Envisioning the Data Science Discipline: The Undergraduate Perspective

学院的一项研究将为本科阶段的新兴数据科学学科提出愿景。它将强调核心，基本原则，知识内容和数据科学特有的教学问题，包括将其与相邻学科区分开来的核心概念。它不会考虑创建材料，课程或程序的实用性。该研究将考虑数据科学的应用和职业发展这一愿景。重点将放在本科水平，同时酌情解决中学、高中和社区大学水平的相关问题，并借鉴创建硕士水平项目的经验。它将考虑这个新的STEM领域的出现所创造的机会，以吸引代表性不足的学生群体，并考虑如何减少现有STEM途径中的“泄漏”。信息收集将围绕两个研讨会进行，第一个研讨会可能侧重于原则和知识内容，第二个研讨会可能侧重于教学法及其对初中和高中以及社区学院的影响。为了快速获得记录材料并激发社区反馈，报告员撰写的研讨会总结报告将在审议后发布，阐述数据科学本科教育的愿景。这项研究的智力价值在于，它将通过探索多个部门在该领域的需求，阐明本科阶段数据科学的愿景，并借鉴迄今为止形成本科课程的经验。这项研究将借鉴研究委员会的专门知识和经验、委员会召开的讲习班上的情况介绍和讨论，以及相关社区对研究中期报告的回应。该项目及其报告将通过为设计和实施高校本科数据科学课程的人员提供和分享有价值的信息，促进此类课程的发展并在劳动力中建立数据科学专业知识，从而产生更广泛的影响。

An Academies study will set forth a vision for the emerging discipline of data science at the undergraduate level. It will emphasize core, underlying principles, intellectual content, and pedagogical issues specific to data science, including core concepts that distinguish it from neighboring disciplines. It will not consider the practicalities of creating materials, courses, or programs.The study will develop this vision considering applications of, and careers in, data science. The focus will be at the undergraduate level, while addressing related issues at the middle school, high school and community college levels, as appropriate, and drawing upon experiences in creating Master's-level programs. It will consider opportunities created by the emergence of this new STEM field to engage underrepresented student populations and consider ways to reduce the "leakage" seen in existing STEM pathways.Information gathering will center around two workshops, the first likely focused on principles and intellectual content, and the second likely focused on pedagogy and implications for middle and high schools and community colleges. To get material on the record quickly and spark community feedback, a rapporteur-authored workshop summary report will be issued following deliberations setting forth a vision for undergraduate education in data science.The intellectual merit of this study is that it will articulate a vision for data science at the undergraduate level by exploring the needs in this area across multiple sectors, and drawing upon experiences to date on fashioning undergraduate programs. The study will draw on the expertise and experience of the study committee, briefings and discussion at workshops convened by the committee, and input received from the relevant communities in response to the study's interim report. The study process is expected to yield a consensus view of intellectual content and pedagogical approaches.This project and its reports will have broader impact by providing and sharing valuable information for those designing and implementing undergraduate data science programs at colleges and universities, and by fostering the development of such programs and building data science expertise in the workforce.