In this paper we argue that simply identifying gateway courses in which a large number of students fail or withdraw and focusing attention on them is not the best use of limited resources. No matter what we do, there will always be courses with high D/F/W rates simply because of the nature of their content and the preparation of the students who must take them. However, some gateway courses defy expectations and produce fewer DFWs than predicted while others produce more. Moreover, the timing of course taking can make a difference between success or failure for particular types of students, and failing or withdrawing from a course does not always lead to stopping out. In this paper we use examples from our work with the analyses of student records to show how one can use student type and point in their academic life to predict success in particular gateway courses. Relating predictions to observed DFW rates can highlight courses exceeding expectations and those which fall below them, and support a more nuanced understanding where attention is needed.
Improvement in undergraduate retention and progression is a priority at many US postsecondary institutions and there seems to be a growing movement to address it by identifying gateway courses (foundational courses in which a large number of students fail or withdraw) and concentrating on “fixing” them. This paper argues that may not be the best use of limited resources. No matter what we do, there will always be courses with high DFW rates simply because of the nature of their content and the preparation of the students who must take them. Our research suggests that student type and academic stage affect student success and that gateway courses (courses which block student progression) can be found at all undergraduate levels. Specifically, we have found that one can use student type, academic stage, cumulative GPA, and prior withdrawals to predict success in undergraduate courses. Moreover, relating predictions to observed DFW rates can highlight courses exceeding expectations, and those which fall below them, to support a more nuanced understanding of where and what attention is needed. We illustrate the utility of such approach by examining issues surrounding success in online courses at our institution.
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