Survey Data on Self-Regulated Learning and Employability Skills in Online Higher Education

A dataset of 241 higher education students with online learning experience, collected via structured questionnaire. The data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) to investigate relationships between self-regulated learning behaviors, self-evaluation, and employability skills. The dataset was authored by N. Fardhana Begum and last updated on 2026-05-20.

Use Cases

• Analyzing the relationship between self-efficacy and employability skills based on survey constructs.
• Investigating the mediating role of self-evaluation between learning behaviors and skill outcomes.
• Testing structural equation models for educational psychology research.
• Comparing the effects of goal setting versus task strategies on skill development in online contexts.

Strengths

• Data from 241 higher education students provides a substantive sample size for analysis.
• Explicitly grounded in Social Cognitive Theory, providing a clear theoretical framework.
• The analysis method (PLS-SEM) is clearly stated, suggesting a structured analytical approach.

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 small (25.6 KB), indicating limited scope and likely a small number of variables.

Provenance

Source

figshare

Collection Method

Collected from higher education students using a structured questionnaire.

Freshness

Last updated 2026-05-20 08:14:01; freshness should be verified.