Work in progress - using the Kolbe conative index for improving retention of computer science students

A large number of students who begin the computer science program at California State University, Northridge never finish. Although many students who leave the computer science program eventually graduate in other fields, the high number of drop outs is of concern. Previous studies have shown that computer science students nearing graduation tend to have common characteristics as measured by the Kolbe A™ index. These studies also indicate that changes in instructional techniques could have positive effects with respect to retention. The position here is that many students who could benefit from the computer science program, and who could in turn benefit the field, are being discouraged from continuing. In the current study, the Kolbe results of all students entering the computer science program are used to suggest improvements in advisement and recommend changes in the learning environment to improve student retention.