With the budding interests of structural and functional network characteristics as potential parameters for abnormal brains, an essential and thus simpler representation and evaluations have become necessary. Eigenvector centrality measure of functional magnetic resonance imaging ("fMRI") offer region wise network representations through…

Purpose: The purpose of the study is to understand the moderating impact of perceived technological innovativeness (PTI) in terms of gender differences as far as adoption and usage of Open Government Data (OGD) is concerned. Design/methodology/approach: Partial least squares-structural equation modelling (PLS-SEM) methodological approach is used…

The University of Missouri Kansas City (UMKC) is an urban research university with a special emphasis on fostering diversity. In 2021, the Center for Advancing Faculty Excellence created a Faculty Fellows program to develop comprehensive resources and support in four areas: teaching and learning, service and engagement, research and creativity,…

This article explores utilizing a post-graduation success lens to help community college leaders frame the challenges of achieving equitable improvement for their students. Specifically, it posits that providing and exploring customized labor market data presented in an accessible format can help institutional leaders provide a "true…

This study focused on the importance of developmental assessment in early childhood and the approaches used by teachers in this process. This study examined how teachers conduct assessment processes based on individual differences and child-centered approaches. This study used a mixed-method design and was conducted with 181 preschool teachers in…

Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases…

Dual language education is an innovative educational model available for families selecting schools through school choice. While extensive research supports the academic benefits of dual language programs (DLPs) for non-English native speakers and communities of color in the United States, enrollment often does not reflect these populations. This…

There is a large body of research exploring the difficulties young people experience on the transition to secondary education. However, there has been little comparative research yielding insights into how these experiences vary by institutional context. This article explores differences in school transition difficulties among young people in…

In celebrating the 20th anniversary of the "International Journal of Educational Technology in Higher Education (IJETHE)," previously known as the "Revista de Universidad y Sociedad del Conocimiento (RUSC)," it is timely to reflect upon the shape and depth of educational technology research as it has appeared within the…

The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…

The use of infographics for presenting data in the media and on the Internet has become a widespread phenomenon. This study examines how well undergraduates interpret the mean when presented in infographic, their attitudes towards the misuse of statistics, and their perceptions of their knowledge and use of statistics. The infographic was intended…

Public data and accountability are key to an inclusive economic recovery. We need data on how different workers and businesses are faring in the recovery, so we can hold policymakers accountable to equitable outcomes for those most impacted. Disparities and inequities in skills training programs can only be eliminated if there is high-quality…

Annually, the Department of Education (Department) collects data from school districts across the state on disciplinary infractions and their consequences. These data are analyzed in a state-level report developed by the Department for the Governor and the Legislature to fulfill the requirements of the "Public School Safety Law N.J.S.A."…

Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field of autism research. The "Summary of Advances" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles nominated by…