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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation
Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation
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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation
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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation
Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation

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Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation
Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation
Journal Article

Driving Factors in the Development of Eye Movement Patterns in Chinese Reading: The Roles of Linguistic Ability and Oculomotor Maturation

2025
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Overview
The mechanisms driving the development of eye movement patterns is an unresolved debate in children during reading, with three competing hypotheses: the oculomotor-tuning hypothesis, the linguistic-proficiency hypothesis, and the combined hypothesis that incorporates both. This study examined eye movement patterns in 215 Chinese children from first to fifth grade using sentence-reading tasks. Oculomotor maturation was measured through saccade tasks, and linguistic abilities were assessed using Chinese character recognition and vocabulary knowledge tests. Path analysis explored how these factors predict temporal and spatial eye movement measures. Results indicated that temporal measures were primarily driven by linguistic abilities, supporting the linguistic-proficiency hypothesis. Spatial measures, however, were influenced by both linguistic abilities and oculomotor maturation, supporting the combined hypothesis. These findings diverge from predictions of the E-Z Reader model in alphabetic scripts, likely due to the unique visual complexity of Chinese characters.