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Essay 4.6

Quantum Computing Adoption in K–12 Teachers: Data Quality And Bias — Evidence from Southeast Asia

8
Pages
IEEE
Style
~ 8–12 mins
Reading Time
UX Food Systems DevSecOps
Abstract

This essay investigates “Quantum Computing Adoption in K–12 Teachers: Data Quality And Bias — Evidence from Southeast Asia” using a panel regression with fixed effects. Through a behavioral lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Quantum Computing Adoption in K–12 Teachers: Data Quality And Bias — Evidence from Southeast Asia

ABSTRACT
Quantum Computing Adoption in K–12 Teachers: Data Quality And Bias — Evidence from Southeast Asia is unpacked across themes: KPIs, change enablement, security, and costs. Limitations and future research paths are noted.
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