Education Commons^™

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. …

Approaches For Developing A Model For Information And Communication Technology (Ict) Implementation In The Higher Education Environment, Thomas Edward Kurtz

CCE Theses and Dissertations

This dissertation investigates approaches for the development of an implementation model for ICT systems in the higher education environment. ICT systems have been implemented in various education settings, but have been narrowly focused in nature. There lacks a generalizable model to implement these systems in higher education settings. The research questions in this study sought to identify the criteria that can be used to develop and evaluate the implementation model.

The design science research methodology selected for this study used product criteria defined in a literature review to guide the development of the model. An expert panel consisting of administrators, …