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All Journal Mattawang: Jurnal Pengabdian Masyarakat Journal of Economic Education and Entrepreneurship Studies Information Technology Education Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Artificial Intelligence in Lifelong and Life-Course Education
Awalia, Andi Dio Nurul
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pemberdayaan Masyarakat Sekolah melalui Penguatan Literasi Digital Berbasis AI dan AR dalam Eksplorasi Sains di SMAN 4 Barru : Penelitian Surianto, Dewi Fatmarani; Zulfikar, Muh Ihsan; Hasnining, Ayu; Agusyana, Nurrahmah; Nirmala, Putri; Awalia, Andi Dio Nurul
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.2795

Abstract

The development of digital technology requires teachers to have adequate digital literacy in order to be able to design innovative, relevant, and adaptive learning that meets the needs of students. This activity aims to improve the competence of teachers at SMAN 4 Barru in utilizing AI Chatbot (LioraTa'), ChatGPT, and Augmented Reality (AR) for biology learning. The implementation method was carried out through Participatory Action Research (PAR) involving 26 teachers and students from SMAN 4 Barru. Evaluation was conducted through pre-tests and post-tests as well as direct observation of practice. The first result showed an increase in the average score from 8.896 (74%) on the pre-test to 10.733 (89%) on the post-test, indicating a significant improvement in teachers' understanding of digital literacy. The second result was that teachers acquired practical skills in designing chatbot conversation flows, compiling ChatGPT-based teaching materials, and utilizing AR for biology experiments, making learning more interactive and contextual. The third result was that teachers reported an increase in confidence in using digital technology and awareness of the importance of AI and AR-based learning innovations to support the quality of education. In conclusion, this training successfully had a positive impact on teachers' mastery of concepts, practical skills, and readiness to integrate digital technology into biology learning, while also strengthening their position.
Empowering South Sulawesi MGMP Economics Teachers through Digital Economic Literacy and Artificial Intelligence: Pemberdayaan Guru Ekonomi MGMP Sulawesi Selatan melalui Literasi Ekonomi Digital dan Artificial Intelligence Nurhayani, Nurhayani; Ryketeng, Masdar; Akbar, Muh.; Fakhri, M. Miftach; Rauf, Annajmi; Awalia, Andi Dio Nurul; Isma, Andika
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.mattawang4335

Abstract

The transformation of education in the digital era requires teachers to have adequate technological literacy, especially in economic learning that is relevant to the dynamics of everyday life. This service program aims to improve teachers' digital economic literacy through a Kahoot-based game-based learning approach. Four main materials were developed, namely Shares, Online Gambling, Life Trail, and MagicSchool AI. The activity was carried out with the South Sulawesi Economics Teacher MGMP Forum using a Participatory Action Research (PAR) approach through the stages of socialization, training, implementation, mentoring, and evaluation. The methods used were interactive quizzes, simulations, discussions, and hands-on practice. The evaluation results showed a significant increase in teachers' understanding, with the highest achievement in the material of Shares and MagicSchool AI. This training not only strengthens teachers' digital skills, but also fosters their reflective, collaborative attitudes and readiness as agents of change in integrating digital technology in economic learning.
Explaining Tax Digitalization Adoption: The Mediating Role of Digital Literacy in the Effects of AI-Driven Automation, Effort Expectancy, and Facilitating Conditions Fadhilatunisa, Della; Fakhri, M. Miftach; Nirmalasari, Aprilianti; Awalia, Andi Dio Nurul; Soeharto, Soeharto
Journal of Economic Education and Entrepreneurship Studies Vol. 6 No. 3 (2025): VOL. 6, NO. 3 (2025): JE3S, SEPTEMBER 2025
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/je3s.v6i3.9399

Abstract

The acceleration of tax digitalization through artificial intelligence (AI) has redefined modern taxation systems; however, its success largely depends on users’ digital literacy and readiness to embrace automation. This study investigates the mediating role of digital literacy in the relationship between AI-driven automation, facilitating conditions, and effort expectancy on tax digitalization adoption in Indonesia. Employing a quantitative approach with a cross-sectional survey design, data were collected from 161 individual and professional taxpayers using purposive sampling methods. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results demonstrate that digital literacy exerts the strongest direct and significant influence on the adoption of tax digitalization. It also mediates the effects of AI-driven automation and facilitating conditions, whereas effort expectancy shows a positive but statistically insignificant relationship. These findings underscore that digital literacy is not merely a supporting factor but a fundamental determinant of successful digital tax transformations. This study implies that policies aimed at promoting tax digitalization should prioritize digital literacy enhancement through systematic education, technical training, and user-friendly system design. By strengthening digital competence, tax authorities can increase user engagement, improve compliance, and facilitate an equitable digital transformation within tax administration.
AI Awareness, Literacy, and Social Influence Predict Ethical Reasoning and Responsible Use in Higher Education Nurul Febrianti; Diandra, Aristia Anastasya; Awalia, Andi Dio Nurul; Fadhilatunnisa, Della; Fakhri, M. Miftach
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 2 (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.v1i2.17

Abstract

Purpose – This study investigates how AI awareness, AI literacy, and social influence shape students’ AI ethics and, consequently, responsible AI use in higher education.Design/methods/approach – A quantitative cross-sectional survey was conducted with 101 university students in South Sulawesi, Indonesia, who had experience using AI-based learning tools. Data were analyzed using partial least squares structural equation modeling to assess measurement validity and test structural relationships, including the mediating role of AI ethics.Findings – AI awareness and AI literacy have significant positive effects on AI ethics, with AI literacy emerging as the strongest predictor. Social influence shows a significant negative association with AI ethics, indicating that unregulated peer and environmental pressure may encourage AI adoption while weakening ethical sensitivity. AI ethics significantly predicts responsible AI use and mediates the effects of AI awareness, AI literacy, and social influence on responsible use. These results highlight that responsible AI engagement depends not only on cognitive readiness but also on the ethical norms governing how AI is used in academic contexts.Research implications/limitations – The study is limited by its cross-sectional design, self-reported data, and a sample restricted to one region, which may limit causal inference and generalizability.Originality/value – This study provides empirical evidence that AI ethics is a central mechanism linking cognitive and social factors to responsible AI use, informing institutional AI governance, literacy programs, and ethical policy development in higher education.
Utilizing AI in Digital Learning: The Role of Metacognitive Reasoning, Organizational Support, and Socioeconomic Status in Enhancing Academic Performance through Intrinsic Motivation Awalia, Andi Dio Nurul; Rosidah; M.Miftach Fakhri; Della Fadhilatunisa
Information Technology Education Journal Vol. 5, No. 1, February (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i1.261

Abstract

Purpose – This study examines how metacognitive reasoning, organizational support, and socioeconomic status shape academic performance through the mediating role of intrinsic motivation in an artificial intelligence (AI) integrated learning environment. Design – A quantitative, cross-sectional design was employed. Data from 373 university students were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate relationships among the constructs. Findings – Metacognitive reasoning and organizational support significantly increased intrinsic motivation, which in turn positively affected academic performance. By contrast, socioeconomic status did not significantly influence intrinsic motivation or academic performance. Research implications – The results underscore the importance of cognitive and contextual supports in fostering student motivation and achievement. The nonsignificant effects of socioeconomic status warrant further investigation; future studies should explore additional individual and environmental factors that may shape academic outcomes in AI-enabled learning settings. Originality –  This research advances an inclusive and effective framework for digital learning in higher education by demonstrating the central role of metacognitive skills and institutional support in designing AI-enhanced strategies that cultivate students intrinsic motivation and academic success.  
Co-Authors Agusyana, Nurrahmah Akbar, Muh. Andika Isma Ayu Hasnining Della Fadhilatunisa Dewi Fatmarani Surianto Diandra, Aristia Anastasya Fadhilatunnisa, Della M. Miftach Fakhri NIRMALA, PUTRI Nirmalasari, Aprilianti Nurhayani nurhayani Nurul Febrianti Rauf, Annajmi Rosidah Ryketeng, Masdar Soeharto Soeharto Zulfikar, Muh Ihsan