Classification of strategies for solving programming problems using Aol sequence analysis

Obaidellah, Unaizah Hanum and Raschke, Michael and Blascheck, Tanja (2019) Classification of strategies for solving programming problems using Aol sequence analysis. In: 11th ACM Symposium on Eye Tracking Research & Applications (ETRA 2019), 25-28 June 2019, Denver, Colorado, United States of America.

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This eye tracking study examines participants’ visual attention when solving algorithmic problems in the form of programming problems. The stimuli consisted of a problem statement, example output, and a set of multiple-choice questions regarding variables, data types, and operations needed to solve the programming problems. We recorded eye movements of students and performed an Area of Interest (AoI) sequence analysis to identify reading strategies in terms of participants’ performance and visual effort. Using classical eye tracking metrics and a visual AoI sequence analysis we identified two main groups of participants—effective and ineffective problem solvers. This indicates that diversity of participants’ mental schemas leads to a difference in their performance. Therefore, identifying how participants’ reading behavior varies at a finer level of granularity warrants further investigation.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference paper
Uncontrolled Keywords: Eye tracking; visual analytics; reading strategies; programming problems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Mr. Mohd Safri
Date Deposited: 16 Dec 2019 05:51
Last Modified: 16 Dec 2019 05:51

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