Eye-tracking data for classification of geometric shapes
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking.How to develop and assess abstraction processes are longstanding methodical problems in mathematics education. Recently, the advent of eye tracking technology has spurred a discussion about whether eye movement analysis can support valid inferences about mathematical thinking. In this study, we investigated whether eye tracking can be used to infer whether a person uses abstraction to solve a geometric classification task. The participants were shown three exemplars of either triangles or quadrilaterals (task shapes) in different trials. They were then asked to select all the other shapes belonging to the same class from an array of six geometric shapes (response shapes) while we tracked their eye movements. Finally, we coded each trial by whet' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["abstraction","classification","conceptual thinking","eye tracking","geometry","strategies"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking.How to develop and assess abstraction processes are longstanding methodical problems in mathematics education. Recently, the advent of eye tracking technology has spurred a discussion about whether eye movement analysis can support valid inferences about mathematical thinking. In this study, we investigated whether eye tracking can be used to infer whether a person uses abstraction to solve a geometric classification task. The participants were shown three exemplars of either triangles or quadrilaterals (task shapes) in different trials. They were then asked to select all the other shapes belonging to the same class from an array of six geometric shapes (response shapes) while we tracked their eye movements. Finally, we coded each trial by whet' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking.How to develop and assess abstraction processes are longstanding methodical problems in mathematics education. Recently, the advent of eye tracking technology has spurred a discussion about whether eye movement analysis can support valid inferences about mathematical thinking. In this study, we investigated whether eye tracking can be used to infer whether a person uses abstraction to solve a geometric classification task. The participants were shown three exemplars of either triangles or quadrilaterals (task shapes) in different trials. They were then asked to select all the other shapes belonging to the same class from an array of six geometric shapes (response shapes) while we tracked their eye movements. Finally, we coded each trial by whet
abstraction; classification; conceptual thinking; eye tracking; geometry; strategies