Children's Eye-Tracking Data During Math Problem Solving

Eye-tracking data from 9- to 11-year-old children solving mathematical word problems. Joshua J. March published this 5.5 KB dataset on figshare in April 2026. The data measures total fixation times by word type, specifically comparing self-referential pronouns to other person references.

Use Cases

• Analyze the relationship between pronoun type and fixation duration based on the described eye-tracking measurements.
• Model cognitive load during mathematical problem-solving based on the described fixation patterns.
• Compare processing efficiency between addition and subtraction problems based on the described task results.
• Investigate the mechanisms of self-reference facilitation in working memory based on the described theoretical framework.

Strengths

• Data is collected via eye-tracking, a direct physiological measurement.
• Focuses on a specific age group (9- to 11-year-old children).
• Explicitly compares two problem types (addition and subtraction).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely collected via an experimental eye-tracking study.

Freshness

Last updated 2026-04-10 17:51:28; freshness should be verified.