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What are the benefits and challenges of using artificial intelligence to promote student success, improve retention, streamline enrollment, and better manage resources in higher education? This article looks at AI applications, promise and perils, and ethical considerations, including the black box, invisible infrastructure, authority shifts, narrowly defined goals, data-dependent assessment, and the possibly divergent interests between students and institutions.
Study at a glance
- Question: What are the benefits, perils, and ethical challenges of using artificial intelligence in higher education?
- Setting and data: Higher education; no specific data, locations, or sample sizes stated in the abstract.
- Method: Conceptual and policy analysis
Why it matters
Higher education institutions face both benefits and challenges when adopting artificial intelligence to manage resources and support students.
Key findings
- Artificial intelligence offers potential benefits for promoting student success, improving student retention, streamlining enrollment, and managing resources in higher education.
- Using artificial intelligence in higher education presents challenges related to opaque systems, invisible infrastructure, authority shifts, and narrowly defined institutional goals.
- Key ethical questions include data-dependent assessment and potential conflicts between the interests of students and the interests of institutions.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
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