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Case Study 4.7

Ethical AI Adoption in K–12 Teachers: Human Factors And Usability — A propensity score matching

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~ 22–33 mins
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Education DevSecOps Logistics
Abstract

This case study investigates “Ethical AI Adoption in K–12 Teachers: Human Factors And Usability — A propensity score matching” using a benchmarking and maturity modeling. Through a economic lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Ethical AI Adoption in K–12 Teachers: Human Factors And Usability — A propensity score matching

ABSTRACT
Ethical AI Adoption in K–12 Teachers: Human Factors And Usability — A propensity score matching is unpacked across themes: ethics, costs, benefits, and interoperability. Limitations and future research paths are noted.
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