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Coursework 4.5

EdTech for University Students: Data Quality And Bias | 2022–2026 Trends

10
Pages
Harvard
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~ 10–17 mins
Reading Time
Green Finance Logistics RPA
Abstract

This coursework investigates “EdTech for University Students: Data Quality And Bias | 2022–2026 Trends” using a qualitative grounded theory. Through a socio-technical lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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EdTech for University Students: Data Quality And Bias | 2022–2026 Trends

ABSTRACT
EdTech for University Students: Data Quality And Bias | 2022–2026 Trends is unpacked across themes: costs, equity, interoperability, and benefits. Limitations and future research paths are noted.
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