Using the Kolbe A™ Conative Index to Study the Retention of Computer Science Students

Abstract

Recent studies at California State University, Northridge using the Kolbe Atrade index have shown differences in conative profiles between computer science students near graduation and those just entering the program. Since conation, or a person's inherent talent or natural way of doing things, relates to how a student approaches learning, it may provide clues as to why some students quit the program prior to graduation. The Kolbe instrument used in this study is a tool for measuring conative talents. It has been widely used in industry to aid in management activities and assist in the formation of effective teams. Its use in education has been limited, but it has potential for providing insight regarding differences in student learning and in understanding issues related to student retention. For example, one recent study showed a significantly higher implementor conative instinct among entering students than existed among graduating students. This suggests that some students with strong implementor talents may have dropped out of the program, possibly because they were not given sufficient opportunity to engage in hands on activities. It may be that some students are discouraged from continuing in the major because they find the learning environment incompatible with the natural ways they approach learning