In an attempt to engage more students in Science, Technology, Engineering and Mathematics (STEM) subjects, schools are encouraged by STEM educators and professionals to introduce students to STEM through projects which integrate skills from each of the STEM disciplines. Because little is known about the learning environment of STEM classrooms, we…

Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course content rather than memorizing details. So widespread is this perspective that Likert-style inventories are now routinely administered to students to quantify how much a given course or curriculum evokes deep learning. The predictive validity of…

Studies highlighting the importance of parental involvement in schooling have multiplied over the past years. However, well-validated tools assessing the different dimensions of parental involvement are lacking, especially when addressing young students' perception of their parents' involvement. This study offers a preliminary validation of the…

Background: The Teacher-Student relationship (TSR) is instrumental for young children and adolescents' socio-emotional development and wellbeing as well as academic engagement and progress. Aims: The primary aim of this study was to test the psychometric properties, including reliability and factorial, convergent, and predictive validity, of the…

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…

This study examines the relationship between language attitudes and language use from a social cognition perspective in the context of Catalonia, a culturally and linguistically diverse Spanish Autonomous Community that has been implementing social and educational measures to promote the use of its own language, Catalan. We examined how implicit…

School climate is an essential ingredient of student well-being and academic success. Although it has been studied extensively, only a few well-validated instruments are available for the assessment of school climate. The aim of this study was to assess the factor validity and measurement invariance of the Socio-educational Environment…

We compared the influence of open-book extended duration versus closed book time-limited format on reliability and validity of written assessments of pharmacology learning outcomes within our medical and dental courses. Our dental cohort undertake a mid-year test (30xfree-response short answer to a question, SAQ) and end-of-year paper (4xSAQ,…

This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…

In 1998, Plucker and Runco provided an overview of creativity assessment, noting current issues (fluency confounds, generality vs. specificity), recent advances (predictive validity, implicit theories), and promising future directions (moving beyond divergent thinking measures, reliance on batteries of assessments, translation into practice). In…

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…

Measuring self-efficacy can be a valuable means for instructors to predict student performance. However, it is crucial to measure self-efficacy within specific contexts to effectively gauge students' perceptions of their capabilities. This study evaluated the factors comprising the Anatomical Self-Efficacy Instrument (ASEI) and determined whether…

The PageRank model has been applied in sport ranking systems; however, prior implementations exhibited limitations and failed to produce valid rankings. This study analyzed 1,466 National Collegiate Athletic Association (NCAA) Division 1 football games and developed a novel, modified PageRank model. We also proposed an artificial…

This study provides a comprehensive overview of methodological aspects when using heart rate variability (HRV) measures in educational research. Following PRISMA 2020 guidelines, we searched four databases for relevant studies published until March 5, 2024. From the 48 studies reviewed, we extracted data across three analytical categories: (1)…