Predicting student performance in a beginning computer science class
SIGCSE '86 Proceedings of the seventeenth SIGCSE technical symposium on Computer science education
What best predicts computer proficiency?
Communications of the ACM
Factors affecting performance in first-year computing
ACM SIGCSE Bulletin
Identifying potential to acquire programming skill
Communications of the ACM
A study of the impact of student background and preparedness on outcomes in CS I
Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education
A study to identify predictors of achievement in an introductory computer science course
SIGMIS CPR '03 Proceedings of the 2003 SIGMIS conference on Computer personnel research: Freedom in Philadelphia--leveraging differences and diversity in the IT workforce
Validation of a model for predicting aptitude for introductory computing
SIGCSE '82 Proceedings of the thirteenth SIGCSE technical symposium on Computer science education
Predictors of success and failure in a CS1 course
ACM SIGCSE Bulletin
On the origins of programmers: identifying predictors of success for an objects first cs1
On the origins of programmers: identifying predictors of success for an objects first cs1
An undergraduate course in object-oriented software design
FIE '98 Proceedings of the 28th Annual Frontiers in Education - Volume 01
Misunderstandings about object-oriented design: experiences using code reviews
Proceedings of the 39th SIGCSE technical symposium on Computer science education
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
ITiCSE 2010 working group report motivating our top students
Proceedings of the 2010 ITiCSE working group reports
Hi-index | 0.00 |
Research is presented that examined the effects of various measures of prior computer science experience and cognitive abilities on overall performance in a CS2 course. Participants selected from the CS2 course at two southeastern state universities were used within this study, resulting in a sample size of 161 (School A, n = 76; School B, n = 85). School A is a mid-sized comprehensive university and School B is a large research-intensive university.Self-reported data were collected on measures of experience in object-oriented processing, UNIX programming, web design, computing platforms, and various CS experience. Further, cognitive abilities measures of spatial orientation, visualization, logical reasoning, and flexibility were administered.The results show that the schools significantly differed on all measures of cognitive ability and most measures of prior computer science experience. The schools also differed on the extent to which these measures were related to overall course performance. The results suggest that, for school A, the cognitive ability visualization and the prior computer science experience measure of OO processing were significantly related to course performance. However, when examining school B, no measures were found significant.