AI-Enabled Learning Platforms and Their Impact on Faculty Skill Development and Productivity: Evidence from Arts and Science Colleges in Coimbatore District

Abstract

The integration of artificial intelligence (AI) into higher education has transformed teaching and academic practices through the emergence of AI-enabled learning platforms. These platforms support personalized learning, automated assessment, and data-driven academic decision-making, thereby influencing faculty performance. The present study examines the impact of AI-enabled learning platforms on skill enhancement and productivity among faculty members of Arts and Science colleges in Coimbatore District. Primary data were collected from 120 faculty members using a structured questionnaire. The study employs descriptive statistics to assess awareness and usage patterns, Exploratory Factor Analysis to identify underlying dimensions of AI platform usage and skill enhancement, and Structural Equation Modeling to examine the relationships among AI-enabled learning platforms, faculty skill development, and productivity. The findings indicate that effective use of AI-powered learning platforms significantly enhances faculty digital competence, pedagogical effectiveness, and research capability, which in turn positively influences teaching efficiency and academic productivity. The study highlights the importance of institutional support and positive faculty attitudes in promoting successful AI adoption. The results offer valuable insights for higher education institutions in designing policies and training initiatives to improve faculty performance through AI-driven learning technologies.