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Should College Dropout Prediction Models Include Protected Attributes?

https://doi.org/10.1145/3430895.3460139
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/aehe.3204openalex-snapshot
Table of Contents
inferredcites →https://doi.org/10.1007/978-3-030-52237-7_11openalex-snapshot
Student Dropout Prediction
inferredcites →https://doi.org/10.1007/s11162-019-09546-yopenalex-snapshot
Predicting University Students’ Academic Success and Major Using Random Forests
inferredcites →https://doi.org/10.1016/b978-0-7506-7222-1.50005-2openalex-snapshot
Social Capital in the Creation of Human Capital
inferredcites →https://doi.org/10.1080/13562517.2019.1689388openalex-snapshot
The datafication of higher education: discussing the promises and problems
inferredcites →https://doi.org/10.1086/228943openalex-snapshot
Social Capital in the Creation of Human Capital
inferredcites →https://doi.org/10.1145/2090236.2090255openalex-snapshot
Fairness through awareness
inferredcites →https://doi.org/10.1145/2330601.2330666openalex-snapshot
Course signals at Purdue
inferredcites →https://doi.org/10.1145/3027385.3027405openalex-snapshot
From prediction to impact
inferredcites →https://doi.org/10.1145/3194770.3194776openalex-snapshot
Fairness definitions explained
inferredcites →https://doi.org/10.1145/3293881.3295783openalex-snapshot
Predicting academic performance: a systematic literature review
inferredcites →https://doi.org/10.1145/3303772.3303779openalex-snapshot
Analysing discussion forum data
inferredcites →https://doi.org/10.1145/3303772.3303791openalex-snapshot
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis
inferredcites →https://doi.org/10.1145/3303772.3303838openalex-snapshot
Fairer but Not Fair Enough On the Equitability of Knowledge Tracing
inferredcites →https://doi.org/10.1145/3386527.3406755openalex-snapshot
Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success
inferredcites →https://doi.org/10.1145/3430895.3460160openalex-snapshot
Learning Analytics Dashboard Research Has Neglected Diversity, Equity and Inclusion
inferredcites →https://doi.org/10.1257/pandp.20181018openalex-snapshot
Algorithmic Fairness
inferredcites →https://doi.org/10.18608/jla.2014.11.3openalex-snapshot
Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative
inferredcites →https://doi.org/10.18653/v1/w19-4401openalex-snapshot
The many dimensions of algorithmic fairness in educational applications
inferredcites →https://doi.org/10.3102/00346543048001049openalex-snapshot
Studies of College Attrition: 1950-1975
inferredcites →https://doi.org/10.5281/zenodo.3594771openalex-snapshot
Early Detection of Students at Risk - Predicting Student Dropouts Using Administrative Student Data from German Universities and Machine Learning Methods
inferredcites →https://doi.org/10.5281/zenodo.4143612openalex-snapshot
Who's Learning? Using Demographics in EDM Research

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Fairness of MOOC Completion Predictions Across Demographics and Contextual Variables
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Predicting University Dropout Rates Using Machine Learning: UniCt Case
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On the Fairness of Ensemble Learning Methods in Student Dropout Prediction
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Predictive Dropout Research Through a Data-Based Value-Creation Taxonomy: Patterns and Blind Spots
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Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention
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An Explainable Machine Learning Approach for Student Dropout Prediction
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Fairness for machine learning software in education: A systematic mapping study
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Nudge power in higher education: altering choice defaults to reduce student failure and associated debt
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Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles
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Systematic Literature Review on Explainable Learning Analytics and Educational Data Mining
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A Portable, Generalizable Machine Learning Framework for Long-Term Student Dropout Prediction
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Nondiscriminating Dropout Prediction beyond Algorithmic Fairness: Ensuring Coverage in Preprocessing Pipelines
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ISIDE: Proactively Assist University Students at Risk of Dropout
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Mitigating Representation Bias in Data Transformations: A Constraint-based Optimization Approach
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Combining Demographic Tabular Data with BERT Outputs for Multilabel Text Classification in Higher Education Survey Data
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Integrating categorical and continuous data in a cluster-then-classify methodology for predicting undergraduate student success
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Fairness in Predictive Learning Analytics: A Case Study in Online STEM Education
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Student Dropout Forecasting and Feature Analysis through Machine Learning Algorithms
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Beyond Accuracy: A Multi-Dimensional Evaluation of AI Models Using the Portuguese Secondary School Math Performance Dataset
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Risk-Stratified CQI in Engineering Education: Six-Cohort Validation of a Registry-Only Early-Warning Rule
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Predictive Learning Analytics Utilizing Formative Assessments and Recommender System for Study Success
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Early Success Prediction for Online Learners: A Semisupervised and Self-Training Approach
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Leveraging Class Balancing Techniques to Alleviate Algorithmic Bias for Predictive Tasks in Education
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Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why
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When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models
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Adaptive Quantum‐Inspired Optimisation of Neural Networks for Imbalanced Student Performance Prediction
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Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education
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Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
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Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors
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Temporal and Between-Group Variability in College Dropout Prediction
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Algorithmic fairness analyses of supervised machine learning in education
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