Article Per Year (5 Year)
p-Index From 2021 - 2026
3.035
P-Index
This Author published in this journals
All Journal REKAYASA Jurnal Ilmiah Pangabdhi International Journal of Artificial Intelligence Research Resona : Jurnal Ilmiah Pengabdian Masyarakat Halaqa : Islamic Education Journal Jurnal Pendidikan : Riset dan Konseptual ASRO JOURNAL - STTAL Journal of Education Technology Getsempena English Education Journal Langit Biru: Jurnal Ilmiah Aviasi Indonesian Journal of Education Methods Development Jurnal Pemberdayaan Masyarakat Sewagati
Bandono, Adi
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Physics Public Health Social Sciences Transportation Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal of Artificial Intelligence Research

 1 
Harnessing Generative AI for ESP: A Cross-Disciplinary Vocational Education Framework with Predictive Modeling Evidence from Indonesia Pranoto, Dani Chandra Yudho; Rufii, Rufii; Sabariah, Sabariah; Bandono, Adi
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1569

Abstract

This study examines how Generative AI tools, specifically ChatGPT and Gemini, can enhance English for Specific Purposes (ESP) learning and education. Drawing on the UTAUT2 model of technology acceptance and recent discussions on AI-mediated learning, we examine the roles of baseline ability, perceived usefulness, and satisfaction as mediating factors in ESP classrooms. Data were collected from 50 vocational students across five departments using pre- and post-tests, AI usage logs, and Likert-scale surveys. Statistical analyses included descriptive statistics, paired t-tests, ANOVA with Tukey adjustment, correlation, reliability tests, and predictive modeling (OLS and LASSO) in SAS Studio. Results show a mean learning gain of 24.42 points, with Nursing and IT students benefiting most. AI usage hours strongly correlate with post-test scores but not directly with learning gain, suggesting that perceived usefulness and satisfaction (both rated 4.4/5 with ? = 1.00) mediate the outcomes. Baseline competence remains the strongest predictor, highlighting persistent disparities in skill distribution across vocational fields. These findings suggest that the effective integration of Generative AI in ESP requires scaffolding and domain-specific alignment, rather than simple exposure. The study offers a novel framework for AI-supported ESP instruction, providing practical guidance for educators and policymakers in Indonesia and similar contexts.
AI-Assisted Bibliometric Mapping of Global Research on Technology-Based Training for Enhancing School Principals' Managerial Competence in the Digital Transformation Era Sabariah, Sabariah; Rufi'i, Rufi'i; Bandono, Adi; Hakim, Luqmanul; Suharti, Suharti; Chandra, Dani; Novta, Novta; Netty, Netty
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1579

Abstract

Digital transformation demands that school principals possess technology-based managerial competencies to lead innovation, improve organizational effectiveness, and create inclusive learning environments in the dynamic era of global education. This article describes trends, thematic focuses, and global collaborations in technology-based educational leadership research to strengthen principals' managerial competencies in facing the challenges of digital transformation and inclusive education. The research methodology uses an artificial intelligence (AI)-assisted bibliometric approach with quantitative-descriptive analysis, including Scopus data extraction, cleaning, normalization, visualization, and validation of results through NLP and clustering topic modeling. The analysis shows significant publication growth since 2010 with a peak in the 2024–2025 period, driven by the accelerated adoption of educational technology after the COVID-19 pandemic. The rate of publication increase reached 6.63% per year, with an average of 11.74 citations per document. Dominant themes include educational leadership, school principals, instructional leadership, and professional development, while new topics such as digital leadership, gender equality, and policy innovation began to strengthen post-2020. Affiliation mapping shows the dominance of universities from Spain, South Africa, and Israel, followed by an increase in contributions from Asian institutions (Indonesia and Malaysia) since 2016. The most productive author is ARAR KH (8 publications), followed by DOR-HAIM P. and HALLINGER P., who are the main nodes of the global network. Cross-country collaboration has been shown to increase the number of citations and strengthen the research network. The study highlights the shift in principal leadership from traditional models to data-driven digital ones, emphasizing technology integration, global collaboration, ethics, and managerial competencies in facing the challenges of digital-era education.
Co-Authors Abdul Muhid, Abdul ANDRI KURNIAWAN Anisa Dzulkarnain Annam, Mohammad Choirul Anton Nugroho Arman Hakim Nasution Berlian Rahmy Lidiawaty Dani Chandra Yudho Pranoto Dody Hartanto Dzulfikri, Dzulfikri Eko Sulistyono Eni Fariyatul Fahyuni Erma Suryani Erwin Widodo Fadlillah, Muhammad Syamil Fajar Susanto Fatirul, Achmad Noor Hermawan, Romy Ida Rindaningsih, Ida Isabella, Putri Dwi Kukuh, April Kurniati, Fadhika Kusuma, Moch. Farrel Arrizal Luqmanul Hakim Mahia, Fatkulil Aswar Maulifah, Umul Netty Netty Novta, Novta Pramundito, Rahmatika Jagad Priambodo, Tegar Ganang Satrio Prihatina, Ocha Putri Perdana Purwaningsih, Elis Dwi Rahman, Roslan Ab Raulia Riski Retno Tri Hariastuti, Retno Tri Rufi'i Rufi'i, Rufi'i Rufii, Rufii Rusmawati, Retno Danu Sabariah Sabariah Sabariah Saptono, Dwi SITI MARIYAH Sufairo, Nurus Suharti Suharyo, Okol Sri Sukmo Hadi Nugroho Syahlan, Zainal Tafuzi, Novta Ittaqy Tardjo, Netty Taurusta, Cindy Wati, Sundari Widodo Widodo Winarni Winarni YULIANA RAHMAWATI, YULIANA