Artificial Intelligence in the Educational Infrastructure of Smart Cities
Keywords:
Smart Cities, Artificial Intelligence, Educational Infrastructure, Digital Divide, AI Ethics in EducationAbstract
Smart cities increasingly integrate educational infrastructure into their technological ecosystems, and artificial intelligence sits at the center of that shift. This paper reviews recent research on AI-enabled educational infrastructure within smart city frameworks, drawing on evidence from adaptive learning platforms, Internet of Things-enabled classrooms, and citywide data governance systems. Three patterns recur across the literature. First, AI-driven personalization produces measurable gains in engagement and performance, with reported improvements ranging from moderate to substantial depending on the depth of implementation. Second, these same technologies risk widening the digital divide when infrastructure, teacher training, and policy support fail to keep pace with adoption, particularly in rural and under-resourced regions. Third, data privacy and algorithmic accountability remain unresolved concerns that shape how much trust educators and communities place in these systems. The paper argues that educational infrastructure in smart cities cannot be judged on technical performance alone; equity and governance determine whether AI narrows or widens the gaps that already exist. Implications for policymakers, school leaders, and urban planners are discussed.
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Copyright (c) 2026 Andrew Ghaly (Author)
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