<p class="jove_content">The research aims to provide a new approach for teaching assessment calibration and educational equity in intelligent education. Experimental results indicate that the proposed model significantly outperforms comparative models, effectively addressing issues of poor multi-source data integration and fairness bias in existing calibration methods.</p>

fairedunet-algorithm-design-teaching-assessment-calibration

FairEduNet Algorithm Design and Teaching Assessment Calibration Considering Equity in Higher Education

Current teaching assessment calibration methods face challenges such as low integration efficiency when processing multi-source heterogeneous assessment ...

Institution - The Open University of Shaanxi

Articles Published in JoVE