Classification of strategies for solving programming problems using Aol sequence analysis
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...
| Principais autores: | , , |
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| Formato: | Conference or Workshop Item |
| Idioma: | English |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | http://eprints.um.edu.my/21851/1/Unizah%20Hanum%20Obaidellah%20-%20Conference%20paper.pdf |
| _version_ | 1825721763357523968 |
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| author | Obaidellah, Unaizah Hanum Raschke, Michael Blascheck, Tanja |
| author_facet | Obaidellah, Unaizah Hanum Raschke, Michael Blascheck, Tanja |
| author_sort | Obaidellah, Unaizah Hanum |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:55:18Z |
| format | Conference or Workshop Item |
| id | um.eprints-21851 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:55:18Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | um.eprints-218512019-12-16T05:51:55Z http://eprints.um.edu.my/21851/ Classification of strategies for solving programming problems using Aol sequence analysis Obaidellah, Unaizah Hanum Raschke, Michael Blascheck, Tanja QA75 Electronic computers. Computer science 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. 2019-08-07 Conference or Workshop Item PeerReviewed text en http://eprints.um.edu.my/21851/1/Unizah%20Hanum%20Obaidellah%20-%20Conference%20paper.pdf 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. http://delivery.acm.org/10.1145/3320000/3319825/a15-obaidellah.pdf?ip=103.18.0.20&id=3319825&acc=ACTIVE%20SERVICE&key=69AF3716A20387ED%2EE7759EC8BE158239%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1576475728_a8b89cdd0a510c58edcfb8a2cea063b7 |
| spellingShingle | QA75 Electronic computers. Computer science Obaidellah, Unaizah Hanum Raschke, Michael Blascheck, Tanja Classification of strategies for solving programming problems using Aol sequence analysis |
| title | Classification of strategies for solving programming problems using Aol sequence analysis |
| title_full | Classification of strategies for solving programming problems using Aol sequence analysis |
| title_fullStr | Classification of strategies for solving programming problems using Aol sequence analysis |
| title_full_unstemmed | Classification of strategies for solving programming problems using Aol sequence analysis |
| title_short | Classification of strategies for solving programming problems using Aol sequence analysis |
| title_sort | classification of strategies for solving programming problems using aol sequence analysis |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.um.edu.my/21851/1/Unizah%20Hanum%20Obaidellah%20-%20Conference%20paper.pdf |
| work_keys_str_mv | AT obaidellahunaizahhanum classificationofstrategiesforsolvingprogrammingproblemsusingaolsequenceanalysis AT raschkemichael classificationofstrategiesforsolvingprogrammingproblemsusingaolsequenceanalysis AT blaschecktanja classificationofstrategiesforsolvingprogrammingproblemsusingaolsequenceanalysis |