Using student performance predictions in a computer science curriculum

ITiCSE06 - Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education

Volumn 2006, Issue , 2006, Pages 260-264

  Chamillard, A T ^a  

^a University of Colorado at Colorado Springs   (United States)

Author keywords

Computer science curriculum; Performance prediction; Predictive modeling; Student performance

Indexed keywords

COMPUTER SCIENCE CURRICULA; PERFORMANCE PREDICTION; PREDICTIVE MODELING; STUDENT PERFORMANCE;

CURRICULA; ENGINEERING EDUCATION; STATISTICAL METHODS; STUDENTS; TEACHING;

COMPUTER SCIENCE;

EID: 33748965717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. ACM/IEEE-CS Joint Curriculum Task Force. Computing Curricula 1991. ACM Press, New York, NY, 1991.
2. Butcher, D.F., and Muth, W.A. Predicting performance in an introductory computer science course. Communications of the ACM, 28, 3 (Mar. 1985), 263-268.
3. th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2001), Canterbury, UK, 49-52.
4. Campbell, P.P., and McCabe, G.P. Predicting the success of freshmen in the computer science major. Communications of the ACM, 27, 11 (Nov. 1984), 1108-1113.
5. Chamillard, A.T., and Braun, K.A. The software engineering capstone: Structure and tradeoffs. In Proceedings of the 33 SIGCSE Technical Symposium on Computer Science Education, Northern Kentucky, KY, February 27-March 3, 2002, 227-231.
6. Draper, N.R., and Smith, H. Applied Regression Analysis. John Wiley & Sons, New York, NY, 1966.
7. Felder, R.M., Forrest, K.D., Baker-Ward, L., Dietz, E.J., and Mohr, P.H. A longitudinal study of engineering student performance and retention: I. Success and failure in the introductory course. Journal of Engineering Education, 82, (1993), 15-21.
8. Glorfeld, L.W., and Fowler, G.C. Validation of a model for predicting aptitude for introductory computing. In The Papers of the Thirteenth SIGCSE Technical Symposium on Computer Science Education, Indianapolis, IN, 1982, 140-143.
9. Montgomery, D.C., and Peck, E.A. Introduction to Linear Regression Analysis. John Wiley & Sons, New York, NY, 1982.
10. Taylor, H.G., and Mounfield, L.C. The effect of high school computer science, gender, and work on success in college computer science. In Proceedings of the Twentieth SIGCSE Technical Symposium on Computer Science Education, Louisville, KY, 1989, 195-198.
11. Thomas, E.W. Performance prediction and enhancement in an introductory physics course for engineers. Journal of Engineering Education, 82, (1993), 152-156.