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ORCID

Okan Bulut: https://orcid.org/0000-0001-5853-1267

Yi Zheng: https://orcid.org/0000-0003-2671-0820

Abstract

This editorial introduces CEJEME's Special Issue on Big Data Sources in Educational Measurement. As large-scale assessments, digital learning environments, and institutional systems generate increasingly complex data, they offer new opportunities for advancing research on student learning, assessment quality, and educational equity. This special issue presents three descriptive papers that introduce publicly shareable big data resources relevant to educational measurement, assessment, and evaluation. The three articles introduce a large-scale item response data repository, a longitudinal international assessment database for studying student growth, and a digital learning infrastructure supporting large-scale educational data. Together, this special issue aims to serve as both a practical reference for researchers seeking data and a catalyst for broader cultural change in the field of educational measurement, assessment, and evaluation toward greater openness, transparency, and equity in the use of large-scale educational data.

DOI

https://doi.org/10.59863/QJYE2767

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