Cognitive Load for Configuration Comprehension in Computer-Supported Geometry Problem Solving: An Eye Movement Perspective
IJSME Volume 12, Number 3, ISSN 1571-0068
The present study investigated (a) whether the perceived cognitive load was different when geometry problems with various levels of configuration comprehension were solved and (b) whether eye movements in comprehending geometry problems showed sources of cognitive loads. In the first investigation, three characteristics of geometry configurations involving the number of informational elements, the number of element interactivities and the level of mental operations were assumed to account for the increasing difficulty. A sample of 311 9th grade students solved five geometry problems that required knowledge of similar triangles in a computer-supported environment. In the second experiment, 63 participants solved the same problems and eye movements were recorded. The results indicated that (1) the five problems differed in pass rate and in self-reported cognitive load; (2) because the successful solvers were very swift in pattern recognition and visual integration, their fixation did not clearly show valuable information; (3) more attention and more time (shown by the heat maps, dwell time and fixation counts) were given to read the more difficult configurations than to the intermediate or easier configurations; and (4) in addition to number of elements and element interactivities, the level of mental operations accounts for the major cognitive load sources of configuration comprehension. The results derived some implications for design principles of geometry diagrams in secondary school mathematics textbooks.
Lin, J.J.H. & Lin, S.S.J. (2014). Cognitive Load for Configuration Comprehension in Computer-Supported Geometry Problem Solving: An Eye Movement Perspective. International Journal of Science and Mathematics Education, 12(3), 605-627.
- Cognitive Processes
- Computer Assisted Instruction
- Concept Formation
- Difficulty Level
- Eye Movements
- Geometric Concepts
- Grade 9
- Mathematics Instruction
- Pattern Recognition
- problem solving
- Secondary School Mathematics
- Secondary School Students
- Time Factors (Learning)
- Visual Perception
Cited ByView References & Citations Map
Asma Ben Khedher & Claude Frasson, University of Montreal, Canada
EdMedia + Innovate Learning 2016 (Jun 28, 2016) pp. 1504–1511
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