Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…

We examined the longitudinal contribution of awareness of inflections and derivations to reading comprehension in Arabic, a morphologically rich language, among 734 second graders. Morphological awareness, phonological awareness, word decoding and reading comprehension tasks were delivered at the beginning and at the end of the school year.…

Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…

This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…

This study examined whether thinking style mediated relationships between belief in conspiracy and schizotypy facets. A UK-based sample of 421 respondents completed the Generic Conspiracist Beliefs Scale (GCBS), Oxford-Liverpool Inventory of Feelings and Experiences Short (O-Life), and measures indexing preferential thinking style (proneness to…

Epistemic beliefs -- one's beliefs about the nature of knowledge -- have been recognized as important predictors of learning outcomes. This study focuses on the role of epistemic beliefs in predicting citizen engagement with science and technology. In accordance with theories of learning and domain knowledge acquisition, the findings highlight the…

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…

Studies on physics identity have shown that it is one of the main factors that can predict a person's persistence in the field; therefore, studying physics identity is critical to increase diversity within the field of physics and to understand what changes can allow more women and minorities to identify with the field. In this study, we…

Relying on data collected from a college social fraternity (n = 2,678) represented at 76 institutions, the study utilized hierarchical linear modeling to explore if collective fraternity chapter traditional masculine norm climates predict significant portions of the variance of members' endorsement of social dominance hazing. The findings indicate…

Although several studies have investigated the roles of teaching practices during the learning process on students, the role of school learned helplessness (LH) and mastery orientation (MO) has not been deeply examined. The present study aimed to verify the dynamics between academic achievement and the perception of the students of their teacher's…

In this study, we examined monitoring accuracy during in class-exams for Emirati, American and Cypriot college students. In experiment 1, 120 students made local, confidence-ratings for each multiple-choice question in a psychology exam and also estimated their performance at the end of the exam. In experiment 2, to investigate the effect of…

Despite the importance of identifying individuals with reading disabilities, existing operational definitions of reading disability do not result in reliable identification. A large part of the problem arises from measurement error when a cut-point is imposed on a continuous distribution, especially for low base-rate conditions. One way to reduce…

The presence of a human figure in a scene appears to change how people describe it. About 20% of participants take the human figure's viewpoint (Tversky and Hard in Cognition 110:124-129, 2009. http://doi.org/10.1016/j.cognition.2008.10.008). Five exploratory studies compare descriptions of a scene with no person to descriptions of a scene with a…

Background: By defining what is "normal," appropriate, expected, and unacceptable, social norms shape human behavior. However, the individual-level mechanisms through which social norms impact population-level trends in health-relevant behaviors are not well understood. Aims: To test the ability of social norms mechanisms to predict…

Accurately predicting which students are best suited for graduate programs is beneficial to both students and colleges. In this paper, we propose a quantitative machine learning approach to predict an applicant's potential performance in the graduate program. Our work is based on a real world dataset consisting of MS in CS [Master of Science in…