Evaluating student understanding of core concepts in computer architecture
Author(s) -
Leo Porter,
Saturnino Garcia,
HungWei Tseng,
Daniel Zingaro
Publication year - 2013
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2462476.2462490
Subject(s) - mathematics education , subject matter , computer science , architecture , curriculum , liberal arts education , subject (documents) , course (navigation) , core (optical fiber) , work (physics) , core curriculum , the arts , pedagogy , psychology , higher education , library science , engineering , visual arts , mechanical engineering , art , telecommunications , political science , law , aerospace engineering
Many studies have demonstrated that students tend to learn less than instructors expect in CS1. In light of these studies, a natural question is: to what extent do these results hold for subsequent, upper-division computer science courses? In this paper we describe our work in creating high-level concept questions for an upper-division computer architecture course. The questions were designed and agreed upon by subject-matter and teaching experts to measure desired minimum proficiency of students post-course. These questions were administered to four separate computer architecture courses at two different institutions: a large public university and a small liberal arts college. Our results show that students in these courses were indeed not learning as much as the instructors expected, performing poorly overall: the per-question average was only 56%, with many questions showing no statistically significant improvement from pre-course to post-course. While these results follow the trend from CS1 courses, they are still somewhat surprising given that the courses studied were taught using research-based pedagogy that is known to be effective across the CS curriculum. We discuss implications of our findings and offer possible future directions of this work.
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