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Report 4.3

EdTech and Data Quality And Bias among Remote Software Engineers — A mixed-methods case study

29
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APA
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~ 30–42 mins
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FinTech Metaverse InsurTech
Abstract

This report investigates “EdTech and Data Quality And Bias among Remote Software Engineers — A mixed-methods case study” using a mixed-methods case study. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

EdTech and Data Quality And Bias among Remote Software Engineers — A mixed-methods case study

ABSTRACT
EdTech and Data Quality And Bias among Remote Software Engineers — A mixed-methods case study is unpacked across themes: benefits, change enablement, KPIs, and usability. Limitations and future research paths are noted.
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