Comparative Analysis of AI Usage among Faculty Members Based on Age and Teaching Experience

Artificial Intelligence (AI) has become an integral part of higher education and academic research practices. Faculty members increasingly use AI-assisted tools for literature review, academic writing, research idea generation, data interpretation, and content organization. The present study aimed to conduct a comparative analysis of AI usage among faculty members based on age groups and teaching experience in higher education institutions. A descriptive quantitative research design was adopted for the study. Primary data were collected from 55 faculty members through a structured bilingual Google Form questionnaire using a five-point Likert scale. Statistical techniques such as mean score analysis, ANOVA, and t-test were used for data analysis and interpretation. The findings revealed that faculty members across all age groups and experience categories actively use AI tools in research and academic activities. The mean AI usage score was comparatively higher among faculty members above 55 years (Mean = 4.14), while faculty members with 11–15 years of teaching experience showed slightly lower AI usage (Mean = 3.69). ANOVA analysis indicated no statistically significant difference in AI usage among different age groups (F = 0.267, p = 0.848). Similarly, t-test results showed no significant difference between younger and senior faculty members regarding AI adoption. The study concludes that AI technologies are widely accepted among faculty members irrespective of age and teaching experience. The research emphasizes the importance of AI literacy, ethical AI practices, and institutional support for responsible AI integration in higher education.

Artificial Intelligence, Faculty Members, Higher Education, AI Usage, Teaching Experience, Age Groups, Academic Research.

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