IT Undergraduate Employability Survey Data from Sri Lanka

345 IT undergraduates in Sri Lanka participated in structured surveys assessing UI/UX, technical, and soft skills. The data was analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the influence of these skills on employability, moderated by gender and mediated by self-efficacy and proficiency. The dataset was authored by Dhamindi Senadheera and last updated on April 10, 2026.

Use Cases

• Analyzing the relationship between UI/UX skills and employability based on survey responses
• Investigating gender as a moderating factor in the link between soft skills and employability
• Examining the mediating role of self-efficacy across UI/UX, soft, and technical skill categories
• Modeling the influence of proficiency levels on the connection between technical skills and employability

Strengths

• Data collection involved 345 IT undergraduates, providing a specific sample size
• Analysis employs partial least squares structural equation modeling (PLS-SEM), a specific methodology
• The dataset explicitly examines UI/UX, technical, and soft skills together

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is limited to a specific sample of 345 IT undergraduates in Sri Lanka

Provenance

Source

figshare

Collection Method

Structured surveys administered to IT undergraduates

Freshness

Last updated 2026-04-10 17:51:54; freshness should be verified

Geography

Sri Lanka