The current study investigated whether children understand the conditions under which another agent would hold uncertain knowledge resulting from inferential processes and, more importantly, whether children can make causal inferences about the relationship between the certainty of an agent's epistemic states and consequent behavioral strategies.…

Infants acquiring their native language are adept at discovering grammatical patterns. However, it remains unknown whether these learning abilities are limited to language, or available more generally for sequenced input. The current study is a conceptual replication of a prior language study, and was designed to ask whether infants can track…

Considerable attention has been given to methods for knowledge estimation, a category of methods for automatic assessment of a student's degree of skill mastery or knowledge at a specific time. Knowledge estimation is frequently used to make decisions about when a student has reached mastery and is ready to advance to new material, but there has…

We constructed 4 working memory recognition models to predict behavior in the local recognition task (also called change detection), in which both content (e.g., color) and context (e.g., location) information are necessary to make correct recognition decisions. The theoretical assumptions incorporated in the models come from crossing 2 contrasts:…

Adults create and update predictions about what speakers will say next. This study asks whether prediction can drive language acquisition, by testing whether 3- to 4-year-old children (n = 45) adapt to recent information when learning novel words. The study used a syntactic context which can precede both nouns and verbs to manipulate children's…

Despite the vast amount of research on creativity and organizational citizenship behavior (OCB), little knowledge has been accumulated with respect to underlying mechanisms and boundary conditions affecting team creative performance and change OCB. To fill this research gap, this study aims at proposing and testing a moderated mediation model that…

The generation of predictive inferences may be difficult when a story leads to multiple possible consequences. The present study examined whether inferences are generated when the story implies two mutually exclusive consequences are nearly equally likely to occur. Experiment 1 used a word-naming task and showed that neither inference was…

When Dr. Tonya Williams set out to improve the assessment program for the Georgia Leadership Preparatory Academy, she knew she had to develop a strategy that respected her teachers' time. "Students need and want to grow," she explains, "and that happens through improved teacher pedagogy. But to make that a reality, you have to give…

This work presents a study that used distributed language representations of test items to model test item difficulty. Distributed language representations are low-dimensional numeric representations of written language inspired and generated by artificial neural network architecture. The research begins with a discussion of the importance of item…

The current study examined the extent to which sixth grade students used their pre-existing topic beliefs to guide comprehension of semantic ideas within multiple conflicting texts, and the sources providing them. Adolescents completed an inventory assessing their pre-reading topic beliefs one week prior to the study. During the study, students…

In two visual world experiments we disentangled the influence of order of mention (first vs. second mention), grammatical role (subject vs object), and semantic role (proto-agent vs proto-patient) on 7- to 10-year-olds' real-time interpretation of German pronouns. Children listened to "SVO" or "OVS" sentences containing active…

The acquisition of a second language (L2) may be challenging in adulthood, as the phonological system of the native language (L1) can sometimes limit the perception of phonological contrasts in L2. The present study aimed to (a) examine the influence of an L1 (Hebrew) that lacks a phonemic contrast for vowel length on the ability to discriminate…

The article aims to develop a machine-learning algorithm that can predict student's graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics…

Background: Over the past few decades early self-regulation has been identified as foundational to positive learning and wellbeing trajectories. As a consequence, a wide range of approaches have been developed to capture children's developmental progress in self-regulation. Little is known, however, about whether and which of these are reliable…

High-stakes language tests are used around the world as a gatekeeping tool under the internationalization of higher education. However, the predictable aspect of the high-stakes language tests is seldom discussed, especially from students' perspectives. This study aims to address this gap by aiming to better understand how certain factors and…