Quasi-Experimental Study on Design Thinking in Career Education with 140 Participants

140 college students participated in a quasi-experimental study comparing design thinking pedagogy to traditional teacher-centered methods in career guidance courses. The dataset, authored by Yahong Cai and last updated in May 2026, contains quantitative scores from a career decision-making self-efficacy scale and qualitative interview data on perceived value. Analysis was conducted using independent samples t-tests, analysis of covariance, and thematic analysis.

Use Cases

• Compare the impact of design thinking versus traditional teaching on self-efficacy based on the quasi-experimental design.
• Analyze thematic patterns in student-perceived value of career education based on the qualitative interview data.
• Model the relationship between pedagogical intervention and career decision-making confidence based on the quantitative scale scores.
• Replicate or extend the study's mixed-methods analysis of practical skill acquisition and emotional empowerment.

Strengths

• Data collection employed a mixed-methods approach, combining quantitative scale data with qualitative interview data.
• Study design involved a quasi-experiment with 140 participants across experimental and control groups.
• Analysis utilized multiple statistical methods (t-tests, ANCOVA) and thematic analysis.

Limitations

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

Provenance

Source

Yahong Cai via figshare

Collection Method

Mixed-methods data collection using a career decision-making self-efficacy scale and semi-structured interviews from a quasi-experimental study.

Freshness

Last updated 2026-05-05 17:38:05; freshness should be verified.