This study introduces an optimized ensemble deep neural network (Optimized Ensemble Deep-NN) to enhance the accuracy of predicting student grades. This model solves the problem of different and complicated student performance data by using deep neural networks, ensemble learning, and a number of optimization algorithms, such as Adam, SGD, and RMS…

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…

Across the UK, child protection social workers are routinely called upon to assess the likelihood of future significant harm to children. Yet making consistently accurate judgements about what may or may not happen in future can be a difficult task. In a previous study, we tested social workers' abilities (n = 283) to forecast the likelihood of…

Due to severe time constraints, goalkeepers regularly face the challenging task to make decisions within just a few hundred milliseconds. A key finding of anticipation research is that experts outperform novices by using advanced cues which can be derived from either kinematic or contextual information. Yet, how context modulates decision-making…

Teacher self-efficacy is a critical component of school life quality, leading scholars to explore the mechanisms behind it. Most studies have focused on this factor's mediation and moderation functions, with some indicating a strong link between teachers' academic optimism and self-efficacy. However, the roles of teachers' professional development…

The current study aims to contribute to the literature on how organic chemistry students weigh various factors when predicting products of substitution and elimination reactions. This study focuses specifically on these mechanism types, as they are often the first instances where students must consider the "how" and the "why"…

This study investigates how speakers of Mandarin interpret negative sentences with the conjunction ("he" 'and'). Our experiments test three predictions that follow from the proposal that the Mandarin conjunction is a positive polarity item (PPI) for both children and adults. On this account, the Mandarin conjunction should be interpreted…

A career is crucial for anyone to fulfill their desires through hard work. During their studies, students cannot find the best career suggestions unless they receive meaningful guidance tailored to their skills. Therefore, we developed an AI-assisted model for early prediction to provide better career suggestions. Although the task is difficult,…

Evidence of sensitivity to graphotactic and morphological patterns in English spelling has been extensively examined in monolinguals. Comparatively few studies have examined bilinguals' sensitivity to spelling regularities. The present study compared late Chinese-English bilinguals and English monolinguals on their sensitivity to systematic…

Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…

This study aims to analyze causal factors affecting predictive student relationship management for undergraduate student retention using business intelligence. Phase 1 involved identifying key factors influencing retention through document analysis, categorizing them into social, learning, teaching, and student-related factors. Social factors…

Background: The COVID-19 pandemic forced districts to rapidly adjust their policies in ways that altered teachers' working conditions. Teachers' perceptions of how conditions changed could impact their well-being, job satisfaction, and organizational commitment. Purpose: We examined the relationships between Virginia teachers' perceptions of how…