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

Author:

Hastings Emily M.1,Krishna Kumaran Sneha R.1,Karahalios Karrie1,Bailey Brian P.1

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

Funder

NSF (National Science Foundation)

NSF

University of Illinois Strategic Instructional Innovations Program

Publisher

ACM

Reference43 articles.

1. 2017. Team-Maker Algorithm Detail. Retrieved 4 April 2019 from https://www. catme.org/faculty/help#TeamMakerScoring 2017. Team-Maker Algorithm Detail. Retrieved 4 April 2019 from https://www. catme.org/faculty/help#TeamMakerScoring

2. 2018. CATME Smarter Teamwork. Retrieved 31 August 2018 from http://info. catme.org 2018. CATME Smarter Teamwork. Retrieved 31 August 2018 from http://info. catme.org

3. Maite Barrios , Georgina Guilera , Laura Nuño , and Juana Gómez-Benito . 2021. Consensus in the delphi method: What makes a decision change? Technological Forecasting and Social Change 163 (feb 2021 ), 120484. https://doi.org/10.1016/j. techfore.2020.120484 Maite Barrios, Georgina Guilera, Laura Nuño, and Juana Gómez-Benito. 2021. Consensus in the delphi method: What makes a decision change? Technological Forecasting and Social Change 163 (feb 2021), 120484. https://doi.org/10.1016/j. techfore.2020.120484

4. Julia B Bear and Anita Williams Woolley . 2011. The role of gender in team collaboration and performance. Interdisciplinary science reviews 36, 2 ( 2011 ), 146--153. Julia B Bear and Anita Williams Woolley. 2011. The role of gender in team collaboration and performance. Interdisciplinary science reviews 36, 2 (2011), 146--153.

5. Deep-level composition variables as predictors of team performance: A meta-analysis.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Composing Team Compositions: An Examination of Instructors' Current Algorithmic Team Formation Practices;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

2. Does matching peers at finer-grained levels of prior performance enhance gains in task performance from peer review?;International Journal of Computer-Supported Collaborative Learning;2023-08-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3