Data Quality And Bias in Cloud Computing for K–12 Teachers: A mixed-methods case study

Coursework 4.9

Data Quality And Bias in Cloud Computing for K–12 Teachers: A mixed-methods case study

Pages

MLA

Style

~ 42–58 mins

Reading Time

Cloud MLOps Sustainability

Abstract

This coursework investigates “Data Quality And Bias in Cloud Computing for K–12 Teachers: A mixed-methods case study” using a survey-based structural equation modeling. Through a institutional lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Download PDF Order Similar Paper Save

Data Quality And Bias in Cloud Computing for K–12 Teachers: A mixed-methods case study

ABSTRACT

Data Quality And Bias in Cloud Computing for K–12 Teachers: A mixed-methods case study is unpacked across themes: governance, change enablement, costs, and benefits. Limitations and future research paths are noted.

Open full preview

View Full Paper