It is essential to save lives during emergencies not only in hospitals but also in colleges and universities. Failure to identify risks and take prompt action during catastrophes and emergency situations could result in the loss of life and property for the campus community. This research aims to explore the feasibility of using data analytics to…

The collection of student data through screening and progress monitoring of social and emotional learning (SEL) skills is just as important as the implementation of curriculum and practices. Monitoring skill acquisition allows teachers to identify effective practices, provide intervention, and intensify support for students who need it. In this…

Undergraduate research experiences are key to preparing STEM students for a range of careers and graduate programs, and to impacting retention in STEM. Providing undergraduate research experiences can be challenging for institutions due to the high cost associated with equipment and reagents, lab space, and research mentors. In this study, we…

Business schools frequently utilize AACSB's Salary Survey ("Staff Compensation and Demographic Survey," or the "SCDS Report") to benchmark salaries being offered by other schools. While providing averages based on a national sample, the "SCDS Report" obscures differences that might exist in salary averages between…

There have been substantial advances in the development of states' education data systems over the past 20 years, supported by large investments from the federal government. However, the availability of modern data systems has not translated into meaningful improvements in how consequential state policies, such as funding and accountability…

The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…

Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…

Assessment professionals are often at the helm of leading discussions around data-use and data-driven decisions for higher education stakeholders. However, the problem is that assessment practitioners must be cognizant of how to engage stakeholders with equity-minded and socially just informed assessment practices. The purpose of this article is…

This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

The use of information and communication technology-based data systems to support teachers in data-driven decision-making (DDDM) remains limited. Despite the growing number of data systems available, their uptake remains limited, and there is a limited understanding of what data system characteristics increase and factors that influence teacher…

Research has shown that ninth grade is uniquely important for student success, yet despite increased investments, leaders aren't always equipped to meet ninth graders' distinct needs. The transition from middle to high school is both critical and complex, as students encounter significant changes during this time, including taking on more advanced…

This paper reports results from an Australian study into how teachers see features of quality in student work and connect these to next-step teaching. Data were drawn from a national 3 year project investigating teacher judgement using A-E standards. The project developed scaled exemplars of authentic student written performance assessments to…

This study sought to determine whether there was a statistically significant correlation between school board behaviors and characteristics, and a superintendent's use of a transformational leadership model. The study was grounded in four research questions: Is there a statistically significant correlation between board behaviors and…

In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…

People need access to data to make decisions about post-high school experiences, including postsecondary education. Policymakers need to better understand how financial circumstances relate to college enrollment and completion. And students and their families need information about how much financial aid they may have access to for financing their…