LIFT: Integrating Stakeholder Voices into Algorithmic Team Formation

LIFT: Integrating Stakeholder Voices into Algorithmic Team Formation
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LIFT:将利益相关者的声音纳入算法团队组建中

DOI:
10.1145/3313831.3376797
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发表时间:
2020
期刊:
Proceedings of the CHI Conference on Human Factors in Computing Systems
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.;Alamri, Albatool;Kuznetsov, Andrew;Pisarczyk, Christine;Karahalios, Karrie;Marinov, Darko;Bailey, Brian P.

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团队组建工具假定教师应配置创建团队的标准,禁止学生参与影响其学习体验的过程。我们提出了Lift,这是一种以学习者为中心的新型工作流,学生提出、投票和权衡用作团队组建算法输入的标准。我们进行了一项实验(N=289),比较了LIFT和通常的教师指导的过程,并采访了参与者,以评估他们对LIFE及其结果的看法。学习者提出了现有算法工具中没有的新标准,如组织风格。他们避免了教师经常选择的性别和GPA等标准,而更喜欢那些促进有效合作的标准。Lift带来的团队成果与讲师主导的方法所取得的成果相当,团队重视控制团队形成过程。我们为讲师和设计师提供工作流程和证据支持,让学习者控制用于将他们分组到团队中的算法过程。
Team formation tools assume instructors should configure the criteria for creating teams, precluding students from participating in a process affecting their learning experience. We propose LIFT, a novel learner-centered workflow where students propose, vote for, and weigh the criteria used as inputs to the team formation algorithm. We conducted an experiment (N=289) comparing LIFT to the usual instructor-led process, and interviewed participants to evaluate their perceptions of LIFT and its outcomes. Learners proposed novel criteria not included in existing algorithmic tools, such as organizational style. They avoided criteria like gender and GPA that instructors frequently select, and preferred those promoting efficient collaboration. LIFT led to team outcomes comparable to those achieved by the instructor-led approach, and teams valued having control of the team formation process. We provide instructors and designers with a workflow and evidence supporting giving learners control of the algorithmic process used for grouping them into teams.
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