High School Student Math Problem-Solving Data from Shanghai, 1,183 Students

Questionnaire and test data from 1,183 high school students in Shanghai, used to model the influence of motivation, self-regulation, self-efficacy, and mathematical thinking on problem-solving ability. The dataset was created by Jie Wang and last updated in April 2026. Analysis employed partial least squares structural equation modeling (PLS-SEM).

Use Cases

• Modeling the mediating role of mathematical self-efficacy based on questionnaire data.
• Analyzing the relationship between self-regulated learning and problem-solving ability based on test scores.
• Investigating the relative influence of personality traits versus domain-specific learning processes on math performance.
• Validating structural equation models for educational outcomes using student survey data.

Strengths

• Data from 1,183 high school students provides a substantial sample size for analysis.
• The study design integrates multiple psychological constructs (motivation, self-regulation, self-efficacy, thinking) into a unified model.
• Explicitly controls for prior academic performance in the analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a specific geographic region (Shanghai), which may limit generalizability.

Provenance

Source

Jie Wang via figshare.

Collection Method

Collected via questionnaire and mathematical performance tests from high school students.

Time Range

null

Freshness

Last updated 2026-04-13 04:32:12; freshness should be verified.

Geography

Shanghai, China.