Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses
复制标题
将负责任计算融入数据结构和算法课程的方法
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
S. Venkatasubramanian
中科院分区：
文献类型：
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作者：
Kathi Fisler;Sorelle A. Friedler;Kevin Lin;S. Venkatasubramanian
许多努力正在进行中，使计算机课程使学生准备好预测计算机的不利社会影响。目前，大部分注意力都集中在计算机科学入门课程和机器学习课程上，这些课程往往围绕着算法决策系统产生的偏见。这个小组的主讲人转而关注如何将负责任计算内容编织到数据结构和算法入门课程中。他们在不同的阶段都这样做，从第二学期的入门课程（所谓的CS2）到本科高年级或研究生早期课程。每个小组成员将描述他们对如何将负责任的计算融入他们的课程的看法，并从他们的课程中提出一个说明性的作业或讲座。会议的目标是激励其他计算机科学教师在他们自己的机构中将类似的内容应用到相应的课程中，同时在机器学习之外的核心计算机科学课程中培养一个负责任计算的实践社区。
Many efforts are underway to have computing curricula prepare students to anticipate adverse social impacts of computing. Much of the attention currently focuses on introductory CS courses and machine learning courses, often framed around bias that arises around algorithmic decision-making systems. The presenters on this panel have instead focused on ways to weave responsible-computing content into data structures and introductory algorithms courses. They have done so at different levels, ranging from second-semester introductory courses (so-called CS2) up through upper-undergraduate or early graduate courses. Each panelist will describe their perspective on how responsible computing fits into their course and present an illustrative assignment or lecture from their course. The goal of the session is to inspire other CS faculty to work similar content into corresponding courses at their own institutions, while also fostering a community of practice for responsible computing in core CS courses beyond machine learning.
这是关于权力的
影响因子：
22.7
作者：
Vakil, Sepehr;Higgs, Jennifer
通讯作者：
Higgs, Jennifer
DOI：
10.1145/3408877.3432432
发表时间：
2021-03
期刊：
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
影响因子：
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作者：
Yolanda A. Rankin;J. Thomas;S. Erete
通讯作者：
Yolanda A. Rankin;J. Thomas;S. Erete