Transitioning out of college for NCAA Division III student athletes is a unique experience. Through the lens of the athletic identity theory, this study examined how Division III student athletes describe their experience transitioning out of college. Participants included former Division III student athletes from a university in the southwest…

This study examines factors that influence readers' cognitive processing (i.e., inference generation) and the development of a mental representation of text: comprehension skill and working memory (WM). Elementary students (N = 61) participated in causal questioning conditions with narrative texts to examine text- and knowledge-based inferences…

Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…

This study was conducted to examine whether newly enrolled 9th grade students were ready to directly engage in the theoretical discursive process from the perspective of Duval's Cognitive Model. The sample of the study was comprised of 51 newly enrolled 9th grade students between the ages of 14 and 15, who had not received any prior geometry…

Conceptual challenge is often considered a necessary ingredient for promoting deep learning in an inquiry-based environment. However, challenge alone does not support conceptual development. In this paper, we draw on complexity theory as a theoretical lens to explore how a primary teacher facilitated students' conceptual change through repeated…

In this experiment we investigated whether the presentation of domain principles within one text facilitates reading to learn from multiple exemplar texts that feature the importance of the principles. There were five texts about natural selection: a principles text, which described principles of natural selection, and four exemplar-based texts…

Discourse-based interviews allow researchers to gather data about a writer's understanding of what informs a task. This method was essential for a research team seeking to understand the impact of programmatic learning objectives on student writing development. Three decisions in the approach to this research project sought to center the student…

Drawing on discourse analysis and interview data, this case study uncovers how a lesson study team, supported by a curriculum specialist and an experienced teacher, anchored anticipating of student learning in sound curriculum deliberation, which enabled novice teachers to teach effectively inferencing skills, a highly demanding domain, through an…

Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

Aims: Speed reading is advertised as a way to increase reading speed without any loss in comprehension. However, research on speed reading has indicated that comprehension suffers as reading speed increases. We were specifically interested in how processes of inference generation were affected by speed reading. Methods: We examined how reading…

Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…

A critical component of cognitive diagnostic models (CDMs) is a Q-matrix that stipulates associations between items of a test and their required attributes. The present study aims to develop and empirically validate a Q-matrix for the listening comprehension section of the International English Language Testing System (IELTS). To this end, a…

Science education aims to enhance students' scientific knowledge and inquiry ability. In recent years, due to the advancements of computer and network technology, as well as the considerations of safety and cost, virtual reality (VR) has been gradually applied in scientific inquiry activities. When implementing inquiry-based learning in the past,…

In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…

The fact that the mathematics course is abstract, that it is not possible to associate it with daily life, and that it is impossible to concretize abstract expressions causes a prejudice against the this course and leads to a decrease in the academic achievements of students. It is seen that throughout history, various studies have been carried…