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An AI Driven Assessment Framework for Educational Equity in STEM Education

2026-07-29

Abstract excerpt

<title>Abstract</title> <p>Artificial intelligence in STEM assessment routinely prioritizes computational efficiency over equity. This oversight silently codes historical demographic biases into modern evaluation tools. The objective of this study is to reengineer automated assessment, shifting its operational mandate from uncritical algorithmic optimization to active bias mitigation. Methodologically, the resear...

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Literature Corpus work: 9695c9b7-3300-56d8-ad41-19f1dbe57bb9
DOI: 10.21203/rs.3.rs-10274739/v1

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