BRIDGES: Real world data, assignments and visualizations to engage and motivate CS majors
BRIDGES: Real world data, assignments and visualizations to engage and motivate CS majors
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BRIDGES：真实世界的数据、作业和可视化，以吸引和激励计算机专业的学生
DOI：
10.1007/s10639-023-11958-4
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发表时间：
2023
影响因子：
5.5
通讯作者：
Goolkasian, Paula
中科院分区：
文献类型：
--
作者：
Burlinson, David;Mcquaigue, Matthew;Goncharow, Alec;Subramanian, Kalpathi;Saule, Erik;Payton, Jamie;Goolkasian, Paula
BRIDGES是一个软件框架，用于为数据结构和算法等必修课程创建引人入胜的作业。它为学生提供了简化的API，可以使用实时和真实世界的数据填充他们自己的数据结构实现，并为学生提供了轻松可视化他们在常规课堂练习中创建的数据结构的能力。目标是使用基础设施来促进对数据结构及其底层算法的更好理解。本报告描述了BRIDGES的基础设施，并提供了项目前五年收集的评估数据。在前两年，当我们开发BRIDGES项目时，我们的重点是收集数据，以评估增加BRIDGES练习是否对学生保留数据结构中的核心概念产生影响;在整个5年的项目期间，在线匿名收集学生兴趣和教师反馈。采用混合方法设计评价项目影响。一个准实验设计比较了学生队列谁注册在可比的课程部分，使用桥与那些没有。定性和定量的措施，并与课程成绩和平均成绩点一起使用。对BRIDGES编程作业的兴趣和相关性进行了评估，并从学生和教师那里获得了额外的调查数据。结果表明，与参加可比课程部分的学生相比，参与BRIDGES项目的学生在数据结构知识方面取得了更大的进步，并且在四门后续必修课程中表现出长期的优势。对调查的答复表明，需要投入一些时间来使用“桥”，但额外的努力与几个显著的成果有关。学生和教师对参与桥梁项目的价值有积极的看法。BRIDGES可以成为一种工具，让学生更多地参与关键的基础课程，展示当今计算挑战的相关性和背景。
BRIDGES is a software framework for creating engaging assignments for required courses such as data structures and algorithms. It provides students with a simplified API that populates their own data structure implementations with live and real-world data, and provides the ability for students to easily visualize the data structures they create as part of routine classroom exercises. The objective is to use the infrastructure to promote a better understanding of the data structure and its underlying algorithms. This report describes the BRIDGES infrastructure and provides evaluation data collected over the first five years of the project. In the first 2 years, as we were developing the BRIDGES projects, our focus was on gathering data to assess whether the addition of the BRIDGES exercises had an effect on student retention of core concepts in data structures; and throughout the 5-year duration of the project, student interest and faculty feedback were collected online and anonymously. A mixed method design was used to evaluate the project impact. A quasiexperimental design compared student cohorts who were enrolled in comparable course sections that used BRIDGES with those that did not. Qualitative and quantitative measures were developed and used together with course grades and grade point averages. Interest and relevance in BRIDGES programming assignments was assessed with additional survey data from students and instructors. Results showed that students involved in BRIDGES projects demonstrated larger gains in knowledge of data structures compared to students enrolled in comparable course sections, as well as long-term benefits in their performance in four follow-on required courses. Survey responses indicated that some investment of time was needed to use BRIDGES, but the extra efforts were associated with several notable outcomes. Students and instructors had positive perceptions of the value of engaging in BRIDGES projects. BRIDGES can become a tool to get students more engaged in critical foundational courses, demonstrating relevance and context to today’s computational challenges.
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BRIDGES：一个能够利用真实世界数据和可视化创建引人入胜的数据结构分配的系统
DOI：
10.1145/2839509.2844635
发表时间：
2016
期刊：
ACM SIGCSE 2016
影响因子：
--
作者：
Burlinson, David;Mehedint, Mihai;Grafer, Chris;Subramanian, Kalpathi;Payton, Jamie;Goolkasian, Paula;Youngblood, Michael;Kosara, Robert
通讯作者：
Kosara, Robert
影响因子：
2.2
作者：
B. Moskal;Deborah Lurie;S. Cooper
通讯作者：
S. Cooper
影响因子：
12.6
作者：
Stroebe, Wolfgang
通讯作者：
Stroebe, Wolfgang
通过实时网络数据改变计算机科学入门项目
DOI：
10.1145/2538862.2538941
发表时间：
2014
期刊：
Proceedings of the 45th ACM technical symposium on Computer science education
影响因子：
--
作者：
Austin Cory Bart;E. Tilevich;S. Hall;Tony Allevato;C. Shaffer
通讯作者：
C. Shaffer
POGIL 数据结构活动：学生看重什么？
DOI：
10.1145/3017680.3017697
发表时间：
2017
期刊：
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
影响因子：
--
作者：
T. VanDeGrift
通讯作者：
T. VanDeGrift