RELATIONSHIP BETWEEN AI-DRIVEN MICRO-CREDENTIALING AND LEARNER OUTCOMES IN TARGETED SKILL ACQUISITION AMONG UNIVERSITY STUDENTS

Abstract

The technological revolution has transformed the world from mere knowledge acquisition to skill acquisition. This has significantly altered the link between education and employment. This demands modification of traditional teaching methods to skill-based learning with integrate technology to combat the new world challenge. The study was aimed to the purpose i.e., “Exploring the Relationship Between AI-Driven Micro-Credentialing and Learner Outcomes in Targeted Skill Acquisition”. A quasi-experimental design was applied using two experimental and control groups, each comprising 60 university students. The data analysis included t-test, and regression analysis. The results indicated that the AI-driven micro-credentialing improved their learning outcomes, as well as the soft-skills among the experimental group. It was concluded that technology integration in the form of AI-driven micro-credentials provide as scalable, and reasonable connection between education, and skill acquisition and thus enhances learning outcomes offering actionable recommendations for educators, employers, policymakers, and researchers to leverage this potential responsibly.

Keywords: Artificial Intelligence (AI), Micro-Credentials, Skills-Based Education, University Students, SLOs