Artifcial intelligence (AI) is transforming decision-making processes in higher education, providing toolsfor academic planning, student support, and institutional management. As Indonesian universities undergo digitaltransformation, AI adoption offers opportunities to enhance efciency but also presents challenges related to infrastructure,digital literacy, and ethical concerns. This study explores AI adoption trends among university students in Indonesia,focusing on how AI is integrated into academic decision-making and the factors influencing its adoption. Using a mixedmethods approach, the research combines quantitative analysis of AI adoption patterns with qualitative insights frompolicy reports and academic literature. The study examines the role of education level and feld of study in AI adoption,as well as students’ perceptions of AI’s usefulness in decision-making. Additionally, the study identifes key barriers toAI adoption, including limited access to AI infrastructure, gaps in AI literacy among students and faculty, and concernsabout data privacy and algorithmic bias. By providing insights into AI-driven higher education management, the studyoffers policy recommendations to enhance AI literacy, invest in digital infrastructure, and establish ethical guidelines forresponsible AI implementation. These fndings contribute to the growing discourse on AI in education and support effortsto optimize AI-driven decision-making in Indonesian universities.
| Mualliflar | Sattikulov Mukhammadkhon, Kungratov, Budhi Pamungkas Gautama |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2025-05-30 |
| Jild | 1 |
| Son | 5 |
| Betlar | 65-71 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.17443613 |
DOI: 10.5281/zenodo.17443613 · Maqolaning asl sahifasi
Artifcial intelligence, decision-making, higher education, Indonesia, AI adoption, university management.
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