Course correction: Using analytics to predict course success

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 259-262

  Barber, Rebecca ^a   Sharkey, Mike ^a  

^a Apollo Group   (United States)

Author keywords

higher education; learning analytics; predictive analytics; predictive modeling; retention

Indexed keywords

HIGHER EDUCATION; LEARNING ANALYTICS; PREDICTIVE ANALYTICS; PREDICTIVE MODELING; RETENTION;

STATISTICAL TESTS; STUDENTS;

INFORMATION MANAGEMENT;

EID: 84864685999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2330601.2330664     Document Type: Conference Paper

References (10)

1. Cohen, A. and Brawer, F. 2009. The American Community College. John Wiley and Sons, NY, ISBN: 9780470605486.
2. University of Phoenix, 2010 Academic Annual Report. http://www.phoenix. edu/about-us/publications/academic-annual-report/2010.html
3. Garman, G. 2010. A Logistic Approach to Predicting Student Success in Online Database Courses. American Journal of Business Education. 3(12), 1-5.
4. Moore, R. 2007. Do Students Performances and Behaviors in Supporting Courses Predict Their Performances and Behaviors in Primary Courses? Research and Teaching in Developmental Education. 23(2), 38-48.
5. Wang, A.Y. & Newlin, M.H. 2000. Characteristics of students who enroll and succeed in Psychology web-based classes. J. Educational Psychology. 92(1), 137-143.
6. Reisetter, M. & Boris, G. 2004. What works: student perceptions of effective elements in online learning. Quarterly Review of Distance Education. 5(4), 277-291.
7. Sadik, A. & Reisman, S. 2004. Design and implementation of a web-based learning environment: lessons learned. Quarterly Review of Distance Education. 5(3), 157-171.
8. Ramos, C. & Yudko, E. 2008. "Hits" (Not "Discussion Posts") Predict Student Success in Online Courses: A Double Cross-Validation Study. Computers & Education. 50(4), 1174-1182.
9. Martinez, D. 2001. Predicting student outcomes using discriminant function analysis. Paper presented at the 39th Annual Meeting of the Research and Planning Group, Lake Arrowhead CA.
10. Morris, L., Wu, S. & Finnegan, C., 2005. Predicting retention in online general education courses. American Journal of Distance Education. 19(1), 23-26.