Learning analytics are starting to become standardized in higher education as institutions use the techniques of Big Data analytics to make decisions to help them reach their goals. The widespread use of student information brings forth ethical concerns primarily in relation to privacy. While the overarching ethical issues related to learning…

Online courseware is an emerging educational technology that has the potential to reach students at scale. Designed with cognitive and learning science principles, courseware utilizes effective methods to maximize learning outcomes for students. Mindset (implicit theories of ability) and self-efficacy are two widely researched self-belief topics…

The Society for Learning Analytics Research (SoLAR) defines learning analytics as "the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs" (SoLAR, n.d.). To fully realize the potential of learning…

Educational Data Mining (EDM) is an emerging field that aims to better understand students' behavior patterns and learning environments by employing statistical and machine learning methods to analyze large repositories of educational data. Analysis of variable data in the early stages of a course might be used to develop a comprehensive…

This phenomenological study expands upon Bean and Metzner's (1985) A Conceptual Model of Nontraditional Student Attrition framework by introducing a new Academic Variable, Learning Analytics (LA), and identifying two specific Social Integration Variables (Sense of belonging; Microaggressions). LA was not a factor in 1985 when the original model…

The purpose of this study was to examine the predictive power of Academic and Learning Analytics models on the persistence, retention, and graduation rates for students enrolled in higher education institutions in the United States. Specifically, this study is concerned with the relationships between the present usage of Academic and Learning…

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…