Managing AI Adoption in Islamic Higher Education: A Diffusion of Innovation Perspective
Abstract
This research analyzes AI adoption and its managerial implications among Islamic higher education undergraduates through the lens of the Diffusion of Innovation (DOI) framework. This study utilized a qualitative case study approach, involving 50 participants who provided written interviews and reflective responses. These datasets were analyzed thematically to explore adoption trends, perceived challenges, and ethical dimensions. The findings show that students adopt AI primarily for efficiency, task structuring, and personalized learning support, while peer influence and trialability accelerate adoption. However, concerns regarding academic integrity, information accuracy, and digital literacy disparities persist as barriers. From a management perspective, the study reveals the emerging need for institutional regulation, ethical-digital leadership, and Islamic value-based guidelines to manage the use of AI in classrooms. This study contributes to Islamic educational management by proposing a value-oriented model of AI governance grounded in amanah (trustworthiness), sidq (truthfulness), and adab (ethical conduct), highlighting how Islamic higher education institutions can strategically regulate AI to ensure responsible and ethical learning practices.
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DOI: http://dx.doi.org/10.21043/quality.v14i1.33724
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