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Exploration of the Stacking Ensemble Machine Learning Algorithm for Cheating Detection in Large-Scale Assessment
6 references·1 citing·22 second hop
Exploration of the Stacking Ensemble Machine Learning Algorithm for Cheating Detection in Large-Scale Assessment (2022)Exploration of the Stacking Ensemble Mach…Detecting Examinees With Item Preknowledge in Large-Scale Testing Using Extreme Gradient Boosting (XGBoost) (2019)Detecting Examinees With Item…Using Stacking Approaches for Machine Learning Models (2018)Using Stacking Approaches for…Handbook of Quantitative Methods for Detecting Cheating on Tests (2016)Handbook of Quantitative Meth…Methodology Review: Evaluating Person Fit (2001)Methodology Review: Evaluatin…Appropriateness measurement with polychotomous item response models and standardized indices (1985)Appropriateness measurement w…Deviant Response Patterns and Comparability of Test Scores (1982)Deviant Response Patterns and…An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests (2023)An Ensemble Learning Approach…CONTINUOUS INSPECTION SCHEMES (1954)Probabilistic Models for Some Intelligence and Attainment Tests (1961)Statistical Theories of Mental Test Scores (1969)Mokken Scale Analysis: Between the Guttman Scale and Parametric Item Response Theory (2003)The Attribute Hierarchy Method for Cognitive Assessment: A Variation on Tatsuoka's Rule‐Space Approach (2004)Careless Responding to Reverse-Worded Items: Implications for Confirmatory Factor Analysis (2006)A Theory and Procedure of Scale Analysis (1971)Explaining Cross-Cultural Differences (1987)Detection of Aberrant Item Score Patterns: A Review of Recent Developments (1995)Applications of Item Response Theory To Practical Testing Problems (2012)PerFit : An R Package for Person-Fit Analysis in IRT (2016)Estimating Item Parameters and Latent Ability when Responses are Scored in Two or More Nominal Categories (1972)Measuring mindfulness? An Item Response Theory analysis of the Mindful Attention Awareness Scale (2010)A Lognormal Model for Response Times on Test Items (2006)A Hierarchical Framework for Modeling Speed and Accuracy on Test Items (2007)The Detection of Cheating on E-Exams in Higher Education—The Performance of Several Old and Some New Indicators (2020)Machine learning based approach to exam cheating detection (2021)Deep learning in insurance: Accuracy and model interpretability using TabNet (2023)Machine-Learning Models for Sales Time Series Forecasting (2019)Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales (2022)Financial Fraud Detection of Listed Companies in China: A Machine Learning Approach (2022)Person‐Fit Statistics for Joint Models for Accuracy and Speed (2017)
this work references cited by second hop

References

  • 1985Appropriateness measurement with polychotomous item response models and standardized indices458 cited
  • 2001Methodology Review: Evaluating Person Fit419 cited
  • 2018Using Stacking Approaches for Machine Learning Models388 cited
  • 2016Handbook of Quantitative Methods for Detecting Cheating on Tests120 cited
  • 1982Deviant Response Patterns and Comparability of Test Scores107 cited
  • 2019Detecting Examinees With Item Preknowledge in Large-Scale Testing Using Extreme Gradient Boosting (XGBoost)65 cited

Cited by

  • 2023An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests17 cited

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