Researchers have been interested in classifying massive open online course (MOOC) students based on their learning behaviors. However, less attention has been paid to the cognitive attributes associated with various learning behaviors. In this study, we propose a conceptual model that links MOOC students' observable learning behaviors to their…

Prior to the COVID-19 pandemic, Computer Science and STEM-related fields were among the most resistant to online courses. This is because of a perception of the need for more hands-on instruction with labs, clinicals, field studies, etc. Additionally, many STEM students had perceptions based on limited experience of an online STEM course.…

The number of online courses in higher education is on the rise. However, empirical evidence elucidating best practices for synchronous online instruction is needed to best implement these courses. The research purposes were to examine synchronous online class sessions to (1) quantify interaction type, frequency, and rate, (2) quantify student…

The Digital Archival Advertisements Survey Process (DAASP) model is a collaborative active learning exercise designed to aid students in evaluating primary source documents of print-based advertisements. By deploying DAASP, the researchers were able to assess the students' ability to evaluate their biases of the advertisements in a first-year…