A Learner-Centered Technique for Collectively Configuring Inputs for an Algorithmic Team Formation Tool

A Learner-Centered Technique for Collectively Configuring Inputs for an Algorithmic Team Formation Tool
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一种以学习者为中心的技术,用于集体配置算法团队形成工具的输入

DOI:
10.1145/3478431.3499331
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发表时间:
2022
期刊:
Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2022
影响因子:
--
通讯作者:
Bailey, Brian P.
Bailey, Brian P.
中科院分区:
--
文献类型:
--
作者:
Hastings, Emily M.;Krishna Kumaran, Sneha R.;Karahalios, Karrie;Bailey, Brian P.

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教师在算法团队组建工具中输入的配置决定了学生如何分组到团队中,从而影响他们的学习体验。决定配置的一种方法是征求学生的意见。之前的工作调查了学生喜欢的团队组建标准,但没有研究学生如何确定标准的优先顺序,或者学生在多大程度上同意彼此。本文描述了一种收集学生偏好的工作流程,以了解如何对输入到团队组建工具中的标准进行加权,并给出了在同一基于项目的设计课程的四个学期中实施该工作流程的研究结果。在最近的学期,工作流程还补充了在线同行讨论,以了解学生选择的理由。我们的结果显示,学生最希望与课程承诺相同、课程表相容的其他学生在一起。学生接下来对人口统计属性进行优先排序,然后是任务技能,如项目工作所需的编程。我们发现这些结果在课程的每个实例中都是一致的。教师可以使用我们的结果来指导他们自己的基于项目的设计课程中的团队组建,并复制我们的工作流程来收集学生对任何课程中团队组建的偏好。
The configuration that an instructor enters into an algorithmic team formation tool determines how students are grouped into teams, impacting their learning experiences. One way to decide the configuration is to solicit input from the students. Prior work has investigated the criteria students prefer for team formation, but has not studied how students prioritize the criteria or to what degree students agree with each other. This paper describes a workflow for gathering student preferences for how to weight the criteria entered into a team formation tool, and presents the results of a study in which the workflow was implemented in four semesters of the same project-based design course. In the most recent semester, the workflow was supplemented with an online peer discussion to learn about students' rationale for their selections. Our results show that students want to be grouped with other students who share the same course commitment and compatible schedules the most. Students prioritize demographic attributes next, and then task skills such as programming needed for the project work. We found these outcomes to be consistent in each instance of the course. Instructors can use our results to guide team formation in their own project-based design courses and replicate our workflow to gather student preferences for team formation in any course.
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