Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…

Only weeks into its new term, the Trump administration has taken steps to lay off federally funded education research staff, cancel nearly $1 billion in contracts and dismantle the U.S. Department of Education. These moves have upended evaluations of federally funded education programs and threatened access to massive data sets that states,…

Using research evidence to guide higher education policies and practice may help to promote rich learning experiences and long-term success for all students. This essay explores paths for research on the use of research evidence in higher education and proposes three considerations for researchers engaging in this work. First, to improve the…

This dissertation discusses the relationship between teacher sensemaking, attributions, and instructional adjustments prompted in response to student performance data. Through this qualitative observation study, this paper explores the varying perspectives of teachers, including their level of assessment literacy, and the dynamics of their…

Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…

One of the most significant issues in education, as defined by the U.S. Department of Education Office of Accountability (2018), is disproportionality in exclusionary discipline. Disproportionality is defined as the over- and under-representation of racial/ethnic minorities in relation to their overall enrollment (Ahram et al., 2011). Currently,…

A national poll from the Data Quality Campaign (DQC), conducted by The Harris Poll, surveyed early childhood administrators--educational or child care professionals in program director or general manager roles serving children from birth through age four--to find out how they are collecting, using, and reporting data. Early childhood…

In current contexts of education, educators are tasked with using data, most often without any critical preparation to do so. In this way, data are presented as objective measures of student progress and participation in school without consideration of the systemic and structural influences on that progress and participation. This article reports…

The article describes a systematic review of 109 studies using the data-informed decision-making framework to understand the sources of assessment data and the main purposes for assessment use among early childhood educators. Findings revealed assessment use is driven by the purposes of measuring and monitoring children's learning and development,…

We report findings of this replication study, examining the internalizing subscale (SRSS-I4) of the revised version of the Student Risk Screening Scale for Internalizing and Externalizing behavior (SRSS-IE 9) and the internalizing subscale of the Teacher Report Form (TRF). Using the sample from 13 elementary schools across three U.S. states with…

How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? "Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World" helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability…

Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This U.S. study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for…

Background: Studies of socio-scientific decision-making in times of crisis are in their infancy. This study investigates how minoritized youth engage and make sense of newly developed COVID-19 vaccines and their intersections with the evolving multi-pandemic. Guided by theories of lively data, data sense and epistemic injustice, we center the…

Institutional researchers are acutely aware of the systemic inequities pervasive throughout higher education in the United States because the data that we collect, analyze, visualize, and disseminate quantifies and reveals them. As calls for addressing issues of equity have intensified across campuses, the question of how institutional research…

This study conducted a systematic literature review of articles on learning analytics published between 2004 and January 2024. A total of 1,064 articles, identified using the keyword "learning analytic*" in the Scopus database, were analyzed. The study integrated systematic literature review and bibliometric analysis approaches to…