Conspiracy beliefs have negative effects on decision making in several life areas including health, ethical, political and environmental domains. But their influence on financial decisions is not known. The current study examines the mediational role of social trust in the relationship between non-financial conspiracy beliefs and stock market…

Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

Child protection social workers in England are required to make many decisions in their day-to-day work, including whether to accept a referral, undertake a child protection investigation, pursue care proceedings, or close the case. Many of these decisions involve implicit or explicit predictions about the likelihood of future actions, events, and…

The stress literature suggests that coping strategies are implicated in mental health outcomes. However, the longitudinal relationship between coping strategies and mental health in the autistic adult population has not yet been examined. This 2-year longitudinal study examined the predictive role of both baseline and change in coping strategy use…

This study investigates the predictive relationship between academic resilience and cognitive flexibility among students in biology lessons enhanced by design thinking. Using an embedded quasi-experimental design, we compared the effects of design thinking-enhanced lessons with conventional engage, explore, explain, elaborate, evaluate (5E)-based…

This article presents a group assignment that introduces undergraduate students to the biblical prophets: their original context, their attentiveness to social issues, and the rhetorical methods they utilize. In the assignment, students compose a prophecy set in the modern day that is modeled on the book of Amos. Due to the collaborative nature of…

Purpose: Children's enjoyment of school (ES) and academic performance (AP) are two important factors of educational success. This study investigated the mechanism of the effect of school-home communication (SHC) on ES and AP, testing the mediating roles of caregiver participation in school activities (CPSA), interactive learning (IL), and cultural…

This study investigates how individual differences related to creative and verbal fluencies can be differentiated and modelled through the linguistic features that manifest in student writing. Using computational linguistics, we analyzed samples of intrapersonal writing to extract linguistic features that align to specific dimensions of language.…

AI-powered predictive systems have high margins of error. However, data visualisations of algorithmic systems in education and other social fields tend to visualise certainty, thus invisibilising the underlying approximations and uncertainties of the algorithmic systems and the social settings in which these systems operate. This paper draws on a…

Numerous developmental findings suggest that infants and toddlers engage predictive processing during language comprehension. However, a significant limitation of this research is that associative (bottom-up) and predictive (top-down) explanations are not readily differentiated. Following adult studies that varied predictiveness relative to…

Purpose: Dynamic Systems Theory (DST) has been used as a foundational lens through which to observe and understand child development and disorders. Childhood apraxia of speech (CAS) is a motor planning speech disorder that can be difficult to treat. This tutorial outlines how a DST framework can be used to understand the therapy process for…

The use of educational data mining and machine learning to analyse large data sets collected by educational institutions has the potential to discover valuable insights for decision-making. One such area that has gained attention is to predict student performance by analysing large educational data sets. In the relevant literature, many studies…

Student's shift of attention away from a current learning task to task-unrelated thought, also called mind wandering, occurs about 30% of the time spent on education-related activities. Its frequent occurrence has a negative effect on learning outcomes across learning tasks. Automated detection of mind wandering might offer an opportunity to…

The rapid expansion of e-learning has resulted in a surge in educational data volume, presenting challenges in manually uncovering valuable information. Concurrently, advancements in educational data mining offer robust technical support for forecasting student performance based on their engagement behaviors. In this study, we initially…

Evidence of processing costs for unexpected words presented in place of a more expected completion remains elusive in the eye-movement literature. The current study investigated whether such prediction error costs depend on the source of constraint violation provided by the prior context. Participants' eye movements were recorded as they read…