Open AccessEye Tracking Research on Solving Strategies of Students’ Geospatial Dimension Transformation
Author(s) -
Yitong Guo,
Yitong Guo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1961/1/012007
Subject(s) - geospatial analysis , dimension (graph theory) , landmark , task (project management) , transformation (genetics) , computer science , process (computing) , tracking (education) , point (geometry) , eye tracking , data science , artificial intelligence , geography , mathematics , cartography , engineering , psychology , systems engineering , pedagogy , biochemistry , chemistry , geometry , pure mathematics , gene , operating system
Geospatial dimension transformation is an important link with solving geospatial problems. Identifying the problem-solving strategies of geospatial dimension transformation and judging the difference between success rate of each strategy will help to improve the success rate of geospatial dimension transformation through strategic selection. The experimental task requires the subjects to select the actual landscape standing at a certain point on the map and looking at a certain angle. The research is based on heat maps and eye movement contrails of the subjects, and the research combined with the speech reports on the problem-solving process. The students’ strategies for solving the problem of geospatial dimension transformation are identified. It is found that there are three strategies: landmark, road and hybrid, among which the road strategy has the highest success rate in completing the task and solving the problem.