With a sample of 160 Muslim college students attending 34 historically Black colleges and universities (HBCUs), ordinary-least-squares regression analyses were conducted to examine students' sense of belonging and mattering. Conceptually grounded in the minoritized religious and spiritual campus climate framework (MRSCC), the findings indicated…

This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of "that" in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English.

Enhancing student engagement and achievement in large undergraduate university courses is a vibrant area of research. Many existing studies have demonstrated the capacity of technologically enhanced formal and informal learning spaces to promote learning. However, this literature is dominated by studies that use assessment to incentivise student…

Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect of online co-reflection was reported in the literature, few studies have comprehensively examined both individual and group factors and their relationships that affect the co-reflection…

The purpose of this study is to analyze the relationships between the flow states and undergraduate attitudes' towards math and engagement in a mathematics course in an education faculty. The results showed that the more positive attitudes the students had towards mathematics courses, the more flow they experienced and the less anxiety they had in…

Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in…

State-wide tests are designed to measure student overall ability on grade-level standards. School leaders want fine-grained information on student performance to inform curriculum and instruction. One currently used target scoring method, which compares student scores to expected values is currently used to give this feedback to schools, but there…

Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…

The objective of this study is to present and discuss how data visualization can be incorporated into teaching approaches by business faculty in introductory business statistics to strengthen business students' practical skills. Data visualization lessens difficulties in learning statistics by providing opportunities to illustrate analytical…

The current study focusses on the level of statistics anxiety and the motivation to learn statistics in Flanders (Belgium) and determined to what degree these factors and their interaction relates to statistical performance. For this purpose, the Statistics Anxiety Scale and the Statistics Motivation Scale were translated, validated, and…

STEM learning experiences at the school level provide both opportunities and challenges for exploring students' understanding of statistical concepts. This report focuses on data handling and informal inference embedded in a STEM context, that is, of testing, adjusting, and retesting catapults. In particular, the learning goal was for Grade 4…

Fluent conversation requires temporal organization between conversational exchanges. By performing a systematic review and Bayesian multi-level meta-analysis, we map the trajectory of infants' turn-taking abilities over the course of early development (0 to 70 months). We synthesize the evidence from 26 studies (78 estimates from 429 unique…

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…

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…

Recent and rapid technological advances have given rise to an explosive growth of data, along with low-cost solutions for accessing, collecting, managing, and analyzing data. Despite the advances in technology and the availability of data, social work organizations routinely encounter data-related problems that have an impact on their…