Title
Why is big-O analysis hard?
Abstract
We are interested in increasing comprehension of how students understand big-O analysis. We conducted a qualitative analysis of interviews with two undergraduate students to identify sources of difficulty within the topic of big-O. This demonstrates the existence of various difficulties, which contribute to the sparse research on students' understanding of pedagogy. The students involved in the study have only minimal experience with big-O analysis, discussed within the first two introductory computer science courses. During these hour-long interviews, the students were asked to analyze code or a paragraph to find the runtime of the algorithm involved and invited students to write code that would in run a certain runtime. From these interactions, we conclude that students that have difficulties with big-O could be having trouble with the mathematical function used in the analysis and/or the techniques they used to solve the problem.
Year
DOI
Venue
2013
10.1145/2526968.2526996
Koli Calling
Keywords
Field
DocType
minimal experience,hour-long interview,undergraduate student,sparse research,various difficulty,introductory computer science course,mathematical function,qualitative analysis,certain runtime,big-o analysis,big o
Function (mathematics),Computer science,Paragraph,Pedagogy,Algorithmic complexity,Comprehension
Conference
Citations 
PageRank 
References 
1
0.38
2
Authors
2
Name
Order
Citations
PageRank
Miranda Parker1374.87
Colleen Lewis2112.07