Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the…

We constructed a new taxonomy for inferential thinking, a construct called Integrative Inferential Reasoning (IIR). IIR extends Pearson and Johnson's (1978) framework of "text-implicit" and "script-implicit" question-answer relations, and integrates several other prominent literacy theories to form a unified inferential…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

In a highly systematic literature, researchers have investigated the manner in which people make feature inferences in paradigms involving uncertain categorizations (e.g., Griffiths, Hayes, & Newell, 2012; Murphy & Ross, 1994, 2007, 2010a). Although researchers have discussed the implications of the results for models of categorization and…

Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…

Prior reviews of evidence for the impact of formative assessment on student achievement suggest widely different estimates of formative assessment's effectiveness, ranging from 0.40 and 0.70 standard deviations in one review. The purpose of this study is to describe variability in the effectiveness of formative assessment for promoting student…

Cognitive diagnostic assessment (CDA) is a new theoretical framework for psychological and educational testing that is designed to provide detailed information about examinees' strengths and weaknesses in specific knowledge structures and processing skills. During the last three decades, more than a dozen psychometric models have been developed…

This research examined differences in causal attributions and an exam score in a developmental mathematics course based on student classification: traditional, minimally nontraditional, moderately nontraditional, and highly nontraditional as well as grade and gender among nontraditional students. Statistical analysis revealed significant…

Organization is believed to be related to understanding and memory. Whether this belief was applicable in biochemical education was examined about two years after students had experienced biochemistry classes in their first year. The ability of organizing information in biochemistry was judged from the number of correct links of 886 biochemical…

Education names and classifies individuals. This result seems unavoidable. For example, some students will graduate, and some will not. Those who graduate will be "graduates"; those who do not graduate will be labeled otherwise. The only way to avoid such labeling is to fail to make distinctions of any kind. Yet education is rife with…