A Study On Generational Preferences For Ai Training Formats Among Faculty Members Of Vadodara

Abstract

The purpose of this research is to learn about the different training formats for AI that faculty members in Vadodara prefer and the influence of different generations on making these decisions. 400 faculty members belonging to different age groups and institutions were surveyed. The research aimed to identify which modes — online, offline, or hybrid — are most in demand, how comfort and readiness to embrace AI tools vary with age, and which enhancements are recommended for further training. Normality tests were conducted on the data using Kolmogorov–Smirnov and Shapiro–Wilk tests, ensuring normal distribution. Reliability of the questionnaire was tested using Cronbach's Alpha, which provided a high value of 0.82. Independent Samples t-test, One-Way ANOVA, Paired Samples t-test, Chi-Square, and Pearson Correlation were applied to test the hypotheses. Findings indicated that blended learning is the most preferred mode and that young faculty are more inclined to embrace AI tools than aged faculty. Also noted by the findings are that age does come into play regarding the comfort level and the type of support required during AI training. Overall, the study indicates that tailored AI training needs to be designed with generational requirements in mind. These findings will assist institutions in crafting effective training programmes that inspire all faculty members to embrance AI with confidence.