Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Cognitive Processes | 3 |
| Eye Movements | 3 |
| Protocol Analysis | 3 |
| College Students | 2 |
| Attention | 1 |
| Cognitive Ability | 1 |
| Computer Science Education | 1 |
| Computer Software | 1 |
| Content Analysis | 1 |
| Content Area Reading | 1 |
| Effect Size | 1 |
| More ▼ | |
Author
| Yang, Fang-Ying | 3 |
| Chang, Chia-Hu | 1 |
| Hou, Huei-Tse | 1 |
| Hou, Ting-Yun | 1 |
| Lai, Meng-Lung | 1 |
| Lin, Yu-Chih | 1 |
| Lin, Yu-Tzu | 1 |
| Liu, Wan-Yi | 1 |
| Tsai, Meng-Jung | 1 |
| Wu, Cheng-Chih | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 1 |
Audience
Location
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkYang, Fang-Ying – Journal of Research in Science Teaching, 2017
The main goal of this study was to investigate how readers' visual attention distribution during reading of conflicting science information is related to their scientific reasoning behavior. A total of 25 university students voluntarily participated in the study. They were given conflicting science information about earthquake predictions to read…
Descriptors: Eye Movements, Scientific and Technical Information, Thinking Skills, Seismology
Lin, Yu-Tzu; Wu, Cheng-Chih; Hou, Ting-Yun; Lin, Yu-Chih; Yang, Fang-Ying; Chang, Chia-Hu – IEEE Transactions on Education, 2016
This study explores students' cognitive processes while debugging programs by using an eye tracker. Students' eye movements during debugging were recorded by an eye tracker to investigate whether and how high- and low-performance students act differently during debugging. Thirty-eight computer science undergraduates were asked to debug two C…
Descriptors: Cognitive Processes, Programming, Computer Software, Computer Science Education
Tsai, Meng-Jung; Hou, Huei-Tse; Lai, Meng-Lung; Liu, Wan-Yi; Yang, Fang-Ying – Computers & Education, 2012
This study employed an eye-tracking technique to examine students' visual attention when solving a multiple-choice science problem. Six university students participated in a problem-solving task to predict occurrences of landslide hazards from four images representing four combinations of four factors. Participants' responses and visual attention…
Descriptors: Electronic Learning, Protocol Analysis, Attention, Problem Solving
