Education Commons^™

Establishing Teaching Presence In Higher Education Online Mathematics Courses: A Phenomenological Study, Deltrye Eagle Holt

Theses and Dissertations

The purpose of this phenomenological study was to describe, based on the teaching presence component of the Community of Inquiry (CoI) theoretical framework, the lived experiences of mathematics instructors while establishing teaching presence in online higher education mathematics courses. Teaching presence, which is one of the three core elements of the community of inquiry (CoI) framework, is necessary for achieving learning outcomes and student satisfaction. The three main research questions were: 1. How do mathematics instructors establish teaching presence in online higher education mathematics courses? 2. How do mathematics instructors establish teaching presence in face-to-face higher education mathematics courses? 3. …

Applying The Component Display Theory To The Instructional Design And Development Of An Educational Mobile Application, Trelisa Glazatov

CCE Theses and Dissertations

Mobile technologies present an opportunity for scholars and practitioners to extend the application of instructional design theories and models to a mobile learning environment. The goal was to examine mobile learning design and development issues, validate and extend the instructional design theory, Component Display Theory (CDT), to the development of mobile learning activities, and recommend guiding principles for mobile learning system development.

Using a formative research approach, which focuses on improving design theory for instructional practices and processes, CDT was used to design a tutorial mobile application targeting faculty professional development. This design instance was formatively evaluated to determine how …

A Predictive Modeling System: Early Identification Of Students At-Risk Enrolled In Online Learning Programs, Mary L. Fonti

CCE Theses and Dissertations

Predictive statistical modeling shows promise in accurately predicting academic performance for students enrolled in online programs. This approach has proven effective in accurately identifying students who are at-risk enabling instructors to provide instructional intervention. While the potential benefits of statistical modeling is significant, implementations have proven to be complex, costly, and difficult to maintain. To address these issues, the purpose of this study is to develop a fully integrated, automated predictive modeling system (PMS) that is flexible, easy to use, and portable to identify students who are potentially at-risk for not succeeding in a course they are currently enrolled in. …