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Conrad Borchers – International Educational Data Mining Society, 2025
Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness. However, its skewed distribution--especially when…
Descriptors: Algorithms, Bias, Statistics, Simulation
Finch, Holmes; Huynh, Huynh – 2000
One set of approaches to the problem of clustering with dichotomous data in cluster analysis (CA) was studied. The techniques developed for clustering with binary data involve calculating distances between observations based on the variables and then applying one of the standard CA algorithms to these distances. One of the groups of distances that…
Descriptors: Algorithms, Cluster Analysis, Monte Carlo Methods, Responses
Performance of Item Exposure Control Methods in Computerized Adaptive Testing: Further Explorations.
Chang, Shun-Wen; Ansley, Timothy N.; Lin, Sieh-Hwa – 2000
This study examined the effectiveness of the Sympson and Hetter conditional procedure (SHC), a modification of the Sympson and Hetter (1985) algorithm, in controlling the exposure rates of items in a computerized adaptive testing (CAT) environment. The properties of the procedure were compared with those of the Davey and Parshall (1995) and the…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Item Banks

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