| Predictors for success in a discrete math course |
| Full text |
Pdf
(293 KB)
|
| Source
|
ACM SIGCSE Bulletin
archive
Volume 35 , Issue 2 (June 2003)
table of contents
COLUMN: Reviewed papers
table of contents
Pages: 66 - 69
Year of Publication: 2003
ISSN:0097-8418
|
|
Authors
|
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 6, Downloads (12 Months): 28, Citation Count: 1
|
|
|
ABSTRACT
Several factors, including grade-point average, math SAT scores, performance in calculus and programming courses, and results from a short pre-test were used in an effort to predict student grades a discrete mathematics course offered to computing science students. Two factors, SAT and average programming grade, were found to be significantly associated with the final grade for the discrete math course. Additionally, performance in the discrete math course was positively correlated with performance in the automata course required for computer science students.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
B. Bridgeman and C. Wendler (1989), "Prediction of Grades in College Mathematics Courses as a Component of the Placement Validity of SAT-Mathematics Scores," College Board Report, No. 89--9.
|
 |
2
|
|
| |
3
|
|
| |
4
|
E. Newman (1994), "Predicting Grades in Basic Algebra," AMATYC Review, vol. 15, pp. 47--53
|
 |
5
|
|
CITED BY
|
|
Sylvia Alexander , Martyn Clark , Ken Loose , June Amillo , Mats Daniels , Roger Boyle , Cary Laxer , Dermot Shinners-Kennedy, Case studies in admissions to and early performance in computer science degrees, ACM SIGCSE Bulletin, v.35 n.4, December 2003
|
|