This study attempts to predict secondary school students' performance in English and Mathematics subjects using data mining (DM) techniques. It aims to provide insights into predictors of students' performance in English and Mathematics, characteristics of students with different levels of performance, the most effective DM technique for students'…

The increased accessibility of technology is often employed as rationale for data extraction and surveillance. This paper examines critical perspectives on surveillance and educational technologies from Library and Information Science (LIS) literature, as well as those from disability studies that concern technology development more broadly. This…

Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…

The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…

This collection focuses on the role of higher education institutions concerning datafication as a complex phenomenon. It explores how the universities can develop data literac(ies) shaping tomorrow skills and "formae mentis" to face the most deleterious effects of datafication, but also to engage in creative and constructive ways with…

Despite the growing demand and availability of non-degree workforce training, outcomes for these programs are mixed. For some, non-degree programs are a faster, more affordable pathway to a good job, and, more importantly, a career that offers economic security--they represent the future of education. But for others, non-degree programs are a…

The American College Personnel Association recognized the increased prominence of digital technologies in student affairs work, developing a technology competency area that includes foundational, intermediate, and advanced objectives for data use. However, as the role of technology use in student affairs practice rapidly changes, it is…

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…

This playbook provides ways in which Career & Technical Education (CTE) Directors and their teams can blur the lines between high school, postsecondary education, and the workforce. CTE Directors can play a significant role to Raise the Bar for student success by developing an "education-to-workforce system" that focuses on Unlocking…

Data infrastructures are suffused with stories of their past, present, and future that govern their use. This article draws on research into 'OneSchool', the state schooling data infrastructure used to manage student data in Queensland, Australia. The political, social, and technical histories of OneSchool's development are shown to govern its…

The higher education sector is under increasing pressure to deliver more and to evidence the fruits of its contribution to society. There is a particular focus on the enhanced engagement of students in order to maximise success, and for this engagement to be achieved equitably across the student body, regardless of demographic backgrounds. This…

The role of faculty in gathering, analyzing and using student learning data is growing and changing, but still underrepresented in the higher education research literature. While faculty are often expected and required to participate in assessment work, some faculty go beyond assessment work as service to take leadership roles. Using data…

Students who have graduated from high schools across the EU member states can choose from a wide variety of study programs and universities at which to pursue their degree studies. Each combination of a university and study program is unique, which further complicates student choice. Lack of information transparency regarding the unique…

The "on-time" degree completion crisis within the community college system is alarming. Only 5% of students graduate in two years (Complete College America [CCA], n.d.-a). Many community college students are low-income and racially and ethnically minoritized, and their graduation rates are low (CCA, n.d.-a). Community colleges around the…

The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…