Personality types, learning styles, and an agile approach to software engineering education
Proceedings of the 37th SIGCSE technical symposium on Computer science education
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Abstraction ability as an indicator of success for learning computing science?
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
Learning styles: novices decide
ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Also "your" job to learn!: helping students to reflect on their learning progress
Journal of Computing Sciences in Colleges
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An introductory course in computer science (CS1) is required of virtually all engineering majors at the University of Minnesota Duluth. From 2001-present an extensive battery of visualization software was developed for this course. Students consistently ranked the visualization software as more important to their learning than any other element of the course. However, these rankings were not highly correlated with actual outcomes. This study of learning style determined that reflective and verbal learners outperformed active and visual ones. Student opinions of the value of programming projects and lectures rank highest and seem to cut across learning style preference. Background familiarity with computers and software was not a strong correlate, although involvement in computer and video gaming was found to be negatively correlated with course success.