Topic: Preliminary Work for a Dynamic Programming Concept InventoryConcept inventories are standardized assessments that evaluate student understanding of key concepts within academic disciplines. While prevalent across STEM fields, their development lags for advanced computer science topics like dynamic programming, an…

Abstract: Machine learning models often operate in environments where training data is incomplete, noisy, or biased, such as financial risk assessments, medical diagnostics, or predictive policing, leading to unreliable and inconsistent predictions. In many cases, simply cleaning the data is not feasible, as the ground truth is…