Artificial Intelligence Revolution in Indonesian Islamic Higher Education: How It Affects Students’ Self-Efficacy, Creativity, and Learning Performance

Suci Megawati, Universitas Negeri Surabaya, Surabaya, Indonesia
Muhammad Alfarizi, Bina Nusantara University, Jakarta, Indonesia
Jauhar Wahyuni, Universitas Negeri Surabaya, Surabaya, Indonesia

https://doi.org/10.9743/JEO.2025.22.4.11

Abstract

Higher education plays a crucial role in society through research and innovation, but research indicates there is resistance to adopting new technologies. The presence of artificial intelligence (AI) offers an innovative approach to learning, information retrieval, and decision-making. AI has garnered global attention for its ability to generate output based on external stimuli. Islamic Higher Education Institutions (IHEIs) also adopt AI for personalized learning and operational efficiency. While international research focuses on AI trends, there is a need for further research on the capacity of AI in education. Literature has yet to explore the role of AI in, and its relationship to, student creativity and learning performance, particularly in IHEIs. This study aimed to analyze AI components at IHEIs and its implications for student creativity and learning performance. The study developed a theoretical model built on the resource-based view theory and tested it through a survey involving 373 faculty members from IHEIs. The data analysis used Partial Least Squares-Structural Equation Modeling (PLS-SEM). Results indicate that the resources and skills possessed by IHEIs and their faculty can predict AI capability. The impact of AI capability on student creativity and self-efficacy is significant and a factor in enhancing learning performance. However, there is no significant impact on student learning performance, highlighting the need for IHEIs to integrate AI more effectively. These findings encourage IHEIs to develop holistic strategies to maximize AI potential for student needs and higher education management efficiency.

Keywords: artificial intelligence, capability, IHEIs, performance