With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…

Personal information is among the most significant assets for businesses today, and clear transactional rules are becoming increasingly important. Organizations, including universities, are charged with more responsibility than ever to protect the personal information used during the course of their business, specifically student data. The paper…

This study focused on learning equity in colleges and universities where teaching and learning depends heavily on computer technologies. The study used the Structural Equation Modeling (SEM) to investigate gender and racial/ethnic heterogeneity in the use of a computer based course management system (CMS). Two latent variables (CMS usage and…

Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is…

Students, policymakers and institutions all need to have high quality data about how today's students access and pay for higher education--and what contributes to their success. But the data that are available now are woefully inadequate. We need to improve the national postsecondary data infrastructure The report thoroughly explores seven options…