Predicting performance in an introductory computer science course
Communications of the ACM
The psychology of computer programming
The psychology of computer programming
Math proficiency: a key to success for computer science students
Communications of the ACM
Predicting the success of freshmen in a computer science major
Communications of the ACM
Identifying potential to acquire programming skill
Communications of the ACM
Identifying predictors of programming skill
ACM SIGCSE Bulletin
Predicting student success in an introductory programming course
ACM SIGCSE Bulletin
Grade and ability predictions in an introductory programming course
ACM SIGCSE Bulletin
SIGCSE '83 Proceedings of the fourteenth SIGCSE technical symposium on Computer science education
Validation of a model for predicting aptitude for introductory computing
SIGCSE '82 Proceedings of the thirteenth SIGCSE technical symposium on Computer science education
SIGCSE '80 Proceedings of the eleventh SIGCSE technical symposium on Computer science education
The effect of high school computer science, gender, and work on success in college computer science
SIGCSE '89 Proceedings of the twentieth SIGCSE technical symposium on Computer science education
Gender imbalances in computer science at the University of the Witwatersrand
ACM SIGCSE Bulletin
Interacting factors that predict success and failure in a CS1 course
Working group reports from ITiCSE on Innovation and technology in computer science education
Programming: factors that influence success
Proceedings of the 36th SIGCSE technical symposium on Computer science education
The effects of individual differences on CS2 course performance across universities
Proceedings of the 36th SIGCSE technical symposium on Computer science education
Proceedings of the 36th SIGCSE technical symposium on Computer science education
NSPW '04 Proceedings of the 2004 workshop on New security paradigms
Using a groupware system in CS1 to engage introverted students
ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Personality types of IT professors
Proceedings of the 10th ACM conference on SIG-information technology education
Proceedings of the 42nd ACM technical symposium on Computer science education
On the software engineering aspects of educational intelligence
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Remediation and student success in CIS programs
Proceedings of the 45th ACM technical symposium on Computer science education
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This study investigated the relationship between the student's grade in a beginning computer science course and their sex, age, high school and college academic performance, number of mathematics courses, and work experience. Standard measures of cognitive development, cognitive style, and personality factors were also given to 58 students in three sections of the beginning Pascal programming class.Significant relationships were found between the letter grade and the students' college grades, the number of hours worked and the number of high school mathematics classes. Both the Group Embedded Figures Test (GEFT) and the measure of Piagetian intellectual development stages were also significantly correlated with grade in the course. There was no relationship between grade and the personality type, as measured by the Myers-Briggs Type Indicator (MBTI); however, an interesting and distinctive personality profile was evident.