predominantly emphasized usefulness and ease of use in explaining generative AI usage behavior. The study shows that ethical considerations not only complement existing factors but may also function as a direct determinant in shaping technology usage behavior. Methods – This study employed a quantitative survey with a cross-sectional design involving 327 students at Universitas Negeri Makassar. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings – The structural model results indicate that ethical awareness has a significant effect on usage behavior (β = 0.377; p < 0.001), suggesting that students with higher ethical awareness tend to use generative AI more responsibly. Social influence significantly affects behavioral intention (β = 0.618; p < 0.001) and use behavior (β = 0.194; p = 0.012). Behavioral intention also influences use behavior (β = 0.168; p = 0.002), while facilitating conditions have a positive effect on usage behavior (β = 0.193; p = 0.012). In contrast, perceived risk does not show a significant effect (β = 0.057; p = 0.256). Research implications – The cross-sectional design and the use of a single institutional sample limit causal inference and the generalizability of the findings. Originality – This study extends UTAUT by integrating ethical awareness and perceived risk. The key novelty lies in identifying ethical awareness as a direct determinant of use behaviour, highlighting the central role of ethical factors in generative AI adoption, while perceived risk shows limited influence.
Analysis of the Effect of Artificial Intelligence Integration in Design Learning on Creativity, Reflection, and Mindset Nur Indah Pratiwi; Serly Sasmita; Andi Dio Nurul Awalia; Dian Puspita Sari Andri
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

The development of Artificial Intelligence (AI) in education, especially in designteaching, offers great potential to improve students' creativity, reflection, anddesign thinking mindset. This study aims to evaluate the effect of AI integrationin design-based learning on students' creative thinking ability, reflection, anddesign mindset. The study used quantitative methods with a cross-sectionaldesign, involving 82 respondents from various departments in higher educationinstitutions. The research instrument was a questionnaire covering aspects ofcreativity, reflection, and design mindset. The data analysis technique useddescriptive analysis. The results showed that 59.76% of the respondents were 19years old, and most (85.37%) were 3rd semester students. The use of AI in designbasedlearning was proven to increase student creativity with an average score of3.66 on a scale of 5, strengthen reflection skills with an average of 3.63, andimprove design thinking mindset with an average of 3.75. However, the resultsalso revealed that AI is more effective as a supporting tool in the learning processrather than replacing direct interaction between students and educators. Therefore,AI can be integrated as a tool that supports creativity, but still requires the role ofhuman guidance.
Student Perspectives on the Importance of Digital Security Technology in Higher Education Muh. Alwan Prawira; Khaerul Hidayat Z; Andi Dio Nurul Awalia; Dian Puspita Sari Andri
Indonesian Technology and Education Journal Vol. 3 No. 2 (2025): Agustus
Publisher : Sakura Digital Nusantara

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Abstract

The dependence on digital technology in higher education has increased the need for digital security technology. This study aims to explore students' perspectives on the importance of digital security in Indonesian higher education, focusing on factors such as motivation, behavior, trust, and intention to use digital security technology. Using a quantitative descriptive approach and cross-sectional design, data were collected from 91 respondents through a Likert scale questionnaire covering the variables of Motivation and Behavior, Perceived Trust, Electronic Word of Mouth, Actual Use, and Intention to Use. The results show that students have high motivation and positive behavior towards the use of digital security technology, supported by their trust in the effectiveness of the technology and the role of the government. These findings indicate that the adoption of digital security technology can be strengthened through better digital security education and literacy, as well as supportive policies. This research contributes theoretically to the literature on technology acceptance in higher education and offers practical insights for increasing student awareness and participation in digital security.