Whether machine learning algorithms effectively predict college students' course outcomes using learning management system data is unknown. Identifying students who will have a poor outcome can help institutions plan future budgets and allocate resources to create interventions for underachieving students. Therefore, knowing the effectiveness of…

This dissertation in practice investigated and addressed the issue of low faculty engagement with instructional design support (IDS) office support services at a regional comprehensive university in the United States. The Performance Improvement/Human Performance Technology (PI/HPT) model used in this study is a practitioner-based performance…

In this dissertation, we propose a computer-supported method, called insightful learning systems, for tracking student progress that yields human actionable insights. We cover our theories, experiments and applications that aim to pave the way for more effective understanding of student progress, in key skills for a course, by looking at students…

Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

Online learning continues to grow at unprecedented rates. K-12 had more than 275,000 students enrolled in full-time virtual schools in 2011--2012 and over 2 million participating in at least one online course. Despite this growth, there is little research on model formation and model validation for online learning. Two research-based models were…

Using a learning management system (LMS) to deliver robust content for K-12 students became an essential part of the discussion of technology's place in K-12 education when teachers were forced to teach online at the start of the COVID-19 pandemic. Teachers used an LMS to deliver content in various ways and as part of different instructional…

The goal of learning analytics is to optimize learning and the environments in which it occurs. Since 2011, when learning analytics was defined as a separate and distinct area of academic inquiry, the literature has identified a need for research that presents evidence of effective learning analytics, as well as, learning analytics research that…