The metarepresentational aspect of early pretend play (make-believe activities where children create or participate in creating a new situation different from a real one) has been theoretically debated. In the present longitudinal study of N = 83 children, we tested for predictive relations of shared attention at 12-18 months, implicit false…

Student attendance in class, and participation while in class, are predictors of student performance. Last year, we reported on a new measure combining class attendance and attentiveness while in class and used this participation score as a predictor of student performance on the final exam in the class. This year, we follow up by analyzing data…

In this study we characterize student procrastination habits and investigate associations between these habits and student performance on graded course components, student beliefs about their own procrastination behavior, and gender. The procrastination habits of calculus-based introductory physics students are measured via the amount of time…

In this study, it was aimed to determine the predictive relationships between the incivility behaviors faced by guidance counselors and subjective well-being (SWB) and life-domain satisfaction. The design of the study was based on the relational survey model. The study group was selected using the disproportionate appropriate sampling method. A…

The aim of the article is to study the prediction model of an individual learning style in e-learning systems to enhance the effectiveness of dentistry education. In developing the model, Neil Fleming's VARK concept of information perception was applied. The statistical data of the Russian Federal State Statistics Service on the students'…

According to the triangular love theory, this study investigated the roles of three components of love (i.e., passion, intimacy, commitment) and the moderating role of conflicts in predicting different forms of sexting (i.e., experimental, nonconsensual, under pressure) in teen dating relationships. Participants were 409 adolescents (M[subscript…

Providing early predictions of academic performance is necessary for identifying at-risk students and subsequently providing them with timely intervention for critical factors affecting their academic performance. Although e-book systems are often used to provide students with teaching/learning materials in university courses, seldom has research…

To successfully navigate an uncertain world, one has to learn the relationship between cues (e.g., wind speed, atmospheric pressure) and outcomes (e.g., rain). When learning, it is possible to actively manipulate the cue values to test hypotheses about this relationship directly. Across two studies, we investigated how 5- to 7-year-olds actively…

The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…

Interactive simulations allow students to independently explore scientific phenomena and ideally infer the underlying principles through their exploration. Effectively using such environments is challenging for many students and therefore, adaptive guidance has the potential to improve student learning. Providing effective support is, however,…

IUPAC nomenclature of lower alkanes (1C to 10C) is quite common and digestible. But students face problems remembering and predict IUPAC word-root during IUPAC nomenclature of higher alkanes (C >11). Here in this innovative article, I have tried to focus IUPAC nomenclature of higher alkanes (11C to 90C) through the prediction of IUPAC word root…

Machine learning has achieved state-of-the-art performance in many areas, including image recognition and natural language processing. However, there are still many challenges and mysteries attracting numerous researchers. This dissertation comprises a series of works concerning problems at the intersection of computer science theory, adversarial…

Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers. However, manually labeling educational content is labor intensive and error-prone. To address this challenge, prior research proposed machine learning based solutions to auto-label educational content with limited success.…

The purpose of this study was to further investigate the relationship between the instruments identified by Kose and developed by Maras et al. (2013), Astramovich (2016), and Dimmitt et al. (2007) to provide validation to the proposed taxonomy of program evaluation competencies for school counselors. Theoretically, these instruments should be…

Design science research (DSR) is one of important research paradigms in information systems (IS) that focus on addressing business problems by building and implementing design artifacts. Recently, predictive analytics has become one major stream of DSR thanks to the improvement of computational power and methods and the increase in available…