Based on expectancy-value theory, this study adopted a person-centred approach to explore the heterogeneous profiles of secondary German and Taiwanese students' mathematical modelling task values, and examined the differences in their mathematical modelling performance, controlling for the variable of intra-mathematical knowledge among the…

ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology's capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and…

Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

Background: The American Psychological Association has identified information literacy as a crucial component to undergraduate education. One major barrier to comprehensive information literacy instruction has been a lack of guidance integrating this into survey courses, particularly with reduced pedagogical resources available. Objective: This…

Objective: The goal of the present study is to describe the ADHD phenotype from childhood to adolescence in Black and White girls in a community sample. Method: Primary caregivers enrolled in the population-based, longitudinal Pittsburgh Girls Study reported on girls' ADHD symptoms and impairment from ages 7 to 17; diagnostic subtypes were…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Although several studies highlight the benefit of short-term immersion programs abroad among social work students, few studies have examined their transformative nature. In response, this study aimed to describe the transformative change experienced by MSW students from the Southwest USA who participated in a short-term, immersion program in…

Longitudinal studies provide developmental science with invaluable information about how variables and the associations between variables change across time, but typically give limited attention to the length of time over which that change occurs. The present study re-analyzed data from previously published meta-analyses of longitudinal data…

Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…

Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violating these assumptions threatens an NMA's validity. In this article, we suggest a graphical approach to…

Despite the increasing implementation of formative assessment in medical education, its' effect on learning behaviour remains questionable. This effect may depend on how students value formative, and summative assessments differently. Informed by Expectancy Value Theory, we compared test preparation, feedback use, and test-taking motivation of…

Engagement has been recognized as one of the most important factors of learning and achievement in academic settings. Research on engagement has been gearing toward a "person-in-context" orientation, where both personal characteristics and contextual features in relation to students' engagement are considered. This orientation allows a…

This article details the outcome of a joint reflective approach undertaken by the authors to identify common difficulties experienced by 2nd-year undergraduate Biochemistry students in laboratory classes. Difficulties experienced in laboratories can affect the development of hand skills, an understanding of how to correctly operate laboratory…

Single-case experimental designs (SCEDs) have been used with increasing frequency to identify evidence-based interventions in education. The purpose of this study was to explore how several procedural characteristics, including within-phase variability (i.e., measurement error), number of baseline observations, and number of intervention…

Kinesiology courses that implement health disparities (HD) topics into the undergraduate curriculum engage students in critical and conscious thinking about health outcomes and strategies as they prepare for careers as future health and medical professionals. Health disparities are disproportionate differences in health based on race, gender,…