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AI-Driven Decision-Making Applications in Higher Education

AI-Driven Decision-Making Applications in Higher Education
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Author(s): Retno Lestari (Universitas Brawijaya, Indonesia), Heni Dwi Windarwati (Universitas Brawijaya, Indonesia)and Ridhoyanti Hidayah (Universitas Brawijaya, Indonesia)
Copyright: 2024
Pages: 23
Source title: Using Traditional Design Methods to Enhance AI-Driven Decision Making
Source Author(s)/Editor(s): Tien V. T. Nguyen (Industrial University of Ho Chi Minh City, Vietnam)and Nhut T. M. Vo (National Kaohsiung University of Science and Technology, Taiwan)
DOI: 10.4018/979-8-3693-0639-0.ch011

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Abstract

Artificial intelligence (AI) systems have become ubiquitous daily, yet many are unaware of their presence. The advancements in artificial intelligence have contributed significantly to higher education by changing how we approach problem-solving. The transformative potential of AI technology in education and training cannot be overstated. Currently, educators are utilizing AI systems to identify individual learning needs and experiences, make data-driven decisions and allocate resources more effectively. This chapter aims to equip readers with a comprehensive knowledge of the application of AI-powered decision-making in higher education. With the valuable insights and resources provided, readers can confidently integrate and leverage the potential of AI in their decision-making processes. To fully realize the potential of AI, educators, and leaders must have a fundamental understanding of its capabilities and ethical considerations. This knowledge will enable them to engage confidently and critically with AI technology and maximize its benefits.

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