AI Influence in the Educational Environment

OverviewThis dataset contains anonymised responses (N = 44) from a November 2024 pilot survey that explored artificial-intelligence (AI) adoption among graduate students and young professionals (“young leaders”) in Uzbekistan and neighbouring Central-Asian countries.PurposeThe survey tested constructs later used in the main study on behavioural intention to adopt AI-enabled data-analytics tools for managerial decision making. Key variables include AI familiarity, usage frequency, comfort level, perceived efficiency gains, and concerns about transparency or bias.MethodData were collected online via Google Forms; participation was voluntary and fully anonymous. The CSV file contains Likert-scale and categorical responses, with a separate README describing each variable and coding scheme.Potential reuseResearchers can replicate or extend technology-acceptance models in emerging-economy contexts, compare student versus professional cohorts, or conduct secondary analyses on AI self-efficacy and algorithmic trust.File list• ai_pilot_radman2024.csv – raw responses• README.md – variable descriptions, survey instrument, codebookLicensed under CC BY 4.0.