The Fall 2023 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.

A recent study published in "Educational Researcher" by White (2023) examined superintendent gender gaps. This work required 4 years of internet searches to identify and match superintendent names with each of the roughly 13,000 school districts in the United States. Although this study provided important insights into the superintendent…

Over recent years, the sharing of personal data among students is uncontrolled, especially on the social media networks, resulting in widespread data intrusions that compromise their privacy and confidentiality. Against this backdrop, this study was conducted to identify the level of knowledge of personal data protection among students. This…

The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

The aim of this research was to know how widespread the activities were, and to what extent they were being implemented, in relation to data protection and digital sustainability in Primary Education schools. This study also analyzed whether teachers' age, gender and years of experience in the profession influenced the development of this type of…

The purpose of this paper is to explore 10-year trends in the use of Assistive Technology (AT). Using 2006 and 2015 Behavioral Risk Factor Surveillance System (BRFSS) data, univariate analysis were performed, and the rate of change was calculated. In both 2006 and 2015 data, a higher per cent of Blacks were using AT compared to Whites and…

The main purpose of this study was to compare delay discounting of hypothetical monetary outcomes by adolescents adjudicated of illegal behavior to that of college students in order to lay a foundation for future discounting work with adjudicated adolescents. It is important to note that we conducted this work during the COVID-19 pandemic, which…

The Fall 2024 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.

Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional…

The Conover Solution is a nonparametric method used to analyze relative growth in students' achievement on state tests administered on two or more occasions. However, there has been very little research assessing the robustness of this method in the presence of missing data. Using vertically scaled and non-vertically scaled data from the math…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

Longstanding inequities exist in community colleges across the United States. To address these inequities, California Community Colleges educators have engaged in a variety of practices including the writing of equity plans and participation in equity data inquiry. However, there is an urgent need for greater focus on racial equity and for more…

Many school systems ask teachers to assess and report upon aspects of student performance beyond academic achievement. In Ontario, K-12 teachers assess a common set of six Learning Skills and Work Habits. How well teachers are able to undertake these assessments is not well studied. This study examines Grade 9 and 12 report card data from two…

TIMSS and PIRLS assess representative samples of students at regular intervals, measuring trends in student achievement and student contexts for learning. Because individual students are not tracked over time, analysis of international large-scale assessment data is usually conducted cross-sectionally. Gustafsson (2007) proposed examining the data…

Data-driven decision making is part of our everyday lives. For example, we examine our children's immunization charts in order to indicate what vaccinations they have received, as well as what vaccinations are missing and expired. We use information, like a chart, to make decisions about what to do and what not to do. Data-driven decision making…