Dataset of GenAI Preference and Digital Citizenship Multidimentional

This dataset presents information on generative artificial intelligence (GenAI) preferences and multidimensional digital citizenship among 2008 prospective civic education teachers in Indonesia. Data were collected through a online survey covering demographic profiles (gender, year of study, parental education, and occupation), types and purposes of GenAI usage, and validated measures of digital citizenship across four sub-dimensions: digital inclusion, information and digital competence, civility and ethics, and digital engagement. Additional variables include self-efficacy and concerns related to GenAI use (attitude toward behavior and technology anxiety), providing a comprehensive view of how emerging technologies intersect with civic competencies in higher education. Structured for reproducibility and potential reuse, this dataset can support cross-regional comparisons, longitudinal extensions, and alternative analytical approaches. It provides researchers, educators, and policymakers with empirical evidence to inform theoretical developments, comparative studies, and policy design on digital citizenship and the responsible use of generative AI in education.本数据集收录了印度尼西亚2008名准公民教育师范生的生成式人工智能（generative artificial intelligence, GenAI）使用偏好与多维数字公民素养（multidimensional digital citizenship）相关信息。数据通过在线调查收集，调查内容涵盖人口统计学特征（demographic profiles）：性别、就读学年、父母受教育程度与职业，生成式人工智能的使用类型与用途，以及经信效度验证、覆盖四个子维度的数字公民素养测评指标：数字包容、信息与数字能力、文明与伦理、数字参与。额外收录的变量还包括自我效能感（self-efficacy）以及与生成式人工智能使用相关的顾虑，具体涵盖行为态度（attitude toward behavior）与技术焦虑（technology anxiety），以此全面展现新兴技术与高等教育公民能力的交叉融合态势。本数据集经过结构化设计以保障可复现性与潜在复用价值，可支持跨区域比较、纵向拓展研究以及多元分析方法的应用。其可为研究人员、教育工作者与政策制定者提供实证依据，助力数字公民素养与教育领域生成式人工智能负责任使用相关的理论发展、比较研究与政策设计。