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Full-Text Articles in Education
Using Academic And Learning Analytics To Explore Student Success In An Online Graduate Program In Communication, Megan N. Bergman
Using Academic And Learning Analytics To Explore Student Success In An Online Graduate Program In Communication, Megan N. Bergman
Open Access Theses
Fueled by the increase in data associated with the use of learning management systems, scholars and practitioners alike have been trying to explain and predict student success; yet the use of data analytic methods (academic and learning analytics) in higher education has created challenges and shortcomings for those who wish to adopt learning and academic analytics practices for their institution or program. Very little is known about either online education, particularly in the field of communication, as well as in online graduate and professional degree programs in any field from a learning and academic analytics perspective. This work reviews the …
A Standards-Based Grading Model To Predict Students' Success In A First-Year Engineering Course, Farshid Marbouti
A Standards-Based Grading Model To Predict Students' Success In A First-Year Engineering Course, Farshid Marbouti
Open Access Dissertations
Using predictive modeling methods, it is possible to identify at-risk students early in the semester and inform both the instructors and the students. While some universities have started to use standards-based grading, which has educational advantages over common score-based grading, at–risk prediction models have not been adapted to reap the benefits of standards-based grading. In this study, seven prediction models were compared to identify at-risk students in a course that used standards-based grading. When identifying at-risk students, it is important to minimize false negative (i.e., type II) errors while not increasing false positive (i.e., type I) errors significantly. To increase …