AI Influence in the Educational Environment

<b>Overview</b><br>This 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.<b>Purpose</b><br>The 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.<b>Method</b><br>Data 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.<b>Potential reuse</b><br>Researchers 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.<b>File list</b><br>• <code>ai_pilot_radman2024.csv</code> – raw responses<br>• <code>README.md</code> – variable descriptions, survey instrument, codebookLicensed under <b>CC BY 4.0</b>.