Examining the Career Readiness of Undergraduates through Work-Integrated Learning: The Mediating Pathway of Self-Efficacy and Differences by AI Competence

Description

This dataset contains survey responses collected from undergraduate students to examine the relationship between Work-Integrated Learning (WIL), self-efficacy, and career readiness. The dataset includes measures of four WIL dimensions: Integration of Theory and Practice, Learning Supports and Preparation, Stakeholder Engagement and Partnership, and Assessment and Reflection. Self-efficacy is measured across three dimensions, while career readiness is assessed through Occupational Expertise, Career Clarity, and Networking. The dataset also includes AI competence measures used to examine differences across levels of AI competence. The data were analyzed using quantitative methods, including Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi-Group Analysis (PLS-MGA), to investigate direct, mediating, and group-differential relationships among the study constructs.

Institutions

• University of Sargodha

  Punjab, Sargodha

Categories

Licence