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Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
The ability to generate synthetic data has a variety of use cases across different domains. In education research, there is a growing …
Herkulaas Combrink
,
Vukosi Marivate
,
Benjamin Rosman
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Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally …
Herkulaas Combrink
,
Vukosi Marivate
,
Benjamin Rosman
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A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education
Understanding which student support strategies mitigate dropout and improve student retention is an important part of modern higher …
Herkulaas Combrink
,
Vukosi Marivate
,
Benjamin Rosman
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Language Performance at High School and Success in First Year Computer Science
We describe the first part of a study investigating the usefulness of high school language results as a predictor of success in first …
Sarah Rauchas
,
Benjamin Rosman
,
George Konidaris
,
Ian Sanders
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