AI RESEARCH
Quantifying Student Success with Generative AI: A Monte Carlo Simulation Informed by Systematic Review
arXiv CS.AI
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ArXi:2507.01062v3 Announce Type: replace-cross The rapid development of generative artificial intelligence (GenAI) tools such as ChatGPT has intensified interest in their role in higher education, particularly in how students perceive and use them and how these perceptions may relate to educational outcomes. This study employs a hybrid methodological approach that combines a PRISMA-guided systematic literature review with simulation-based modeling to examine student perceptions of GenAI in higher education.