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…

"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…

Educators globally are continually encouraged to use data to inform instructional improvement in schools, yet while there have been many recent innovations in data visualization and data science, educators are rarely included in dashboard co-design. On December 5 and 6, 2019, the Education Data Analytics Collaborative Workshop was held at Teachers…

With research as a guide, designing CTE programs that promote equity and help close the opportunity gap is achievable. This is the fifth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state agency staff, these modules are…

The problem addressed in this study is that the potential roles of an artificial intelligence-enhanced chatbot using big data in e-learning in higher education were not widely documented in the research community. The purpose of this qualitative case study was to explore the potential roles of an artificial intelligence-enhanced chatbot using big…

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…

The purpose of the present mixed methods study was to investigate if enhancing Focus on Form (FonF) tasks with data-driven learning (DDL) affects English as a Foreign Language (EFL) learners' task motivation from the self-determination theory (SDT) perspective. Following a quasi-experimental comparison group pretest-posttest and sequential…

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…

Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…

The metaverse is rapidly reshaping our understanding of education, yet identifying the public's beliefs, emotions and sentiments towards its adoption in education remains largely uncharted empirically. Grounded in the Technology Acceptance Model (TAM) and Digital Diffusion Theory (DOI), this paper aims to fill this gap using a big-data approach…

This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…

This article evaluates the applicability at the state and district level of web scraping--an automated data-extraction technique that regularly exports and refreshes data from the Internet--to provide a low-cost way to get a close-to-real-time snapshot of the demand side of the teacher labor market. Once set up, web scraping can quickly build and…

This paper explores the self-tracking information literacy practices of LGBTQ+ students, how the practices connect to LGBTQ+ identities, and whether these practices are perceived as empowering. Six semi-structured interviews were conducted with students who identified as LGBTQ+ self-trackers. Four previously discovered dimensions of IL in…

The What Works Clearinghouse (WWC) at the Institute of Education Sciences reviews rigorous research on educational practices, policies, programs, and products with a goal of identifying 'what works' and making that information accessible to the public. One critique of the WWC is the need to more closely examine 'what works' for whom, in which…

Promoting a high level of student engagement has been a goal for many teachers. Opportunities to respond (OTR) offer a low-cost instructional practice that allows teachers to improve student engagement in the classroom. In this study, we explored the potential effects of a data-driven coaching model on one elementary school teacher's…