In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…

A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…

Purpose: The engineering courses offered in Somali universities attract many students, ranging between 300 and 500 every semester, making the management and delivery of the course challenging. The increasing popularity of massive open online courses (MOOCs) has led to rapid growth in enrollment, posing difficulties in effectively managing and…

Learning analytics have proved promising capabilities and opportunities to many aspects of academic research and higher education studies. Data-driven insights can significantly contribute to provide solutions for curbing costs and improving education quality. This paper adopts a two-phase machine learning approach, which utilizes both…

Addressing teacher shortages has been a persistent concern among leaders in schools, districts, state education agencies, and the federal government. This report describes an approach to identifying patterns of teacher shortages that was collaboratively developed by the Missouri Department of Elementary and Secondary Education and the Regional…

As part of our research on the community college baccalaureate (CCB), we studied the prospects of adopting and scaling CCB degrees in Illinois, Indiana, Michigan, Minnesota, Ohio, and Wisconsin. Higher education leaders in these six Great Lakes states recognized the potential for CCB degrees to increase academic, geographic and financial access to…

This dissertation analyzes the ways that college applicants and college students navigate through higher education with a focus on ways to improve their experience. In the first chapter, I examine the ways that college applicants change their application and enrollment decisions when using the Common Application. In the second chapter, I highlight…

Higher education institutions are charged with creating one million more STEM professionals over the next decade, a 34% increase in undergraduate STEM degrees annually (PCAST 2012). Examining why college STEM courses manifest high attrition rates, interdependencies emerge that begin in early childhood education. Those of us in higher education…

Data and information are important components of school improvement. They show how schools are changing and how students are progressing. Providing and interpreting data is one of the critical functions of the Iowa Department of Education. The annual Condition of Education report provides valuable data about students, educators and school…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…