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Found 6 papers, 3 papers with code
A Research Framework for Understanding Education-Occupation Alignment with NLP Techniques
Understanding the gaps between job requirements and university curricula is crucial for improving student success and institutional effectiveness in higher education.
A national longitudinal dataset of skills taught in U.S. higher education curricula
Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce.
Temporal and Between-Group Variability in College Dropout Prediction
Large-scale administrative data is a common input in early warning systems for college dropout in higher education.
Fairness Hub Technical Briefs: AUC Gap
To measure bias, we encourage teams to consider using AUC Gap: the absolute difference between the highest and lowest test AUC for subgroups (e. g., gender, race, SES, prior knowledge).
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
We also find that stacked ensembling provides no additional benefits to overall performance or fairness compared to either a local model or the zero-shot transfer procedure we tested.
A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning
The commonly used parameters in a conventional method are however inapplicable in high-energy-consuming industrial loads.
