Learning Analytics (LA) has had a growing interest by academics, researchers, and administrators motivated by the use of data to identify and intervene with students at risk of underperformance or discontinuation. Typically, faculty leadership and advisors use data sources hosted on different institutional databases to advise their students for…

This work focuses on simulation, design, development, and evaluation of a visual Learning Analytics (LA) tool -- Real-time Educational AI-powered Classroom Tool (REACT) -- to support educators' data-driven decision-making. The educational institutions face one of the biggest challenges, such as predicting student performance, detecting undesirable…

The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students' trends of activities towards success and risk and design intervention methods to improve learning performance and experience. However, many factors contribute to the challenge of designing and building effective…

The increased reliance on Big Data Analytics (BDA) in society, politics, policy, and industry has catalyzed conversations related to the need for promoting ethical reasoning and decision-making in the mathematical sciences. While the majority of professional data scientists today come from privileged positions in society, those processed by the…

This action research project aimed to introduce and examine the impact of Professional Learning Communities (PLCs), the Meeting Wise Process, and the Data Wise Process on teaching practices at a Chinese middle school. PLCs, a collaborative model for continuous professional development, have been widely adopted in various educational contexts but…

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…

Higher education institutions are facing growing pressure to improve retention and graduation rates. Academic analytics has emerged as a strategy to address the completion issue. Because academic advisors are integral in providing successful student success initiatives and they often maintain relationships with students throughout their entire…

This research was a mixed-methods study investigating how teachers in northeastern West Virginia use student data to drive their instructional decisions. This study also investigated teachers' perceptions of the data use on their instruction, their students, and themselves. Data collection for this research included both a cross-sectional survey…

Since culturally relevant teaching was first introduced by Ladson-Billings in 1994, American schools have become even more racially and ethnically diverse, and post-COVID revealed a wider performance gap between Black and Hispanic students compared to White students. What is less clear is how culturally responsive school leaders are standing up…

This explanatory case study investigated why educators (teachers, administrators and support teachers) in a northeast charter school found it difficult to implement a data-driven decision-making (D3M) process. To comprehend where the breakdown in the process occurred, the researcher examined the cultural, technological and political barriers that…

Leadership strategies for school turnaround and how to prioritize improvement efforts seem to lack a clear pattern for leaders of failing schools. The purpose of this study was to determine successful leadership strategies and methods for school turnaround and how best to prioritize the efforts by surveying a panel of experts through a Delphi…

Leaders of education organizations must determine how to positively impact students, staff, and families while ensuring organizational strength. Innovative leaders and entrepreneurs seek to develop and roll out new ideas to dramatically advance students' achievement. However, the need to innovate does not supersede the need to execute on a core…