Predicting student performance in a beginning computer science class
SIGCSE '86 Proceedings of the seventeenth SIGCSE technical symposium on Computer science education
Predicting success of a beginning computer course using logistic regression (abstract only)
CSC '87 Proceedings of the 15th annual conference on Computer Science
Factors affecting performance in first-year computing
ACM SIGCSE Bulletin
Contributing to success in an introductory computer science course: a study of twelve factors
Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education
SIGCSE '83 Proceedings of the fourteenth SIGCSE technical symposium on Computer science education
Predicting success in a first programming course
SIGCSE '82 Proceedings of the thirteenth SIGCSE technical symposium on Computer science education
The behavioral styles of computer programmers
SIGCPR '70 Proceedings of the eighth annual SIGCPR conference
Perspectives on testing for programming aptitude
ACM '71 Proceedings of the 1971 26th annual conference
Selection and evaluation of computer personnel- the research history of SIG/CPR
ACM '68 Proceedings of the 1968 23rd ACM national conference
Predictors of success and failure in a CS1 course
ACM SIGCSE Bulletin
Predictors For success in studying CS
Proceedings of the 35th SIGCSE technical symposium on Computer science education
Wanted: CS1 students. no experience required
Proceedings of the 35th SIGCSE technical symposium on Computer science education
What do teachers teach in introductory programming?
Proceedings of the second international workshop on Computing education research
Commonsense computing: what students know before we teach (episode 1: sorting)
Proceedings of the second international workshop on Computing education research
Mental models and programming aptitude
Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education
Through the eyes of instructors: a phenomenographic investigation of student success
Proceedings of the third international workshop on Computing education research
Commonsense computing (episode 3): concurrency and concert tickets
Proceedings of the third international workshop on Computing education research
Abstraction ability as an indicator of success for learning computing science?
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
Journal of Computing Sciences in Colleges
Adaptation of team-based learning on a first term programming class
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
A proposal for a new communication medium in the classroom
Proceedings of the 15th Western Canadian Conference on Computing Education
Learning to Program with Personal Robots: Influences on Student Motivation
ACM Transactions on Computing Education (TOCE)
Proceedings of the ninth annual international conference on International computing education research
A mobile application for collaborative learning
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services companion
Predicting student exam's scores by analyzing social network data
AMT'12 Proceedings of the 8th international conference on Active Media Technology
A student perspective on prior experience in CS1
Proceeding of the 44th ACM technical symposium on Computer science education
Illustration of paradigm pluralism in computing education research
ACE '12 Proceedings of the Fourteenth Australasian Computing Education Conference - Volume 123
PREDICTION & WARNING: a method to improve student's performance
ACM SIGSOFT Software Engineering Notes
Improving problem solving performance in computer-based learning environments through subgoal labels
Proceedings of the first ACM conference on Learning @ scale conference
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The factors that contribute to success and failure in introductory programming courses continue to be a topic of lively debate, with recent conference panels and papers devoted to the subject (e.g. Rountree et al. 2004, Ventura et al., 2004, Gal-Ezer et al., 2003). Most work in this area has concentrated on the ability of single factors (e.g. gender, math background, etc.) to predict success, with the exception of Wilson et al. (2001), which used a general linear model to gauge the effect of combined factors. In Rountree et al. (2002) we presented the results of a survey of our introductory programming class that considered factors (such as student expectations of success, among other things) in isolation. In this paper, we reassess the data from that survey by using a decision tree classifier to identify combinations of factors that interact to predict success or failure more strongly than single, isolated factors.