Effectiveness of AI-Powered Personalized Learning Tools among College Faculty in Tenkasi District

Author(s): Dr. M Sharmila Devi and Dr. K Kaleeswari

Abstract:

Artificial Intelligence (AI) has emerged as a transformative force in higher education, offering automation, data-driven decision-making, and individualized learning experiences. This study investigates the awareness, usage patterns, and effectiveness of AI-powered personalized learning tools among college faculty in Tenkasi District. A sample of 70 faculty members was surveyed using a structured questionnaire, and the data were analysed using percentage analysis, weighted averages, Chi-square tests, and ANOVA. The findings reveal moderate awareness (48.6%) and adoption of AI tools, with AI quiz tools and AI-based research assistants being the most commonly used. Teaching effectiveness was found to vary significantly across different levels of AI usage, indicating the strong pedagogical potential of AI integration. However, concerns related to over-dependence on AI, reduced originality, and risk of student misuse were also identified. The study concludes that while AI significantly enhances teaching effectiveness, its optimal integration requires comprehensive training, ethical guidelines, and institutional support. The insights from this study contribute to understanding AI adoption trends in semi-urban higher education contexts and provide recommendations for strengthening AI-based pedagogical strategies.

keywords:

Pages: 74-76     |    2 View     |    0 Download