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pro vyhledávání: '"Smith, Bevan I."'
Autor:
Smith, Bevan I.
The paper focuses on identifying the causes of student performance to provide personalized recommendations for improving pass rates. We introduce the need to move beyond predictive models and instead identify causal relationships. We propose using ca
Externí odkaz:
http://arxiv.org/abs/2309.13066
Autor:
Smith, Bevan I.
Counterfactual explanations (CEs) are methods for generating an alternative scenario that produces a different desirable outcome. For example, if a student is predicted to fail a course, then counterfactual explanations can provide the student with a
Externí odkaz:
http://arxiv.org/abs/2301.02499
Autor:
Smith, Bevan I., Chimedza, Charles
Measuring treatment effects in observational studies is challenging because of confounding bias. Confounding occurs when a variable affects both the treatment and the outcome. Traditional methods such as propensity score matching estimate treatment e
Externí odkaz:
http://arxiv.org/abs/2112.12083
Publikováno v:
Mathematical & Computational Applications; Apr2023, Vol. 28 Issue 2, p32, 18p
Akademický článek
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Publikováno v:
International Journal of Artificial Intelligence in Education (Springer Science & Business Media B.V.); Oct2020, Vol. 30 Issue 3, p431-458, 28p