A fine-grained assessment on novice programmers' gaze patterns on pseudocode problems
Document Type
Conference Item
Publication Date
1-1-2020
Abstract
To better understand code comprehension and problem solving strategies, we conducted an eye tracking study that includes 51 undergraduate computer science students solving six pseudocode program comprehension tasks. Each task required students to order a sequence of pseudocode statements necessary to correctly solve a programming problem. We compare the viewing patterns of computer science students to evaluate changes in behavior while participants solve problems of varying difficulty. The intent is to find out if gaze patterns are similar prior to solving the task and if this pattern changes as the problems get more difficult. The findings show that as the difficulty increases regressions between areas of interest also tend to increase. Furthermore, an analysis of clusters of participants' common viewing patterns was performed to identify groups of participants' sharing similar gaze patterns prior to selecting their first choice of answer. Future work suggests an investigation on the relationship of these patterns with other background information (such as gender, age, English language proficiency, course completion) as well as performance (score, duration of task completion, competency level).
Keywords
Program comprehension, Eye tracking, Human-computer interface, Teaching/learning strategies, Improving classroom teaching, Programming education
Divisions
ai
Funders
RP030-14AET,RP061B-18SBS
Publisher
ASSOC COMPUTING MACHINERY
Publisher Location
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
Event Title
ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications
Event Location
Online
Event Dates
2 - 5 June 2020
Event Type
conference
Additional Information
ACM Symposium on Eye Tracking Research and Applications (ETRA), Online, June 02-05, 2020