Predicting performance in an introductory computer science course
Communications of the ACM
Can we improve teaching in computer science by looking at how English Is Taugh?
Proceedings of the 2nd Australasian conference on Computer science education
A fundamentals-based curriculum for first year computer science
Proceedings of the thirty-first SIGCSE technical symposium on Computer science education
Factors affecting performance in first-year computing
ACM SIGCSE Bulletin
Predicting the success of freshmen in a computer science major
Communications of the ACM
Screening freshmen computer science majors
ACM SIGCSE Bulletin
Handbook of Parametric and Nonparametric Statistical Procedures
Handbook of Parametric and Nonparametric Statistical Procedures
Abstraction ability as an indicator of success for learning computing science?
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
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We describe the first part of a study investigating the usefulness of high school language results as a predictor of success in first year computer science courses at a university where students have widely varying English language skills. Our results indicate that contrary to the generally accepted view that achievement in high school mathematics courses is the best individual predictor of success in undergraduate computer science, success in English at the first-language level in high school correlates better with actual performance. We discuss the implications of this for universities whose medium of teaching is English, operating in social contexts where many students are not native English speakers.