LIFT: Integrating Stakeholder Voices into Algorithmic Team Formation

要旨

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.

キーワード
Algorithms
CATME
Learnersourcing
Crowdsourcing
Learning
Team formation
Team composition
著者
Emily M. Hastings
University of Illinois at Urbana-Champaign, Urbana, IL, USA
Albatool Alamri
University of Jeddah & University of Illinois at Urbana-Champaign, Jeddah, Makkah, Saudi Arabia
Andrew Kuznetsov
Carnegie Mellon University & University of Illinois at Urbana-Champaign, Pittsburgh, PA, USA
Christine Pisarczyk
University of Maryland & University of Illinois at Urbana-Champaign, College Park, MD, USA
Karrie Karahalios
University of Illinois at Urbana-Champaign, Urbana, IL, USA
Darko Marinov
University of Illinois at Urbana-Champaign, Urbana, IL, USA
Brian P. Bailey
University of Illinois at Urbana-Champaign, Urbana, IL, USA
DOI

10.1145/3313831.3376797

論文URL

https://doi.org/10.1145/3313831.3376797

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Equity & values in learning systems & activities

Paper session
313A O'AHU
5 件の発表
2020-04-30 01:00:00
2020-04-30 02:15:00
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