The influence of teachers' interpersonal communication abilities and learning environment on second/foreign language (L2) students has received a growing scholarly attention. However, the preventing role of teachers' immediacy behaviours and classroom climate on English as a foreign language (EFL) students' negative, destructive emotions has been…

Grade inflation is a nuanced phenomenon that has important implications for educational outcomes. This study shows that while high school GPA (HSGPA) remains an important predictor of student success in college, its predictive strength can be diluted in the presence of grade inflation. Practically speaking, high GPAs from schools with a history of…

Purpose: Predicting learner outcomes in blended learning (BL) is a new problem with many challenges, as learner data must be collected in both face-to-face and online environments. The purpose of this article is to identify the best method for building a model to predict student performance in BL and to determine the appropriate time for early…

Prior research has demonstrated that students' performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students' visual attention to both the verbal item stem and accompanying visual representations, such…

"Classic" forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution, meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the…

Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…

When performing a systematic review, researchers screen the articles retrieved after a broad search strategy one by one, which is time-consuming. Computerised support of this screening process has been applied with varying success. This is partly due to the dependency on large amounts of data to develop models that predict inclusion. In this…

Purpose: The main goal of this work is to argue the theoretical validity of two competitive models that integrate entrepreneurial alertness in the Theory of Planned Behavior (TPB), and also to propose an explanation for the conceptual approach with a higher explicative ability. Design/Methodology/Approach: A total of 281 undergraduate students…

Contemporary theories of decision-making are compared with respect to their predictions about the judgments that are hypothesized to underlie risky choice framing effects. Specifically, we compare predictions of psychophysical models, such as prospect theory, to the cognitive representational approach of fuzzy-trace theory in which the presence or…

Studies have examined the association between theory of mind (ToM) and prosocial behavior in children with mixed results. A handful of studies have examined prosocial sharing behavior in children with autism, who typically exhibit ToM deficits. Studies using resource allocation tasks have generally failed to find significant differences between…

The current study addresses gaps in our understanding of the relationship between creative cognition, intelligence (IQ), and executive functioning (EF). Undergraduate students completed an IQ test, verbal and figural divergent thinking (DT) tests, and a self-assessment of EF, across four study sessions. Participant data (N = 199) were analyzed…

Language research has come to rely heavily on large-scale, web-based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long-standing challenges in corpus-based language research,…

By age 2, children are developing foundational language processing skills, such as quickly recognizing words and predicting words before they occur. How do these skills relate to children's structural knowledge of vocabulary? Multiple aspects of language processing were simultaneously measured in a sample of 2-to-5-year-olds (N = 215): While older…

Cognitive development is often characterized in terms of discontinuities, but these discontinuities can sometimes be apparent rather than actual and can arise from continuous developmental change. To explore this idea, we use as a case study the finding by Stager and Werker (1997) that children's early ability to distinguish similar sounds does…

The diagnostic feature-detection theory (DFT) of eyewitness identification is based on facial information that is diagnostic versus non-diagnostic of suspect guilt. It primarily has been tested by discounting non-diagnostic information at retrieval, typically by surrounding a single suspect showup with good fillers to create a lineup. We tested…