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Investigating Student Perceptions Of The Effectiveness Of A First-Year Experience Online Program On Student Retention, Jennifer P. Bowman-Wilson
Investigating Student Perceptions Of The Effectiveness Of A First-Year Experience Online Program On Student Retention, Jennifer P. Bowman-Wilson
Theses and Dissertations
This applied dissertation is a mixed-methods study designed to collect student perspectives of an online First-Year Experience (FE) course and to determine the overall value of the FE course. The researcher sought to identify what is the value of the FE course to the students enrolled in this online course. In the study’s survey, students will be asked a series of questions designed to determine the overall value of the FE course. For this study, the online FE course survey addressed the following theme areas: Course Content, Overall Satisfaction, Transfer Perceptions, and the participants are the new incoming students (first-year …
A Predictive Modeling System: Early Identification Of Students At-Risk Enrolled In Online Learning Programs, Mary L. Fonti
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. …