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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Journal of Applied Science, Engineering, Technology, and Education Mattawang: Jurnal Pengabdian Masyarakat
Jannah, Devi Miftahul
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health Social Sciences Other

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From Ethics to Impact: Modeling the Role of AI Perception Dynamics in the Relationship Between Ethics AI Practices, AI-Driven Societal Impact, and AI Behavioral Analysis Fakhri, M. Miftach; Jannah, Devi Miftahul; Isma, Andika; Dewantara, Hajar; Nirmala S., Aprilianti
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3802

Abstract

The rapid evolution of Artificial Intelligence (AI) has brought significant changes across various sectors, including healthcare, finance, and criminal justice, presenting both remarkable opportunities and complex ethical challenges. As AI becomes increasingly embedded in decision-making processes, concerns about individual rights, social equity, and public trust are growing, especially in high-stakes contexts. These ethical implications underscore the critical need for robust frameworks that emphasize AI transparency, accountability, and fairness to mitigate risks such as bias and ensure responsible usage. Despite the increased focus on ethical AI practices, there remains a considerable gap in understanding how these frameworks impact societal perceptions and behaviors toward AI. This study seeks to address this gap by investigating the effects of ethical AI practices—specifically transparency, accountability, and fairness—on public perceptions and behaviors. The study employs a quantitative approach, using purposive sampling to select a sample of AI-knowledgeable participants and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). This methodological approach allows for a detailed exploration of the relationships between ethical AI practices and societal impacts. Additionally, the study examines the mediated pathways through which these ethical practices influence AI’s societal and behavioral impacts, hypothesizing that transparency and accountability foster trust and positive engagement. By developing a framework that aligns ethical AI practices with societal values, this study aims to advance the broader goals of societal trust, public acceptance, and sustainable social integration of AI technologies. These insights contribute to the growing body of knowledge on responsible AI deployment, supporting ethical alignment in diverse AI applications and promoting trustworthiness in AI-driven systems
Portal Digital Berbasis Website dan AR/VR untuk Penguatan Link and Match melalui VocationalFive 4.0 di SMKN 5 Barru Baso, Fadhlirrahman; Prima, Kurnia Wahyu; Nurfauziah, Nurfauziah; Jannah, Devi Miftahul; Nurjannah, Elma
Mattawang: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.mattawang4303

Abstract

Vocational High School (SMK) graduates in Indonesia face the problem of competency mismatch with the needs of the world of work, reflected in the high open unemployment rate of 9.42% (BPS, 2023). The community service program at SMKN 5 Barru aims to increase the capacity of teachers and students by utilizing the VocationalFive 4.0 portal based on Augmented Reality (AR) and Virtual Reality (VR). A participatory action research approach was used, including needs identification, training, mentoring, and evaluation. The results showed improved skills with an average post-test score of 85.17 and increased teacher confidence in using AR/VR. The portal was also rated as relevant for publication of work, alumni tracking, and career navigation. The findings confirm the importance of digital technology integration in vocational education, which can create interactive learning and align with industry needs. This program has the potential to become a model for developing AR/VR-based learning with an alumni tracer system.
Artificial Intelligence Over-Reliance Mediates Performance Expectancy, Social Influence, and Inert Thinking in University Students Novianti, Andi Fitri; Mappeasse, Muhammad Yusuf; Fakhri, M. Miftach; Jannah, Devi Miftahul
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 11 No 1 (2026): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v11i1.29451

Abstract

The rapid integration of artificial intelligence (AI) in higher education is reshaping students’ learning behaviors and cognitive engagement. Although AI tools enhance academic efficiency, excessive reliance on these technologies may unintentionally foster inert thinking by reducing independent cognitive processing. This study investigates the mediating role of over-reliance on artificial intelligence in the relationship between performance expectancy, social influence, and inert thinking among university students. A quantitative cross-sectional survey was conducted with 342 undergraduate students from multiple universities. Data were collected using a structured questionnaire grounded in technology acceptance theory and cognitive learning perspectives and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy and social influence significantly predict students’ over-reliance on AI, which in turn significantly mediates their relationship with inert thinking tendencies. These findings suggest that while AI-supported learning environments improve task performance, excessive dependence on AI may weaken students’ independent cognitive engagement. This study contributes empirical evidence to the emerging literature on AI-mediated learning by clarifying the cognitive risks associated with AI dependency and highlighting the importance of designing balanced AI-integrated instructional environments that promote responsible use while sustaining critical thinking development.
Co-Authors Andika Isma Aprilianti Nirmala S Baso, Fadhlirrahman Hajar Dewantara Kurnia Wahyu Prima M. Miftach Fakhri Mappeasse, Muhammad Yusuf Nirmala S., Aprilianti Novianti, Andi Fitri Nurfauziah Nurfauziah, Nurfauziah Nurjannah, Elma