Embodied cognition--the idea that mental states and processes should be understood in relation to one's bodily constitution and interactions with the world--remains a controversial topic within cognitive science. Recently, however, increasing interest in predictive processing theories among proponents and critics of embodiment alike has raised…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

We analyze admissions and transcript records for students at multiple Ivy-Plus colleges to study the relationship between standardized (SAT/ACT) test scores, high school GPA, and first-year college grades. Standardized test scores predict academic outcomes with a normalized slope four times greater than that from high school GPA, all conditional…

Current growth mindset models lack the specificity regarding behavioral mechanisms that translate incremental beliefs into meaningful achievement gains. Addressing this gap, this study synthesized the literature to conceptualize the Integrated Growth Systems Framework (IGSF) and developed the Growth Practices Scale (GPS). The IGSF maps how a…

Understanding of preterm infant cognitive competences across the first year of life is limited regarding the developmental constructs of continuity, stability, coherence, and predictive validity as well as how they manifest by age and country of origin. This prospective longitudinal study examined and compared mean-level continuity,…

Individual Placement and Support (IPS), an evidence-based supported employment model for working-age adults with serious mental illness, also serves transition age adults (TAY; ages 16-24). The IPS-Y is a new IPS fidelity scale tailored to this younger population. Although adopted worldwide, it lacks research on the psychometric properties of its…

The societal demand for graduates with expertise in Science, Technology, Engineering, and Mathematics (STEM) stands in contrast with prevalent issues of diminished interest among high school students in STEM subjects and low completion rates in STEM academic programs. In the Flemish educational context, heterogeneity in STEM preparedness of…

Self-report measures are essential sources of information about learners' studying perceptions. These perceptions also guide self-regulated learning (SRL) decisions and strategies in future studying. However, the development of self-report methods has not kept pace with other multi-modal methodological advancements, particularly in the field of…

Student engagement in science classroom is an essential element for delivering effective instruction. However, the popular method for measuring students' emotional learning engagement (ELE) relies on self-reporting, which has been criticized for possible bias and lacking fine-grained time solution needed to track the effects of short-term learning…

Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…

In this exploratory study, we designed and validated game-based performance tasks to assess the development of representational flexibility in autistic adolescents through virtual reality (VR)-based training. Representational flexibility, a critical cognitive ability, involves attention switching, generating representations, and recognizing…

As evidence-based interventions are scaled, fidelity of implementation, and thus effectiveness, often wanes. Validated fidelity measures can improve researchers' ability to attribute outcomes to the intervention and help practitioners feel more confident in implementing the intervention as intended. We aim to provide a model for the validation of…

Using data from students in Grades 3-8 in school years 2018-2019 (N = 1,871) and 2021-2022 (N = 1,740), we examined the strength of fall math screening using Measures of Academic Progress (MAP) for predicting end-of-year state math assessment performance levels and whether this prediction varied across English language proficiency (ELP). In…

Education leaders need valid metrics to predict students' long-term success. We use a unique data set with cognitive skills, self-regulation, behavior, course performance, and test scores for eighth-grade students from a Northeast school district. We link these data to students' high school outcomes, college enrollment, persistence, and on-time…

Transversal skills describe a broad spectrum of skills that are considered to be essential for thriving in today's society and tackling the challenges of the twenty-first century. Therefore, a high demand is placed on educators to teach these skills to their students. Unfortunately, the conceptualization of transversal skills remains vague with…