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Case Study 4.8

Artificial Intelligence for University Students: Scaling And Replication | 2021–2029 Trends

40
Pages
IEEE
Style
~ 42–58 mins
Reading Time
FinTech CV Tourism
Abstract

This case study investigates “Artificial Intelligence for University Students: Scaling And Replication | 2021–2029 Trends” using a Delphi study. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Artificial Intelligence for University Students: Scaling And Replication | 2021–2029 Trends

ABSTRACT
Artificial Intelligence for University Students: Scaling And Replication | 2021–2029 Trends is unpacked across themes: usability, governance, change enablement, and costs. Limitations and future research paths are noted.
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