🤖 AI Summary
本文提出信息管理框架，通过整合伦理、公民和专业素养教育，培养学生成为负责任的数据生产者和消费者，以解决统计和数据科学教育中的目标多元化问题。
📝 Abstract
Recent recommendations in statistics and data science education emphasize goals that extend beyond content mastery, including statistical literacy, evidence-based decision-making, communication, ethics, responsible use of data, and civic responsibility. We argue these goals can all be understood through a common lens: helping students become better stewards of information. Stewardship of information provides a unifying framework for the formation of students as statisticians, data scientists, and citizens who are thoughtful producers and consumers of data and evidence, communicate findings with integrity and transparency, engage critically with data ethics, recognize the human beings behind the data, and harness data to make informed decisions, serve communities, and advance the common good. We present stewardship of information as a developmental model that can be introduced early and revisited with increasing sophistication across a curriculum, including in introductory, advanced, applied, and theoretical courses. To illustrate this approach, we provide concrete examples of course activities and curated weekly readings as a low-barrier implementation strategy and present preliminary evidence of student engagement with the framework. By offering both a conceptual foundation and practical implementation strategies, this paper contributes a coherent approach for integrating ethical, professional, and civic formation across the statistics and data science curriculum.