The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…

Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…

The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…

Background/Context: Amidst the complex and fast-paced demands in schools and classrooms, identifying what most deserves educators' attention can pose a challenge. Indicators help focus attention by highlighting key features that signal important outcomes or opportunities to take action or learn. Purpose: Informed by multiple literatures, we offer…

This action research study investigates the role of Data-Based Decision-Making (DBDM) in increasing academic outcomes within a charter school network. During Cycle 1, interviews and focus groups with teachers, interventionists, and school deans shed light on critical themes, including leadership, data collection, analytic capacity, and a culture…

Schooling experiences for Black students in the US have been shaped historically by anti-education laws, mandates, and initiatives that sustain unjust systemic practices and policies. These practices and policies often stagnate academic progress and have led to institutional deficits and the normalization of deficit-orientations towards students…

Degree completion rates have recently dominated national debates regarding the value of higher education (Gagliardi et al., 2018). Inherent in this debate is the issue of how to utilize institutional data to evaluate student performance (Hubbard et al., 2020). This process, known as data-driven decision-making (DDDM), has been studied at four-year…

First-Year Engineering (FYE) programs are a critical part of engineering education, yet they are quite complex settings. Given the importance and complexity of FYE programs, research to better understand student learning and inform design and assessment in FYE programs is imperative. Therefore, this dissertation showcases various uses of data…

Discussion of the effectiveness of distance learning as a means of delivering higher education programs at classical universities has been ongoing for the past decade. The article presents the findings of a study of changes in academic performance of university students, covering the period from fall 2018 to fall 2023. This period included a rapid…

Public choice schools emphasizing inquiry and innovation offer a unique alternative to traditional schools. Research indicates the effectiveness of Professional Learning Communities (PLCs) for positive outcomes. The purpose of this study was to investigate teacher and administrator perceptions of the impact of PLCs on teacher efficacy, balancing…

The papers in the special series describe the role of data-based decision-making (DBDM) in improving the outcomes of students with learning disabilities based on research across Germany, the Netherlands, and the United States. The articles address multiple aspects of a model of DBDM that includes the role of teacher knowledge, skills, beliefs, and…

Informed by interviews with campus administrators and Northern Arizona University (NAU) students, the "Student Success is the DNA of NAU" case study outlines strategies this public, four-year, Hispanic-Serving Institution (HSI) is employing to build NAU into an engine of opportunity for students and the communities they represent. The…

Research focusing on school climate has shown that healthy, safe, and positive school environments are associated with improved psychological, social, behavioral, and academic outcomes for secondary students. For this reason, it is important for schools to understand how to improve perceptions of school climate through effective, evidence-based…

With national graduation rates that range from 32% among open enrollment institutions to 66% among private not-for-profits, higher education institutions have a moral imperative to improve the success of their students. Interventions to support today's students must consider the student holistically, be just-in-time, and come from a…

E3 Alliance is a regional, data-driven education collaborative based in Austin, Texas. Founded in 2006, E3 Alliance acts as a catalyst for change, working to break down barriers and build better alignment across the education continuum. In pursuit of systemic change, E3 Alliance is guided by "The Blueprint for Educational Change,"…