We note two possibilities for how our science might capitalize on advances in computing that harness and weave "big data" into the rich tapestry of how human development unfolds. First, we propose that the classic theoretical models that have guided developmental research since the 1970s and the hierarchical analytical models used to…

Although Virginia Gordon framed an effective model for career advising, student respondents in national surveys continue to report unmet needs. Several national organizations have called for further integration of academic and career advising. Previous scholars, however, have not fully acknowledged environmental constraints or provided a recent…

The authors draw from the burnout literature to present a framework for faculty wellbeing efforts. Burnout happens when there is a mismatch between one's ideal and reality and can result in exhaustion, cynicism, and feeling ineffective. Rather than focusing on mitigating burnout, we present a framework for engaging faculty on the other end of the…

Current speech-to-speech translation systems face challenges in effectively translating the nuances of prosody, which plays a pivotal role in conveying speaker intent and stance in dialog. This limitation restricts cross-lingual communication, especially in situations demanding deeper interpersonal understanding. To address this, this research…

The continuing quest to ensure user acceptance is an ongoing management challenge and one that has occupied information systems researchers to such an extent that technology acceptance research is now considered to be among the more mature areas of exploration. Several models have been developed and validated in different contexts to help explain…

The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally…

This study investigates the relations between school readiness and self-regulation skills of preschool children and parental involvement towards education of their preschool children. More specifically, we focused on the mediation role of preschoolers' self-regulation skills on the relation between parental involvement and school readiness. The…

This study delves into the complex relationship between storytelling and historical understanding. Focused on how lower-secondary students employ narrative discourse in writing, it examines the extent to which their storytelling aids or limits historical comprehension. Drawing on systemic-functional linguistics and history education theories, the…

Social support has been consistently identified as a protective factor for youth. Two competing models have been proposed regarding the role of social support: one in which social support provides benefits for all youth (General Benefits) and one where youth undergoing stress are especially protected (Stress-Buffering). While the General Benefits…

Purpose: Evaluating emergency preparedness exercises is crucial for assessing enhanced knowledge, facilitating learning and implementing knowledge in organizations. The cognitive process of motivation for action is a precursor for action, coping behavior and individual learning. This study aims to focus on how guided evaluation of emergency…

Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…

Simulation studies are the basic tools of quantitative methodologists used to obtain empirical solutions to statistical problems that may be impossible to derive through direct mathematical computations. The successful execution of many simulation studies relies on the accurate generation of correlated multivariate data that adhere to a particular…

The multiple imputation two-stage (MI2S) approach holds promise for evaluating the model fit of structural equation models for ordinal variables with multiply imputed data. However, previous studies only examined the performance of MI2S-based residual-based test statistics. This study extends previous research by examining the performance of two…

Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…

Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…