"Research Findings:" Digital leadership as an urgent and emerging topic has attracted public attention, but its nature, definition, and constructs have not been thoroughly explored for the Chinese culture. This study uses a grounded theory approach to examine how Chinese principles are utilized at "Model Level" preschools to…

What guidance does research provide about how to improve school district performance in the United States? Despite over 30 years of inquiry on the topic of effective districts, existing frameworks are relatively narrow in terms of disciplinary focus (primarily educational leadership perspectives) and research design (primarily qualitative case…

In this paper, we ponder the ecologies of spacetimematterings folded into resistance practices and their relationality with figurations of agency outside and beyond datafication agendas. Accountability cultures bound up with datafication have consequences that include a diminished agency for both children and educators. We take inspiration from…

Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…

In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…

While utilizing assessment data has been a pervasive practice in educational reform for decades, and teachers are expected to use assessment data to improve instruction, little is known about how the practice of requiring teachers to review test data affects their perception of effectiveness in addressing the learning gaps of student groups. This…

Purpose: This article advocates that privacy literacy research and praxis mobilize people toward changing the technological and social conditions that discipline subjects toward advancing institutional, rather than community, goals. Design/methodology/approach: This article analyzes theory and prior work on datafication, privacy, data literacy,…

Shifts in the education system to more student-centered learning will require state and local education agencies to rethink how they do their work. Current accountability systems focus on compliance with standards, as demonstrated in annual summative assessments. Mark Elgart explains that a new approach to accountability will offer more authentic…

Purpose: An evidence-based approach to improving instructional practices and student outcomes in data use. It is a systematic process of evaluating and analysing learning problems, collecting and transforming various types of data into instructional decisions, and implementing informed actions to improve instruction and student learning. Since…

This study explores the dynamics of student interaction networks within an online asynchronous discussion forum, focusing on both whole group discussions and subgroup interactions distinguished by the Louvain algorithm, a renowned community detection method. Analyzing 2481 posts from 154 undergraduate students across three sections of a…

The U.S. education system is facing severe challenges, including student learning loss, declining academic performance, a youth mental health crisis, and increasing absenteeism. Yet these challenges also provide a catalyst for transformational change. But a new paradigm for education cannot be done without the support for transformative school…

This brief presents select findings from the "Conversion of Enrollment Slots from Head Start to Early Head Start (HS2EHS) Case Studies," six case studies of grant recipients that converted enrollment slots from Head Start to Early Head Start in 2021. This brief focuses on "developing the application to convert enrollment…

This guide provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. (This guide uses the term "state and local" to refer to all of these levels.) Collecting and analyzing qualitative and quantitative…

Enhancing special educators' data literacy is critical to informing instructional decision-making, especially for students with learning disabilities. One tool special educators commonly use is curriculum-based measurement (CBM). These data are displayed on time-series graphs, and student responsiveness is evaluated. Graph construction varies and…

Current literature exists centered on Multi-Tiered Systems of Support (MTSS) framework, its components, and ways in which MTSS is intended to support all students. Yet, there is a gap in the literature that examines how elementary schools are implementing it. This dissertation study sought to understand what the MTSS framework implementation at…