Educational Big Data and Global Educational Equity: Opportunities, Challenges, and Strategies

Abstract

This paper explores the role of educational big data in advancing global educational equity, its associated challenges, and corresponding countermeasures. While educational big data can facilitate the precise identification of educational disparities and optimize resource allocation, it also confronts issues such as data bias, privacy risks, and technical limitations. Particularly in developing countries, data collection and application face significant obstacles. The article analyzes practical dilemmas in leveraging educational big data to promote equity, including group segmentation and precision identification, disproportionality in special education populations, and the construction of comprehensive educational databases. It proposes strategic recommendations such as integrating educational equity into top-level design, enriching data dimensions, establishing a scientific evaluation paradigm for decision-making, strengthening data governance and security safeguards, and promoting balanced global development of educational data capabilities. These suggestions aim to provide actionable references for achieving educational equity.