Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

The article begins with a review of the shared metacognition construct and its function within the Community of Inquiry theoretical framework. The primary focus of the shared metacognition construct is the role of learners to take responsibility and control for monitoring and managing learning in a community of inquiry. Pragmatic challenges are…

Despite extensive studies surrounding the topic of interaction in online learning, faculty are often still relegated to an attempt at replicating their face-to-face course interactions in the online environment. Interpersonal interaction is a necessary yet nebulous concept in online learning. This paper attempts to build a quality lens to view…

We explore new tools and methods for learning designers and researchers to characterize pedagogical approaches that are applied to the design of MOOCs. This paper makes three main contributions to literature on MOOC design and evaluation: (1) an Expanded Assessing MOOC Pedagogies instrument for use by learning designers and researchers within…

The purpose of this study was to explore award-winning instructors' insights on elements of their course design that were award-winning and the differences between expert and novice online instructors. Interviews were conducted with eight award-winning online faculty members from across the United States who had received online teaching awards…