The assessment of individual students is not only crucial in the school setting but also at the core of educational research. Although classical test theory focuses on maximizing insights from student responses, the Bayesian perspective incorporates the assessor's prior belief, thereby enriching assessment with knowledge gained from previous interactions with the student or with similar students. We propose and illustrate a formal Bayesian approach that not only allows to form a stronger belief about a student's competency but also offers a more accurate assessment than classical test theory.
View Article and Find Full Text PDFSerpentine-like syndrome, characterized by the combination of intrathoracic stomach, a notably short esophagus anomaly, splenic abnormalities, and cervical spine malformations, has been associated with a high mortality rate since its identification in 2008. This report presents the case of a remarkable patient who recently celebrated her fifth birthday, marking her as the oldest documented individual with this syndrome to date. Highlighting the significance of comprehensive evaluations for concurrent malformations, the report discusses potential treatment modalities and challenges inherent in managing patients with this intricate syndrome.
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