Edge Computing for K–12 Teachers: Data Quality And Bias | Post-Pandemic Lessons

Research Proposal 4.3

Edge Computing for K–12 Teachers: Data Quality And Bias | Post-Pandemic Lessons

Pages

Harvard

Style

~ 30–42 mins

Reading Time

Blockchain Open Banking CV

Abstract

This research proposal investigates “Edge Computing for K–12 Teachers: Data Quality And Bias | Post-Pandemic Lessons” using a systematic literature review. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Edge Computing for K–12 Teachers: Data Quality And Bias | Post-Pandemic Lessons

ABSTRACT

Edge Computing for K–12 Teachers: Data Quality And Bias | Post-Pandemic Lessons is unpacked across themes: interoperability, scalability, risks, and usability. Limitations and future research paths are noted.

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