The ability to predict upcoming events is essential in infancy because it enables babies to process information optimally and have successful goal-directed interactions with their environment. In this article, we examine how infants generate predictions in perception, cognition, and action, and address whether and how their predictions are…

Algorithms may be better at prediction than humans in a variety of contexts, but they are not perfect. A deeper understanding of the ways in which educators use and question algorithmic advice within their professional domain is needed. Educators are a particularly unique professional group, in comparison with the other groups studied in the…

Usage-based theories of language development underscore the importance of children using language to learn language. Few investigations have applied usage-based theories to dual language learners (DLLs), who comprise a growing share of children attending early education programs in the U.S. Three studies were carried out to investigate the role of…

Extant literature has demonstrated that children's diurnal stress physiology often looks different on childcare versus home days. Specifically, children experience a rise in cortisol, rather than a decline, over the day while in full-time care. Additionally, temperamental fit within classroom environment may influence both child and teacher…

Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…

Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…

The capacity of families with autistic children to demonstrate resilience is a notable strength that has received little attention in the literature. A potential predictor of family resilience in households with autistic youth is neighborhood support. This study examined the relationship between neighborhood support and family resilience in…

The Home Literacy model predicts different outcomes depending on formal and informal literacy practices carried out at home. However, this model does not explicitly consider the potential differences that the media (paper vs. tablets) in which these practices are carried out can have on performance. The present study explored this issue.…

Self-regulated learning (SRL) is an essential skill to achieve one's learning goals. This is particularly true for online learning environments (OLEs) where the support system is often limited compared to a traditional classroom setting. Likewise, existing research has found that learners often struggle to adapt their behaviour to the…

The aim of the study is to determine the level of relationship between school climate and happiness according to student perceptions. This research is in the descriptive relational survey model. The sample of the study consists of a total of 539 students studying in public primary schools in the districts located in Ankara, the capital city of…

Peer victimization in schools is a growing concern in China, linked to increased emotional difficulties and behavioral difficulties. A positive school climate may serve as a protective factor against both peer victimization and its adverse outcomes. This study examined the longitudinal relations between peer victimization, aggression, and school…

Purpose: This study aims to determine and analyze the predictors of food waste reduction intention and behavior among higher education institutions (HEIs) using an extended version of the theory of planned behavior (TPB). Design/methodology/approach: This study empirically tested an extended TPB model through regression analyses using data…

Within the framework of Self-Determination Theory (SDT), basic psychological need satisfaction predicts quality of motivation which in turn predicts study efforts. Although studies focusing on interpersonal differences have repeatedly shown this sequence of relations, only a few have examined its stability at the intra-personal level. In this…

This study contributes to a more nuanced understanding of student engagement in online learning by exploring the effects of salient online learning environment conditions on student engagement and the motivational pathways through which they affect engagement. Survey data were collected from 351 undergraduate students enrolled in various online…

There is currently a lack of a more integrated perspective on reading literacy education. In preschool reading activities, it's important to maximize an individual's potential for reading literacy development with limited nurturing energy. Based on self-regulated theory and metacognitive models, this study explored the pathway model of the…