Historically, undergraduate anatomy and physiology (A&P) has been a challenging course for incorporating conceptual learning techniques due to large class sizes and an emphasis on content and terminology. The project utilized the Predict-Observe-Explain (POE) strategy to create short activities based on real-world scenarios that incorporated…

The statistical properties of data are not present in any individual value, but rather, emerge only by perceiving the set as a whole. Summarizing the statistical properties of sets (e.g., creating ensembles) is ubiquitous in cognition, yet one unanswered question is how this process changes over development. The properties of number sets (e.g.,…

The longitudinal Belfast Youth Development Study (BYDS) followed a group of young people from age 11 to 21 years (from 2001 to 2011), charting their experiences of substance use, offending, education, and peer and family relationships. This allowed the investigation of risk and protective factors associated with different types of behavioural…

The advent of data science has led to statistics education researchers re-thinking and expanding their ideas about tools for teaching statistical modeling, such as the use of code-driven tools at the secondary school level. Methods for statistical inference, such as the randomization test, are typically taught within secondary school classrooms…

Data-art inquiry is an arts-integrated approach to data literacy learning that reflects the multidisciplinary nature of data literacy not often taught in school contexts. By layering critical reflection over conventional data inquiry processes, and by supporting creative expression about data, data-art inquiry can support students' informal…

The COVID-19 pandemic has significantly affected the field of teaching and educational research, requiring new changes to methodological tools in my research. My doctoral study examines Maldivian primary teachers' engagement with social studies pedagogies through reflection. The pandemic posed several complex data collection challenges which I…

One way to provide intensive intervention for students with severe and persistent reading difficulties is to use a systematic data-based decision-making process called data-based individualisation (DBI). DBI is a process for identifying needs and aligning them with specialist support. Meta-analyses of DBI studies by university-based researchers…

The article aims to investigate consumer perception of innovations in e-commerce and according to exploratory research results to define further research areas. Literature analysis was performed to investigate and identify important criteria of e-commerce quality perception, after exploratory research was conducted, in order to deepen the…

We study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. In the context of this system, we explore affirmative action policies that seek to narrow the gap between the admission rates of different socio-demographic groups while still accepting students with…

While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…

This study aims to draw attention to data literacy, which is considered an important skill of the 21st century, and to provide an example activity that would incorporate it into chemistry education. The activity was designed using real data of Robert Boyle's experiment. The activity aims to examine Boyle's data in such a way to support data…

Gifted students can exhibit extreme variance in both their abilities and their interests, yet they are often treated within schools as one homogeneous, specialized population. "Personalized Learning in Gifted Education" helps educators strengthen their differentiation of both instruction and services for advanced students. This book: (1)…

Given the concerning lack of teachers of color in Minnesota, the positive outcomes of having a diverse educator workforce, and growing legislative action in this area with the Increase Teachers of Color Act, the Minnesota Department of Education with the assistance of the Wisconsin-Minnesota Comprehensive Center Region 10 (R10CC) sought to better…

Social network data often contain missing values because of the sensitive nature of the information collected and the dependency among the network actors. As a response, network imputation methods including simple ones constructed from network structural characteristics and more complicated model-based ones have been developed. Although past…

While the majority of U.S students are children of color, only 20% of teachers are people of color. What's more, 40% of the nation's public schools do not have a single teacher of color on record. Research shows that all students, regardless of race or ethnicity, benefit socially, emotionally, and academically from a diverse teacher workforce.…