Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret

The integration of artificial intelligence (AI) in education has gained global attention, yet significant gaps exist in the understanding of how AI adoption varies across academic disciplines and geographical regions. In Indonesia, particularly in office administration education, limited empirical evidence exists regarding the intersection of AI adoption patterns, user preferences, and educational outcomes. This study examines AI tool adoption among office administration students at Universitas Sebelas Maret (UNS), Indonesia, via an integrated framework that combines the technology acceptance model (TAM) and the information system (IS) success model. Structural equation modeling (SEM) analysis of data from 61 undergraduate students revealed that ChatGPT was the predominant AI tool among students. The analysis identified key relationships between information quality, system quality, and user acceptance factors. The findings support experiential learning theory principles and demonstrate that successful AI integration in education depends on user-friendly interfaces, quality content delivery, and robust support systems. These insights enhance our understanding of AI tool adoption in Indonesian higher education and provide practical strategies for effective AI integration in academic curricula.

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Publication Details

Journal
Research and Practice in Technology Enhanced Learning
Published
2025-06-03
DOI
https://doi.org/10.58459/rptel.2026.21014
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret

Anton Subarno, Patni Ninghardjanti‬, Muhammad Choerul Umam, Winar
Research and Practice in Technology Enhanced Learning
Technology-Enhanced Education Studies
article

Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret

Anton Subarno, Patni Ninghardjanti‬, Muhammad Choerul Umam, Winar
article en

Abstract

The integration of artificial intelligence (AI) in education has gained global attention, yet significant gaps exist in the understanding of how AI adoption varies across academic disciplines and geographical regions. In Indonesia, particularly in office administration education, limited empirical evidence exists regarding the intersection of AI adoption patterns, user preferences, and educational outcomes. This study examines AI tool adoption among office administration students at Universitas Sebelas Maret (UNS), Indonesia, via an integrated framework that combines the technology acceptance model (TAM) and the information system (IS) success model. Structural equation modeling (SEM) analysis of data from 61 undergraduate students revealed that ChatGPT was the predominant AI tool among students. The analysis identified key relationships between information quality, system quality, and user acceptance factors. The findings support experiential learning theory principles and demonstrate that successful AI integration in education depends on user-friendly interfaces, quality content delivery, and robust support systems. These insights enhance our understanding of AI tool adoption in Indonesian higher education and provide practical strategies for effective AI integration in academic curricula.

Research and Practice in Technology Enhanced LearningVol. 21
Sebelas Maret University (ID)
Universitas Sebelas Maret
Openalex Percentile: Top 87%
Technology-Enhanced Education Studies
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Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret — Anton Subarno, Patni Ninghardjanti‬, et al. · Research and Practice in Technology Enhanced Learning (2025) | TGRS Research Map | TGRS