@inproceedings{626d214b61cf4dfdbbba9b3825a0d47a,
title = "LIFT: Integrating Stakeholder Voices into Algorithmic Team Formation",
abstract = "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.",
keywords = "algorithms, catme, crowdsourcing, learnersourcing, learning, team composition, team formation",
author = "Hastings, {Emily M.} and Albatool Alamri and Andrew Kuznetsov and Christine Pisarczyk and Karrie Karahalios and Darko Marinov and Bailey, {Brian P.}",
note = "Funding Information: This project is part of a larger work supported in part by the Academy for Excellence in Engineering Education at the University of Illinois at Urbana-Champaign. We would like to thank Priscilla Ferronato and Profs. Eric Benson, Alison Dunn, Grigore Rosu, Bruce Flachsbart, and Mariana Kersh for their support of the study and help with data collection. We also thank Farnaz Jahanbakhsh for her invaluable feedback. Publisher Copyright: {\textcopyright} 2020 ACM.; 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",
year = "2020",
month = apr,
day = "21",
doi = "10.1145/3313831.3376797",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",
}