The coming of Big Data is offered as a salve that will reduce global inequalities and grow national economies. The chapter pursues how notions of progress have traveled into schooling through technology and generate differences and exclusions in the past and present. The chapter explores how transnational school reforms during the colonial era…

One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…

The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…

During the course of undergraduate studies, physiology (and related STEM) majors should acquire a both broad and in-depth foundation in physiological knowledge along with a distinct range of transferable (professional) skills (e.g., critical thinking, communication skills, data analysis). Previously, through a consultative and iterative process…

A common theme in the literature on learning technologies is the way in which they can facilitate engagement both within and outside of the classroom. However, a lack of a scholarly consensus on what constitutes engagement renders problematic the issue of how one makes meaningful sense of the data presented in studies. This paper presents an…

The purpose of this paper was to review best-practice methods of collecting and analyzing speech production data from minimally verbal autistic speakers. Data on speech production data in minimally verbal individuals are valuable for a variety of purposes, including phenotyping, clinical assessment, and treatment monitoring. Both perceptual…

Objective: Persons with high-risk for severe COVID-19 illness require special attention when considering university operations during the novel coronavirus pandemic. The objective of this study was to determine the number of students who fall within a high-risk category according to Centers for Disease Control and Prevention (CDC) guidelines using…

Digital footprints (DF) offer relevant information about educational activities and processes related to strategies of academic assessment, identification of skills and psychological traits of students, and permanence and dropout trends, etc. This study analyzes scientific evidence on the use of DF in education, and shows the results of a…

This article presents a mathematical modeling activity for students related to the process of memorization in which students collect their own data to drive their model development, parameterization, and validation. Engaging in the data collection gives them insight to critique and evaluate various models. This task is a low-floor high ceiling…

Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…

College students complete end-of-term surveys during their undergraduate education to report on their experiences of curriculum, faculty, and overall course satisfaction. Significant decisions are based on these surveys' results, despite limited and potentially unrepresentative results. Low student response rates on digital, electronic course…

The purpose of this research project was to explore doctoral student learning and development as scholarly practitioners through one innovative method: a course-based self-study. This self-study empowered doctoral candidates in three key forms of data collection: 1) two project-based course assignments; 2) a survey on course-based student…

Current approaches to research in the field of Early Childhood Education and Care (ECEC), in particular in relation to methods designed to interrogate policy and practice developments, tend not to focus on gathering empirical data through collaborative networks. This article provides a critical reflection on a novel qualitative methodological…

Urban planning research usually requires researchers to undertake fieldwork. This fieldwork is frustrated or enabled by gatekeepers who can influence effective data collection. Traditionally, gatekeepers are perceived as monolithic, neutral, and static individuals, yet they are complex individuals with varying needs and expectations from the…

In both general chemistry and analytical chemistry courses, students are introduced to the concept of predominant species in solution when discussing acid/base chemistry. Speciation diagrams are often used to illustrate the concept and predict the relative abundance of species in solution. Herein, we describe a laboratory experiment for an…