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Cohausz, Lea; Tschalzev, Andrej; Bartelt, Christian; Stuckenschmidt, Heiner – International Educational Data Mining Society, 2023
Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…
Descriptors: Information Retrieval, Data Processing, Pattern Recognition, Information Technology
Whitney, Carol; Marton, Yuval – Online Submission, 2013
The SERIOL model of orthographic analysis proposed mechanisms for converting visual input into a serial encoding of letter order, which involved hemisphere-specific processing at the retinotopic level. As a test of SERIOL predictions, we conducted a consonant trigram-identification experiment, where the trigrams were briefly presented at various…
Descriptors: Visual Stimuli, Word Recognition, Models, Orthographic Symbols