CPATH-2: Computational Thinking as a Foundation for Interdisciplinary Undergraduate Education

计算概念、技术和思想已经通过许多传统的？近几十年来，计算生物学和计算语言学等领域明确承认了它们的计算方面。然而，与此同时，这些学科的大多数学生接受的教育相对较窄，不会让他们接触到与其研究领域相关的广泛的计算概念和技术。亚利桑那大学的目标是通过在全校范围内合作努力，在信息科学和计算思维的各个领域培训学生，以解决这种情况。该项目开发、实施和评估了亚利桑那大学信息科学、技术和艺术学院(SISTA)本科课程的核心组成部分。SITA的愿景是确定计算思维、信息科学和技术的想法如何应用于各种学科；为许多专业的学生提供广泛的信息科学和计算思维基础；并培养学生？从大学一年级开始就有跨学科关系的意识。此外，校园各系之间的新关系将通过让教员参与各自学科中计算思维问题的研讨会，以及汇聚和支持多学科教员团队来设计、实施和教授新课程来形成。该模式旨在可移植到其他机构。结果和评价将广泛传播。

Computational concepts, techniques, and ideas have spread through many ?traditional? disciplines in recent decades, resulting in fields such as Computational Biology and Computational Linguistics that explicitly acknowledge their computational aspects. At the same time, however, most students in such disciplines receive a relatively narrow education that does not expose them to the wide range of computational concepts and techniques pertinent to their fields of study. The University of Arizona aims to address this situation via a campus-wide collaborative effort to train students in all fields in information science and computational thinking. This project develops, implements, and evaluates core components of the undergraduate curriculum for the School of Information Sciences, Technology, and Arts (SISTA) at the University of Arizona. The vision of SISTA is to identify how ideas in computational thinking, information sciences, and technology apply across a variety of disciplines; to provide a broad foundation in information science and computational thinking for students in many majors; and to foster students? awareness of interdisciplinary relationships starting with their first year at the university. Additionally, new relationships between departments across campus will be formed by engaging faculty in contributing to seminars on issues in computational thinking in their disciplines and in bringing together and supporting multi-disciplinary faculty teams to design, implement, and teach the new courses. The model is intended to be transferable to other institutions. Results and evaluations will be broadly disseminated.