Using a Text Mining Assignment as an Intervention to Promote Student Engagement With DEI Issues

Using a Text Mining Assignment as an Intervention to Promote Student Engagement With DEI Issues
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使用文本挖掘作业作为干预措施来促进学生对 DEI 问题的参与

DOI:
10.1145/3408877.3432557
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发表时间:
2021
期刊:
SIGCSE bulletin
影响因子:
--
通讯作者:
Paguyo, Christina H.
Paguyo, Christina H.
中科院分区:
--
文献类型:
--
作者:
Leutenegger, Scott T.;Paguyo, Christina H.

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股权合作项目的目标是建立包容性的计算和工程专业心态,它描述了重视计算机科学技术和多样性、公平和包容 (DEI) 领域知识的学生的态度和身份。在本文中,我们展示了我们在文本挖掘专题课程中试点的干预结果。这种干预措施直接适用于任何数据挖掘课程。学生将朴素贝叶斯分类应用于调查结果数据集,并将响应分类为“技术”或“公平”,其中技术意味着调查问题响应侧重于技术问题,而“公平”意味着响应侧重于 DEI 问题。调查数据来自另一门课程,学生观看了 Joy Buolamwini 女士 2016 年“我如何对抗算法中的偏见”TedX 演讲,然后回答了有关该演讲的几个调查问题。在我们的文本挖掘课程中,学生首先被要求观看相同的 TedX 演讲并回答几个相同的调查问题。他们的答案已添加到原始数据集中。然后要求学生对一个问题的综合调查结果应用朴素贝叶斯分类。课程结束时,学生们进行了课堂调查,并回答了更多关于作业是否影响他们对计算领域 DEI 的思考的开放式问题。此次干预的结果表明,将 DEI 重点纳入技术编程作业可以积极影响学生对 DEI 重要性的看法,并有助于计算和工程专业思维的发展。
The goal of the Partnership For Equity project is to build inclusive computing and engineering professional mindsets, which describes attitudes and identities of students who value knowledge in both technical and diversity, equity, and inclusion (DEI) areas of computer science. In this paper we present results from an intervention we piloted in a text mining special topics class. This intervention is directly applicable to any data mining class. Students applied naive Bayes classification to a survey result dataset and classified responses as "technical" or "equity", where technical meant the survey question response was focused on technical issues, whereas "equity" meant the response was focused on DEI issues. The survey data came from another course where students watched Ms. Joy Buolamwini's 2016 "How I'm fighting bias in algorithms" TedX talk and then answered several survey questions about the talk. In our text mining course students were first asked to watch the same TedX talk and answer several of the same survey questions. Their answers were added to the original data set. Students were then asked to apply naive Bayes classification to the combined survey results for one question. At the end of the course students took an end of class survey and answered more open-ended questions about whether the assignment influenced their thinking about DEI in computing. Results from this intervention indicate that including a DEI focus in technical programming assignments can positively impact students' views on the importance of DEI and contribute to the development of computing and engineering professional mindsets.
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