Using Student and Teacher Feedback to Modify CS Curriculum
Using Student and Teacher Feedback to Modify CS Curriculum
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利用学生和教师的反馈来修改计算机科学课程
DOI：
10.1145/3545947.3576364
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Hubbard Cheuoua, Aleata
中科院分区：
文献类型：
--
作者：
Echeverria, Fernando;Kao, Yvonne;Hubbard Cheuoua, Aleata
多年来，CS教育界已经认识到数据科学的重要性，将其纳入了开创性的K-12 CS框架。这一举措是由研究推动的，该研究表明数据科学是扩大CS参与的一个很好的工具，因为它为学生提供了一个将他们的计算知识应用于社会相关问题的机会。扩大参与，特别是在代表性不足的学生中，对该领域未来的健康和稳定至关重要。然而，数据科学在K-12学校的背景下仍然是一个相对较新的领域，很少有CS教师接受过数据科学的教学培训。为了测试数据科学是否可以成为增加CS学生代表性的工具，并帮助学校实施更多的数据科学课程，我们的项目与当地学区合作，修改现有的数据科学单元。这项工作探讨了我们的研究实践伙伴关系如何解决新数据科学单位的发展过程。
The CS education community has over the years recognized the importance of data science by including it in the seminal K-12 CS Framework. The move is prompted by research that shows data science is a great tool to broaden participation in CS because it offers students an opportunity to apply their computing knowledge to socially relevant problems. Broadening participation, particularly among underrepresented students, is critical to the future health and stability of the field. However, data science is still a relatively new in the context of K-12 schools and few CS teachers are pedagogically trained in data science. In order to test whether or not data science can be a tool to increase student representation in CS and help schools implement more data science curriculum, our project partnered with a local school district to modify an existing data science unit. This work explores the process of how our research practice partnership tackled the development of the new data science unit.
呼吁对 K-12 数据科学教育采取人文立场
影响因子：
8.2
作者：
Lee, Victor R.;Wilkerson, Michelle Hoda;Lanouette, Kathryn
通讯作者：
Lanouette, Kathryn