While artificial intelligence has long supported higher education research initiatives, it’s now expanding into areas that touch student data. Examples include face recognition in surveillance cameras ...
Data-driven decisions are increasingly recognized as a critical component of K-12 education, enhancing personalized learning, improving assessment and feedback, optimizing resource allocation and ...
Higher education has a data problem. It’s not new: Institutions have been grappling with fragmented data for a long time. Especially when it comes to student information, sprawl is the norm. Data is ...
K–12 districts are flush with data. Throughout a given school year, educators and district employees work with attendance records, assessment scores, course grades, behavior logs and more. But it is ...
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