Dynamic geometry software (DGS), especially GeoGebra, have been used in mathematics lessons around the world since it enables a dynamic learning environment. To date, there exist so many published researches about DGS, which leads to the need for meaningful organisation. This study aims to give a broad picture about researches related to DGS. For…

How do scientists generate and weight candidate queries for hypothesis testing, and how does learning from observations or experimental data impact query selection? Field sciences offer a compelling context to ask these questions because query selection and adaptation involves consideration of the spatiotemporal arrangement of data, and therefore…

Google is a multinational technology company whose massive advertising profits have allowed them to expand into many areas, including education. While the company has increasingly faced public scrutiny, the use of Google software and hardware in schools has often resulted in little debate. In this paper, we conduct a technoethical audit of Google…

When conceived of as both a research strategy and mode to present findings, vignettes can be combined with various qualitative methodologies in higher education research. Rather than being a discipline unto itself, higher education research is best understood as a multi and cross-disciplinary field of study that, we contend, is made richer by its…

Youth apprenticeship is a strategy for building a more inclusive economy by creating affordable, reliable, and equitable pathways from high school to good jobs and college degrees. As youth apprenticeship programs develop and expand across the U.S., it is critical that practitioners develop plans for capturing, analyzing, and leveraging data at…

Text Steps was a project piloted by Ascendium Education Group in 2015 and expanded to 13 school districts in Wisconsin between 2018 and 2020. Its goal was to combat summer melt through a texting program. Summer melt, in which college-intending high school students are unable to enroll in the fall for any number of reasons, is a well-documented…

In spring 2020, nearly all school districts across the nation transitioned to virtual education during extended school closures caused by the coronavirus disease (COVID-19) pandemic. K-12 education agencies pivoted to virtual education in a short amount of time with limited options available for developing a virtual education program. This…

Clients display considerable variations in functioning across the contexts that encompass their social environments (e.g., home, school/workplace, peer interactions). No single measurement method can fully capture these variations. Yet, assessors must balance the need to accurately capture clients' clinical presentations, and at the same time…

The Individuals with Disabilities Education Act (IDEA) requires states to monitor and enforce IDEA Part C and Part B requirements, with a primary focus on those requirements that are most closely related to improving results and functional outcomes for infants, toddlers, and children with disabilities. This guide describes the IDEA requirements…

Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…

At the local and state level, some data collection takes place around access to devices and broadband, but little alignment across these collections exists to paint an accurate picture of how and where digital equity gaps persist nationwide. Dell Technologies and the State Educational Technology Directors Association (SETDA) collaborated to assess…

"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…

Determining which students are at-risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of both research and practice in K-12 education. The models produced from this type of predictive modeling research are increasingly used by high schools in Early Warning…

This dissertation is composed of projects on three aspects of gathering and learning from data in the social sciences: drawing representative samples, taking valid measurement, and making warranted inductive inferences. Chapter one studies the challenge of drawing representative human samples. It is well documented that most samples used by…

Purpose: The purpose of this paper is to study, examine and apply lean management principles to the curriculum revision and internship placement process in an academic program at an institution of higher education. Design/methodology/approach: This paper consists of two sections. The first section reviews the literature on lean principles, lean…