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Predictors for success in a discrete math course
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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
Lisa Jamba-Joyner  University of North Florida, Jacksonville, Florida
William F. Klostermeyer  University of North Florida, Jacksonville, Florida
Publisher
ACM  New York, NY, USA
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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.

 
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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.
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E. Newman (1994), "Predicting Grades in Basic Algebra," AMATYC Review, vol. 15, pp. 47--53
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Collaborative Colleagues:
Lisa Jamba-Joyner: colleagues
William F. Klostermeyer: colleagues

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